full-time📂 Data Science & Analytics🏢 On-site🏭 Technology
✨ Job Highlights
★Pay: $150,000 to $230,000 a year
★On-site: Massachusetts
★Full-time role in data science & analytics
★Experience asked for: 10+ years
★Apply directly on TetraScience's careers site
★Posted September 25, 2026
Full Job Description
There is a Senior Manager, Scientific Data Engineering vacancy at TetraScience, and the role is based in Massachusetts. This is full-time work at TetraScience's location. The salary range published with the job is $150,000 to $230,000 a year.
The description below comes from TetraScience's own job posting.
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
Quick answers
How much does this Senior Manager, Scientific Data Engineering job pay?
TetraScience advertises $150,000 to $230,000 a year for this role.
Is this a remote, hybrid or office job?
No, it is an on-site job in Massachusetts.
What does TetraScience look for in candidates?
The posting mentions at least 10 years of relevant experience. Read the full description above for the complete list.
Where do I send my application to TetraScience?
Use the apply button on this page. It takes you to TetraScience's own application form, so your CV goes directly to their hiring team.
Is this job still open?
TetraScience published the role on September 25, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: TetraScience careers page (apply.workable.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.
🏢 About 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…
