Full Stack Engineer
Budget / Salary$190,000–215,000
TypeFull-time job
LocationUnited States
Posted2 hours ago
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)
About the Company
Our partner is a rapidly growing, venture-backed AI infrastructure startup building the technology that enables software companies to migrate customer data between complex systems quickly and reliably. Their platform automates one of the most difficult problems in enterprise software adoption—moving and transforming data across CRMs, ERPs, and other systems of record—allowing customers to onboard in hours instead of weeks.
The company has experienced exceptional growth, increasing revenue nearly 4x in the first half of the year, and is now scaling both its engineering and go-to-market teams. Their product sits at the intersection of AI, data infrastructure, and workflow automation, solving technically challenging problems for a growing customer base.
The Opportunity
Our 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
Requirements
Nice 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
Originally posted on Himalayas
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)
About the Company
Our partner is a rapidly growing, venture-backed AI infrastructure startup building the technology that enables software companies to migrate customer data between complex systems quickly and reliably. Their platform automates one of the most difficult problems in enterprise software adoption—moving and transforming data across CRMs, ERPs, and other systems of record—allowing customers to onboard in hours instead of weeks.
The company has experienced exceptional growth, increasing revenue nearly 4x in the first half of the year, and is now scaling both its engineering and go-to-market teams. Their product sits at the intersection of AI, data infrastructure, and workflow automation, solving technically challenging problems for a growing customer base.
The Opportunity
Our 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
Requirements
Nice 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
Originally posted on Himalayas
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