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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a GTM Strategy & Operations Business Partner supporting the AMER Enterprise Tech organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives. This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization. We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it. Key responsibilities Strategic Analysis, Operations & Planning Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive Data-Driven Decision Support Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale Leverage Claude to its full capability Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why" Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency Go-to-Market Execution Develop and maintain use case frameworks to capture and standardize how customers derive value Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions Executive Stakeholder Management Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities Cross-Functional Collaboration Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business Support coordination between AMER Enterprise sales segments and partnership teams Help prepare materials for executive reviews and planning sessions Minimum qualifications Deep alignment to Anthropic’s mission Experience in sales strategy, revenue operations, management consulting Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.) Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments. An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations. A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations. Track record of driving forward high-growth sales organizations Disciplined project management and exceptional communication and interpersonal abilities A desire and readiness to do the best work of your career Bachelor's degree required; MBA or advanced degree preferred Preferred qualifications 10+ years of experience in sales strategy, revenue operations, management consulting Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building Experience with AI/ML companies and consumption business models Prior experience building frameworks for sales use cases or value propositions Background in scaling sales organizations through 2-3x+ growth periods The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Seattle; New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. ABOUT THE ROLE We're looking for a creative yet technical marketer... someone who can write the ad copy, build the segment, run the test, and then navigate based on the quantitative signals. You'll own growth end to end: paid, organic, lifecycle, experimentation, across every channel we touch, not just one lane. Right now the biggest opportunities on our plate are: - Conversion hacking across the site and landing pages - Webinars, from topic strategy and audience segmentation through to pipeline and signup conversion - Social hacking, working alongside product marketing and DevRel - AEO (answer engine optimization) - Re-engagement audience hacking for people who've gone quiet - Segment testing at scale, from lookalikes to usage-pattern and conversion-pattern based audiences, feeding Google, Meta, LinkedIn and beyond But the role isn't limited to that list. You'll have a hand in every part of growth and lifecycle marketing, and you're expected to bring your own ideas about where the next win is, not just execute a queue. WHAT YOU'LL DO Own the full funnel - Work both motions: self-serve signups that need to activate and convert, and accounts that need to become sales-qualified pipeline. Neither one is a side project. - Take plays from spec to live: audience, signal, message, channel, landing page, conversion. You get support on strategy and full ownership of execution. Run experiments like they matter - Define the metric, the guardrail, and the sample size before anything ships, not after the data looks interesting. - Do your own analysis: cohort curves, funnel step conversion, segment cuts, time-to-activation, cost per activated account, cost per SQA. SQL against the warehouse, not a screenshot of a dashboard. - Know the difference between a real lift and noise, and say so out loud, even when it's your own play that lost. Build with agents, not just tools - Build agent workflows daily: research, list building, lookalike testing, personalization, creative variants, landing page drafts, competitor monitoring, post-test analysis. - Point agents at our stack (Clay, HubSpot, Apollo, our marketing MCP) so plays run with you supervising, not clicking through every step. - Prototype fast and for real: a scraper, a scoring pass, a signal listener, a one-off page, instead of scoping it out to someone else. Segment and test relentlessly - Wire intent signals (Clay intent, product usage, DuckDB and community activity, job changes, hiring and tooling signals) into plays that feed both self-serve signup and pipeline. - Build LinkedIn and other channel automations: engage motions, Clay-synced ad audiences, retargeting off product and content behavior. - Run a real volume of tests across the funnel: landing pages, signup flow, activation moments, lifecycle and in-product email, outbound messaging, list sources. A high test count is the job, not a sign you're thrashing. Own social, nurture, and event presence - Own social strategy end to end, including managing the social agency. - Own email nurture content and design, with your manager weighing in on strategy and voice. Scale what works, kill what doesn't - Hand proven winners to marketing ops to productionize, then move on to the next unproven thing. - Flag plateaus early instead of keeping a play alive just because it's yours. WHAT WE'RE LOOKING FOR - Hands-on experience with Claude Code or similar LLM tooling. This isn't a "used ChatGPT once" bar, we mean you actually build with agents. - A resume with real quantitative results: pipeline contribution, PLG or SLG conversion metrics, cost per activated account/SQA, that kind of thing. - Cross-channel growth experience with genuine technical chops (comfortable in SQL, can run your own cohort analysis and basic stats on test results). - Background at a high-growth company (data/AI space preferred, but a Ramp-equivalent is fine too). - 1-3 years in growth, performance marketing, demand gen, or a scrappy generalist marketing role, or a track record of building growth things on your own that speaks for itself. - Great writing, and credibility with a developer and data audience. - A bias toward shipping. If you see something no one owns, that's an opening, not a blocker. WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME - Your manager: "I stopped worrying about whether the test was set up right months ago." - Sales: "Growth's signals are actually why we booked that meeting." - Marketing ops: "I just productionized three of their plays this month and they're already onto the next thing." - A candidate who interviewed and didn't get the offer: "That was one of the more thoughtful processes I've been through." - You, to yourself: "That play flopped, here's exactly why, here's what I'm testing next." PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Product Specialist — Trust, Identity & Compliance About the job This position is needed to architect and validate Twilio’s most complex, highest-impact, multi-product opportunities by translating Twilio’s portfolio into secure, scalable, and executive-ready architectures. You will operate as the regional technical authority for your specialty, partnering tightly with Generalist Solutions Engineers (SEs) and Account Executives (AEs) while engaging Enterprise Strategists and Value Engineers to accelerate outcomes. You’ll also serve as a key bridge between GTM and R&D—codifying repeatable architecture patterns, elevating field capability, and influencing roadmap through formal interlocks. Responsibilities In this role, you’ll: Architect and validate end-to-end, multi-product solutions that fit into customer ecosystems—often across multiple teams, regions, and lines of business. Lead technical discovery, solution mapping, and validation strategy (workshops, demos, POCs) to remove architectural risk and secure stakeholder alignment. Scope and validate architectures with emphasis on: Build and deliver exec/architect-ready presentations that communicate tradeoffs, implementation path, and long-term platform vision. Document customer patterns, technical shifts, and competitive signals; synthesize into actionable product feedback. Drive influence via Product & R&D interlock, GTM product escalations, and PDLC feedback mechanisms. Act as a visible thought leader (internal/external) on trust, identity, security, fraud, and compliance trends—shaping Twilio’s point of view and technical narrative. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Demonstrated ability to lead and win complex, multi-stakeholder solutions cycles (discovery → architecture → validation → proposal support). 7+ years progressive presales experience (solutions engineering, sales engineering, or specialist overlay), including complex solution architecture. 