8 часов назад
Senior Product Manager (Analysis Ready Data)
142 800 - 178 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Analysis Ready Data): Developing and launching satellite imagery products including Mosaics, Analysis Ready Planetscope, and Fusion with an accent on customer requirements, product metrics, and geospatial analytics. Focus on validating product-market fit, prototyping AI-powered customer solutions, and translating remote sensing use cases into scalable data products.
Location: Hybrid; work from the San Francisco or Arlington office 3 days per week.
Salary: $142,800–$178,500 USD annual base salary for US locations.
Company
designs, builds, and operates a large constellation of imaging satellites and delivers satellite imagery and data through a cloud-based platform.
What you will do
- Support the development and go-to-market execution of Analysis Ready Data products, including Mosaics, Analysis Ready scope, and Fusion.
- Document product requirements, synthesize customer feedback, and support sprint planning and delivery tracking with engineering.
- Build and maintain product metric dashboards with the data team, including time-to-activation and retention metrics.
- Run early-access programs and work with pre-sales, sales, customer success, and customers to validate product-market fit and product-customer fit.
- Prototype customer-facing solutions using AI tools and help customers realize value from geospatial data products.
- Contribute to product strategy and foundational data products for AI-native solutions.
Requirements
- 6+ years of experience in product management, technical program management, or a closely related role.
- Comfort with software development concepts and workflows, including direct collaboration with engineering teams.
- Ability to make decisions aligned with the technical and strategic roadmap and organizational values.
- Strong interpersonal and communication skills for building alignment across cross-functional teams.
- Ability to access applicable export-controlled information without additional export licensing, as required under EAR/ITAR regulations.
Nice to have
- Experience with monitoring-focused Earth observation products.
- Background in remote sensing science, image processing, or geospatial data analysis.
- Experience building and scaling core data or imagery products for multiple market segments.
- Experience working with technical customers and understanding imagery and remote sensing use cases.
Culture & Benefits
- People-centric culture focused on collaboration, belonging, agile principles, and leadership through influence.
- Medical, dental, and vision plans, plus a Health Savings Account with company contribution.
- Paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
- Home office, phone, and internet reimbursements, plus commuter benefits for office-based employees.
- Tuition reimbursement, LinkedIn Learning access, wellness and employee assistance programs, equity, and paid volunteering time.
Hiring process
- Interviews may be recorded and transcribed using an AI notetaker with candidate consent; opting out does not affect candidacy.
- AI tools are prohibited during live interviews and active assessments unless explicitly permitted or required as an accommodation.
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