Technical Product Manager - Data Pipelines Product Owner

TetraScience is the Scientific Data Cloud company with a mission to accelerate scientific discovery and improve and extend human life. The Scientific Data Cloud is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high performance team members that authentically and unconditionally embrace our values:

• Transparency and Context - We trust our people will make the right decisions and overcome any challenges when openly and proactively sharing all vital data.
• Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
• Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.
• Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
• Commitment to Craft - We are professional in all we do. We sweat the details, as the small things enable the big things.
• Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents and advantages.

What You Will Do

As technical product manager / product owner you will own the product design and strategy for our ETL and data pipelines. This will be a key role that will drive the continuous maturity of the data ingestion and processing layers of our platform. You will work collaboratively with our data engineering team to ensure alignment on product development and execution. This is a highly visible role that will interact with executives, cross organizationally, and with our customers. The ideal candidate has strong technical depth building modern cloud data platforms at scale.

• Own our primary user’s (Scientific Data Engineer) application experience by working closely with customers, product managers, UX designers, and software engineering teams to design product features that are targeted to make scientific data collection, processing, monitoring and analysis easier.
• Dive deep into our Tetra Data Platform to lead product requirements definition and delivery with scrum teams.
• Work with leadership, customer consulting, engineering, and system architects to capture use cases and feature requests and to organize them into prioritized user stories with reliable acceptance criteria.
• Translate customer use cases and feature requests to technical requirements for various components of the Tetra Data Platform.
• Decompose complex use cases and technical requirements into smaller manageable tasks by creating and prioritizing a backlog for your engineering team.
• Own and deliver customer facing interfaces (UX and APIs) by producing detailed definitions of their use cases, technical requirements, documentation, and design.
• Partner closely with your partners in engineering to take your vision and ideas and turn them into reality.
• Be comfortable working with a globally dispersed team, in various time zones.
• You will learn, grow, and be challenged. You will speak up and represent your position amongst peers and leadership, while remaining resilient and open to constructive feedback.
• You will sometimes make tough compromises, or find things take longer than you want them to, or need to work extra hard to convince a colleague of your position.

Requirements

Must Have

• 5+ years experience as a product owner with designing data engineering software for ETL applications.
• 2+ years as a technical product manager
• Strong technical architecture understanding of scaling cloud native solutions for distributed data processing and orchestration for data pipes.
• Experienced in functional data architecture design including ingestion, storage and processing of data in a multi-tenant cloud SaaS product.
• Experienced with micro-service, serverless, and container based architecture.
• Experience with UI/UX functional design and public API design.
• Ability to communicate customer use cases, feature design, technical requirements, and technical architecture with excellent verbal, written, and presentation skills
• Bachelors or Masters degree in computer science or other equivalent experience with design software solutions.

Nice to Have

• Experience in Life Sciences lab instrument data is a big plus!
• Experience in designing solutions for ingesting and processing data from a wide variety of remote files or on-premises (IoT) devices and making that data available for analytics.

Benefits

• 100% employer paid benefits for all eligible employees and immediate family members.
• 401K.
• Unlimited paid time off (PTO).
• Flexible working arrangements.
• Company paid Life Insurance, LTD/STD.

No visa sponsorship is available for this position.

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