Staff Product Manager, Foundations

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Product Manager, Foundations based in United States.

This role offers the opportunity to shape the strategy and evolution of a critical data platform that powers scalable product experiences and customer outcomes. You will operate at the intersection of platform technology, product innovation, and business impact, helping teams leverage reliable and accessible data solutions. The position requires strong product leadership, technical depth, and the ability to drive complex platform initiatives from strategy through execution. You will partner closely with engineering teams, product leaders, and customers to define long-term investments and deliver measurable value. This is a high-impact opportunity to build foundational systems that support growth, automation, and future AI-driven capabilities. The ideal candidate thrives in ambiguous environments, communicates clearly, and creates alignment across multiple stakeholders. You will play a key role in building scalable infrastructure that enables teams to deliver better products and experiences.

Accountabilities:: The Staff Product Manager, Foundations will own the product vision, strategy, and roadmap for a core data platform that supports business-critical products and customer experiences. This role requires balancing technical platform investments with customer and business needs while enabling teams to build efficiently and scale effectively.

Define and execute the roadmap for foundational data platform capabilities, partnering with engineering teams to prioritize durable investments and long-term scalability.

Collaborate with product teams to understand platform requirements, anticipate future needs, and create solutions that support current and future product development.

Drive platform strategy by establishing clear priorities, sequencing initiatives, and aligning stakeholders around key business and technical outcomes.

Make informed tradeoffs between feature delivery, platform stability, scalability, and operational excellence.

Promote adoption of platform capabilities by enabling internal teams, improving contribution models, and encouraging effective platform usage.

Engage directly with customers to understand complex platform requirements and identify opportunities to improve product outcomes.

Develop a forward-looking platform vision that supports future growth, AI-powered capabilities, and evolving business needs.

Define success metrics, measure platform impact, and track outcomes related to scalability, enablement, reliability, and performance.

Support engineering teams and technical leaders responsible for building and maintaining the data platform.

Establish strong communication practices across product, engineering, and business teams to ensure alignment and transparency.

Requirements:

The ideal candidate brings significant experience building and scaling technical platforms, strong product leadership capabilities, and the ability to translate complex technical concepts into business outcomes.

6+ years of product management experience supporting platform teams, preferably focused on data platforms or data products.

Proven experience building and scaling new platforms from early stages through long-term growth.

Strong ability to independently define product direction, establish priorities, and drive execution with engineering partners.

Experience creating platform roadmaps with clear goals, sequencing, success metrics, and stakeholder alignment.

Deep understanding of data platform concepts, including data pipelines, databases, storage systems, querying, APIs, and related technologies.

Ability to collaborate effectively with engineers on complex technical decisions while communicating clearly with non-technical stakeholders.

Strong analytical mindset with experience using data to guide product decisions and measure business impact.

Excellent communication, collaboration, and relationship-building skills with cross-functional teams.

Comfortable operating in fast-paced, ambiguous environments where processes and structures are continuously evolving.

Customer-focused approach with the ability to connect technical investments to measurable outcomes.

Experience using AI tools to improve productivity, decision-making, and product development workflows.

Must be authorized to work in the United States without current or future employer sponsorship.

Benefits:

Competitive salary package with equity opportunities.

Comprehensive medical, dental, and vision coverage, including full coverage of employee-only premiums for most medical plans.

Fully paid parental leave for all new parents.

Health and wellness stipend.

Remote work support including workspace, internet, and cellphone stipends.

Flexible paid time off policy and paid sick leave.

401(k) retirement plan with employer matching and immediate vesting.

Family planning benefits.

Company-paid holidays.

Virtual team-building activities, learning sessions, and company-wide events.

Access to office locations and collaboration spaces in multiple global locations.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1