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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Commercial segment. As one of the first CSMs for our Commercial segment, you’ll be a thought partner both for our customers and for your cross-functional partners, helping define how Customer Success can play the most meaningful role in helping our customers harness the full potential of our products, move toward the frontier, and ultimately realize value. You'll work with organizations that move fast and push the boundaries of what's possible with AI, helping them harness the full potential of all of our Claude capabilities: from Claude Code and Cowork to the API. Drawing on both your business acumen and technical expertise, you’ll gain a deep understanding of customers’ business objectives, strategic direction, AI vision, and technical needs   to serve as a strategic advisor throughout their journey. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, providing best practices and guidance while supporting your customers as their usage grows and evolves. Your role focuses on helping customers both scale and optimize their usage, implement change management strategies, and maximize the value of their investment through expanded use cases and value realization measurements.  The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a Commercial segment and broader business. Responsibilities: Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products, developing activation plans for newly sold use cases, and mapping out future consumption / adoption opportunities to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products and advancing their journey toward the frontier by socializing Anthropic’s product roadmap, driving awareness on new products, and engaging Product PMs Develop and execute change management strategies to drive end-user adoption, including Champion Program development, Train the Trainer programs, Center of Excellence development, and overall organizational enablement Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks to optimize efforts across your portfolio and help fellow CSM’s scale their impact You may be a good fit if you have: 4+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders — from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

SendNOW ищет QA Engineer с опытом в Fintech / Payments для самостоятельного тестирования продукта, работы с API и логами, участия в релизах и развития QA-процессов в команде. Задачи: — Тестировать мобильное приложение iOS / Android, веб-кабинет и админку. — Проводить manual testing и писать/поддерживать автотесты UI / API. — Сопровождать релизы: проверка задач, smoke и regression testing, проверка hotfixes и production issues. — Тестировать REST API через Postman: payloads, status codes, headers, authentication, webhooks. — Анализировать логи и ошибки в GCP Cloud Logging, Sentry, Crashlytics и воспроизводить/локализовать проблемы. — Анализировать требования, acceptance criteria и макеты Figma, находить пробелы и неоднозначности. — Создавать понятные bug reports в Jira и вести задачи до закрытия. — Готовить test plans, checklists, test cases и test scenarios; создавать скринкасты багов и протестированных сценариев. — Развивать QA-подходы в команде: чек-листы, регрессии, bug reporting и release testing. Требования: — 3+ года опыта в Fintech / Payments (интеграции, платёжные провайдеры или денежные переводы). — Уверенный manual testing web и mobile. — Практический опыт тестирования REST API и интеграций. — Уверенный Postman. — Понимание HTTP/HTTPS, методов, status codes, headers, idempotency и webhooks. — Умение читать логи (GCP Cloud Logging / Sentry / Crashlytics). — SQL / NoSQL на уровне запросов. — Опыт с UI / API автотестами (Playwright, Cypress, Appium, Newman или аналоги). — Понимание CI/CD и Scrum. — Понимание UX и пользовательских сценариев. — Английский B1+. Условия: — Фултайм, удалённо из любой точки мира по времени GMT+3. — Оформление — Service Agreement.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Copywriter, Developer at Anthropic, you will shape how our brand speaks to developers, an audience that is notoriously allergic to being marketed to and quick to spot anything that doesn't ring true. Developers who stay sharp, curious, and direct AI tools with their own judgment are the ones who will thrive, and your job is to help that idea land authentically rather than arrive as a slogan. You'll co-create a voice that developers recognize as empathetic, direct, and genuinely useful, and you'll bring that voice to every place our brand meets a developer. In this role, you'll own the brand-led developer writing that sits between Dev Rel's technical content and pure marketing: launch narratives, campaign work, social, paid, event materials, and developer work that shows up in enterprise contexts. You'll partner closely with Dev Rel as an embedded extension of their team, co-own the developer voice and tone guide with Comms, work with Claude Code and developer marketing leadership on strategic initiatives, and sit within a developer creative pod alongside a brand designer and program manager, with our Head of Copy and Content as your craft lead. Responsibilities Own the developer-facing expression of brand campaigns, starting with Keep Thinking, translating brand-level ideas into writing that works across launches, social, and paid Build the developer voice and tone guide in partnership with Comms and Dev Rel, then turn it into the templates and examples the creative team uses for developer work Own the brand-led developer assets that sit between technical content and marketing, from event and campaign materials to developer writing in enterprise contexts Partner daily with Dev Rel as an embedded extension of their team, complementing the technical content they own rather than