Related skills
saas meteorology ai/ml daas gnss-ro📋 Description
- Define and own the multi-year product strategy and roadmap for Weather SaaS and DaaS.
- Lead cross-functional product development from concept to GA with engineering, data science, and design.
- Apply agile product development methodologies with stage-gate processes for new market entries.
- Integrate GNSS-RO, GNSS-R, and hyperspectral data into end-user products.
- Champion AI tools across PM and software lifecycles to boost velocity.
🎯 Requirements
- 8+ years of progressive product management experience owning commercial weather, meteorological, or atmospheric data products.
- Deep technical expertise in at least three of: NWP, mesoscale meteorology, GNSS-RO atmospheric sounding, AI/ML-based forecasting, radar/satellite data processing, or climate modeling.
- Proven track record delivering SaaS and/or DaaS products in a B2B enterprise environment.
- Experience building business cases with financial models, market sizing, and build/buy/partner analysis.
- Excellent executive communication — written, verbal, and visual.
- Bachelor's degree in Meteorology, Atmospheric Science, Computer Science, Engineering, or related field.
🎁 Benefits
- NYSP program access
- Launch attendance
- Generous time off policy
- Education assistance program
- Employee Stock Purchase Program (ESPP)
- Family leave
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