Engineering Manager, Customer Trust

Vanta helps businesses earn and prove trust through continuous security monitoring and verification. The Engineering Manager, Customer Trust will lead two squads building Trust Center and Questionnaire products, driving execution against strategic roadmaps. The role partners with product, design, AI Platform, and go-to-market teams while developing engineers and shaping technical strategy.

Responsibilities:

• Lead two squads to deliver consistently and sustainably against a clear product roadmap
• Set a high-accountability, high-ownership delivery culture — weekly goal tracking, tech spec reviews, and proactive project visibility
• Partner closely with product and design to shape roadmap priorities, make tradeoff decisions, and ensure engineering is a strong voice in what gets built and why
• Engage meaningfully in technical decisions — read specs, participate in architecture discussions, and guide your team toward sound engineering choices without needing to write all the code yourself
• Attract, grow, and retain strong engineers; manage and uplevel senior ICs and foster an environment where your team does their best work
• Work cross-functionally with GTM, the AI Platform team, and other partners to identify opportunities, clear blockers, and ship for the business
• Contribute to Vanta’s engineering culture by helping build the processes, norms, and practices that help the whole organization scale

Requirements:

• 2+ years of full-time engineering management experience leading teams of 6–8+ engineers
• Track record of running high-execution teams with disciplined delivery practices — tech spec reviews, weekly goal tracking, and strong timeline accountability
• Experience managing and upleveling senior individual contributors
• Product engineering background: you've led teams building customer-facing software, not primarily infrastructure or platform
• Technically engaged and comfortable in architecture discussions, able to read specs critically and make informed tradeoff decisions
• Proven ability to shape product and long-term technical strategy in close partnership with a PM
• Strong decision maker who effectively balances ambiguity, available data, speed, and quality
• Uses AI in day-to-day work to amplify your skills and strengthen your outcomes, applying it across routine workflows, actively building fluency through experimentation, and exercising sound judgment to ensure AI-assisted work meets a high quality bar