/* Common Works — content model. Exposed on window.CW */ const CW = { email: "contact@commonworks.ai", domain: "commonworks.ai", location: "New York, NY", tagline: "A technical operating firm deploying AI across PE sponsors and their portfolios.", hero: { eyebrow: "A technical operating firm for AI value creation across PE sponsors and their portfolios.", headline: "We turn AI from a theme into underwritable value creation.", sub: "We connect diligence and the investment thesis to outcomes, then deploy engineers inside the business to ship the products, workflows, and systems that move EBITDA.", meta: [ { k: "Model", v: "Advisory + embedded build" }, { k: "Buyer", v: "Deal & operating partners, CEOs" }, { k: "Orientation", v: "Private equity native" }, ], }, // The arc — the core distinction arc: [ { stage: "Diligence", verb: "Underwrite", title: "AI Diligence", body: "We evaluate where AI creates opportunity or risk in a target — revenue growth, margin expansion, automation, data moat, competitive threat — and translate it into underwritable judgment for the investment committee.", }, { stage: "Value creation", verb: "Plan", title: "Value Creation Blueprint", body: "Post-close, we turn diligence findings into a sequenced operating plan: where to build vs. buy, what the team can execute, and which initiatives carry the margin and growth the thesis assumed.", }, { stage: "Implementation", verb: "Deploy", title: "Embedded Build Pods", body: "Forward-deployed engineers sit inside the portfolio company, work alongside operators, and ship real products, agentic workflows, and systems — capability that stays after we leave, not a deck.", }, ], // Productized offer lines offers: { preDeal: [ { name: "AI Diligence", desc: "Pre-deal assessment of AI-driven opportunity and risk, prioritized and made underwritable for the IC.", bullets: [ "Revenue growth, margin expansion, automation, data moat, and competitive threat", "Translates findings into underwritable judgment for the deal team and IC", ]}, { name: "Investment Intelligence", desc: "GP enablement and tooling for investor workflows — deal screening, portfolio monitoring, and internal AI capabilities at the firm.", bullets: [ "AI-powered deal sourcing and diligence tools", "Portfolio monitoring and early warning dashboards", "Internal AI capabilities built for the investment team", ]}, ], postClose: [ { name: "Value Creation Blueprint", desc: "An operating plan that ties AI initiatives to the value creation thesis and the 100-day plan.", bullets: [ "Where to build vs. buy, and what the team can actually execute", "Initiatives ranked by impact on EBITDA, margin, and growth", "Tied directly to the 100-day plan and board narrative", ]}, { name: "Embedded Build Pods", desc: "Forward-deployed engineering teams that ship products and workflows inside the business.", bullets: [ "Engineers sit inside the portfolio company alongside operators", "Ship real products, agentic workflows, and internal systems", "Capability that stays after we leave, not slide decks", ]}, { name: "Portfolio AI Opportunity Scan", desc: "A portfolio-wide read on where AI moves revenue, margin, and labor leverage — ranked by conviction.", bullets: [ "Cross-portfolio assessment prioritized by impact", "Revenue, margin expansion, and labor leverage opportunities", "Practical format built for board and IC use", ]}, { name: "Exit Diagnostic", desc: "Stress-tests the asset against next-buyer AI expectations and closes gaps before the process starts.", bullets: [ "Anticipates how buyers will evaluate AI readiness", "Identifies valuation-compressing gaps and closes them before diligence", "Builds a credible AI VCP narrative", ]}, ], }, // Differentiators diff: [ { mark: "—", h: "Private equity native", p: "We understand how deal partners, boards, and CEOs work, and how diligence and underwriting connect to operating outcomes." }, { mark: "—", h: "Thesis to execution", p: "Not decks and frameworks. Engineering is embedded in a model that runs from investment judgment to deployed capability." }, { mark: "—", h: "Builders, not body shops", p: "Hands-on teams who ship code and own outcomes — not generic strategy." }, { mark: "—", h: "Grounded in the P&L", p: "Every recommendation is framed in EBITDA, margin, and growth — the language a deal team and portfolio company already speak." }, ], leadership: [], advisors: [], // Careers careersIntro: { eyebrow: "The network", headline: "Elite engineers and operators who ship inside private equity-backed portfolio companies.", body: "We run on a curated network of forward-deployed talent. You work embedded inside portfolio companies on high-stakes AI builds — real products, real P&L impact, no bench.", points: [ "Independent contractor positions (1099 in US), project-based", "Fully remote, U.S. hours overlap", "Talented, hands-on builders", ], }, about: [ "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 deploy forward — engineers, architects, and operators embed inside portfolio companies, work alongside management, and are accountable to the same outcomes as the investment thesis they're executing against. When the engagement closes, the capability stays. We are builders who understand how deals work, and deal practitioners who can ship AI transformations.", "We run on a curated network of practitioners. All roles are independent contractor positions (1099 in the US). Compensation is project-based with no base salary.", ], careersValues: { eyebrow: "Why join", headline: "For practitioners who take outcomes seriously.", body: [ "Private equity firms and their portfolio companies are under real pressure to act on AI — but some are navigating it without a clear playbook or haven't yet invested in dedicated technical resources. Others have serious expertise and commitment, but need help going even faster.", "Common Works was built for this gap: AI-native practitioners who have worked inside leading private equity sponsors, focused on outcomes that show up in the P&L.", ], values: [ { label: "Capable", body: "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.", }, { label: "Practical", body: "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.", }, { label: "Collaborative", body: "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.", }, ], }, roles: [ { title: "Forward-Deployed Engineer", type: "Project-based", loc: "NY / Remote", blurb: "Embed inside a portfolio company, work alongside operators, and ship AI products and workflows end-to-end.", roleDesc: [ "Forward-Deployed Engineers are the primary delivery unit at Common Works. You embed inside a PE-backed portfolio company — sometimes for weeks, sometimes for months — 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.", ], resp: [ "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", ], 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", ], }, { title: "Forward-Deployed Product Manager", type: "Project-based", loc: "NY / Remote", blurb: "Design AI-powered products for businesses that didn't start with one — internal tools, customer-facing features, or both.", roleDesc: [ "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.", ], resp: [ "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", ], 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", ], }, { title: "Client Engagement Manager", type: "Project-based", loc: "NY / Remote", blurb: "Own the operational delivery of client engagements — keeping scope, timeline, and stakeholders aligned from kickoff to close.", roleDesc: [ "Client Engagement Managers are the operational backbone of Common Works engagements. You own delivery from kickoff through close — coordinating between build pods, portfolio company operators, and PE sponsor stakeholders to keep scope controlled, milestones on track, and communication clear at every level.", "In a model where every deliverable is tied directly to an investment thesis, delivery discipline is not administrative — it is the product. You are not a note-taker. You are the person who holds the engagement together when priorities shift, blockers emerge, and stakeholders need a clear picture of where things stand. The specific challenge of this role: PE sponsor stakeholders, portfolio company operators, and a technical build pod often carry different definitions of success. Surfacing that misalignment early — before it becomes a delivery problem — is core to the job.", ], resp: [ "Own end-to-end delivery operations for active engagements: scope documentation, timeline management, milestone tracking, and risk identification", "Coordinate across build pods, portfolio company operators, and PE sponsor stakeholders", "Run structured engagement cadences — weekly status updates, milestone reviews, and risk escalations", "Identify scope drift, stakeholder misalignment, and delivery risk early; drive resolution before it becomes a problem", "Maintain clear, concise written communication with all stakeholders throughout the engagement lifecycle", "Lead engagement retrospectives and institutional knowledge capture at close", ], required: [ "5+ years of project or program management experience in a consulting, professional services, or technical delivery context", "Proven ability to manage multiple concurrent workstreams under delivery pressure", "Strong written communication — you write crisp update memos and run tight meetings", "Comfort operating with incomplete information and evolving scope", "Experience managing senior client relationships at the C-level, operating partner, or equivalent", ], preferred: [ "Experience managing technical or AI-related delivery engagements", "Background in management consulting, investment banking, or PE portfolio operations", ], }, { title: "AI / ML Engineer", type: "Project-based", loc: "NY / Remote", blurb: "Design and deploy applied AI systems — retrieval, agents, evals — that hold up in production.", roleDesc: [ "AI/ML Engineers at Common Works build and evaluate the applied AI systems that power portfolio company products and workflows. The work is grounded in practical delivery: retrieval pipelines that return the right results, agents that complete tasks reliably, and evaluation frameworks that catch regressions before users do. You are not publishing research — you are shipping systems that operators depend on to do their jobs.", "You own the AI layer of an engagement end-to-end, from data preparation through model integration and production monitoring, working directly with engineers and architects to ensure clean integration into the broader product.", ], resp: [ "Design, build, and evaluate LLM-powered systems: retrieval pipelines, agentic workflows, structured extraction, and classification", "Build evaluation frameworks that measure real system performance against business-relevant metrics — not just benchmark scores", "Own data preparation, chunking, embedding, and indexing pipelines for retrieval and context management", "Make pragmatic decisions on model selection, context architecture, and cost/quality tradeoffs", "Monitor AI systems in production: identify quality degradation, latency