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Location: Sydney, Australia Riot Games Sydney is looking for an experienced Senior Software Engineer to join the Sydney-based VALORANT, Personalisation Team. As Software Engineers at Riot, we bring deep knowledge of specific technical areas and also value the opportunity to work in a variety of broader domains. We have a deep passion for helping to bring joy to players via technical solutions. As a Senior Software Engineer on the VALORANT Personalisation Team, you’ll build experiences that help players make the game their own, from customising their loadout to showcasing their favourite Agents and celebrating the rewards they’ve earned. You’ll bring features to life across PC and console, connecting Unreal Engine client experiences with the live services behind them. Working alongside designers, artists and fellow engineers, you’ll take features from technical discovery through launch, shape technical decisions, and solve the performance and reliability challenges that make these experiences feel great to use. Internal Job Title: Software Engineer II. You will report to the Engineering Manager of the Personalisation Team. Responsibilities: Design, build and deliver gameplay features and back end services for our players Lead projects with your teammates and in collaboration with other teams and disciplines Seek out and champion development process improvements Uphold a high standard of engineering excellence Provide mentorship to more junior members of the team Troubleshoot live service issues as part of an on-call rotation Required Qualifications: 4+ years experience in professional software development 3+ years professional experience with C++ and/or Unreal Experience collaborating on cross-team development efforts on software projects, including requirements gathering, planning and release - coordinating with relevant stakeholders across different disciplines Desired Qualifications: Bachelor's degree in Computer Science and/or equivalent experience Experience developing and shipping code in a real-time 3D environments (e.g. Unity, Unreal, Godot) Experience developing within gameplay systems for Unreal Engine games Experience with perforce and/or github version control systems Experience developing and shipping code for high load real time services Our Perks: At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: Medical Insurance that covers you and your dependents Employee Assistance Program Wellness fund Donation matching of time and money to registered charities Learning and Development opportunities At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Full Stack Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company rolls out Claude to 100,000 employees, the admin, governance, and management experiences you build are what their IT leaders, security teams, and end users touch every day. This is a high-agency role where the product questions are as open as the architecture ones: you'll help decide what these products are, not just how they're built, and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers, admins, and sales during key conversations, translating what you learn into engineering priorities Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale Mentor other engineers and raise the technical bar across the team, working with influence rather than authority You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex customer-facing products across the full stack Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility) Experience building AI products and turning model capabilities into applications people actually use Experience as startup founders or early-stage employees The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Barcelona, Spain; Limassol, Cyprus Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE*, we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. Role Overview As a Partnership Specialist at Colibrix One, you will support and manage our relationships with partners across the fintech ecosystem. You’ll handle daily communication, assist with operations and integrations, and make sure partners have everything they need to work effectively with us. Key Responsibilities Maintain strong, ongoing relationships with partners Work closely with partners to ensure smooth daily operations Oversee the technical processes involved in partner integration Monitor and improve key metrics (e.g., conversion rate) and report progress to senior management Identify opportunities to expand cooperation through upselling and cross-selling Collaborate with internal teams daily to manage partner-related operations Keen to explore product acquisition and gain a clear understanding of the payment flow Represent the company at events and contribute to attracting new partners Requirements Technical understanding of how payment systems work, including payment flows and acquiring in general Experience in B2B partnerships within fintech, ideally with acquirers or PSPs Understanding of high-risk industries (gambling, crypto, etc.) Strong negotiation and relationship-building skills Proven ability to manage complex partner accounts and operations with attention to detail Proactive, responsible, and able to work independently as well as collaboratively Strong organizational and system-thinking skills Fluent in English and Russian (proficiency in additional languages is considered an asset) What We Offer Opportunity to shape the future of fintech solutions within a growing international company Collaborative and transparent team culture that values your expertise and ideas Continuous professional growth and development opportunities Competitive compensation and benefits package * Employment will be offered through one of the group’s legal entities - Mellifera Kartiera Ltd, Colibrix Ltd, or Mellifera Operations Ltd - depending on the role, location, and applicable legal framework. Please note that COLIBRIX ONE is a brand representing a group of legal entities. The employment contract will be signed with the relevant company within the group (Mellifera Kartiera Ltd, Colibrix Ltd, or Mellifera Operations Ltd) depending on the nature of the position and jurisdiction This position is offered within the COLIBRIX  ONE. Employment will be under the appropriate legal entity based on the role and location.

