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About the Role

As a Senior Product Manager, you will lead the evolution of AI products, transforming operator-led problems into scalable, zero-to-one AI solutions. This role involves deep collaboration with operators, executives, engineers, and designers to identify problems, define strategy, drive pilots, and prove product-market fit, ultimately generalizing successful solutions into reusable products across the portfolio.

Responsibilities

Own zero-to-one development of AI-native products from concept through MVP, requirements, roadmap, and success metrics.
Work directly with operators and executives to identify high-leverage problems and define where software creates measurable impact.
Partner with engineering, design, and data teams to rapidly prototype, test, and ship products in real operating environments.
Own implementation end to end, including rollout, adoption, and change management within a customer's existing environment.
Drive customer discovery through interviews, workflow observation, pilot design, and adoption tracking.
Prove product-market fit with one customer, then generalize and reposition the product to scale across other clients, portfolio companies, and markets.
Define success metrics tied to adoption, throughput, cost, reliability, and revenue impact.
Partner with leadership to prioritize the highest-impact opportunities.

Requirements

10+ years in product management or product leadership with meaningful ownership of zero-to-one development.
Hands-on experience taking products into live operating environments, including implementation, rollout, change management, and post-launch iteration.
Deep experience with AI-native products; ML, NLP, and intelligent workflow products.
Strong product judgment: identifying real user pain, defining an MVP, testing adoption, and assessing scalability.
Ability to work directly with engineers, write clear requirements, and drive execution without a heavily structured product organization.
Sharp customer discovery instincts, separating stated needs from true product opportunities.
Commercial and analytical mindset: market size, repeatability, positioning, and using data to evaluate pilots and quantify impact.
Excellent communication skills to align executives, operators, and cross-functional teams.
High ownership, bias toward action, and a low-ego, pragmatic approach in fast-moving ambiguous settings.
Bachelor’s degree minimum.

Skills

AI
ML
NLP
Intelligent workflow products
Product strategy
Product development
Customer discovery
Change management
Data analysis
Communication

Location

New York, NY

Work Type

In-office
Remote flexibility

Experience Level

Senior

Education Level

Bachelor's degree

Salary/Compensations

$200,000 – $250,000

Benefits

$0 deductible and 100% employee-covered health, vision, and dental insurance
401(k) matching program of 50% up to 6% of annual salary
Unlimited PTO
Custom-built office in NYC with daily lunch
Discretionary fund performance bonus

About the Company

At TriEdge Investments, we build world-class technology to drive value creation across a portfolio of 30+ companies.
Our approach is deliberate and staged: we start by delivering bespoke solutions that unlock performance and move EBITDA; we then scale those wins through platform tools that can be deployed across the portfolio; ultimately, we’re building an intelligent platform that redefines how private equity enables value creation at scale.
We are looking for someone who has built new products from the ground up, ideally in AI, ML, automation, or workflow-heavy environments.
You should be comfortable operating in ambiguity, working closely with technical teams, and understanding the realities of implementation, rollout, adoption, and change management inside complex businesses.
Join a team that values clarity, speed, reuse, humility, ownership, and measurable impact.

Equal Opportunity

We are proud to be an equal opportunity employer, and we are committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex, age, national origin, citizenship status, disability, marital status, partnership status, sexual orientation, gender identity and expression, military or veteran status, or any other characteristic protected by federal, state or local law.