Forward Deployed Engineer Jobs in San Francisco, CA
Forward Deployed Engineer jobs in San Francisco are concentrated in SoMa, Mission Bay, and the Financial District, driven by enterprise software, AI infrastructure, and developer tooling companies. Employers hiring right now include Deloitte, Handshake, and Snorkel AI. Scan the live roles below and apply to whichever ones fit.
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INTRODUCTION
Who We Are
Notion is the collaborative AI workspace where teams and agents think together. 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 Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines, and resolving complex challenges around scale, permissions, and governance. Your work as a customer-facing engineer will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
WHAT YOU'LL ACHIEVE
- Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
- Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
- Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
- Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
- Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem.
- Design and build customer integrations, automations, and custom tooling as a part of Notion implementations.
- Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers.
- Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale.
- Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow.
BASIC QUALIFICATIONS
- 4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment.
- Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
- Hands-on experience with APIs and data integration.
- Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
- A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale.
PREFERRED QUALIFICATIONS
- Experience working in SaaS professional services, preferably in a startup or high-growth environment.
- Experience deploying AI agents autonomously in complex coding or business workflows.
- Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
- Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
- Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
- Strong track record of successful enterprise customer implementations.
COMPENSATION
The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $175,000 - $240,000 per year.
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.
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Find JobsForward Deployed Engineer Job Market in San Francisco
Who's Hiring
- Deloitte6

- Handshake5

- Snorkel AI4

- Giga3

- CLERA3C
Top Industries Hiring
- Technology & Software50
- Artificial Intelligence11
- Consulting & Professional Services9
- Accounting & Auditing6
- Investment & Asset Management6
Forward Deployed Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a forward deployed engineer job in San Francisco?
The strongest path is targeting San Francisco's enterprise software, AI, and developer tooling companies, which hire forward deployed engineers more actively than most other sectors in the city. SoMa and Mission Bay are where the highest concentration of these roles sit. Candidates with hands-on implementation experience, strong SQL or API skills, and a customer-facing communication style stand out in San Francisco's market, where employers expect engineers who can work directly with technical buyers.
Which companies hire forward deployed engineers in San Francisco?
Employers hiring forward deployed engineers in San Francisco right now include Deloitte, Handshake, and Snorkel AI, based on current listings on Migrate Mate as of June 2026. San Francisco's hiring base skews toward growth-stage and enterprise SaaS companies that deploy engineers directly into customer environments to drive adoption and implementation.
Are there remote forward deployed engineer jobs in San Francisco?
Yes, though with limits, since the role is inherently customer-facing and often requires on-site visits during implementations or onboarding cycles. About 28% of forward deployed engineer openings tied to San Francisco are remote or hybrid as of June 2026, with the most remote-friendly work concentrated in the post-implementation support and technical advisory phases rather than initial deployment.
How can I get a forward deployed engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through a solutions engineer or technical support engineer role at a mid-size SaaS company in SoMa or Mission Bay, where teams often promote internally into forward deployed positions once you have product exposure. Bootcamp graduates and engineers with internship experience at San Francisco-area software companies have successfully made this move by emphasizing customer-facing projects and scripting or API work in their applications.
Which industries hire the most forward deployed engineers in San Francisco?
Most forward deployed engineer openings in San Francisco sit in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, per current listings on Migrate Mate as of June 2026. San Francisco's role as a hub for enterprise software and AI infrastructure companies creates consistent demand for engineers who can bridge product teams and customer technical environments.
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