Staff Product Manager
New
P
PhaidraIndustrial AI / Automation
Remote - US/Canada (Eastern or Central Time), Eastern or Central TimeFull-TimeStaff
SalaryUS Residents (Tier 1-4): 150,280 USD - 243,100 USD; Canada Residents (Tier 1-4): 136,346 CAD - 255,648 CAD
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Job Details
- Experience
- 8+ years
- Required Skills
- Cross-functional Team Leadership
Requirements
- 8+ years of technical product management experience, including leading large, complex, cross-functional initiatives.
- Experience taking a product from point solution toward platform or contributing to a platform, integration, or data-surface product.
- Deep expertise in prioritization frameworks and product decision-making under uncertainty.
- Strong technical acumen, including system architecture, integrations/APIs, and data platforms.
- Proven ability to influence at all levels and align teams on strategy.
- Experience mentoring and developing other product managers.
- Excellent communication skills, including ability to explain complex ideas from floor to boardroom level.
- Ability to work effectively in an all-remote setting.
- Shares company values: Collaboration, Transparency, Operational Excellence, Ownership, & Empathy.
- Must reside in Eastern or Central time zones (US or Canada).
Responsibilities
- Develop and drive the product strategy and roadmap that establishes Prism as the agentic operating platform for the data center.
- Translate platform vision into a sequenced, fundable roadmap and drive it to delivery across cross-functional teams.
- Visit and join calls with customers to gather unfiltered feedback and observe Prism in production.
- Translate floor-level customer pain into clear, high-quality product requirements.
- Lead the delivery of key integrations to connect new systems into the Prism platform.
- Support the expansion of Prism’s user base and partner with go-to-market and Finance on packaging and pricing.
- Establish prioritization and discovery frameworks and coach/mentor other product managers.
- Own metrics defining success, including adoption across systems and progress along the insight-to-autonomy axis.
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