Engineering Manager
Great Question · Remote · United States (Remote) ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Engineering Manager
- AI-native workflow
- Series A startup
- Lead two teams
You will manage two core engineering teams responsible for study execution and data insights within Great Question's end-to-end research platform. Reporting to the Director of Engineering, you will balance people growth, operational delivery, and building shared systems for AI-assisted development.
The company has rebuilt its workflow around AI agents, expecting engineers to leverage tools like Claude Code or Cursor. You will help define conventions and quality gates that allow teams to ship fast while maintaining high standards in this async-first, remote culture.
What you'll do
- Hire, coach, and manage performance for engineers in Methods and Insights teams
- Own delivery cycles including planning, unblocking, and risk management
- Ensure operational health from monitoring to red-teaming post-launch
- Build shared components and CI gates to support agent-based coding
- Collaborate with product leaders on roadmap execution and architectural decisions
- Maintain codebase quality through conventions and developer experience improvements
What you'll need
- Previous experience as an Engineering Manager with hiring and performance cycles
- Strong technical background as a senior engineer with production system experience
- Proficiency with agentic coding tools like Claude Code, Codex, or Cursor
- Ability to provide direct feedback and handle difficult personnel conversations
- Skill in turning ambiguous problems into structured delivery plans
- Excellent written communication for async and remote collaboration
- Comfortable working in high-ambiguity environments with shifting priorities
Stack
- Claude Code
- Codex
- Cursor
- CI/CD pipelines
- Sandbox environments
How you'll work
- Fully remote with high trust and autonomy
- Ashynchronous-heavy communication style
- Fast automated CI gates instead of mandatory approvals
- Generous token allowance for AI models
What you get
- Competitive compensation and equity package
- Generous paid time off and health benefits
- Learning stipend for professional development
- Annual team retreats and virtual events
- Access to latest AI tools and models
Hiring process
- Submit sentences on past team leadership and shipped products
- Include link to built product used by real people if available
- Explain interest in the role and AI-native engineering