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Albert Invent

Cloud-based R&D platform with AI tooling

Director of Data Products

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeOakland, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 8 years of product management experience, including meaningful time building and scaling data products in enterprise SaaS or vertical-industry environments.
  • A proven track record of turning raw data assets into differentiated products or revenue-generating capabilities.
  • Deep understanding of modern data ecosystems, including pipelines, architectures, ingestion, transformation, harmonization, and governance, with sufficient technical depth to partner credibly with data and engineering teams.
  • Experience managing third-party data licensing, supplier relationships, and partnerships.
  • Ability to translate technical complexity into clear product direction and business value, supported by strong user research instincts.
  • Ability to define monetization models and drive commercial outcomes from data products.
  • Comfort owning an ambiguous, nascent capability area, discovering current assets, presenting a compelling vision, and building from the ground up.
  • Ability to balance product vision with operational rigor and ensure data pipelines are reliable, scalable, and production-grade.
  • Ability to engage technical and non-technical audiences through written and verbal communication.
  • Ability to work collaboratively across teams and time zones.
  • Ability to visualize connections among data assets, pipelines, products, and platforms, and design ecosystems that create compounding organizational value.
  • Ability to persistently solve problems and build from the ground up in ambiguous, high-stakes environments with limited precedent.
  • Ability to define a functional area's direction, align cross-functional stakeholders, and drive initiatives to completion through influence rather than authority.
  • Ability to identify data monetization opportunities, design novel product experiences, and stay current with industry trends.
  • Ability to adapt in a dynamic product and company environment where priorities and new information may change the path forward.
  • Ability to understand customer work and needs and translate user and market insight into clear, rigorous product decisions.

Responsibilities

  • Define and own the data product strategy and roadmap, identifying high-value opportunities to transform proprietary datasets into standalone products and embedded capabilities that drive revenue and customer outcomes.
  • Lead the evolution of datasets into a governed, productized data ecosystem, establishing canonical, single-source-of-truth golden data assets that underpin AI and workflow products.
  • Define monetization models for data products, partnering with go-to-market teams to identify target customer segments, craft value propositions, and launch new data products.
  • Own the full data-product lifecycle, from discovery and definition through launch, iteration, and ongoing optimization, with accountability for adoption, impact, and performance metrics.
  • Own and evolve the data pipeline function, including sourcing, aggregation, ingestion, cleaning, and harmonization of global data sources, partnering with Platform Engineering and Data Architecture to ensure reliability, scalability, and enterprise-grade data quality.
  • Partner with AI, machine learning, and data engineering teams to define data requirements and shape systems to support product goals, including providing data assets to the company's agentic and intelligence layers.
  • Manage external data supplier and partnership relationships, including premium data providers, data scraping services, and licensing agreements; evaluate, negotiate, and integrate third-party sources to expand and enrich proprietary datasets.
  • Define how customers' proprietary data can be securely used alongside company-managed datasets.
  • Serve as the company-wide authority on data products, shaping executive-level decisions on data strategy, influencing adjacent product teams, and ensuring cross-functional alignment among data, product, and commercial priorities.
  • Engage directly with customers to surface unmet needs and translate insights into product features, enhancements, and roadmap priorities; represent the company at industry conferences and client meetings as a data-driven research and development thought leader.
  • Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination.

About the Company

Albert Invent

Cloud-based R&D platform with AI tooling

Albert Invent provides a cloud-based, end-to-end R&D platform for chemistry and materials science. It unifies formulation and experimentation tools with AI/ML for data-driven insights, automated inventory management, and regulatory compliance, all accessible as a subscription service. The platform connects lab systems, enabling real-time visibility, on-demand reporting, and better collaboration to reduce experiment iterations and allocate resources efficiently. Unlike other tools that cover only parts of R&D, Albert Invent offers an integrated, global solution that spans technicians, engineers, and managers in academic and commercial labs, helping teams bring products to market faster and with sustainable practices. The company's goal is to accelerate innovation and speed to market by improving productivity, collaboration, and data-driven decision making across the R&D workflow.

Company size
51-200
Company stage
Series B
Total funding
$105M
Headquarters
Oakland, CA
Founded
2022

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