Senior Manager of Technical Operations, TetraScience
More information about location
Scientific data and AI cloud company
Open for applications
Scientific data and AI cloud company
101-200 employees
Open for applications
More information about location
101-200 employees
Company mission
To radically improve and extend human life.
Role
Who you are
- 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
What the job involves
- Lead and manage the customer engineering and DevOps teams
- Establish and maintain policies and procedures for the company's cloud operations
- Work closely with all the development teams, hold them accountable for adhering to DevOps 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 productivity
- 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
Our take
TetraScience connects lab instruments, software, and data applications through a cloud-native platform that’s purpose-built for the bio and pharma industries. As the only software of its kind, it provides scientific data that can be transformed into faster actionable information, accelerating new scientific discoveries.
Due to TetraScience’s machine learning capabilities, it benefits from partnerships and collaborations with other science-focused tech companies. Recently, TetraScience announced a strategic partnership with Google Cloud to speed up drug development and other scientific discoveries. This partnership combines the Tetra Scientific Data and AI Cloud with Google Cloud’s infrastructure and AI technologies, empowering the life science industry to harness Scientific AI for quicker insights and improved research, development, and quality-control processes for advanced therapies.
With substantial funding behind it, TetraScience is a significant asset to the scientific community. The company's commitment to innovation and collaboration ensures it remains at the forefront of accelerating scientific research and discovery, with its partnerships and technological advancements driving continuous growth and impact in the industry.
Steph
Company Specialist
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2021
$80m
SERIES B
May 2020
$11m
SERIES A
Total funding: $117.1m
Company benefits
- Unlimited PTO
- 100% Company Paid Health, Dental & Vision
- Company Paid Life Insurance
- 401k Savings
- Company Paid Disability Insurance
- Equity Program
Company values
- Transparency and context
- Trust and collaboration
- Fearlessness and resilience
- Equality of opportunity
- Alignment with customers and partners
- Commitment to craft
Company HQ
Back Bay, Boston, MA
Articles
Leadership
Siping Wang
(President & CTO)Previously COO and CEO at TetraScience and Software Engineering at Cornell Superconducting RF Lab.
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