Forward Deployed Engineer_CNTR

You'll own how the Client lands. This is a post-sales Forward Deployed Engineer role: implementing and building atop the platform rather than doing heavy custom engineering or core product work. One day you're shadowing a finance team to map how they close the books, the next you're wiring up computer-use agents against their actual systems, the next you're showing their CAO that what used to take a week now takes an hour.

Patterns you find in the field feed a product-deployment loop that directly shapes what gets built into the platform.

The most important trait by far is commercial ability: interfacing with customers, understanding their needs, and figuring out how the Client can solve them. Backgrounds in consulting, solutions engineering, or other external-facing roles tend to do well. Strong technical ability is a bonus and a baseline expectation (you need to understand what's happening under the hood to implement well), but you don't need to be a world-class engineer.

This role is entirely post-sales, including work during paid PSCs (proofs of concept), which count as post-sales since the customer has already signed. There's real room to grow into leading all of post-sales over time.

• Location: San Francisco, CA
• Work Type: In-person, mostly 5 days a week
• Employment: Full-time
• Experience: 0-4 years
• Visa Sponsorship: None available
• Team size: 1-10 employees
• Founded: 2025

The Client builds AI systems that do a company's hardest work and verify it, so people can finally come out of the loop. The work taken on is the foundational, multi-day, hundred-step processes businesses run on today with entire teams: reconciliation across physical and digital systems, invoice and PO matching, and month-end close. The belief is that the economy can't compound on AI until systems can run these processes on their own over long horizons, rather than being steered through every step - every agent product so far hands the last stretch back to a human, and that supervision is the tax that eats the gains.

The Client currently works with finance and accounting teams at operationally complex enterprises, where the cost of being almost right is the same as being wrong. The team is tight-knit, highly technical, jolly, and unusually close to the work: everyone talks to customers and ships full systems end-to-end, with shared interests in computer use, verifying AI outputs, self-improving systems, and coherence over long horizons.

• Embedding with customer teams to learn how their operations actually run: shadowing experts, mapping decision logic, capturing tribal knowledge
• Building and deploying agents tailored to each customer's systems, edge cases, and operational reality (working on and atop the platform)
• Owning the feedback loop: field patterns directly shape what gets built into the platform
• Presenting the Client's product to customers and prospects with sharp narration and real design taste, sequencing demos around their specific workflows
• Implementation and delivery throughout the post-sales lifecycle, including paid PSCs

• Solutions engineering, growth engineering, consulting, or technical-founder background
• Generalist engineering range: backend (Node, Postgres), frontend (React/Type Script), ML-adjacent (fine tuning / agent configuration)
• Client-facing technical operations experience (e.g., CS degree then a client-facing ops-heavy role, even without a pure engineering title)
• Real design/presentation taste: demo pacing, visual clarity, narrative arc
• Experience at a strong, recognizable company

• Competitive pay plus equity (aims to beat other offers)
• Relocation support to San Francisco
• All meals covered (coffee, lunch, dinner, snacks)
• M-series Pro/Max Mac Book Pro, multiple monitors, and whatever else you need
• Unlimited PTO and full health coverage
• 401(k)
• Regular team offsites
• Flexible, outcome-based schedule (no forced long hours when the work is done)