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Senior Product Manager - Enterprise Platform Administration

Remote in USA

Full-Time

Senior Product Manager

Enterprise Platform Administration

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

No salary listed

Senior, Expert

No H1B Sponsorship

Remote in USA

Candidates must be based in the United States.

Category
Technical Product Management
Product
Required Skills
Product Management
Machine Learning
Requirements
  • 7+ years of technical product management experience, preferably in scientific data management, cloud platforms, or SaaS.
  • Prior experience with enterprise SaaS customers
  • Strong technical background in cloud computing, identity and access management, ML / AI model management, and enterprise SaaS platforms.
  • Proficient in data governance design for including functional metadata management, schema, model management.
  • Ability to drive cross-functional collaboration with engineering, security, compliance, and customer teams.
  • Bachelors or Masters degree in management, business, computer science or other equivalent.
Responsibilities
  • Own the Enterprise Platform Administration area product strategy and roadmap, prioritizing data governance, compliance, and operational intelligence areas.
  • Define and optimize access management, authentication, and audit capabilities in alignment with regulatory requirements.
  • Build relationships with Scientific Technology (IT) customers; understand customer’s processes and objectives; and introduce new ways of doing things better and more productive and solicit feedback.
  • Research other industry comparables, and market trends to propose roadmap trade-offs between parity and innovation.
  • Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis.
  • Define and measure KPIs to track adoption, performance, and user behavior of platform administration and search capabilities.
  • Develop and validate new concept prototypes.
  • Lead product requirements definition and ensure timely delivery of valuable experiences.
  • Manage area roadmap and work with stakeholders to prioritize initiatives and overall goals with your team.
  • Decompose complex use cases and technical requirements into smaller manageable stories by creating and prioritizing a backlog with your engineering team.
  • Assess roadmap / backlog trade-offs, make recommendations informed by stakeholder and technical constraints, and deliver innovation with this in mind.
Desired Qualifications
  • Experience in BioPharma, in the research, development, or manufacturing areas
  • Evolve the platform capabilities for deployment, management, inference, observability, and evaluation of customer’s, partner’s, and TetraScience’s ML / AI models.
  • Experience with AI-powered search and retrieval, data governance systems.

TetraScience provides a cloud-based platform called the Scientific Data Cloud, which is designed for managing scientific data in the life sciences sector. This platform helps clients in research and development, quality assurance, and manufacturing to collect, centralize, and harmonize their data, making it ready for artificial intelligence and machine learning applications. TetraScience primarily serves biopharmaceutical companies that deal with large volumes of scientific data. The platform connects various lab instruments, informatics software, and data applications, allowing for efficient data management that can reduce task completion times from hours to seconds. Unlike its competitors, TetraScience offers a vendor-neutral, open, cloud-native solution that works with any lab equipment or software, providing flexibility for users. The company's goal is to enhance scientific outcomes by streamlining data management processes.

Company Size

51-200

Company Stage

Series B

Total Funding

$117M

Headquarters

Boston, Massachusetts

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-ready scientific data solutions in the biopharma industry.
  • Strategic partnerships with Microsoft, Google, and Databricks enhance computational power and AI capabilities.
  • Expansion of AI-native datasets supports next-generation lab data management and scientific use cases.

What critics are saying

  • Increased competition from major tech companies investing in AI and cloud solutions.
  • Reliance on strategic partnerships poses risks if these partnerships dissolve.
  • Complexity and cost of integration with existing systems may deter potential clients.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
  • The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
  • TetraScience's Scientific Data Cloud centralizes and harmonizes data for AI/ML applications.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

-1%

2 year growth

3%
BioSpace
Jan 16th, 2025
TetraScience Collaborates with Microsoft To Advance Scientific AI at Scale

TetraScience collaborates with Microsoft to advance Scientific AI at scale.

