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Location: Remote Ireland; Remote, Austria; Remote, France; Remote, Germany; Remote, Netherlands; Remote, Spain; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer. You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers. Why this role exists Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability. Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused. What you’ll do Product contribution Contribute production-quality code to GitLab’s product and adjacent systems. Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. Strategic technical stewardship Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. AI adoption and agentic software development lifecycle Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. Thought leadership Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability. What you’ll bring Staff-level experience building, operating, or improving complex production software systems. Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security. Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems. Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments. Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. The ability to coordinate across product, engineering, field, and customer teams without formal authority. Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization. Strongly preferred qualifications Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed. Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools. Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior. Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents. A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems. Experience working in open source or highly asynchronous engineering environments. Technologies and domains Directly relevant technologies and domains include: Ruby on Rails Go AI-assisted development and the agentic SDLC PostgreSQL Redis and Sidekiq Git internals GitLab CI/CD and Runner architecture Kubernetes and containers Terraform Linux, networking, observability, and performance analysis Vue and TypeScript APIs and automation DevSecOps governance, security, and compliance What this role is not This role isn't: A generic field engineering role. A proof-of-concept factory. A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering. A customer-specific customization function. Unbilled Professional Services. A requirements-gathering role that only escalates to Product. An AI evangelism role disconnected from product execution. Success measures Success in this role may include: Stabilizing strategic customer adoption or retention risks. Fixing product bugs or contributing features. Removing AI adoption blockers for strategic accounts. Creating reusable implementation patterns and transitioning them to long-term owners. Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives. Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering. Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field. Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts. About the team The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency. Ideal candidate profile You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome. You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership. We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team assess your application. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.   WHAT YOU'LL ACHIEVE: - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value.   SKILLS YOU'LL NEED TO BRING: - 2+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.   NICE TO HAVES: - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €85,000- €95,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Responsibilities: — Design, deploy, and operate production AI infrastructure for customer workloads. Requirements: — Experience with machine learning, Kubernetes, Java, Spark, IAM, Infrastructure-as-Code, Go, Terraform, networking, distributed computing, GCP, Python, GitOps, Dask, DevOps, AWS, Helm, CI/CD, and Security. Benefits: — Salary range $250,000 - $275,000.

Location: Los Angeles, California, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Los Angeles, CA Experience Level: 8+ years Compensation: $200,000–$250,000 base salary + equity Work Model: In-office, typically three to five days per week, depending on client requirements Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and in-office: Our work is client-first, which means in-person collaboration may be required either at the client site. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the Los Angeles Metro area or within a reasonable commuting distance. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Don’t Meet Every Qualification Yet? If you don’t meet every qualification for this role, we encourage you to apply to our Forward-Deployed AI Engineer (In Training) opportunity. This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; Poland; Serbia; Austria; Finland; Montenegro; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to build and lead a high-performing Deployment Strategist team that helps n8n's enterprise customers turn automation opportunities into measurable business impact. You'll own the methodology that drives successful Forward Deployed Engineering (FDE) engagements, accelerating customer adoption, getting high-value workflows into production, and enabling customers to become independent builders. To achieve this, you'll focus on four key areas: BUILD & LEAD THE DEPLOYMENT STRATEGIST TEAM - Hire, onboard, and coach a team of Deployment