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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic’s Infrastructure organization is responsible for the systems that train our models, serve our products, and support our engineering teams. That includes datacenter operations, capacity planning across cloud providers and our own facilities, accelerator cluster management, production serving infrastructure, developer tooling, data pipelines, and networking. It’s a lot of surface area, and the demands on it are growing fast. We’re hiring a TPM leader to own program management across this whole ecosystem from compute provisioning through to production workloads. We’re bringing up new datacenters, scaling multi-cloud compute across AWS, GCP, and Azure, managing datacenter construction, and building the software infrastructure to keep pace. The team is growing very quickly, and we’re looking for a senior leader with experience at scale to build and scale this team to support Anthropic’s rapid growth. You’ll report to the Head of TPM, partnering closely with various engineering leaders on technical strategy, roadmapping, and aligning TPM support where it is most impactful. You’ll personally drive 2–3 critical programs while leading your teamin parallel. This is a role where you need to be comfortable doing the work yourself before you can hand it off. What you'll do: IC Program Leadership Own and drive 2–3 of the highest-priority programs across infrastructure while you build the team Run the actual programs—datacenter bring-up timelines, capacity scaling plans, infrastructure migrations, cross-team reliability efforts, or whatever the most pressing needs are Build the processes and playbooks as you go—figure out what works by doing it, then codify it for the team Earn credibility with engineering leads through solid execution, not just strategy Team Building & Development Set the standard for what good TPM work looks like in this domain through your own output Coach and develop TPMs Transition programs to your team as you hire Grow the team with excellent TPMs by defining roles, writing JDs, sourcing candidates, and closing hires Planning & Prioritization Work with various engineering leads to identify work that would most benefit from TPM support Make real tradeoffs about what to staff vs. what to skip given limited TPM capacity during the build phase Maintain portfolio-level visibility across programs—status, risks, dependencies, blockers Represent the team in planning cycles and leadership reviews Cross-functional Coordination Coordinate across Infrastructure and partner teams (Research, Product, Security, Finance, Legal) on programs that span organizational boundaries Drive alignment on programs that cross the hardware/software line—e.g., capacity plans that feed into training schedules, or efficiency work that spans accelerator kernels and serving systems Own executive communication on program status, risks, and resource needs You May Be a Good Fit If You: Have 10+ years of experience in technical program management, with 7+ years directly managing TPMs and ideally some experience leading larger TPM organizations Have built a team or function from scratch before—you know the difference between hiring for a defined role vs. figuring out what the roles should be Have scaled TPM teams to support rapidly-growing, fast-moving company environments Have worked across physical and software infrastructure—datacenters, networking, hardware ops, distributed systems, cloud platforms, developer tooling. You don’t need to be deep in all of it, but you need to be conversant enough to ask the right questions and spot the real risks. Have run large-scale compute or infrastructure programs—capacity planning, cluster deployments, datacenter build-outs, cloud migrations, or similar Can communicate complex programs clearly to senior leadership without losing the important details Are good at context-switching between doing the work and managing people, and don’t see the IC work as beneath you Are comfortable making staffing and prioritization decisions without perfect information Deadline to apply: None, applications will be received on a rolling basis. 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: $365,000 — $565,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As a Scale Growth Account Executive at Anthropic, you'll own a portfolio of roughly 6-8 of our most strategic and fastest-scaling AI-native startup customers, driving expansion and retention by helping them harness the transformative potential of safe, frontier AI. These are companies that build on Anthropic's models and are now scaling quickly — your job is to grow with them. You'll leverage your consultative sales expertise to expand revenue across complex, multi-stakeholder accounts while becoming a trusted strategic advisor to founders and executive teams, helping them expand their AI capabilities and unlock new use cases. Working closely with GTM, Applied AI, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong commercial acumen with executive relationship management skills, focusing on growing large accounts through strategic expansion while maintaining high retention rates in a competitive market. By driving expanded deployment of Anthropic's products at the companies defining what AI-native looks like, you will help them scale their AI capabilities while advancing its safe and ethical development. Responsibilities: Drive revenue growth through strategic account expansion and renewals across a focused portfolio (~6-8) of Anthropic's largest AI-native startup customers. Own the full sales cycle for upsell and renewal opportunities while maintaining strong retention rates Build and maintain trusted relationships with founders, board members, and executive stakeholders, as well as the technical leaders (CTO, VP Engineering, Head of AI) who own model decisions Lead strategic account planning including executive business reviews, health checks, usage and forecast reviews, and renewal negotiations Partner with customers to identify new use cases, workloads, and products that expand their AI capabilities with Anthropic Navigate complex commercial conversations — multi-stakeholder deals, evolving usage patterns, and competitive evaluations — in partnership with Applied AI and product teams Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap Develop and execute account strategies that align Anthropic's solutions with customer business objectives Proactively identify and mitigate retention and competitive risks while maintaining high customer satisfaction Must Have Qualifications: 11+ years of experience in sales or account management roles, with a proven track record of growing large, complex accounts and exceeding retention and expansion targets Success as a strategic business advisor to founders and executives, deeply understanding fast-scaling startup needs and creating solutions that align with their vision Experience managing complex, multi-stakeholder sales cycles, working with technical stakeholders, and negotiating strategic deals Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to founders and C-level executives Analytical approach to understanding customer needs and usage combined with creative solutions to drive expansion A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly Experience running executive business reviews and managing executive relationships Track record of consistently meeting or exceeding quota in fast-paced environments Preferred Qualifications: Experience selling or expanding usage- or consumption-based API, infrastructure, or developer-platform products Experience selling to technical founders, CTOs, and engineering