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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  • Full-time positions require employment authorization.
  • Common Works is not currently able to sponsor visas.

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Forward-Deployed Engineer

NY / Remote

Embed inside a portfolio company, work alongside operators, and ship AI products and workflows end-to-end.

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 Engineers are the primary delivery unit at Common Works. You embed inside a PE-backed portfolio company and own the build of AI products, workflows, and internal systems that the investment thesis depends on. You work directly with operators, leadership, and sometimes boards. You are not a vendor; you are a temporary member of the team with full accountability to shipped outcomes.

The role requires comfort operating without a clear spec. You will run discovery, develop a point of view on architecture and priorities, and ship, often within the same engagement. Strong technical judgment and clear executive communication are both required; you will use both in the same week.

Key Responsibilities
  • Embed inside portfolio companies and translate operating problems into shipped software, without waiting for a complete spec
  • Run technical discovery and rapidly develop architecture and priority recommendations grounded in business context
  • Build AI-powered products, agentic workflows, and internal tooling from prototype through production
  • Manage the technical relationship with operators and executives throughout the engagement
  • Maintain delivery pace while holding a high bar on code quality, reliability, and handoff readiness
Qualifications

Required

  • 5+ years of software engineering experience with demonstrable recent production delivery: full ownership across product surfaces, integrations, and infrastructure, not just a single tier
  • Practical experience building LLM-integrated systems in production: not demos, but shipped products used by real operators
  • Hands-on experience with agentic orchestration, RAG pipelines, and evaluation practices for LLM systems in production
  • Proven ability to run discovery and develop architecture and priority recommendations before a spec exists, not just execute against one
  • Strong communication skills: you can present technical decisions to non-technical stakeholders in a clear manner

Preferred

  • Experience in PE-backed or consulting-adjacent environments
  • Background in industries common to PE portfolios: industrials, B2B services, consumer, healthcare, or fintech
  • Prior experience on multi-month embedded 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.