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Location: Warsaw, Poland; Sofia, Bulgaria; Podgorica, Montenegro; Tbilisi, Georgia; Yerevan, Armenia; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ CloudLinux Inc. develops the Imunify family of security products , designed to protect hosting environments from a wide range of cyber threats. One of these solutions is Imunify Email , an email security product that protects hosting servers against spam, phishing, and other email-based threats. Imunify Email filters mail on about 5,000 hosting servers. Today the filter is rspamd with rules and a scoring model we train in-house. We are replacing it with a transformer we trained ourselves that runs on the customer's own CPU in under 100 MB and already beats rspamd at every operating point we measured. We are looking for a Senior Machine Learning Engineer to join our team and work alongside the engineer currently responsible for both the existing spam-filtering pipeline and the new ML model. Together, you will drive the development, improvement, and production rollout of our email security technology. What you will do: Train, evaluate, and release spam-detection models: build the corpus, pick the threshold, read the precision/recall report, decide ship or retrain. Build the production side of the new engine in Go: the inference service, the mail-filter integration, the tokenizer, the streaming message parser. Fix detection quality end to end, from a customer's "this phishing got through" to a rule, a corpus fix, or a retrain, with the false-positive cost weighed against the catch. Keep the corpus tooling and training infrastructure running. Review and approve classifier, rule, and model changes, so no release waits on one person. Answer partner engineers who ask why a message scored the way it did. Write specs, handbooks, and post-mortems. That is how this team transfers knowledge. Your first six months: Month 1: you ship a rule-model release on your own. Month 3: your first piece of the new engine is merged and running on staging. Month 6: a model release goes out while the principal engineer is away. Requirements What you bring: 5+ years of shipping detection or classification systems where false positives have a cost you had to defend: anti-spam, anti-phishing, anti-malware, fraud, abuse. You have taken at least one ML classifier to production yourself: corpus construction, threshold selection, error analysis. Hands-on transformer training in PyTorch: tokenizers, masked-language pre-training, fine-tuning, ONNX export, CPU inference measurement. Linux, shell, and Python on shared servers and a shared GPU. Daily usage of AI coding agents and tools. English at upper-Intermediate (B2) level or higher , with particularly strong written communication skills for technical documentation, specifications, and code reviews. Your specs and merge-request descriptions count as much as your code. It is a strong plus if you have: Email internals: SMTP, MIME, transfer encodings, SPF / DKIM / DMARC, how Exim, Postfix, and Dovecot handle mail to a filter. Experience in creating embedded models Go or Rust for systems code: parsers, streaming, memory budgets, concurrency. rspamd or SpamAssassin internals: rules, composites, Lua plugins, mass-check scoring. Multi-million-sample corpora, labelling pipelines, annotator tooling. Small models for constrained hardware: quantization, distillation, latency budgets. LLM-based labelers or validators for scaling annotation. Hosting panels: cPanel, Plesk, DirectAdmin. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Warsaw, Poland; Prague, Czechia; Sofia, Bulgaria; Bucharest, Romania; Madrid, Spain; Tbilisi, Georgia CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com Imunify360 Security Suite is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention. We are looking for a Lead Security Engineer - Vulnerability Response to join our Web Protection Team. The challenge ahead When a critical vulnerability in a popular web application or WordPress plugin goes public, attackers start exploiting it within hours. Most site owners can't patch that fast. We want our customers protected before the first attack reaches them, and we want them to know it. That's the challenge we're hiring for: AI-driven vulnerability response. Build and run a pipeline that detects new high and critical vulnerabilities, generates WAF rules with AI assistance, validates them, and ships them to production in a short window. Protection plus public announcement, both automated. The same pipeline that ships the rule also produces the public advisory. Every critical vulnerability we cover is announced soon after the rule ships, so customers and the market see that Imunify closed it first. Build on what works. An AI-assisted pipeline already runs for our WordPress protection plugin. The first big project is to extend this approach to ModSecurity/Coraza WAF rules. Speed without breaking sites. On shared hosting, a rule that blocks legitimate traffic is a customer incident. Fast and precise both matter. Make it measurable. Time-to-protection, coverage of critical vulnerabilities, and false-positive rate are the numbers this role owns. About the role You will own the vulnerability response pipeline end to end and be its main builder. You combine deep web application security expertise with strong automation skills, and you think about the product: what customers need, what to measure, what to build next. You'll lead a small team of security analysts and work closely with automation, QA, and marketing. What you'll do Design and build the AI-driven pipeline from disclosure to announcement: vulnerability intake, triage, rule drafting, testing, release, and the public advisory. Lead the extension of our existing WordPress-plugin pipeline to ModSecurity/Coraza rules. Write and review WAF rules (ModSecurity/SecLang) for real-world web vulnerabilities. Build test harnesses that check rules against exploits and real traffic before release. Lead and mentor security analysts: set priorities, review their work, remove blockers. Define and track time-to-protection, coverage, and false-positive rate, and improve them. Automate advisory generation as part of the pipeline, and agree the format and review flow with marketing. Requirements What we're looking for: 5+ years in web/application security: vulnerability research, detection engineering, WAF engineering, or similar. Deep understanding of web attack classes (SQLi, XSS, RCE, auth bypass, path traversal, file upload, deserialization) and how to detect them in HTTP traffic. Hands-on experience writing WAF rules (ModSecurity/SecLang, OWASP CRS, or similar) and regular expressions. Able to read PHP code and understand a vulnerability from an advisory or a patch diff. Strong Python: you've built automation pipelines that run in production. CI/CD and automated testing. Hands-on daily use of AI/LLM tools; you know where to trust them and how to verify their output. Proven track record of leading a technical project end to end. Product mindset: you reason about customer impact, not only technical correctness. Upper-intermediate English or better. Nice to have: WordPress ecosystem security: plugin vulnerabilities, vulnerability feeds (Wordfence, Patchstack, WPScan), CVE credits or bug bounty. Coraza or other WAF engines. Exploit analysis or threat intelligence background. Linux server administration, hosting industry. Personal skills: Strong ownership: you take a goal, not a task list. See the whole process and find the bottleneck, not only fix individual issues. Communicate clearly and raise risks early. Calm under pressure: critical vulnerabilities don't wait for working hours. Comfortable making decisions with incomplete information. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: United Kingdom About Flosum Flosum is a leading Salesforce-native DevOps platform that enables enterprises to manage and accelerate their Salesforce development lifecycle with security, compliance, and efficiency at scale. Built entirely on Salesforce, Flosum empowers teams to streamline releases, improve governance, and drive faster innovation. Role Overview We're looking for a driven, relationship-first Account Manager to own and grow a portfolio of enterprise accounts. You'll be the primary point of contact for a set of high-value customers — responsible for renewal, expansion, and long-term success. You'll partner closely with Sales, Customer Success, and Product to ensure our customers see measurable impact from our platform and grow with us over time. Requirements Own a portfolio of accounts, managing the post-sale lifecycle including QBRs, renewals, and expansions. Build and maintain multi-threaded relationships across economic buyers, executives, and champions within each account. Proactively identify upsell and cross-sell opportunities and drive net revenue retention above 120%. Partner with Customer Success Managers to ensure product adoption, time-to-value, and health scores are on track and gross revenue retention above 93%. Lead executive business reviews and translate platform data into business-relevant insights for C-suite stakeholders. Forecast renewal and expansion revenue accurately in Salesforce on a monthly and quarterly basis. Serve as the voice of the customer internally — surfacing product feedback, risks, and opportunities to Product and Leadership. Navigate complex contract negotiations and procurement cycles with legal and finance stakeholders. Required Qualifications 6+ years in Account Management, Sales, or a quota-carrying role in B2B SaaS Demonstrated track record of meeting or exceeding GRR, NRR, upsell, and renewal targets on enterprise accounts ($100K+ ACV). Strong executive presence — comfortable engaging VP and C-level stakeholders in strategic conversations. Experience managing complex, multi-stakeholder accounts with long sales cycles. Excellent written and verbal communication skills; ability to build trusted advisor relationships. Strong commercial acumen — able to construct ROI narratives and business cases for expansion. Experience working with SaaS platforms, preferably in the Salesforce ecosystem Strong understanding of Salesforce (Admin, DevOps, or development lifecycle concepts preferred) Preferred Qualifications Experience with Salesforce DevOps tools or release management processes Familiarity with CI/CD, version control, or agile development practices Background working with enterprise customers Salesforce certifications (Admin, Platform App Builder, etc.)

Location: Armenia; Georgia; Poland; Estonia; Azerbaijan; Romania Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior PHP Engineer to join our dynamic team. The client is a leading company specializing in advanced cybersecurity solutions. They provide comprehensive security measures designed to protect sensitive data and systems from cyber threats. Their offerings include vulnerability management, threat intelligence, incident response, and compliance management. With cutting-edge technology and a team of experts, they ensure robust protection for organizations across various industries, helping clients stay ahead of evolving cyber threats and maintain a secure digital environment. Responsibilities Take end-to-end ownership of QA for a new .NET-based product as the sole QA engineer. Define and implement the testing strategy, test plans, quality standards, and release readiness criteria. Select appropriate automation tools and build a maintainable test automation framework from scratch. Design, implement, and maintain automated tests covering critical functionality, integrations, and end-to-end workflows. Perform manual and exploratory testing to validate new features and identify issues beyond automated coverage. Integrate automated tests into CI/CD pipelines and ensure reliable, actionable test results. Collaborate with developers and product stakeholders to clarify requirements, identify edge cases, and improve testability early in development. Investigate defects, document reproducible findings, and verify fixes. Drive release quality by assessing test coverage, communicating risks, and providing clear release readiness recommendations. Requirements Proven experience in a Senior QA or QA Automation role, with the ability to independently own the full QA lifecycle. Experience establishing QA processes and building test automation frameworks from scratch. Strong hands-on programming skills in at least one language used for test automation; no specific language is required. Solid understanding of test design techniques, risk-based testing, and selecting appropriate levels of test coverage. Experience testing APIs, backend services, and integrations. Ability to combine automated, manual, and exploratory testing effectively. Experience integrating automated testing into CI/CD pipelines and working with Git. Strong troubleshooting skills, including working with logs, test data, and databases. Ability to select tools pragmatically, prioritize testing activities, and work independently in a new project with evolving requirements. Clear communication skills and the ability to explain quality risks to technical and non-technical stakeholders. Nice to Have Experience testing .NET-based applications or programming in C#. Previous experience as the sole QA engineer on a product. Experience with performance, load, or security testing. Experience with containerized test environments and Docker.

Location: Poland; Armenia; Azerbaijan; Georgia; Serbia; Estonia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Python Team Lead to join our dynamic team on a full-time basis. About the Client Our client is an international provider of intellectual property services and technology solutions, helping businesses protect and manage innovations through patent translation, international filing, patent research, and renewal services. About the Project The project focuses on replacing complex, labour-intensive backend business processes with Python-based automation and LLM-powered solutions. You will join as the first engineer and Team Lead of a growing contractor team, establishing the technical foundations and helping shape how the team works and delivers. You will collaborate closely with an AI & Automation Product Manager with experience at Meta, turning business challenges into practical solutions. This is a hands-on leadership role requiring strong Python expertise, excellent communication skills, and the confidence to take ownership of problems from discovery through production. Responsibilities Lead the technical delivery of automation initiatives, taking responsibility for solution quality and delivery outcomes. Work closely with the Product Manager and business stakeholders to understand existing workflows, clarify requirements, and define priorities. Translate complex business problems into actionable technical plans and clearly scoped tasks. Design and develop Python services, automated workflows, and integrations with existing systems and APIs. Apply LLM capabilities where they provide measurable value, with appropriate validation and human review. Establish engineering standards, development practices, and a collaborative team culture. Guide and mentor engineers, delegate responsibilities, and provide constructive feedback and code reviews as the team grows. Proactively identify risks, resolve blockers, and communicate progress and trade-offs clearly. Lead technical discussions, handle disagreements constructively, and help stakeholders reach informed decisions. Ensure solutions include appropriate testing, monitoring, error handling, and production support. Requirements Strong commercial experience building and maintaining production systems with Python. Proven experience leading an engineering team while remaining actively involved in technical design and development. Excellent interpersonal and communication skills, including active listening, constructive feedback, and effective conflict resolution. Strong ownership: the ability to independently drive problems from initial investigation to a working production solution. Experience collaborating directly with Product Managers and business stakeholders, translating business goals into technical delivery. Ability to organise team workloads, delegate effectively, support engineers, and maintain accountability for commitments. Experience delivering backend automation, system integrations, or solutions that replace manual business processes. Practical experience integrating LLMs into applications or automated workflows. Strong backend engineering fundamentals, including APIs, databases, data processing, and reliable error handling. Experience with automated testing, Git, and production deployment practices. Ability to work effectively with evolving requirements, make pragmatic decisions, and explain technical trade-offs. Strong spoken and written English, sufficient to lead discussions, clarify complex requirements, and confidently challenge assumptions. Nice to Have Experience building a new engineering team or establishing delivery processes from scratch. Experience interviewing and onboarding engineers. Experience with document processing, information extraction, or document-heavy workflows. Experience evaluating LLM outputs for accuracy, reliability, latency, and cost. Experience with workflow orchestration, background jobs, and asynchronous processing.