leaders at AI-native or developer-first companies Fluency in the LLM/AI market — model providers, capabilities, pricing models, and how AI-native companies evaluate and switch between them Experience structuring larger commercial agreements (usage commitments, multi-year terms, enterprise contract terms) with fast-growing customers 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: $290,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re looking for a Senior Business Systems Engineer to own and evolve Ramp’s Quote-to-Cash systems. You’ll build and maintain Ramp’s Salesforce-based quoting platform, contract workflows, and Billing/Core integrations that turn complex commercial agreements into accurate, supportable customer outcomes—from quote creation and approvals through order forms, provisioning, billing, renewals, and amendments. This is not a Salesforce CPQ implementation role. Ramp uses an in-house Quote-to-Cash platform built on Salesforce, so we’re looking for a strong Salesforce engineer with experience in quoting, pricing, contracts, billing, subscriptions, or other complex commercial workflows. This role sits in Growth Engineering’s Business Systems Engineering team and partners closely with Deal Desk, Legal, Finance, Billing Engineering, Product, and GTM teams. You’ll combine hands-on Salesforce engineering with systems design and strong commercial judgment to make high-stakes revenue workflows reliable, scalable, and easier for teams to use.     WHAT YOU’LL DO - Design, develop, test, and deploy applications on the Salesforce Platform. - Design, build, and operate Ramp’s Salesforce-based Quote-to-Cash platform and the integrations between Salesforce, Ironclad, Billing/Core, and adjacent business systems. Own data contracts, idempotency, error handling, reconciliation, and safe lifecycle changes for quotes, contracts, and subscriptions. - Design, develop, and maintain integration solutions using in-house services and approved automation platforms. - Drive architecture, tooling, and design decisions that keep commercial systems fast, reliable, and scalable. - Write and communicate technical specifications, including architecture diagrams, data models, process flows, and sequence diagrams. - Own data integrity and the operating assumptions for your domain; continually improve them. - Partner with the rest of the team on code reviews, operational support, debugging, and solution design. WHAT YOU’LL NEED - 7+ years building applications on the Salesforce Platform. - 5+ years of systems architecture and integration experience. - Strong hands-on experience with Apex, triggers, Lightning Web Components, Flows, and asynchronous processing. - Working knowledge of another programming language, such as Python. - Strong API and integration-design skills, including reliable handling of retries, duplicate events, partial failures, and data reconciliation. - Experience with Quote-to-Cash domains such as quoting, pricing, approvals, contract lifecycle management, billing, subscriptions, renewals, or amendments. Experience with Salesforce CPQ is welcome but not required. - Familiarity with the broader GTM stack beyond Salesforce, such as Gong, LeanData, contract lifecycle management, billing, or revenue systems. - Strong knowledge of synchronous and asynchronous integration patterns, streaming APIs, and publish/subscribe architectures. - Working knowledge of data pipelines, CI/CD, Salesforce platform limits, code coverage, and unit-testing practices. - Excellent written and verbal communication skills, including the ability to translate complex commercial requirements into simple, durable system behavior with non-engineering partners. - Experience using AI-assisted development tools thoughtfully and evaluating their output. NICE TO HAVES - Snowflake/DBT - Kafka experience - Experience with Agile methodologies 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Research Legal team, you'll advise on legal topics across the full lifecycle of building and studying frontier AI models: data acquisition and use, training pipelines, model evaluation and launch, and alignment, interpretability, model welfare, societal impacts, and beneficial deployments research, as well as Responsible Scaling Policy work on biological risk. You'll be a subject matter expert on copyright, privacy, data use, and AI regulation (including the EU AI Act, U.S. state laws, and emerging global rules), and will work directly with researchers on questions that often have no settled answer. The ideal candidate will have navigated complex legal questions at the intersection of machine learning, data, and academic research in a fast-moving technical environment, with the judgment to work at the cutting edge of AI development while effectively solving issues, enabling innovation, and calibrating risk. This is a uniquely positioned role touching many different facets of AI, presenting the opportunity to be a leader in AI legal thought. Key responsibilities Advise research and data teams on data sourcing, licensing, partnerships, and use, and help shape Anthropic's data acquisition and use strategy as laws and markets evolve Help coordinate regulatory readiness and model launches, review model documentation and system cards, respond to regulatory inquiries, and advise on legal questions for pre-release and internal models Support the Responsible Scaling Policy as applied to biological and chemical risk, including capability evaluations, tiered access for biosecurity researchers, and dual-use research questions Counsel the Societal Impacts, Economic, Alignment, Interpretability, Model Welfare, and Beneficial Deployments teams on research design, data collection and sharing, external collaborations, program launches, and publication review Monitor global AI, privacy, copyright, and export-control developments and translate them into practical internal guidance and policy, working closely with Product, Policy, and other legal stakeholders Engage with academics, regulators, industry groups, and civil society to help develop norms and best practices for responsible AI development and data governance Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based (California or New York preferred) Practical, creative problem-solving: the ability to apply legal requirements to fast-changing, deeply technical work, with an understanding that the goal is to enable responsible research and product development in a risk-calibrated environment Exceptional communication and analytical skills, technical fluency, and the ability to navigate ambiguous and uncharted legal territory, turning complex technical and legal analysis into advice people can act on Familiarity and comfort advising on the EU AI Act, U.S. legislation and AI frameworks, GDPR/CCPA, and comparable regimes globally, sometimes where no AI-specific legislation exists Interest in thinking deeply about the impact of AI on society and how to make humanity's transition to the AI age as beneficial as possible Sound judgment about when to be flexible and when to hold a line; comfort making high-stakes calls in unsettled areas and outside your core expertise; and a low-ego, collaborative approach, doing the work needed rather than delegating it or being territorial Preferred qualifications At least 8 years of legal experience advising technology companies on copyright, privacy, data, AI regulation, and related product and policy issues, ideally including time in-house and work on AI/ML products or services Experience engaging directly with regulators or standards bodies Working technical literacy: enough familiarity with how models are trained, evaluated, and deployed to ask researchers and engineers the right questions and spot the legal issues in a technical design An academic or publishing background, or experience with copyright, open-source, and data licensing Experience with biosecurity, dual-use research, export controls, or safety frameworks such as Anthropic's Responsible Scaling Policy Experience advising on academic or industry research, including publications, external collaborations, data sharing, or human-subjects and consent questions, ideally in AI or an adjacent technical field Role-specific policy: We prefer candidates who can work from our San Francisco or New York office at least 3 days a week, but may consider other locations for the right candidate. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Washington DC WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Account Executive on Harvey's State & Local team, you will own a multi-state territory of state Attorneys General offices, state agencies, judiciaries, and large county and municipal legal departments. These are substantial legal organizations — a single state AG office can run to hundreds of attorneys — and almost none of them are using AI today. Compared with federal, the territory is broader and higher-velocity: more accounts, more procurement variation across jurisdictions, and paths to direct purchase that can move faster than the federal cycle. You will run the full cycle and help define how Harvey sells to government at the state level. WHAT YOU'LL DO - Own a named multi-state territory of AG offices, state agencies, judiciaries, and large local government legal departments, running the full cycle from prospecting through contracting and expansion. - Achieve and exceed revenue targets while managing a higher account volume than a federal book. - Map the procurement path per jurisdiction — competitive solicitation, state tender panels, cooperative purchasing vehicles, or direct purchase under a legal services or professional services exemption. - Multi-thread across Attorneys General and deputies, general counsel, division heads, state CIO and CISO organizations, and procurement officers. - Work against state fiscal calendars and legislative budget cycles, which vary by jurisdiction. - Build reference strength deliberately — state government buys heavily on peer proof, so early wins must be turned into referenceable stories. - Document learnings into a repeatable state and local playbook. WHAT YOU HAVE - 5+ years selling complex enterprise software, with a meaningful portion of that time carrying a state, local, or education quota. - Closed SLED deals yourself, and can speak specifically to how you got them through procurement. - Comfort operating across multiple jurisdictions with genuinely different procurement rules, rather than treating SLED as one market. - Ability to manage a broader book with more concurrent cycles and a lower average deal size than federal. - Strong detail discipline around solicitations, deadlines, and security documentation. - Genuinely excited to prospect, and capable of independently running a cycle end to end. - Strong consultative, value-based selling instincts, and the ability to explain technical concepts to non-technical audiences. - Demonstrated interest in AI and in helping government lawyers do their work better. COMPENSATION $400,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AD2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Germany; Portugal; Poland; Ireland; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to own the forward-looking financial plan for the top and mid funnel of n8n’s commercial engine, helping Marketing leadership make sharper investment decisions across both our PLG and SLG motions. To do so, you’ll turn demand, funnel, and marketing investment decisions into an integrated financial view that leadership can act on: OWN MARKETING PLANNING & FORECASTING - Drive n8n’s annual planning and regular forecasting process for Marketing end to end, from top-down targets and cross-functional alignment through regional segmentation, budget ownership, and consolidation into the company plan. - Partner with Marketing budget owners across demand generation, brand, community and DevRel, product marketing, and events to set budgets, forecast spend, and sharpen investment trade-offs. - Own program spend with the same rigor as headcount, including agency and media contracts, event and sponsorship commitments, phasing, seasonality, and in-year reallocations. MODEL FUNNEL & CHANNEL ECONOMICS - Model demand creation, signup and MQL volume, activation, qualified opportunity, conversion, and velocity with Marketing Ops and RevOps across both PLG and SLG motions. - Translate funnel and channel levers into the demand assumptions behind n8n’s integrated top-line model and quantify the financial impact and trade-offs of changing them. - Assess CAC and payback, conversion, pipeline contribution, and expected versus realized ROI using attribution, incrementality testing, and other causal methods where appropriate. BUILD A RIGOROUS MARKETING INVESTMENT FRAMEWORK - Establish a repeatable process for material marketing bets covering hypothesis, baseline, expected return, confidence range, leading indicators, scale-or-stop triggers, and post-investment review. - Build and defend investment cases for brand, community, content, events, and other spend that does not attribute cleanly to closed revenue. - Use internal evidence, external benchmarks, and post-investment learnings to drive in-year reallocations toward the highest-impact opportunities. TURN DATA INTO DECISIONS - Partner with Marketing Ops, RevOps, Data, and Controlling to keep the financial view aligned with n8n’s attribution, measurement, and reporting frameworks. - Own the financial metric definitions behind Marketing reporting and ensure teams are operating from a consistent view of performance. - Turn financial reporting and variance analysis into tangible insights and recommendations for Marketing leadership, executives, and board-level audiences when needed. REQUIREMENTS MUST-HAVES - 📊 FP&A experience: You have 7+ years of experience in FP&A or strategic finance, ideally in a fast-paced technology or B2B SaaS environment. - 🗂️ Complex planning experience: You have led complex, multi-entity, multi-stakeholder annual planning, budgeting, and forecasting processes end to end. - 🤝 Marketing business partnering: You have deep demand-side finance partnering experience in either a self-serve/PLG funnel or an enterprise/SLG demand generation motion, plus a strong working understanding of the other. - 📈 Funnel and channel economics: You are fluent in CAC and CAC payback by channel and motion, blended versus paid CAC, CLV/CAC, pipeline attribution, funnel conversion, and velocity. - 🧭 Judgment on unattributable spend: You have built and defended investment cases for brand, community, content, or similar spend that will never attribute cleanly to a closed deal. - 💶 Program spend ownership: You are comfortable owning a budget weighted toward program spend, including commitments, phasing, agency costs, vendor economics, and reallocations. - 🧮 Financial modeling: You build sophisticated, integrated financial models that remain robust as assumptions, scenarios, and operating inputs change. - 🗣️ Executive communication: You translate complex analysis into clear recommendations and are comfortable presenting to Marketing leadership, executives, and board audiences when needed. - 🤖 AI- and automation-first mindset: You naturally use AI and automation platforms such as n8n to improve the quality, speed, and repeatability of your planning, reporting, and analysis. NICE-TO-HAVES - 🔄 PLG + SLG fluency: You have deep experience across both product-led and sales-led demand motions rather than primarily one. - 🧑‍💻 Developer-focused environment: You have worked at a community-led, open-source, or developer-focused product company. - 🧪 Incrementality & experimentation: You have exposure to incrementality testing, holdout design, or marketing mix modeling. - 🛠️ Marketing & RevOps tooling: You have experience consuming data from tools such as HubSpot or Marketo, GA4, attribution platforms, and Salesforce. - 📋 Planning platforms: You have worked with financial or headcount planning platforms such as Pigment in complex, multi-entity, or multi-stakeholder environments. - 🧑‍🔬 Data self-sufficiency: You are comfortable using SQL and building your own views in tools such as Looker, Metabase, or Hex rather than waiting on a Data team. - ⚙️ Relevant SaaS domain experience: You have worked in workflow automation, developer tools, or infrastructure SaaS. Why join us? At n8n, you’ll own the financial view of one of the most important joins in our growth engine: where community, product-led adoption, and enterprise demand generation meet. You’ll work closely with Marketing leadership and counterpart FP&A Managers covering the PLG and SLG bottom of funnel, giving you visibility across the full commercial plan and real influence over how we allocate one of our largest discretionary investments. You’ll join a fast-growing, remote-first company where finance is expected to help shape decisions, not simply report on them. As n8n expands the opportunity around AI agent orchestration and helps businesses unlock measurable ROI through automation, you’ll help build the planning discipline, investment frameworks, and automation-first finance practices that support our next stage of growth. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is looking for a Senior Staff Software Engineer to take on a critical role in defining and leading technical excellence across core consumer experiences at Affirm, starting with Marketplace and Search. You’ll collaborate with engineering leaders, create and implement technical strategy across full-stack teams, and coordinate closely with stakeholders to build scalable, reliable, and high-performing solutions. You'll help shape best practices, guide architectural choices, and drive the successful delivery of critical initiatives. This role requires a high level of technical ability, leadership and project management skills, strong cross-functional communication, and a customer-first mindset. You will be responsible for building and developing the technical strategy to unlock large-scale product features, building trust and accountability, and upholding technical excellence for our Marketplace domain within our engineering org. The Marketplace domain is the main pillar of our core consumer strategy, driving the user journey across the Affirm ecosystem on iOS, Android, and Web platforms. The teams span across multiple products and areas to engage and provide value to our customers, starting with the initial landing page and Search, which expands into the various product offers and journeys a user can embark on with Affirm. What You'll Do Lead the vision – Define the technical direction, long-term technical roadmap, and strategic initiatives in Marketplace, Search, Ads Platform, and App Experiences Work closely with stakeholders across all teams at Affirm to champion and implement technical excellence in conjunction with business results across all consumer facing experiences Create and influence a strong ownership culture across teams, with high accountability and investment for building for scale and efficiency Guide and deliver critical user experiences that deliver customer value quickly and reliably Design, implement, and extend core platform components and functionality to enable new products and features to be built Architect and contribute to decisions on the right platform, tools, and technologies to support consistency and reliability Mentor and lead – Guide a strong group of engineers by championing best practices, and helping them grow What We Look For 10+ years of experience working across the stack, driving architectural improvements in the backend. Bonus points using languages like React Native, Javascript, or Kotlin. Track record of successfully leading critical projects and leveraging multiple engineering teams across organizational boundaries for company-wide results Extensive experience developing and implementing technical strategy that drove prominent change in reliability and responsiveness Previous project management or people management experience: You know how to influence, effectively communicate, and coach others You embody an ownership mindset and help influence a similar culture to those around you Collaborative partnership across engineering teams and cross-functional stakeholders You have a customer-first mindset: wanting to create the best-in-class experience for our customers, and understand how that translates into the right technical decisions You thrive in the ambiguity, and are comfortable diving into code and systems to understand how they work, potential dependencies, and how to constantly improve You have strong verbal and written communication skills that can help influence and share critical decisions with stakeholders This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000 USA base pay range (all other U.S. states) per year: $236,000 - $296,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Ireland, Dublin 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. Department overview: We are establishing and growing a new engineering team in Dublin that contributes to the client technologies powering PlayStation experiences used by millions of players worldwide. Our team develops SDKs, middleware, and platform technologies that enable scalable and reliable experiences across the PlayStation ecosystem. While our primary focus today is SDK and platform development, the team is expected to evolve alongside business and product needs, creating opportunities to work across multiple technical domains. As an early member of the team, you will help shape the technologies we build, the engineering practices we follow, and the future direction of a growing organization while collaborating closely with teams in Tokyo and across the globe. What you’ll be doing: Design, develop, test, and maintain client-side SDKs, middleware, and system software primarily using C/C++ Contribute to the design and implementation of SDK and platform capabilities Develop clean, maintainable, and well-documented APIs that improve developer experience and simplify integration Analyze product requirements and translate them into technical designs and implementation tasks Own features and components from implementation through delivery, ensuring quality, reliability, and maintainability Collaborate closely with Product Managers, Technical Program Managers, Quality Engineering, and global engineering teams Debug, troubleshoot, and resolve technical issues related to functionality, performance, and reliability Participate in design reviews, code reviews, and continuous improvement of engineering practices Contribute to SDK documentation, sample applications, developer tooling, and integration guidance Support the development and adoption of platform technologies across multiple products and teams What we are looking for: Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience 3+ years of professional experience developing production software using C/C++ Experience developing SDKs, frameworks, middleware, client applications, or other complex software systems Solid understanding of object-oriented design, software architecture principles, APIs, and software