4+ years depth in at least one trust-related domain (identity verification, authentication, security, fraud/abuse, compliance), including: Strong executive communication skills: ability to influence C-level and senior technical audiences with crisp architecture narratives and tradeoffs. Proven ability to build durable cross-functional partnerships (Sales, SE leadership, Product, Engineering, Marketing) and drive outcomes through influence. Experience capturing and communicating customer requirements and trends to influence product strategy/roadmap. Desired: Experience operating as a regional technical authority (standard-setting, coaching, asset creation) rather than only deal-by-deal support. Track record building repeatable architectures/plays that scale across teams. Experience partnering deeply with Product/PMM on positioning, roadmap feedback, and launch readiness. Familiarity with adjacent trust capabilities such as encryption/key management concepts, audit logging, incident response, A2P/10DLC considerations, and data residency architectures. Experience across multiple product areas within a platform/API company; comfort stitching together messaging/voice/contact center/data capabilities into unified solutions. Location This role will be remote and based in the US. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 25% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Minnesota or Vermont : $138,872.00- $173,590.00. Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $146,592.00 - $183,240.00. Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $154,304.00 - $192,880.00. This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 11, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Atlanta, GA (Hybrid) The Position CallRail is looking for a Product Manager to join our team that supports our core integrations, public API and webhooks products . This is a build role. You’ll ship net-new integrations with platforms our customers depend on — automotive and healthcare tools, scheduling systems, workflow platforms like Zapier — and you’ll deepen the ones we already have. You’ll also own the shared service and framework those integrations run on, and the developer-facing API and webhook surface that thousands of customers and partners build on top of. The other half of the job is keeping the ecosystem healthy. Integrations break in ways ad campaigns don’t, and you’ll be the person who decides what gets fixed first. That means working shoulder to shoulder with Support, Sales, and Marketing — they hear about problems before dashboards do, they know which integration is blocking a deal, and they need you to tell them what’s coming and when. This role suits a hands-on, technically fluent PM who wants to ship real integrations, cares about customer product experience, and works in an environment where AI is a daily tool rather than a talking point. What You'll Do Build and deepen integrations Ship net-new core integrations — new verticals like automotive and healthcare, scheduling and workflow platforms, and the partners our roadmap calls for next. Deepen existing integrations past MVP: fill functional gaps, expand data coverage, and make the ones customers already rely on genuinely good. Own the shared service and framework every integration inherits — data sync, authentication, error handling, and retries — and the tooling that makes the next integration cheaper to build than the last. Own the integrations UI and library: how customers discover, connect, configure, and troubleshoot what we’ve built. Own the API and webhooks Own CallRail’s public API and webhooks as a product, not a byproduct: new capabilities, versioning strategy, deprecation paths, and the developer experience around them. Drive parity between our API and webhooks so developers get consistent data and behavior regardless of how they consume it. Own API documentation, the developer dashboard, and the administration and billing experience for API access. Define and monitor the health metrics developers actually feel — latency, error rates, rate-limit behavior, webhook delivery reliability — and act on them. Prioritize and triage Own the integrations bug queue. Triage incoming issues, and make the reliability work that keeps the ecosystem healthy visible and scheduled rather than invisible and endless. Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks. Close the loop with Support — build the intake path that turns ticket patterns into prioritized work, and give them the answers and workarounds they need in the meantime. Keep Sales and Marketing ahead of the roadmap: what’s shipping, what’s fixed, what’s still broken, and what they can confidently sell and promote. Cross-functional Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front. Lead discovery with customers, developers, and internal teams to validate problems before scoping solutions. Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption. Represent core integrations and the API in planning cycles and cross-functional initiatives. What You'll Need 3-5 years of product management experience , including meaningful time on integrations, APIs, developer tools, or platform-oriented work. Background in marketing tech, communications tools, or call tracking ecosystems. A track record of actually shipping B2B SaaS integrations end to end — not just governing a platform others built on. Strong technical fluency. You read API documentation comfortably, reason about data models and auth flows, understand webhooks and event delivery semantics, and can scope edge cases with engineers without needing a translator. Hands-on experience with public or partner APIs — REST, OAuth, versioning, rate limiting, pagination, and webhook reliability patterns. Demonstrated fluency with AI tools (Claude or similar) in your actual day-to-day product work. Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice. Comfort with the unglamorous half of integration work: bugs, migrations, and reliability — and the judgment to prioritize it against net-new. Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives. Experience in Agile teams working closely with engineers and designers. Excellent written communication. Integration decisions live or die by how well they’re documented. Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma. Nice to Have Experience building or scaling a developer platform, API program, or developer portal. Experience with vertical software ecosystems — automotive, healthcare, home services, or legal. Experience with MCP, agent frameworks, or designing APIs intended for AI consumption. Working With AI at CallRail AI is core to how our product team operates, and we expect it to be core to how you operate. We use Claude across discovery, spec writing, data analysis, prototyping, and internal tooling, and we’re actively building AI capabilities into the product itself. In this role you will: Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring API data, and building throwaway scripts and prototypes to answer questions faster than a meeting could. Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster. Think about CallRail’s platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you’ll help shape our point of view there. Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps. We’re looking for evidence that you’ve already changed how you work because of these tools — not just enthusiasm about them. If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

Location: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United Kingdom only. Candidates based in the United States or Canada can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Berlin; Munich ROLE HIGHLIGHTS: - Program Director - Germany - Location: Germany (regular travel is expected) - we can provide relocation support - Department: Missions - Reports to: VP Missions Program - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: Define and lead ICEYE’s Missions delivery capability in Germany, driving strategic customer success, scalable program execution, and long-term mission growth across defense and intelligence customers. You will own the full lifecycle of customer missions—from contract strategy through delivery and renewal—serving as the senior accountable leader across engineering, product, operations, and commercial teams. You will set the standard for how ICEYE delivers sovereign and turnkey ISR missions, building the model, the team, and the customer relationships that underpin repeatable mission success. This role is central to ICEYE’s ambition to become the world’s leading provider of space-based ISR infrastructure. You will shape the Missions function in the region, influence how ICEYE engages at the highest levels of government, and contribute to the strategic and commercial direction of the business. The role is based in Germany with regular travel to Espoo (Finland) and to customer sites across the region as required. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. EXPECTED OUTCOMES   - Satellite Mission programs are delivered predictably on schedule, within budget, and meeting or exceeding agreed performance and quality targets, with the Director accountable for program-level health and risk posture. - ICEYE establishes and sustains trusted, senior-level partnerships with German defense and intelligence customers, reflected in strong satisfaction scores, program renewals, and expansion into new mission areas. - A scalable Missions delivery model is established in Germany — with the team structure, processes, tooling, and KPIs required to grow reliably as the customer base expands. - Commercial opportunities across renewal, expansion, and new mission areas are proactively identified, with the Director aligning signals and pursuit strategies with Sales and Product teams. - Strategic risks, dependencies, and customer escalations are owned and resolved at the Director level, ensuring continuous delivery and protecting the ICEYE relationship at all stakeholder levels. - Program management practices drive measurable improvements in delivery efficiency, scalability, and predictability across the German programs. - Stakeholders at all levels — from technical users to C-level sponsors — have timely, accurate visibility into program status, enabling informed decision-making and early intervention where needed.   