Product Manager, Data Platform

Beacon Software is a permanent capital holding company which acquires and grows essential businesses. We are a profitable series B+ firm that combines great technologists, operators and M&A professionals to accelerate the scale of the ambition of the dozens of businesses we own and operate. We are supported by capital from tier-1 venture capital, crossover, and endowment investors as well as the founders of the leading technology companies from the past decade. We are growing our team in Toronto, San Francisco, and New York. Apply below. Role Overview We are looking for a senior to principal product manager to help us build our data platform and own the strategy, roadmap, and execution of Beacon's internal data infrastructure. This is a high-impact, cross-functional role sitting at the intersection of our platform engineering team and our integrations function, which onboards newly acquired companies within 90 days of close. You will be responsible for partnering with our internal platform engineering team to unify the technology stacks of our portfolio companies into a coherent data platform, building agentic workflows that allow internal teams to query and act on data across the portfolio, and developing products that accelerate our BD and M&A function—from data room preparation to tracking acquisition velocity. This is a senior-level role in scope and ownership. This is a rare opportunity to build a data platform from the ground up at a firm that moves fast, acquires companies regularly, and genuinely values the work of platform and product teams. You will have high visibility with senior leadership, direct ownership of a critical internal product, and the opportunity to shape how an entire portfolio of software businesses runs on data. You won't be maintaining someone else's roadmap—you'll be writing it. What You'll Own Data Platform Strategy & Architecture Define and drive the roadmap for integrating the technology stacks of all Beacon portfolio companies into a unified data platform Prioritize which data sources, connectors, and integrations to build, establishing a clear framework for sequencing decisions Coordinate with platform engineering to ensure data infrastructure, internal tooling, and portfolio-facing products converge into a coherent, maintainable architecture Own the product experience for integration tooling—including templatized onboarding checklists, access tracking, and migration dashboards used by the integrations team Identify where we need to provide unified dashboards for business intelligence for leadership to help with GM and portfolio reporting analytics Agentic Workflows & AI-Powered Products Design and ship agentic workflows that allow internal stakeholders to query, analyze, and act on data across the portfolio in natural language Evaluate and productize experiments emerging from the GTM engineering team, managing the pipeline from prototype to shipped feature Champion AI-native product patterns, leveraging tools like Claude and custom MCP (Model Context Protocol) servers to extend platform capabilities BD & M&A Enablement Build and maintain products that ensure clean, up-to-date data is available in the data room for BD and M&A teams at all times Develop tooling to track and improve BD and M&A velocity—surfacing pipeline metrics, diligence timelines, and acquisition progress across deals Partner closely with the M&A and Business Development teams to understand their data needs and translate them into platform requirements Cross-Functional Leadership Serve as the connective tissue between platform engineering, the integrations team, and business-side stakeholders (BD, M&A, portfolio GMs) Run structured product discovery, write clear PRDs, and drive sprint-level execution with the engineering team Define success metrics for the data platform and establish a regular cadence for reviewing progress against them What We're Looking For Experience 5–10 years of product management experience, with a meaningful portion spent on data platforms, internal tools, or developer-facing products Demonstrated experience owning complex, cross-functional product roadmaps with multiple stakeholder groups Prior experience in a PE-backed, high-growth, or multi-product environment is a strong plus Background as a software engineer, startup founder, or in a technical IC role is a significant plus Nice-to-Have Skills: Strong technical fluency—you can read code, write lightweight scripts, and hold your own in architecture discussions with engineers Hands-on familiarity with AI tools, including Claude or similar LLMs, for both personal productivity and product development Experience building or working with MCP (Model Context Protocol) servers, or demonstrated comfort building agentic AI workflows Familiarity with data integration patterns, APIs, webhooks, ETL pipelines, and CRM/support platform data models (HubSpot, Zendesk, or similar) Comfort with SQL and basic data analysis to independently explore datasets and validate product hypotheses Ways of Working Highly autonomous—you take ownership end-to-end, raise blockers early, and keep projects moving without hand-holding Structured communicator—you write clear PRDs, crisp project updates, and can translate technical concepts for non-technical audiences Builder mindset—you're energized by 0-to-1 problems and are comfortable operating in environments where processes are still being defined Curious and adaptable—Beacon operates across many verticals, and you enjoy getting up to speed quickly on new domains Our Values at Beacon Software Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected. Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.