Вакансии

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Recruiting Operations Manager on the Talent Acquisition team, you will help run the systems, data and processes that let us hire +100 people per month. You will work alongside Talent Acquisition, People Ops, Legal, Finance, and every department that hires. Your job is to make recruiting more effective as we scale: more great hires per unit of effort, without adding unnecessary complexity or sacrificing quality. This role is ideal for someone who thrives at the intersection of process, technology, and people: someone who loves solving operational challenges and driving continuous improvement. WHAT YOU WILL DO - Recruiting infrastructure & operating model: optimize our ATS, broader recruiting stack, workflows and processes end to end; keep the system clean, connected and scalable. - Metrics & performance: build the metrics and reporting that leadership and Ops teams need to make decisions, and turn insights into concrete improvements in speed, quality and efficiency. - Headcount planning & recruiting capacity: partner with Finance and business leaders to align workforce plans with business priorities and ensure recruiting capacity stays aligned as priorities evolve. - Enable recruiters & hiring managers: build practical enablement around tools, sourcing, workflows, interviewing, hiring principles and calibration so teams can operate more effectively. - Candidate experience & recruiting standards: establish a consistent, high-quality candidate experience across the recruiting process, and continuously identify opportunities to improve it - Innovation & leverage: use AI, talent intelligence, market data and emerging technologies to augment how we identify, engage and assess talent, creating new sources of leverage as we scale WHAT WE'RE LOOKING FOR - 5+ years in operations, including 2+ years in recruiting, People or HR Operations, ideally in a company that has scaled headcount quickly and navigated significant organizational complexity. - Strong systems thinking and attention to detail: you naturally connect the dots, spot inconsistencies and care about getting the underlying system right, not just fixing the symptom. - Pragmatic and highly organized: you focus on what will have the biggest impact, can manage multiple complex projects without losing focus, and bring the structure and follow-through needed to get things to the finish line. - Curious and hands-on: you have an appetite to vibe-code your way through automation, experiment with AI and new tools, and are comfortable building lightweight solutions yourself. - High-agency and positive: you operate independently, turn complex problems into solutions rather than simply raising them, and bring a constructive, can-do mindset to the work. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world — one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We're a team of fiercely driven individuals committed to making healthcare more sustainable — and we're looking for passionate people to help us get there. For more information, visit arcadia.io. Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.  Why This Role Is Important to Arcadia Arcadia's commercial team depends on consistent process, clean pipeline data, and forecasts to help manage and grow the business. As a fast-growing company, we need to scale our infrastructure, systems and operating model to one that aligns to the pace of the growth. This role owns the systems, tools, and cadences that make pipeline reviews, forecasting, and reporting consistent and accurate across the entire commercial team. Part of the initial mandate is understanding the current ecosystem of tools and technology that support commercial and revenue operations today, and making recommendations on the optimal tech stack for the function going forward — one that is AI native. This person will be the accountable owner of that stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation. This person will run point on sales operations and the forecasting cadence, and will build the AI-powered operating layer (dashboards, briefings, and workflow tools) that gives the entire commercial organization — not just its leadership — real-time visibility and leverage. This is role is for someone who is execution oriented. You'll work in the tools yourself — not just direct others to — while also setting the strategy, systems, and rigor that let Sales, Marketing, Customer Success, Legal, and Finance move as one aligned, predictable engine. What You'll Be Doing Own the revenue operating system, designing and scaling the processes, metrics, and infrastructure that drive consistent, predictable performance across the business Partner with Systems Engineering to drive end-to-end improvements and scalability in Salesforce, including structure, data hygiene, workflow automation, and adoption across the sales org Evaluate the current ecosystem of tools and technology supporting commercial and revenue operations, and make recommendations on the optimal, AI-native tech stack for the function Serve as the accountable owner of that tech stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation Own pricing strategy, SKUs, and the end-to-end quote-to-cash process, ensuring pricing structures and deal execution are clean, consistent, and scalable Own the forecasting cadence and develop robust, repeatable forecasting models (pipeline, bookings, ARR) that improve accuracy and predictability Build the AI-powered operating layer — automated briefings, pipeline intelligence, meeting prep, and reporting dashboards — that gives the commercial organization real-time visibility Establish and maintain a unified KPI framework, ensuring alignment on definitions, visibility, and accountability across the funnel Act as connective tissue across live opportunities, coordinating Marketing, Finance, the RFP team, Value Enablement, and Sales Engineering so they're effectively leveraged Partner with Sales, Marketing, Customer Success, and Finance leadership to align execution with company goals and financial plans Analyze pipeline health, conversion rates, and sales efficiency to identify opportunities