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# Forward Deployed Engineer

- **Company:** David Joseph & Company
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, PostgreSQL, Machine Learning, Node.Js, TypeScript, ReactJS, Backend, Build Management, Front End Software Development
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=585b0db01afbae98

## About the Role

* Outstanding commercial and customer-facing instincts - this is the single most important trait for the role
 * A clear, concise communicator who can translate between technical and non-technical stakeholders and read between the lines
 * A genuine technical baseline - enough to understand how things work under the hood and implement well (you don't need to be a world-class engineer)
 * Comfortable with ambiguity and quick to find creative solutions
 * Thinks in terms of business outcomes
 * 0-4 years of experience
 * Able to work in person in San Francisco, mostly five days a week, * Background in consulting, solutions engineering, growth engineering, or as a technical founder
 * Generalist engineering range across backend, frontend, and ML-adjacent work
 * Client-facing technical operations experience (e.g. a CS background followed by a hands-on, customer-facing ops role)
 * Real design and presentation taste - demo pacing, visual clarity, and narrative arc
 * Experience at a strong, recognizable company, especially in a deployment or forward-deployed capacity

## Description

This is a post-sales Forward Deployed Engineer role focused on making the platform land with customers - implementing and building on top of it rather than doing heavy custom or core-product engineering. You'll move between shadowing a finance team to learn how they work, wiring up computer-use agents against their real systems, and showing leadership that a week of manual work now takes an hour. It's deeply customer-facing, and there's a real path to grow into leading the whole post-sales function over time.

What you'll be doing

 * Embed with customer teams to learn how their operations actually run - shadowing experts, mapping decision logic, capturing tribal knowledge
 * Build and deploy agents tailored to each customer's systems, edge cases, and operational reality
 * Own the field-to-product feedback loop, so what you learn on the ground shapes the platform
 * Present to customers and prospects with sharp narration and real design taste, sequencing demos around their specific workflows
 * Deliver implementation across the post-sales lifecycle, including paid proofs of concept

Tech stack: Computer-use agents built against customer systems; a generalist range is useful - backend (Node, Postgres), frontend (React/TypeScript), and ML-adjacent work (fine-tuning / agent configuration)


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