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: What if the busy work just got out of the way? Behind every great employee experience is a quiet system: the onboarding that feels effortless, the leave handled with care, the paycheck that's right the first time. It's craft most people never see, and we think it deserves the same care we put into the product. We want People Ops that feels like a great mechanical watch: you never think about it, and it's never wrong. Imagine the first day at a company where every laptop, login, and handshake worked on the first try. That's the bar. We're looking for a Head of People Operations to lead that work. You'll shape the strategy across People Operations and Total Rewards operations, making everyday work simpler, more reliable, and increasingly agent-enabled. This is a player-coach role. You'll develop the team, set direction, and stay hands-on, especially as you learn Notion. You'll combine operational craft with thoughtful automation, keeping care and human judgment at the center of every sensitive decision. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Be customer zero for AI-enabled operations. Prototype and scale agents on real workflows, with trusted data, the right access, and human review built in. (Yes, we run our own People Ops on Notion. Yes, it's a little meta.) - Build the experience behind the experience. Every hire, change, leave, and farewell runs through the systems you design. - Lead a team that wears many hats. You'll coach, set the roadmap, and still get your hands dirty. No boredom guaranteed. - Join at a moment of growth. Notion is scaling, and there's a real green field to build something simple and lasting. - Work across the whole company. Partner with People, Finance, Payroll, Legal, IT, and BizTech to make handoffs smooth and change stick. - Put agents to work, thoughtfully. Test and scale useful workflows with validation and human review. (Automate the busy work, never the judgment.) - Lead the team and set the roadmap. Clear ownership, clear priorities, and room for people to grow. - Build reliable lifecycle workflows. Onboarding, employee changes, leaves, and offboarding, with clear intake, service standards, and escalation paths. - Run Total Rewards operations. Own routine compensation and benefits operations, from cycle readiness and data changes to Payroll handoffs, with accuracy and good judgment on exceptions. - Measure what matters. Use service, quality, and adoption data to keep improving, with data integrity and audit readiness built in. - Make change stick. Align partners across the company and drive adoption. SKILLS YOU'LL NEED TO BRING: - You've led a People Operations team in a shared services model and built scalable processes in a growing company, while staying hands-on. - You've built People programs and operational processes from the ground up. - You know compensation administration and benefits well, with sound judgment on approvals and exceptions. - You design great systems and processes across HRIS, case management, and lifecycle workflows. (Workday and global experience are a plus.) - You've used AI and automation to improve real work, with privacy, quality, and oversight in mind. - You communicate clearly, hold strong beliefs loosely, and lead people through change with kindness and directness. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $270,000 - $310,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.   WHAT YOU'LL DO - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. WHAT WE'RE LOOKING FOR - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. BONUS - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. WHY THIS ROLE - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.

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 How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less. We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations. This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows. This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished. Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships. This role reports to the Head of Design. THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY: Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same. Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality. Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers. The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary. WHAT YOU'LL DO - Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first. - Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to. - Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers. - Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation. - Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default. - Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles. - Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools. - Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it. - Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it. WHAT WE'RE LOOKING FOR - A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area. - Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire. - Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed. - Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs. - Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why. - Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with. NICE-TO-HAVES - Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage. - Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output. - Experience building developer or designer tools that became part of other teams' daily workflow. - Experience leading a major design-system migration or a company-wide change in how teams build. - Experience evolving a system across platforms, or connecting product and brand experiences. - Founder or early-stage startup experience. 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: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution. What you’ll do Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action. Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear. Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed. Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take. Skills we’re looking for 8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership. A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency. Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions. Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results. Ability to independently structure ambiguous problems and balance speed with analytical rigor. Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution. Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics. Working knowledge of Salesforce and marketing automation platforms such as Marketo. Clear executive communication, with the ability to connect detailed analysis to business decisions. Bonus Skills Experience navigating a merger, organizational integration, or significant GTM transformation. Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis. Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker. Background in data infrastructure, developer tools, or analytics software. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $179,670 — $224,587 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: US: San Mateo (1875 South Grant Street); US: Oregon Remote Worker; AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St); US: Washington Remote Worker Workplace: Hybrid ABOUT XERO At Xero, we’re here to supercharge small businesses. By making small businesses more efficient every day, connecting them with big business technology, and empowering a community behind them, their potential is limitless.   ABOUT THE ROLE Xero is looking for a GM/VP of Growth Content to lead the next chapter of our global growth content function. We have redefined how growth content is delivered at Xero from the ground up. Our growth content team uses an AI-powered approach to deliver high performing and always on-brand content at scale. We are looking for an individual who will lead a global team (including design, creative optimization and content automation) tasked with turning data-driven insights into a high-velocity, compounding content engine with automation at its core. This leader will develop and own our global content strategy across the funnel, they will champion a strict "test-and-learn" creative framework across all global growth channels, deeply analyzing audience signals and performance metrics to architect native content experiences that drive growth across paid advertising, lifecycle marketing, web, and sales assets. The successful candidate will oversee the deployment of tailored, native content across all core channels—from high-impact visual hooks for paid ads to search-optimized web assets and high-converting lifecycle and sales collateral. This leader will need to constantly strike the right balance between delivering high performing content at scale and maintaining and elevating our brand consistency, in partnership with our internal agency ‘the foundry’. This role requires someone who can operate at multiple altitudes. You need to be able to set direction at enterprise scale, work effectively in a complex global matrix, influence without always being the final decision-maker, and go deep into the executional details when the work demands it.   