WHAT WE’RE LOOKING FOR Must haves: - Strategic thinking and customer engagement experience, working at multiple levels of customer organizations — from technical users to C-level sponsors — while maximizing customer value through win-win solutions. - Experience of successfully building, leading, and scaling a customer engagement model, team, processes, tooling, and KPIs in a recurring B2B business; balancing people leadership, process discipline, and cross-functional collaboration. - Commercial acumen to identify and pursue renewal and expansion opportunities, feeding signals and aligning with Sales and Product teams. - 10+ years’ experience leading complex, multi-stakeholder programs in advanced technology environments (e.g. space, defense, telecommunications, or national security sectors). - Demonstrated track record of operating at Director or equivalent level, owning program portfolios and accountability for customer outcomes. - Proven experience building and leading high-performing teams in international, matrixed organizations. - Expertise in end-to-end program governance, planning, financial control, risk, and performance management at scale. - Ability to navigate ambiguity and drive decisions in high-stakes, time-pressured environments. - Exceptional communication and executive presence; credible with senior government, defense, and industry stakeholders. - Degree in business, engineering, or a related field. - You speak fluent German and English. - Must have or be able to obtain suitable security clearance in Germany. Nice to haves: - Experience in Earth Observation (EO), SAR, or remote sensing. - Background in sovereign or government-owned satellite missions. - Experience working with German/European defense and intelligence customers. - Knowledge of hardware, software, or embedded systems development in mission-critical environments. - Advanced degree (Master’s or equivalent) or relevant certifications (e.g. PgMP, PMI, or defense program management qualifications).   APPLICATION PROCESS - Initial interview with Talent Attraction - Hiring Manager interview with VP Missions Program - Case interview - Interview with CEO Germany - Final interview with SVP Missions - References WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Product / Web Designer at junior level to join our APAC Partnerships team in Vladivostok, working with our HQ Design team. This role is the design half of a two-person build pair: you and the Partnerships Backend Engineer take an inbound partnerships inquiry and turn it into something a player actually sees — a co-branded web shop, a campaign landing page, a creator or affiliate destination page — and ship it together. You will design conversion-oriented commerce surfaces for the Traffic Source Partners we onboard, adapt Xsolla and partner brand systems into one coherent look per campaign, and build a reusable component library so the next campaign launches faster than the last one. You will hand off to engineering with real specs and then review the implementation until it matches. This is an entry-level design role with a live audience. We care more about your portfolio and your eye than your years of experience — recent graduates and self-taught designers with strong work are welcome. If you like designing things that get measured, and you want to see your work convert real traffic in APAC markets, we would love to hear from you. RESPONSIBILITIES Design partner-facing surfaces Design the frontend surfaces created for Traffic Source partnerships: co-branded web shop themes, campaign landing pages, affiliate and creator destination pages, promotional banners, and in-shop merchandising. Design responsive, mobile-first layouts with the purchase funnel in mind — clarity, hierarchy, trust signals, and a short path to checkout. Adapt Xsolla brand guidelines and each partner's brand into a single coherent visual system per campaign, without breaking either. Localise and adapt designs for APAC markets, accounting for language length, local conventions, and regional payment and merchandising context. Ship with engineering Work directly with the Partnerships Backend Engineer to take designs from Figma into working frontend — provide specs, states, breakpoints, tokens, and exported assets, then review the build until it matches the design. Build and maintain a reusable component and template library so new partner campaigns can be assembled rather than designed from scratch. QA implemented pages across browsers and devices and raise the gaps. Supporting work Create supporting collateral for partnerships inquiries: pitch visuals, one-pagers, deck slides, and social or creator kit assets. Collaborate with HQ Design, follow and contribute to the Xsolla design system, and keep design files, naming, and handoff documentation organised. Take feedback constructively from HQ Design, Partnerships, and partners, and iterate quickly. Track work in Jira and keep design documentation current in Confluence. REQUIREMENTS 1–4 years of experience in product, web, or UI design, or a strong portfolio of personal, freelance, or academic work. A portfolio is required for this application. Proficiency in Figma — components, auto-layout, variants, and prototyping. Solid grounding in layout, typography, visual hierarchy, colour, and responsive / mobile-first design. Working knowledge of Adobe Creative Suite (Photoshop, Illustrator) for asset production. An understanding of what makes a landing page convert, and a willingness to have your design judged on that. Able to work within an existing design system and brand guidelines rather than around them. Attention to detail and a high standard of quality in design execution. English sufficient for daily collaboration with the HQ Design team; Russian for day-to-day work in the Vladivostok office. Based in, or willing to relocate to, Vladivostok for an onsite role. NICE TO HAVE Basic HTML and CSS — enough to spec accurately and QA an implementation. Motion and micro-interaction work (After Effects, Framer Motion, Rive, Lottie). Experience designing e-commerce, storefront, or checkout flows. Experience with marketing landing pages, A/B testing, or conversion optimisation. Illustration, 3D, or custom asset creation skills. Familiarity with the gaming industry, creator and influencer marketing, or affiliate campaigns. Additional languages relevant to APAC coverage (Korean, Chinese, Japanese). Professional education in design or a related field. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment   The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Philippines Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement.   TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes.   Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans. - Account Health & Engagement: Monitoring adoption and account health within your book, executing standard plays to drive engagement, and escalating risks appropriately. - Process Optimization & Solution Design: Collaborating with customers to understand key workflows and configure ClickUp solutions using established best practices, templates, and guidance from senior TAMs. - Innovation Adoption & Workflow Automation: Guiding customers in adopting relevant features, including AI and automation, primarily by implementing standard patterns and documented workflows to improve efficiency and outcomes. - AI-Native Execution: Using AI in your own day-to-day workflow to synthesize discovery, accelerate account preparation, improve documentation quality, draft clearer recommendations, and increase the consistency and speed of customer follow-through while maintaining strong judgment and accuracy. CORE RESPONSIBILITIES: New Customer Onboarding - Support end-to-end onboarding and implementation of ClickUp for assigned customers using established discovery frameworks, templates, and project plans. - Translate functional and technical requirements into ClickUp solutions for standard use cases under the guidance of more senior TAMs when needed. - Guide customers through setup, integrations, and change management fundamentals, escalating complex scenarios appropriately. - Use AI-assisted workflows where appropriate to prepare for discovery, summarize implementation decisions, and improve the speed and quality of customer follow-up. Account Health Management - Monitor health for your book of business, including utilization, key feature adoption, and champion/stakeholder engagement. - Execute standard adoption plays and account review cadences to maintain or improve health, leveraging existing playbooks and frameworks. - Identify risks early and partner with senior TAMs and account teams to build and execute recovery plans. - Run recurring meetings with your accounts, sharing usage summaries, recommended next steps, and capturing follow-ups. - Connect AI adoption, automation usage, and workflow improvements to measurable customer outcomes such as efficiency gains, stakeholder adoption, and expansion signals. Workflow Mapping (IER Framework) - Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows using established discovery guides and templates. - Recommend optimizations based on documented best practices and apply workflow templates to support scale and consistency. - Maintain clear documentation of customer workflows, data models, and configuration decisions following