Hit Consultant
Jan 16th, 2025
Tetrascience & Microsoft Partner To Advance Scientific Ai In Biopharma

What You Should Know: – TetraScience, a provider of scientific data cloud solutions announced a strategic collaboration with Microsoft to accelerate the adoption of artificial intelligence (AI) in the biopharmaceutical industry. – The strategic partnership combines TetraScience’s Scientific Data and AI Cloud with the power and security of Microsoft Azure, creating a robust platform for scientific organizations to extract valuable insights from their complex experimental data.Explosion of Scientific Data ChallengesThe biopharmaceutical industry is facing a critical challenge: the explosion of scientific data. While AI holds immense promise for accelerating drug discovery and development, much of this data remains trapped in proprietary formats and scattered across disparate systems. This hinders the effective training and deployment of AI models, limiting the potential for breakthroughs.Harmonizing Scientific Data and Empowering AI WorkflowsThe TetraScience and Microsoft collaboration addresses this challenge head-on. By providing a comprehensive solution that encompasses massive computational power, advanced AI models, sophisticated scientific data ontologies, and deep scientific expertise, the partnership empowers organizations to overcome data silos and unlock the full potential of AI.TetraScience’s Scientific Data and AI Cloud is purpose-built to replatform and engineer scientific data into powerful data models and domain-specific use cases. This harmonizes data from hundreds of scientific instruments and vendor formats, ensuring that experimental context is preserved for multimodal analytics and AI model training.Microsoft Azure provides the enterprise-grade infrastructure and computational backbone for demanding scientific workloads, including real-time analytics and large-scale AI applications. This ensures that researchers have the resources they need to train and deploy sophisticated AI models.Preliminary Collaboration ResultsThis collaboration is already delivering tangible results

NVIDIA
Nov 13th, 2024
Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms

At AI Summit Japan, TetraScience, a company that engineers AI-native scientific datasets, announced a collaboration with NVIDIA to industrialize the production of scientific AI use cases to accelerate and improve workflows across the life sciences value chain.

Business Wire
May 20th, 2024
Accelerating The Scientific Ai Revolution: Tetrascience And Databricks Join Forces To Transform Scientific Research, Development, Manufacturing, And Quality Control In Life Sciences

BOSTON SAN FRANCISCO--(BUSINESS WIRE)--TetraScience and Databricks today announced a strategic partnership dedicated to helping life sciences organizations harness Scientific AI to bring more effective and safer therapies to market faster and less expensively. The life sciences industry is racing to unlock data intelligence and harness the value of AI. Companies want to use their massive data sets and ever-cheaper computational resources but are blocked by more than 10 million silos of unstructured and vendor-specific proprietary data, which inhibit AI. This partnership rapidly accelerates the Scientific AI revolution by re-platforming and engineering this data to enable the large-scale production of AI-native scientific data across the entire value chain, supporting a growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes

Business Wire
Apr 16th, 2024
Tetrascience Partners With Google Cloud To Catalyze Scientific Ai Innovation

BOSTON--(BUSINESS WIRE)--TetraScience, the Scientific Data and AI Cloud company, today announced a strategic partnership with Google Cloud at the Bio-IT World Conference Expo to speed up drug development and other scientific discoveries. By bringing the Tetra Scientific Data and AI Cloud together with Google Cloud’s infrastructure and AI technologies, the two companies will help empower the life science industry to harness Scientific AI to generate insights much more quickly. This, in turn, will lead to accelerated and improved research, development, and quality-control processes for advanced therapies. “Scientific AI holds extraordinary potential to accelerate and improve science by delivering new capabilities to all key stakeholders - scientists, data and AI teams, and scientific IT,” said Patrick Grady, CEO and chairman of TetraScience. “Together, TetraScience and Google Cloud provide the sophisticated design and industrialization of AI-native scientific datasets and advanced AI technologies to deliver on this unprecedented opportunity.”. The Tetra Scientific Data and AI Cloud shatters the industry-wide data silo paradigm and uniquely centralizes, designs, and industrializes the production of large-scale and liquid AI-native scientific datasets