Strategists who partner with Forward Deployed Engineers to deliver high-impact customer engagements. - Set a high bar for executive discovery, ROI definition, change management, and customer handovers, ensuring consistent delivery quality across the team. - Stay hands-on by leading customer engagements yourself while building the team, creating a culture of ownership, continuous learning, and customer impact. OWN & SCALE THE DEPLOYMENT METHODOLOGY - Build and continuously improve our four-phase engagement methodology (Define, Identify, Co-build, Handover), including ROI frameworks, discovery guides, opportunity assessments, and handover templates. - Partner with CSMs, AEs, and Sales leadership to identify and qualify high-impact customer opportunities, define clear success criteria, and scope the right engagement model. - Turn learnings from workshops, hackathons, on-site builds, and staff augmentation engagements into repeatable playbooks that scale across FDE, Customer Success, and partner teams. DRIVE CUSTOMER ADOPTION & BUSINESS OUTCOMES - Lead executive discovery and ROI conversations to align customer stakeholders on high-value automation opportunities, success metrics, and organizational change. - Measure engagement success through workflows deployed to production, customer adoption improvements, and measurable business outcomes, rather than services delivery alone. - Ensure seamless handovers to Customer Success Managers and provide CS and GTM leadership with visibility into engagement results, customer ROI, and expansion opportunities. SCALE DELIVERY QUALITY & CROSS-FUNCTIONAL COLLABORATION - Partner with the Partner Delivery Manager and Partnerships teams to ensure external delivery partners follow the same engagement methodology and quality standards. - Help define readiness, certification, and quality expectations for partner Deployment Strategists to enable consistent customer experiences at scale. - Work closely with FDEs, Product, and Engineering to turn customer feedback, technical gaps, feature requests, and custom integration needs into actionable product insights. REQUIREMENTS MUST-HAVES - 🤝 Enterprise Customer Experience: You have 7+ years of experience in customer-facing roles such as professional services, solutions consulting, implementation, or customer success within a software company. - 🌟 People Leadership: You have 2+ years of experience leading, coaching, and developing customer-facing teams, with a track record of building high-performing teams. - 🚀 0-to-1 Builder Experience: You've built or scaled a deployment, implementation, or professional services function and know how to create structure and repeatable processes in an evolving environment. - 💼 Executive Stakeholder Management: You're experienced in leading executive discovery, building compelling ROI cases, and securing buy-in from multiple stakeholders within enterprise organizations. - 🛠️ Technical Fluency: You're comfortable discussing workflow automation, integrations, and AI use cases with technical stakeholders and collaborating closely with engineers without needing to write code yourself. - 📊 Operational Excellence: You know how to define success metrics, build scalable methodologies, and turn customer engagement learnings into actionable playbooks. - 🎯 Customer Outcome Mindset: You're focused on driving measurable customer adoption and long-term value, rather than simply delivering projects or completing engagements. NICE-TO-HAVES - ⚡ Automation Platforms: You're familiar with n8n or other workflow automation, integration, or low-code platforms. - 🔄 Change Management: You have experience helping enterprise organizations drive adoption, navigate organizational change, and embed new technologies into their ways of working. - 🤝 Partner Ecosystems: You've worked with systems integrators, consulting firms, or external delivery partners to deliver customer implementations or technical engagements. Why join us? At n8n, you'll have the opportunity to build a brand-new function at the heart of how we scale enterprise customer adoption. You won't just manage a team — you'll shape how we engage customers, demonstrate the value of automation, and turn high-impact use cases into production workflows that drive lasting business outcomes. You'll work closely with leaders across Customer Success, Sales, Product, and Engineering, with significant visibility and influence over our enterprise growth strategy. As one of Europe's fastest-growing startups, we offer the opportunity to build from the ground up, experiment with new approaches, and create a scalable deployment model that helps customers become independent, successful builders. You'll join a supportive, remote-first team that values autonomy, collaboration, and continuous learning, where your impact will be visible from day one. Sound like a challenge you're excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; Poland; Serbia; Austria; Finland; Montenegro; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to build and lead a high-performing regional Forward Deployed Engineering (FDE) team that accelerates enterprise customer adoption by turning high-impact automation use cases into production-ready workflows. You'll own technical delivery quality, team development, and regional execution, while staying hands-on and empowering customers to become independent, successful builders. To achieve this, you'll focus on four key areas: BUILD & LEAD A HIGH-PERFORMING FDE TEAM - Hire, onboard, and coach Forward Deployed Engineers across your region, partnering closely with Deployment Strategists to deliver high-impact customer engagements. - Set and maintain a high technical quality bar for production workflows, custom nodes, integration architectures, and customer-facing delivery. - Manage regional team capacity, workload, and staffing while staying hands-on with customer engagements and supporting your team's technical development. OWN REGIONAL DELIVERY & CUSTOMER OUTCOMES - Lead regional engagement intake and prioritization with Customer Success, Sales, and Partnerships, focusing resources on high-value accounts, strategic adoption opportunities, and at-risk renewals. - Qualify and scope customer engagements, selecting the right mix of internal FDEs and delivery partners while ensuring clear success criteria, technical ownership, and timelines. - Drive measurable customer outcomes through production-ready workflows, increased adoption, and seamless handovers to Customer Success Managers, while reporting regional results and expansion signals to leadership. ENABLE CUSTOMERS & SCALE TECHNICAL EXCELLENCE - Champion a customer-first delivery approach where customers build alongside FDEs, develop technical confidence, and become capable of maintaining and scaling their own automations. - Create and continuously improve reusable technical assets, including workflow templates, reference architectures, workshop materials, and hackathon playbooks. - Capture learnings from customer engagements and turn them into scalable best practices that improve delivery quality and consistency across the global FDE team. DRIVE PARTNER QUALITY & CROSS-FUNCTIONAL COLLABORATION - Collaborate with regional partner managers and the Partner Delivery Manager to ensure partner-led engagements meet n8n's technical and delivery standards. - Support partner technical readiness, certification, and quality reviews to build a reliable regional ecosystem of delivery resources. - Work closely with Product and Engineering to translate customer feedback, integration gaps, feature requests, and custom node needs into actionable priorities, balancing reusable product improvements with customer-specific solutions. REQUIREMENTS MUST-HAVES - 🛠️ Technical Customer-Facing Experience: You have 6+ years of experience in forward deployed engineering, solutions engineering, professional services, or technical consulting within a software company. - 🌟 Technical Leadership: You have 2+ years of experience leading and coaching technical teams, with a track record of developing talent and raising the bar for customer-facing technical delivery. - ⚡ Automation & Integration Expertise: You have hands-on experience with workflow automation, integration platforms, or low-code tools and can confidently design and troubleshoot complex automation solutions. - 🏗️ Enterprise Technical Delivery: You're experienced in building production-ready workflows and integrations, with a strong understanding of APIs, authentication, data handling, security, and enterprise architecture considerations. - 🤝 Cross-functional Collaboration: You're comfortable working across Sales, Customer Success, Product, Engineering, and Partnerships to align priorities, manage expectations, and make thoughtful trade-offs. - 🎯 Customer Outcome Mindset: You know how to balance technical excellence with business impact, identify high-value use cases, and empower customers to become self-sufficient rather than dependent on ongoing services. - 🚀 Player-Coach Mentality: You enjoy staying close to the technology and customer challenges while building a high-performing team, creating repeatable processes, and scaling delivery in a fast-moving environment. - 🌍 Regional Availability: You're based in the relevant region (EMEA or North America) and comfortable traveling to customer sites when needed. NICE-TO-HAVES - 💻 n8n Expertise: You're familiar with n8n or similar workflow automation and low-code platforms, ideally with experience building complex production workflows. - 🤝 Partner Ecosystems: You have experience working with systems integrators, technical consulting partners, or external delivery teams to deliver enterprise customer engagements. - 🌱 0-to-1 Team Building: You've helped establish or scale a regional technical delivery team, including hiring, defining processes, and building a strong team culture from the ground up. Why join us? At n8n, you'll have the opportunity to build and shape a regional Forward Deployed Engineering team at a pivotal moment in our enterprise growth journey. You won't just lead engineers — you'll help define how we deliver technical excellence, accelerate customer adoption, and turn ambitious automation ideas into real business outcomes. You'll combine hands-on technical work with people leadership, working closely with Customer Success, Sales, Partnerships, Product, and Engineering to influence how we scale customer delivery across your region. Your work will directly contribute to getting more workflows into production, helping customers become independent builders, and creating scalable technical practices that benefit our global FDE organization. You'll join one of Europe's fastest-growing startups and a supportive, remote-first team that values autonomy, experimentation, collaboration, and continuous learning. Sound like a challenge you're excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

