Product Engineer

This role asks for a full stack engineer who can take a product from idea to shipped and polished, working across React, Python, Postgres and Clickhouse. A strong candidate has owned a product before, either launching something new or shaping features directly with customers, and is comfortable deciding what to build rather than waiting for a spec. Building production agents and data heavy products are listed as bonuses, not must haves.

The product itself is AI agents that make most budget decisions in ad accounts, so the engineer works on the harness, memory, learning loops and tools those agents rely on. AI also changes the daily craft, since coding agents are used for gathering context, analyzing behavior, mocking solutions and writing code. What stays human is judgment about what to build, reading customer problems and owning outcomes.

Working here means hands on time with production agents doing high stakes work on large ad budgets, plus building the feedback and learning loops around them. A candidate can prepare by building an agent that takes real actions and handles memory and tool use, and by getting comfortable using coding agents across the whole workflow. Familiarity with data heavy systems would help given the ad and creative data involved.

• Full stack product ownership
• Shipped 0 to 1 products
• Production agent building

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

Converge provides an artificial intelligence growth platform that automates media buying and conversion tracking for consumer brands, according to company statements.