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Full-Time

Senior Manager

Technical Operations

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Biotechnology
Healthcare

Expert

Remote in USA

Category
DevOps & Infrastructure
Cloud Engineering
DevOps Engineering
Required Skills
AWS
Development Operations (DevOps)
Requirements
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
  • 10+ years of experience in cloud or related fields, with at least 3 years in a leadership role
  • Proven experience managing teams of customer engineering, DevOps, operations, or SRE engineers
  • Software engineering background and experience developing or operating SaaS platforms
  • Strong technical skills, with a deep understanding of AWS cloud infrastructure, cloud architecture, and related technologies
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills, with the ability to work effectively across departments and with external stakeholders
Responsibilities
  • Lead and manage the customer engineering team
  • Establish and maintain policies and procedures for the company's cloud operations
  • Work closely with all the development and DevOps teams, hold them accountable for adhering to supportability best practices and ensuring that their code is deployable, scalable, and maintainable in the cloud environment
  • Establish cost governance and drive down the operating costs of the product
  • Collaborate with cross-functional teams, and drive product improvements to improve supportability
  • Identify and implement process improvements to increase operational efficiency and customer operations
  • Drive production incident management, coordinate and drive debugging production issues, and represent the entire engineering team in sessions with the customers
  • Drive quality first mindset in the team and ensure that the product meets the quality and compliance guidelines
  • Empathize with the customers and be the voice of the customer in all the product related activities
  • Act decisively and remove impediments for the team
  • Hire strong engineers and retain them
  • Be the cultural steward and uphold the company values

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage their scientific data more effectively. The platform collects, centralizes, and harmonizes data from various lab instruments and software, making it easier to prepare for artificial intelligence and machine learning applications. Unlike its competitors, TetraScience's vendor-neutral and open design allows it to integrate with any lab equipment, providing flexibility in data management. The goal is to streamline data processes, saving time and improving scientific outcomes.

Company Stage

Series B

Total Funding

$99M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

-11%

1 year growth

-14%

2 year growth

-14%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaborations with major players like Bayer AG and Google Cloud indicate strong market validation and potential for significant growth.
  • The platform's ability to transform and centralize scientific data into AI-ready formats can drastically improve research and development efficiency, leading to faster drug development cycles.
  • ISO 9001:2015 certification underscores TetraScience's commitment to quality and compliance, which is crucial for attracting and retaining biopharma clients.

What critics are saying

  • The highly specialized nature of their platform may limit their market to primarily large biopharmaceutical companies, potentially restricting growth opportunities.
  • Dependence on strategic partnerships for advanced capabilities could pose risks if these partnerships were to dissolve.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform specifically designed for scientific data management, unlike many competitors who offer more generalized solutions.
  • Their platform's ability to connect all lab instruments, informatics software, and data apps provides a seamless data management experience across the biopharma value chain.
  • Strategic partnerships with industry giants like Databricks and Google Cloud enhance their capabilities in AI and data management, setting them apart from other life sciences data platforms.

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements