Forward Deployed AI Systems Engineer (Customer Deployment Specialist)
Deploy AI-driven automation systems for finance and accounting teams, embedding with customers to map workflows, build tailored agents, and drive rapid time-to-value. Requires strong technical skills in backend, frontend, and ML-adjacent work, high EQ, and commercial acumen to bridge technical and business stakeholders. Own end-to-end customer engagements with minimal supervision after initial ramp-up.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Role: Forward Deployed Engineer - Grads with internships welcome
Location: San Francisco, CA (in-office) | Salary: $180,000β$250,000 | Stage: Seed | Visa sponsorship available
Our client builds AI systems that do a company's hardest work and verify it β so people can finally step out of the loop. Rather than another copilot that speeds humans up, they eliminate entire classes of work: reconciliation across physical and digital systems, invoice/PO matching, month-end close. Early customers in finance and accounting already feel the difference, and the focus now is scaling deployment.
The team is tight-knit, highly technical, and unusually close to the work β everyone talks to customers and ships full systems end to end.
The Role
This is the deployment seat. One day you're shadowing a finance team to map how they close the books; the next you're wiring computer-use agents into their actual systems; the next you're showing their CAO that a week of work now takes an hour.
It's post-sales, but there's no revenue quota. Success is measured by how many customers you're deploying with, the value they're getting, and whether you can run engagements solo after a short shadowing period.
What you'll own:
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- Embedding with customer teams β shadowing experts and capturing the tribal knowledge that makes their work correct
- Building and deploying agents tailored to each customer's systems and edge cases
- Aligning 5+ stakeholder groups per deployment to drive fast time-to-value
- Feeding field patterns directly back into the platform roadmap
- Presenting the product with sharp narration and demo pacing tailored to each workflow
- Running engagements fully solo after initial ramp-up
What We're Looking For
- Strong generalist engineer β comfortable across backend (Node, Postgres), frontend (React/TypeScript), and ML-adjacent work (fine-tuning, agent configuration)
- A real technical bar β enough to solve a customer gap quickly (not core engineering, but this is where most candidates fall short)
- High EQ and commercial instinct β charismatic, thinks in business outcomes (weighted slightly above pure technical skill)
- Excellent communicator who translates fluidly between technical and non-technical stakeholders
- Design and presentation taste β demo pacing, visual clarity, narrative arc
- Self-directed, comfortable in ambiguity, and able to own a customer engagement solo
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Background: 0β3 years. Great fits include solutions/growth engineering, technical founders, or forward-deployed/technical-consulting profiles who've worked directly with external customers (think technology consultants, not business-strategy generalists).
Bonus points: experience at firms that pioneered the forward-deployed engineering model, technical consulting on external customer projects, or strong design sense for customer-facing demos.
Benefits
All meals covered, full health coverage, 401(k), unlimited PTO, relocation support, new computer and gear, and team off-sites.
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