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Location: Remote in the United States; San Francisco Bay Area Workplace: Remote At Sanity, we're building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like Linear, Figma, Riot Games, Anthropic, Spotify, Arc’teryx and Morningbrew are using Sanity to power and automate their content operations. In this role, you'll help build the full vertical for AI-native development at Sanity – from advancing our Model Context Protocol (MCP) server to shipping agentic systems that can scaffold Sanity apps, Studios, and full-stack frontends. You'll work closely with a designer, product manager, and fellow engineers to move fast, experiment constantly, and turn emerging AI capabilities into real products. If you're the kind of person who stays up late tinkering with new model releases and thinks in terms of what's possible rather than what's been done before, this is your role. Here's some of what we've shipped recently: - Sanity MCP Server https://mcp.sanity.io – our remote MCP server, now generally available https://www.sanity.io/blog/sanity-remote-mcp-server-is-generally-available and listed as one of eight official MCP servers in Vercel's v0. - Sanity Agent Toolkit https://github.com/sanity-io/agent-toolkit – agent rules exposed via MCP, plus a Claude Code plugin with skills and slash commands. - Auto-configured MCP in the CLI https://www.sanity.io/docs/changelog/beb93f6c-7913-4ea7-8bbb-847ba7b51b19– the Sanity CLI automatically detects code editors and configures the MCP server for you. WHAT YOU WILL DO - Advance our MCP server – add new capabilities, tools, and integrations that let AI agents interact deeply with Sanity's content platform. - Build agentic developer tools – ship systems that can generate Sanity apps and studios, as well as frontend code with minimal human guidance. - Design and run evals – build evaluation suites using Braintrust to catch regressions, measure improvements, and make data-driven decisions about prompt and model changes. - Build a Sanity MCP app https://blog.modelcontextprotocol.io/posts/2025-11-21-mcp-apps/ – create rich React interfaces on top of the MCP protocol for platforms like ChatGPT (using the new ChatGPT Apps SDK https://developers.openai.com/apps-sdk/build/chatgpt-ui) and Claude. - Move across the stack daily – one day you're designing a new MCP tool, the next you're polishing a React component or deploying a new microservice. - Apply prompt engineering craft – diagnose why models fail, steer them effectively, and build intuition for what makes prompts work at scale. - Ship production AI features – write clean, well-tested TypeScript and turn experiments into reliable capabilities that thousands of developers use. - Collaborate with the team – work closely with design, product, and engineering to iterate quickly and share what you learn. ABOUT YOU: - Based in Remote US or San Francisco / Bay Area – if you are in San Francisco/ Bay Area, you should be able to work at least 2 days a week from the office. - Strong TypeScript, React, and Node.js skills – you're comfortable moving between frontend and backend, and a pure specialist profile isn't what we're after. - Shipped AI-powered code to production – whether at work or through side projects, you've built real things with OpenAI, Anthropic, or Vercel AI SDKs. - Actively using MCP in your workflow – you've enhanced your own development with MCP servers. Bonus if you've built one yourself. - Fluent in the current AI landscape – you can articulate the differences between Claude Opus 4.5, Gemini 3, and GPT-5.2, and you have opinions on tools like Cursor, Claude Code, Lovable, and v0. - Hungry and curious – you're obsessed with the craft, experimenting constantly, and energized by how fast this space moves. - Strong prompt intuition – you can "decode" why a model is hallucinating or ignoring instructions without relying solely on automated evals. - Collaborative and clear communicator – you work well with designers and product managers, and you can explain complex AI concepts simply. Not sure you meet every requirement? If you're building in this space and can't stop thinking about what's next, we want to hear from you. WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive stock options program WHO WE ARE: Sanity https://www.sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Location: Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. Responsibilities Build full-stack end-to-end across the People Products portfolio. Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes. Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers. Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input. Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have shipped LLM-native features or applications. Derive joy from hard work and the act of creation. Are experienced enough to build big features independently, and make great architectural decisions along the way. Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you. Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure. Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly. Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle. Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better. Strong Candidates May Also Have: Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production. Background at an AI-native company or in a product-focused 0->1 engineering environment. Experience with HR tech platforms such as Greenhouse, Workday, or Rippling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY; San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Write the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. - Lead the creation and execution of developer training and enablement programs. - Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption. - Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development. - Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community. - One important aspect of this role is presenting educational content to customers, both live and on video. If you have recordings of any presentations you've given in the past, add links to one or two of your favorites here. WHAT YOU'LL BRING - Passion for helping customers across small and large enterprises learn to build exceptional AI Agents. - Degree in Computer Science or related field, or equivalent professional experience. - 4+ years of experience in hands-on software development of highly technical products or developer relations roles. - Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions. - Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents. - Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs. - Demonstrated experience in designing and executing technical training, certification, or community initiatives. EVEN BETTER... - Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers. - Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems. - Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or Cursor - Experience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

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

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients. ABOUT THE PROJECT Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents. Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels. We are developing a customer support research and resolution platform. The platform will include: - data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. - agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes - research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers) The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.   WHAT YOU’LL DO - Design and implement AI-powered features: integrate LLM and build AI agents. - Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete. - Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents. - Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases. - Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments. - Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI. - Participate in technical design reviews, shaping architectural decisions and engineering standards. WHO ARE YOU - You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors. - You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built. - You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically). - You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems. - You have a strong understanding of distributed systems design patterns. - You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively. - You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications. - You are fluent in at least one non-JS programming language (Java is a strong advantage). - You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives. - You thrive in environments where AI isn’t a side feature but a core building block. - You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed. - You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments. WHAT YOU BRING - 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js. - 9+ months of commercial experience building AI features using OpenAI ecosystem. - Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows. - Experience designing and implementing MCP servers to integrate external capabilities with LLMs. - Proven ability to design structured prompt architectures with evals, guardrails and observability. - Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration. - Strong fundamentals in building secure, performant, production-grade APIs and backend systems. - Experience with CI/CD, testing, monitoring, and cloud infrastructure. ADDITIONAL SKILLS - Understanding concepts of semantic search is a strong advantage. - Experience playing a role of team leaders is a strong advantage. - Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage. - Experience with streaming UIs, conversational UX, and SSE/WebSockets. - Knowledge of prompt injection defenses and responsible AI practices. TECH STACK This platform is a green-field development. - Core: TypeScript, Node.js, React/Next.js, Java - AI: OpenAI API, MCP servers, OpenAI Agents SDK - APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much) - Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines - Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

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 Research Product Manager for the Labs teams at Anthropic, you will own the ideation and development of new, moonshot products as we advance transformative, safe AI. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet. The team focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code and MCP. We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation, with the ability to identify and ultimately define entirely new product categories enabled by AI. Responsibilities: Work with researchers to understand what's emerging and what it means for users Identify nascent research capabilities that could become transformative products Build prototypes yourself to validate ideas before committing resources Lead 0-to-1 product development from research to internal prototypes to shipped products Define product strategy for experimental initiatives that push beyond our current offerings Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Minimum Qualifications You might be a good fit if you: Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Have a track record of launching ambitious products that have found distribution or commercial success Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and hands-on with emerging research and industry trends Prototype with AI tools like Claude Code Preferred Qualifications Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus. 