WHAT YOU’LL DO UNITE, DESIGN & BUILD THE CONTENT OPERATING MODEL FOR AN AI-NATIVE FUTURE - Deliver the end-to-end content system, from inputs and briefs through creation, review, distribution, reuse, and performance optimization to unite siloed work streams. - Build an AI-native operating model that improves speed, quality and scalability, not just efficiency on the current workflow. This will include the automation of atomization of flagship content across channels/funnel/audiences to scale distribution and expand impact. - Simplify decision-making and review flows so the right people are involved at the right moments, with less drag and more accountability to exponentially improve output speed while raising the bar on content quality. - Create repeatable ways to turn strategic inputs such as claims, positioning, customer insight, proprietary data, product truth, and channel learnings into effective content outputs. - Maintain total brand consistency across all content touchpoints, aligned with our core principles and ambitions. - Be hands on tools to lead the evolution and expansion of our content system, training the team and cross-functional partners on how to use most effectively. RAISE THE BAR ON BUSINESS IMPACT AND MEASUREMENT - Build a measurement approach that connects content performance to real business outcomes, not just activity or engagement metrics. - Partner with analytics, product, performance marketing, regional marketing, and customer teams to understand what content is actually driving impact. - Use data to shape investment decisions, optimization, channel mix, and content priorities. - Create visibility for senior leaders into what is working, what is not, and where we should change course & how to get there. - Build a culture that seeks the truth on content effectiveness and continuously improves from it. IMPROVE CONTENT QUALITY, JUDGMENT, AND CHANNEL FIT - Raise the standard of what great content and processes looks like at Xero and create calibration mechanisms so teams apply that standard consistently. - Improve how we match message, format, and depth to audience need and channel context. - Partner closely with Product Marketing, Communications, Performance Marketing, SEO, regional teams, and Sales Enablement to create more effective content across the funnel. LEAD THE ORGANIZATION AND BUILD CAPABILITY - Lead, coach, and develop a global content organization spanning multiple disciplines, markets, and seniority levels. - Raise the bar on capability, performance, and leadership across the team and ensure the structure supports the organizational needs and is built for the future. - Build a team culture that values clarity, quality, learning, strong judgment, and accountability for outcomes. - Know when to stay at the strategic level and when to get into the details to unblock, improve, or accelerate the work. OPERATE EFFECTIVELY IN A COMPLEX GLOBAL MATRIX - Build strong partnerships across global, regional, and functional teams to scale impact through influence. - Work effectively in an environment where ownership is shared, decisions are distributed, and progress depends on alignment as much as authority. - Balance global consistency with regional relevance, especially in markets with different levels of maturity, capability, and need. - Help cross-functional teams make better content decisions by bringing clarity, structure, and strong point of view. SUCCESS IN THE ROLE LOOKS LIKE - The content operating model has been materially redesigned for an AI-native future, with simpler workflows, stronger systems, and better use of human judgment. - Content is on brand and inline with our brand principles and guidelines. - There is an effective and continuous “test and learn” system and culture. - Content performance is measured in a rigorous way, with strong links to business outcomes, adoption, utilization, and expansion. - The quality bar is visibly higher, and teams have clearer standards for what good looks like. - The team is stronger, with sharper talent, clearer roles, and a structure better suited to where the business is going. WHAT YOU’LL BRING CORE REQUIREMENTS - SaaS & Fintech Expertise: Deep leadership experience in SaaS, fintech, or complex B2B/B2B2C subscription ecosystem environments. - Operating Model Transformation: Proven track record of redesigning operating models, not just optimizing existing workflows. - AI Operational Integration: Demonstrated success using AI to rethink content systems, workflows, governance, and production economics at scale. - Cross-Functional Alignment: Strong partnership experience with Product Marketing, Communications, Performance Marketing, SEO, and Sales Enablement. - Business Impact & Measurement: Strong evidence of driving measurable business impact through content across multiple stages of the funnel and customer lifecycle. - Global Matrix Leadership: Experience working in a large global matrix, with the ability to influence across teams and functions without relying on formal authority alone. - Strategic & Operational Agility: Ability to move between strategy and execution, including comfort getting into the operational details when needed. - People Leadership: Experience leading and upgrading teams through change, including talent assessment, coaching, organizational design, and raising standards. - Navigating Ambiguity: High comfort with ambiguity, complexity, and building structure where it does not yet exist. NICE TO HAVE - Experience serving small business and partner audiences such as accountants, bookkeepers, or channel ecosystems. - Experience building growth content systems that use proprietary data, customer insight, and research as differentiated inputs. - Strong judgment on channel strategy, editorial and design quality, audience needs, and content effectiveness. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - California and Washington: $229,300 to $315,300 USD - Oregon: $208,800 to $287,800 USD - Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution. What you’ll do Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action. Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear. Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed. Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take. Skills we’re looking for 8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership. A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency. Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions. Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results. Ability to independently structure ambiguous problems and balance speed with analytical rigor. Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution. Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics. Working knowledge of Salesforce and marketing automation platforms such as Marketo. Clear executive communication, with the ability to connect detailed analysis to business decisions. Bonus Skills Experience navigating a merger, organizational integration, or significant GTM transformation. Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis. Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker. Background in data infrastructure, developer tools, or analytics software. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $173,573.50 — $216,966.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - US About the Job: LaunchDarkly is the runtime control plane for the AI software development lifecycle (AI-SDLC). Thousands of engineering organizations, including more than a quarter of the Fortune 500, use LaunchDarkly to ship, measure, and control every change that reaches production, whether it is written by people or by AI. Feature management built the company. The next chapter is bigger: as the cost of writing code falls and the volume of change outpaces human review, the constraint is moving from writing software to controlling it. LaunchDarkly is building the critical infrastructure for the AI-SDLC. Customers build their own software factories. We build the rails they run on. We are hiring the leader of Product Management for LaunchDarkly. Reporting to the Chief Product Officer, you will own the product management organization end to end: the people, operating system, roadmap commitments, and commercial outcomes across every product pillar. You will sit at the technology leadership table as the Product Management peer to the heads of Engineering and Product Design. The CPO sets the company’s product vision and strategic direction. You will build and run the product organization that turns that direction into a coherent portfolio, shipped outcomes, customer adoption, and revenue growth. This is a hands-on operating role for a product leader who knows how to build the machine, make the tradeoffs, and finish the work. Responsibilities: Lead cross-functional product leadership. Serve