duplicating it Develop launch narratives and short-form copy that adapt expert, technical material into sharp, accurate writing developers trust Lead copy for the developer creative pod, working side by side with brand design and program management to ship integrated work Partner with Claude Code leadership and developer marketing leadership on strategic initiatives that shape how we show up for developers Present work and a clear rationale for voice and craft decisions to stakeholders across Brand, Dev Rel, Comms, and marketing Manage feedback from technical reviewers and Comms so that what ships is both accurate and within what we can say externally Track how developer-facing work lands and use what you learn to sharpen the voice, the templates, and the work itself You may be a good fit if you Have 8+ years experience writing for developers or technical audiences, and a portfolio that shows both technical and brand work Have shipped work that developers actually shared, whether in-house at a developer tools or infrastructure company or at an agency serving those clients Have a strong, specific point of view on how brands should talk to developers, and can articulate it with examples Can read a changelog or a docs page and explain why a developer would or wouldn't trust it Are skilled at adapting expert material into sharp short-form copy and launch narratives without losing accuracy Work fluidly across the full range from technical content to pure brand writing Already use Claude or other AI models in your own writing practice and can talk concretely about how Enjoy embedding with technical teams and treating engineers and Dev Rel as creative partners, not just reviewers Are comfortable co-owning standards with other teams and knowing where your lane ends and theirs begins Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience working directly alongside a Dev Rel or engineering team rather than through a brief Built or contributed to a voice and tone guide, style system, or writing templates that other people successfully used Written for developer launches at a fast-moving product company, where accuracy and speed both mattered Familiarity with the AI developer ecosystem, including coding tools, APIs, and how developers evaluate them Experience writing developer-credible work that also performs in enterprise or executive contexts A personal writing practice, newsletter, or public work that demonstrates voice and judgment Worked within brand campaign systems and translated them for a skeptical or specialized audience 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: $200,000 — $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We’re looking for a Talent Operations Manager to own the systems, data, and operating rhythm behind how Render hires. You’ll architect our ATS, build the reporting that Talent and hiring teams rely on, and lead process changes that help us scale without losing quality. You’ll work closely with recruiters, recruiting coordinators, hiring managers, People leaders, and external partners. You’ll make sure our hiring data can answer the questions teams need to make better decisions. This is a high-leverage role for someone who likes turning messy, fast-moving work into clear operating systems. You’ll help us reduce process drift, improve candidate and interviewer experience, keep hiring data trustworthy, and give the team better visibility into what is working, what is blocked, and where we need to adjust. We value people who are practical, systems-minded, and steady when the work gets complex. The right person can zoom out to design how the system should work, then zoom in to improve the field, report, access role, or automation that is slowing the team down. WHAT YOU’LL DO - Architect how our ATS works across custom fields, access roles, interview plans, feedback forms, automations, integrations, and reporting foundations - Own the reporting layer for Talent leadership and hiring teams, including dashboards, ad hoc reporting, metric definitions, and visibility into hiring plan progress - Keep hiring data accurate and reconciled across the ATS, the hiring plan, and downstream systems so decisions get made on numbers people trust - Turn recurring Talent Operations requests into better systems: identify patterns, improve workflows, automate repeatable work, and make the right processes self-serve - Evaluate, procure, implement, and manage tools for sourcing, scheduling, reporting, and recruiting operations - Build the connective tissue between systems, including API-based reporting, integrations, and automations that reduce manual work for recruiters and coordinators - Lead process rollouts with clear documentation, training, adoption checks, and follow-through so changes stick WHAT WE’RE LOOKING FOR - 5+ years in recruiting, recruiting operations, talent operations, people systems, or a similar systems and data role in a high-growth environment - Deep ATS expertise, particularly Ashby. You can design how the system should work, not just maintain it, across custom fields, access roles, interview plans, automations, integrations, and reporting foundations - Strong analytical skills. You can take a vague question, decide what data would answer it, and build the report yourself - Proficient in Google Sheets or Excel. You can pull data together from multiple sources and turn the result into a case a cross-functional partner can follow - Experience owning data integrity across an ATS and the systems around it, including reconciling against a hiring plan or another source of truth - Strong program and change management skills. You can roll out a new process, teach it, measure adoption, and keep the team aligned - Clear written communication, strong documentation habits, high attention to detail, and good judgment in a fast-moving environment