engineering best practices Experience working with client/server architectures, networking technologies, distributed systems, or platform services Strong problem-solving, debugging, and troubleshooting skills Experience working collaboratively within cross-functional engineering teams Effective written and verbal communication skills Ability to work independently while contributing to team success Preferred Qualifications: Experience developing cross-platform SDKs, frameworks, or platform technologies Experience improving developer experience through tooling, documentation, automation, or platform enhancements Experience developing applications for iOS or Android platforms Experience with delivering production-quality mobile or desktop applications using React Native Experience with C#, JavaScript, or TypeScript Experience with CI/CD systems, build infrastructure, or release engineering Experience working closely with Quality Engineering teams to improve testability and release quality Familiarity with Agile software development methodologies 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 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. €69.500 — €104.300 EUR 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 (where applicable) 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: Ireland, Dublin 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. Department overview: We are establishing and growing a new engineering team in Dublin that contributes to the client technologies powering PlayStation experiences used by millions of players worldwide. Our team develops SDKs, middleware, and platform technologies that enable scalable and reliable experiences across the PlayStation ecosystem. While our primary focus today is SDK and platform development, the team is expected to evolve alongside business and product needs, creating opportunities to work across multiple technical domains. As an early member of the team, you will help shape the technologies we build, the engineering practices we follow, and the future direction of a growing organization while collaborating closely with teams in Tokyo and across the globe. What you’ll be doing: Design, develop, test, and maintain client-side SDKs, middleware, and system software primarily using C/C++ Lead technical design discussions and drive architecture decisions for SDK and platform capabilities Design clean, scalable, and maintainable APIs that simplify integration and improve developer experience Analyze product requirements and translate them into robust technical designs and implementation plans Own complex features from design through delivery, ensuring quality, reliability, and maintainability Collaborate closely with Product Managers, Technical Program Managers, Quality Engineering, and global engineering teams Partner with engineering teams in Tokyo and other global locations to drive technical alignment and deliver shared platform capabilities Identify, analyze, and resolve challenging technical issues related to performance, scalability, reliability, and maintainability Review designs and code while providing technical leadership, mentorship, and guidance to other engineers Drive engineering excellence through improvements to development processes, branching strategies, release quality, and operational practices Contribute to SDK documentation, sample applications, developer tooling, and integration guidance Support adoption and evolution of platform technologies across multiple products and teams What we are looking for: Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience 7+ years of professional experience developing production software using C/C++ Experience designing and developing SDKs, frameworks, middleware, or complex client-side software systems Strong understanding of software architecture, object-oriented design, API design, and software engineering best practices Experience working with client/server architectures, networking technologies, distributed systems, or platform services Experience leading technical initiatives and influencing architecture or design decisions Strong problem-solving, debugging, and performance optimization skills Experience collaborating effectively in cross-functional and globally distributed engineering organizations Excellent written and verbal communication skills Ability to mentor engineers and positively influence technical direction within a team Preferred Qualifications: Experience developing cross-platform SDKs, frameworks, or platform technologies Experience improving developer experience through tooling, documentation, automation, or platform enhancements Experience developing applications for iOS or Android platforms Experience with delivering production-quality mobile or desktop applications using React Native Experience with C#, JavaScript, or TypeScript Experience with CI/CD systems, build infrastructure, or release engineering Experience working closely with Quality Engineering teams to improve testability and release quality Familiarity with Agile software development methodologies 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 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. €87.800 — €131.800 EUR 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 (where applicable) 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: Washington DC Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Account Executive on Harvey's Federal team, you will own a named list of United States federal agencies and drive adoption of Harvey across their legal organizations. Federal legal work — litigation, investigations, FOIA, procurement, and regulatory drafting — is exactly the work Harvey is built for, and the agencies doing it are largely untouched by AI today. You will run the full cycle: prospecting into agency general counsel and component leadership, navigating security review and authorization, selecting the right procurement path, and closing. This is an early seat on a new team, so you will help write the playbook as you sell. WHAT YOU'LL DO - Own a named list of federal agencies and components, and run the full sales cycle from prospecting through contracting, onboarding, and expansion. - Achieve and exceed revenue targets and pipeline generation metrics. - Multi-thread across agency general counsel, component leadership, CIO and CISO organizations, and contracting officers. - Select and drive the right procurement path for each opportunity — direct award, GSA schedule, GWAC, OTA, or reseller — in partnership with the Head of Public Sector. - Own the security review workstream with Harvey's Security and Compliance team, including FedRAMP artifacts and agency-specific questionnaires. - Plan and execute against the federal fiscal calendar. - Run product demonstrations for agency legal teams and translate Harvey's capability into mission outcomes. - Document learnings into a repeatable federal playbook. WHAT YOU HAVE - 5+ years selling complex enterprise software, with a meaningful portion of that time carrying a federal quota. - Closed federal deals yourself, through at least one of direct award, GSA schedule, GWAC, OTA, or reseller channel. - Practical experience navigating agency security review and authorization. - Fluency with the federal buying calendar and the ability to manage a cycle that spans it. - Exceptional detail discipline. Federal deals are lost on paperwork, security questionnaires, and missed procurement windows, not on demos. - Genuinely excited to prospect, and capable of independently running a cycle end to end. - Strong consultative, value-based selling instincts, and the ability to explain technical concepts to non-technical audiences. - Demonstrated interest in AI