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: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: Hybrid - London, Berlin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Forward Deployed Engineer on the Professional Services team, you’ll work hands-on-keyboard inside strategic enterprise customers, modernizing legacy frontends to Next.js and building production AI agents. You’ll own the work from technical discovery to shipped TypeScript, whether that’s moving a React app to App Router, auditing a codebase for performance, or deploying agents with Vercel’s eve framework and AI SDK. The role has two profiles: Next.js experts focus on code optimization, performance audits, and SEO and AEO (answer engine optimization), while AI builders scope, design, and ship agents that prove their value. This is a hybrid role with 3 in-office days per week in London or Berlin. What you’ll do Build production AI agents, MCP servers, and agentic workflows with Vercel’s eve framework, AI SDK, and AI Cloud Lead migrations from legacy React, Vue, and other frameworks to Next.js, including Pages Router to App Router, and automate them where possible Audit customer codebases for performance bottlenecks and anti-patterns, and deliver roadmaps with measurable improvements Architect Next.js applications with App Router, Server Components, streaming, and ISR for enterprise scale Run workshops and pair programming so customer teams can maintain what you ship What you need 6+ years of software engineering experience, including 2+ years in a customer-facing technical role (consulting, solutions architecture, forward deployed engineering, or technical founder) Built and deployed web applications, backend systems, or agentic workflows using AI tooling such as harnesses, skills, and MCP servers Expert-level TypeScript and React experience shipping production applications Next.js experts: Led a legacy frontend migration to Next.js, or shipped a production Next.js application using App Router and Server Components AI builders: Built production LLM agents, including sandbox and filesystem agent patterns and human-in-the-loop flows Ran technical discovery and presented to executives at enterprise customers, with occasional travel to customer sites Bonus if you Led an enterprise AI initiative that shipped production agents replacing manual processes or legacy systems Diagnosed and fixed LCP, CLS, and INP issues at scale Contributed to Next.js, React, or AI SDK open source Benefits: Great compensation package and stock options. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 We're at an inflection point for what it means to build for developers and agents. The way engineers discover, integrate, and work with APIs is changing fast, and we're actively building the infrastructure to meet that shift. Developers still integrate WorkOS, but increasingly their agents do it for them. This team owns every way into WorkOS that isn't the dashboard: SDKs in 9 languages, now generated from our API spec; an AI installer CLI that sets up AuthKit in any project; our MCP servers and agent skills; and other not released projects we're building in-house. You'd ship daily with agents as collaborators, and your code goes into other people's apps. The roadmap comes from watching real integrations: friction logs, shared customer Slack channels and telemetry. The goal is that when a developer (or their agent) needs enterprise-ready auth, WorkOS is the easiest path forward regardless of stack, language, or how they're building. What you'll work on - Ship agent tools and skills so developers (and their agents) can integrate WorkOS without friction - Write evaluations to measure whether what you ship actually improves developer outcomes - Talk to customers, surface insights, and translate them into roadmap - Contribute to the architecture and tooling for fully generated, polyglot SDK pipelines — so a change to the API propagates cleanly across all languages - Own and evolve SDKs across our seven supported languages (Node/TypeScript, Python, Ruby, Go, Java, PHP, .NET) and framework libraries like our Next.js, Remix, and TanStack integrations - Build and extend AI-native documentation systems as structured context that makes WorkOS work well in Cursor, Claude, Copilot, and agentic workflows - Represent WorkOS publicly through docs, blog posts, OSS, and occasional conference appearances - Build developer tooling like the WorkOS CLI that make complex integrations feel trivial What we're looking for - 5+ years of software development experience with a real track record of shipping and maintaining SDKs or OSS projects - Deep fluency in at least three of our supported languages; you should have strong opinions about what idiomatic code looks like in each - Experience with or genuine excitement about AI-native tooling: agent SDKs, context engineering, evals, LLM-powered CLIs - Interest in documentation as infrastructure, not just prose - Strong instincts for what makes a developer experience good vs. merely functional - Experience owning projects end-to-end and driving decisions based on customer impact Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Linz, Austria Workplace: hybrid TeamViewer is a leading Digital Workplace platform that connects people with technology - helping organizations enable, improve, and automate digital processes so work works better. Our solutions combine connectivity, data, automation, and AI to shape the future