About The Position

G2 is seeking a Principal Product Manager with technical expertise and strong business acumen to drive growth in its Data Solutions business. This role will lead the ecosystem of APIs, integrations, partner capabilities, and workflows that bring G2 data to market. The Product Manager will own the product strategy and roadmap for Data Solutions revenue and pipeline growth, customer MCP adoption and usage, expansion of MCP surface area through partners, and integration cleanup and migration. This is a senior individual-contributor role that requires the ability to translate business use cases into technical builds, prototype API or MCP integrations, and ship targeted code when necessary for validation or to unblock delivery, while Engineering remains accountable for production architecture, quality, reliability, and sustained implementation.

Requirements

  • 10+ years of product management experience, including senior ownership of technical B2B products, platforms, APIs, data products, or integration ecosystems.
  • Strong fluency in APIs, authentication, real-time and batch data delivery, integration architecture, developer workflows, and MCP.
  • Ability to read and write code well enough to prototype integrations, inspect implementation constraints, and ship targeted changes when appropriate.
  • A track record of turning ambiguous customer, partner, and commercial demand into focused product strategy and reusable capabilities.
  • Experience leading 0-to-1 technical products and evolving them into stable platforms.
  • Proven ability to work across Engineering, Data, Partnerships, Revenue, Customer Success, and executive stakeholders with competing priorities.
  • Demonstrated experience growing a B2B data or technical product business through customer discovery, offering development, and close partnership with commercial teams.
  • Clear communication and strong judgment about when to move quickly, when to standardize, and when to say no.

Nice To Haves

  • Experience with data licensing, commercial data products, or customers such as investors, financial institutions, and AI labs.
  • Experience with B2B data, developer tools, SaaS platforms, or partner-led products.
  • Experience with MCP, agentic workflows, AI-enabled integrations, or semantic data access.
  • Experience with design-partner, partner-engineering, solutions-architecture, or product-led partnership motions.

Responsibilities

  • Own the strategy and roadmap for how G2 data is exposed and activated through APIs, MCP, strategic integrations, and developer and partner surfaces.
  • Own the integration hub service, developer portal, and public-facing surfaces used by Marketing Solutions customers, Data Solutions customers, and partners, including the health, rationalization, and migration of the integration portfolio.
  • Define the platform capabilities that should be built once and reused across customers, partners, and use cases.
  • Work with Partnerships to identify the partners that can most effectively expand MCP surface area and customer value, while deciding whether each use case belongs in MCP, an API, or a more custom integration.
  • Prioritize investments using customer evidence, revenue opportunity, partner readiness, technical leverage, and strategic differentiation.
  • Make clear build, buy, partner, and defer decisions.
  • Work closely with Engineering and Data teams on APIs, data contracts, authentication, permissions, reliability, and developer experience.
  • Prototype integrations and ship targeted code when doing so accelerates learning, proves an approach, or unblocks delivery.
  • Create reusable patterns that let other G2 product teams safely expose their workflows through MCP without the Ecosystem PM owning every product-specific use case.
  • Translate technical constraints and architecture choices into clear customer and business tradeoffs.
  • Stay close to implementation details without losing accountability for the product strategy and outcome.
  • Own the product roadmap supporting Data Solutions revenue and pipeline growth, aligning customer needs and market opportunities with new business, retention, and expansion priorities.
  • Build a deep understanding of how investors, financial institutions, AI labs, and other Data Solutions customers use G2 data, what drives its value, and where unmet needs create opportunities to grow.
  • Partner with Data Solutions commercial leaders to shape new offerings and improve existing ones, including recommendations on data coverage, packaging, pricing, delivery options, and customer experience.
  • Support priority customer opportunities through discovery, technical evaluation, and pilots, helping customers validate the value of G2 data and turning repeatable needs into scalable product capabilities.
  • Work with Engineering and Data teams to improve the quality, coverage, freshness, documentation, and delivery of data based on the needs of priority customer segments.
  • Partner with account teams to identify adoption barriers, renewal risks, and expansion opportunities, translating those insights into clear roadmap priorities.
  • Turn repeated commercial and partner needs into productized capabilities rather than bespoke commitments.
  • Define product requirements and launch plans for partner-enabled MCP capabilities and integrations that materially improve customer workflows or expand G2’s distribution.
  • Lead the cleanup and migration of legacy integrations with clear ownership, customer communication, deprecation plans, and paths to the future-state architecture.
  • Create a shared planning and feedback loop across Product, Revenue, Partnerships, Customer Success, and Marketing.
  • Give commercial teams a simple, accurate view of current capabilities, roadmap intent, dependencies, and tradeoffs.
  • Balance near-term customer and partner needs with a durable platform strategy.
  • Define the role’s product contribution across Data Solutions revenue and pipeline, customer MCP adoption and usage, partner-expanded MCP surface area, integration migration progress, reliability, retention, renewal influence, and expansion.

Benefits

  • Performance
  • Entrepreneurship
  • Authenticity
  • Kindness
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