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Location: Culver City, CA, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. Salary range: 125,000 - 170,000 USD What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Seattle, WA, US Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. Salary range: 125,000 - 170,000 USD What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Yerevan; Poland; Ukraine; Serbia; Valencia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT REPLIT Replit is building the world’s most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely. ABOUT THE ROLE In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties. This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems. On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact. We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply. YOU WILL - Build high-throughput backend applications and services, like streaming chat between user and agent. - Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time. - Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences. - Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP) REQUIRED SKILLS AND EXPERIENCE - 8+ years professional experience in building backend services, systems and platforms - Someone who values simplicity and pragmatism—you think radically but ship incrementally. - Self-directed and comfortable working autonomously. - Collaborative and team-oriented with a strong sense of shared ownership. PREFERRED QUALIFICATIONS - Experience across the full-stack. - Experience building AI powered tooling or products. - Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git. - Experience with event sourcing systems. WHAT WE VALUE - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Москва, гибрид или удалённая работа, RU; Россия О команде Мы разрабатываем Trisigma — платформу для A/B-экспериментов и автоматизации аналитики в крупных компаниях. Платформа помогает принимать повседневные решения на основе данных и снижает нагрузку на аналитиков в типовых запросах к DWH. Внутри Авито через Trisigma проходит около 10 000 A/B-тестов в год, каждый день платформа считает больше 500 000 метрик и разрезов. С платформой также работают внешние клиенты из ритейла, финтеха, доставки продуктов и e-commerce. Сейчас мы развиваем AI-сценарии Trisigma: всё, что можно сделать в интерфейсе, постепенно становится доступно в диалоге с агентом. Мы ищем аналитика в продуктовую команду Trisigma. Вы будете помогать команде понимать, как пользователи работают с платформой, исследовать заложенные в неё аналитические методы и прорабатывать новые сценарии работы через AI-агентов. Проблему и ожидаемый результат определяем вместе с командой. Вы будете погружаться в детали задачи: разбираться в потребностях пользователей, аналитической логике и технических ограничениях, прорабатывать сценарии и поведение продукта. Вместе с инженерами вы будете доводить решения до реализации и проверять, что они закрывают исходную задачу. Какие задачи вас ждут: развивать продуктовую аналитику Trisigma: определять метрики, налаживать их расчёт и исследовать использование платформы; исследовать и улучшать методы проведения и анализа экспериментов с учётом задач пользователей: проверять, как они работают в реальных сценариях, разбираться в ограничениях, предлагать улучшения и доводить их до продукта; прорабатывать AI-сценарии платформы: разбираться в задачах пользователей и определять, как агент может помочь их решить; реализовывать аналитические решения с помощью SQL, Python и AI-агентов: проверять корректность расчётов и эффективность обработки данных; работать с потребностями команд в A/B-тестировании: изучать их сценарии, предлагать и презентовать решения, в том числе внешним заказчикам, вместе с командой оценивать и реализовывать необходимые изменения в платформе. Мы ждём, что вы: работаете аналитиком данных от 2 лет; уверенно пишете на SQL и Python, работали с большими данными: Trino, ClickHouse, Spark или похожими инструментами; понимаете, как работают продуктовые команды: гипотезы, итерации, метрики, дизайн и интерпретация A/B-тестов; каждый день работаете с AI-агентами: Claude Code, Codex, Cursor или похожими инструментами — и умеете проверять полученные с их помощью код, расчёты и выводы; доводите задачи до конца и отвечаете за результат; умеете переводить аналитическую задачу в требования к продукту: описывать сценарии, ограничения и критерии корректности так, чтобы команда могла реализовать решение. Будет здорово, если вы: доводили свой код или прототип до продакшена; делали MCP-серверы, скиллы или агентов; работали с B2B-продуктом или внешними клиентами; знаете продвинутые методы анализа экспериментов: CUPED, ratio-метрики, switchback. Работа у нас — это: возможность влиять на бизнес и развитие продукта; интересные и разнообразные задачи: аналитики в Авито ищут точки роста бизнеса, изучают поведение пользователей, придумывают фреймворки и настраивают дашборды; много качественных данных, мощная инфраструктура, инструменты и всё, что нужно для продуктивной работы; сильная аналитическая культура и сообщество профессионалов; прозрачная система премий, уровень зарплаты обсудим на собеседовании; личный бюджет на обучение: его можно тратить на книги, курсы и конференции; возможность работать удалённо или из офиса в двух минутах от метро «Белорусская»: в офисе есть места для уединённой работы и зоны отдыха; расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; корпоративный спорт: групповые тренировки, велбиинг-приложение; спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; компенсация питания.

Location: Adriatics WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them. Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 6 years of practical full-stack engineering experience Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams. 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: $320,000 — $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 | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Vancouver, BC At Asana, we believe AI represents the future of work, and APIs are at the heart of how AI connects with the tools where work happens. Asana’s API team owns the gateways that enable data flow into and out of Asana, whether via the public API used to build new apps and agents or our MCP server that enables LLMs to take action in response to natural language. Asana’s rich developer platform and app ecosystem help ensure we can support every use case out there–no matter how big or small the team, and no matter which tools or workflows they use. We’re looking for a staff-level Technical Lead to drive execution and technical vision for our developer platform. Our API team has huge, cross-cutting scope: one day you’ll be partnering with Product to define what a great agentic experience looks like and contributing to the direction of industry-wide protocols, the next you’ll be setting best practices for exposing new Asana functionality via the public API and architecting foundational changes to our API’s core feature set and frameworks, all while mentoring the engineers and developer advocates on the team. If you care deeply about building an agentic future for the enterprise and leading high-performing engineering teams, then we’d love to hear from you! This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Set the technical strategy for the API platform within Asana and advocate for engineering-driven investments, with a vision for keeping our systems flexible and maintainable Drive the team to continually and holistically better itself, enabling the engineers around you to deliver at a high velocity while helping them grow their skills in the process Be a key collaborator with other groups in Engineering and a technical counterpart to the API team’s Engineering Manager, serving as a public face for API engineering and representing our interests across team boundaries Partner with Product Management, Design, Data Science, and User Research to deeply understand developer and agentic needs, and then propose elegant solutions to meet them Own and shape the guidelines for what good API design looks like, partnering with product engineering teams to help them implement those best practices in a self-serve manner Develop across the entire stack to make developers’ experiences better by writing clean, beautiful code and leaving things better than you found them: this includes writing Scala, Javascript, and Typescript About you 10+ years of experience as an engineer working in large, complex codebases 2+ years leading engineering teams of 5+ engineers 1+ years building public-facing API products or Developer Platforms Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others Excellent communication, collaboration, and delegation skills Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $211,000-$240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: San Francisco; Remote (United States); London; Belgrade; New York City Workplace: Hybrid Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions

Location: San Francisco; Remote (United States); London; Belgrade; New York City Workplace: Hybrid Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions

Location: Remote Lightning Labs builds the infrastructure that makes Bitcoin work as a global payment network. Our protocols: the Lightning Network, Taproot Assets, and L402, are used by developers all around the world and are increasingly the rails that AI agents use to pay for services, stream value, and transact autonomously. We are looking for an AI Product Engineer to help us move faster everywhere at once. Location: San Francisco Bay Area ideal. Remote considered for strong candidates, with proximity to US time zones THE ROLE This is not a single-product role. You will move across the company, picking up whatever project has the most leverage that week: building a demo that shows developers what L402-powered agentic commerce looks like, automating a workflow that saves the business development team hours of manual work, standing up an MCP server that gives AI agents access to our APIs, or shipping a feature in Terminal Web. You are the person we point at a problem and trust to come back with something that works. The ideal candidate is someone who builds and ships constantly, using AI-native tools as a natural part of how they work. You have strong product instincts, you don't just write code, you understand why something matters and who it's for. You're comfortable being dropped into an unfamiliar codebase on Monday and demoing a working prototype by Friday. WHAT YOU'LL DO Build demos and developer experiences that show what's possible on Lightning. End-to-end working applications that showcase Lightning payments, L402-gated APIs, Taproot Assets, and agentic workflows. These demos are how we communicate the value of our platform to developers and partners. Automate and augment internal workflows by partnering with engineering, product, business development, and marketing teams to identify where AI can eliminate manual work. Build the tools, scripts, MCP servers, and integrations that make the whole company faster. Ship features across products including Terminal Web, LND, and new products. You'll write production code, not just prototypes, but you'll also know when a prototype is the right answer. Work autonomously with minimal direction. Understand the company's priorities, identify where you can have the most impact, and execute. Context switch across projects and teams while maintaining quality. WHAT WE'RE LOOKING FOR - You build and ship production-quality software. You have a portfolio, GitHub profile, or set of projects that demonstrate this, we'd love to see them. - You use AI-native development tools (Claude Code, Cursor, Codex, or similar) as part of your daily workflow, not as a novelty. - You're comfortable across the full stack. Our work spans TypeScript, React, Go, Python, and whatever else the problem requires. Go experience is a plus. - You have strong product instincts and can translate between technical and non-technical contexts. You'll work directly with business development, marketing, and product, not just engineering. - You're familiar with agentic AI patterns: tool use, MCP, multi-step workflows, and integrating LLMs into real systems. - You're self-directed with a bias toward action. You thrive in ambiguous, fast-moving environments and have a track record of delivering. NICE TO HAVE - Understanding of Bitcoin, the Lightning Network, L402, or Taproot Assets. We care more about curiosity and willingness to learn than existing knowledge. - Experience building developer-facing demos, sample applications, or technical content. - Contributions to open source projects. - Experience at a small, high-growth company where wearing many hats was the norm. HOW TO APPLY We strongly encourage you to include links to projects, demos, repos, or anything else that shows how you build. A strong portfolio speaks louder than a keyword-optimized resume.

Location: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Backend Engineer(Go) for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases , including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs , ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance , reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch Must have skills 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Turkey WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Saudi Arabia WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Netherlands WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. - Native-level Dutch proficiency, both written and spoken. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice