Forward Deployed EngineerCNTR

Youll 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 youre shadowing a finance team to map how they close the books the next youre wiring up computer-use agents against their actual systems the next youre 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 whats happening under the hood to implement well) but you dont 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. Theres real room to grow into leading all of post-sales over time.

Details

• 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

About the Company
The Client builds AI systems that do a companys 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 cant 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.

What Youll Own

• 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 customers 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 Clients 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

Must-Have

1. Excellent communication: presents themselves well translates between technical and non-technical stakeholders groks things quickly and reads between the lines
2. Strong commercial/customer-facing ability (the #1 trait for this role)
3. A baseline of genuine technical ability enough to understand how things are engineered under the hood and optimize implementation (need not be a world-class engineer)
4. Comfort with ambiguity and finding creative solutions fast
5. Thinks in terms of business outcomes
6. 0 to 4 years of experience
7. Able to work in person in SF mostly 5 days a week

Nice-to-Have

• Solutions engineering growth engineering consulting or technical-founder background
• Generalist engineering range: backend (Node Postgres) frontend (React/TypeScript) ML-adjacent (finetuning / 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

Benefits & Perks

• 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 MacBook 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)

Interview Process

1. Pending Approval
2. Intro Call
3. Behavioral call with a co-founder
4. Take-home assessment
5. On-site
6. Offer Extended
7. Hired