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Salary: USD 140,000 - 160,000 / annual
Extend is a B2B SaaS platform revolutionizing the post-purchase experience for retailers through AI-driven solutions. The company provides merchants with automated customer service, returns/exchange management, end-to-end fulfillment automation, product protection, shipping protection, and fraud detection. Extend works with over 1,000 leading merchant partners across fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, and sports industries, and is backed by prominent technology investors with headquarters in San Francisco.
As a Software Engineer II on the Fulfillments team, you will build and ship features across all aspects of fulfillment and servicing, including refunds, replacements, and reverse logistics. You'll own features end-to-end from design through building, deployment, release, and monitoring. Key responsibilities include:
- Building scalable, event-driven, AI-native applications that elevate customer experience
- Developing single-page applications in partnership with design, owning client and server state management
- Collaborating with senior engineers and platform teams on system design, raising risks and tradeoffs early
- Building, testing, and monitoring AI/agentic features in production with attention to quality and safety
- Using AI developer tooling daily to ship more effectively and sharing best practices with the team
- Identifying and proposing proactive investments such as refactors, observability improvements, and upgrades
- Communicating clearly with product, design, solutions, and engineering teams to align work with business goals
- Taking on ambiguous problems with growing independence
You'll work closely with cross-functional teams in product, design, operations, delivery, and the broader engineering organization in a culture focused on innovation, continuous improvement, and excellence.
**Requirements:**
- 4+ years of full-stack software development experience
- Hands-on production experience building systems on AWS, including serverless architectures
- Demonstrated experience shipping AI/LLM features to production
- Solid grasp of API design, versioning, idempotency, and backwards compatibility, particularly in contexts where events drive money movement or fulfillment
- Track record of owning features end-to-end and working through ambiguous problems with limited direction
- Experience building production single-page applications with modern state management and close collaboration with designers
- Sound data modeling skills and working understanding of context engineering for agentic features
- Daily fluency with AI developer tooling and habit of sharing effective practices with teammates
- Willingness to raise concerns early and push back with data
- Clear communication across product, business stakeholders, designers, support, and engineers
- Ability to form clear opinions and advocate for them
