Engineer in Residence: Live Selling Copilot

Live commerce is bottlenecked by host capacity and operational chaos. Great sellers win on personality and community, but they still have to multitask like air-traffic controllers: managing chat, pacing listings, handling inventory, answering niche questions, and doing post-show follow-up. This role is to build a LiveOps Copilot: a human-first AI producer that runs backstage for live commerce sellers, keeps the host front and center, and automates the operational work around the show.

What You'll Build

• A backstage producer cockpit that clusters chat, drafts or sends guardrailed replies, and surfaces the highest-value audience questions in real time.
• A listing and inventory control towebaer that helps hosts manage sequencing, pinned items, bundles, and oversell or stale-listing risk during the show.
• A real-time product research layer that answers unknown questions from seller notes, listing data, historical Q&A, and trusted category sources.
• Multilingual translation and localized reply support so hosts can engage cross-border audiences without losing flow.
• A lightweight post-show repurposing workflow that turns streams into reusable clips, Q&A moments, and listing assets.

What You'll Do

• Build the end-to-end real-time system across chat ingestion, retrieval, guardrails, operator UX, listing controls, and post-show outputs.
• Work with one of our large LPs as your build/design partner to identify the right pilot category, host set, data path, and success metrics for the MVP.
• Design the automation ladder from draft support to host-controlled agentic replies without undermining authenticity or seller trust.
• Make decisions about latency, guardrails, disclosure, and escalation so higher-autonomy features are safe and useful.
• Work with AI Fund's build team on product wedge, technical risk, and the path from  pilot to a broader live-commerce OS.

What You Need

• Strong full-stack execution, especially on real-time systems, operator workflows, and AI-assisted products.
• Demonstrated experience building GenAI products with retrieval, tool use, guardrails, and production feedback loops.
• Product judgment for human-in-the-loop automation where the right answer is usually to remove busywork rather than replace the human outright.
• Ability to move quickly with external design partners and translate ambiguous feedback into working product decisions.
• You actively use AI coding assistants and modern GenAI tools as part of your build workflow.
• US work authorization. We are unable to sponsor visas for this role.

Helpful but Not Required

• Experience with live commerce, creator tools, marketplaces, video products, or seller operations.
• Experience with multilingual UX, moderation systems, or low-latency chat infrastructure.
• Founder or founding engineer experience.

Who This Is For

• A builder who likes real-time operator products, tight feedback loops, and markets where authenticity matters.
• Someone who sees the wedge in backstage tooling now, while building the data and control layer that could support deeper automation later.

What to Know Upfront

• This is a 12-week, full-time, on-site residency in Mountain View, California.
• Not every residency becomes a company. The goal is to pressure-test the idea quickly and honestly with real users and customers.
• You will be building an AI Fund idea, not bringing your own startup idea into the program.
• The process typically includes a Builder Event or equivalent working conversation, then a 48-hour Build Challenge, then panel review with AI Fund build leadership.
• The compensation is intentionally modest during the residency because the upside, if the idea works, is a founder-level role.

Compensation

• $10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.