Engineering Manager, Fraud & Identity Platform

Instacart is a grocery delivery and marketplace platform that connects customers, shoppers, retailers, and brand partners. The company operates a “Flex First” model, giving employees flexibility to work from home, an office, or elsewhere while connecting through regular in-person events.

The Fraud, Appeasement & Identity team protects the marketplace. Within it, the Identity Platform group builds and operates core services that verify user identity, secure accounts, and provide trustworthy identity and eligibility signals across Instacart. This Engineering Manager will lead the Identity and Risk Platform team, owning trust infrastructure across authentication, account lifecycle, identity verification, and graph and relationship modeling, while managing and developing a team of backend and platform engineers.

• Own the vision, roadmap, and execution for Identity and Fraud & Risk platforms, spanning authentication, account lifecycle, identity verification and eligibility, identity graph signals, and fraud detection and prevention.
• Manage and develop a team of software engineers through goal-setting, coaching, feedback, and career growth, building an inclusive team culture.
• Ensure reliable, high-quality systems by defining service health goals, improving on-call practices, leading post-incident learning, and driving long-term remediation.
• Partner with Product, Data Science and Machine Learning, Security, Fraud Operations, Legal, and external identity vendors on initiatives such as account takeover prevention, identity verification, eligibility workflows, and compliance capabilities.
• Lead AI-forward development practices, including thoughtful use of AI agents in design, coding, testing, and operations with guardrails for safety, privacy, and compliance.
• Define technical strategy for how identity and risk signals are surfaced, contracted, and consumed across agents, AI systems, and internal platforms.

• 7+ years of software engineering experience, including 2+ years in an engineering leadership, management, or technical lead role.
• Experience building and operating large-scale distributed systems or real-time decisioning platforms in production, such as identity, fraud, risk, payments, or other safety-critical domains.
• Strong backend or platform engineering background with languages such as Go, Java, or Python.
• Hands-on familiarity with cloud infrastructure such as AWS or GCP and modern datastores such as Postgres, DynamoDB, Redis.
• Experience managing or leading engineers through hiring, performance management, feedback, coaching, and career development.
• Experience in an AI-forward engineering environment, such as AI-assisted development, agentic workflows, or LLM-powered services.

Base pay ranges for US-based candidates vary by permanent work location: CA, NY, CT, NJ: $230,000—$242,500; WA: $220,000—$232,000; OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $211,000—$222,500; all other states: $192,000—$202,500. The role is eligible for a new hire equity grant and annual refresh grants.