team standards. - Use AI to help analyze repetitive workflow patterns, identify process friction, and sharpen recommendations — while validating outputs before using them with customers. AI Enablement & Agent Deployment - Support adoption of ClickUp AI across relevant customer workflows by configuring and testing standard AI workflows and automations aligned to published best practices. - Provide training and consultation on how to use existing AI and automation patterns; escalate novel or complex use cases to senior TAMs or specialists. - Track and report AI usage and credit consumption against plan, surfacing straightforward opportunities to deepen adoption. - Evaluate AI-generated outputs for accuracy, usefulness, and business relevance before sharing recommendations or enabling them in customer workflows. - Help customers move from feature awareness to practical workflow transformation by identifying where AI can remove manual work, improve reporting quality, or speed execution in repeatable ways. Customer Success & Expansion - Serve as the technical partner for assigned accounts, connecting usage to business value using established value frameworks and artifacts. - Identify expansion signals (e.g., usage patterns, feature interest) and pass qualified leads and insights to the account team for follow-up. - Collaborate with Sales and Customer Success to support renewals, expansions, and AI upsells, aligning your work to the broader account strategy. Cross-Functional Collaboration - Partner with account teams, Product, and Services to maintain alignment between delivery and success for your accounts. - Share customer feedback and insights to improve delivery and customer experience, focusing on clear problem statements and reproducible examples. - Collaborate with more senior TAMs and internal stakeholders on complex initiatives, contributing execution and customer context. CORE SKILLS & COMPETENCIES: Technical Acumen Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality, with a focus on applying documented solutions to customer use cases. Learns and adopts new features and patterns quickly.   AI Expertise Uses AI and Agents as a daily multiplier, not just an area of awareness. Comfortable with generative AI concepts, prompt design, and automation frameworks, and able to show examples of AI improving work quality, speed, or consistency in a customer-facing environment. Able to implement standard AI use cases and identify when to bring in senior partners for more complex or novel scenarios.   Consultative Discovery Strong at workflow analysis for core, well-understood processes. Uses structured discovery guides to identify friction points and map customer needs into ClickUp using existing best practices.   Project & Program Management Strong project and time management for your account load. Able to juggle multiple accounts and workstreams with regular check-ins and guidance from your manager or senior TAMs.   Data & Reporting Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. Interprets usage data to support clear, actionable recommendations within established frameworks.   Customer Engagement Executive presence and strong communication skills, with an emphasis on clarity, expectation setting, and follow-through. Builds trust with customer stakeholders by reliably executing agreed plans.   Account Ownership Accountable for day-to-day execution for your book of business: proactive in follow-through, organized, and focused on achieving measurable outcomes while escalating higher-risk or highly strategic decisions.   Collaboration & Influence Works cross-functionally with account teams, Product, and Sales to align on outcomes. Influences through clear data, customer stories, and consistent execution, while relying on senior leaders for major strategic decisions and escalations. AI-NATIVE CANDIDATE EXPECTATIONS: - Can demonstrate examples of using AI tools, prompts, automations, or agent-assisted workflows to improve personal productivity, customer delivery quality, or workflow outcomes. - Can speak concretely about where AI added value, where human judgment was still required, and how success was measured. - For this level, we are looking for evidence of strong applied AI fluency in execution — not necessarily novel model development or highly complex custom agent architecture. INTERVIEW SIGNAL: BE PREPARED TO WALK THROUGH HOW YOU USE AI IN YOUR WORK. OUR INTERVIEW PROCESS WILL ASSESS PRACTICAL AI CAPABILITY, INCLUDING HOW YOU APPLY AI TO WORKFLOW ANALYSIS, CUSTOMER EXECUTION, JUDGMENT, AGENTIC WORKFLOWS, AND MEASURABLE OUTCOMES. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: United States (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. We’re hiring a Senior Communications Officer, Media & Public Affairs to lead how GiveWell’s work is represented in the media and in public conversations. You will set our strategy, build trusted relationships with journalists and other influential voices, pursue opportunities that increase understanding of GiveWell’s work, and lead our external response in fast-moving situations. This role will lead a small and growing team. This is one of three new communications leadership roles, alongside a Senior Communications Officer, Strategic Communications and a Senior Communications Officer, Editorial & Production . About the role Both our research and impact are expanding . Last year, we directed more than $400 million to highly cost-effective programs that save and improve lives. This year, we expect our grantmaking to approach, and possibly exceed, $1 billion. To build toward the communications capacity this next stage requires, we are rapidly expanding our team. The three Senior Communications Officers will work together on many projects to support GiveWell’s communications needs, while working closely with other leaders across our organization. Each leader will own their function, but much of the work that matters most—like team strategies, major initiatives, partnership campaigns, and how we present the organization as a whole—will involve all three. We will expect this group to set shared priorities and work closely together to achieve the team’s goals. In this hands-on leadership position, you’ll own how and where GiveWell engages in media and public conversations, with end-to-end responsibility for this emerging function. You’ll set its strategy, hire and develop its people, build its systems, and personally own its hardest and most consequential work. This is an opportunity to build, not just inherit, an important function at a critical point in GiveWell’s development. You’ll start with a small team and grow it over time. While this role is set at the Senior Communications Officer level, we may consider hiring an exceptional candidate as a Communications Director—with greater expectations, responsibilities, and compensation. What You'll Do As Senior Communications Officer, Media & Public Affairs, you will combine long-term strategy and relationship-building with the ability to respond quickly and exercise sound judgment in sensitive or fast-moving situations. Specific duties will include: Set GiveWell’s strategy across media, thought-leader engagement, online communities, public forums and events, and other earned communications opportunities—including deciding where and when GiveWell should participate and overseeing those engagements. Build and maintain high-trust relationships with journalists, editors, podcast hosts, event organizers, thought leaders, subject-matter experts, and other influential external stakeholders. Identify, develop, and pitch substantive stories, event opportunities, and thought-leadership ideas that extend understanding of GiveWell’s work. Own inbound media engagement, including situations that require rapid responses, close coordination with subject-matter experts, and careful judgment about what GiveWell can responsibly say—and about which responses need escalation. Build and maintain GiveWell’s readiness for sensitive or fast-moving situations, monitor emerging issues in media and public conversations, and lead our external response when needed in partnership with others. Advise GiveWell’s leadership on external opportunities and relationships, and prepare senior leaders and subject-matter experts for interviews, speaking engagements, and other public appearances. Exercise sound judgment about when and how GiveWell should enter public conversations, including evaluating likely value, reputational considerations, and communications risks. Evaluate and help shape public-facing communications partnerships, advising on which opportunities GiveWell should pursue and how we should participate. Serve as a spokesperson for GiveWell in select media interviews, events, and other public forums, communicating our perspective clearly, accurately, and with sound judgment. Work with grantees and other partners on press releases and other media-facing communications involving GiveWell or our shared work. Manage and develop one or two team members initially, and build the relationships, systems, and additional capacity the function will need over time. About You You are skilled at using communications to help people understand complex ideas, build trust, and take action. You are comfortable being accountable for outcomes, making consequential decisions with limited oversight, and knowing which decisions genuinely require escalation. You are energized by intellectually demanding work, and the challenges of creating engaging communications within a careful and precise style. You can engage deeply with GiveWell’s