Location: Remote (United States)
Work Model: Remote
Industry: AI Infrastructure / Data Infrastructure / SaaS
Compensation: $190,000-$215,000 base salary + meaningful early-stage equity (target total compensation up to ~$250K-$260K)
The OpportunityOur partner is hiring Senior Full Stack Engineers to help build the next generation of their product. This is a backend-heavy product engineering role focused on developing customer-facing features, building scalable data movement systems, and solving complex engineering problems that directly impact customers.
This isn't an environment where engineers simply work through tickets. The team is looking for builders who enjoy shaping product direction, collaborating closely with customers, and using AI as a core part of their development workflow. You'll work alongside experienced engineers in a highly collaborative environment where ownership, initiative, and product thinking are expected from day one.
Responsibilities- Design, build, and maintain full-stack product features with an emphasis on backend systems
- Develop scalable data movement pipelines and workflow automation capabilities
- Partner with product, engineering, and occasionally customers to solve real-world technical challenges
- Contribute to product direction by providing thoughtful technical feedback and implementation ideas
- Build AI-enabled product capabilities and incorporate modern AI tooling into daily development workflows
- Write clean, maintainable TypeScript code across frontend and backend services
- Help improve platform performance, reliability, and developer experience
RequirementsNice to Have
- 5-7+ years of professional software engineering experience (4 years minimum considered)
- Strong experience building full-stack applications using TypeScript and React
- Experience developing backend systems, APIs, and data-intensive applications
- Product-minded engineer who enjoys solving customer problems-not just implementing requirements
- Comfortable working in fast-paced startup environments with significant ownership
- Demonstrated use of AI tools within your engineering workflow
- Strong communication skills and willingness to collaborate across product and engineering teams
- Experience with ETL, data movement, workflow orchestration, or pipeline development
- Experience with browser automation, web scraping, or automation tooling
- Experience working with AI agents or modern LLM frameworks
- Familiarity with AWS, Postgres, or Temporal
