Forward Deployed Engineer

About the Company

Our client is a seed-stage AI company in San Francisco that deploys AI agents into the real operational workflows of Fortune 500 enterprises. The team is a high-bar mix of operators, engineers, and strategists, working AI-natively with no layers or process overhead.

About the Role

Forward Deployed Engineers are client-facing builders. They take an AI agent from the first client conversation to production, then move to a new enterprise and a new problem every few months. Customer-facing work and hands-on technical work are both heavy parts of the job: sitting in discovery calls, gathering requirements and mapping processes, then building POCs and shipping them. This is not a pure engineering, strategy, or research role; it sits between building a demo and running agents inside a Fortune 500 team.

The role involves 20–40% travel to client sites. The team currently works 10am to 8pm, Monday to Friday, and is likely to move to Monday to Saturday.

What You'll Do

• Embed with client teams (finance, legal, ops, HR, IT) and map how work really runs, including exceptions and workarounds
• Turn ambiguous business problems into agent workflows with success criteria, guardrails, and evals
• Build prototypes and working agents, then drive adoption by training and sitting with end users
• Present findings and results directly to C-suite stakeholders
• Co-create KPIs with client leadership and measure the uplift after deployment

Key Details

• Location: San Francisco, CA (in-person, with 20–40% travel to client sites)
• Schedule: 10am–8pm, Monday to Friday (likely moving to Monday to Saturday)
• Employment: Full-time
• Experience: 2+ years
• Salary: $160,000 – $230,000 USD per year, plus equity
• Visa Sponsorship: Available (H-1B)

Benefits & Perks

• Work with Fortune 500 companies on real operational workflows
• Direct access to C-suite executives and operators
• Own the full loop from problem discovery to production deployment
• High-bar team of operators, engineers, and strategists
• Value creation in days rather than quarters
• Meaningful equity at an early stage
• AI-native way of working
• No layers or process overhead
• Shape product, playbooks, and company scaling

Interview Process

• Screen
• Vibe check
• Technical screen
• Case study
• Sales interview
• Onsite
• Offer

Required Candidate Questions

Please include the following with your application

Basic Information

• LinkedIn profile

Experience

• GitHub profile
• Current company
• Current title

Logistics

• Location
• Do you need sponsorship now or in the future?
• Are you open to relocating to the Bay Area?