as the product counterpart to Engineering, Product Design, Marketing, Sales, Customer Success, and Finance. Resolve cross-functional tradeoffs, establish shared commitments, and ensure LaunchDarkly presents one coherent product strategy to customers and the market. Build and lead the product management organization. Design the organization intentionally, allocate resources effectively, maintain a high talent bar, build succession plans, and establish clear ownership for every product surface a customer or sales representative may ask about. Own the product operating system. Establish the cadence that turns strategy into shipped software and met goals, including quarterly commitments, leadership reviews, squad-level inspection, launch briefs, new product introduction (NPI), and the product-to-field handoff. Make execution predictable enough that the executive team does not have to ask whether something shipped. Drive roadmap delivery across every product pillar. Lead execution across Enterprise, Foundation, Observability, Experimentation, Agent Control, Automation, and the platform beneath them. Build a culture of doing what we say we are going to do. Create portfolio discipline without slowing the company down. Ensure new bets enter the portfolio through explicit decisions rather than hallway conversations, while preserving the flexibility to respond to market changes. Marketing dates should be commitments the product organization can confidently support. Drive finishing. A product is not done when version one ships; it is done when the team has iterated based on learning. A launch is not done when it ships; it is done when the field is amplifying it. A process is not done when it is written; it is done when it creates leverage for the team. Own packaging execution and commercial outcomes. Lead how pricing and packaging land in the product and in the field so every representative can sell the full platform and every pillar contributes to its commercial goals. Stay close to customers and the field. Spend time with the largest customers and most demanding evaluators, translate what you learn into product decisions, and build a process that brings customer and field insight into the roadmap at scale. Use AI to increase product and engineering leverage. Help the organization adopt AI-assisted development and product practices in ways that increase delivery speed while maintaining quality and judgment. What Success Looks Like in Your First Year: The organization is complete. The leadership model is in place, product lines have the right pillar leadership, spans and layers are intentional, decision rights are clear, succession risks are understood, and the organization can continue to scale. Delivery increases every quarter. Shipped output per team rises quarter over quarter as AI-assisted development compounds, with quality holding. The operating system runs without the CPO driving it. Reviews, check-ins, launch briefs, and NPI happen on cadence and at a consistent bar. The portfolio is staffed. Every initiative in flight has an explicit staffing decision and plan behind it. The numbers move. Activation, attach, activity, and expansion targets for each pillar respond to the organization’s inputs. The team is stronger than you found it. Product managers have more leverage, complementary strengths are valued over a uniform mold, and every hire raises the bar. About You: You are direct, decisive, and high-agency. You identify a problem, propose a fix, and act unless someone tells you not to. You are a relentless simplifier, not a caretaker. When you find friction, your instinct is to remove process rather than add it. You know how to run a company of this size like a small company that ships. You are a builder of people and move quickly on people problems. Product leaders who have worked for you say you made them better and would work for you again. You raise the bar clearly, promote based on evidence, and do not allow known performance problems to persist. You are comfortable challenging a strategy and turning it into a sequenced portfolio. You can tell the story of an idea you pushed back on, how you used evidence to make the call, and how you maintained the relationship. You write clearly and make decisions. You use written argument to create alignment, expect strong writing from your team, and end meetings with a decision. You are customer-oriented and commercially grounded. You can move from a conversation with a developer or data scientist to a discussion with an executive buyer or sales leader without losing the thread. Qualifications: Minimum of  15+ years of experience in Product Management, including 7+ years leading Product Managers and product leaders across a multi-product B2B platform . Experience leading Product Management at the VP, SVP, or equivalent level across a multi-product B2B platform. Experience leading a product management organization of 20 or more product managers at a company with approximately $100M to $500M in revenue. A track record of building and developing a product organization, rather than simply inheriting one. Demonstrated ability to turn company strategy into a reliable operating system that delivers roadmap commitments and measurable business outcomes. Experience working with a founder or visionary executive and converting a high volume of ideas into a sequenced, resourced portfolio. Experience building products for engineering organizations and selling to CTOs, platform leaders, and data science teams. Strong commercial fluency, including experience owning or materially influencing pricing, packaging, attach, expansion, and go-to-market execution. Experience balancing enterprise and self-serve motions, including an understanding of what drives a large enterprise expansion and what creates value for a developer on a free plan. Practical experience using AI agents in your own work and applying AI-native approaches to product management or software development. You should have clear opinions about how AI changes product management, supported by things you have shipped. Demonstrated ability to lead through ambiguity, make decisions with incomplete information, and improve delivery speed without compromising product quality. Pay: Target pay ranges based on Geographic Zones* for Level E1: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $424,000 - $583,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $381,600 - $524,700 * Zone 3: All other US locations - $360,400 - $495,550 * All Zones Inclusive of 25% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team Over 30,000 Canadian businesses already trust Wealthsimple Business to spend, invest, and help their employees save, all in one place. But most Canadian SMBs still don't know we offer business banking at all. Our team owns the growth engine that closes that gap: getting Wealthsimple Business in front of the millions of small businesses in Canada who haven't heard of it yet, and building the pipeline that lets us compete directly for a market that isn't ours yet. We work closely with the broader Marketing org but stay focused on this segment specifically. This isn't general brand awareness — it's demand for a product category most SMBs haven't considered us for.     ABOUT THE ROLE You'll own net-new customer acquisition for the SMB segment: running the paid and experimental channels that create demand where none currently exists. This is a build-from-scratch role in a real sense. The acquisition engine for this segment doesn't exist yet, so you'll be defining it, testing what moves the needle, and scaling what works, rather than optimizing something already in motion.     