of digital work for millions of users around the world. We are looking for a technically strong and product-minded Product Manager to join our AI Product Team and shape how TeamViewer connects with partner systems, data sources, AI frameworks, and agentic ecosystems. In this role, you will define and drive a cross-product integration roadmap that helps customers, partners, and internal teams unlock more value from TeamViewer products. You will work at the intersection of AI, APIs, data, enterprise software, and partnerships - turning technical possibilities into scalable product capabilities with real customer impact. Responsibilities Own the integration strategy and roadmap: Define where and how TeamViewer should integrate with third-party systems across the product portfolio, balancing customer value, partner opportunity, technical feasibility, and long-term platform scalability. Build impactful partner and data integrations: Identify, prioritize, and deliver integrations that connect TeamViewer with partner and customer systems to extract, contribute, synchronize, and operationalize data in secure, reliable, and enterprise-ready ways. Shape our agentic AI ecosystem: Help define TeamViewer’s approach to AI interoperability, including integrations with AI frameworks, model and tool ecosystems, Model Context Protocol (MCP), Agent-to-Agent (A2A) patterns, and emerging standards for agent-to-tool and agent-to-agent communication. Turn complex needs into clear product requirements: Translate partner, customer, and internal use cases into crisp product requirements, API contracts, integration specifications, acceptance criteria, and technical trade-offs that engineering teams can execute with confidence. Drive partnerships from idea to adoption: Collaborate with Business Development, Partnerships, Engineering, Security, Legal, Sales, Customer Success, and external partners to evaluate opportunities, align joint roadmaps, remove blockers, and bring integrations successfully to market. Create reusable platform capabilities: Scale integration work beyond individual projects by driving reusable connectors, documentation, enablement materials, observability, success metrics, and self-service patterns that can be adopted across TeamViewer products. Requirements Several years of experience in technical product management, platform product management, API products, enterprise integrations, developer ecosystems, AI products, or comparable B2B SaaS roles. Strong technical fluency in APIs, data exchange patterns, webhooks, authentication and authorization concepts, integration middleware, cloud platforms, and enterprise-grade reliability, scalability, privacy, and security expectations. Proven ability to define and deliver third-party integrations, excellent partner management skills, connector platforms, partner-facing APIs, or data-intensive products that connect multiple systems and workflows. Curiosity and practical experience with AI and GenAI ecosystems, including LLM application patterns, tool calling, retrieval-augmented generation, AI framework integrations, agentic workflows, MCP, A2A, or comparable interoperability standards. Comfort working closely with engineering teams on architecture, feasibility, technical dependencies, release planning, quality, observability, and operational readiness. A customer- and metrics-oriented mindset, using discovery, market analysis, usage data, and business impact to prioritize integration opportunities and measure success. Clear written and verbal communication skills in English; German is a plus. A technical degree in Computer Science, Engineering, Data Science, AI, or equivalent practical experience is preferred. What we offer An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, standard level with classification ST1/rule) 28 days of well-deserved holidays Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Public transport friendly office Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy, no dress code rules, frequent All Hands and Leadership Lunches Hybrid and Flexible work time with up to 50% home office Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

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

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

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 The Pipes & Vault team is responsible for building products that connect third-party data, services, and secrets to applications and AI agents. They form a backbone of data infrastructure and agentic workflows for our customers: - Pipes connects external data sources to our customers’ apps and agents - Vault secures credentials and secrets that are used across fleets of agents - Pipes MCP defines authority for agents to take action through integrations Unique to this team is that we also lead internal R&D efforts that leverage our products in novel ways. Examples include an agentic BI tool built on top of Pipes that reimagines how our support teams gets customer insights from internal data lakes, and a new web framework for apps with enterprise-grade security as the default. You'll work across a wide surface area, designing APIs for integrations, building secure storage and key management systems, contributing to open-source specs, and prototyping entirely new developer tools. Engineers on this team care deeply about reliability, security, and developer experience, and move quickly between shipped product work and exploratory R&D. RESPONSIBILITIES ✔️ - Design and build APIs, data connectors, and real-time pipelines that power Pipes and Pipes MCP - Architect systems for encryption, secure storage, key rotation, and secret management in Vault - Contribute to the Pipes MCP specification, defining