· Разработка и совершенствование моделей: Проектирование,. оценка и постоянное улучшение прогнозных моделей для выявления рисков,.

Location: Hybrid - Boston About the Job: LaunchDarkly is looking for an experienced, self-directed Sales Development Representative to own the first stage of engagement across North America. You will manage and qualify inbound leads, event MQLs, and accounts showing meaningful engagement through our account-based programs. This is not a purely reactive lead-response role. You will combine fast, consultative follow-up with thoughtful, proactive outreach to turn customer interest and buying signals into qualified meetings and pipeline. Responsibilities: Act as the first point of contact for prospective customers across North America, creating a fast, thoughtful, and credible first impression. Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers. Own follow-up for event leads, adapting outreach based on the person, account, and engagement history. Research and proactively engage targeted accounts that show meaningful engagement and buying intent. Convert qualified interest into sales-ready meetings and opportunities for Account Executives. Execute coordinated outreach across phone, email, LinkedIn, and other approved channels. Maintain complete, accurate, and timely activity, qualification notes, and account context in Salesforce. Partner closely with North American Account Executives, Marketing, Revenue Operations, and the global SDR organization to improve lead quality, routing, messaging, and conversion. Share patterns and feedback from prospects so the broader team can improve campaigns, events, content, and the customer journey. Qualifications: At least 1 year of successful SDR or BDR experience in B2B SaaS or a similar environment. A demonstrated record of setting goals, taking ownership, and delivering measurable results. Experience communicating with customers, prospects, or other external audiences. Strong judgment and the ability to operate independently. Excellent written and verbal communication skills in English, with the confidence to engage senior and technical stakeholders. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $86,700 - $119,240 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $78,100 - $107,360 ** Zone 3: All other US locations - $73,700 - $101,310* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Paris, France Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Nous transformons la façon dont le monde mange et fait ses courses en rendant leur accès plus pratique et agréable. Nous connectons les consommateurs, les restaurants, les magasins et les cyclistes. Nous donnons à chaque personne la possibilité d'acheter ce qu'elles veulent, comme elles le veulent, quand elles le veulent et où elles le veulent. Nous sommes une entreprise axée sur la technologie, à l'avant-garde d’un secteur qui connaît une des expansions les plus rapides au monde. Nous avançons rapidement, valorisons l'autonomie, et sommes toujours en recherche de nouvelles idées et de personnes talentueuses pour nous rejoindre! A propos du poste : Role: Senior Business Operations Manager - Sales & Commercial Enablement Scope: National Contract : CDD - 9 Mois Description: Nous recherchons un Sales & Commercial Enablement Manager engageant et inspirant pour rejoindre notre équipe. Ce rôle sera axé sur la prestation de formations et l'intégration de nos équipes Sales et Account Management en France.. Ce poste est essentiel pour assurer le succès de nos équipes de première ligne en leur fournissant les compétences et les connaissances nécessaires pour exceller sur un marché dynamique. En tant que membre clé de notre équipe Business & Operations Strategy,, vous serez à l'avant-garde de l'optimisation des performances, de l'augmentation de la satisfaction client et de la réduction du temps de “ramp up” des nouvelles recrues. Vous mettrez  également en place des formations continues pour les membres de l'équipe existante. Ce poste est idéal pour une personne passionnée par le coaching, la technologie et la stimulation des résultats commerciaux. Missions: Concevoir et dispenser des formations: construire des parcours d'intégration complets et délivrer des supports de formation engageants pour les compétences en Sales et Account Management. Cela inclut la connaissance des services/produits, le cycle de vente, le marché et la proposition de valeur et les outils technologiques de vente. Partenariat stratégique: Collaborer avec les directeurs et les managers pour identifier les besoins de formation critiques et fournir des programmes d'éducation et de développement efficaces. Travailler en collaboration avec vos pairs et les équipes transversales (Marketing, F&S) et les équipes internationales (équipe centrale au Royaume-Uni) pour assurer la cohérence avec la vision, la mission et les objectifs de l'entreprise, et pour partager les meilleures pratiques. Optimisation de la performance: Développer et mettre en œuvre des systèmes d'évaluation des besoins du public cible et de mesure de l'efficacité des programmes. Utiliser les données, les enregistrements d'appels et les retours des parties prenantes pour prioriser les initiatives de formation et fournir un coaching individuel au personnel de première ligne. Développement de programme: créer et coordonner les ressources pour mettre en œuvre des programmes de formation continue, des supports et des manuels pour tous les publics cibles. Affiner et concevoir continuellement des initiatives de formation pour combler les lacunes en matière de compétences et de connaissances, en veillant à ce que les lancements de nouveaux produits et les changements organisationnels soient parfaitement intégrés au programme. Coaching et mentorat: animer régulièrement des sessions de coaching et de mentorat pour partager les meilleures pratiques au sein de l'organisation commerciale, en soutenant la croissance individuelle et collective. Méthodes