WHAT YOU'LL DO - Own SMB-specific acquisition: explore and test across channel types, paid media, partnerships, content, community, and anything else that could move the needle. No one's handing you a channel mix. Figuring that out is the job - Run the team's growth experimentation cadence: CAC/LTV analysis and funnel experiments that turn into repeatable, scalable campaigns, not one-off tests, measured through to pipeline handed to Sales - Test positioning and messaging that gets this segment to notice us for the first time - Own growth-motivated webinars and other programs aimed at reaching new audiences, not nurturing ones we already have - Partner with the Demand Gen Specialist so acquisition experiments feed nurture, and nurture insights inform where acquisition effort goes next - Embed AI into your day-to-day, creative and copy iteration, audience research, campaign experimentation, to move faster and test more     WHAT YOU BRING - 4–6+ years in growth or performance marketing, with a track record of generating demand and measuring it through to downstream pipeline value - Experience building and running growth experiments: channel tests, funnel optimization, CAC/LTV analysis. You don't just execute a media plan someone else designed - Comfort operating in a segment or product with limited brand awareness. You understand how messaging, channel mix, and creative have to work differently when you're introducing a category to someone who doesn't know it exists yet, not comparing features for someone who already does - Experience running net-new-audience programs (webinars, partnerships, co-marketing) aimed at reaching new audiences, not nurturing existing ones - An analytical mindset: you use data to diagnose funnel problems, prioritize opportunities, and recommend what to do next, not just report on results - Clear written communication: able to translate test results and positioning ideas into something a cross-functional team can act on - A demonstrated habit of using AI to accelerate your work: building lead enrichment workflows, generating and testing creative at scale, or surfacing insights from data faster. You treat AI as a core part of how you work     NICE TO HAVE - Experience running go-to-market for a product or benefit launch across paid, lifecycle, and product surfaces. - Experience in consumer fintech, investing, brokerage, trading, or crypto platforms. - Experience marketing specifically to small and medium-sized businesses, understanding how SMB buyers discover, evaluate, and choose financial products     WHO YOU ARE - You're motivated by ambiguity and building from scratch, not maintaining an existing channel - You think like an owner. You don't wait to be told which experiment to run next - You're comfortable being judged on outcomes you can't fully control yet, because the category itself is new - You partner well. You know acquisition and nurture only work if the handoff between them is good - You're competitive in a healthy way. "Let's go win this" is a mindset, not just a talking point - You're as comfortable in the numbers as you are in the creative. This role needs both WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team: At Wealthsimple, we aren't just managing portfolios; we're rewriting the rules of how Canadians interact with credit. The Credit Analytics team own’s Wealthsimple's lending ecosystem, operating at the intersection of high-growth tech and data-driven underwriting. We believe that being “credit-worthy” should mean more than just a traditional score. Our mission is to challenge the status quo, building inclusive products that empower millions of Canadians and the businesses they run to lead better financial lives. We’re growing fast, moving from small data to massive scale through iteration and experimentation. We are extending our consumer credit expertise into business lending built for Canadian small and medium-sized businesses (SMBs). This is a true green-field build — new adjudication policy, new underwriting signals, and new risk infrastructure, informed by everything we've learned scaling our consumer card portfolio. About the role: We are looking for a Senior Associate to own credit policy for our business lending products, starting with a business credit card — from adjudication through the full account lifecycle. You will design and implement the underwriting framework that determines who qualifies and at what limit, build the line management strategies that govern how those limits evolve, and partner closely with collections to manage risk once accounts are on book. Small business cards can be underwritten on the owner, or on the business as it grows. You’ll be working with cash flow, seasonality, industry, and business bureau data, which is usually thinner and messier than consumer bureau data. We need someone who has worked across that range and can turn it into automated policy instead of file-by-file decisions. You will collaborate cross-functionally with Engineering, Product, Data Science, Fraud, and Client Experience to translate policy into shippable adjudication and monitoring systems, and you will have significant ownership over how this portfolio’s risk appetite is defined from day one. In this role, you will have the opportunity to: - Build a new lending program from the ground up with the breadth to see every part of it, from policy to funding, and the runway to grow into leading a lending line of business. - Design and own the adjudication policy for a new business credit card, including entity-level underwriting criteria, principal/guarantor assessment, joint-liability, initial limit-setting, and approval decisioning. - Own line management strategy for business credit products: credit limit increases and decreases, pricing, authorization rules, and active exposure management driven by cash-flow and balance monitoring. - Partner with the collections team to design risk-managed treatment strategies specific to business accounts, and to build lifecycle monitoring that catches emerging risk early. - Evaluate the performance of the business lending portfolio and your policies, using vintage analysis, cohort tracking, and champion/challenger testing to validate and refine underwriting decisions. - Propose policy enhancements that improve marginal profitability while keeping risk within appetite, informed by rigorous root-cause analysis rather than surface-level metrics. - Help define the data and underwriting infrastructure needed for SMB lending — including how to source, validate, and weigh business financial data alongside traditional bureau signals. - Influence roadmaps across partner teams (Engineering, Product, Data Science, Fraud, and Client Experience) and implement policy that drives measurable impact. We're looking for someone who: - Has direct experience underwriting or setting credit policy for small and medium-sized businesses, this is a must-have for this role. Card experience isn't required; we'd love to hear from you if your background is in instalment loans or lines of credit. - Writes SQL hands-on to self-serve data and build monitoring and analytics. - Brings credit discipline to a ship-and-iterate environment, and is comfortable shaping policy while the product itself is still being defined. - Can turn analysis into a clear recommendation for technical and non-technical audiences, weigh incomplete or noisy information and still reach well-grounded decisions. - Is intellectually curious, passionate about their work, and wants ownership over their projects. Preferred qualifications: - 5+ years of experience in small business lending - Knowledge of Canadian consumer credit bureau data (Equifax, TransUnion) - Working knowledge of how business credit risk differs from consumer credit risk: entity vs. personal guarantor assessment, business bureau data (e.g., business credit bureaus), cash-flow-based underwriting, industry/sector risk, and revenue seasonality. - Experience across the credit lifecycle: adjudication policy, line management, pricing, and collections strategy. - Experience with statistical/quantitative analysis: experimental design, champion/challenger (or A/B) testing, model accuracy validation, constrained optimization, decision trees, discounted cash flows, financial modeling. - Experience with Python, and GitHub. Airflow, AWS Redshift, and dbt are a plus. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

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 Anthropic's Beneficial Deployments team brings Claude to organizations doing some of the world's most important work across the nonprofit and education sectors. These organizations share a problem: mission-critical work, thin budgets, and little slack to figure out new technology on their own. Our Customer Success team helps them go from first login to Claude being part of how their teams work, but we cannot do that one organization at a time, nor should we. The sector already has trusted intermediaries these organizations turn to first: networks, capacity builders, funder technical assistance providers, community colleges, and fellowship programs. This role exists to make those intermediaries as effective at activating and training organizations on Claude as our own Customer Success team is. As the Scaled Enablement Lead, you'll build the Claude for Nonprofits train-the-trainer program that qualifies intermediaries to onboard organizations and deliver Anthropic-designed workshops on our behalf. You'll own the kits, credentials, and quality gates that let them run the show without an Anthropic CSM in the room. You'll also own the enablement thinking behind scaling impact through Claude Corps : how what fellows learn and build serves every organization we support, not only the ones that host them. The people you enable are not selling Claude. They are trainers, implementers, and program staff whose job is to help mission-driven organizations meaningfully adopt AI. Your job is to make sure these intermediaries can do that with Claude, to the same bar we hold ourselves to, and to help them evolve their offerings as we learn what these organizations need. The measure