and drive improvements Design and manage sales compensation and incentive plans that align with business objectives and drive desired behaviors across GTM teams What Success Looks Like In 3 months Build a deep understanding of Arcadia's GTM model, revenue streams, and key SaaS metrics (ARR, NDR, GDR, pipeline coverage, win rates, sales cycle) Assess current RevOps infrastructure, CRM configuration, reporting, and forecasting methodologies Map the current ecosystem of tools and technology supporting commercial and revenue operations, and begin forming a point of view on the optimal, AI-native tech stack Establish trust across Sales, Marketing, Customer Success, and Finance leadership In 6 months Own the CRM and forecasting cadence end-to-end, with a unified KPI framework giving clear visibility into pipeline health, revenue performance, and GTM efficiency Ship the first version of the AI-powered operating layer (automated briefings, dashboards, and reporting tools) that reduces manual reporting burden for commercial leadership Improve forecast accuracy through enhanced pipeline modeling and data-driven insights In 12 months Operate a scalable revenue operating system — process, CRM, forecasting, and AI tooling — that enables predictable growth and aligns planning across GTM and Finance Deliver consistent, high-confidence forecasts and actionable insights that directly inform the executive team's decisions Improve key performance metrics (e.g., pipeline coverage, conversion rates, sales productivity, retention) through data-driven optimizatio What You'll Bring The Role, Done Before You have held this exact role — Head/Director of Revenue Operations or equivalent — at a company of similar growth stage, and can point to what you built and owned. Growth-Stage Fluency Track record of operating at growth-stage speed and ambiguity — scrappy, resourceful, and comfortable building infrastructure from scratch rather than administering something already built. Candidates whose experience is exclusively at large, mature organizations without growth-stage exposure are not a fit for this seat. Deep SaaS Metrics Expertise Strong command of key SaaS metrics including ARR, NDR, GDR, CAC, LTV, pipeline coverage, and sales productivity, and how they connect to business performance. Forecasting & Modeling Rigor Proven ability to build and operationalize forecasting models (e.g., pipeline velocity, ARR forecasting) that improve accuracy and predictability. CRM & Systems Ownership Deep, hands-on experience owning a CRM (Salesforce or equivalent) and the broader GTM tech stack — configuration, data integrity, and workflow design, not just consumption of dashboards. Pricing & Quote-to-Cash Experience Hands-on experience owning pricing strategy, SKU structure, and the quote-to-cash process, ideally in a company that scaled or restructured its pricing model. AI-Forward Comfortable using AI tools to build operational leverage — automating reporting, briefings, and workflows rather than relying solely on headcount to scale. Cross-Functional Leadership Track record of partnering effectively with Sales, Marketing, Customer Success, Finance, and executive leadership to drive alignment and results. Operator Mindset Ability to move between strategy and execution, translating insights into action and driving measurable impact. Would Love for You to Have 8–12+ years of experience across Revenue Operations, Sales Operations, or GTM analytics in a SaaS environment Experience supporting a high-growth SaaS company through key milestones (e.g., post-acquisition integration, scale-up, or M&A) Familiarity with modern BI, AI, and planning tools (e.g., Sigma, Adaptive, Salesforce ecosystem, AI-native reporting/agent tools) and building self-service analytics environments Experience designing and optimizing sales compensation plans at scale What You'll Get The mandate to build a consistent, predictable commercial engine — including its AI-powered tooling — rather than inherit and maintain one A growth path from individual contributor to leading the people and functions that support sales operations as Arcadia scales A mission-driven culture where your work supports better healthcare outcomes Competitive compensation and strong benefits, including Flexible Time Off A collaborative, data-driven environment focused on impact, ownership, and continuous improvement About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager. This role is bonus eligible

Location: United States Workplace: Remote ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability. Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers. The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency. This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation. Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation. WHAT YOU’LL DO - Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale. - Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems. - Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion. - Build software and automation that eliminate repetitive operational work and make the platform easier to operate. - Identify architectural bottlenecks and help shape the roadmap for the next stage of scale. - Work closely with product, infrastructure, and service teams across ClickHouse. - Contribute to architecture and design reviews and help raise engineering quality across the team. HOW YOU WORK - You take ownership and proactively improve the systems around you. - You are comfortable debugging unfamiliar distributed systems in production. - You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost. - You communicate clearly in a remote, async-friendly environment. - You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence. - You address the underlying cause of operational problems rather than repeatedly treating the symptoms. TECHNICAL EXPERIENCE - 5+ years of experience building and operating production systems at scale. - Strong proficiency in Go. - Experience building and operating services on Kubernetes. - Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD. - Production experience with at least one major cloud provider: AWS, GCP, or Azure. - Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies. BONUS POINTS - Experience with ClickHouse. - Experience with high-throughput ingestion, streaming, queueing, or storage systems. - Experience building multi-tenant cloud services. - Experience optimizing infrastructure for both performance and cost. - Experience with TypeScript. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability. Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers. The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency. This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation. Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation. WHAT YOU’LL DO - Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale. - Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems. - Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion. - Build software and automation that eliminate repetitive operational work and make the platform easier to operate. - Identify architectural bottlenecks and help shape the roadmap for the next stage of scale. - Work closely with product, infrastructure, and service teams across ClickHouse. - Contribute to architecture and design reviews and help raise engineering quality across the team. HOW YOU WORK - You take ownership and proactively improve the systems around you. - You are comfortable debugging unfamiliar distributed systems in production. - You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost. - You communicate clearly in a remote, async-friendly environment. - You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence. - You address the underlying cause of operational problems rather than repeatedly treating the symptoms. TECHNICAL EXPERIENCE - 5+ years of experience building and operating production systems at scale. - Strong proficiency in Go. - Experience building and operating services on Kubernetes. - Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD. - Production experience with at least one major cloud provider: AWS, GCP, or Azure. - Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies. BONUS POINTS - Experience with ClickHouse. - Experience with high-throughput ingestion, streaming, queueing, or storage systems. - Experience building multi-tenant cloud services. - Experience optimizing infrastructure for both performance and cost. - Experience with TypeScript. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Yerevan, Armenia ClinChoice is a global full-service CRO dedicated to professional development and providing an excellent work-life balance, with a quality-focused, collaborative “one-team” culture. We are looking for a dynamic person to join our in-house team as a Senior Associate, Aggregate Reporting Physician on a permanent basis. Join our team: you can be part of making a difference in peoples’ lives and experience a fulfilling and rewarding career! Position Overview: The Senior Associate, Aggregate Reporting Physician position is responsible for developing, reviewing, and maintaining high-quality safety and pharmacovigilance documents that support the safety surveillance and regulatory compliance of consumer health products. It requires the ability to synthesize data from multiple sources, including individual case safety reports (ICSRs), aggregate safety data, clinical studies, epidemiological research, literature reviews, post-marketing surveillance, signal detection activities, and other safety data sources. The successful candidate will transform complex safety information into clear, concise, and scientifically accurate documents that support global pharmacovigilance activities and regulatory submissions and will work closely with Drug Safety, Medical Affairs, Regulatory Affairs, Clinical Development, Quality, and R&D teams to ensure consistent, evidence-based communication of product safety information. Main Job Tasks and Responsibilities: Prepare, review, and maintain pharmacovigilance and risk management documents for consumer health products. Synthesize safety information from multiple sources, including: Individual Case Safety Reports (ICSRs), Aggregate safety data analyses, Clinical trial safety data, Post-marketing surveillance data, Epidemiology studies, Published literature, Signal detection and evaluation activities, Benefit-risk assessments, Health Authority Assessment Reports. Draft and support the preparation of: Periodic Safety Update Reports (PSURs/PBRERs/PADERs), Ad Hoc Safety Reports, Development Safety Update Reports (DSURs), Signal assessment reports, Aggregate safety reports, Risk management documentation, Health authority responses, Safety narratives, Safety sections of regulatory submissions, Safety surveillance reports and presentations, Analysis and evaluation for the Safety Management Teams (SMT). Collaborate with Safety Scientists, Medical Reviewers and others to evaluate emerging safety information and communicate findings effectively. Assist in the interpretation of safety trends, potential signals, and benefit-risk considerations. Support literature surveillance activities and summarize relevant safety findings. Contribute to the development of safety conclusions and evidence-based recommendations. Support the preparation, review, and analysis of risk management activities and reports. Ensure all documents comply with global pharmacovigilance regulations, company SOPs, and applicable guidance documents. Maintain high standards of scientific accuracy, consistency, grammar, and document quality. Perform quality control reviews of safety documents and ensure timely delivery of assigned projects. Support inspection and audit readiness activities through accurate documentation practices. Education and Experience: Advanced degree required: PharmD, PhD, MD, MPH, MS, or equivalent scientific discipline. 3–6 years of experience in pharmacovigilance, drug safety, medical writing, regulatory writing, or related pharmaceutical, consumer health, or medical device industries. Experience preparing safety and pharmacovigilance documents preferred. Familiarity with global pharmacovigilance regulations and safety reporting requirements. Experience working in a matrixed environment with multiple stakeholders. Strong understanding of: Clinical research methodologies, Epidemiology and biostatistics, Evidence-based medicine, Regulatory and scientific communication requirements, Safety and benefit-risk assessment principles Expertise in literature evaluation and scientific data interpretation. Ability to critically analyze multiple complex scientific information and identify key insights to drive product safety. Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) with strong document formatting, data analysis, and presentation capabilities. Excellent medical writing, editing, and proofreading skills. Exceptional grammar, attention to detail, and document quality standards. Strong analytical and critical thinking capabilities. Effective project management and organizational skills Exceptional Communication and Presentation Skills, with the ability to convey complex clinical and scientific information clearly and effectively to diverse audiences. Ability to work independently while managing multiple priorities and deadlines. Our Benefits: Flexible Working Hours Full performance and development process with end of year reviews Team events and end of year party Employee satisfaction survey - your feedback is important for continuous improvement Health Insurance The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. We are on a mission to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Join our passionate team and make a meaningful impact on global healthcare! Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology.  The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book. You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs. This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own. Responsibilities: Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier You may be a good fit if you: Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go Have strong executive presence and can build trust with technical and business leaders alike Have a genuine passion for making powerful technology safe and societally beneficial Strong candidate may have: Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500 Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them A visible technical presence through conference talks, written content, or open-source contributions 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: $315,000 — $380,000 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: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike. What you’ll do Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant. Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing. Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers. Collaborate with Product , Development , Infrastructure , Customer Success , and Sales teams to drive bug fixes, influence feature development, and help shape product goals and roadmap. Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them. Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently. Partner closely with Support Engineering team members through pairing sessions and stable counterpart relationships to share knowledge and solve problems together. Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews. What you’ll bring Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution. Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations. Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools. Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers. Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides. Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails. Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders. Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains. About the team The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s Transparency value, you can see what we are working on in our Support Team page. Additionally, you can see our company roadmap and meetings to see what we are working on at any time. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What will I be doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What skills do I need? Minimum of 3 years of experience in a technical sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally *Proof of eligibility to work in the United States is required. The OTE salary range for candidates within the San Francisco Bay Area or New York City is $190,800-$227,900 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What will I be doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What skills do I need? Spanish Fluency is required Minimum of 3 years of experience in a technical sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally *Proof of eligibility to work in the United States is required. The OTE salary range for candidates within the Greater Chicago Area is $171,720-$205,110 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike. What you’ll do Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant. Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing. Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers. Collaborate with Product , Development , Infrastructure , Customer Success , and Sales teams to drive bug fixes, influence feature development, and help shape product goals and roadmap. Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them. Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently. Partner closely with Support Engineering team members through pairing sessions and stable counterpart relationships to share knowledge and solve problems together. Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews. What you’ll bring Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution. Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations. Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools. Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers. Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides. Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails. Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders. Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains. About the team The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s Transparency value, you can see what we are working on in our Support Team page. Additionally, you can see our company roadmap and meetings to see what we are working on at any time. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $213,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote (USA) Workplace: remote Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.  Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.  Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.    Why This Role Is Important to Arcadia Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.  As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.    What Success Looks Like In 3 months You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations In 6 months What You'll Be Doing Design and iterate on agent behavior across real, live workflows, including long- horizon , multi-turn agentic tasks Design retrieval and context architecture so the right source data reaches a model in the right structure and agents remain grounded in real data rather than filling gaps with assumptions Design memory and state handling across multi-turn and multi-agent flows, determining what is carried forward, summarized, or dropped and why Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior Improve performance through prompting, tool-use strategy, and context construction, validated through direct experimentation rather than guesswork Build and run evaluations against real production conditions to measure performance, regressions , failure modes, and edge cases Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost , not just frequency , and monitor those measures against production behavior Design and validate escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior Partner closely with Product and product managers to ensure agents are not just capable, but steerable, trustworthy, and ready to scale What You'll Bring Bachelors degree in Engineering or related field and/or masters of Data Science or related field 4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix Would Love for You to Have Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards What You'll Get The opportunity to define how agent performance, safety, and readiness are measured for production healthcare workflows Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform A mission-driven company working to improve how patients receive care A flexible, remote-friendly culture with personality and heart Employee-driven programs and initiatives for personal and professional development Membership in the talented, energized, diverse, and purpose-driven Arcadian community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Ciudad de México, Mexico Workplace: hybrid Location: Mexico City (Hybrid for Mexico location and remotely for others locations) | Department: Strategy D&A Office Company: NOVACARD Be part of NOVACARD’s transformation into a truly data-driven fintech. We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management. Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning. 📝 What You’ll Do – Responsibilities: 📈 Drive Strategic Analytics ·       Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn. ·       Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods. ·       Identify growth drivers, operational inefficiencies, and levers for strategic improvement. ·       Provide analytical support for strategic planning, quarterly targets, and investment prioritization. 🧠 Lead Data-Driven Transformation ·       Design and implement a framework for data-driven decision-making across departments. ·       Establish standardized KPI definitions, reporting hierarchies, and accountability chains. ·       Support leadership in translating business goals into measurable data objectives. 🧩 Build Data Governance Framework ·       Coordinate creation and maintenance of core governance artifacts: ·       Metadata descriptions ·       Enterprise Data Catalog ·       Data Lineage (technical and business flow mapping) ·       Business Glossary (data stewards and owners register) ·       Data Quality Rules & Profiling metrics ·       Data Observability & Monitoring dashboards ·       Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows. 🔍 Maintain Data Quality & Trust ·       Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy. ·       Investigate data anomalies and drive root-cause analysis with responsible teams. ·       Build automated data quality and observability processes within DWH and reporting layers. 🧪 Run Strategic Experiments ·       Design and analyze A/B and multivariate tests supporting product and business hypotheses. ·       Measure incremental impact of product, pricing, and communication changes on key business metrics. ·       Apply statistical rigor to evaluate significance and scalability of experimental results. 📊 Deliver Executive Insights ·       Develop dashboards and reports that translate complex data into actionable recommendations for management. ·       Support financial planning, forecasting, and scenario analysis with data-driven models. ·       Ensure consistent alignment between operational KPIs and strategic company goals. 🤝 Cross-Functional Collaboration ·       Act as an interface between Strategy, Product, Data, and Finance teams. ·       Promote data stewardship culture and educate teams on proper data usage and governance principles. ·       Facilitate adoption of data-governance tools and processes across the organization. 📝 Regular Tasks: ·       Maintain financial and operational KPI dashboards in Power BI (or similar). ·       Conduct deep-dive analyses on acquisition, retention, and monetization metrics. ·       Support management in quarterly OKR reviews with analytical insights and forecasts. ·       Curate metadata, lineage, and glossary entries for critical datasets. ·       Track implementation of governance policies and compliance with data ownership model. ·       Evaluate effectiveness of data quality monitoring tools and workflows. ·       Prepare and present analytical materials for leadership and board-level reviews. 