Senior Product Manager, Data Platform, Platform API

🕒 Junho 8

🏄 California – Remoto

🏄 California – Remote

💵 $140.000 - $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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HubSpot

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2006

🤝 B2B

☁️ SaaS

B2B • SaaS • Marketing

A HubSpot é uma plataforma de atendimento ao cliente com tecnologia AI, que combina softwares de marketing, vendas e atendimento ao cliente em um conjunto integrado. Com mais de 238. 000 clientes em 135 países, a HubSpot oferece ferramentas para automação de marketing, gestão de vendas, atendimento ao cliente, marketing de conteúdo, operações e comércio B2B. Com produtos como Marketing Hub, Sales Hub, Service Hub e Content Hub, a HubSpot permite que empresas gerem leads, fechem negócios e ofereçam excelente suporte ao cliente, tudo isso utilizando IA para aprimorar operações e insights. A plataforma é projetada para unificar equipes e dados de clientes, apoiando tanto startups de pequeno porte quanto grandes empresas em sua jornada de crescimento.

Descrição

• Create a shared vision and cohesive roadmap for HubSpot's data primitives — objects, properties, property groups, associations, and the metadata systems that make them discoverable and extensible • Own the API mission for Data Platform: define standards for how our data layer is surfaced to developers, set the direction for API quality and consistency, and coordinate with Ecosystem and Partnerships teams on where API capability unlocks platform value • Drive alignment on schema evolution across HubSpot — working with PMs, engineers, and architects across Marketing, Sales, Service, and AI Agents to ensure the data model grows in a way that's backward-compatible and forward-looking • Guide new product ideas from initial concept all the way through launch, including shipping improvements to how customers define and manage their own data model in HubSpot • Understand our customers and their data complexity by engaging with them directly — from SMBs managing simple contact records to enterprise teams running sophisticated multi-object data architectures • Use data and developer research to identify friction in our API surface, devise strategy to address it, and partner with engineering to ship improvements that measurably improve developer experience • Represent the data primitives and API roadmap to senior leadership, Ecosystem partners, and key enterprise customers

🎯 Requisitos

• Experience launching products successfully to customers, ideally in platform, data infrastructure, or developer tooling contexts • Deep fluency in data modeling concepts — entity-relationship modeling, schema design, metadata systems, and data normalization; experience owning or contributing to a metadata platform, data catalog, or CRM data model is a strong plus • Strong API intuition — you've shaped REST or GraphQL APIs and can reason about versioning, backward compatibility, latency tradeoffs, and developer ergonomics • A multidisciplinary approach to thinking, combining market, business, and technical insights to identify opportunities and weigh tradeoffs • The ability to read and write technical specs; comfort reviewing architecture diagrams, ERDs, and API contracts • The ability to articulate product vision to a variety of audiences — engineers, executives, and external developers • A deep respect for the expertise and insights of their collaborators, including engineering, design, UX research, analytics, and others • A drive to understand customer needs deeply and to truly solve for their problems, including enterprise customers with sophisticated data requirements • A desire to understand how HubSpot products work — and how they depend on the data model underneath • The ability to make decisions, test assumptions, and iterate — often without perfect information • Demonstrated ability to adapt in an innovative and fast-paced environment • An understanding of the competitive software space, including how other CRM and data platforms approach schema extensibility and developer ecosystem • Experience using or building supporting infrastructure for AI products and agentic experiences.

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options • Equity plan