Head of Product Innovation

As the world’s number 1 job site*, our mission is to help people get jobs. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Indeed's Marketplace Data Platform (MDP) is Indeed's ML feature platform and product data platform. Every day, you will be on a mission to accelerate AI/ML innovation, making ML effortless and data consistent across the entire ecosystem. MDP owns the full ML feature lifecycle (ingestion, feature engineering, online and offline serving, monitoring, and governance) and is the source of truth for ML and product teams powering Search, Recommendations and more across Indeed, Glassdoor, and the broader Recruit network.

As a Senior Product Manager on MDP, you will own the platform's data discovery, understanding and governance tooling as well as its economics — the systems that make data discoverable, trustworthy, and compliant, and the levers that bring cost and usage efficiency to the entire platform. You will define the vision, strategy, and multi-quarter roadmap for this area, partnering with engineering, UX, and science leadership. You will work closely with diverse clients across the Indeed ecosystem, anticipate their needs in a fast-moving market, and balance near-term demands against long-term platform health. Above all, you will drive economies of scale: capabilities and data assets built once and reused across product surfaces, governance that scales without slowing teams down, and clear visibility into platform cost and usage so investment follows ROI.

Define and own the vision, strategy, and multi-quarter roadmap for data discovery, understanding, and governance.

balance customer needs, market dynamics, and business direction; Design for interoperability across adjacent surfaces, APIs, and data contracts; balance customer value with scalability, latency, and cost.

iterate post-launch on feedback and data.

Communicate complex technical context to senior leadership and partners — crisp written and verbal updates on risks and trade-offs.

Mentor junior PMs and engineers — sharing product thinking, roadmapping, and customer-centric trade-off frameworks to raise the bar on product practice within MDP.

Requires Bachelor's degree and at least 12 years relevant experience, 14 years of relevant experience, or equivalent in education and experience.

Technical background with a deep understanding of software development teams and how ML engineers, applied scientists, and data analysts work, with a focus on delivering an exceptional developer experience for teams building on platform capabilities.

Proven track record building and scaling feature platforms, ML infrastructure, or data platforms that solve complex technical challenges and create meaningful impact for users and internal teams.

Expertise across the ML lifecycle, including feature engineering, online and offline serving, monitoring, and the technologies that support each stage of model development and deployment.

Familiarity with feature platform architecture and operations, including streaming and batch pipelines, online and offline feature stores, point-in-time-correct training data, freshness, governance, lineage, and discovery.

Demonstrated success improving platform efficiency through cost attribution, usage and adoption metrics, capability reuse, and data-driven decision-making in ambiguous, high-impact environments.

Working knowledge of privacy and data governance frameworks, including PII, GDPR, and CCPA, and their implications for platform design, coupled with excellent written and verbal communication skills in English.

Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Candidates can view geographic pay tiers by location on our career site ( and recruiters can confirm how location is considered for a specific role.

We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at , we also want to make you aware of our recruitment specific privacy policy found at .

Indeed’s Employee Recruiting Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at , we also want to make you aware of our recruitment specific privacy policy found at .

Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications.