Upside

Analyst

• Own end-to-end Consumer reporting, delivering reliable weekly/monthly/quarterly business reviews and “mission control” dashboards that provide a fast, cohesive read on performance.
• Build, maintain, and evolve dashboards in our BI stack; write scalable SQL and apply data modeling best practices to ensure performant, trustworthy self-service.
• Develop automated reporting and alerting to improve clarity and speed of decision-making; contribute to data quality checks and documentation for metric definitions.
• Lead ad hoc deep-dives on business questions; transform analysis into crisp, executive-ready storytelling with a point of view and next steps.
• Collaborate with Analytics Engineering and Data partners to improve upstream data assets; advocate for reliable pipelines and well-documented semantic layers.
• Partner with Finance to drive profitable, scalable growth—align on national and DMA level pacing, forecasting, ROI/IRR read; translating insights into clear recommendations that influence prioritization and tradeoffs.
• Partner with RGTM and Consumer teams to track funnel and lifecycle outcomes and quantify consumer impact on merchant performance
• Define and standardize Consumer KPIs and metric definitions; align with Finance and Product on a single source of truth for core metrics and drivers.

Consumer Intelligence Analyst

Product Analyst

• Support Consumer Product team with KPI reporting, setting OKRs, and preparing for regular product reviews
• Shape the product roadmap through exploratory analysis and hypothesis generation grounded in our growth objectives
• Conduct root-cause investigations and pre/post analyses to understand the “why?” behind user behavior and product performance
• Contribute to forecasting by estimating and then measuring the revenue impact of product initiatives
• Build intuitive dashboards and data products that bring clarity to complex user journeys and product KPIs
• Partner with Product and Engineering to define, QA, and document events and properties that enable product analytics, ensuring robust instrumentation for experimentation and monitoring
• Design, launch, and analyze A/B tests across the Upside consumer app in collaboration with product managers, engineers, and designers including clear test plans, power calculations, and experiment swimlanes
• Bring curiosity, initiative, and strong product thinking to help us scale experimentation and analytics best practices across Upside

Senior Product Analyst

Full-stack Engineer

• Build, maintain, and optimize partner-facing APIs and integrations
• Develop resilient Python services and contribute to Java partner/internal services
• Troubleshoot integrations, investigate data, and improve reliability and performance
• Shape reusable tooling to accelerate partner onboarding and enablement
• Partner deeply with cross-functional teams (marketing, data science, design) to align technical solutions
• Drive quality through documentation, observability improvements, and clear delivery expectations
• Own technical relationships across vetting, launching, growing, and maintaining partner lifecycle

Software Engineer II

• Gather the right context and take thoughtful, calculated risks to move quickly and make informed decisions
• Understand the 'why' behind what is built and make technical choices accordingly
• Improve systems and deliver real business impact through their work
• Cultivate a collaborative and safe environment; speak up to name problems and drive solutions
• Learn and innovate to improve system quality, security, performance, and speed of execution
• Partner deeply with cross functional teams (marketing, data science, designers) to turn insights into technical action
• Drive quality through documentation; record decisions and communicate tradeoffs
• Set clear expectations on delivery and keep close alignment when milestones shift
• Work with technology stack including mobile frameworks and AWS services, integrate AI tools across SDLC

Mobile Software Engineer II

• Lead autonomous engineering teams (3–9 people) in designing, building, and deploying complex digital platforms.
• Drive architecture and technology choices for large-scale systems.
• Mentor engineers, foster technical excellence, knowledge sharing, and a collaborative culture.
• Partner directly with clients, technology leaders, and founders to co-create impactful solutions.
• Balance technical depth with business context to deliver long-term value.
• Ensure engineering best practices, code quality, and CI/CD pipelines are consistently applied.
• Stay close to AI/ML solutions and identify opportunities to integrate them into client solutions.

Staff Software Engineer

Account Manager

• Lead the development of strategic account plans to retain and grow partnerships with major fuel and c-store brands
• Develop detailed knowledge of the product and coordinate with internal partners
• Strengthen client relationships through informative reporting and outstanding service
• Ensure clients receive excess value from the Upside platform
• Collaborate with analytics, product, marketing, and operations to represent the voice of the customer and achieve business growth
• Report to Manager, Account Management
• Work with clients through onboarding to long-term account management, cultivating trust and belief throughout their partnership
• Improve retention through platform education using customized decks and data
• Proactively predict and address concerns before they advance to churn risk
• Grow relationships and supervise account-health metrics (CSAT, Retention, and Growth)
• Identify and close expansion opportunities, including adding more sites and c-store launches
• Lead monthly account reviews, interpreting raw account data to build performance reports, case studies, and white papers
• Maintain account health at multiple levels across client businesses, including senior executives of Fortune 500 companies
• Collaborate effectively with internal Upside teams to ensure a consistent, positive experience for customers

Strategic Account Manager

Backend Engineer

• 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

• 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

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.