Staff Full Stack Engineer, GTM Systems

Upside•Austin, TX

6d•$214,000 - $245,000•Hybrid

About The Position

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.

Requirements

8+ years of professional software engineering experience, with demonstrated depth in full-stack development (React/TypeScript 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 Haves

Experience working with CRM systems or revenue platforms (Salesforce, HubSpot, 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

Responsibilities

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