Product Manager & Solutions Consultant New Ashburn, VA

PADO AI Orchestration, Inc.

Ashburn (VA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Equity
Competitive salary
Hybrid work model

Job summary

PADO AI Orchestration, Inc. seeks a strategic and technical product manager to bridge business goals with engineering execution. You will own the full product lifecycle from opportunity identification to feature launch, thriving in fast-paced, ambiguous environments.

Lead roadmap, drive ROI discussions, and align teams across engineering, UX/UI, marketing, and sales to deliver high-impact data-center and AI-powered solutions.

Qualifications

  • 4–10+ years of experience in product management, particularly with complex technical data products.
  • Strong understanding of data center infrastructure (servers, UPS, cooling), power systems, or AI/ML frameworks.
  • Proven track record of taking products from concept to launch using product management frameworks and Agile practices.
  • Excellent written and verbal communication, with the ability to influence multiple stakeholders.

Responsibilities

  • Define and execute a long-term product roadmap with executive buy-in and engineering backing.
  • Lead discovery sessions with sales and build ROI/TCO arguments related to PUE and OpEx savings.
  • Manage deployments across on‑prem and cloud environments interfacing with DCIM, BMS, and workload scheduling layers.
  • Collaborate with engineering, UX/UI, marketing, sales, and data science to ensure intuitive features and remove roadblocks.

Skills

Product management
Agile methodologies
Data center infrastructure
AI/ML frameworks

Tools

Jira

Job description

PADO AI Orchestration, Inc., a groundbreaking new venture backed by LG NOVA, is revolutionizing energy management for the modern data center. Pado is led by a team of serial and tech entrepreneurs, with over 60+ years of experience in the energy and AI space. We leverage proprietary AI and ML to empower data centers to optimize power consumption, enhance resilience, and significantly improve operational efficiency. As the demand for AI-driven compute power escalates, data centers face unprecedented energy challenges. PADO offers the intelligent orchestration needed to navigate this complex landscape.

PADO is backed by LG NOVA, the Silicon Valley-based North American innovation division of LG Electronics.

PADO is searching for a strategic and technical product manager to act as the bridge between business goals and engineering execution. As PM you will own the entire product lifecycle—from identifying market opportunities and defining vision to launching and iterating on features. We are looking for a "builder" who thrives in fast-paced, ambiguous environments, blending commercial acumen with a deep understanding of how software and hardware systems interact.

Responsibilities:

Product Vision & Strategy: Define and execute a long-term roadmap that has buy-in from the executive team and the backing of the engineering team. Keep the roadmap organized in jira with clear prioritization and status.

Technical Sales & ROI: Partner with sales to lead discovery sessions and build credible ROI/TCO arguments tied to PUE, stranded compute, and OpEx savings.

Delivering & measuring Outcomes: Manage and Measure deployments across on-prem and cloud environments, interfacing with DCIM, BMS, and workload scheduling layers.

Be the Glue: Partner closely with engineering, UX/UI, marketing, sales, and data science teams to ensure features are logical and intuitive. Participate in scrums, sprint planning, and be ready to remove roadblocks across the spectrum to deliver products as fast as possible.

Market & Customer Research: Lead voice-of-the-customer (VOC) efforts and competitive analysis to identify gaps and new investment opportunities. Be the customer representative and advocate internally to ensure the full team understands client needs and delighters.

Execution & Delivery: Ensure that products and features can be delivered with high quality and speed. Be the face of PADO to clients, deliver products to clients and act as a forward deployed PM/engineer as necessary.

Data-Driven Decision Making: Track success metrics (KPIs) such as adoption, revenue, and task success to inform future product iterations.

Minimum Qualifications:

Professional Experience: 4–10+ years of experience in product management, particularly with complex technical data products.

Technical Domain Expertise: Strong understanding of data center infrastructure (servers, UPS, cooling), power systems (three-phase power, redundancy), or AI/ML frameworks.

Product Methodology: Proven track record of taking products from concept to launch using product management frameworks and Agile practices.

Analytical Skills: Ability to use data and experimentation (such as A/B testing) to drive product adoption and business decisions.

Communication Skills: Exceptional written and verbal skills, with the ability to articulate technical concepts to both engineers and C-suite stakeholders.

Mindset: A curiosity-driven "builder" mentality with comfort in fast-moving, ambiguous environments.

Stakeholder Influence: Proven ability to influence cross-functional teams and diverse stakeholders without direct authority.

Why Join PADO?

  • Be a part of a pioneering venture backed by LG NOVA, at the forefront of AI-driven energy innovation.
  • Address the critical energy challenges facing the rapidly expanding data center industry.
  • Work with cutting-edge AI/ML technology designed to deliver tangible ROI and operational improvements.
  • Opportunity to significantly impact the company's growth and success.
  • Collaborate with a passionate and supportive team.
  • Competitive compensation package (salary, equity and benefits).

PADO AI Orchestration, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Do you live in West Virginia or are you willing to relocate? This position is hybrid and requires 2 days in office per week.

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