💻 Skills & Tools: ✅ SQL – advanced level for analytics and governance queries. ✅ Python – for modeling, statistical analysis, and data validation. ✅ Power BI (or similar-  Tableau, Looker etc) – for data storytelling and executive reporting. ✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc. ✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.). ✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis. ✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling. 🌟 Soft Skills: 🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives. 🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes. 📋 Project Management – coordinates cross-team governance initiatives. 🔎 Critical Thinking – detects weak points in data logic and decision frameworks. 🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT. 🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp wins when our customers win. Ramp’s customer base is scaling rapidly, spanning more businesses, more users, and more use cases across increasingly complex finance operations. At the same time, our expanding product surface area — from cards and expense management to bill payments, procurement, vendor management, accounting automation, and emerging products — is creating more nuanced customer needs and more cross-functional support moments. AI is changing what is possible in parallel: giving CX new ways to route, resolve, and guide customers, while raising the bar for where human judgment, specialization, and consultative support matter most. We are hiring a Director to lead a critical part of our omni-channel Customer Experience organization: the teams and leaders serving customers across Phone, Email, and Chat. You will lead within a 24/7 customer operation, ensuring the right coverage, leadership, and customer experience across channels. This role is accountable for the performance of its channel portfolio, helping customers get the right answer quickly and delivering consistent results across quality, speed, productivity, and customer satisfaction. The role combines direct leadership of channel teams with close partnership across CX Operations, CX Specialized teams, CX AI Ops, and Product Operations. You will develop strong managers and frontline teams, create real accountability, and stay close enough to the work to understand where customers and teams are getting stuck. You will translate the department’s direction into clear priorities, stronger operating routines, and measurable improvements across Phone, Email, and Chat. Because Ramp’s CX team sits within the Product organization, this role has close ties to the technical teams and products our customers use every day. That proximity gives CX a unique opportunity to turn frontline insight into better workflows, stronger product feedback loops, and an AI-powered way of working. This role is a strong fit for a thoughtful, hands-on leader who learns quickly, raises the bar, and makes clear decisions in a fast-changing environment. You are comfortable owning the day-to-day, rolling up your sleeves to understand the work and the product deeply, developing people, setting high standards, and turning complex problems into clear plans that improve outcomes for customers and teams. You will help define how managers lead, how frontline teams use AI and automation, where human judgment matters most, how channels work together, and how CX scales through Ramp’s next chapter. If you love building high-performing teams, solving hard operational problems, and helping customers win through rapid product, business, and AI-driven change, this role is for you. WHAT YOU’LL DO - Own day-to-day channel execution — lead Phone, Email, and Chat teams, stay close to the work, and drive frontline performance across customer satisfaction, quality, service levels, resolution quality, and productivity. - Develop CX leadership — coach Managers, set clear expectations, and build accountability for team performance and customer outcomes. - Serve as an escalation point — help resolve high-priority customer and internal escalations, bringing sound judgment, urgency, and clear communication to complex issues. - Improve tools, workflows, and channel execution — use product knowledge, customer feedback, quality findings, and performance data to improve operating routines, resolve cross-channel trade-offs, and partner with CX Operations, CX Specialized teams, AI, Product Operations, Product, Engineering, Risk, and other stakeholders on better workflows and automation opportunities. - Challenge how we operate — evaluate whether our metrics, workflows, team structures, training, and operating model meet today’s customer and business needs. Bring a founder mindset by questioning assumptions, testing new approaches, and helping the organization evolve. - Shape the AI-powered future of CX — define how CX should evolve as Ramp grows, including how managers lead, how frontline teams use AI and automation, where specialization improves the customer experience, and where human judgment should be elevated. - Turn strategy and emerging opportunities into scalable operations — translate department priorities and new business areas into clear channel plans, repeatable processes, strong change management, and high adoption across Phone, Email, and Chat. WHAT YOU NEED - Experience as a leader who has managed large, complex operational teams in a fast-paced environment; traditional support experience is valuable but not required. - Exceptional learning agility and horsepower, with startup or similarly high-ownership operating experience; you learn new domains quickly, move through ambiguity, and build structure without waiting for perfect information. - A record of improving customer-facing operations through rigorous analysis, strategic problem solving, and strong execution, including finding practical solutions to complex problems others may miss. - An empathetic, direct leadership style that develops people while holding a high personal and team bar for performance, quality, ownership, and follow-through. - Strong written and verbal communication, including the ability to align teams and cross-functional partners around difficult decisions. - A builder mentality around technology and operations, with experience using AI, automation, or workflow tooling to transform the customer and team experience and drive changes from idea