About the Role This is a hands-on engineering position combining software development, solution design, prototyping, and direct customer interaction. You will work closely with enterprise customers to understand their operational processes, existing systems, technical constraints, and business pain points — and then help translate those needs into practical technical solutions. The role is ideal for someone who is technically strong but also comfortable working directly with business and technical stakeholders. What You Will Do — Work directly with enterprise customers to understand workflows, systems, and pain points — Gather and clarify requirements with business and technical stakeholders — Translate ambiguous business needs into technical solutions — Build prototypes, integrations, and production-ready functionality — Design and implement APIs and system integrations — Work with databases and data integration flows — Support cloud-based solution design and implementation — Explain technical decisions, trade-offs, and architecture clearly to customers — Collaborate with internal engineering and delivery teams — Take ownership of solutions from initial discovery through implementation — Participate in customer meetings and occasional business trips to Paris MUST HAVE — Strong software engineering / programming background — Hands-on experience building production systems — Experience with APIs and system integrations — Strong understanding of databases and data integration — Experience with cloud platforms and services — Ability to prototype and implement solutions quickly — Strong problem-solving skills and ability to work with incomplete or evolving requirements — Excellent customer-facing communication skills — Confidence working with both technical and non-technical stakeholders — Ability to ask the right questions and explain technical concepts clearly — Availability for occasional business travel to Paris Nice to Have — AI / Machine Learning experience — LLM-based applications — AI Agents / Agentic workflows — RAG or GenAI integrations — Experience in consulting, solutions engineering, technical presales, or customer-facing engineering — Enterprise integration or digital transformation projects What We’re Looking For We are looking for someone who is not only a strong engineer, but also comfortable being close to the customer. You should enjoy understanding how a business actually works, identifying what needs to be improved, and turning that understanding into a practical technical solution. Conditions — Location: EU — Business travel: occasional trips to Paris, fully covered by the company What We Offer — Small-company feel within a fast-growing international environment — Friendly, collaborative, and mission-driven team — Fully paid business trips to Paris — 25 calendar days of vacation + 5 additional paid sick days — Medical insurance — Corporate English courses — Corporate events and team-building activities — Support with professional certifications — Reimbursement for professional courses and training — Long-term international projects — Opportunities for professional and technical growth

Location: Los Angeles, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: We’re looking for a Forward Deployed Creative to sit at the intersection of generative AI, cinematic production, and enterprise customers. You’ll turn customer briefs into exceptional demos and pilots, build production-ready AI workflows, and work directly with creative teams to bring Higgsfield into real-world production. The creative bar is extremely high. You understand why a shot works — from lensing, lighting, and composition to camera movement, pacing, and edit rhythm — and know how to reliably achieve commercial-quality results with generative models. What you'll do: - Own the technical and creative execution of enterprise demos, pilots, and deployments from brief through final delivery. - Direct and produce cinematic AI content, including shot design, generation, consistency, editing, and delivery. - Build repeatable production workflows using generative models, prompting systems, APIs, MCP, automation, and agentic workflows. - Reverse-engineer reference ads, film looks, and visual styles into reproducible Higgsfield workflows. - Lead live demos, workshops, and hands-on training for customer creative teams. - Partner directly with CMOs, creative directors, production leaders, and technical stakeholders. - Bring customer insights, product gaps, and emerging use cases back to Product, Engineering, and Research. - Stay at the forefront of image and video generation and continuously push what’s possible with Higgsfield. Requirements: - Exceptional portfolio of cinematic AI work at commercial quality — portfolio first. - 5+ years of experience in film, advertising, commercial, or creative production, including 2+ years hands-on with generative AI. - Deep fluency across image and video models, consistency techniques, VFX, motion, and AI production workflows. - Strong cinematic fundamentals across shot design, lighting, composition, storyboarding, camera movement, and editing. - Experience delivering customer-facing pilots, PoCs, or productions from brief through final output. - Comfortable presenting to executives and running live demos. - Ability to translate complex AI workflows for non-technical creative teams. - High agency, strong ownership, and the ability to move quickly in a startup environment. - Excellent communication skills. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $125,000 - $200,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is required to be based in Los Angeles for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

is looking for a Senior or Staff Forward Deployed Engineer to build secure mobile digital identity applications and SDKs.

is looking for a Staff Forward Deployed Software Engineer to lead customer-facing digital identity engineering projects and deliver secure software solutions.

Location: United Arab Emirates ABOUT THE ROLE Coordinate site deployment by making sure the right people are assigned to the right priorities, travel and site visits are well planned, and teams have clear plans for their work on-site. Partner with GTMs, FDEs, DSs, and leadership to keep deployments organized and moving forward. WHAT YOU’LL DO - Allocate resources: Match FDEs and DSs to customer needs based on priority, skills, availability, location, and capacity. Flag resource conflicts and recommend trade-offs. - Prioritize field work: Maintain a view of upcoming and active engagements, deadlines, dependencies, and business priorities. Help leadership decide what should happen first when capacity is limited. - Coordinate on-site work: Set clear plans, responsibilities, and expected outcomes for each site visit. Track progress, actions, blockers, and follow-ups while teams are on-site. - Manage travel logistics: Coordinate travel schedules, flights, accommodation, local transport, itineraries, and expense requirements for regional deployments. - Keep teams aligned: Share deployment schedules and changes with field teams, Sales, customers, and internal stakeholders. Escalate delays or issues that affect delivery. - Track delivery and capacity: Maintain accurate records of assignments, travel, utilization, site progress, and upcoming demand. Provide regular updates and reports to leadership. - Improve processes: Identify ways to make resource planning, travel coordination, site execution, and reporting more consistent and efficient. WHO YOU ARE - 3+ years in field operations, project operations, Sales Operations, or a similar role. - Experience coordinating people, schedules, or projects across multiple locations. - Strong planning and prioritization skills, including handling competing requests and changing timelines. - Clear communicator who can align technical teams, commercial teams, customers, and leadership. - Organized, detail-oriented, and proactive about surfacing risks and blockers. NICE TO HAVE - Experience coordinating technical deployment teams, such as FDEs, DSs, or implementation teams. - Experience with multi-country travel, expenses, procurement, or vendor coordination. - Familiarity with Salesforce, HubSpot, Dynamics, or project planning tools. - Background in technology or consulting. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: 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. Many of the people who could gain the most from Claude are the least able to buy it the usual way. A teacher often pays for tools out of pocket. A small nonprofit has no procurement team. A university lab that wants to use Claude has to go through funding, an IT office, and a purchasing department at once. Beneficial Deployments works to reach them, through programs like Claude for Teachers and Claude for Nonprofits and through our work with researchers. What stands between those people and Claude is rarely the model. It's proving they qualify, getting the right price, buying in a way their institution allows, and landing in the right organization with the right permissions. Those steps run through identity, billing, provisioning, and fraud systems that were built for commercial customers. Our Access team makes them work for everyone else. We're looking for engineers who find it deeply satisfying to remove the one thing stopping thousands of teachers or scientists from getting started. You'll work in other teams' codebases as often as our own, and much of the job is earning the trust of the engineers, accountants, and safety reviewers who own those systems. This role's focus is access. Experience with billing or identity is a big plus. What matters most is that you finish hard things that cross team lines, get the details right when money and trust are involved, and care about who is on the other end. Core Responsibilities: Own programs like Claude for Teachers or Claude for Nonprofits from design through launch, operation, and support Support the verification lifecycle: how educators, nonprofits, and research labs prove eligibility, get reviewed at scale, renew, and are removed fairly when they no longer qualify Build pricing, billing, and provisioning that understands programs, including discounts, usage caps, credits, tax exemption, and self-serve purchase, so the next program is configuration rather than a project Build safe paths for organizations to move between their available plans and manage their teams, without losing data, seats, or history Work directly in partner teams' systems, such as billing, identity, and Safeguards Design for trust, with controls and audit trails that stand up to financial audit and student-privacy requirements Turn manual review, one-off fixes, and hand-run testing into tools that support, sales, and finance can use themselves Share on-call for program issues, and use what you see there to decide what to build next You might be a good fit if you: Have 6+ years of experience building software, with strong backend or full-stack skills and solid grounding in data modeling, APIs, and databases Have owned systems where mistakes are expensive, such as billing, payments, identity, entitlements, provisioning, or eligibility Have a track record of finishing work that depended on