and in helping government lawyers do their work better. NICE TO HAVE - Existing relationships in federal agency legal or CIO organizations. - Prior experience selling into legal departments or to law firms. - Experience at a company that achieved FedRAMP authorization while you were selling there. COMPENSATION $400,000 USD; OTE 50/50 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AD2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE Peec AI is building the data plane for AI visibility: millions of chats, scrapes, citations, sources, model responses, and customer-facing insights running through a fast-moving backend. This role is for an engineer who wants to own the systems behind that. You will not just add endpoints or close tickets. You will make our scraping, chat-processing, source-ingestion, and analytics infrastructure more reliable, cheaper, faster, and easier for the rest of the team to reason about. The best fit looks like someone who can debug a provider outage in the morning, design a better queueing model before lunch, ship a TypeScript service change in the afternoon, and write the postmortem or follow-up ticket clearly enough that the next engineer immediately knows what to do. We are especially interested in people who have built or operated systems with real constraints: rate limits, flaky third-party APIs, queues, webhooks, retries, distributed locks, data migrations, observability gaps, customer pressure, and cost ceilings. WHAT WE’RE LOOKING FOR - 5+ years of backend, platform, infrastructure, or distributed systems engineering experience in a production environment. - Deep hands-on TypeScript experience. We run TypeScript services on Bun, and we care about people who can design clean, reliable backend systems rather than only write application code. - Strong understanding of queues, workers, retries, rate limits, idempotency, distributed locks, webhooks, and failure handling. - Experience operating systems under real production pressure: incidents, provider outages, customer escalations, noisy alerts, slow dependencies, and incomplete data. - Comfort with cloud-native infrastructure. Our stack includes GCP, Kubernetes, Cloud Tasks, Pub/Sub, RabbitMQ, Redis, Postgres, Firestore, ClickHouse, Prometheus, Grafana, and OpenTelemetry. - Ability to debug across layers: application code, logs, metrics, queues, provider APIs, databases, network behaviour, and deployment state. - Product-minded judgement. You can separate internal detail from customer-safe explanation, and you understand when a “small infra change” has customer, security, or cost implications. - High ownership and low ego. We want people who take responsibility for ambiguous systems, ask sharp questions, and make the team better through clear thinking and kindness. - A bias toward durable fixes. You do not stop at “restart the pod” if the real issue is retry amplification, missing backpressure, an unsafe parser assumption, or a provider limit we do not model. TECH STACK - Languages: TypeScript, Python - Runtime/frameworks: Bun, Elysia, Node-compatible services - Cloud/infrastructure: GCP, Kubernetes, Cloud Tasks, Pub/Sub, Firebase/Firestore, Postgres, ClickHouse, Redis, RabbitMQ - Observability: Prometheus, Grafana, OpenTelemetry, structured logging - Product/data domain: LLM chats, AI search, source scraping, citation extraction, provider integrations, customer-facing analytics - AI/model providers: OpenAI, Anthropic/Claude, Perplexity, Gemini, Google AI Mode / AI Overview, plus scraping/provider APIs around them WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Washington, DC 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 is seeking a partnerships leader to own the tri-party motion for public sector and nonprofit partnerships selling through AWS. Public sector and nonprofit-focused partners are how Claude reaches government agencies, educational institutions, and mission-driven organizations at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems. In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's public sector partner organization and the AWS practices inside the partners that serve government and nonprofit customers. You will define how Claude is positioned inside AWS public sector partner programs, design the commercial mechanics that let partners transact and get rewarded through procurement vehicles and contract structures specific to this segment, and build the joint plays that partners take to their customers. This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don't always line up. You will help shape how frontier AI technology reaches the public sector and nonprofit community through the partner ecosystem, including in classified environments where required. You will report directly to the Head of AWS GTM Partnerships and work closely with our Global Public Sector Leader. Key responsibilities Develop and execute the GTM strategy for our public sector and nonprofit partnerships through AWS, including co-selling motions, joint business plans, events, and segment-specific plays across federal, state and local, education, and nonprofit Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, procurement and contract vehicle alignment, and incentives Build and maintain executive-level relationships across AWS's public sector partner organization and across partner AWS practice leadership Work with partners to develop repeatable, mission-specific solutions built on Claude, and help them build the delivery capability to take those solutions to public sector and nonprofit customers Partner cross-functionally with Anthropic's alliances, public sector sales, partner marketing, policy, and regional cloud teams to keep the motion consistent while regions and segments execute locally Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting Provide strategic market intelligence and competitive insights on the public sector and nonprofit partner ecosystem to inform product and commercial strategy Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there Minimum qualifications Active security clearance (TS/SCI required) with ability to discuss capabilities in classified environments Enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems serving public sector or nonprofit customers Proven track record of building and scaling partnerships with public sector-focused systems integrators, resellers, or channel partners Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it Deep understanding of how cloud and partner field organizations operate in the public sector, including procurement processes, contract vehicles, and the incentives that drive seller and partner behavior Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it Demonstrated ability to build credibility with and influence senior stakeholders Excellence in strategic planning, business operations, and program management Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin Experience working with technical products and translating complex capabilities into business value Ability to travel up to 25% of the time Preferred qualifications 12+ years of enterprise partnerships, alliances, or business development experience Previous experience working with AWS or another hyperscaler's public sector partner organization Working knowledge of public sector partner operating models, including practice structures, delivery economics, and how services and contract revenue drive partner decisions Familiarity with government compliance and authorization frameworks (such as FedRAMP, IL levels, and StateRAMP) and how they shape partner-led deployments Experience working with nonprofit, higher education, or philanthropic organizations and the funding dynamics that shape