# Engineer in Residence: MarketRadar

**Company:** [AI Fund](https://hotfix.jobs/companies/ai-fund)
**Location:** Mountain View, CA
**Role:** Fullstack Engineering
**Experience:** 5+ years
**Skills:** Entity Resolution, Recommendation Systems, Backend Systems, Data Pipelines, Ai Workflow Software, Sku Normalization, Taxonomy Mapping, Model Orchestration, Evaluation Loops, Agentic Monitoring
**Posted:** 2026-07-03

> Engineer in Residence building MarketRadar, an AI-native commercial action layer for OEMs. Own full technical stack from data ingestion and entity resolution of competitor SKUs to recommendation engines and constraint-aware alerting workflows. Requires strong backend/AI engineering, experience with messy product/catalog data, and founder-level product judgment. 10-12 week on-site residency in Mountain View leading to potential founding role.

## Job Description

## What you'll build
- A synthetic but realistic market-signal pipeline that ingests competitor portfolio data, channel movement, sell-out velocity, pricing, and configuration changes.
- A spec-aware entity resolution system that maps competitor SKUs and portfolio restructures against the customer's own lineup without relying on name matching.
- A recommendation engine that turns detected changes into commercial actions such as monitor, promote an adjacent SKU, adjust price, update positioning, flag a portfolio gap, or investigate a future configuration change.
- A constraint layer that makes recommendations respect the customer's own cost, margin, inventory, channel, and sales enablement realities.
- A monitoring and alerting workflow that can run continuously, surface changes proactively, and improve from user feedback.

## What you'll do
- 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.

## 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.

## 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.

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**Canonical:** https://hotfix.jobs/jobs/9f675ee5-3080-44a4-b3af-4549adb1c17f