Technical Product Manager

E. & J. Gallo WineryModesto, CA
Hybrid

About The Position

Join Gallo as a Technical Product Manager who ensures our data products are built with engineering rigor and delivered on platforms that are scalable, performant, available, and observable. You will champion engineering excellence across teams, invest in tooling, patterns, and best practices, and make pragmatic tradeoffs that keep systems reliable while enabling fast-paced innovation. You will set vision by translating business needs into technical direction, attract and retain top-tier engineers, and grow strong data engineering and site reliability teams. Recruiting, mentoring, and developing people through regular feedback are core to this role; you’ll create an environment where diverse perspectives are valued and teammates are empowered to do their best work. You’ll also build strong partnerships with business and technical leaders across Gallo to ensure alignment and measurable impact. You are a people-first leader who balances humility with accountability. You give and receive feedback effectively, handle tough conversations with empathy and clarity, and de-escalate complex situations while advocating for the right technical investments. You communicate clearly to technical and executive audiences, delegate with strong context, and take pride in watching others exceed expectations. You bring deep data and engineering experience: a track record implementing modern platforms in organizations transitioning from legacy or fragmented systems; strong SQL, API, AWS, and ETL pipeline design skills; familiarity with tools like Informatica IICS, Airflow, or similar; and hands-on programming in at least one major language. Experience with cloud data warehouses (Redshift / HANA), data modeling, orchestration, version control, distributed processing (Spark/Hadoop), streaming technologies (Kafka), and operating data at scale is expected. Foundational knowledge of AI/LLM operations, RAG, agentic AI workflows, and exposure to ML/MLOps is a plus. Experience with SAP data integration products, specifically SAP PI/PO for real-time orchestration and SAP BODS for enterprise-scale ETL. If you’re energized by building high-performing teams, improving platform resilience, and driving data-driven decisions at scale, we want to hear from you. Together, we’ll continue to innovate and grow while creating opportunities for all.

Requirements

  • Bachelor's degree plus 5 years of IT experience to include software development or product analyst experience reflecting increasing levels of responsibility; OR Bachelor's degree plus 3 years of technical product management or product ownership experience reflecting increasing levels of responsibility; OR High school diploma plus 9 years of IT experience to include software development or product management experience reflecting increasing levels of responsibility.
  • 1 year of experience leading software/product engineer/development or business systems analyst teams.
  • Knowledge of waterfall and agile software methodologies.
  • Excellent communication skills with experience explaining complex topics to both technical and non-technical audiences to influence outcomes.
  • Experience balancing multiple priorities and meeting deadlines.
  • Proven experience establishing strong working relationships with cross-functional teams.
  • Required to travel to company offices, sites, and/or meeting locations for onboarding, training, meetings, and events for development, department needs, and business delivery up to 5% of the time, with or without reasonable accommodation.
  • Required to be 18 years or older.
  • Strong SQL, API, AWS, and ETL pipeline design skills.
  • Hands-on programming in at least one major language.
  • Experience with cloud data warehouses (Redshift / HANA), data modeling, orchestration, version control, distributed processing (Spark/Hadoop), streaming technologies (Kafka).

Nice To Haves

  • Familiarity with tools like Informatica IICS, Airflow, or similar.
  • Foundational knowledge of AI/LLM operations, RAG, agentic AI workflows, and exposure to ML/MLOps is a plus.
  • Experience with SAP data integration products, specifically SAP PI/PO for real-time orchestration and SAP BODS for enterprise-scale ETL.
  • Bachelor's degree plus 7 years of IT experience to include software development or product analyst reflecting increasing levels of responsibility; OR Bachelor's degree plus 5 years of technical product management or product ownership experience reflecting increasing levels of responsibility; OR High school diploma plus 11 years of IT experience to include software development reflecting increasing levels of responsibility.
  • Ability to understand broader strategy and develop proactive solutions.
  • Product knowledge within specific product domain.
  • Knowledge of software engineering and coding/programming.
  • Ability to independently apply product management best practices.
  • Experience influencing and gaining the support of key stakeholders.

Responsibilities

  • Ensures data products are built with engineering rigor and delivered on platforms that are scalable, performant, available, and observable.
  • Champions engineering excellence across teams, invests in tooling, patterns, and best practices.
  • Makes pragmatic tradeoffs that keep systems reliable while enabling fast-paced innovation.
  • Sets vision by translating business needs into technical direction.
  • Attracts and retains top-tier engineers, and grows strong data engineering and site reliability teams.
  • Recruits, mentors, and develops people through regular feedback.
  • Creates an environment where diverse perspectives are valued and teammates are empowered to do their best work.
  • Builds strong partnerships with business and technical leaders across Gallo to ensure alignment and measurable impact.
  • Communicates clearly to technical and executive audiences.
  • Delegates with strong context.
  • Takes pride in watching others exceed expectations.
  • Implements modern platforms in organizations transitioning from legacy or fragmented systems.
  • Operates data at scale.

Benefits

  • Medical and dental coverage
  • 401k plans
  • Profit sharing
  • Pet insurance
  • Company holidays
  • Access to an employee wine shop
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