their technology decisions Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue Prior experience in management consulting or federal program management 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: $365,000 — $425,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Poland; United Arab Emirates; Brazil; Argentina; Spain; Serbia Imunify360 is a leading developer of Linux infrastructure and security solutions. Our flagship product, Imunify360, is a comprehensive security suite that protects thousands of shared hosting environments, VPS, and dedicated servers worldwide. Our clients include industry giants such as Dell, GoDaddy, IBM, and Zoom, with over 4,500 customers globally. The company has more than 250 employees. We are looking for an engineer-architect to build a new product from scratch . This is not a position within an existing team—you will single-handedly create a runtime protection layer for Node.js applications. The hosting market is rapidly adopting Node.js, and modern applications are increasingly generated by users with AI tools and little technical security expertise. Your mission is to make protection automatic, transparent to client code, and effective in real time. This is a role with the highest level of ownership (Senior / Staff / Architect level), where you will make key architectural decisions and take full responsibility for the outcome. Responsibilities Define the technical approach for building runtime protection inside the Node.js process. Design the detection logic to identify and block attacks during application execution. Build and launch the first version of the product in real production environments. Ensure the protection works without requiring changes to client code and without breaking legitimate applications. Continuously improve the product based on telemetry, production feedback, and real-world incidents. Achieve target values across four key metrics: Runtime overhead False positives False negatives Customer escalation volume Requirements The top priority is Security, not just Node.js. Security experience outweighs general backend tenure. Must-have: Experience in Security Engineering or Security Research (deep understanding of attack vectors and defense methods). Have independently built and shipped a product/solution from scratch (end-to-end ownership: from idea to production). Ability to take an ambiguous problem, define a solution, and deliver a working result without constant supervision. Experience designing architecture and making key technical decisions (Staff/Architect level is a strong plus). English language: Intermediate or higher (written and spoken — all interviews are conducted in English). Nice-to-have: Security experience specifically in the context of Node.js (vulnerability analysis, securing, researching Node.js applications). Experience with Linux in production and development environments. Knowledge of Runtime Protection, WAF, instrumentation, malware analysis, and Incident Response. Experience in managed hosting / VPS domains. Experience with AI coding agents (Copilot, Cursor, etc.). Important: If you are a Security Engineer / Researcher who doesn't code on a daily basis, you must be comfortable using AI-assisted development tools and be capable of building an MVP with their help. Who you are (mindset): Builder: You genuinely enjoy creating something new and seeing it run in production. High ownership: You don't wait for tasks to be assigned — you define the approach and own the results. Practioner: You write code (yourself or with AI), not just review and coordinate. You understand Detection Engineering — how detection rules behave at scale across thousands of servers and the true cost of false positives. We do NOT consider candidates who: Have only theoretical or research experience without shipping real products. Have general Node.js development experience but lack a security component. Reside in countries with complex B2B tax reporting requirements (USA, UK, Canada, Germany, France, and others — to be clarified during screening). Have frequent job changes (every 1–2 years) without valid reasons. Benefits Format: 100% remote work anywhere in the world. Legal setup: B2B only (contract with your sole proprietorship or company). Budget: Up to $12,000 gross/month (before taxes, under a B2B agreement). Company: A stable, established international product company with 15+ years in the market. Role: A key position in building a new product line from the ground up.

Location: Bogotá, Colombia; Mexico City, Mexico; Panama City, Panama; Brazil Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the insurance industry is required Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills are a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: San Francisco; New York City Workplace: Hybrid Perplexity is revolutionizing how companies get work done. We are seeking a Virtual Events Manager to build the channel that shows people what our products can do and teaches them how to use them. You will develop a deep working knowledge of our products, turn that knowledge into compelling live experiences, and own the programs that convert audiences into active users and qualified pipeline. This role has two sides. You are a charismatic host and product storyteller who can command a virtual room, and you are the operator who keeps every event on the rails. You will find and prepare the right experts from across Perplexity, work with Growth to build the audience, and measure whether each program produced a real business return. If you have a passion for understanding how things work, thrive in taking something complex and making it engaging, and want to build a world-class virtual events engine from the ground up, this role is for you. RESPONSIBILITIES - Know the product cold. Develop a deeper working knowledge of our products than anyone else in events, using new features as they ship, building the workflows yourself, and staying close to the teams that built them. - Own virtual events end to end. Run the channel from program strategy and calendar planning through event briefs, speaker staffing, rehearsals, live production, follow-up, and retros. Build a reliable portfolio of onboarding programs, product launches, feature deep-dives, customer conversations, and use-case workshops. - Bring the product to life. Host, moderate, present, and demonstrate the product live with energy and clarity. Turn complex capabilities into specific, accurate stories that audiences can understand and put to work. - Find and prepare the right people. Build relationships across Product, Engineering, Research, Sales, Customer Success, Partnerships, and Marketing to identify the strongest speakers and subject-matter experts for each program. Brief them thoroughly, sharpen their stories, and make sure they are ready to deliver. - Build the audience. Partner with Growth, Lifecycle, Social, Comms, Sales, and Customer Success on full-funnel promotion plans that drive qualified registrations. Track pacing closely, identify gaps early, and run experiments across audience, creative, channel mix, timing, and follow-up. - Turn every event into an engine. Extend the value of each program through recordings, replays, clips, FAQs, demo flows, education materials, and sales follow-up. Build formats and templates that make the next event faster and better. - Measure outcomes, not just outputs. Instrument the funnel from registration through attendance, engagement, product activation, qualified pipeline, and revenue. Track cost per registration, cost per attendee, cost per qualified attendee, sourced and influenced pipeline, and channel ROI, then use the findings to improve the portfolio. - Build the