Staff Software Engineer (Agentic Ads)

Join Replit's Money team as a Staff Software Engineer, focusing on Agentic Ads, an AI-driven customer acquisition platform. You'll define a new product area, build agent-powered experiences, design integrations, and develop intelligent automation. This hands-on role requires technical leadership, cross-functional collaboration, and a product-minded approach. Enjoy a remote-first work environment with flexible hours, comprehensive benefits, and opportunities for professional growth.

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

• A track record of Staff-level technical leadership on complex customer-facing products or platforms: setting direction, resolving ambiguity, and delivering through launch and production operation across multiple teams
• Experience building and operating third-party integrations that remain correct under duplicate requests, partial failures, rate limits, changing schemas, and inconsistent external state
• A product-minded approach to simplifying complex workflows for non-experts, with hands-on ownership from prototype through reliable production operation
• Demonstrated ability to align cross-functional teams, explain technical trade-offs, mentor engineers, and drive execution without relying on reporting authority
• Practical experience shipping LLM-powered products or agentic workflows, including tool use, orchestration, evaluations, and safeguards for actions taken against external systems
• Strong data and measurement judgment: experience using instrumentation and experiments to evaluate product outcomes, and the ability to reason about noisy data, delayed feedback, uncertainty, and correlation versus causation
• Sound judgment around systems that act on a user’s behalf, including authentication, authorization, sensitive data, approval boundaries, and limits on consequential actions
• Strong hands-on software engineering and system design skills across APIs, data modeling, distributed systems, asynchronous workflows, and customer-facing product experiences
• 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
• Experience with experimentation, incrementality measurement, constrained optimization, recommendation systems, or decision-making under uncertainty
• 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 building permissioned, multi-tenant products with approval workflows, budget controls, audit trails, and privacy-aware handling of customer and conversion data
• Experience connecting application events or server-side conversion signals to advertising platforms, or integrating creative generation and landing-page experimentation into growth workflows
• Experience with agent tooling, durable workflow execution, delegated authorization, or evaluation frameworks for agents that take consequential actions
• Experience building for small businesses or first-time advertisers, where clear guidance, limited budgets, and sparse data shape the product
• These are additional strengths, not a checklist. Experience with every ad platform is not expected; ad-serving infrastructure experience and an ML research background are not prerequisites