Engineer in Residence: MarketRadar

career • Mountain View, CA

1d • Onsite

About The Position

This role is to build MarketRadar, an AI-native commercial action layer for SKU-heavy manufacturers. Category, pricing, product, and sales enablement teams need to understand fast-moving competitive changes across many products, configurations, price bands, channels, and geographies. The hard part is not collecting more data. The hard part is turning fragmented market signals into a defensible recommendation about what to do with the company's own portfolio, pricing, positioning, inventory, and sales motion.
The first wedge is for OEM commercial teams that manage complex hardware portfolios. Existing digital shelf and price monitoring products are built for a retail lens: price, promotion, availability, and assortment. MarketRadar is built for the OEM lens: how a competitor's price, volume, configuration, channel, or portfolio move should change the OEM's own commercial action.
AI Fund is working with an enterprise design partner on the problem. The residency is designed to test whether this can become a venture-scale company and whether you are the right technical founder to lead it.

Requirements

• Strong hands-on engineering ability across backend systems, data products, and AI-native workflow software.
• Experience with messy structured or semi-structured data, such as product catalogs, SKU normalization, taxonomy mapping, pricing data, GTM data, sales enablement systems, CRM data, or supply chain signals.
• Judgment about entity resolution, recommendation systems, monitoring, evaluation, and model orchestration.
• Comfort building for enterprise buyers where security posture, audit trails, and deployment trust matter from day one.
• Evidence that you can use AI coding assistants and modern AI tools to move faster without outsourcing engineering judgment.
• Founder-level curiosity about the customer workflow, not just the model or dashboard.
• US work authorization. We are unable to sponsor visas for this role.

Nice To Haves

• Experience in OEM, manufacturing, consumer electronics, commerce infrastructure, retail pricing, catalog systems, market intelligence, competitive intelligence, sales intelligence, RevOps data products, or channel analytics.
• Experience building agentic monitoring, proactive alerting, eval harnesses, model routing, open-source model deployment, or token-cost optimization in production.
• Experience with category planning, commercial strategy, pricing optimization, product taxonomy, SKU enrichment, win/loss analysis, or supply chain visibility.
• Founder, founding engineer, or senior IC experience in a B2B software company.

Responsibilities

• Own the technical build from data model and ingestion through entity resolution, signal detection, recommendation logic, and operator workflow.
• Work directly with AI Fund's build team and enterprise users to pressure-test the wedge, prototype, and customer workflow.
• Decide which workflow ships first: competitive portfolio remapping, volume/configuration traction detection, win/loss intelligence, sentiment mining, or supply chain and lead-time signals.
• Build evaluation loops for recommendation correctness, false remaps, hallucinated spec drivers, and constraint failures.
• Design for enterprise trust from the beginning, including data isolation, sandboxed agents, auditability, and cost-conscious model routing.
• Move quickly from prototype to a pilotable system while keeping the core technical judgment explicit.

Benefits

• Competitive residency compensation, paid for the duration of the engagement.
• Equity consideration at founding-team terms if the venture spins out and you become a founder.
• AI Fund covers tools, infrastructure, and compute needed during the residency.

What This Job Offers

• Career Level: Entry Level
• Education Level: No Education Listed