NICE-TO-HAVES - Experience building or scaling a recruiting operations function at a post-Series B/C company - Experience supporting technical recruiting teams or high-volume engineering hiring - Hands-on experience with the Ashby API or ATS-based reporting - Exposure to headcount planning or headcount management systems - AI fluency, with good judgment about where AI helps, where it adds risk, and what checks are needed before others rely on the output If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. You’ll build the systems that let any knowledge worker leverage fast, scalable databases without having to become a DBA. You’ll be a hands-on technical leader, helping set the architectural direction and roadmap as we take a new product from early alpha to general availability. You’ll work directly with early customers to shape foundational technical and product decisions. Then, together, we’ll work on scaling as adoption and workloads grow. This is a backend-leaning role with work spanning the stack. You might build the systems that provision and manage a fleet of customer Postgres instances, design how user-defined schemas evolve safely, or make complex queries execute efficiently. You’ll also follow those systems into the product: improving how a table loads, how users understand a slow operation, or how an agent safely works with their data. You’ll help shape the architecture and the product together. Some problems call for a better abstraction, others for a better default, and others for rethinking what we ask the user to do in the first place. You’ll work with teammates and customers to find those answers, ship practical solutions, and evolve them as usage grows. Our stack includes Postgres, Go, TypeScript, Node.js, and React. ABOUT THE TEAM: The people who understand a business best aren’t always the people who can build its software. A support lead knows how tickets should be triaged. An operations manager knows how inventory should move. But turning that knowledge into a reliable system often means finding an engineer, provisioning a database, and building an application. We’re building database infrastructure for everyone else. We want everyday knowledge workers to bring their data into Notion, connect it, and build workflows around it. And do so with the power of a real database (Postgres!) and the approachability of a tool they already know. AI agents make that opportunity even bigger: helping people build and operate systems they couldn’t have created on their own. For our team, this is much more than putting a friendly interface on Postgres. It means making hard database problems disappear from the user’s workflow without sacrificing correctness, performance, or flexibility. How do you let someone reshape a live database as easily as editing a document? Make the right indexes exist without asking someone to become a DBA? Let a weekend experiment grow into a company’s system of record without anyone having to rearchitect it? WHAT YOU'LL ACHIEVE: - Take a new product from alpha to general availability. Work with early customers to understand what matters, iterate on feedback, and help shape what we ship. - Make real customer workloads fast. Improve query execution, indexing, and client data loading so performance holds up as datasets grow and workflows become more demanding. - Build systems businesses can trust with their data. Make schema changes, concurrent writes, permissions, and recovery reliable enough for customers to build essential workflows on top. - Make powerful capabilities approachable. Turn database provisioning, migrations, and indexes into a reliable, easy-to-use product experience that gives people the power of a database without the burden of managing one. - Build for the customers who come next. Automate database provisioning and fleet operations, strengthen observability, and evolve the architecture so we can serve many, many customers. SKILLS YOU'LL NEED TO BRING: - Production relational database experience (e.g., Postgres or MySQL). You’ve made decisions about schemas and indexes, analyzed database performance, and debugged issues involving transactions, locking, or concurrency. Your experience goes beyond accessing a database through an ORM. - Engineering experience and technical leadership. You bring 10+ years of experience building and operating production software, with a track record of setting technical direction and leading complex, cross-team initiatives from concept through delivery. You identify the most important problems to solve, turn ambiguous goals into a technical strategy, and align engineers and partner teams around a practical plan. You stay hands-on while helping others make better decisions through design reviews, mentorship, and clear technical guidance. - Strong backend engineering fundamentals. You’ve built services that need to remain correct under concurrency and failure. You can reason about retries, partial failures, consistency, and the trade-offs involved in reliable reads and writes. - A systematic approach to performance. You use query plans, traces, profiles, and experiments to find bottlenecks and verify improvements. You’re willing to follow a problem across storage, services, and client code rather than stopping at a team boundary. - Product judgment. You’re interested in who will use what you build, not just how it works. You can turn a customer’s problem into a technical approach and recognize when a better default or simpler workflow would solve it more effectively. - Willingness to work across the stack. You bring backend depth, but you’re comfortable learning unfamiliar systems and working in client code when that’s what delivering a good experience requires. - Fluency with AI-assisted engineering. You use AI to accelerate exploration, implementation, and testing while taking responsibility for understanding and validating the result. NICE TO HAVES: - Experience managing fleets of databases or building database platforms, including provisioning, upgrades, backups, and recovery. - Deep Postgres expertise, such as advanced query optimization, performance tuning, or workload isolation for large datasets and high-concurrency workloads. - Experience building query layers, sync engines, change-data-capture pipelines, permission systems, or other reusable data abstractions. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $234,000 – $352,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote, Global Workplace: Remote About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for a FinOps Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the Terraform or Lambda that ships the fix, working on a product feature chasing a number until it reconciles, and influencing product decisions when cost to reliability tradeoffs hit. Strong communication matters as much as technical depth, you'll regularly explain a savings case to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. - Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. - Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. - Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards engineering and finance can both read. You Might Be a Good Fit If You - Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. - Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). - Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. - Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. - Can analyze cost data and present it clearly to both technical and non-technical audiences. - Have prior experience in a FinOps, cloud cost management, or cloud governance role. - Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San Francisco; New York Workplace: Remote ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT THE ROLE: We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team. This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal. This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations. The profile we're hiring is a technical account manager. You've worked at companies that are deeply technical and consumption in nature. You bring the commercial instincts to grow revenue from an existing base and enough technical depth to know which conversation actually matters. And you can credibly work with a CxO all the way down to a Developer. WHAT THE ROLE IS: - A founding seat. You're helping build the AM function with us, not joining one that already runs. The account plans, expansion motions, and customer cadence you and the rest of the founding team figure out are what we scale to every AM we hire after you. - A technical customer-facing role. You'll work directly with Developers and ML teams on what they're building and how Modal fits. You translate and triage the deeper technical work to FDEs and Product when it's needed. - A book of business. You’ll own a set of accounts and be responsible for the revenue that comes from them. Expect to be meeting with customers in your first few days because the best playbooks are built from real experiences. WHAT THE ROLE IS NOT: - A traditional post-sales role. You're measured on revenue, not health scores. - An on-call support function. You're not fixing bugs or triaging tickets. You're driving growth. - A technical delivery role. You're not implementing for the customer. You know where the technical work goes and you pull in the right people. - An inherited motion. Nothing is handed to you. If you identify gaps in process, tooling, or a playbook — you help build it. - A single-lane job. Our priorities go customer → company → team → me. We focus on delivering maximum impact vs. "this is my job". WHAT YOU'LL ACHIEVE: - Build Modal's account management function and iterate on it as we scale the business - Own and deliver on a revenue target across your book of accounts - Grow an account's first use case, expand into a second, and drive standardization across the Modal platform - Get fluent enough in Modal to hold your own with engineering teams on their workloads, and know when to pull in FDEs, Support, or Product - Work with Sales, Solutions Architects, FDEs, Support, and Product to grow accounts and feed customer signal back into the roadmap - Travel to customers as needed to support key accounts and drive expansion opportunities WHAT YOU'LL NEED TO BRING: - Customer-facing experience. You've owned a revenue target or supported a revenue target in a highly technical, consumption business. - Technical depth. You work autonomously with Developers through CxOs and understand the core parts of the developer tech stack. - AI builder. You're hands on building with AI tools — not just consuming workflows that were built for you. - Ownership. You run your book of business and projects like you're the CEO of it. You're highly organized bringing stability, predictability, and pace to your work. You take action vs. waiting for direction. - Learning velocity. You operate with the mindset of what I can do today vs. let me pick this up tomorrow. You move fast, take the learnings, and iterate on it. - Cross-functional partner. Low ego, easy to work with, and highly accountable. You ask for feedback, you act on it, and you'd rather be corrected early than right late. Internal teams love working with you. NICE-TO-HAVE: - Experience as a Technical Account Manager, Solutions Engineer, Solutions Consultant, or similar type role - Certification as an engineer (ex. Computer Science Degree, Professional Bootcamps) - Early GTM hire experience at a fast-growing startup - You've sat close to GPU spend, model training, or inference workloads

