--- title: 'Principal Product Manager, Data Products & Integrations at BranchLab' canonical: 'https://feeny.ai/job/principal-product-manager-data-products-integrations-branchlab-boulder-qqj12g33z33h' type: 'job' last_seen: '2026-09-14' --- # Principal Product Manager, Data Products & Integrations at BranchLab - **Company:** BranchLab - **Location:** Boulder, CO - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-17 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.ashbyhq.com/branchlab/02ed4a24-9565-47b1-b23f-ae861a808c5c ## Job description Job Title: Principal Product Manager, Data Products & Integrations Job Type: Full-time, Hybrid in office in Boulder, CO. We have an in-office culture, with a minimum 3 days in the office (Tues-Thurs). Reporting To: Senior Director of Product Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship ## ABOUT BRANCHLAB BranchLab is transforming healthcare commercialization with Pathwai™, the industry’s first Semantic Activation Platform. Our AI-native technology helps leading healthcare organizations and their agencies make smarter commercialization decisions and connect patients, providers, and caregivers to life-improving therapies and resources. Built for the evolving privacy landscape, BranchLab improves commercialization performance without relying on individual-level health information. By modernizing the industry’s technical infrastructure, we help organizations operate more efficiently and responsibly while improving how healthcare audiences are understood, reached, and engaged. BranchLab is helping build a more intelligent, efficient, and responsible model for healthcare commercialization. ## THE OPPORTUNITY We’re hiring a Principal Product Manager to lead our data products and integrations strategy. This role will define how BranchLab packages, governs, distributes, and scales identity, audience, activation, and partner-facing capabilities across our platform and ecosystem. - Own product strategy for high-impact data products, identity graph capabilities, and ecosystem integrations. - Define how BranchLab’s data assets should be packaged, distributed, and measured for customer and commercial impact. - Partner across Product, Engineering, Data Science, Privacy, Legal, Partnerships, Sales, Customer Success, and Operations to turn strategy into scalable platform capabilities. - Prioritize roadmap investments based on customer value, revenue opportunity, reuse, privacy risk, implementation complexity, and long-term differentiation. - Help shape the future of privacy-first healthcare commercialization by building data products that are rigorous, compliant, and designed for real-world use. ## KEY RESPONSIBILITIES You’ll serve as the product leader for data products and integrations, bringing product discipline to how BranchLab develops reusable data assets, scales integrations, and delivers measurable value to customers and partners. Lead data product and identity strategy Define the strategic direction for BranchLab’s identity graph capabilities, audience products, activation workflows, and reusable data assets. Clarify how these capabilities are positioned, differentiated, governed, measured, and incorporated into customer-facing products. Shape distribution and integration strategy Determine how data products should reach customers, partners, platforms, APIs, clean rooms, marketplaces, internal systems, and direct customer workflows. Create a product-led integrations roadmap that prioritizes high-value ecosystem connections and reusable integration patterns. Turn complex data capabilities into scalable products Manage identity and data products as reusable platform assets with clear customer segments, value propositions, documentation, access models, adoption targets, quality standards, and lifecycle plans. Help determine what should be created, scaled, maintained, consolidated, or retired. Lead cross-functionally from strategy through adoption Partner closely with Engineering, Data Science, Privacy, Legal, Partnerships, Sales, Customer Success, and Operations to translate strategy into delivery plans, commercial enablement, partner decisions, and measurable adoption outcomes. Focus Areas - Identity graph strategy and product positioning - Partner and platform integration strategy - Tokenization, identity resolution, and interoperability models - Direct integrations with healthcare, media, and activation partners - Reusable integration patterns, APIs, standards, and observability - Distribution strategy across platforms, clean rooms, marketplaces, and direct workflows - Data product packaging, lifecycle management, and commercial enablement - Privacy-safe product design for regulated healthcare commercialization use cases ## REQUIRED SKILLS & EXPERIENCE - · 8+ years of product management experience, ideally with data-heavy, platform, identity, audience, adtech, martech, healthcare data, or integration products. - Demonstrated ability to turn ambiguous data and infrastructure opportunities into clear product strategy, roadmap priorities, and customer-facing value propositions. - Strong understanding of data products, APIs, data pipelines, partner integrations, data quality, measurement, and platform scalability. - Experience working cross-functionally with engineering, data science, commercial, privacy, legal, and customer-facing teams. - Ability to evaluate tradeoffs across customer demand, revenue potential, strategic differentiation, feasibility, privacy risk, operational complexity, and reuse. - Strong communication skills, including the ability to represent product strategy in customer, partner, executive, and go-to-market conversations. - High-agency working style with comfort operating in fast-paced environments where priorities evolve and structure is still being built. - Commitment to building rigorous, privacy-safe products for regulated healthcare commercialization use cases. ## PREFERRED QUALIFICATIONS - · Experience with identity resolution, graph products, tokenization, audience activation, clean rooms, or healthcare media measurement. - Familiarity with healthcare commercialization, pharmaceutical marketing, regulated data environments, or privacy-preserving data collaboration. - Experience building partner ecosystems, integration marketplaces, self-serve APIs, or reusable platform capabilities. - Comfort translating technical data concepts into commercial narratives, enablement materials, and executive-level recommendations. - Experience defining product success metrics across adoption, revenue influence, quality, match rate, latency, support burden, and customer outcomes. ## WHAT SUCCESS LOOKS LIKE - You establish an approved strategy and roadmap for data products, identity graph capabilities, and integrations. - You increase adoption of prioritized data products across customers, partners, and internal teams. - You create clearer packaging, positioning, and distribution models that support new and expanded commercial opportunities. - You reduce duplicative or one-off integration work through reusable standards, patterns, and prioritization frameworks. - You improve visibility into data product performance through usage, quality, latency, match rate, support, and customer outcome metrics. - You build a clear governance model for data product lifecycle decisions, including launch, scale, maintenance, consolidation, and retirement. WHY JOIN BRANCHLAB? - Competitive Salary & Comprehensive Benefits - Small, Agile Team – Your work will have a direct impact - Equity Opportunities – Grow with the company ## About BranchLab ## Company Overview - **One-liner**: BranchLab provides a unified, privacy-first AI platform for pharmaceutical commercialization, enabling teams to predict health outcomes and optimize audience targeting for therapies. - **Entity Type**: Private (Series A) - **Headquarters**: New York, New York, USA & Boulder, Colorado, USA - **Founded**: 2024 - **Founders**: Josh Walsh (CEO), Dan Parkes (CTO), Michael Parkes (President & CRO) ## Core Business - **Primary industry/industries**: Healthcare AI, Pharmaceutical Commercialization, Healthcare Advertising Technology - **Target customers**: B2B — primarily pharmaceutical manufacturers (commercialization teams), advertising agencies, and publishers/platforms in the healthcare space - **Mission or purpose statement**: “To enable better healthcare decisions by applying AI in a way that is privacy-safe, rigorous, and designed for real-world use.” ## Products & Services - **Pathwai™ Platform**: A unified AI platform for pharma commercialization that predicts health outcomes without using Protected Health Information (PHI). It unifies research, marketing, and measurement in one system. - **Agentic Audience Creation & Optimization**: AI-driven tool to design and refine audiences using predictive modeling, deployable across all media types and channels. - **Omnichannel Activation**: Allows teams to explore and discover relevant audiences without exposing PHI, and activate proprietary audiences for greater qualified reach. - **Outcomes Optimization & Learning**: Measures real-world impact and continuously improves campaign performance using transformer-based architecture that trains on health data within customer-controlled environments. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of $35 million (latest: $26M Series A raised in May 2026) - **Notable Investors/Partners**: McKesson Ventures (lead), FCA Venture Partners, Sanofi Ventures, AIX Ventures, plus 10 other investors including CIMM Startup Program - **Growth Signals**: - Founded in 2024 and raised Series A within ~2 years - Reports delivering an average increase of nearly **70% in marketing efficacy** across diverse therapeutic areas - Claims **90% higher performance** than industry average audience quality vs. claims-based targeting - Reports **20× reduction** in cost per target audience reached - Claims **3× lower CPM** compared to competitive predictive audience targeting - Reports **30× faster** time to execute healthcare campaigns ## Competitive Advantages - **Privacy-first AI Architecture**: Uses a novel transformer-based model that trains on health data within customer-controlled environments while deploying only non-sensitive demographic and media-side signals — a key differentiator in the highly regulated pharma space. - **Unified Platform**: Replaces fragmented, offline workflows (typically involving multiple vendors for patient identification, segmentation, activation, and measurement) with a single AI-driven platform. - **No PHI Required**: Predicts health outcomes using only demographic data, enabling compliance with strict privacy regulations (HIPAA, etc.) while still delivering performance. - **Speed**: Collapses workflows that used to take months into minutes, giving pharma teams near real-time decision-making capability. ## Strategic Focus - Expand enterprise deployments with leading pharmaceutical companies - Deepen integrations across the healthcare and media ecosystem (publishers, platforms, agencies) - Continue building out the unified AI platform for pharma commercialization as the “infrastructure layer for how therapies are brought to market in the AI era” - Scale the team across engineering, data science, product, and client success roles ## Why Work Here - **High-growth startup**: Founded in 2024 and already at Series A with $35M total funding, backed by top-tier healthcare and AI investors including McKesson Ventures and Sanofi Ventures. - **Meaningful mission**: Work on AI that directly impacts how patients learn about and access life-improving therapies — the company explicitly states their work is grounded in “the belief that more informed, compliant, and predictive decision-making can meaningfully improve how healthcare systems serve patients.” - **Cutting-edge AI work**: Building novel transformer-based architectures for regulated environments — a challenging technical problem at the intersection of AI, healthcare, and privacy. - **Flexible locations**: Offices in both New York, NY and Boulder, CO — roles are listed as hybrid/on-site in those locations (specific policy per role). - **Engineering & data science focus**: Current open roles include Software Development Engineer, Data Scientist, Senior Data Scientist, Manager of Data Science, and Product Designer — indicating a strong technical core. - **Early-stage culture**: Opportunity to shape product, infrastructure, and culture at a formative stage; the company has a small team (LinkedIn shows ~2-10 employees range) offering high ownership and impact. - **Leadership credibility**: CEO Josh Walsh and CTO Dan Parkes bring deep domain expertise; the team includes VP of Data Science & AI Kat Drake. ## Sources 1. [branchlab.com](https://branchlab.com/) 2. [branchlab.com/about](https://branchlab.com/about) 3. [branchlab.com/careers](https://branchlab.com/careers) 4. [cbinsights.com](https://www.cbinsights.com/company/branchlab) 5. 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