Founding AI Engineer

About the Role

We're a small, product-focused team building an AI-powered B2B pricing platform that helps companies continuously optimize their pricing strategies — from packaging design and willingness-to-pay analysis to real-time deal guidance and discount governance. As our Founding AI Engineer , you'll own the evaluation systems, feedback loops, and LLM infrastructure that allow our pricing AI to earn trust and drive measurable revenue impact.

This is a high-ownership, founding-team role. Your work directly ties model outputs to revenue and compliance constraints in high-stakes B2B pricing decisions. You'll be shipping to real customers from day one and expected to own outcomes end-to-end.

What You'll Do

• Build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth.

• Systematize and automate expert review workflows that are currently done manually.

• Develop AI personas that simulate B2B buying committees and behavioral effects using usage data and call transcripts.

• Automate persona training pipelines that are today manual.

• Own LLM routing across providers (Anthropic, Google, etc.) with explicit cost, latency, and quality tradeoffs.

• Maintain infrastructure and data residency boundaries (e.g., ensure EU model calls remain in the EU).

• Extend the MCP server used by LLM agents — including customer-facing agents — so features are agent-driven.

• Define "done" as when agents can drive features through MCP, not just when a UI renders them.

• Work within a typed ontology of pricing entities so model outputs are structured and auditable.

• Identify and remediate systemic latency, data drift, and cold-start issues in the pricing loop.

What We're Looking For

Required

• 8+ years of engineering experience with strong, recent production LLM depth.

• Proven track record shipping and owning LLM-powered product features in production — not just dashboards or research prototypes.

• Direct hands-on experience building evals and observability for LLM systems.

• Experience with MCP or building tools/integrations for LLM agents.

• Familiarity with platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter.

• Experience operating under data residency, SOC 2, and GDPR constraints in domains where correctness is audited (pricing, billing, payments, or similar).

• Strong communication skills — able to explain non-deterministic systems clearly to clients, partners, and pricing experts.

• Product-engineer instincts: able to scope pragmatic solutions and deliver under ambiguity in a lean startup environment.

• Authorized to work in the US. Visa sponsorship is not available for this role.

Nice to Have

• Experience building evaluation harnesses specifically for AI pricing recommendations using historical pricing outcomes as ground truth.

• Background in SaaS pricing, revenue operations, or a high-stakes revenue-impact domain.

Compensation & Benefits

• Base salary: $225,000 – $255,000 USD annually

• Early-stage equity commensurate with a founding-team role

• High-impact, high-ownership position with direct influence over product and technical direction

Location

This role is on-site in San Francisco, CA . Candidates should be based in or willing to relocate to the San Francisco Bay Area.