to adoption. - Curiosity about the business behind the support motion, with the ability to connect customer needs, product complexity, frontline workflows, and company priorities. NICE TO HAVES - Experience leading multiple customer-facing channels, such as Phone, Email, Chat, or other real-time and asynchronous support operations. - Experience in FinTech, financial services, or another complex, highly regulated environment. - Experience partnering with operations, product, or tooling teams to improve customer-facing workflows across multiple teams. - Experience scaling customer operations at a high-growth startup. COMPENSATION For candidates located in New York City or San Francisco, the base salary range for this role is $220,000–$290,000. For candidates located in all other locations, the base salary range will be between $190,000-$260,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London, UK 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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to insurance organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with insurers, reinsurers, brokers and MGAs. You'll leverage your consultative sales expertise in the insurance sector to propel revenue growth while becoming a trusted partner to insurance stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in underwriting, claims handling, and distribution. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with insurance decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the insurance sector. Navigate complex insurance organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within underwriting teams, claims operations, actuarial functions, and distribution channels. Collaborate cross-functionally to differentiate our offerings for insurance applications Navigate complex insurance stakeholder ecosystems including executives, underwriting and claims leadership, IT departments, risk and compliance functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying insurance market needs. Provide insights that strengthen our value proposition for insurance Continuously refine the insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within insurance organisations and securing strategic deals by understanding both technical requirements and insurance use cases Demonstrated ability to navigate insurance organisational structures and procurement processes, building consensus among diverse stakeholders including executives, underwriting and claims leadership, and IT departments Extensive experience negotiating complex agreements within insurance procurement frameworks, vendor risk and third-party assurance policies Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various insurance audiences, from underwriters and claims managers to senior executives Deep understanding of insurance buying cycles, decision-making processes, and key pain points, including the regulatory environment insurers operate within A strategic, analytical approach to assessing the insurance market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for insurance use 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: £280,000 — £330,000 GBP 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: Atlanta Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description We are looking for a seasoned underwriter with a background in payments, due diligence, and financial analysis to join our Platforms Underwriting team in Atlanta. You will be part of a team that is responsible for underwriting applications for customers utilizing Checkout.com http://Checkout.com’s solution for platforms, primarily Payment Facilitators, Marketplaces, and Staged Digital Wallet Operators. This team focuses on analysis relevant to Customer Due Diligence, Enhanced Due Diligence, Business Model, Credit, and Financial Analysis. This role offers unique exposure to our core business areas, collaborating closely with our key internal players (Commercial, Compliance, Risk, Legal teams and Senior Management) and our high-value merchants and partners. How you'll make an impact - Conduct business model analysis and a holistic assessment of a customer’s risk profile, leveraging your proficient-level understanding of the risks and requirements of different Platform models (ISVs, Payfacs, Marketplaces, Staged Digital Wallets, MORs). - Conduct customer due diligence and enhanced due diligence analysis on prospective customers including KYC, KYB, PEP, Sanctions, and Adverse Media screening. - Conduct expert-level analysis of P&L, balance sheet, and cash flow statements of Platform models and other high-risk sectors. - Prepare persuasive summaries to internal stakeholders and risk committees, identifying mitigants and making balanced recommendations for each deal. - Represent the Platform Underwriting team in leading and attending customer calls and meetings alongside Sales or Account Managers. - Approve individual credit submissions in line with approval authority. - Identify operational issues and areas for improvement, and make detailed recommendations on how to improve the merchant onboarding experience. - Act as a mentor to new or junior team members through training initiatives and credit approvals. - Foster a culture of collaboration with key internal stakeholders, in particular Sales/Account Managers, and first and second line Risk and Compliance personnel and Legal. - Contribute to department and cross-functional projects/initiatives as required. What we’re looking for - Proficient-level understanding of Checkout's Platform product offering, including features and limitations, and the ability to independently classify different Platform models. - Expert-level financial statement analysis and credit exposure assessment ability. - Demonstrated ability to make sound judgments, balancing risk and reward. - Competent escalation management, acting with urgency to ensure escalations are prioritized, owned, and resolved effectively. - Ability to continually monitor and independently manage competing priorities and adjust accordingly without impact to SLA attainment. - Excellent written and interpersonal communication skills, with concise presentation skills and the ability to deliver complex messages clearly. - A passion for operational improvement initiatives and the ability to contribute to broader department initiatives and projects. - Possess a ‘customer first’ approach to delivering creative solutions. Experience you'll bring to the role - 6+ years of direct experience related to financial analysis or merchant underwriting. - 5+ years of work experience related to due diligence, merchant underwriting, or equivalent underwriting work. - Demonstrable experience related to customer due diligence, enhanced due diligence, merchant underwriting, credit insurance, and/or commercial lending. - Subject matter expertise in AML/CTF and/or underwriting and financial analysis. - Domain expertise within the payments or Fintech industry will be preferable. - Previous experience coaching or mentoring is desirable. