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Phaidra

AI-driven control systems for industrial facilities

Staff Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of technical product management experience, including leading large, complex, cross-functional initiatives.
  • Comfort spending significant time directly with customers or end users and treating that time as core product work.
  • A track record of helping take a product from point solution toward platform, or contributing to a platform, integration, or data-surface product.
  • Ability to translate customer needs into strategic product direction and sequence an ambitious vision into fundable steps.
  • Deep expertise in prioritization frameworks and product decision-making under uncertainty.
  • Strong technical acumen, including system architecture, integrations and application programming interfaces, and data platforms.
  • Ability to influence at all levels, including leadership, and align teams on strategy, decisions, and trade-offs.
  • Experience mentoring and developing other product managers.
  • Ability to explain complex ideas to audiences from the floor to the boardroom in an all-remote setting.
  • Alignment with Phaidra's values: Agency, Velocity, Craft, and Truth.

Responsibilities

  • Partner with the Chief Product Officer to develop and drive the product strategy and roadmap that establishes Prism as the agentic operating platform for the data center, spanning diagnostics, triage, and the broader intelligence layer operators and executives depend on.
  • Translate the platform vision into a sequenced, fundable roadmap and drive it to delivery across teams with the Chief Product Officer.
  • Regularly visit customers and join calls to see Prism in production and hear direct feedback.
  • Translate floor-level customer pain into clear, high-quality product requirements and keep teams close to real operator context.
  • Drive expansion by connecting more of the data center’s operational and business systems and advancing insight and recommendations and supervised and autonomous control offerings.
  • Lead delivery of key integrations that connect new systems into Prism and close the loop from detection to diagnosis to action.
  • Partner with Engineering and Design to sequence and ship platform capabilities that make broader, safer autonomy possible.
  • Support expansion of Prism’s user base beyond the operations floor to new personas and buyers, including facilities and infrastructure leadership at hyperscale and neocloud operators; partner with go-to-market and Finance on packaging and pricing.
  • Establish frameworks for prioritization, discovery, and risk mitigation; build product artifacts; coach and mentor other product managers; and raise the standard for product practice across the team.
  • Own success metrics, including adoption across new systems and personas, progress along the insight-to-autonomy axis, and expansion revenue, and use them to guide prioritization and roadmap trade-offs.
  • Understand the product architecture deeply and participate actively in technical planning so strategy remains grounded in platform capabilities.
  • Communicate strategy, decisions, and trade-offs clearly to align teams.
  • During the first 30 days, complete onboarding; learn Prism, the strategy, and the end-to-end customer installation process; spend time with operators observing floor-level pain and current diagnostics and triage workflows; understand the customer base and major pain points; and understand partners across Engineering, Design, Sales, and Leadership.
  • During the first 60 days, develop and pressure-test a point of view on roadmap sequencing with the Chief Product Officer, Engineering, and Design; take ownership of an early, high-leverage integration or capability from requirements through delivery planning; join multiple live customer implementation and support calls; and build cross-team relationships.
  • During the first 90 days, partner with the Chief Product Officer to publish a sequenced roadmap with clear near-term moves; speak directly with at least two major customer accounts to inform roadmap and direction; deliver the high-leverage integration or expanded capability to a live customer deployment; and contribute to an initial pricing or packaging experiment with a friendly account.

Desired Qualifications

  • Domain experience in data centers, critical infrastructure, industrial systems, or energy systems.
  • Experience with forward-deployed or services-led motions and turning them into platform revenue.
  • Familiarity with operational systems such as building management systems (BMS), electrical power monitoring systems (EPMS), computerized maintenance management systems (CMMS), data center infrastructure management (DCIM), or IT service management (ITSM).
  • Experience productizing agentic artificial intelligence or autonomous/closed-loop control.
  • Experience designing layered or usage-based business-to-business pricing and familiarity with business-to-business sales and go-to-market.
  • Startup or high-growth experience with distributed or global teams.

About the Company

Phaidra

AI-driven control systems for industrial facilities

Phaidra develops AI-powered virtual plant operators that help operations teams manage mission-critical facilities, focusing on stability, energy efficiency, and sustainability. The system uses self-learning control that automatically adapts cooling, heating, and energy systems based on facility data, instead of static hard-coded controls. It differentiates itself with deep AI/ML expertise and practical know-how from Trane/Johnson Controls, plus demonstrated results like 40% energy savings at Google's data centers. The goal is to reduce energy consumption, improve resiliency, and deliver ongoing value across data centers, pharmaceuticals, and district energy by deploying and maintaining AI-driven control systems.

Company size
51-200
Company stage
Series B
Total funding
$92.5M
Headquarters
Seattle, WA
Founded
2019

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