several teams, without formal authority over any of them Are comfortable in a large codebase you don't own, and learn the rules its owners care about Sweat correctness and edge cases, and can say clearly what you tested and what you didn't Enjoy unblocking people and closing things out, and leave the underlying system better each time Prioritize well when demand is larger than capacity, including saying no and explaining why Communicate clearly across engineering, finance, sales, and support, and care about the societal impacts of your work Strong candidates may also: Experience with subscription or usage-based billing, quote-to-cash, tax, or revenue systems, such as Stripe, Metronome, or Salesforce CPQ, or with building under SOX controls Experience with verification, KYC, fraud, or trust and safety systems Experience with enterprise identity and administration, such as SSO, SCIM, or large account and data migrations Experience building for schools, nonprofits, research institutions, healthcare, or government, or working with FERPA or similar privacy rules Experience launching in new countries, including currency, tax, language, and local eligibility Experience building products with large language models, or using coding agents heavily in your own engineering work 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 — $405,000 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.

Reflection is looking for a Forward Deployed Engineer to deploy secure AI systems and lead government customer engagements.

Glean is looking for a Forward Deployed Recruiter to lead full-cycle recruiting and build technical customer-facing teams.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE: Forward Deployed Engineers at Sentry help our largest customers get real value from Sentry, from integrating the SDK to making sure the right alerts and issues reach the right people at the right time. This role is a Senior Solutions Engineer who goes further: you'll help us build Sentry's forward deployed motion. That means working shoulder to shoulder with our most important customers, often inside their codebases and workflows, instead of advising from the outside. When a customer's problem needs more than a best-practices doc, such as a custom integration, a tricky instrumentation setup, or a working prototype, you'll build it with them, then turn what you learn into repeatable patterns for the rest of the team. Forward deployed work is new here and you will have a part in building this arm. You'll start with the core Solutions Engineering work and take on more hands-on deployment work as customers pull you into it, helping define what this motion looks like at Sentry. The goal is simple: reduce time to value. The outcomes we care about: - Developers can quickly find and resolve slowdowns and errors in their applications. - Customers get to value faster, and the lessons from each deployment make the product better for everyone.   IN THIS ROLE YOU WILL - Turn customer goals into a plan. Understand customers' pain points and objectives, then act as their trusted advisor, translating them into implementation plans, workshops, and best practices that show clear business value. - Get Sentry set up, in the code. With the customer's permission, work in their codebase like a member of their engineering team, delivering the pull requests that fully set up Sentry so data is flowing from day one. - Instrument what matters most. Add custom telemetry for a customer's most critical user journeys and build the dashboards and alerts that go with it. - Lead migrations. Move customers off their existing observability tools by setting up their Sentry organization and delivering PRs that introduce Sentry and remove the old solution. - Work like a trusted contractor. Stay within the scope and access you've been given, take extra care in live environments, test thoroughly, and ship pull requests that customer engineers are glad to merge. Embed with their teams, including on site, when it helps. - Build the motion. Turn one-off deployments into repeatable playbooks and tooling, help define how forward deployed engagements are scoped and measured, and bring what you learn back to Product and Engineering.   YOU’LL LOVE THIS JOB IF YOU - You'd rather sit with a customer's engineers and fix the problem in their code than write them a recommendation - Enjoy talking about technology and interfacing with engineers and engineering leaders. - Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. - Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.). - Have a fast-paced, results-driven mindset. - Love developer tools, open-source, and/or all things software development life cycle!   QUALIFICATIONS - 3+ years of experience, with some mixture being Software Engineering and Solutions Engineering/Implementation and at least 1+ year being a FDE - Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc - Excellent communication and presentation skills, with credibility in front of engineers and engineering leaders - Problem solver, knowledgable, and can-doer - Bonus: experience with observability, APM, or error monitoring tools, including migrating customers from another vendor, or helping build a forward deployed or customer engineering function   The total compensation range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $230,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

✅ Full ownership of AI systems in production.