issues, and edge case failures before they reach users", "Work with build pod engineers to integrate AI capabilities cleanly into product surfaces and operator workflows", ], required: [ "5+ years of applied AI or ML engineering experience with a focus on production delivery, not research", "Hands-on experience building LLM-powered applications: RAG, structured output extraction, agents, or classifier systems", "Depth in agentic system design: tool use, multi-step reasoning, memory patterns, and failure recovery", "Strong Python proficiency and fluency with the core applied-AI stack — model APIs (OpenAI, Anthropic, Gemini), vector databases, and orchestration frameworks", "Experience designing and running evaluations for language model systems in production", "Solid understanding of the data quality and pipeline requirements that make AI systems reliable", ], preferred: [ "Production observability experience: logging, tracing, and monitoring for AI system behavior", "Background in a multi-client services or consulting context where you owned AI systems across engagements", ], }, { title: "Data Engineer", type: "Project-based", loc: "NY / Remote", blurb: "Stand up the data and systems integration that AI value creation depends on.", roleDesc: [ "Data Engineers at Common Works build the data foundations that AI value creation depends on. Before a model can surface insight or an agent can complete a task, the data must be trustworthy, connected, and accessible. At many companies we work with, it isn't — yet. You are the person who changes that, under engagement timelines that don't allow for multi-quarter data projects.", "The work spans integration, transformation, and infrastructure. You will connect disparate source systems, normalize messy operational data, build pipelines that AI engineers can actually rely on, and put observability in place that makes those pipelines maintainable after you leave.", ], resp: [ "Build and maintain data pipelines integrating across portfolio company source systems — ERP, CRM, financial systems, operational databases", "Design and implement data models and transformation layers that make data trustworthy and ready for downstream AI use", "Establish data quality checks, observability, and alerting for critical pipeline dependencies", "Work closely with AI/ML engineers to understand upstream requirements and support downstream use cases", "Document data lineage, schema decisions, and pipeline architecture as handoff artifacts", "Move fast while building systems that are maintainable by the portfolio company team after the engagement closes", ], required: [ "4+ years of data engineering experience with a track record of production pipeline delivery", "Strong SQL proficiency and experience with at least one Python-based orchestration or transformation framework (dbt, Airflow, Prefect, or similar)", "Comfort working with legacy systems — on-premise databases, older ERP platforms, non-standard APIs — where the data lives but the infrastructure isn't clean", "Experience building integrations with enterprise source systems and third-party APIs", "Familiarity with modern cloud data warehousing: Snowflake, BigQuery, Databricks, or equivalent", "Understanding of data quality patterns, schema evolution, and pipeline reliability", ], preferred: [ "Experience building data infrastructure specifically for AI/ML model input or inference pipelines", "Background in multi-client consulting or PE portfolio company environments", "Experience with data observability tooling (Monte Carlo, Great Expectations, Elementary, or similar)", ], }, ], nav: [ { id: "what", label: "What We Do" }, { id: "careers", label: "Join Us" }, ], legal: { terms: { title: "Terms of Service", updated: "June 2026", intro: "These terms govern your access to and use of the Common Works website.", sections: [ { h: "Acceptance of terms", p: ["By accessing or using this website, you agree to be bound by these terms. If you do not agree, please do not use the site.", "We may update these terms from time to time; continued use of the site constitutes acceptance of the revised terms."] }, { h: "Use of the site", p: ["You may use this site for lawful, informational purposes only. You agree not to misuse the site, attempt to gain unauthorized access, or interfere with its operation."] }, { h: "Submitted content", p: ["When you submit information through this site\u2014including through a contact form or role application\u2014you grant Common Works a non-exclusive, worldwide license to use, store, and process that information for the purpose of responding to your inquiry or evaluating your candidacy. You represent that you have the right to submit any information you provide and that doing so does not violate the rights or obligations you owe to any third party."] }, { h: "Services and engagements", p: ["Information on this site describes our services in general terms and does not constitute an offer, proposal, or binding commitment. Any engagement is governed by a separate written agreement executed between Common Works and the client."] }, { h: "No investment or regulated advice", p: ["Common Works provides advisory and implementation services. Nothing on this site constitutes investment advice, an offer to buy or sell securities, or the provision of regulated financial, legal, tax, or accounting services."] }, { h: "Intellectual property", p: ["All content on this site, including text, design, and marks, is owned by or licensed to Common Works and may not be reproduced without