Engineering Manager - Data Engineering

Engineering Manager - Data Engineering Meet Upside: We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives. About the role: We’re looking for an Engineering Manager to lead our Data Engineering team, the owners of Upside’s core data platform. This team provides the ingestion, modeling, orchestration, and tooling capabilities that power analytics and data-driven decisions across the company. You’ll combine technical acumen with people-first leadership to scale our platform, foster engineering growth, and drive data accessibility and trust across internal teams. This role will also help close a strategic gap in our technical organization by guiding the evolution of MLOps practices to support the development, deployment, and monitoring of machine learning models used in personalization and optimization features. Here are some ways we have seen leaders drive impact at Upside: - Create a safe, collaborative team environment. You name problems and invite open discussion, which motivates your team to do their best work. - Operate with a first-team mindset. You lean in when important areas need help, regardless of whether it's “your” domain, and prioritize the success of the whole organization. - Raise the bar. You identify and influence improvements in quality, performance, speed of execution, and engineering standards. - Grow talent. You coach your engineers, recognize their achievements, and help them develop skills that will benefit them and Upside for years to come. - Set clarity and empower autonomy. You ensure expectations and direction are clearly articulated so that individuals and teams can operate with independence, confidence, and creativity. In addition to the leadership responsibilities above, you will: - Co-Create and drive the vision and roadmap for Upside’s data platform, shaping the strategy for data across Upside in alignment with company goals. - Ensure our data stack, which includes Snowflake, dbt, and Dagster, enables scalable, self-service, and trustworthy workflows for reporting, analytics, and experimentation. - Drive strategic data platform initiatives that improve reproducibility, reliability, and analytics enablement—such as modernizing legacy infrastructure, implementing tools like Snowflake Semantic Views and Cortex, and transforming 3rd-party data into trusted, production-ready assets. - Define and track key platform health metrics, including pipeline reliability, SLA adherence, cost-efficiency, and model deployment readiness. - Partner cross-functionally with Product, Engineering, Data Science, and GTM stakeholders to ensure the data platform supports current and emerging business needs. - Represent Analytics Engineering in company-wide planning forums, technical councils, and cross-functional working groups. Why You Should Apply - You aren’t afraid to challenge the status quo when it makes the team and business better. You learn from those around you while utilizing data to advocate for informed change. - You thrive at the intersection of systems and storytelling, not only building robust solutions but also communicating their purpose, impact and rationale, so teams can experiment, iterate, and act confidently. - You care about building resilient systems that scale. You bring a mindset of continuous improvement, and know when to invest in observability, automation, or new infrastructur ... (truncated, view full listing at source)