de diffusion diversifiées: utiliser une variété de techniques et de méthodes d'enseignement, y compris l'apprentissage en présentiel et virtuel, pour créer une expérience d'apprentissage engageante. Profil Recherché: Expérience en formation: 2 ans et plus dans un rôle commerciale, incluant si possible la formation de collaborateurs Sens commercial aiguisé: Une expérience opérationnelle significative et réussie dans la fonction commerciale (sales ou account management). Une compréhension de la fonction "Go-To-Market" (GTM) et de ses leviers de succès est hautement souhaitable. Compétences en communication et présentation: Fortes capacités d'expression en public avec la capacité de présenter de nouvelles idées, d'engager efficacement divers publics et de fournir des retours directs avec professionnalisme. Solides compétences interpersonnelles: Capacité à interagir, consulter et établir des partenariats avec des personnes à tous les niveaux de l'organisation. Solides capacités de coaching qui inspirent confiance aux autres. Maîtrise analytique et organisationnelle: Capacités organisationnelles, analytiques et multitâches exceptionnelles pour évaluer les besoins de formation, gérer plusieurs projets avec des délais serrés et suivre l'efficacité des programmes. Maîtrise technologique: capacité à créer du contenu à l'aide de Google Slides et d'autres outils L&D en ligne. Une expérience de l'utilisation d'un système de gestion de l'apprentissage (LMS) d'entreprise pour planifier et gérer les activités de formation est essentielle (par exemple Showpad, Seismic). Maîtrise linguistique: maîtrise courante du Français, avec une maîtrise de l’anglais ou de l'italien constituant un avantage significatif. Adaptabilité et autonomie Esprit d'équipe: Exceller dans un environnement d'équipe, travailler en collaboration et être ouvert aux retours. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Remote US Nationwide About the Role Daybreak Health delivers teletherapy to young people and families through schools, funded by health plans. As our Senior Director of Revenue Cycle Management, you will own the revenue cycle end to end, from enrollment through cash, for a payer mix that is narrow but operationally demanding: Medicaid and managed care organizations (MCOs), outpatient behavioral health, telehealth, and clinicians licensed across multiple states. This is a build role, not a maintain role. You will inherit real gaps and be expected to close them with process and automation rather than headcount. You will report to our President and Co-Founder and lead the RCM team, which today includes an RCM Manager, a Lead Billing Specialist, and Billing Specialists. You will also partner closely with Finance, Clinical Operations, Product and Engineering, and Credentialing. You will present directly to executives and have clear line of sight into the cash you move. We will not scale RCM by adding billing headcount in step with claim volume. We are looking for a leader who treats that as a design constraint and gets energized by it. What You'll Own AR and denials. Read an aging report, know where the money is stuck, and fix the root cause, not just the claim. You will build the habit of tracing denials and slow-pay patterns back to the workflow, payer rule, or system gap that created them. Metrics and reporting. Run the function off numbers: net collection rate, days in AR, clean claim rate, denial rate, and cost to collect. Give leadership a view of collections they can trust, with definitions that hold up and reporting that does not depend on heroics. Systems. Own the EHR, clearinghouse, and billing platform relationships and configuration. Find process gaps and build solutions, including working with Engineering when the fix lives in the product. Front-end revenue integrity. Own real-time eligibility and benefits verification at intake, patient responsibility, and estimates. Most denials are created before the session happens. You will influence workflows you don't directly manage, particularly with Clinical Operations, and drive upstream behavior change. Automation and AI leverage. Default to eliminating repetitive work. You will identify where automation and AI can take over manual billing, posting, follow-up, and reconciliation work, and put them into production with the right controls. Cash forecasting. Be a credible partner to Finance at close, accruals, reserves, and AR allowance. Finance should never have to chase RCM for a number or wonder how it was built. Compliance. Adolescent behavioral health billing carries real confidentiality risk in EOBs, statements, and minor-consent handling, on top of HIPAA and payer audit exposure. You will build the operating discipline that keeps us compliant as we scale. What Success Looks Like Leadership, Finance, and the executive team trust the NCR numbers, know what is driving them, and see them improve! AR is understood by payer, age bucket, and root cause, and aged balances are moving in the right direction. Denial and clean claim rates improve because upstream workflows (eligibility, authorization, intake, documentation) are fixed at the source. Manual billing work keeps getting simpler or automated, and RCM capacity scales more slowly than claim volume. Finance gets forecasts, accruals, and reserve inputs on time, with clear assumptions and honest variance explanations. Clinical Operations and RCM work from shared definitions and a shared view of how clinical workflows affect revenue. Confidentiality, minor-consent, and audit-readiness practices are documented, trained, and followed. What We're Looking For 10+ years in RCM, including 5+ years leading RCM teams. Experience in one or two startups. You have built from square one and stayed flexible as the business changed. Deep outpatient behavioral health and Medicaid/MCO billing expertise. Practical, hands-on use of AI and automation to improve how work gets done, and good judgment about where human review