Staff Forward Deployed Engineer, Hims & Hers

• 8+ years of professional software engineering experience
• Strong hands-on coding skills and experience delivering production systems across complex codebases
• Strong Python, plus backend or fullstack depth in one or more of: Node.js, Kotlin, Java, Go, React, TypeScript, or mobile
• Experience with cloud infrastructure (AWS, Docker, Kubernetes), CI/CD workflows, and SQL
• Working knowledge of LLMs and agentic patterns: prompt engineering, tool use, RAG and retrieval, context management, evaluation and observability, and agent orchestration with frameworks like MCP, LangChain, or similar
• The ability to get productive fast in codebases and domains you have never worked in
• Excellent communication and collaboration skills. You partner across technical and business teams, translate between them, and produce docs and findings that both engineers and non-technical stakeholders can act on
• If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match

Desirable

• We’re looking for a Staff Forward Deployed Engineer who’s passionate about using AI to change how teams across the business get their work done
• You’ll embed with a team, learn how they actually work, and build the AI-powered workflows that make them faster and more effective
• You start by mapping how the function operates today, then decide together with the team where AI can create the most value and build it
• This is not a support role, a solutions-engineering role, or staff augmentation
• You are a full engineer who works at the boundary between our AI platform and a business domain
• You ship production systems, and the best of what you build for one team becomes a reusable capability for the whole company
• Embed with a team. Work alongside a function for sustained periods, joining their day-to-day so you understand how they really operate
• Map how the work gets done. Build a clear picture of the function's current workflows and surface where time, handoffs, rework, and manual effort pile up
• Find where AI creates the most value. Prioritize the opportunities that will move the function's outcomes the most, and align with the team on what to tackle
• Build it in production. Ship real, AI-powered workflows that solve the problems you find, working hands-on with the team and our platform
• Scale what works. Turn proven solutions into reusable capabilities so a win with one team accelerates the whole organization
• Own the outcome. Measure success by the business results your partners achieve: revenue generated, cost saved, cycle time reduced, manual work eliminated
• You'll Thrive Here If You:
• Love experimenting with AI tools and applying them to real engineering and business challenges
• Enjoy embedding with teams outside engineering and bridging the language gap between technical and business partners
• Treat discovery as engineering work, not a preamble to it
• Enjoy translating early prototypes into production-ready, maintainable systems
• Are curious, pragmatic, and impact-driven. You measure success by the business outcomes your partners achieve