how agents are granted scoped authority over integrations - Develop a deep understanding of the integrations and data infrastructure landscape and shape product direction across the team's portfolio - Expand product scope through value-add features based on customer input - Work closely with customers to understand integration, security, and compliance requirements - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members QUALIFICATIONS 🌟 - 5+ years of industry software development experience - Experience working on small teams in fast-paced environments - Background in building systems that solve for security, encryption, storage, multi-tenant data isolation, or large-scale data platforms - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Lagos, Nigeria The Treasury Manager is responsible for managing Renmoney’s liquidity, funding, and treasury risk framework, ensuring adequate liquidity to support loan growth, optimizing funding costs, and maintaining strict compliance with CBN regulations applicable to finance companies and microfinance-regulated entities (where applicable). The role provides leadership in liquidity forecasting, scenario analysis, stress testing, funding strategy execution, ALCO support, and stakeholder management, while upholding the highest standards of integrity, governance, and regulatory compliance. Key Responsibilities 1. Liquidity Management & Forecasting Own and manage Renmoney’s daily, weekly, and medium-term liquidity position Develop and maintain cash flow forecasts aligned with loan disbursement and repayment cycles Ensure adequate liquidity buffers in line with internal policy and regulatory expectations Monitor liquidity ratios, early-warning indicators, and funding gaps 2. Scenario Analysis & Stress Testing Design, implement, and review liquidity stress tests and scenario analyses (base, adverse, and severe) Assess the impact of funding withdrawals, market shocks, and portfolio stress Recommend contingency funding actions and risk mitigation strategies Present stress-testing outcomes and recommendations to ALCO and Senior Management 3. Funding Strategy, Markets & Execution Develop and execute funding strategies across bank borrowings, Commercial Paper (CP), REPOs, and alternative funding structures Demonstrate a strong understanding of money market instruments and derivative products used for funding and risk management Monitor market conditions, pricing trends, investor appetite, and rollover risks Optimize cost of funds within approved liquidity and risk limits 4. Commercial Paper (CP) & Capital Markets Support the structuring, issuance, and management of Commercial Paper programmes Liaise with issuing houses, trustees, rating agencies, and investors Monitor CP maturity profiles and refinancing risks Ensure compliance with regulatory, documentation, and disclosure requirements 5. Banking & Counterparty Relationship Management Build and maintain strong relationships with deposit money banks, financial institutions, and market counterparties Negotiate funding lines, pricing, covenants, and terms Manage counterparty concentration and diversification Act as Renmoney’s primary treasury interface with banking partners 6. ALCO & Management Reporting Prepare and present comprehensive ALCO packs, including liquidity dashboards, funding analysis, stress-testing results, and market outlook Provide clear, actionable recommendations to ALCO Track and implement ALCO decisions and resolutions 7. Risk Management, Controls & Regulatory Compliance Ensure full compliance with CBN regulations, including requirements applicable to Microfinance Banks and finance companies (as relevant) Ensure adherence to internal treasury policies, approval limits, and delegation of authority Maintain strong treasury controls, segregation of duties, and audit trails Support internal audit, external audit, and CBN examinations 8. Stakeholder Management (Internal & Regulatory) Collaborate effectively with Finance, Risk, Compliance, Operations, and Business Teams Support engagement with regulators and respond to regulatory inquiries Translate regulatory developments into operational and policy actions 9. People Management, Ethics & Leadership Lead, mentor, and develop treasury team members Review and validate treasury analyses and reports Foster a culture of integrity, accountability, professionalism, and compliance Requirements Education Bachelor’s degree in Finance, Accounting, Economics, or Business Administration MBA or MSc Finance – added advantage Professional, Regulatory & Mandatory Certifications Mandatory / CBN-Recognised Microfinance Certification Programme (MCP) – mandatory or in progress, in line with CBN requirements for Microfinance Bank and regulated financial institution staff Professional Certifications (Strongly Preferred) CIBN (Associate or Full Member) ACI Dealing Certificate or ACT (AMCT / CTP) CFA (Level I or II) or FRM – added advantage Evidence of continuous professional development Analytical & Technical Skills Advanced liquidity modelling and forecasting Strong scenario analysis and stress-testing expertise Deep understanding of money market instruments, CP market, REPOs, and funding derivatives Strong quantitative and financial analysis capability Technical & Computer Skills Advanced Microsoft Excel (financial models, dashboards, sensitivity analysis) Strong PowerPoint skills for ALCO and senior management presentations Experience with treasury management systems and core banking platforms People Skills & Personal Attributes High ethical standards and integrity Strong leadership and mentoring ability Sound judgment and risk awareness Ability to work under pressure in dynamic environments Communication, Presentation & Stakeholder Skills Strong presentation skills at ALCO and the executive level Ability to explain complex treasury and market concepts clearly Strong negotiation and relationship-management capability 7–10 years of experience in Treasury, Financial Markets, or Banking / Non-Bank Financial Institutions Strong exposure to liquidity management, funding structures, CP issuance, and ALCO processes Experience in a microfinance or consumer lending environment is an advantage Key Performance Indicators (KPIs) Liquidity adequacy and stability Funding cost optimization Effectiveness of stress testing and scenario analysis Compliance with regulatory and treasury limits Quality of ALCO reporting and stakeholder engagement

