Job Req ID: 106938
Job Type: Full-time
Work Category: Hybrid Telecommute
Application Close Date:
Sponsorship: Not Available
Compensation: $151,000 - $226,600
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We are GALLO
We're a family-owned company with a 90+ year legacy, that's consistently recognized as a Glassdoor "Best Places to Work." We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We're home to the #1 wine and spirits brands in the U.S. - Barefoot Wine &High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America.
View our Corporate Values and Mission Statement here.
A Taste Of What You'll Do
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.
What You'll Need