still matters. A track record of standing up reporting, automating manual work, and leading system migrations. Comfort owning numbers publicly and being wrong out loud when the forecast misses. Strong executive communication. You can turn a complicated billing finding into a clear recommendation, with the tradeoffs spelled out. Ability to influence stakeholders and drive change without direct authority, especially across Clinical Operations, Product, and Engineering. Nice to have: Experience with school-based, pediatric, or youth behavioral health programs. Experience billing across multiple states with a multi-state licensed clinician workforce. Familiarity with BI tools. Exposure to value-based or outcomes-linked payer contracts. Compensation and Benefits The target base salary range for this role is $175,000 , plus equity and benefits. Actual compensation will depend on experience, location, and internal equity considerations. Placement within the range reflects depth of behavioral health and Medicaid experience, startup build experience, and team size owned. Generous equity package Medical, dental, and vision coverage, with Daybreak covering a significant share of premiums for employees and dependents Flexible unlimited time off, company holidays, and quarterly mental health days Fully remote work from anywhere in the United States

Location: San Francisco, CA 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 Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows. As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected. Key responsibilities Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions. Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales. Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions. Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions. Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination. Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools. Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business. Minimum qualifications Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting. Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar). Preferred qualifications 8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients Experience at, or insuring, a technology company or other fast-growing, complex organization Property insurance experience, including large or complex property, construction, or data center exposures Captive insurance experience (formation, management, fronting, or reinsurance) Experience insuring emerging technology risks, such as AI or technology liability and cyber Background at a major broker, carrier, or large technology company risk team Actuarial training or credentials, or experience with actuarial analysis Familiarity with insurance management systems, SQL or Python, or building workflow automation Experience building processes from scratch in an ambiguous, fast-moving environment 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: $180,000 — $230,000 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: 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 is growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed. We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work. Responsibilities Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting Work with engineering teams to design and roll out IT general controls and IT application controls Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control Track system migrations and scope changes, and make sure controls are updated as systems move Build metrics and dashboards on control health, open findings, and remediation progress Give regular updates on program status, risks, and remediation to technical leadership Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly You may be a good fit if you Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls Have run or supported a SOX program at a public or pre-IPO company Have used automation or AI tools to make compliance work faster and more reliable Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting Have worked closely with external auditors Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer Can explain technical risks and control gaps clearly to executives and other non-technical audiences Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you Strong candidates may also have A background in software, systems, or security engineering Hands-on experience building with Claude Code or other AI tools Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering Experience with financial systems such as ERP and billing platforms, and the controls around them Experience building or rebuilding a SOX program at a fast-growing company Familiarity with other security and IT frameworks, such as NIST or ISO 27001 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 — $365,000 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: 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 Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have Experience scaling IT infrastructure in high-growth technology companies Background in IT service management (ITSM) frameworks and continuous improvement methodologies Experience with enterprise software evaluation, procurement, and vendor management Familiarity with modern endpoint management platforms and zero-trust security architectures Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments Prior technical experience as an IT engineer, systems administrator, or network engineer Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements 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 — $365,000 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: Remote US Nationwide About the Role Daybreak Health delivers teletherapy to young people and families through schools, funded by health plans. As our Senior Director of Revenue Cycle Management, you will own the revenue cycle end to end, from enrollment through cash, for a payer mix that is narrow but