operating system. Create the intake process, master calendar, production checklists, run-of-show templates, speaker bench, readiness gates, contingency plans, scorecards, and reporting cadence required to scale the channel without lowering quality. QUALIFICATIONS - 3+ years of experience in virtual events, product marketing, customer education, demand generation, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title. - Proven ability to learn technical products deeply and translate complex capabilities into simple, specific, and accurate live demonstrations. - A polished, credible on-camera presence, with experience hosting, interviewing, moderating, or presenting to professional audiences. - Strong cross-functional instincts and the ability to find, recruit, brief, and coordinate busy experts without relying on formal authority. - Full-funnel growth fluency, including registration strategy, audience segmentation, campaign testing, conversion, and post-event nurture. - Analytical rigor, with experience defining channel metrics, working with CRM and marketing automation data, and calculating return on investment. - Excellent production judgment and attention to detail, including rehearsals, technical readiness, live moderation, and fallback planning. - High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THIS ROLE THE DATA SCIENCE TEAM AT STRAVA WORKS ACROSS THE ORGANIZATION TO FIND SOLUTIONS TO THE HIGHEST-LEVERAGE, AND OFTEN THE MOST CHALLENGING, PROBLEMS FACING THE BUSINESS. WE USE MACHINE LEARNING, CAUSAL INFERENCE, AND MEASUREMENT SYSTEMS TO SYNTHESIZE STRAVA’S UNIQUE DATA ASSETS INTO MODELS, METRICS, AND RECOMMENDATIONS THAT OUR LEADERSHIP TEAM CAN ACT ON WITH CONFIDENCE. This is a strategic individual contributor role that works to link the efforts of our product and marketing teams to tangible outcomes for our athletes and for our business. You’ll develop novel scientific approaches to measuring out business, developing the necessary causal frameworks and models, and help teams develop and evolve our metric strategy to ensure development across the company points toward the highest-leverage outcomes We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week. WHAT YOU’LL DO: - Design measurement strategies for Strava's most complex initiatives, applying experimental and quasi-experimental methods (geo testing, difference-in-differences, IV, synthetic control, etc..) to quantify business outcomes - Expand Strava’s understanding of the relationship between user experiences and business performance and evolve org-wide metric strategies, connecting product development and marketing efforts to high quality results - Lead deep root-cause investigations into business and product performance, developing novel approaches for problems that don't have an established playbook. - Serve as a domain expert in inference for the data team horizontally, reviewing measurement designs and raising the bar for causal evidence quality across DS, Analytics, and cross-functional partners WHAT YOU’LL BRING TO THE TEAM: - 5+ years of experience in data science or a related quantitative domain with experience owning measurement strategies and employing both experimental and quasi-experimental methods - Depth in causal inference methods and their real-world failure modes, with the judgment to know when each approach is credible and when it isn't. - Strong SQL proficiency and comfort writing Python for statistical data processing - Python proficiency, with comfort writing production-quality code for statistical analysis and experiment tooling - Ability to communicate quantitative findings as a clear narrative to technical and non-technical partners in product, finance, and senior leadership For information on benefits, please click here. https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner’s products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner’s cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner’s security and HIPAA compliance obligations The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred) A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus) Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking Experience supporting AI/ML or data-intensive workloads in production is a plus Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is $191,000 - $226,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. THE ROLE Checkout.com http://Checkout.com is scaling a multi-cloud environment at pace, and security architecture is central to how we do it safely. As Senior Cloud Security Engineer, you'll work closely with Engineering, GRC, Technology Risk, and Security Operations to embed security into every design decision and to make sure we can see what's happening across the estate once it's live. You'll help embed security within the design phase and ongoing operations of our multi-cloud posture, define guardrails and policy-as-code standards, and support the strengthening of our SIEM and detection capability. You'll take on the most complex and ambiguous cloud security challenges in the business, and hold engineers to best practices. This isn't a tool-monitoring role. You're here to lead security-by-design, set best-practice standards, and raise the bar. What You'll Be Doing - Develop and enforce reference security architectures, patterns, and blueprints for secure cloud adoption across AWS, Azure, and GCP. - Conduct security assessments for new cloud services, defining preventative and detective controls (via security guardrails) to maintain secure posture and detect drift. - Partner with Engineering teams to embed security guardrails early in design, ensuring compliance and resilience without adding friction. - Evaluate engineering and platform architecture proposals, identifying security gaps and seeing remediation through to completion. - Document and uphold secure-by-design principles and architecture governance, and enforce policy-as-code frameworks aligned with NIST, CIS, and PCI DSS. - Set the monitoring scope and priorities for CNAPP/CSPM tooling (e.g. Wiz or equivalent), defining which misconfigurations and vulnerabilities matter most against CIS, NIST, and PCI DSS benchmarks, and holding engineering teams accountable to remediation outcomes. - Work with Security Operations to shape cloud logging and detection requirements, ensuring our SIEM has the right visibility across the estate. - Collaborate with senior stakeholders to articulate security risks and mitigations in terms that support business decision-making. Skills and Experience We're Looking For We're looking for someone with strong technical expertise and a genuine passion for security. Here's what we need: - Risk-based decision-making and adherence to regulatory and internal security standards (PCI DSS, NIST, SOC 2, ISO 27001, CIS). - Broad knowledge across security domains and their capabilities within AWS, Azure, and GCP, with 6+ years' hands-on experience and SME depth in at least one platform. - Kubernetes (EKS/AKS/GKE), API security, and IaC security (e.g. Terraform, CloudFormation, ARM templates). - Securing user and non-user access at scale, including Azure Policy and cloud-native IAM controls. - Demonstrated ability to provide clear, security-focused guidance, combined with excellent communication and senior-stakeholder engagement skills, and experience mentoring other engineers. Nice to Have - CISSP, CCSP, or equivalent certifications. - AZ-500, AWS Certified Security, Google Professional Cloud Security Engineer, or equivalent cloud security certification. - Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect. - Experience integrating ATT&CK Navigator into SOC workflows. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/