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Salary: USD 150,000 - 230,000 / annual
TetraScience is seeking a Senior Engineering Manager to lead Scientific Data Engineers (SDEs) across multiple forward-deployed engineering squads, driving both technical and organizational excellence.
In this role, you will supervise and guide SDEs in planning, implementation, testing, and documentation while fostering a culture of accountability, collaboration, and continuous improvement. You'll manage performance, career development, and organizational design as teams scale, with responsibility for hiring, mentoring, and retaining strong engineering talent and building a pipeline of future technical leaders.
You will proactively identify inefficiencies in engineering workflows, processes, and cross-team handoffs, then design and implement systems (planning cadences, metrics, tooling) that increase velocity and reduce friction. You'll establish and track meaningful engineering metrics such as cycle time, deployment frequency, and incident rates to guide decisions, driving continuous process improvement while balancing speed with sustainability.
On the technical side, you'll set and uphold engineering standards for code quality, architecture, testing, and operational reliability across teams. You'll partner with tech leads and architects on key technical decisions and trade-offs, champion best practices in system design, scalability, and maintainability, and stay close enough to technical details to ask sharp questions and unblock teams.
You'll translate company and product strategy into actionable engineering roadmaps across multiple teams, partner closely with Product, Design, and other stakeholders to align priorities and timelines, and communicate progress, risks, and trade-offs clearly to executive leadership. You'll own budget, headcount planning, and resource allocation for your organization.
Success in the first year means identifying key engineering operational bottlenecks, establishing clear processes with reduced cross-team friction, enabling teams to accurately predict effort and deliver high-quality products on time, achieving measurable improvements in velocity/quality/reliability metrics, and positioning Engineering as a trusted, proactive partner to Product and leadership.
**Requirements**
Required:
- 10+ years of work experience, including at least 5 years as a manager or leading through other managers
- Proven track record of identifying and resolving operational inefficiencies at scale (process, tooling, or organizational)
- Demonstrated commitment to engineering excellence — quality, reliability, and maintainable systems, not just shipping speed
- Experience managing managers and building organizational structure as teams grow
- Strong technical background with credibility to engage deeply on architecture and design decisions
- Excellent communication skills with experience presenting to executive stakeholders
- Experience setting and using engineering metrics to drive decisions and improvements
- Comfortable working in changing environments and navigating unclear requirements
Nice to Have:
- Experience scaling an engineering org through significant growth (2x–5x headcount)
- Experience working in startups
- Experience with life science data
- Experience with distributed/remote engineering teams
- History of building or maturing engineering processes from scratch (SDLC, release management, incident response)