operationally demanding: Medicaid and managed care organizations (MCOs), outpatient behavioral health, telehealth, and clinicians licensed across multiple states. This is a build role, not a maintain role. You will inherit real gaps and be expected to close them with process and automation rather than headcount. You will report to our President and Co-Founder and lead the RCM team, which today includes an RCM Manager, a Lead Billing Specialist, and Billing Specialists. You will also partner closely with Finance, Clinical Operations, Product and Engineering, and Credentialing. You will present directly to executives and have clear line of sight into the cash you move. We will not scale RCM by adding billing headcount in step with claim volume. We are looking for a leader who treats that as a design constraint and gets energized by it. What You'll Own AR and denials. Read an aging report, know where the money is stuck, and fix the root cause, not just the claim. You will build the habit of tracing denials and slow-pay patterns back to the workflow, payer rule, or system gap that created them. Metrics and reporting. Run the function off numbers: net collection rate, days in AR, clean claim rate, denial rate, and cost to collect. Give leadership a view of collections they can trust, with definitions that hold up and reporting that does not depend on heroics. Systems. Own the EHR, clearinghouse, and billing platform relationships and configuration. Find process gaps and build solutions, including working with Engineering when the fix lives in the product. Front-end revenue integrity. Own real-time eligibility and benefits verification at intake, patient responsibility, and estimates. Most denials are created before the session happens. You will influence workflows you don't directly manage, particularly with Clinical Operations, and drive upstream behavior change. Automation and AI leverage. Default to eliminating repetitive work. You will identify where automation and AI can take over manual billing, posting, follow-up, and reconciliation work, and put them into production with the right controls. Cash forecasting. Be a credible partner to Finance at close, accruals, reserves, and AR allowance. Finance should never have to chase RCM for a number or wonder how it was built. Compliance. Adolescent behavioral health billing carries real confidentiality risk in EOBs, statements, and minor-consent handling, on top of HIPAA and payer audit exposure. You will build the operating discipline that keeps us compliant as we scale. What Success Looks Like Leadership, Finance, and the executive team trust the NCR numbers, know what is driving them, and see them improve! AR is understood by payer, age bucket, and root cause, and aged balances are moving in the right direction. Denial and clean claim rates improve because upstream workflows (eligibility, authorization, intake, documentation) are fixed at the source. Manual billing work keeps getting simpler or automated, and RCM capacity scales more slowly than claim volume. Finance gets forecasts, accruals, and reserve inputs on time, with clear assumptions and honest variance explanations. Clinical Operations and RCM work from shared definitions and a shared view of how clinical workflows affect revenue. Confidentiality, minor-consent, and audit-readiness practices are documented, trained, and followed. What We're Looking For 10+ years in RCM, including 5+ years leading RCM teams. Experience in one or two startups. You have built from square one and stayed flexible as the business changed. Deep outpatient behavioral health and Medicaid/MCO billing expertise. Practical, hands-on use of AI and automation to improve how work gets done, and good judgment about where human review still matters. A track record of standing up reporting, automating manual work, and leading system migrations. Comfort owning numbers publicly and being wrong out loud when the forecast misses. Strong executive communication. You can turn a complicated billing finding into a clear recommendation, with the tradeoffs spelled out. Ability to influence stakeholders and drive change without direct authority, especially across Clinical Operations, Product, and Engineering. Nice to have: Experience with school-based, pediatric, or youth behavioral health programs. Experience billing across multiple states with a multi-state licensed clinician workforce. Familiarity with BI tools. Exposure to value-based or outcomes-linked payer contracts. Compensation and Benefits The target base salary range for this role is $175,000 , plus equity and benefits. Actual compensation will depend on experience, location, and internal equity considerations. Placement within the range reflects depth of behavioral health and Medicaid experience, startup build experience, and team size owned. Generous equity package Medical, dental, and vision coverage, with Daybreak covering a significant share of premiums for employees and dependents Flexible unlimited time off, company holidays, and quarterly mental health days Fully remote work from anywhere in the United States

