About Albert
Albert helps chemists change the world by building technology that understands how they work. As chemists ourselves, we know what it’s like when software doesn’t work the way you do — stuck with systems built by people who never spent a day at the bench. Backed by Index.
About the role
We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too. We work hard and we play hard. We’re always looking for humble, sharp, and creative folks to join the Albert team. If you think you might be a fit, please apply.
What they're looking for
- Lead the evolution of our datasets to a governed, productized data ecosystem — establishing canonical, single-source-of-truth golden data assets that serve as the foundation for Albert’s 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 bring new data products to market
- Own the full product lifecycle for data products — from discovery and definition through launch, iteration, and ongoing optimization — with clear accountability for adoption, impact, and performance metrics
- Partner with AI, ML, and data engineering teams to define data requirements and shape how systems are built to support product goals, including feeding Albert’s agentic and intelligence layers with data assets
- Define how customers’ own proprietary data can be securely used alongside Albert-managed datasets
- Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination
More about this role
What you'll do
Strategy & Delivery
- Define and own Albert’s data product strategy and roadmap, identifying the highest-value opportunities to transform proprietary datasets into standalone products and embedded capabilities that drive revenue and customer outcomes.
- Lead the evolution of our datasets to a governed, productized data ecosystem — establishing canonical, single-source-of-truth golden data assets that serve as the foundation for Albert’s 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 bring new data products to market.
- Own the full product lifecycle for data products — from discovery and definition through launch, iteration, and ongoing optimization — with clear accountability for adoption, impact, and performance metrics.
Execution & Collaboration
- 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,...
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