research, and you are comfortable understanding and communicating about data in detail. You have a long track record of getting up to speed quickly on complex subject matter and carefully communicating to a very high standard. You can build a compelling narrative that is entirely factual, representing what is known and unknown without overstating or hedging into vagueness—and you find the idea of working with GiveWell’s exacting communications standards exciting rather than limiting. Your background includes significant experience leading communications in complex, high-stakes environments. This should include 10+ years of experience in media relations, thought leadership, and public engagement. You have deep experience owning that work end to end, not just contributing to it. You’ve remained a hands-on leader who enjoys the work itself, as well as the strategy and systems behind it. You know how journalists, influential voices, events, and other public forums shape how organizations and ideas are understood. You have a demonstrated ability to build meaningful external relationships, identify opportunities worth pursuing, personally represent an organization’s perspective, and navigate public-facing situations in which context is limited, timelines are short, and judgment matters. Much of this should be work you executed yourself, in addition to work you directed. Experience in settings where precision and credibility were at least as important as reach is a strong signal of fit. In addition to demonstrated expertise in the duties listed above, you should have: Exceptional communications judgment, including the ability to understand audience, context, risk, timing, and the underlying substance of a message. Excellent written and verbal communication skills and the ability to quickly make complex ideas clear and compelling without sacrificing rigor or nuance. A track record of building and leading: you have created or substantially rebuilt a team or function—not only run ones you inherited—and you have hired, developed, and managed people. Recent, hands-on excellence at your craft: you can point to work from the past few years that you personally produced or substantially shaped. Experience producing communications that are direct and factual while being engaging and effective with their target audiences—work that succeeds through substance and clarity rather than embellishment. Intellectual curiosity and the ability to engage deeply with GiveWell’s research and ideas, even without prior experience in our giving areas. Experience advising executives or other senior decision-makers directly. Strong alignment with GiveWell’s mission and values, including truth-seeking, transparency, and a commitment to communicating accurately and thoughtfully. We also think these qualities will help you do well in the role and at GiveWell: People who can develop a strong point of view and hold it with confidence, but remain genuinely open to challenge, new information, and better ideas. Self-starters who take ownership, are comfortable creating structure in an evolving environment, and can make thoughtful decisions without always having complete information. People who are proactive and anticipatory, who identify opportunities, risks, bottlenecks, and communications needs before they become obvious. Collaborative leaders who raise the quality of the work around them and build strong relationships across teams. People who coordinate well with peers, resolve dependencies and disagreements, and make shared work clearer rather than more complicated. Key Questions & Information What are some of the reasons I might not like this role? You want to step into a mature function with established systems, rather than build one while you run it. You do best with clear direction and established priorities. We’ll expect you to set most of your own, make most decisions yourself, and reach substantial autonomy within your first six months. You prefer advising on communications to producing and being accountable for them. You want sole ownership of an organization’s overarching communications strategy and brand. At GiveWell, the CEO and executive team owns that direction; you would help shape it and lead your function within it. You want to lead a large team from day one. This team is small today, and much of the most difficult work will be yours to do directly. You find standards of precision and understatement limiting and frustrating. We work extremely hard to only communicate accurately what we know and what we don’t. Can I apply to more than one of the Senior Communications Officer roles? You can, but most people shouldn’t. We’re looking for deep expertise in these areas, and we expect most candidates with required expertise will be a clear fit for a single role. If you’re one of the few with real depth in more than one area, apply to both and tell us why. Otherwise, apply for the role you are most qualified for, and we’ll let you know if we think another role might suit you better. What does this interview process entail? We’ll use a combination of interviews, written exercises, and work trials to assess the qualities described above. We’ll share more specific details if we invite you to move forward to any of the following stages, but our current plan will likely include the following: Application Interview with a member of the Talent Acquisition Team Compensated work trial with a set maximum number of hours Interview with GiveWell's Chief of Staff to the CEO Values interview CEO interview and References Note that you don’t need to submit a cover letter. We rely heavily on your resume and answers to the application questions below when we’re making early decisions. We encourage you to spend time responding to the application questions thoroughly and carefully. Details Team: You’ll report to our Head of Communications, and collaborate closely with the two other Senior Communications Officers. You will lead a small team that you’ll develop over time. Compensation: This role is set at the Senior Communications Officer level. For an exceptional candidate, we may consider hiring at the Communications Director level—with greater expectations, responsibilities, and compensation. NYC or the San Francisco Bay Area: $250,000 All other U.S. locations: $225,000 Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. Please note that office space is limited, and is not guaranteed. International work: We are happy to employ staff internationally on a case-by-case basis via our EOR. Note that there are some countries in which our EOR does not operate, which we cannot override, and we are unable to sponsor visas abroad. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Visa Sponsorship: We are not currently able to sponsor visas for this role. Benefits: A few highlights of our benefits offerings: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year plus an annual summer break 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 340,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s recent interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell's Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell's Work Trial Policy .

Location: Paris; Amsterdam; Linz; Munich; London; Berlin Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Mistral is looking for AI Scientists with deep ML expertise and hands-on engineering experience to expand what our agentic tools can do across the engineering lifecycle — CAE (CFD, FEA, etc.) and EDA/Semi. Working within the AI4Engineering Science team, your core work is building the pre and post-training data for Mistral's LLMs to reason about and execute real engineering tasks. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold, a rare position, and the core of the job. Alongside this, you'll help shape the agent architectures and harness that let these models operate reliably inside multi-step engineering workflows, not just answer isolated questions. You'll work closely with domain experts across CAE and EDA or other domains to ground this work in how engineers actually work, and with the broader research team to translate that domain grounding into training signal and evaluation benchmarks that measure genuine task competence. This is early-stage work, and that's the point: you'd be joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There's no inherited playbook, you'll help define what good looks like, and your work will set the direction the team builds on rather than extend an existing one. What you will do - Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA - Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for each engineering task, beyond surface-level plausibility - Design and improve agent architectures and harnesses: how models plan, call tools, recover from errors, and chain steps together across long-horizon engineering workflows - Build evaluation benchmarks and diagnostic tooling to identify where models fail on engineering tasks, and trace those failures back to gaps in data, reward design, or agent scaffolding - Collaborate with domain experts across CAE and EDA or other domains (and the science and solutions teams more broadly) to identify which engineering workflows are highest-value to target next - Contribute to Mistral's broader pre and post-training research, sharing findings and methodology across the science organization What we're looking for - Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to both engineering and non-technical audiences - Deep, hands-on machine learning expertise, particularly LLM development - Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA - You write clean, readable Python code and are comfortable in Linux/HPC environments - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of engineering and ML It would be great if you - Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks) - Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training - Have industrial or academic experience with CAE or EDA tools (e.g. SolidWorks, CATIA, Fluent, Abaqus, LS-DYNA, STAR-CCM+, Cadence/Synopsys/Siemens EDA tools) - Have contributed to a large open-source or industry codebase - Have publications in engineering and ML venues (NeurIPS, ICLR, JFM, AIAA, etc.) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We are hiring the first members of Render's Scaled Programs Customer Engineering team to help run the technical side of our scaled, digital-first customer motion. You'll support high-growth accounts without dedicated technical coverage, including our startup program cohort, through programmatic, one-to-many engagement rather than a traditional one-to-one model. The role has two halves: running scaled programs (in-app engagement, targeted outreach against expansion and churn signals, webinars) and contributing to the tools and content that power the broader Field Engineering organization (health triggers, growth and expansion opportunities based on product usage, pricing and sizing tools, POC templates, and enablement content). You'll partner closely with our Scaled Account Managers and report into Render's Field Engineering organization. WHAT YOU'LL DO - Partner with Scaled AMs and Field Engineering teammates to turn expansion and churn signals (bandwidth, egress, usage patterns) into plays: AM talking points, programmatic outreach, and in-app prompts. - Operate startup program onboarding: Intercom checklists, guided flows, and activation follow-up for high-growth AI startups. - Partner with Support Engineering to identify recurring mistakes and best practices, then turn those insights into programs and content that reduce customer friction. - Build and improve components of our scaled-engagement toolkit: in-app programs, outbound triggers, pricing and sizing calculators (e.g., Heroku and AWS RDS migrations to Postgres), POC templates, and reusable technical enablement. - Run scaled customer programs: webinars, Slack community touchpoints, and pattern-based outreach across account cohorts, partnered with Scaled AMs. - Translate recurring customer questions and technical best practices into timely in-product guidance and self-service content. - Maintain activity tracking and feature-request data hygiene so reliable customer signals flow to the rest of Field Engineering and Product. WHAT WE'RE LOOKING FOR - 3+ years in a customer-facing technical role: customer engineering, solutions engineering, technical support, or developer relations. - Comfort operating a high-volume, one-to-many motion; you can independently execute clearly scoped programs and build systems and content rather than relying on 1:1 time. - Strong fundamentals across cloud infrastructure: containers, deploys, autoscaling, networking, and CI/CD. - Working knowledge of Postgres and common database migration patterns (Heroku, AWS RDS). - AI fluency: you use AI tools daily in your own workflow, and you're comfortable advising customers building AI-native and LLM-powered applications. - Strong written communication; you'll be a primary producer of docs, playbooks, and in-app content. - Data-driven, able to prioritize work against team goals, and comfortable asking for context or support when ambiguity could affect the outcome. NICE-TO-HAVES - Experience with Intercom or a similar in-app engagement and messaging platform. - Experience building internal or customer-facing tools that scale a team's impact beyond 1:1 work. - Experience in a PLG or high-volume account environment. - Prior experience with Heroku or other cloud migrations. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin, we believe every business needs an AI Agent for their customers and an AI Agent for their team. For customer experience teams, AI Agents are moving far beyond customer communication, to doing the vast majority of complex customer operations work and moving beyond taking direction from the human team, to giving direction, coordinating and undertaking work under human supervision. We built and launched Operator this year - an internal Agent for customer operations. Operator deeply understands everything happening in a business's customer experience, finds the insights and areas for improvement, delivers recommendations, and makes the changes itself with permission. It’s a new category of Agent and is a hit with our customers. This highly strategic role owns the end to end PMM work for Operator, working across product, marketing, GTM and leadership. You'll build the narrative, the positioning, and the go-to-market that makes Operator the next wildly successful product from Fin. What will I be doing? Build the external narrative for Operator and bring it to market in a way that creates and shapes the category for the industry Shape and refine the ICP and audience for the Operator- who we're talking to, what their pains are, and what makes them choose us Own core messaging and drive cross-functional alignment on what we're saying, why, and how it shows up everywhere - from the website to the sales deck to the customer email Be deeply customer-obsessed - spend time with customers, study how they evaluate and adopt, and turn signal into clear insight that shapes what we say Lead launches and go-to-market moments, working cross-functionally to deliver crisp messaging that fits sales, campaigns, and content needs, delivering mindshare for Fin and pipeline for Build crisp, high-impact narratives and enablement that sales actually uses - including the discovery questions, objection handling, and competitive positioning and work closely with GTM teams to ensure messaging lands with the customers who need to hear it most Create high-quality core PMM assets yourself: web pages, first call decks, narratives, scripts, demos, and launch materials - and maintain the core 'brain' of PMM context that feeds our AI-first approach What we're looking for This role is for someone who is a hybrid: part strategist, part storyteller, part technologist. You move between customer insight, product detail, competitive analysis, and creative expression without friction. Above all, you can take something the market has no name for and make it obvious. You've done this before 5+ years in product marketing, ideally in B2B, with a track record of shaping how complex products are understood in market You've marketed something genuinely new - a product or capability with no clear comparison set - and built the narrative that gave buyers a way to think about it You've owned a product area end-to-end - from ICP and positioning through to launches and field enablement You're comfortable with technical depth: automation, workflows, analytics, agent behaviour, and the mechanics of how a product actually does the work Experience with usage-based or consumption pricing, or with selling operational change rather than a feature set, is a strong plus You've worked in fast-moving environments where the product ships faster than the messaging can keep up - and found a way to move at that pace without losing quality You think and write with precision Excellent written communication - you write crisp briefs, sharp narratives, and synthesis memos that drive alignment Strong editorial judgment - you know the difference between a sharp positioning statement and marketing language that means nothing You push back on vague claims and force specificity - in your own work and in others' You're product-obsessed and technically engaged You read the docs, use the product, and dig into the tech before you craft a single message You're genuinely curious about AI - not just as a talking point, but as something you think about, experiment with, and engage with constantly You use AI tools fluently in your own work and are always looking for new ways to move faster and think sharper You operate at the intersection of strategy and execution You don't hand off strategy and wait - you take it all the way to the asset, the launch, the field Strong judgment and the ability to work independently on large, high-stakes initiatives A systems thinker who builds messaging architectures and frameworks others can use, not just one-off assets You work well across functions, build trust quickly, and make the people around you more effective Attributes we're looking for Ambitious and competitive - you set a high bar, think big, and want to win. You'll go the extra mile and you're motivated by building something that leads the market. Confident and decisive - you back yourself, optimise for progress over consensus, and value momentum. You ask for forgiveness, not permission. Curious and intellectually engaged - you're always learning, experimenting, and asking why. You keep up with AI's pace and use it to improve how you work. Tasteful and creative - you understand what connects emotionally with people and draw on design, culture, and craft to create ideas that resonate. Impatient and change-oriented - you hate slow and work to fix the root cause. You thrive in ambiguity and love building something new. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Applied AI Research Engineer Applied AI Research Team, Applied AI About the role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge Travel occasionally to customer sites for workshops, implementation support, and research collaboration You may be a good fit if you have: 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed Strong technical aptitude with strong proficiency in at least one programming language Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems Experience designing evals, building prototypes, or developing technical enablement for complex products The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin, we believe AI agents and human support teams will work symbiotically as one team in one system, increasingly directed by AI, with humans elevated to higher-level roles and engaging directly with customers only in complex, high-stakes moments. So we built Fin to be natively integrated with the Intercom helpdesk, and are completely rethinking what a Helpdesk product should be when Agents do 90%+ resolution. We’re also building exciting new products and capabilities around how human teams collaborate with, are assisted by, and supervised by the AI agent so that they can deliver great customer experiences. This PMM role will lead PMM for our Intercom helpdesk, loved by over 30k customers, and lead on how to market new capabilities that help human support teams deliver great experiences, with help and guidance from AI Agents. You'll shape how we talk to the 25,000+ businesses already using Intercom, build the narrative for an AI-first helpdesk era, and establish Intercom as the obvious choice for teams who want their AI agent and their human support layer working as one You'll work directly with product, engineering, sales leadership, and the wider marketing team. This is a builder role for someone who wants to work fast, think from first principles, and help shape the future of PMM at Fin. What will I be doing? Shape the ICP and audience for the Intercom helpdesk and additional products for teams - who we're talking to, what their pains are, and what makes them choose us Own core messaging and drive cross-functional alignment on what we're saying, why, and how it shows up everywhere - from the website to the sales deck to the customer email Define and build the external narrative for the AI-first Helpdesk - what it means, why it matters, and why Fin is uniquely positioned to deliver it - and bring it to market in a way that reshapes how buyers think about the category Partner with Product, GTM and Lifecycle on how we communicate product investment and progress to existing customers - turning roadmap momentum into customer confidence that retains and expands accounts Build crisp, high-impact enablement that sales and customer success teams actually use to sell with confidence. Work closely with GTM teams to ensure messaging lands with the customers who need to hear it most Be deeply customer-obsessed - sit with customer support teams, study how they evaluate and adopt, and turn signal into clear insight that shapes what we say Lead launches and go-to-market moments for new products and capapbilties releases, working across the company to deliver impactful launch moments that drive mindshare and pipeline Create high-quality core PMM assets yourself: web pages, first call decks, narratives and scripts launch materials. And maintain the core ‘brain’ of PMM context that feeds our AI-first approach What we're looking for This role is for someone who is a hybrid: part strategist, part storyteller, part technologist. You move between customer insight, product detail, competitive analysis, and creative expression without friction. You've done this before 5+ years in product marketing, ideally in B2B with a track record of shaping how complex products are understood in market You've owned a core product area end-to-end - from ICP and positioning through to launches and field enablement You've worked in fast-moving environments where the product ships faster than the messaging can keep up - and found a way to move at that pace without losing quality Experience with customer retention or expansion motions is a strong plus You think and write with precision Excellent written communication - you write crisp briefs, sharp narratives, and synthesis memos that drive alignment Strong editorial judgment - you know the difference between a sharp positioning statement and marketing language that means nothing You push back on vague claims and force specificity - in your own work and in others' You're product-obsessed and technically engaged You read the docs, use the product, and dig into the tech before you craft a single message You're genuinely curious about AI - not just as a talking point, but as something you think about, experiment with, and engage with constantly You use AI tools fluently in your own work and are always looking for new ways to move faster and think sharper You operate at the intersection of strategy and execution You don't hand off strategy and wait - you take it all the way to the asset, the launch, the field Strong judgment and the ability to work independently on large, high-stakes initiatives A systems thinker who builds messaging architectures and frameworks others can use, not just one-off assets You work well across functions, build trust quickly, and make the people around you more effective Attributes we're looking for Ambitious and competitive - you set a high bar, think big, and want to win. You'll go the extra mile and you're motivated by building something that leads the market. Confident and decisive - you back yourself, optimise for progress over consensus, and value momentum. You ask for forgiveness, not permission. Curious and intellectually engaged - you're always learning, experimenting, and asking why. You keep up with AI's pace and use it to improve how you work. Tasteful and creative - you understand what connects emotionally with people and draw on design, culture, and craft to create ideas that resonate. Impatient and change-oriented - you hate slow and work to fix the root cause. You thrive in ambiguity and love building something new. Benefits We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Senior Product Designer, Content Design & Language Systems, you’ll lead ambiguous product problems where workflow, interaction, information architecture, and language need to work together. You’ll help make Docebo’s complex enterprise experiences clearer, more consistent, and easier to use for admins, creators, managers, and learners. This is not a traditional UX writing role or a localization-operations role. You’ll be a hands-on Product Designer who shapes product behaviour as well as product language. You’ll design complete workflows, build reusable terminology and content patterns, improve AI review and confidence experiences, and embed language guidance into our design system and delivery practices. You’ll shape problems before solutions are fixed, choose appropriate discovery and validation methods, and connect customer evidence, product data, business context, technical constraints, accessibility, and localization risk to clear product decisions. You’ll partner closely with Product Management, Engineering, UX Research, Elemental / Design System, Accessibility, Technical Writing / Localization, AI teams, and other Product Designers—building a shared quality capability without becoming a bottleneck or approval queue. THE DAY-TO-DAY 💻 - Frame Ambiguous Workflow and Language Problems: Turn incomplete or conflicting inputs into clear problem statements, hypotheses, decision questions, and an actionable path to learning. - Lead Discovery and Define Outcomes: Select appropriate research and validation methods; combine customer evidence, product analytics, business context, technical constraints, and localization insight to establish measurable success signals and visible trade-offs. - Design Complete Product Workflows: Lead interaction, information-architecture, and content decisions across roles, permissions, states, edge cases, accessibility, responsive behaviour, errors, confirmations, approvals, and recovery. - Build Docebo’s Product Language System: Establish terminology, product voice and tone, reusable microcopy patterns, audience guidance, and language principles that improve clarity across product areas. - Design Trustworthy AI Moments: Create patterns that help people understand what AI did, what informed it, what needs attention, and how to review, edit, regenerate, approve, reverse, or recover. - Embed Guidance into Product Systems: Partner with Elemental / Design System to create component-level guidance, default strings, usage examples, do-and-don’t guidance, and reusable quality checks. - Design for Localization Readiness: Own product-side standards for translation-ready writing, terminology reuse, variables and placeholders, language previews, and localization constraints while partnering with Technical Writing / Localization on operational workflows. - Prototype and Audit with AI-Assisted Methods: Use appropriate-fidelity prototypes and AI-assisted workflows to explore product behaviour, evaluate alternatives, audit language, and assess usability and technical feasibility before significant implementation investment. - Partner Through Shipped Quality: Work closely with Engineering on implementation strategy, design QA, product polish, and post-release iteration using customer feedback and product evidence. - Create Reusable Leverage: Turn repeated workflow and language needs into patterns, assets, documentation, terminology, prompts, or practices that improve more than one feature. - Mentor and Facilitate: Help designers and cross-functional partners build stronger product-language judgment through critique, decision