Location: Singapore Workplace: hybrid The Role We are looking for an ambitious, driven Product Manager to join our team. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business. Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business. This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: • Global payments and receivables • Foreign Exchange (FX) • Treasury management • Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America, backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. As our APAC' Expansion Product Manager You’ll define the strategic roadmap for Sokin's banking connectivity across APAC, determining which markets we expand into, what capabilities we need, and how our infrastructure evolves to serve our clients' needs. You'll be responsible for building the business case for market expansion, analyzing client demand, payment volumes, competitive positioning, and regulatory requirements to prioritize where Sokin should establish presence next. This means understanding the specific payment needs of different APAC markets, from ACH requirements to local clearing preferences, and translating those into clear technical and commercial requirements. Working closely with our Banking Partnerships team, you'll define what we need from banking relationships in each market, then collaborate on sourcing and evaluating potential partners. Once partnerships are established, you'll work with engineering to scope and prioritize integration work, ensuring our technical implementation delivers the speed, reliability, and functionality our product roadmap requires. You'll own the ongoing performance and optimization of our APAC' banking infrastructure, monitoring transaction success rates, settlement times, and costs across different corridors, then identifying opportunities for improvement. This includes working with operations and engineering to resolve technical issues, evaluating when to add redundancy or alternative routes, and making data-driven decisions about infrastructure investments. A critical part of this role involves staying ahead of the APACs' payments landscape, tracking developments in instant payment schemes, open banking regulations, and emerging settlement mechanisms, then determining how these trends should influence our strategy. You'll also gather feedback from clients and sales teams to understand where our current infrastructure is limiting growth or creating friction. Your role as a PM at Sokin: Define and communicate the product strategy and roadmap aligned to the companies vision and strategy. Conduct market research to identify customer needs and market trends. Work directly with a cross-functional team of engineers to deliver value often. Spent time with customers to discover new product ideas, identify product improvements and validate product solutions. Collaborate with cross-functional teams including engineering, design, marketing, and sales to understand the value, feasibility, viability and usability of solutions. Create and manage product roadmaps, ensuring alignment with business goals. Prioritize product features and requirements based on customer value and business impact. Work closely with product marketing and sales to launch new products to customers. Monitor product performance and use quantitative and qualitative insight to drive continuous improvement. Act as the primary point of contact for all product-related inquiries. We’d love to hear from you if: You're excited by building B2B fintech products and have hands-on experience with banks, PSPs, and local payment rails across APAC. You own your roadmap and can identify problems, make decisions, and drive things forward without waiting to be managed. You're someone that enjoys getting into the details and understanding the mechanics of your product and the data behind it. You're a strong communicator and enjoy working in cross-functional teams alongside engineers, designers, and other functions to deliver value to users. You're comfortable working with financial, risk, and legal stakeholders to design solutions that are user-centric yet compliant. You have enough technical depth to work closely with engineers and find the best solution to a problem. You thrive in ambiguous environments and bring structure to them rather than waiting for it. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Communicate and present findings and recommendations to senior management Help preserve our culture of fact-based decision making as we scale You have... Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028 Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture Able to relocate to Pittsburgh or NYC for the internship Exceptional candidates will have... Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt Experience articulating business questions and using available data to find answers that translate into product recommendations Self-starter, with a desire to both learn new techniques and guide others Previous experience/internships in applied business settings Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI A GPA of 3.5+ A Duolingo streak Why you’ll love working here… Language learning opportunities Catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more! Connect with your recruiter on the benefits for interns at Duolingo! Hourly Range for this internship is: $63 — $65 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. 🧠  You will... Lead a specific feature of the app, seeing it through the entire product development cycle: ideation, specification, development, release, analysis, and iteration Conduct research, analyze market trends and data and develop a product roadmap for a key component of Duolingo’s business (past projects include: teaching Asian languages better, exploring strategy for emerging markets, and product improvements to attract more offline learners) Work closely with UI/UX designers to ensure an excellent user experience Work with engineers to help guide feature development Perform quantitative analysis on features’ performance and find opportunities for optimization ✅  You have... Currently pursuing an MBA graduating December 2027 or Spring 2028 Bachelor’s degree in Engineering, Business, Psychology, Design, Computer Science, or related field 3+ years of professional experience as a PM or in highly related areas, such as software engineering, design, data analysis, language learning, or brand management. Ability to utilize knowledge of user insights, data, and statistical analyses to inform decisions An instinct for creating simple and intuitive user experiences Proven ability to learn fast Demonstrated ability to be resourceful and innovative Experience leading projects and teams A desire to make the world a better place through technology and education 12 weeks of consecutive availability 