Location: United States; Washington, D.C. Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, Public Sector, you’ll work alongside Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, across US federal agencies and state, local and education (SLED) organizations. Your mission is to turn mission needs, legacy workflows and complex stakeholder dynamics into a clear picture of the most important problem, what the product needs, and where the impact is.   No two days are the same, but as a Deployment Strategist you can expect to: - Work with agency leaders, program offices, prime contractors, state and municipal departments, and school and university systems to find the highest-impact opportunities for AI agents in citizen- and student-facing and operational workflows (e.g. benefits and licensing, 311 and contact centers, case management, admissions and student services, internal service desks). - Own flagship deals end-to-end: identify the use case, shape the commercial structure alongside GTM and contracts partners, and navigate public sector procurement paths (federal contract vehicles, cooperative contracts, RFPs) through to close. - Embed with customer teams, including time onsite (in secure facilities for federal work), and own delivery outcomes as if you were part of their team. - Guide customers on agent design, orchestration, and production readiness, including the security, privacy and compliance requirements specific to each segment, to get agents live and adopted. - Partner with Forward Deployed Software Engineers and Solution Engineers to build and demo solutions, present to audiences from technical teams to agency heads and elected or appointed officials, and feed field insights back to Product and Research.   Requirements - U.S. citizenship and an active U.S. government security clearance for federal engagements. - 3+ years in a customer-facing technical role with government agencies, a public sector systems integrator, or a government-focused technology company. - Familiarity with public sector buying and compliance (e.g. GSA schedules, OTAs, FedRAMP and ATO processes, state cooperative contracts, state-level security frameworks, FERPA/CJIS/HIPAA where relevant) and comfort in deal conversations and long enterprise sales cycles with GTM partners. - Basic Python and API integration skills, enough to prototype, demo and talk credibly with engineering teams, plus familiarity with LLM and AI agent frameworks. - Excellent communication and problem-solving skills, with a track record of owning ambiguous, complex projects through to delivery.   LOCATION This role is remote-first, so it can be executed from anywhere in the United States. There is a preference for candidates to be based in Washington, DC. Expect regular travel for customer onsites. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you’ll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads: LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You’ll help teams reach outcomes most engineers can’t on their own. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Cognition, and Meta to architect and optimize production AI workloads on Modal - Contribute to open-source projects (members of the team are active contributors to SGLang) and publish technical content that demonstrates Modal’s capabilities across the AI stack - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s performance advantages tangible YOU MAY BE A FIT IF: - You have 2+ years of professional ML engineering experience, ideally with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure - You’re familiar with the serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains and can go deep on at least one (you don’t need all of them) - You’re a strong communicator who can go deep on technical architecture with an engineering team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in London NICE-TO-HAVE: - Side projects, open-source contributions, or published work you’re proud of in ML or systems performance