permission."] }, { h: "Disclaimers and limitation of liability", p: ["The site is provided on an \u201cas is\u201d and \u201cas available\u201d basis, without warranties of any kind, express or implied, including any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. To the fullest extent permitted by law, Common Works and its affiliates will not be liable for any lost profits, lost business opportunities, reputational harm, loss of data, or any indirect, incidental, special, consequential, or punitive damages arising out of or related to your use of the site, even if we have been advised of the possibility of such damages."] }, { h: "Governing law", p: ["These terms are governed by the laws of the State of New York, without regard to its conflict of laws principles. Any dispute arising from or relating to these terms or your use of this site shall be resolved exclusively in the state or federal courts located in New York County, New York, and you consent to personal jurisdiction in those courts."] }, { h: "General terms", p: ["If any provision of these terms is found unenforceable, it will be modified to the minimum extent necessary to make it enforceable, or severed if modification is not possible, without affecting the remainder of these terms.", "Our failure to enforce any provision of these terms does not constitute a waiver of our right to do so in the future. You may not assign your rights or obligations under these terms without our prior written consent. Common Works may assign these terms to an affiliate or successor without restriction."] }, { h: "Contact", p: ["Questions about these terms may be directed to contact@commonworks.ai."] }, ], }, privacy: { title: "Privacy Policy", updated: "June 2026", intro: "This policy describes how Common Works collects, uses, and protects information through this website.", sections: [ { h: "Information we collect", p: ["We collect information you provide directly, such as your name, email, location, and professional links when you contact us or submit an application. We may also collect limited technical data automatically, such as device and usage information."] }, { h: "Cookies and technical data", p: ["When you visit this site, certain technical information is collected automatically — including your IP address, browser type, referring URL, and pages visited. We use cookies and similar technologies for basic site functionality and, where enabled, analytics. Third-party services embedded in this site (such as fonts or hosting infrastructure) may independently receive limited technical data subject to their own privacy practices. You may disable cookies through your browser settings, though some site functionality may be affected."] }, { h: "How we use information", p: ["We use information to respond to inquiries, evaluate applications, deliver and improve our services, and communicate with you. We do not sell your personal information."] }, { h: "Lawful bases for processing", p: ["We process personal information where we have consent, where processing is necessary to take steps at your request before or during a contract, or where we have a legitimate interest in doing so. You may object to processing based on legitimate interest by contacting us."] }, { h: "Applications and candidate data", p: ["If you apply to join our network, we use the details and documents you submit to assess fit for current and future opportunities. We may retain this information to consider you for relevant engagements."] }, { h: "Sharing and disclosure", p: ["We may share information with service providers who support our operations under appropriate confidentiality obligations. We may also disclose information where required or permitted by law — including in response to valid legal process, to assist a government or regulatory investigation, to enforce our agreements, to defend against legal claims, or to protect the security and integrity of our operations or the safety of any person. Where we are permitted to do so, we will endeavor to notify affected individuals of such requests. We do not otherwise disclose your information without a lawful basis.", "This site is operated from the United States. If you interact with us from outside the US, your information will be transferred to and processed in the US, where data protection laws may differ from those in your jurisdiction. By submitting information through this site, you acknowledge that transfer."] }, { h: "Data retention and security", p: ["We retain personal information as long as reasonably necessary for the purposes collected — including holding application materials to consider candidates for relevant opportunities over time. We may also retain information where required by law or to resolve disputes, and take reasonable steps to delete or de-identify it when no longer needed. No method of storage or transmission is fully secure, and we cannot guarantee absolute protection."] }, { h: "Your choices", p: ["You may request access to, correction of, or deletion of your personal information, subject to applicable law, by contacting us."] }, { h: "Changes to this policy", p: ["We may update this policy from time to time. The current version is always available at this URL; the last updated date at the top of the page reflects when material changes were last made. Your continued use of this site after a change constitutes acceptance of the updated policy."] }, { h: "Contact", p: ["Questions about this policy or your data may be directed to contact@commonworks.ai."] }, ], }, }, }; window.CW = CW;