of success for this role is organizations activated and trained well without Anthropic delivering it. You'll be half program builder, half facilitator. You'll design and deliver the first cohorts yourself, then make the system repeatable: kits, qualification paths, credentials, teach-back gates, and a refresh rhythm that keeps content current as our products change. You'll build on the operating model and certification infrastructure of Anthropic's Education team and own everything specific to this audience, working closely with Beneficial Deployments Customer Success, Partnerships, Claude Corps program leadership, and our Education teams. This is not a partner account management or alliances role, and it carries no quota. It is not a book-of-business Customer Success role either, though you'll spend time with organizations to stay grounded in what these nonprofits truly need. The role reports to the Customer Success Lead for Beneficial Deployments, has no direct reports today, and may grow into people management as the program scales. Expect periodic travel for in-person cohorts and sessions. Key responsibilities: Own the Claude for Nonprofits train-the-trainer program end to end: its tracks, the qualification path for each, the credential, and recertification Build the kits intermediaries teach from: an activation playbook covering kickoff, admin setup, launch, and Day 30/60/90 reviews, and workshop-in-a-box modules starting with AI fluency and use case discovery, each with a deck, facilitator guide, demo scripts, sample data, and workbook Recruit and qualify a pilot cohort of anchor intermediaries, then open a repeatable application process that routes each to the right track and the right home, whether the Claude Partner Network or a Beneficial Deployments credential Design and deliver enablement for network intermediaries, adapting the program to how each reaches and supports its members, and help them evolve their offerings as we learn what organizations need Build the connective tissue among intermediaries so they learn from each other: shared office hours, a facilitator cohort that stays together after qualification, and a clear path for bringing new intermediaries along Support the enablement thinking for Claude Corps: how we extend the reach of fellows and the organizations around the program, and how what they learn feeds back into the enablement every customer receives Hold the quality bar when Anthropic is not in the room through teach-back gates, graded mock sessions, shadowing, and session satisfaction and activation quality at or above Anthropic-led benchmarks Run the program as one system: content intake and refresh calendar, production standards, resource hub organization, learning management system courses and assessments, and the agreement and attribution model for intermediaries acting on Anthropic's behalf Own the program's numbers, including approved trainers, collaborator-led activations and workshops, the Anthropic effort required per organization activated, and quality against benchmark, and use them to decide where the effort goes next Be the field voice for intermediaries inside Anthropic, bringing what they learn back into our enablement content, product feedback, and engagement model Minimum qualifications: 7+ years of experience in enablement, training, or program management Train-the-trainer at scale. You have built and run a program that qualified other people to deliver your training consistently without you in the room: a certified facilitator network, a partner or community education program, or an instructor credential. Learning design and delivery. You have designed adult learning experiences end to end, including curriculum, facilitator guides, and assessments, and delivered them live Nonprofit ecosystem fluency. You have worked with or inside the intermediaries that reach mission-driven organizations (networks, capacity builders, funders, technical assistance providers) and understand how they influence adoption Hands-on proficiency with AI tools. You use Claude and/or other AI tools in your day to day and understand their impact firsthand Preferred qualifications: Comfort being the single owner of a program while depending on teams you do not manage Ownership of, or close partnership with, a certification or badging program, including assessment design and recertification Experience with Skilljar or another learning management system, and with partner portals or resource hubs Facilitation of change management or AI fluency programs for non-technical teams Time at a capacity-building organization, an intermediary, or an edtech or technology company serving the sector Experience leading work through contractors or vendors while keeping several programs coherent 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: $265,000 — $320,000 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: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. JOB PURPOSE: The Technical Program Governance team enables complex technical initiatives across PlayStation engineering organizations by creating clarity, alignment, and disciplined execution across organizational boundaries. As a Staff Technical Change Manager, you will lead the people, adoption, and organizational dimensions of complex technical change across engineering and technology organizations. You will work alongside technical leaders, architects, program managers, and delivery teams to understand what is changing, who is affected, what will be required of them, and how to move from awareness to sustained adoption. This is a technical change role. Success requires more than familiarity with software-development terminology or experience working near engineering teams. You must be able to understand systems, platforms, architecture, integrations, engineering delivery models, and technical dependencies well enough to identify meaningful change impacts, ask informed questions, and translate technical decisions into practical organizational action. This role offers the opportunity to build and shape change capability from the ground up. You’ll help define how change is led, scaled, and embedded across a growing technical organization, creating practical approaches that can evolve with the business rather than inheriting a fixed playbook. EXPERIENCE & QUALIFICATIONS: Essential Bachelor’s degree or equivalent Demonstrated experience leading complex, cross-functional organizational change within technology, engineering, digital, or technical environments. Strong technical fluency across modern software and technology environments. Able to understand systems, platforms, architecture, integrations, engineering workflows, and technical dependencies well enough to assess organizational impact and engage credibly with technical leaders.\ Proven ability to translate complex technical concepts and decisions into clear stakeholder impacts, adoption needs, communications, enablement plans, and practical actions. Deep practical knowledge of organizational change methods and tools, combined with the judgment to adapt, combine, simplify, or move beyond a methodology when the situation requires it. Experience developing end-to-end change strategies, including stakeholder analysis, impact assessment, readiness, communications, engagement, learning or enablement, adoption measurement, and reinforcement. Strong independent judgment and problem-solving skills, with a record of operating effectively in ambiguous environments where the change strategy, operating model, or path forward is still being created. Ability to influence senior technical and business leaders, facilitate difficult conversations, build alignment across competing priorities, and move decisions forward without direct authority. Experience using qualitative and quantitative signals to assess adoption, identify resistance or friction, test assumptions, and adjust strategy based on evidence rather than process compliance. Demonstrated ability to create reusable frameworks, playbooks, tools, and guidance and to coach others so change capability scales beyond the individual. Excellent written and verbal communication skills, including the ability to produce concise executive narratives while retaining enough technical substance for engineering audiences. Desirable Consulting or transformation advisory experience, particularly in environments requiring rapid context building, executive influence, and practical recommendations across multiple clients, organizations, or business units. Experience building or materially evolving a change capability in an organization where practices, roles, standards, and expectations were not already mature or consistently established.