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ProductNow

Enterprise AI context engine with governance

Forward Deployed Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in a related field or equivalent practical experience.
  • At least 1 year of experience as a frontend or full-stack developer, ideally embedded with design and product teams.
  • A track record of shipping user-facing features end to end in dynamic environments.
  • Knowledge of React and some experience with a backend framework such as Node.js or Django.
  • Some familiarity with SQL or NoSQL databases and API design.
  • Excitement about shipping features that directly impact users and iterating quickly based on feedback.
  • Values different perspectives, creates space for input from others, and helps foster a positive team culture.

Responsibilities

  • Embed directly with customers to solve high-stakes problems hands-on.
  • Own the full arc from discovery to deployed solution.
  • Partner closely with product and engineering.
  • Act as a trusted technical advisor and primary point of contact for customers.
  • Balance shipping speed against long-term maintainability.
  • Explore tools and technology stacks to match the customer's environment.
  • Uphold a collaborative team culture while operating independently in the field.

About the Company

ProductNow

Enterprise AI context engine with governance

ProductNow provides an enterprise AI context engine that continuously captures and reconciles organizational context from code, calls, CRM, tickets, docs, and conversations into a shared source of truth with provenance and access controls. It works by collecting context from multiple enterprise systems, reconciling it into a single, trusted feed, and exposing governed data to AI agents and human users. Unlike systems that leave context scattered or stale, ProductNow delivers a centralized context infrastructure that supports reliable agent action through provenance, access controls, and governed workflows. The company's goal is to enable risk-aware, accurate, and efficient AI-assisted decision-making across large organizations by ensuring agents act on up-to-date, provable context.

Company size
11-50
Company stage
Seed
Total funding
$6M
Headquarters
Palo Alto, CA
Founded
2025

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