Engineering Manager

🕒 October 16

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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Logo of Great Question

Great Question

11 - 50 employees

Founded 2021

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

<Great Question> is an all-in-one, enterprise-grade SaaS platform for UX research that helps teams recruit participants, run user interviews, surveys and prototype tests, and synthesize findings. It provides participant recruitment (external panel of 3M+), scheduling, incentives, a secure research repository, AI-powered transcription and insight synthesis, and compliance with SOC 2, GDPR, and HIPAA. The product is aimed at UX researchers, product managers, and research-ops teams at B2B enterprises to centralize research operations and share actionable insights across organizations.

📋 Description

• Lead the Methods and Insights engineering teams • Report to the Director of Engineering • Hire and staff teams • Conduct 1:1s, coaching, feedback, performance management, and career growth • Run team planning, sequencing, unblocking, risk management, and stakeholder collaboration • Lead changes in engineering practices and ensure committed work ships at high quality • Own operational health after launch, including monitoring and red-teaming • Build team systems for AI-agent development, including harnesses, conventions, CI gates, and shared components • Work on shared components, agent harnesses, developer experience, and architectural decisions • Collaborate with PMs, the Head of Product, and founders on team priorities and delivery • Learn the codebase, merge an initial pull request, and work in customer data and team communication channels • Take ownership of delivery for Methods and Insights within 60 days • Improve planning and execution and ship shared components or developer-experience improvements • Shape hiring, team structure, and engineering strategy

🎯 Requirements

• Previous Engineering Manager experience; this is not a first EM role • Experience hiring, running performance cycles, and growing people into bigger scope • Technically strong, at least a solid senior engineer level • Experience building and running production systems • Experience with agentic coding harnesses such as Claude Code, Codex, or Cursor • Opinions on how teams should work with AI agents while maintaining quality • Resourcefulness under ambiguity • Product focus and customer orientation • Clear writing skills • Experience with people management, coaching, feedback, performance management, and growth • Experience with planning, sequencing, unblocking, risk management, stakeholder collaboration, monitoring, and red-teaming • Ability to work remotely and asynchronously • Ability to work in a fast-changing, AI-native environment • Submit a few sentences about a team led and what it shipped • A link to something built and used by real people is a bonus

🏖️ Benefits

• Remote-first culture with high trust and high autonomy • Annual team retreats and virtual events • Opportunity to work on cutting-edge AI integrations that matter • Competitive compensation & equity • Generous PTO • Health benefits • Learning stipend • Latest tools and models • Generous tokens for AI tools

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