davidjoseph-co
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Pointer — Forward Deployed Engineer

United StatesUnited States·San Franciscomid
OtherForward Deployed Engineer
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Quick Summary

Key Responsibilities

Computer-use agents against customer systems; generalist range useful — backend (Node, Postgres), frontend (React/TypeScript), ML-adjacent (fine-tuning / agent configuration)

Technical Tools
OtherForward 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

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

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

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

freshnesssource trustcontent trustemployer trust
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davidjoseph-coPointer — Forward Deployed Engineer