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed 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: $200,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Forward Deployed Engineer on the Professional Services team, you’ll work hands-on-keyboard inside strategic enterprise customers, modernizing legacy frontends to Next.js and building production AI agents. You’ll own the work from technical discovery to shipped TypeScript, whether that’s moving a React app to App Router, auditing a codebase for performance, or deploying agents with Vercel’s eve framework and AI SDK. The role has two profiles: Next.js experts focus on code optimization, performance audits, and SEO and AEO (answer engine optimization), while AI builders scope, design, and ship agents that prove their value. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you’ll do Build production AI agents, MCP servers, and agentic workflows with Vercel’s eve framework, AI SDK, and AI Cloud Lead migrations from legacy React, Vue, and other frameworks to Next.js, including Pages Router to App Router, and automate them where possible Audit customer codebases for performance bottlenecks and anti-patterns, and deliver roadmaps with measurable improvements Architect Next.js applications with App Router, Server Components, streaming, and ISR for enterprise scale Run workshops and pair programming so customer teams can maintain what you ship What you need 6+ years of software engineering experience, including 2+ years in a customer-facing technical role (consulting, solutions architecture, forward deployed engineering, or technical founder) Built and deployed web applications, backend systems, or agentic workflows using AI tooling such as harnesses, skills, and MCP servers Expert-level TypeScript and React experience shipping production applications Next.js experts: Led a legacy frontend migration to Next.js, or shipped a production Next.js application using App Router and Server Components AI builders: Built production LLM agents, including sandbox and filesystem agent patterns and human-in-the-loop flows Ran technical discovery and presented to executives at enterprise customers, with occasional travel to customer sites Bonus if you Led an enterprise AI initiative that shipped production agents replacing manual processes or legacy systems Diagnosed and fixed LCP, CLS, and INP issues at scale Contributed to Next.js, React, or AI SDK open source The San Francisco, CA base pay range for this role is $137,000.00 - $207,000.00.  This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be  adjusted based on employee location.  The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation Generate documentation and insights to guide successful prototypes toward full product teams Advocate for user experience and product considerations early in the research process Provide feedback to research teams about model effectiveness and where capabilities can be improved Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities—context from one project should inform the next You may be a good fit if you Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments Thrive in ambiguity and are energized (not anxious) by uncertainty—you're comfortable working on projects that might not exist in three months Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff Are deeply user-centric—you validate ideas with actual users before over-investing and talk about problems before solutions Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments Hold strong opinions loosely—you advocate forcefully for ideas but change your mind based on evidence Are a generalist who can transition between different problem spaces as priorities shift Work independently with good judgment about what matters, without needing constant direction Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies Communicate effectively and translate complex AI capabilities into intuitive experiences Care about the societal impacts and ethics of your work Strong candidates may also have Experience building products that involve AI/ML components or working with large language models Experience collaborating directly with research teams in AI/ML environments Background conducting user research, interviews, and usability testing Experience across both B2B and B2C product development, or in multiple industries Design sensibility or hands-on experience with UI/UX for AI-powered applications Experience with real-time applications, WebSocket implementations, or complex frontend interactions What we're not looking for at this stage Deep specialists who can't adapt if their domain becomes irrelevant Engineers who've only succeeded in big-company structures with well-defined processes and long timelines People who are precious about their work or frame all past projects as successes Those who need clear roadmaps and get stressed by shifting priorities Candidates need not have 100% of the skills listed above Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.