Role Description
Forward Deployed Engineer — Strala --------------------------------------
Location: San Francisco, CA (Onsite)
Compensation: $150,000 – $225,000 base + competitive equity
Visa Sponsorship: None available
Experience Level: 2+ years
Employment Type: Full-Time
About Strala
Strala is an AI-native insurtech company rebuilding insurance claims infrastructure through agentic AI automation. The platform automates claims workflows including intake, fraud detection, adjudication support, and settlement operations.
Company traction:
- Multi-seven-figure ARR in under one year
- 50% month-over-month growth
- Series A-stage trajectory with two institutional funding rounds completed
- Backed by Founders Fund with investor exposure to early OpenAI, Cognition, and Scale AI
Team pedigree includes Harvard, Berkeley, Oxford, Optiver, AMD, Palantir, ICPC, and NeurIPS research backgrounds.
About the Role
This is a true technical forward-deployed engineering role with direct product ownership. This is not implementation support. This is not solutions architecture. This is not post-sales integration. This is a hybrid engineering, client deployment, and product feedback role — and the FDE function is still being built with currently only one FDE on the team.
Core ownership includes:
- End-to-end multimodal AI deployment and production agent deployment for enterprise customers
- Direct senior stakeholder ownership, technical scoping, and go-live execution
- API integrations, client systems integration, agent design and iteration
- Prompt engineering, model integration, and rapid AI-assisted prototyping
- Customer-specific feature scoping and product evolution feedback
- Client relationship management and internal FDE playbook creation
- Scaling the FDE function from the ground up
Requirements
- 2+ years combining technical depth and client ownership
- Target backgrounds: forward deployed engineering, agent engineering, growth engineering, founding engineer, or founder
- Technical: Python, APIs, cloud platforms, modern AI/ML tooling, LLM familiarity, prompt engineering, agentic AI concepts, AI-assisted coding workflows
- Strong executive client communication — ability to translate technical systems into business value
- Founder-mode ownership, high urgency, fast execution, and problem ownership
- Willingness to jump between coding and client calls in the same day
- SF onsite commitment
Nice to Have
- Prior FDE experience from elite AI companies — Palantir, Anthropic, OpenAI, Scale, Cognition
- Agent engineering or growth engineering background
- Backend + solutions hybrid background
- ICPC or NeurIPS pedigree
- Founder background
This Role Is NOT For
- Pure solutions engineers without backend depth
- Pure backend engineers without client ownership
- Career FDEs looking for mature structure
- Integration-only profiles
Benefits
- Top quartile salary and equity
- Full relocation support
- All meals covered
- Productivity tooling
- Opportunity to shape company direction
Interview Process
- Application review
- Cultural fit (multiple interviewers)
- First technical interviews
- Second technical interviews
- Final strategy/ops interviews
- Offer
Logistics
- Role is fully onsite in San Francisco — please only apply if you can commit to this
- No visa sponsorship available
Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of Strala.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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