Staff Innovation Engineer, Marketplace

Quick Facts

• Hands-on role focused on backend/distributed systems, marketplace platform primitives, and AI-native workflows
• Build reusable microservices and asynchronous workflow orchestration
• Launch new product pilots with customers and iterate weekly; improve adoption of live products

Description

Design and build durable, reusable services that Marketplace products depend on using fine-grained microservices and asynchronous workflow orchestration. Partner with customers to scope problems, ship working pilots quickly, iterate weekly from feedback, and optimize adoption of products already in market. Build AI-native agent harnesses and layered prompting systems to automate document-driven workflows, backed by internal evaluation tooling to improve results before and after launch.

Responsibilities

• Design and implement platform primitives such as purchase orders, contract terms, invoicing rails, and workflow/status state machines
• Deliver services judged on maintainability, scalability, reliability, and flexibility
• New product bets: validate hypotheses, ship a working version within ~30 days, and iterate weekly with customer input
• Adoption & optimization: improve quality and customer workflows/click paths for launched products
• AI-native development: build agent harnesses and layered prompting systems for unstructured document extraction and reasoning
• Use AWS Textract and/or GCP Document AI and choose the right model/tooling (e.g., Claude, Gemini, OpenAI) for accuracy and cost
• Build internal eval tooling to test and improve AI/agent systems before and after they ship
• Mentor engineers through code review and pairing; contribute to architecture decisions
• Maintain service and product-API boundaries as the team scales

Requirements

• 7+ years of software engineering experience
• Strong backend and distributed-systems fundamentals for building reliable, maintainable services and APIs
• Hands-on experience shipping 0-to-1 features/products with real customers in a fast-iteration environment
• Experience integrating multiple LLM providers and document-extraction tooling
• Experience building agent harnesses, RAG pipelines, and evaluation/testing practices for trustworthy AI systems
• Ability to work across the stack as needed (full-stack capable)
• Preference for close collaboration with product and iterative customer-driven development

Benefits

• Salary range: $180,000–$240,000 USD per year
• Equity via stock options
• Medical, dental, and vision coverage
• Unlimited PTO
• Learning Grant program for ongoing professional development
• 401(k) with match and expedited vesting (US only)
• Competitive benefits package and equity, with a safe and inclusive work environment

Travel Requirement

• If not based in the Nashville area, travel to the Nashville office at least twice per year for company gatherings