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE This is an opportunity to serve as a key partner and advisor on Notion’s Business Operations team, working primarily with our Engineering, Product, & Design teams. Business Operations is a cross-functional team that partners with senior leaders across the company, focusing on high-impact strategic projects and analysis. In this role, you’ll work hand-in-hand with leadership to identify, structure, and act on the most challenging strategic and operational questions impacting our business. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Build trusted relationships with cross-functional leaders to define and implement strategy across all Notion products, driving increased value to our users and our business - Structure complex, ambiguous strategic problems for the Notion leadership team, defining clear hypotheses and building detailed business cases and quantitative models that will inform and influence our approach - Work closely with cross-functional leaders to define and manage key drivers of business performance, identifying areas of opportunity and incorporating them into your work - Develop a comprehensive understanding of our competitive positioning by using, assessing, and developing insights about peer businesses to inform your recommendations - Deeply understand Notion customers and the broader market landscape to uncover insights that inform your recommendations - Create scalable solutions that combine a broad vision for what is possible with an understanding of the practical demands that constrain them SKILLS YOU'LL BRING - 5+ years of strategy experience, including 2+ years of experience in management consulting or a related field - Excellent quantitative and financial modeling skills, with the attention to detail and quality bar required for decisions that affect products and the business - Outstanding executive-level written and verbal communication skills; can operate independently with senior stakeholders and manage relationships, deliverables, and timelines with minimal supervision - Genuine enthusiasm for and proficiency with AI tools; we use AI across the board to move faster and work smarter, and you do too - Hands-on fluency with modern AI tools such as Notion AI, Claude, ChatGPT, or similar; you actively experiment with new models and workflows and use judgment to apply them responsibly - Data self-sufficiency, including working knowledge of SQL and the ability to access, assess, and synthesize relevant data without relying on outside support - Comfort working in a high-growth, constantly changing environment with passion and enthusiasm NICE TO HAVES - Prior experience in strategy and operations in B2B SaaS businesses - Experience with pricing & packaging, especially for AI products Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $175,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it Run audits of who-has-what and reconcile physical counts against the system of record Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar Build out the refresh calendar and advance it across offices Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile Run day-to-day operations for the corporate mobile program and write its runbook Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model Have run an e-waste or secure disposal program with certified partners and chain-of-custody records Have managed reseller or vendor relationships for hardware purchasing and asset disposal Write things down: runbooks, how-to guides and knowledge base articles Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also Have supported a corporate mobile program or carrier account Have basic scripting experience (Bash or Python) for inventory or reporting automation Have experience using AI tools to improve personal or team productivity Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $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. 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.

Ищем разработчика, который поможет выстроить тестовую инфраструктуру мобильного приложения Holisto и сделать разработку быстрее и стабильнее. Приложение уже имеет рабочую версию V3 на Flutter, которая тестируется на первых пользователях. В планах выпуск V4 с улучшениями по результатам beta-тестов и V5 для публичного запуска. Задача — работать с уже существующим продуктом, обеспечивая, чтобы новые изменения не ломали уже работающие функции. Задачи: — разобраться в существующем коде и логике V3 — восстановить требования по уже реализованным функциям — превратить основные сценарии в тест-кейсы — писать Flutter-тесты — постепенно покрывать критические пользовательские сценарии golden и E2E тестами — подключать тесты и покрытие к CI — ловить регрессии между версиями V3, V4, V5 — находить edge cases до того, как их обнаружат beta-пользователи — тестировать AI-функции Holisto, развивая подход к автоматическому тестированию LLM Особенность: значительная часть разработки автоматизируется через AI-агентов, тест-кейсы служат машинопроверяемыми контрактами, которые помогают выявлять ошибки до релиза. Требования: — знание Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов — базовое понимание unit, widget, integration, E2E тестирования — умение точно формулировать требования — внимательность к деталям — интерес к AI / LLM и современной разработке — желание разбираться в существующем продукте, а не только писать новые функции — коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться Условия: — удалённая работа, частичная занятость, можно совмещать с учебой или основной работой — формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости — возможно получение доли в зарегистрированной Delaware-компании — возможность перехода на оплачиваемый формат при хорошем результате — роль может вырасти вместе с engineering-командой Holisto Дополнительно приветствуется опыт работы с CI/CD, использование AI-инструментов в разработке, наличие GitHub / pet-проектов / примеров кода.

