Director, Product Management, Streaming Analytics

Google • Seattle, WA, United States • $200k - $250k / year • 3m ago

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; Seattle, WA, USA.

Minimum qualifications:

Bachelor's degree in Computer Science or equivalent practical experience.
15 years of experience in product management leadership, providing product outlook and roadmaps.
Experience with streaming analytics technology and its application.
Experience building and delivering products in data analytics.
Experience building and scaling enterprise data analytics products, and driving go-to-market, positioning, pricing, industry needs, and field enablement.

Preferred qualifications:

Experience leading in a highly matrixed organization in a global capacity, balancing local nuances with global scalability.
Experience driving thought leadership with industry analysts and press, including experience working with Gartner.
Experience with strategic thought leadership, with the ability to drive sales excellence and operational/product aptitude while simplifying existing go-to-market models.
Familiarity with the enterprise data and analytics market segment, and expertise in application development, analytics, and AI/ML.

About the job

The Data and Analytics team develops impactful AI-enabled offerings to help give customers industry leading capabilities in data management. We have an opportunity to uniquely serve enterprises on their AI and data journeys. In Google Data and Analytics, we lead with reliability, scale, efficiency, and innovation.

As the Director of Product Management, you will lead the analytics business of our data streaming and event services. You will drive customer-centric product outlook and definition, building thought leadership in this market segment, and driving go-to-market strategy and execution for products (e.g., Pub/Sub, Dataflow, etc.). You will also help drive our data and analytics strategy in alignment with GCP's overall outlook of building a unified data platform centered around Google BigQuery, and build innovative solutions for real-time ETL, Log Replication and Analytics, machine learning and Generative AI, Marketing Intelligence, Clickstream Analytics, and more. You will own significant analytics product portfolio features and enhancements based on market and business goals. This includes partnering with our Go-to-Market team to create an innovative product go-to-market strategy for these services and also partnering closely with Engineering teams and other GCP product areas to ensure seamless product development.

The US base salary range for this full-time position is $253,000-$363,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Develop a strategic outlook and collaborate with customers, partners, the field, and Engineering to offer a coherent roadmap for our internal and external customers.
Work across product, engineering, and services teams to define, build, and support Data Analytics products that span across a portfolio of product offerings. Drive decisions around prioritization, solutions, functionality, and pricing.
Influence and establish best product management practices through solid design decisions, processes, and tools.
Build and drive a thought leadership narrative with customers and industry thought leaders around data analytics and how it fits into the greater data narrative.
Define Data and Analytics product go-to-market strategies, identify key market/competitive trends and customer opportunities, and plan and manage programs to execute against those strategies by partnering with Sales leadership at a regional and global level.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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