Upside

Backend Engineer

• Design, develop, and maintain production-grade backend platforms for global clients
• Work in small autonomous teams (3-9 people) delivering mission-critical systems
• Make architecture decisions and implement deployments
• Collaborate directly with technology leaders, founders, and domain experts
• Contribute to open-source projects and internal R&D (e.g., Enthusiast AI Agent framework)
• Communicate with both technical and non-technical stakeholders to shape solutions

Senior Backend Engineer, Python/Ruby

• As a Backend Engineer, you will be integral to the process of building and maintaining platforms that meet the needs of our global clients.
• Your work will significantly support the infrastructure of the solutions directed towards clients.
• You'll be part of a development team, sized between 3 to 9 members, dedicated to crafting scalable and resilient backend systems.
• Collaborating closely with both the development team and our clients, ensuring that our backend solutions are perfectly aligned with client requirements and expectations.
• Work in small, focused teams, combining engineering, product thinking, and design, to deliver outcomes, not just output.
• Build and maintain open-source projects that support clients and internal R&D.

Backend Engineer, Python/Ruby

Data Scientist

• Own the entire machine learning lifecycle – from framing ambiguous business problems to delivering measurable impact in production
• Dig into complex data to design, run, and refine analyses through well-structured, performant SQL
• Engineer, validate, and deploy real-time ML models–including building the data pipelines, writing production inference code, and monitoring model performance
• Design and execute experiments to measure business impact, troubleshoot unexpected outcomes, and iterate quickly
• Effectively translate results of experiments and analyses into actionable insights for stakeholders and leadership with a variety of technical backgrounds

Marketing

• Lead Marketing Measurement Methodology: Architect and own our marketing measurement stack, including multi-touch attribution, media mix modeling (MMM), Bayesian approaches to incrementality testing (geo holdouts, lift studies), and attribution modeling.
• Turn Analysis Into Influence: Distill complex models into executive-ready presentations with a clear point of view, well-structured narrative, and actionable recommendations.
• Experimentation & Causal Inference: Partner with marketing teams to design and run statistically rigorous experiments, ensuring minimum detectable effect thresholds and robust test design.
• Retention & LTV Analytics: Build cohorting and churn risk models that inform CRM strategy and help maximize long-term value from our customer base.
• Privacy-Resilient Measurement: Adapt frameworks for a privacy-first world, incorporating probabilistic attribution and server-side measurement.
• Cross-Functional Collaboration: Work with Engineering, Data, and MarTech teams to ensure clean, reliable, and real-time data flows for all marketing and measurement needs.
• Team Development and Mentorship: Mentor and guide junior data analysts to build team capabilities and foster a culture of analytical rigor and best practices in marketing measurement.

Principal Analyst, Marketing Measurement & Effectiveness

Data Analyst

• 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.
• The Impact You'll Make:
As the Revenue Analytics Manager, you will be responsible for providing analytics and insights to our GTM teams and their partners, including B2B Partnerships, B2B Marketing, Sales, Account Management, Enablement, Finance, and HR. You will report into the VP of GTM Strategy &amp; Operations, with dotted-line responsibilities tied to our Senior Revenue Analytics Manager, Incentive Compensation Principal, and Revenue Operations Principal.
• Act as a go-to-market analytics generalist, gaining exposure to overall go-to-market strategy and insights generation by working directly on projects for Planning & Analytics team members and GTM leadership.
• Support the forecasting process and its effectiveness across Sales and Accounts - leverage existing forecasting models to deliver weekly revenue and bookings forecasts in a clear, repeatable format.
• Own analytical support and act as the “first line of defense” for reporting needs for various functional areas, such as Partnerships, SMB and Enablement.
• Maintain, update, and develop dashboards in Looker and Salesforce to facilitate the day-to-day activities of customer-facing teams. For example, tracking our meeting-to-opportunity conversion ratio and establishing benchmarks for weekly meeting volume per salesperson.
• Use data analysis and storytelling to generate actionable insights for our customer-facing teams. Develop relationships with customer-facing team members to better anticipate their needs.
• Provide pre-sales account performance estimates for the Restaurant and Grocery verticals, managing requests via the JIRA queue in a timely and accurate manner. Contribute to the evolution of the models that produce these estimates, to increase their ease of use, sophistication, and accuracy.
• Support annual and quarterly planning efforts for the RGTM org as needed, especially providing reports that help sales and accounts managers design their books of business equitably.
• Partner with the Sales Ops team to design processes and data capture that deliver the analytics needed with Salesforce and in other BI tools, deriving from Salesforce data.