{"id":3149892,"url":"https://alion.io/job/google-group-product-manager-managed-service-for-apache-spark-2","title":"Group Product Manager, Managed Service for Apache Spark","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":151,"ghost_share":0.046,"stale_share":0.649,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Product","role_family":"Product","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kirkland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":174000,"max_usd":323000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":712},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Spark","optional":false},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-23T06:42:12Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-31T09:57:10Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"About the job\nAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.\nIn this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.\nOne of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.\nGoogle’s Agentic Data Cloud unifies customer data, AI models, and operational databases into a single System of Action. At the core of this offering is the Managed Service for Apache Spark, a premier compute engine enabling data engineering, streaming, and distributed machine learning over massive enterprise datasets. As enterprise AI shifts toward autonomous systems, Apache Spark is emerging as the foundational backbone for a wide range of high-impact Agentic AI workloads-including multimodal data prep, agent trajectory log processing for continuous learning, and low-latency context refresh for live agents.\nOur team sits at the exhilarating intersection where massive-scale enterprise data and Agentic AI come together. 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Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nAnalyze next-generation shifts in enterprise AI to set and execute the multi-year roadmap for Managed Spark evolving the engine to power high-impact Agentic AI workloads.\nAdvocate and represent the customer and define the end-to-end commercial strategy including pricing models, packaging, and unit economics to drive market share and customer return on investment (ROI).\nCollaborate with product and engineering leaders across Google Cloud Platform to deliver unified, interoperable capabilities that advance broader organizational goals and enterprise customer needs.\nOperate as a direct 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