Jobs at Product.ai

Own end-to-end operational outcomes and run long-lived AI agents to move them. Improve recruiting funnel throughput, operate an ownership-equity program, manage company cadence, vendors, and workplace, and instrument agent compute and outcomes. Measured on outcome movement and CEO decision capacity returned.

Own agent-platform partnerships end-to-end: source and close integrations, build the production demo/integration (MCP/APIs), set pricing/monetization, and ship verified-commerce capabilities into major AI ecosystems. Success measured by live integrations, first MCP/API revenue, and reusable pricing/packaging playbooks.

Own and evolve a production fleet of long-running AI agent automations: design runtimes, liveness checks, verification systems, token economics, model-routing, and a shared knowledge base. Build deterministic alarms, oracle-separated checkers, regression corpora, and CI/monitoring that prevent silent failures. Work directly with the founder, ship verification-first features, and replace ad-hoc review with scalable verification and escalation paths.

Own and ship a consumer-facing "chat truth" surface end-to-end: define specs and mockups, direct agent-driven builds, create evals and verification gates for citation-bearing streaming UIs across web, extension, ChatGPT app, and mobile, and measure falsifiable outcomes.

Lead product owner for consumer quality across chat, web, extension, mobile, and personalization. Write locked specs agents build from, define falsifiable quality outcomes and verification tests, birth the Preference Graph, and run one-to-two end-to-end product outcomes per quarter. Work closely with founder, designers, and agents to ensure shipped decisions earn calibrated user trust.

Lead verification architecture for LLM-driven agent loops: design oracle-separated verifiers, build regression corpora and eval harnesses, own throughput and truth-quality gates, set model-routing rules, and author corpora and specs that guarantee adversarially verified claims at scale.

Own and operate a profitable revenue engine end-to-end: the publishing pipeline, promo-code verification, and conversion paths. Drive real-dollar outcomes (conversion, retention, revenue), model freshness/decay, integrate agent/AI access, and iterate in production with autonomy. Prove improvements with measurable financial impact.

The Workplace Operations Lead will manage the office environment, daily operations, and team support to ensure a productive workplace.

As a Senior Backend Engineer, you will develop and maintain verification pipelines and agent infrastructure, ensuring systems work efficiently and cost-effectively while handling rapid changes in a scalable architecture.

The Founding Designer will create coherent design across multiple AI-native consumer surfaces and define the user experience, leveraging AI tools for production without traditional design team support.