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Compensation & Benefits Specialist to join our team in London, UK. In this role, you will support the development and implementation of our compensation and benefits programmes, working closely with HR, Finance, and leadership. You will play a key role in salary benchmarking, benefits, payroll-related processes, and reward initiatives, helping us maintain a competitive and compliant approach to compensation and benefits. WHAT YOU'LL DO - Develop and implement compensation and benefits strategies aligned with company goals. - Conduct salary benchmarking, market analysis, and job evaluations to ensure competitive pay structures. - Manage employee benefits programs, including pensions, health insurance, and other perks. - Oversee payroll-related processes in collaboration with finance and HR teams. - Ensure compliance with UK employment laws and regulations related to compensation and benefits. - Support the design of incentive schemes, bonuses, and performance-based rewards. - Provide guidance to employees on compensation structures, benefits, and policies. - Collaborate with leadership to enhance employee satisfaction and retention through effective reward programs. WHAT WE'RE LOOKING FOR - 5+ years of experience in compensation & benefits or a related HR role. - Previous experience in IT, tech, or digital companies is a plus. - Strong analytical skills with the ability to interpret salary data and market trends. - Solid understanding of UK labor laws and compensation regulations. - Experience with HRIS and payroll systems. - Excellent communication and stakeholder management skills. - Proactive and detail-oriented mindset with a strategic approach. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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 We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform. Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on. What you'll do Scale the platform. Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production. Evolve the harness — and prove it with evals. The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude. Help builders get the most out of Claude. Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely. Design APIs that outlast their implementations. Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship Care about building systems that other engineers and businesses love to use, and about doing so safel Strong candidates may also have: Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization Built evaluation or benchmarking infrastructure for LLM or agent systems Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes Shipped public developer platforms, APIs, or SDKs used by external developers at scale Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San José, Costa Rica; Quito, Ecuador Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for a Client Solutions Manager to strengthen our team in Costa Rica where you will be representing TikTok in the local market. In this role, you will be targeting brands and agencies to get them to adopt TikTok for their online marketing campaigns.   If you’re passionate about digital marketing, have a data driven mindset and have a proven track record in media don’t hesitate to reach out to us. What you'll do: Participate in strategic planning to grow or generate new business opportunities. Act as a consultant for top Key accounts. Primary POC for client campaign management and timely reporting. Provide actionable insights on campaign performance (products, budget, creatives vs. KPIs, delivery). Ensure SLA adherence for excellent client service. Optimize accounts for increased spend and manage reservation projects. Drive product/company education and share best practices with clients/agencies. Collaborate with cross-functional teams on creative ad solutions for business results. Premium contact for the Sales Team. Support client/agency education on product solutions to grow business and manage key relationships. Maximize ROI through optimization and upselling with client reports. Manage large customer relationships and drive business decisions through conflict resolution. Provide feedback to product/tools teams for platform scaling. Organize account information, assets, data, and reports. Maintain campaign records, schedules, and ad placement availability. Ensure accurate ad specs/rates; responsible for campaign reporting and optimization. Skills and Experience Required At least 4 years of experience in client relationship management and digital media. Advanced English skills Bachelor’s degree in Advertising, marketing, business, or tech. Deep understanding of the digital landscape and a passion for social media. Experience managing campaigns across digital platforms and ad tech products. Intimately familiar with online media planning, design, and art control of advertising pieces. Strong communication and people skills (working directly with clients). Detail-oriented, with exceptional organizational skills Aptitude, creativity, and a preference for working in collaborative teams and across business units. Strong time management and problem-solving skills. Ability to multi-task under challenging deadlines while still focusing on details Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH