Product Manager — AI-Driven Hardware Data Review

Nominal, Inc; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Unlimited PTO

Free lunch, snacks, and coffee

Professional development stipend

Annual company retreat

Job summary

Nominal is seeking a Product Manager to accelerate hardware data review, combining AI analytics, anomaly detection, and root-cause frameworks to deliver a differentiated product for engineers across multiple disciplines.

You will partner with software engineers and designers, turn ambiguous problems into concrete plans, and drive end-to-end delivery from ideation to shipping solutions that scale across hundreds of hardware teams.

Qualifications

• 3–5 years of product management experience.
• Experience shipping at least one 0→1 launch for technical users.
• Ability to turn loosely defined problems into concrete plans.
• Strong collaboration with engineering and design teams.
• Comfort discussing system design, data modeling, and APIs.

Responsibilities

• Ideate and synthesize evidence with customers and stakeholders for investment decisions.
• Collaborate with engineering and design to turn problems into clear requirements and milestones.
• Learn and understand complexities to provide direction that works for engineers and operators.
• Communicate with clarity, producing documents and decks that align stakeholders and demonstrate value.
• Build product systems that generalize across hardware orgs and support scalable adoption.
• Ship product solutions that accelerate hardware testing and development.

Skills

Product ownership

Cross-functional collaboration

Technical intuition

AI-native thinking

Job description

Nominal is seeking a Product Manager to accelerate hardware data review, combining AI analytics, anomaly detection, and root-cause frameworks to deliver a differentiated product for engineers across multiple disciplines.

You will partner with software engineers and designers, turn ambiguous problems into concrete plans, and drive end-to-end delivery from ideation to shipping solutions that scale across hundreds of hardware teams.