Consequential builds for practitioners who own their work.

Common Works builds with a curated mix of full-time team members and a Talent Network of engineers, product leaders, and operators. You embed in real businesses, work alongside management, and ship the systems and products that move EBITDA.

For practitioners who take outcomes seriously.

The best practitioners don’t want bench time or fabricated urgency; they want hard problems with real stakes. Every Common Works engagement is that: embedded inside a business, working alongside operators who are accountable for results.

You work with people who’ve done this at serious firms, on real problems. The team is curated and the work is selective, because the only thing that matters is what gets shipped and what it’s worth.

Capable

We take the work seriously. Every engagement is a chance to demonstrate that applied AI creates real, measurable business value, not a chance to produce deliverables that look good in a deck.

Practical

We ship. Clarity over cleverness, working software over architectural elegance, outcomes over process. The measure of a good engagement is what remains and what it’s worth.

Collaborative

We work alongside operators, not above them. The best outcomes come from people who listen well, communicate clearly, and earn trust inside the businesses they’re embedded in.

Open roles

Engineering

Forward-Deployed Engineer

NY / Remote

Data & AI Solutions Architect

NY / Remote

AI / ML Engineer

NY / Remote

Data Engineer

NY / Remote
Advisory & Delivery

Forward-Deployed Product Manager

NY / Remote

Client Engagement Manager

NY / Remote

AI Value Creation Consultant

NY / Remote

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Forward-Deployed Product Manager

NY / Remote

Design AI-powered products for businesses that didn’t start with one: internal tools, customer-facing features, or both.

About Common Works

Common Works is an AI-native services firm built for private equity. We work at the intersection of investment diligence and technical delivery, helping PE sponsors and their portfolio companies translate AI from a thesis into operating outcomes: higher EBITDA, better margin, and durable capability inside the business.

Our model isn’t consulting. We are builders who understand how deals work, and deal practitioners who can ship AI transformations. We forward deploy engineers, architects, and operators inside portfolio companies, work alongside management, and are accountable for the outcome.

The Role

Forward-Deployed Product Managers own product vision and strategy inside portfolio company engagements. Depending on the engagement, the work may be internal (replacing or augmenting existing workflows), external (building products for the portfolio company’s own customers), or both. Either way, the discipline is the same: understand a business built before modern AI tools existed, and design software that fits how it actually operates.

This is creative, first-principles product work. You work alongside a Client Engagement Manager and an engineering pod, developing a strong point of view on what to build, making opinionated sequencing decisions, and holding the product direction as engineering executes. There is no existing product team to inherit, no backlog to maintain. You will be judged on what gets shipped and whether it matters.

Key Responsibilities
  • Work with the Client Engagement Manager to understand the engagement context and operating priorities
  • Design AI-powered products suited to the engagement: internal workflow tooling, AI-assisted operations, or external customer-facing products
  • Run discovery with operators and end users to build conviction on what to build and in what order
  • Translate operating goals into a prioritized, executable product roadmap
  • Make and document scope, sequencing, and build-vs-buy decisions with clear rationale
  • Surface delivery risk and priority changes early, with a recommendation on how to respond
Qualifications

Required

  • 5+ years of product management experience, including at least one context where you built product strategy from scratch: no existing team, backlog, or inherited roadmap
  • Experience designing AI-powered products or features: internal tools, customer-facing products, or both
  • A demonstrable track record of 0-to-1 product delivery: you have defined what to build and in what order, not just executed against someone else’s roadmap
  • Background in management consulting, PE operations, or roles inside PE-backed companies, or demonstrated experience managing C-level stakeholders with investment-outcome accountability
  • Clear communication with both operators and engineering teams

Preferred

  • Experience working in or alongside industries with complex legacy operations: industrials, B2B services, consumer, healthcare, or similar
  • Experience delivering on high-stakes engagements with defined deliverables

Join us.

Tell us who you are and what you’ve shipped.

Contact

Work location & eligibility

Country
City / location
  • Talent Network positions require authorization to provide independent-contractor services from your location.
  • Full-time positions require employment authorization.
  • Common Works is not currently able to sponsor visas.

Your application

Upload your resume
PDF or DOCX · drag & drop or browse

By applying you consent to Common Works contacting you about opportunities. Your application, including your resume, is handled as described in our Privacy Policy.