Pointer — Forward Deployed Engineer
Quick Summary
Computer-use agents against customer systems; generalist range useful — backend (Node, Postgres), frontend (React/TypeScript), ML-adjacent (fine-tuning / agent configuration)
Type: Full-time | On-site | San Francisco, CA Compensation: $180,000–$250,000 + competitive equity Hiring count: 3 Visa sponsorship: None available — no H-1B, O-1, or OPT. TN status (Canadian citizens) acceptable. Reports to: Not specified on role page
Pointer builds AI systems that take on a company's hardest, multi-day, hundred-step processes end-to-end and verify the output, so people can finally come out of the loop. Today it works with finance and accounting teams at operationally complex enterprises — reconciliation across physical and digital systems, invoice and PO matching, month-end close — where being almost right costs the same as being wrong. Recently raised a seed round.
Founded: 2025 | Team size: 1–10 (Seed) | Total funding: Seed round (undisclosed) Industry: Applied AI / agentic automation for finance & accounting operations Website: pointer.ai Office: San Francisco
- Ground-floor FDE at a seed-stage AI company: own how Pointer lands with customers and shape a function from the start, with a real path to grow into leading all of post-sales.
- Deeply customer-facing with a direct product loop: patterns found in the field feed straight back into what gets built into the platform.
- Strong package and environment: $180–250K + competitive equity (they aim to beat other offers), relocation support to SF, all meals covered, top-spec MacBook Pro, unlimited PTO, full health, 401(k), team offsites, and an outcome-based schedule.
A post-sales Forward Deployed Engineer role: implementing and building atop Pointer's platform for customers, not 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 a week of work now takes an hour.
Responsibilities
~1 min read- →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 (on and atop the platform)
- →Own the feedback loop so field patterns directly shape what gets built into the platform
- →Present Pointer to customers and prospects with sharp narration and real design taste, sequencing demos around their specific workflows
- →Handle implementation and delivery throughout the post-sales lifecycle, including paid PSCs (proofs of concept — counted as post-sales, since the customer has already signed)
Tech stack: Computer-use agents against customer systems; generalist range useful — backend (Node, Postgres), frontend (React/TypeScript), ML-adjacent (fine-tuning / agent configuration)
Requirements
~1 min read- Commercial ability first, technical baseline second
- Exceptional communicator
- 0-4 YOE
- Post-sales, customer-facing
- SF, mostly 5 days in person
- TN (Canada) ok; no H-1B/O-1/OPT
- Communicates experience cleanly and concisely (no rambling, over-long bios)
- Groks quickly and reads between the lines
- Consulting, solutions-engineering, or external/customer-facing background
- Worked at a strong company; FDE experience at Palantir, Sierra, or Databricks is an admired archetype
- Generalist engineer with real presentation/design taste
- Weak or long-winded communication; can't present themselves crisply
- Purely non-technical (no baseline technical understanding at all)
- Purely back-office engineer with no customer-facing ability or interest
- Needs heavy structure/hand-holding rather than owning ambiguous outcomes
- Salary — $180,000–$250,000
- Equity — Competitive
- On-site policy — In person in SF, mostly 5 days a week; relocation support provided
- Visa sponsorship — None available; no H-1B/O-1/OPT; TN (Canadian citizens) acceptable
- Employment type — Full-time
- Location — San Francisco, CA
Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Intro Call Stage 3 — Behavioral call with a co-founder Stage 4 — Take-home assessment Stage 5 — On-site Stage 6 — Offer Extended Stage 7 — Hired — Candidate accepts and starts.
Location & Eligibility
Listing Details
- First seen
- August 11, 2026
- Last seen
- August 11, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- August 11, 2026
Signal breakdown
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