Staff Software Engineer, Agentic AdsNew$250K–$360K

The opportunity

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

What you'll do

  • Set technical direction for Agentic Ads, translating customer needs into an: architecture and roadmap that balance rapid learning with long-term reliability.

  • Build agent-powered experiences that help businesses make informed growth: decisions, translating user goals into understandable recommendations and appropriately authorized actions.

  • Design extensible integrations with external services, using well-defined: APIs and abstractions that accommodate changing provider capabilities and requirements.

  • Partner with product and data teams to establish reliable measurement,: connect product activity to business outcomes, and address data quality, delayed feedback, and uncertainty.

  • Develop intelligent automation that learns from performance signals and helps: users improve outcomes within their goals and constraints.

  • Make financial control a product requirement: scoped authorization, explicit approvals, budget limits, auditable decisions, clear reporting, and reliable pause controls. Distinguish recommendations from actions that commit customer spend.

What they're looking for

  • Experience building advertiser-facing products, marketing automation,: campaign-management tools, growth platforms, or software that helps businesses acquire customers.
  • Experience integrating advertising or marketing APIs; familiarity with: account onboarding, campaign lifecycles, and platform requirements.
  • Working knowledge of conversion tracking, attribution, customer acquisition: cost, return on ad spend, budget pacing, and the limits of optimizing with low conversion volume.
  • Experience with experimentation, incrementality measurement, constrained: optimization, recommendation systems, or decision-making under uncertainty.
  • Experience building permissioned, multi-tenant products with approval: workflows, budget controls, audit trails, and privacy-aware handling of customer and conversion data.