\ Experience supporting platform, infrastructure, cloud, architecture, developer tooling, enterprise systems, or other technically complex transformation work. Experience working directly with engineers, architects, technical program managers, product leaders, and senior technology executives. Background in the games, interactive entertainment, or large-scale technology industry. Formal change-management certification. KEY RESPONSIBILITIES & SCOPE FOR DECISION MAKING: Technical Change Strategy and Delivery Lead change strategy and execution for complex technical initiatives spanning multiple teams, organizations, technologies, or geographies. Build a clear understanding of the technical change itself, including affected systems, dependencies, operating models, workflows, roles, and decision points, before determining the appropriate change approach. Translate technical implementation plans into stakeholder impacts, readiness needs, adoption risks, engagement strategies, and measurable change outcomes. Embed organizational readiness into the design and delivery of major initiatives, helping ensure change is considered from the beginning and translated into sustained adoption, stronger execution, and measurable business impact. Identify adoption barriers early, frame the underlying problem, and drive practical interventions that address behavior, capability, process, structure, or incentives as appropriate. Define meaningful measures of readiness, adoption, and sustained use, and adjust strategy when evidence shows the current approach is not working. Technical Partnership and Organizational Judgment Partner closely with engineers, architects, technical program managers, product leaders, and subject-matter experts to understand technical decisions and their organizational consequences. Ask informed technical questions, challenge assumptions constructively, and surface dependencies or downstream impacts that may otherwise be missed in change planning. Operate as a trusted advisor to senior leaders, bringing clear recommendations, rationale, risks, tradeoffs, and expected outcomes rather than relying on escalation or waiting for direction. Demonstrate strong judgment about where and how change leadership can add value. Read the room, adapt to the audience and organizational context, and apply the right level of structure to accelerate outcomes without introducing unnecessary process. Use organizational context, stakeholder insight, and data to determine where leadership attention is required and where teams can move independently. Connect technical transformation to business and organizational outcomes so leaders understand not only what is changing, but why it matters and what successful adoption looks like. Capability Building and Scale Help build a practical, scalable technical change-management capability, including reusable frameworks, playbooks, templates, decision guides, and operating practices. Create lightweight approaches that can be used by program and technical leaders directly, reserving specialist change support for the work where it creates the most value. Coach leaders, TPMs, and cross-functional partners on stakeholder engagement, readiness, adoption planning, resistance, and reinforcement so change knowledge spreads through the organization. Use strong facilitation and organizational judgment to bring the right people together, navigate competing perspectives, and turn complex conversations into clear decisions, alignment, and action. Capture lessons learned and patterns across initiatives and use them to improve future change strategies, tools, and organizational practices. Leave teams more capable than you found them by building knowledge, confidence, and repeatable practices that continue beyond an individual initiative. KEY PERFORMANCE INDICATORS ·       Sustained adoption and organizational readiness for complex technical changes, demonstrated through measurable use, behavior change, or operating outcomes. ·       Quality and timeliness of change-impact identification, stakeholder strategy, risk management, and interventions across multiple initiatives. ·       Demonstrated technical credibility and effectiveness partnering with engineering, architecture, program, and senior leadership audiences. ·       Evidence that change approaches are adapted based on context, feedback, and data rather than applied mechanically. ·       Measurable growth in organizational change capability through reusable tools, coaching, knowledge sharing, and increased self-sufficiency of partner teams. ·       Senior stakeholder confidence in the clarity, practicality, and strategic value of change recommendations and execution. The individual will be measured on: Successful adoption and sustained impact of complex technical and organizational changes, with clear evidence that intended outcomes are understood, adopted, and embedded. Ability to identify where change leadership will have the greatest impact, applying sound judgment and the appropriate level of structure based on the audience, environment, risk, and desired outcome. Quality of strategic partnership with technical and business leaders, including the ability to build trust, navigate organizational dynamics, challenge constructively, and influence decisions. Effectiveness in translating complex technical change into meaningful organizational action, connecting technical direction with what teams need to understand, do differently, and sustain. Measurable improvements in organizational readiness and adoption, using meaningful indicators and feedback to identify barriers, adjust strategy, and improve outcomes. Growth of scalable change capability across the organization, including practices, approaches, and knowledge that enable leaders and teams to manage change more effectively without continued direct support. Ability to strengthen and evolve the organization’s approach to change, identifying opportunities to improve how change is led and building practical capabilities that can scale as the organization matures. Effectiveness operating independently in complex and ambiguous environments, bringing recommendations, exercising strong judgment, and driving work forward without requiring a predefined playbook. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $173,000 — $259,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are seeking a Community Manager, Experiential Marketing to bring Vercel’s developer community together through memorable events and experiences. You will plan and execute meetups, workshops, and community programs that build meaningful connections, deepen engagement, and bring our brand to life. The Ideal candidate is creative and scrappy. You will build relationships with developers and community partners, collaborate across teams, and own event logistics, tracking, and reporting to measure impact and improve future experiences. This position will be based out of the SF office in a hybrid basis (3 days/week) and includes in-office anchor days on Monday, Tuesday, and Friday. What You Will Do: Plan and execute a wide range of events, meetups, hackathons, developer events, and programs both in the HQ office and at outside venues Take new community programs from zero to one, turning ideas into repeatable experiences that connect developers and grow engagement Collaborate with internal teams and external vendors to ensure seamless event execution Manage event timelines, budgets, and logistics, ensuring all deadlines are met Coordinate with support staff, including catering, AV, and facilities tech, to ensure all event requirements are fulfilled Maintain accurate event records, including attendee lists, budgets, and post-event reports Proactively identify and resolve potential issues or challenges related to events Continuously seek opportunities to improve event processes and enhance attendee experiences Provide on-site support during events to ensure smooth operations and attendee satisfaction Manage event-related communication, including invitations, reminders, and follow-ups About You: 3+ Years of experience in developer advocacy, devrel, community, or a similar role, running developer facing events, hackathons, etc. Have creative problem-solving skills and the ability to think on your feet Are meticulous and have a strong attention to detail and a commitment to delivering high-quality events Have strong organizational and time management skills, with the ability to handle multiple projects simultaneously Possess excellent communication and interpersonal skills, with the ability to build and maintain relationships with internal and external stakeholders Are able to work independently and collaboratively in a fast-paced environment Have flexibility to work outside of regular business hours, as required by event schedule Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $118,000 - $163,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Tokyo, Japan 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 Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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.