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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: 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds. As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are. What you'll do Our work splits into two workstreams, and we need your help across both. Portable infrastructure. We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in. Claude on partner clouds. We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'll own that delivery end to end, including the build, release, and validation pipelines behind it. You'll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them. Across both, you'll shape how the rest of Anthropic builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice. You might be a good fit if you: Have a minimum of 8 years of practical experience building and operating production distributed systems Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust) Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi) Understand ML infrastructure and supporting interconnects Ship software through hyperscaler marketplaces or managed-model platforms Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI 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: 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: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer – Applied AI & Streaming Aliso Viejo, CA The vision We think AI will change what cloud gaming can be. It can make streamed play faster, more personal, and more accessible, and in some ways better than playing locally. As a Senior Software Engineer on our team, you'll build agents and inference-backed systems into a real-time streaming platform and ship them to players. You'll work where AI meets performance-sensitive systems, and a lot of the problems here are still being defined. What you'll do Design, prototype, and ship AI-powered capabilities across our streaming platform and player experience. Apply inference and agents to real-time performance, player engagement, personalization, and accessibility. Use AI to understand, optimize, and evolve large existing codebases, including our streaming stack. Build and extend our platform in C++, and help shape the technologies and architecture we use next. Build what production AI needs: evaluation, telemetry, guardrails, fallbacks, and attention to latency and cost. Turn ambiguous ideas into demos and experiments, measure what works, and harden it for production. Work AI-natively every day, using coding agents, automation, and rapid exploration, and help the team do the same. Work with a small, focused engineering team and with partners across streaming, platform, and cloud. You're a great fit if you have A BS in Computer Science or a related field, or equivalent practical experience. Senior-level software engineering experience with a track record of owning complex systems end to end. Strong C++ skills from professional work in production codebases. Hands-on experience building and deploying agents or AI-powered features in production. You've worked through evals, regressions, latency, cost, and the ways these systems fail. A strong grasp of how to turn models into products, including context and prompt design, tool use and orchestration, memory and retrieval, model selection, and where inference should run. Fluency with AI-native engineering workflows. Product judgment. You can tell when AI makes an experience better and when it's a gimmick. The ability to work in ambiguity, move quickly, and keep momentum as priorities change. Clear communication, strong ownership, and a habit of making the people around you better. Bonus XP Python, Rust, or other languages used to build and serve AI systems. Low-latency or on-device inference, model optimization, or GPU experience. Real-time media, game streaming, graphics, or video experience. Cloud infrastructure, distributed systems, or production platform experience. Experience building conversational or agentic experiences for games or interactive products. Linux or Windows systems experience. Japanese language or cross-cultural collaboration experience. You enjoy playing video games. Why join us Work on AI problems most engineers never get to. In real-time systems, every millisecond counts, and so does every inference call. Help set the direction. Our AI strategy is still taking shape, and you'll help decide what we build, not just how. Get real ownership. You'll join a small, senior team where ideas go from prototype to production quickly. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $177,300 — $265,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: 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: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion The Role As a member of the analytics team, you bring order to vast amounts of internal and external data so OnePay can make better data-driven credit decisions, faster. You’ll own credit and product analytics for our in house liquidity products driving smarter decisions, better outcomes for our customers and growth for the business. You understand that risk is about more than minimizing losses and are eager to work cross functionally with product, engineering and data science teams to drive the business forward In this role, you will: - Own credit strategy end-to-end across advance, overdraft and other credit products — creating policies that balance growth and risk - Think holistically about customer behavior, not just program-level metrics — connect segmentation and behavioral signals across products to uncover new insights - Launch new credit products from scratch balancing first principles and limited data to scale innovative experiences with a credit and product lens - Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics. - Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business You bring - 4-8 years of professional experience in credit analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment. - Demonstrated experience with consumer underwriting strategy and/or portfolio risk analytics — cash advance, overdraft, BNPL, or short-term consumer lending experience is a strong plus. - Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets. - Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights. - Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’. - An act-like-an-owner mentality. We have a bias toward taking action. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.   This role is based in Dublin, Ireland. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.   WHAT YOU'LL ACHIEVE: - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion   SKILLS YOU'LL NEED TO BRING: - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. - Fluency in Dutch   NICE TO HAVES: - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 OTE per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Espoo Workplace: Hybrid Role highlights: - Senior Fullstack Engineer - Location: Espoo - Department: Engineering, Fleet Control and Communications - Reports to: Engineering Manager, Fleet UI - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Fullstack Engineer in Fleet UI team you will be building a mission-critical system used by satellite operators. The problems are technically rich: managing satellite configurations, visualizing orbits in 3D, managing passes across a global network of ground stations, automating mission operations and more. You will work in a domain where the UI decisions directly impact satellite mission outcomes. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.   Your day-to-day responsibilities   - Build, and maintain features across a React + TypeScript project serving real-time satellite operations - Collaborate closely with a UI/UX designer in developing sophisticated UI components and data visualizations tools including timeline views, 3D globe rendering (Cesium), and pass planning interfaces - Contribute occasionally to backend APIs (Node, Python) to unblock delivery when needed - Drive frontend architecture decisions — state management strategy, component design, performance optimization - Support the team with DevOps work across multiple environments — including managing Docker-based deployments, configuring environment-specific runtime settings, and contributing to release workflows - Write and maintain unit tests (Jest + Testing Library) and end-to-end tests (Playwright) - Participate in code reviews, uphold coding standards, and mentor engineers on best practices - Contribute to CI/CD pipelines and oversee migration from Webpack 5 to Vite What we’re looking for Must haves: - 5+ years of professional experience building fullstack production-grade applications using React, TypeScript (ES6+) and Node - Experience writing clean, maintainable code in Python - Strong understanding of component-based architecture, modern React patterns, and state management approaches - Experience designing, developing, and consuming RESTful and GraphQL APIs - Solid testing discipline, including unit and end-to-end testing with tools such as Jest and Playwright - Experience with modern frontend tooling and build systems such as Vite, webpack, and npm - Proficiency with Git and collaborative development workflows Active use of AI-assisted development tools - Strong problem-solving skills and ability to debug complex, cross-layer issues - Understanding of web application security best practices - Relevant higher education degree in Computer Science, Software Engineering, or a related technical field Nice to haves - Solid understanding of API design, including REST principles and GraphQL schema design - Knowledge of database design and ORM frameworks - Experience with modern DevOps practices including CI/CD pipelines, containerization, and cloud platforms such as AWS - Familiarity with infrastructure and deployment tooling such as Kubernetes, Terraform, Helm, or ArgoCD Application Process - Talent Partner Screen Call - Hiring Manager Interview - Technical Interview - Values & Fit Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is 6 500 - 9 000 € per month (gross), depending on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hybrid - New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager, Observability to join our Product team. You will own the strategy and roadmap for Vercel's observability products, including Runtime Logs, OpenTelemetry tracing, and Drains, which let teams stream logs, traces, Web Analytics events, and Speed Insights metrics into the systems they already use. You will partner closely with engineering and design to help customers understand and debug what they run on Vercel, both through Vercel's native surfaces and through integrations with vendors that support OpenTelemetry. You will report to the product lead and will be located in New York, NY (hybrid). If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own strategy and roadmap for Vercel's observability products, from telemetry ingestion through the surfaces developers use to debug and monitor. Turn ambiguous signal — support escalations, customer interviews, usage data, competitive shifts — into a sequenced plan with clear tradeoffs. Partner daily with engineering on scoping, and with design on making dense telemetry data genuinely legible. Define the native-vs-integrate line: what Vercel builds, and where we make Datadog, Sentry, Grafana, Honeycomb, and New Relic work seamlessly. Work with Enterprise customers and Sales/Solutions on observability needs that block adoption or expansion. Own pricing and packaging decisions with Finance and GTM — observability is metered, and unit economics are part of the product. Write the launch narrative: changelogs, blog posts, docs direction, in partnership with PMM Define the metrics that tell you it's working, and hold the team to them. What you need 5+ years in product management, with meaningful time on developer, infrastructure, or data-intensive products. You've shipped something technical enough that engineers treated you as a peer. You can read a trace waterfall and reason about cardinality, sampling, and retention costs. Comfortable owning a domain end to end without a PM above you translating strategy into work. You use the products you build on, and you have opinions about the ones you don't. Fluency with data: you write your own queries and don't wait on someone else to answer a usage question. Bonus if you Have worked at an observability, APM, or monitoring company, or been the internal power user of one at scale. Have shipped AI or agent-facing developer tooling. Have owned consumption-based pricing for a technical product. Are an active Next.js or Vercel user. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.