Задачи: — разобраться в существующем коде и логике V3 — восстановить требования по уже реализованным фичам — превратить основные сценарии в test cases — писать Flutter-тесты — постепенно покрывать критические user flows golden и E2E тестами — подключать тесты и coverage к CI — ловить regressions между V3 - V4 - V5 — находить edge cases до того, как их находят beta users — тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM Требования: — Dart / Flutter на уровне «читаю чужой код и могу самостоятельно написать тест» — базовое понимание unit / widget / integration / E2E testing — умение точно формулировать требования — внимательность к мелочам — интерес к AI / LLM и современной разработке — желание разбираться в существующем продукте, а не только писать новые фичи — коммерческий опыт не обязателен Условия: — удалённая работа, частичная занятость (part-time) — можно совмещать с учебой или основной работой — формат и мотивацию обсуждаем отдельно в зависимости от опыта и уровня вовлечённости — возможно получение доли в уже зарегистрированной Delaware-компании — возможен переход на оплачиваемый формат при хорошем результате — роль может постепенно вырасти вместе с engineering-командой Holisto

Задачи: — разобраться в существующем коде и логике V3 — восстановить требования по уже реализованным функциям — превратить основные сценарии в test cases — писать Flutter-тесты — постепенно покрывать критические user flows golden и E2E тестами — подключать тесты и coverage к CI — ловить регрессии между версиями V3, V4, V5 — находить edge cases до того, как их находят beta users — тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM Требования: — Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов — базовое понимание unit, widget, integration, E2E testing — умение точно формулировать требования — внимательность к деталям — интерес к AI / LLM и современной разработке — желание разбираться в существующем продукте, а не только писать новые функции — коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться Условия: — удалённая работа, частичная занятость (part-time), можно совмещать с учебой или основной работой — формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости — возможно получение доли в зарегистрированной Delaware-компании — возможен переход на оплачиваемый формат при хорошем результате — роль может вырасти вместе с engineering-командой Holisto Особенности: — значительная часть разработки автоматизируется через AI-агентов — тест-кейсы являются машинопроверяемыми контрактами — поддержка тимлида, помощь с погружением и review каждого PR Дополнительно: — приветствуются примеры кода, GitHub, pet-проекты — в отклике желательно указать опыт с Dart / Flutter, виды тестов, опыт с CI/CD, используемые AI-инструменты, время, готовое уделять проекту

Задачи: — разобраться в существующем коде и логике V3 — восстановить требования по уже реализованным функциям — превратить основные сценарии в test cases — писать Flutter-тесты — постепенно покрывать критические user flows golden и E2E тестами — подключать тесты и coverage к CI — ловить регрессии между версиями V3, V4, V5 — находить edge cases до того, как их находят beta users — тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM Требования: — Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов — базовое понимание unit, widget, integration, E2E testing — умение точно формулировать требования — внимательность к деталям — интерес к AI / LLM и современной разработке — желание разбираться в существующем продукте, а не только писать новые функции — коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться Условия: — удалённая работа, частичная занятость (part-time), можно совмещать с учебой или основной работой — формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости — возможно получение доли в зарегистрированной Delaware-компании — возможен переход на оплачиваемый формат при хорошем результате — роль может вырасти вместе с engineering-командой Holisto Особенности: — значительная часть разработки автоматизируется через AI-агентов — тест-кейсы являются машинопроверяемыми контрактами — поддержка тимлида, помощь с погружением и review каждого PR Дополнительно: — приветствуются примеры кода, GitHub, pet-проекты — в отклике желательно указать опыт с Dart / Flutter, виды тестов, опыт с CI/CD, используемые AI-инструменты, время, готовое уделять проекту

Location: Paris, France WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The Notion EMEA Recruiting team acts as trusted business partners who craft a thorough, inclusive, and curated interviewing experience. We believe hiring exceptional talent, at the right time, is the best path forward to achieve our company’s ambitious goals. We’re looking for a Go-to-Market Recruiter to support our growth across key Go-to-Market (GTM) teams in EMEA, with an emphasis on Sales. In this role, you'll help shape our recruiting strategy, manage full-cycle hiring efforts, and ensure a delightful yet rigorous hiring process. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Serve as a trusted recruiting partner to leaders across the GTM org, owning the full recruiting lifecycle from sourcing through successful close - Design and implement creative sourcing strategies to attract diverse top talent across EMEA markets - Ensure scalable and structured hiring plans with consistent evaluation processes while creating thoughtful candidate experiences - Partner with cross-functional teams including Total Rewards, People Operations, and People Partners to drive holistic talent strategies - Leverage AI tools, to innovate recruiting processes and provide data-driven insights on market conditions - Champion and scale best practices while thoughtfully adapting for regional nuances SKILLS YOU'LL NEED TO BRING: - 5+ years of full-cycle recruiting experience in high-growth, technical, GTM functions - Fluency in French and English - Proven track record of identifying, qualifying, and closing exceptional talent across various levels - Experience coaching and advising hiring managers through our recruiting process while keeping talent density as a priority - Ability to build diverse candidate pipelines and guide hiring managers in creating inclusive teams - Outstanding communication, attention to detail, and interpersonal skills with a commitment to delivering high-quality recruiting experiences - Ability to thrive in fast-paced, dynamic environments NICE TO HAVES: - Passionate about leveraging technology and AI to transform recruiting processes Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €98,000-€109,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.