Pointer — Forward Deployed Engineer

Pointer — Forward Deployed Engineer 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 About Pointer 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 Why Candidates Should Join 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. The Role 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. 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 (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 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 Green Flags 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 Red Flags 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 Role Details 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 Interview Process 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.