Jobs at Upside

Own and maintain dbt data models across design, testing, deployment, monitoring, and documentation. Translate ambiguous Marketing and Product needs into reliable data solutions, write design documents, support production issues, create runbooks and schema documentation, and coach junior engineers. The role uses SQL, Python, Snowflake, dbt, Dagster, and AWS while partnering closely with Marketing, Data, and MarTech teams.

Drive application security by running SAST/SCA, threat modeling, vulnerability management, and remediation. Advise on secure architecture, train engineers, support pentests/bug bounties, and administer AWS Control Tower and IAM. Innovate with AI to improve AppSec tooling and practices.

Drive enterprise sales growth by acquiring large fuel retail chains, wholesalers, and marketers. Build executive relationships, present a data-driven value proposition, exceed quotas, develop pipelines, manage forecasts, and onboard new merchant accounts. Partner with Sales, Product, and Marketing teams on go-to-market strategy, launches, roadmaps, and partnerships. The role requires extensive enterprise SaaS or fuel-industry sales experience, Salesforce proficiency, and 30–50% travel.

Lead the Consumer Core full-stack team building core functionality across Kotlin Multiplatform front-end and Python/Java back-end. Drive architecture, security, reliability, cost-efficiency, tooling, AI adoption, and cross-functional alignment. Coach engineers, set domain boundaries, represent the team in planning, and scale systems and processes to support Consumer and Partnerships applications.

Lead mid-market and enterprise grocery accounts to drive retention, growth, and expansion. Onboard retailers, run monthly reviews, interpret data into reports and case studies, coordinate cross-functional teams, and proactively mitigate churn.

The role involves designing and building AI-native systems for revenue teams at Upside, including developing applications, partnering with teams, managing the entire stack, and improving system reliability and performance.

The Principal Product Marketing Manager drives customer engagement and retention strategies, creates sales enablement materials, and collaborates with teams to enhance customer value and minimize churn.

Lead consumer growth end-to-end for a hypergrowth app: own conversion, retention, cross-sell, organic growth, and multi-category adoption. Set data-driven strategy, improve product quality and trust, build habit-forming experiences, balance unit economics, and grow a team of PMs while partnering with Design, Data, and Marketing.

Build a zero-to-one AI-native go-to-market platform embedded with revenue teams. Define architecture, ship prototypes to production, iterate on LLM-driven agentic orchestration and automation, and measure success by business outcomes while ensuring security and supportability.

Lead strategy and roadmap to build a personalized growth engine using AI and marketing technology. Define requirements across data infrastructure, multi-channel outreach, app surfaces, creative personalization, and incentive systems. Run experimentation, set KPIs, drive cross-vertical adoption, and align engineering, design, data, and marketing to scale repeatable user habits and retention.

Lead a small embedded design and research team to raise polish and consistency across consumer and payments experiences. Build design systems, embed design in discovery with Product/Engineering/Marketing, deepen research practice, apply AI-native scaling, and drive measurable outcomes for onboarding, redemption, and retention.

Serve as the company's chief legal officer overseeing contracts, privacy, data protection, consumer protection, employment, and commercial litigation. Lead and mentor deputy GCs, manage outside counsel, negotiate major commercial agreements, ensure compliance, and leverage AI to increase legal team productivity in a fast-paced technology company.

Lead the build-out of financial data infrastructure and automated reporting: design Snowflake-based warehouses, author SQL and dbt transformations, manage Pigment planning data, automate revenue workflows, use Python and AI for forecasting, create executive dashboards (Looker, HEX), and deliver ad-hoc strategic and M&A analytics to senior leadership and cross-functional partners.

Lead product analytics for Upsides consumer app: define KPIs and OKRs, design and analyze A/B tests, perform exploratory and root-cause analyses, forecast revenue impacts, build dashboards and data models, ensure robust instrumentation, and use AI tools to automate and scale experimentation and analytics workflows.

Lead a full-stack Reconciliation team owning transaction-matching pipelines across mobile and backend systems. Drive reliability, observability, and accuracy for post-claim flows, coach and grow engineers, contribute hands-on in high-leverage technical areas, partner cross-functionally, and scale systems and processes to improve transaction success and user trust.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.