reviews, workshops, concise documentation, and practical guidance. YOUR SUPERPOWERS 🦸‍♀️ - Your portfolio shows ownership of complex, ambiguous workflows or significant product-area work with visible customer and product impact—not only writing samples - You can explain how you triangulated qualitative research, quantitative evidence, business risk, localization considerations, and technical constraints - You demonstrate strong interaction, visual, information-architecture, content-design, accessibility, and product-language judgment across difficult states and edge cases - You have created or contributed to product-language systems, terminology frameworks, component guidance, content pattern libraries, or other reusable product standards - You show how prototypes, experiments, audits, or validation changed product direction before or after release - You can define meaningful outcomes, distinguish signal from activity, and explain what the team learned after launch - You have influenced Product and Engineering decisions early, managed disagreement constructively, and stayed accountable through implementation quality - You understand how product language must work across design systems and languages, including translation readiness, terminology reuse, variables, layout constraints, and inclusive communication - You use AI-assisted tools thoughtfully for research, synthesis, language exploration, prototyping, quality review, or implementation critique while retaining human judgment and accountability - You have helped other designers or cross-functional partners build stronger judgment through mentorship, critique, facilitation, and practical guidance BONUS POINTS 🌟 - Experience designing language and interaction patterns for AI-assisted, agentic, recommendation, conversational, generated-output, or automation workflows - Experience with localization tooling and practices such as Lokalise, terminology management, localization previews, translation-quality review, or localization-to-codebase workflows - Contributions to design systems, accessibility maturity, product-language systems, research practices, or reusable interaction patterns - Experience with enterprise learning, HR technology, content authoring, analytics, knowledge management, administration, or skills platforms - Practical experiments with tools such as Codex or similar systems—for AI-assisted audits, product-language linting, prompt packs, prototypes, plugins, scripts, or app-level language guidance—that show you learn by making OUR INTERVIEW PROCESS 🗺️ - Step 1: A 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and confirm that we’re aligned. - Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what interests you about the opportunity. - Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex workflow ownership, content and interaction decisions, reusable systems, evidence, craft, and measurable learning or impact. - Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. WHAT YOU’LL DO - Build account strategies using company context, growth signals, financial workflows, and stakeholder priorities. - Research and engage finance leaders through personalized phone, email, and multi-channel outreach. - Qualify prospects through consultative discovery, connecting workflow challenges to business impact. - Clearly explain how Ramp can help finance teams simplify spend management, reduce manual work, and gain visibility and control across financial operations. - Handle objections with sound judgment and earn the right to a next conversation. - Partner with Account Executives on account planning, sequencing, and opportunity creation. - Use AI and other tools thoughtfully to strengthen research, prioritization, personalization, and workflow efficiency; validate outputs before using them. - Maintain accurate prospect and activity data in Salesforce and use performance data to improve outreach quality. WHAT YOU’LL NEED - Proven SDR/BDR, closing, or equivalent quota-carrying experience, with measurable evidence of attainment or overachievement. - If transitioning from a non-sales background, a demonstrated record of exceptional performance in that field, supported by specific outcomes. - Experience prioritizing accounts, engaging senior or complex buyers, and tailoring outreach to customer context. - Strong written and verbal communication: concise, customer-focused, and specific. - Strong discovery and objection-handling fundamentals. - Commercial judgment: form a point of view, explain tradeoffs, and adapt based on new information. - A builder mindset: identify improvements, create repeatable systems, and learn from results. - Practical AI fluency and sound judgment using tools to improve quality and speed. - A data-driven approach to performance: diagnose results, seek feedback, and change behavior. - Interest in building a long-term sales career and taking on the scope of a Mid-Market SDR role. NICE TO HAVES - Experience selling into finance, accounting, operations, or technology teams. - Experience in B2B SaaS, fintech, or another high-growth environment. - Familiarity with Salesforce, sales engagement platforms, intent data, or account research tools. - Experience collaborating with Account Executives on account-based or multi-stakeholder selling. - Familiarity with finance workflows, expense management, accounts payable, procurement, or Enterprise Resource Planning Systems (ERPs) is a strong plus. - Prior CPA or Audit experience is a strong plus. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Pune Workplace: onsite About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ About the Role Spin.AI is looking for a Customer Support Specialist to help our customers get the most out of the SpinOne platform. You'll provide technical support by email and chat across the full breadth of what SpinOne protects: Google Workspace, Microsoft 365, Slack, Salesforce, and — following our acquisition of Revyz — Atlassian's Jira and Confluence. We're especially interested in candidates coming from a Jira Service Management or Jira administration background. You already know how to run a queue, write a clear KB article, and keep a frustrated user calm while you work the problem. This role gives you the chance to bring that instinct to a security and data protection product, and to broaden it across four more SaaS ecosystems that a huge number of businesses run on every day. You'll be one of the most direct lines our customers have to Spin.AI. Strong candidates are methodical troubleshooters, clear writers, and comfortable de-escalating a tense conversation without losing the thread of the actual technical issue. What You'll Do: Provide technical support to customers via email and chat Research, diagnose, troubleshoot, and identify solutions to resolve customer issues spanning Google Workspace, Microsoft 365, Slack, Salesforce, and Atlassian (Jira, Confluence) environments Follow standard procedures for escalating unresolved issues to the appropriate internal teams Provide prompt, accurate feedback to customers and set realistic expectations on resolution Ensure proper recording and closure of all issues in the ticketing system Prepare accurate and timely reports on ticket volume, resolution time, and recurring issues Document knowledge in the form of knowledge base tech notes and articles Participate in improving the product FAQ and knowledge base, particularly as Revyz/Atlassian coverage matures Work closely with the engineering team on unresolved or recurring issues, and help translate Jira/Atlassian-specific behavior for teams less familiar with that ecosystem What We're Looking For: Hands-on experience administering Jira and/or Jira Service Management — you understand permission schemes, workflows, automation rules, and how admins actually use the product day to day Experience with technical support, customer success, or a similar customer-facing role Comfort with knowledge base tools, ticketing systems, and basic escalation workflows Strong written communication skills — you can explain a technical concept clearly to a frustrated user without over-simplifying it Willingness to build working knowledge of Google Workspace, Microsoft 365, Slack, and Salesforce administration alongside your existing Atlassian expertise Skilled at de-escalation — you can keep a tense conversation productive and focused on resolution Certifications That Strengthen Your Application: You don't need to hold all — or any — of these to apply, but the following credentials map closely to the work and are a strong signal of fit: ACP-120: Atlassian Certified Jira Administrator for Cloud — the closest match to this role; covers Jira Cloud configuration, permissions, workflows, and automation ACP-620: Atlassian Certified Confluence Administrator for Cloud, or equivalent Confluence admin experience Atlassian Certified Organization Administrator (Cloud Organization Admin), for candidates who've worked at the org/Atlassian Access level Nice to Have: Prior exposure to SaaS backup, recovery, or data protection concepts Experience supporting more than one of Google Workspace, Microsoft 365, Slack, or Salesforce in addition to Atlassian Experience writing technical documentation or how-to content Benefits: PTO Paid Holidays Health Insurance Dental Insurance Vision Insurance Employee Wellness Program Great opportunity to work with amazing people Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.   EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.  View The EEO is the Law poster and its supplement.    Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.