Product Management Lead Consultant (Remote, US)

(This position is US based remote)

 

 

In the past few years, private equity investors have invested more than a trillion dollars in software and tech-enabled companies. And in many cases, the underlying tech is the greatest enabler to the business strategy. But has the approach to govern technology value creation caught up to the magnitude of the risk?

 

We believe a better way is possible – a more programmatic, proactive approach to actively manage technology throughout the investment lifecycle – and that’s what we do.

 

 

We know that technology can create truly transformative change, and its role in business is only growing. Crosslake is here to support the changemakers and help them buy, build and run better technology.

 

 

You could be a good fit for Crosslake if you see yourself reflected in our guiding values:

 

Service. We effect change by empowering others.

Curiosity. We believe great advice starts with deep understanding.

Credibility. Our expertise is earned and proven.

Commitment. It’s our privilege to serve clients in their critical moments.

Creativity. We are inspired by the constant pursuit of better.

 

This is a role for a senior product leader who wants to apply deep expertise at the intersection of product strategy, AI, product commercial success and private equity ownership.

As a Product Management Lead Consultant, you will bring your product expertise to bear on the most consequential questions facing investors today: Is this product defensible? Is the AI strategy credible? Can this team execute? Where is the real growth opportunity?

You will work directly with investment teams helping them understand investment risks, and what it will take to realize the upside. Engagements move quickly, the companies are diverse, and the work demands both analytical precision and strategic judgment.

 

Lead and contribute to product assessments for investment firms and portfolio companies across the full investment lifecycle. From pre-close diligence through post-close value creation and exit preparation.

 

Evaluate the strength, credibility, and competitive defensibility of a target company's product strategy, roadmap, and go-to-market approach.

 

Assess how AI and machine learning are embedded in a company's product distinguishing genuine capability from surface-level positioning, and articulate the implications for competitive advantage, risk, and value creation.

 

Analyze product-market fit, customer segmentation, expansion opportunity, and the assumptions underlying growth projections.

 

Review product team structure, delivery capability, execution track record, and organizational readiness for growth

 

Conduct primary research including executive interviews, customer discovery conversations, and expert network engagements.

 

Synthesize findings from documentation, market research, and interviews into structured, investment-grade deliverables.

 

Communicate complex product and market dynamics clearly and concisely to deal teams, investment committees, and company leadership.

 

Advise portfolio company product leaders on strategy, prioritization, and capability development post-close

 

AI is no longer a feature, it is rapidly becoming the central axis of competitive advantage and disruption risk in B2B software. We are specifically looking for practitioners who have shipped AI-powered products or built AI strategy at the product leadership level, and who can evaluate the credibility, maturity, and risk surface of another company's AI approach with firsthand authority. The ability to distinguish genuine AI differentiation from vendor-dependency or marketing narrative is a core skill for this role.

 

This role is not for everyone and that's intentional. The practitioners who do their best work here tend to share a few things in common:

They've operated at a level where they were responsible for outcomes, not just recommendations, and that accountability shows in how they think and communicate

They are genuinely curious about businesses they've never seen before, and energized by the challenge of forming a credible view quickly

They can hold strategic and operational thinking simultaneously understanding both the "what" and the "how hard"

They've wrestled with AI in product contexts firsthand, and can bring that lived experience to bear on someone else's AI strategy with real authority

They communicate with precision and confidence, and they know the difference between a finding and an opinion