Full Stack Engineer, GTM Systems

Position: Staff Full Stack Engineer, GTM Systems
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:

Upside is building a new generation of internal platforms that help our go-to-market teams operate more efficiently and make better decisions. In this role, you will design and build AI-native systems that improve how revenue teams manage pipeline, analyze performance, and automate operational workflows.

Reporting to the Sr. Director of Revenue Operations, you will work at the intersection of engineering, AI, and business operations, building systems that support how Upside acquires merchants, serves partners, and scales its go-to-market motion. You will help define the architecture and technical direction of these platforms as they evolve.

This role is a strong fit for engineers who are curious about how GTM teams operate and enjoy translating business workflows into reliable, well-designed software systems. The ideal candidate has fully embraced and applied modern AI tools and automation to real operational challenges and enjoys owning systems end-to-end.

What you'll do:

* Build high-impact applications and tools that accelerate Upside's go-to-market motion. Develop AI-native tools that help revenue teams manage pipeline, analyze performance, and automate operational workflows

* Partner deeply with cross-functional teams to understand business workflows and translate them into scalable technical solutions. Prototype, iterate, ship and maintain

* Own systems end-to-end. Design across the stack from front-end interfaces to backend services, automation pipelines, and AI orchestration layers

* Continuously improve the systems you build. Identify opportunities to increase reliability, performance, and scalability while reducing manual work for the teams that rely on these tools

* Strong understanding of prompt design and prompt engineering as a core part of building AI-powered systems, including structuring prompts, evaluating outputs, and iterating on prompt strategies to improve reliability and quality

* Drive quality through clear communication and documentation. Record design decisions, communicate tradeoffs, and ensure others can build upon your work

* Deliver reliably and transparently. Set clear expectations, communicate progress, and keep stakeholders aligned as priorities evolve

What we're looking for:

* 8+ years of professional software engineering experience, with demonstrated depth in full-stack development (React/Type Script plus backend/database experience)

* Deep experience using AI-assisted development tools to improve engineering velocity and quality

* Experience building applications or systems that leverage LLMs, AI APIs, or modern AI frameworks

* Experience designing and owning internal platforms or operational systems end-to-end

* Familiarity with modern deployment and infrastructure platforms (such as Supabase, Vercel, or similar environments)

* Strong product intuition and the ability to translate business workflows into well-architected technical solutions

* Track record of leading projects, mentoring teammates, and delivering measurable outcomes

* Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders

Nice to have

* Experience working with CRM systems or revenue platforms (Salesforce, Hub Spot, or similar)

* Experience in marketplace or high growth-stage SaaS environments

* Familiarity with retrieval-augmented generation (RAG), vector databases, and embedding-based search

* Experience working with modern data platforms such as Snowflake

Technology Stack:

We don't require experience with all of these technologies, but we're excited to work with engineers who have experience in or are interested in learning:
React, Type Script, Next.js, Python (FastAPI), Postgre

SQL, Supabase, Vercel, and modern API-driven architectures. We also leverage numerous AI tools across our development workflow, including OpenAI and Git Hub Copilot.

Location:

This hybrid role is based in our Austin, Chicago, DC, or NYC office. In-office attendance is required on Monday, Tuesday, and Thursday and may increase based on project-based needs and changes to Upside's in-office policy over time.

Compensation:

The US base salary range for this full-time position is $214,000 - $245,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work…