FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Head of Software Engineering
Adaptyv Bio. Own the engineering roadmap, deciding what to build, defer, or discontinue .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in engineering leadership, including roadmap ownership, team development, and architectural design across frontend, backend, and data systems. Proficient in integrating AI-assisted practices within software infrastructure for automated biology labs.
Highest-signal resume keywords
Engineering Roadmap OwnershipTeam Building And ManagementArchitectural Design Across Frontend And BackendAI Integration In Software DevelopmentHigh-Growth Environment Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Software EngineeringFrontend DevelopmentBackend DevelopmentData Pipeline DevelopmentAI Agent DevelopmentCoding Tools ProficiencyScope ManagementObservability SystemsAPI DevelopmentWorkflow Orchestration
Soft Skills
High-Autonomy MindsetLeadershipCollaborationStrategic ThinkingQuality Standards Setting
Industry Keywords
BiologyAutomated LabsStartup EnvironmentHigh-Growth EnvironmentEngineering Standards
About the role
Key responsibilities & impact- Own the engineering roadmap, deciding what to build, defer, or discontinue
- Set technical direction and architecture across frontend, backend, data pipelines, and lab-hardware integration
- Ship code directly on high-leverage problems
- Hire, grow, and set quality standards for a high-performing engineering team
- Build AI-assisted development practices into a team speed advantage
- Translate company strategy into engineering priorities and scale the engineering organization
- Build software infrastructure for an automated biology lab that enables AI agents to run experiments
- Collaborate on systems involving API-controllable lab hardware, orchestrated workflows, observability, physical-world data pipelines, and AI troubleshooting systems
Requirements
What you’ll need- Production software engineering experience for years
- Prior experience hiring, managing, and developing engineers, including building a fast, high-quality team at least once in a startup or high-growth environment
- Experience owning or significantly shaping an engineering roadmap, including pragmatic prioritization and scope management
- Architectural breadth across frontend, backend, data, and infrastructure
- Experience building with AI agents and coding tools, with a point of view on their impact on team structure, tooling, and workflow
- Genuine interest in biology; no biology background required
- High-autonomy, founder mindset
- Must provide a GitHub link or another way to demonstrate software built