👀 What you can expect… Dedicated mentorship and coaching from experienced PMs. A chance to own a real project that impacts millions of learners worldwide. Intern-specific events, programming, and opportunities to connect with senior leaders. Exposure to the full product development lifecycle from idea to launch. A fun, mission-driven environment, where you’ll have lots of opportunities to grow as a product manager and make meaningful connections with your colleagues ❤️ Why you’ll love working here… Relocation assistance Language learning opportunities Daily catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more! Connect with your recruiter on the benefits for interns at Duolingo! Hourly Range for this internship is: $63 — $65 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. We’re building a near real-time streaming data platform on Kafka and Flink that turns operational data from across the business into canonical, contract-validated models, serving both operational applications and agentic workloads. We seek a Senior Data Engineer to build, extend, and operate it, owning the platform in production against its latency and throughput SLOs. This is a hands-on role with meaningful ownership of a live production platform. You are self-driven, calm under production pressure, and comfortable owning streaming systems in a regulated environment. You Will: Share full-lifecycle ownership of the streaming platform - architecture, implementation, production operations. - Run the platform in production: own latency/throughput SLOs, monitoring and alerting (e.g. Datadog) - including replays, per-source backfills, connector-failure recovery, Flink checkpoint/savepoint recovery, dead-letter triage, and tuning for spiky load from batch-driven upstream sources. - Build and extend streaming pipelines that ingest CDC events from OLTP databases and SaaS sources into canonical, contract-validated form, and define standards to govern changes to them over time. - Transform and enrich in Apache Flink, including stateful processing and cross-stream joins that correlate events into unified lifecycle entities, with event-time handling for late and out-of-order data. - Enable secure, governed data access over PHI: classification and row/column controls applied as data is served to consumers, in partnership with Security and Compliance. - Make it reliable and observable: idempotent/replayable pipeline design, data-quality validation, runbooks, and observability the broader data team can rely on. - Provision as code: define the platform (streaming, processing, storage, and catalog services on AWS) in CDK with CI/CD for data pipelines, and right-size for cost against the latency SLO. - Partner across teams: work with upstream producers on source changes and contracts, with downstream consumers on access and data needs, and with stakeholders to turn requirements into what the platform delivers. - Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented. You Bring: - 6+ years building and operating production data systems, including demonstrated ownership of streaming or event-driven pipelines - on-call, incident response, SLOs, runbooks, and recovery, not just development. - Deep, production experience with Apache Kafka (MSK preferred) - partitioning, consumer groups, idempotent semantics, Kafka Connect, and replay/backfill under load. - Strong, hands-on production experience with Apache Flink or a comparable stateful stream processor, in Java or another JVM language - state management, checkpointing, watermarks, and exactly-once sinks. - AWS-native data engineering across streaming, processing, storage, and catalog services (e.g. MSK, EMR, Glue, S3, Athena), with infrastructure-as-code - AWS CDK (preferred) or Terraform - CI/CD for data pipelines, and cost awareness. - Comfort debugging distributed data pipelines (consumer lag, data skew, backpressure, checkpoint failures, late/out-of-order events) with observability tooling (e.g. Datadog/CloudWatch). - SQL and Python, and experience building and consuming REST APIs. - An AI-forward engineering mindset, with demonstrated hands-on use of AI-assisted and agentic development tools, an opinion on where AI adds value (and where it doesn’t), and an understanding of agentic data consumption patterns of trusted operational data - including context management, lineage, provenance, permissions, freshness. - Change data capture and open table formats - CDC (e.g. Debezium) plus Iceberg or Delta Lake: schema evolution, partitioning, and table maintenance. - Data contracts and schema governance - schema registries and technical metastore (e.g. Glue Data Catalog, Unity Catalog), compatibility rules, Avro or Protobuf, and dead-letter handling. - Degree in Computer Science, Information Systems or another quantitative field, and comfort on the command line / a Unix-based OS (we are 100% Mac+Linux at Gravie). - Excellent communication skills and demonstrated success in driving results through influence and collaboration. Extra Credit: - Health insurance domain knowledge, including HIPAA Protected Health Information (PHI) and compliance frameworks governing it. - Familiarity with serving data to AI and agentic consumers - exposing canonical data as low-latency context or inputs for automated/agentic workloads. - Experience with a governance & data discovery catalog (e.g. Atlan, Alation, Collibra). - Previous venture-backed start-up company experience. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE: A developer is getting ready to launch their first subscription app. A growth team wants to improve its paywalls. A founder has heard about Daily Payouts and wants to understand whether it could help. They all reach out to RevenueCat, and they all deserve a useful conversation. You’re that conversation. As a Product Expert, your job is to understand what someone is trying to accomplish, explain and demo the relevant parts of RevenueCat, and help them take a sensible next step. Sometimes that means helping them get started themselves. Sometimes it means bringing in an Account Executive, a Sales Engineer, Support, or someone else. This is a new role at the intersection of inbound sales, product education, and helping developers get started. You’ll own the inbound conversations that don’t go directly to our Account Executives or Sales Engineers, and help us build a great experience for the people behind them. You might be early in your career, building apps on the side, or looking to turn your product knowledge into a more customer-facing job. You don’t need to have held this exact role before. You do need to know RevenueCat well, enjoy talking to people, and have good judgment about what would actually help them. We’re initially hiring one person in EMEA and one in the Americas. You’ll initially report to our Sales Engineering lead and learn alongside teammates who have been handling these conversations for years. You’ll also help shape how the Product Expert team works as it grows. What you’ll be responsible for: - Make a great first impression. Respond to inbound interest, run useful discovery conversations, and understand the app, the people building it, their goals, and what they need from us. - Turn product knowledge into practical guidance. Give clear demos, answer questions, and connect the relevant parts of RevenueCat to someone’s situation. Help them understand the product, its limits, and what getting started involves. - Help straightforward adoption move forward. Guide people through the next steps they can take themselves, share useful resources, and follow up so a good conversation turns into progress. - Recognize the right next step. Bring qualified commercial opportunities to an Account Executive and involve a Sales Engineer for deeper technical discovery, complex migrations, or solution design. Connect support questions and people who aren’t ready yet with the appropriate team or follow-up. Understand (and tell people) when RevenueCat is not right for them. - Make handoffs easy for the customer. Keep clear notes on goals, requirements, open questions, and next steps. Stay responsible for follow-through until the next owner has picked up the conversation, so the customer doesn’t have to start over. - Help us improve the experience. Share recurring questions and feedback with the team. Turn what you learn into better demos, resources, and playbooks, and help us see where conversations or handoffs get stuck. What you’ll need to be successful: - Strong, hands-on knowledge of RevenueCat. You can show how you’ve used the product and explain it in your own words. We care about what you understand and can demonstrate, whether you learned it at work or through your own projects. - Curiosity about the app business. You want to understand how developers build products, make money, and grow, and how RevenueCat can help. - Clear, friendly communication. You listen carefully, ask useful questions, write concise follow-ups, and explain the same idea differently to a developer, founder, or growth lead. - Technical common sense. You’re comfortable discussing SDKs, APIs, subscriptions, and paywalls at a practical level. You can recognize when a question needs an engineer and bring them in with useful context. - Commercial common sense. You can spot a promising opportunity, understand why timing and fit matter, and recommend a useful next step without making every conversation a pitch. - Ownership and follow-through. You can manage several conversations, keep your notes and commitments straight, and make sure people hear back from you. - The ability to work remotely and keep learning. You communicate proactively, ask for help when you need it, and can work hours that meaningfully overlap with customers and teammates in your region. We’re more interested in your product knowledge, judgment, and helpfulness than a particular degree, job title, or number of years on your résumé. Ideally, you: - Have built or shipped an app using RevenueCat, including a side project or Shipaton entry. - Have helped people through support, community participation, teaching, demos, or another customer-facing role. - Have experience with developer tools, subscriptions, or a product with both self-service and sales-assisted customers. - Enjoy improving a process or creating a resource that makes the next person’s job easier. What success looks like: Within the first month, you’ll: - Deepen your RevenueCat knowledge, shadow customer conversations, and learn how Sales, Support, and other parts of the business work together. - Start handling conversations with support from the team and learn when to bring in a specialist. - Host one of our bi-weekly demo stream, for a live audience of customers and prospects. Within the first three months, you’ll: - Independently run the inbound discovery conversations and demos in your coverage area. - Help people get started and make well-qualified handoffs with clear context and next steps. - Build a reliable follow-up rhythm and agree with the team how we’ll measure response quality, opportunity progression, and adoption. Within the first six months, you’ll: - Be a trusted source of product guidance for prospects and teammates. - Show how your work helps people move from interest to a useful next step, and use feedback and data to improve the experience. - Contribute reusable guidance that helps the team handle common questions and situations more effectively. Within the first twelve months, you’ll: - Have helped establish how the Product Expert team runs discovery, demos, follow-up, and handoffs. - Help new teammates get up to speed and bring customer insight into how we improve the product and our processes. - Be building deeper expertise around your interests and strengths, with a foundation that could lead toward Sales Engineering, Account Executive, or Customer Success work over time. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21