# Senior Product Builder **Level:** Senior IC ยท L5 equivalent **Team:** Product **Reports to:** Staff Product Builder, Director of Product, or Head of Product **Type:** Full-time **Location:** Remote (Global) with meaningful overlap in your primary product area's timezone. --- ## The Short Version We are looking for a Builder PM who is already operating at the upgraded version of the role and is ready to raise the bar across an entire product area or set of related areas. You will own a meaningful product surface end-to-end. You will design AI workflows that span multiple systems. You will set the prototyping and evaluation standards your peers follow. And you will do it without writing a 12-page PRD. If you are already the person on your current team who keeps shipping prototypes faster than the spec can be written, this is the next chapter. --- ## What You Will Actually Do - **Own a product area end-to-end.** From the first signal in the discovery layer to the production deployment, you are accountable for outcomes, not output. - **Lead multi-system AI workflows.** You design how multiple agents, retrieval layers, models, and tools interact. You decide where to introduce memory, where to break a chain, and where a deterministic step is safer than a model call. - **Raise the prototyping bar.** Your prototypes are the reference quality on the team. New PMs learn by reading what you ship in a week. - **Own production evals.** You build the eval harness for your area. You catch drift before users do. You set thresholds for what gets shipped, what gets rolled back, and what triggers an investigation. - **Make cost-and-latency calls.** You can defend a model choice in front of finance and engineering with real numbers. You ship features that are economically viable at scale, not just demos that work. - **Mentor Product Builders.** You review prototypes, pair on architecture decisions, and help peers level up their AI-system instincts. --- ## What We Are Looking For ### Must-haves - 6+ years in a product role, with at least 3 years on AI-powered products - A portfolio of shipped AI features that are still in production today, with evidence you understood the cost and latency profile - Demonstrated ability to design multi-step agentic systems that include tool use, memory, retrieval, and structured outputs - Deep familiarity with prompt architecture, RAG patterns, evaluation design, and when to choose deterministic logic over a model - Track record of shipping in a paired product-engineering model where the prototype precedes the spec - Mentorship instinct. You make other people on your team better. ### Strong signal - You have built or maintained an evaluation harness for production AI features - You have made and defended a model-choice or architecture call that affected unit economics - You have run a discovery sprint that produced a working prototype inside one week - You have owned an AI feature through a model upgrade or rollback ### Not required - Engineering management experience - Production-grade backend coding - Public speaking or external presence --- ## What You Will Not Do - Manage a backlog as your primary deliverable - Coordinate handoffs between functions that should be working in the same room - Write spec documents nobody reads as a substitute for shipping a prototype - Defer system-design decisions to engineering and call it "not your lane" --- ## How We Work Paired product-engineering ownership. Prototypes expected within hours, not sprints. Reviews are outcome-based. Senior Builders set the operating norms for the team they work in. You will have significant autonomy and significant accountability. You will be expected to show your work as a working system, not a status update. --- ## Compensation and Benefits - Competitive base salary at the senior IC band - Meaningful equity participation - Remote-first, async-friendly team - Direct access to senior leadership and ownership of a consequential product area - Learning budget oriented toward hands-on tools, conferences, and programs --- ## How to Apply Skip the cover letter. Instead, send us: 1. **One AI feature or system you shipped that is still in production.** Brief description, your role, and ideally a screenshot or link. 2. **The eval or feedback loop you built around it.** How you knew it was working in week one, week eight, and week twenty-six. 3. **The cost-or-latency call you made** that changed the architecture or the model choice. We will respond to every submission that includes all three.