Who We Are
TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. For more information, please visit tetrascience.com.
Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

• Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
• Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
• Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face - and we embrace uncertainty and take calculated risks.
• Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world's most important scientific innovations.
• Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
• Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity's diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

Who You Are
You thrive on working well with others. You make the people around you better. You love to collaborate with fellow product managers, designers, user researchers, engineers, executives, and inspire them to do their best.
You relentlessly strive to excel in your craft. You look at user story, functional and interaction design, product configuration and extension, sales play and demo, competitive analysis, marketplace partners, and more as tools in the Product Manager's essential toolkit. You intuitively know how technology, business requirements and product design come together to deliver innovation that delights.
You consistently seek understanding and clarity. You look at every interaction as an opportunity to learn. You aren't afraid to ask questions. You have the humility and confidence to not be the smartest person in the room.
What You Will Do
In this role you will lead the product effort for Tetra Data Platform's focus on the scientific data analysts and data engineers personae and their main objectives of enabling end scientific outcomes through building data processing to transform scientific data (experiment context and design, instrument outputs, analysis results, collaboration data with CROs & CDMOs) and use for analytics. You will work closely with our engineering teams and architects to guide the strategy which adapts our platform to new architecture paradigms to be able to transform data for data engineers and analysts to discover datasets / schemas, use in development of pipelines or dashboard, explore via SQL, etc. This is a highly visible role that will interact with executives, cross organizationally, and with our customers. The ideal candidate has strong technical depth supporting modern cloud data processing and analytics at scale for multiple enterprise SaaS customers.

• Own areas related to Data Analysis and Data Engineering for Tetra Data Platform, including subset of Tetra Data created for specific scientific data
• Working closely with customers, TetraScience teams to design product features that are targeted to make transforming and consuming schematized data easier for data engineers and data analysts via various access points such as SDK, APIs, SQL.
• Identify new opportunities through product discovery techniques like research, internal customer interviews, and process mapping.
• Build relationships with customers; understand customer's processes and objectives; and introduce new ways of doing things better and more productive and solicit feedback
• Research competition and market trends and 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
• Develop and validate new concept prototypes.
• Lead product requirements definition and ensure timely delivery of valuable experiences.
• Deliver customer-facing interfaces (UI, SQL interface, and APIs) by producing detailed definitions of their benefits, use cases, documentation, and design.
• 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.

Requirements

• 5 years in software product management
• 5 years as a technical product manager
• Prior experience with enterprise SaaS customers, preferably in BioPharma industry
• Proficient in data architecture design including modeling, schema management, , storage, and query access patterns
• Proficient in with Data orchestration platforms, execution engines, such as Airflow, DataBricks, etc.
• Experience with SQL or other query language
• UI/UX functional design
• Public API design
• Bachelors or Masters degree in management, business, computer science or other equivalent.
• Experience in Life Sciences or having worked in a lab environment is a big plus!

Benefits

• 100% employer paid benefits for all eligible employees and immediately 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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