We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.
Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.
How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.
Requirements: What you'll need to thrive in this role
Full-Stack Software Engineering Expertise: Demonstrated track record of delivering end-to-end products with strong proficiency in React and Next.js..
Hands-on AI Agent Development: Practical experience leveraging tools like Claude Code, Codex, or Cursor, paired with a solid grasp of agentic infrastructure, custom tooling, and MCP server integrations.
Solid understanding of data concepts: (SQL, familiarity with data warehouses like BigQuery/Snowflake).
DevOps & Infrastructure fluency: Familiarity with Docker, CI/CD pipelines, Cloud Run (or equivalent serverless execution environments), and API workflow orchestration tools (like n8n or Zapier).
Mindset & Execution
"Builder" Energy: You bring a proactive, hands-on approach to your work. You prioritize shipping high-value, functional tools to solve problems quickly, rather than waiting for ready-made PRD docs or perfect specifications. You prefer building and iterating to drive progress and impact.
Business & Product Curiosity: You care about why a tool is being built and how teams across Product, GTM, and Operations will use it to make better decisions and drive business value.
Architectural Judgment: You can hold complex system integrations in your head, understand how web apps and AI services interact with data layers, and choose simple, resilient solutions over over-engineered ones.
High Ownership: High autonomy. You are comfortable running your own priorities, communicating trade-offs to executives, and guiding the technical direction of internal software.
Bonus points if you have
Hands-on experience building or tuning LLM/AI agent workflows, prompt architecture, or MCP servers.
Experience developing internal tooling, data products, or SaaS features for Product, Revenue Operations, or GTM teams.
Exposure to self-hosted tools like Metabase, LibreChat, or n8n.
This position is open to all candidates.