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Über diese Senior Manager, Scientific Data Engineering Stelle bei TetraScience

TetraScience · Vor Ort · Cambridge, Massachusetts, United States

About the Role

We're looking for a Senior Engineering Manager to lead Scientific Data Engineers (SDE) spread across multiple forward deployed engineering squads and drive both technical and organizational excellence. This role is ideal for a leader who can zoom out to see systemic inefficiencies across teams and processes, then roll up their sleeves to fix them — while also building a culture where engineers do their best work.

What You'll Do

Team & People Leadership

  • Supervise and guide SDEs in each squad in planning, implementation, testing, and documentation. Foster a culture of accountability, collaboration, and continuous improvement across teams.
  • Lead by example - comfortable with diving deeper into organizational and technical challenges and help the team navigate ambiguity and vagueness.
  • Manage performance, career development, and org design as teams scale
  • Hire, mentor, and retain strong engineering talent; build a pipeline of future technical leaders

Operational Excellence

  • Proactively identify inefficiencies in engineering workflows, processes, and cross-team handoffs — don't wait to be told something is broken
  • Design and implement systems (planning cadences, metrics, tooling) that increase velocity and reduce friction across teams
  • Establish and track meaningful engineering metrics (cycle time, deployment frequency, incident rates, etc.) to guide decisions
  • Drive continuous process improvement, balancing speed with sustainability

Technical & Engineering Excellence

  • Set and uphold engineering standards for code quality, architecture, testing, and operational reliability across teams
  • Partner with tech leads and architects on key technical decisions and trade-offs
  • Champion best practices in system design, scalability, and maintainability
  • Stay close enough to the technical details to ask sharp questions and unblock teams when needed

Strategy & Cross-Functional Partnership

  • 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
  • Communicate progress, risks, and trade-offs clearly to executive leadership
  • Own budget, headcount planning, and resource allocation for your organization

Requirements

What We're Looking For

Required

  • Overall 10+ years of work experience, including at least 5 years being 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 the 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 a changing environment and navigating through unclear requirements

Nice to Have

  • Experience scaling an engineering org through significant growth (e.g., 2x–5x headcount)
  • Experience working in startups
  • Experience in working with life science data
  • Experience with distributed/remote engineering teams
  • History of building or maturing engineering processes from scratch (SDLC, release management, incident response)

What Success Looks Like in the First Year

  • Identify key engineering operational bottlenecks and inefficiencies
  • Engineering teams operate with clear, well-understood processes and reduced cross-team friction
  • Engineering teams able to accurately predict engineering effort and deliver high-quality products on time
  • Measurable improvement in key engineering metrics (velocity, quality, reliability)
  • Engineering is seen as a trusted, proactive partner by Product and executive leadership

Benefits

100% employer paid benefits for all eligible employees and immediate family members.

401K.

Unlimited paid time off (PTO).

Company paid Life Insurance, LTD/STD.

The salary range for this position is $150K-$230K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.

This position isn't eligible for visa sponsorship

Bereit, sich bei TetraScience zu bewerben?
Bei TetraScience bewerben

Über TetraScience

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.

In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.

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