TL;DR
Principal Product Manager, Data Innovation (AI): Defining and executing the product strategy for emerging synthetic data and data collaboration products within the research technology (ResTech) domain with an accent on driving product adoption, revenue, and market penetration. Focus on articulating the product vision, managing complex stakeholders, and ensuring cross-functional alignment for successful go-to-market strategies.
Location: Remote
Company
hirify.global is a pioneer in research technology (ResTech) that provides a platform for customers to get answers from real people to build business strategies.
What you will do
- Own and develop a multi-year product vision for hirify.global's Data Innovation portfolio, including synthetic data products and data collaboration solutions.
- Articulate the product strategy, bringing complex customer and technical problems to life.
- Conduct opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives.
- Author comprehensive product requirements and partner with R&D leadership to navigate technical trade-offs.
- Build relationships with stakeholders across R&D, Data Science, Commercial, Legal, and Marketing to ensure alignment and a successful go-to-market.
Requirements
- Proven track record of launching and scaling complex data products, platforms, or services from concept to market.
- Expert in translating customer problems from the ResTech and data space into clear product requirements, backed by data and qualitative insights.
- Direct experience managing the full lifecycle of AI/ML products, including building, training, and fine-tuning models (e.g., LLMs).
- Understanding of the processes used to create, validate, and filter large-scale synthetic datasets and are comfortable discussing the trade-offs of alignment techniques (e.g., SFT, RLHF).
- Exceptional written and verbal communication skills.
Culture & Benefits
- Strategic Impact: Build a new, high-growth business line central to hirify.global's long-term strategy.
- Innovation: Work on the cutting edge of ResTech and data technology, solving novel problems with a world-class R&D team.
- Global Reach: Work in a global company with a distributed, flexible, and collaborative culture.
- Ownership: Have the autonomy and accountability to make a measurable impact on the business.
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