Bluejay — Founding GTM Engineer

Type: Full-time | On-site | San Francisco, CA Compensation: $90,000–$160,000 + 0%–1% equity Hiring count: 1 Visa sponsorship: None available Reports to: CEO (per outreach template — not confirmed elsewhere; founders are Faraz and Rohan)

Bluejay builds the simulation, evaluation, and observability layer for voice and text AI agents, helping companies ensure their agents perform as intended in production. Customers include Google, DoorDash, Abridge, and other enterprises across multiple continents sending millions of calls monthly. The company raised a $4M seed round backed by Floodgate, Peak XV, and Y Combinator, and grew to over $100K ARR in under a month during YC.

Founded: 2025 | Team size: 1–10 | Total funding: $4M (seed) Industry: AI Tools Website: getbluejay.ai Office: San Francisco, CA

• First GTM hire, full ownership: Build the entire revenue systems layer from scratch — architecting the playbook, not executing someone else's.
• Strong backing and early traction: $4M seed from Floodgate, Peak XV, and Y Combinator; enterprise customers including Google and DoorDash sending millions of calls monthly; $100K ARR in under a month during YC.
• Engineering-flavored GTM: Base-only, no-quota role that treats pipeline and outbound as engineering problems — measured by pipeline created and rep efficiency gained, not dashboards built.

• Not available — the role page includes an intake video but no transcribed summary.

Bluejay is hiring its first Founding GTM Engineer to build the automated systems behind the company's revenue motion from scratch. This is a base-only, no-quota role at the intersection of engineering and go-to-market, treating pipeline and outbound as engineering problems to be instrumented, iterated, and scaled.

• →Design and build scalable lead-gen and enrichment systems using AI-native workflows, APIs, and automation tools, targeting AI engineers and founders deploying conversational agents
• →Build and own the GTM data layer: clean enriched lead lists, account scoring, CRM architecture, and reporting dashboards
• →Develop and optimize SEO and GEO strategies, owning discoverability as a core channel for pipeline generation
• →Wire the GTM stack into automated systems that increase outbound velocity and reduce manual work across the team
• →Treat go-to-market like a product: instrument it, measure it, iterate rapidly on what drives qualified pipeline
• →Work in the trenches with founders and the GTM team to spot funnel bottlenecks and engineer them away

Tech stack: Not specified in the posting. Role centers on APIs, automation and LLM-powered tooling, CRM architecture, and custom-built systems (explicitly beyond off-the-shelf tools like Clay).

• 2+ years GTM engineering, RevOps, or growth engineering experience
• SEO and GEO proficiency required (near deal-breaker if absent)
• Builds with code and APIs, not just configures tools
• AI-native workflows required
• SF in-person, 5 days per week, 9am to 7pm
• AEO or GEO company background a strong plus (e.g., Profound)

• AI-native in daily workflows
• Engineering background or proven system-building ability
• Background at an AEO or GEO company
• Scrappy, early-stage startup experience

• Not AI-native in workflows
• No SEO or GEO experience
• Tool configurator, not a system builder

Salary$90,000–$160,000Equity0%–1%On-site policyIn-person, 5 days/week, 9am–7pmVisa sponsorshipNone availableEmployment typeFull-timeLocationSan Francisco, CA

• None provided on the role page.

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Intro Call — Direct conversation with the CEO. Stage 3 — Take-Home Exercise — Given a real Bluejay GTM problem, build a solution demonstrating architecture and, where possible, working pieces. Stage 4 — Take-Home Review and Live Jam — Walk through what you built and jam live on a different systems problem. Stage 5 — Team Meetup — Meet the team and assess mutual fit. Stage 6 — Offer Extended Stage 7 — Candidate Hired — Candidate accepts and starts.

AEO / GEO — Profound