Extend helps brands turn shopper behavior into operational and financial advantage. Our platform transforms post-purchase customer data into real-time intelligence, allowing merchants to dynamically…
Extend helps brands turn shopper behavior into operational and financial advantage. Our platform transforms post-purchase customer data into real-time intelligence, allowing merchants to dynamically…
Core product: API-first product protection, returns/delivery and shopper-operations platform
Unicorn status: Valued ≈ $1.6B after May 2021 Series C
Notable backers: SoftBank, PayPal, American Express, Nationwide
Company Overview
Problem Domain
Post-purchase commerce operations (product protection, returns/exchanges, delivery, and shopper operations) for merchants and brands.
Founded
2019
Industry
Commerce technology / Insurtech / Retail SaaS
Funding Track Record
Series C- May 18, 2021
260000000
Valued the company at roughly $1.6 billion
Investor Signal
“Backed by strategic and financial investors including SoftBank, PayPal, American Express/Amex Ventures, Nationwide, Meritech Capital”
Founders
What we do
Join the Team
Engineering Manager
RemoteUnited States, US
Remote • United States, US
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Who you are
10+ years of experience in software development, including building and operating production systems in high-volume transactional domains (e.g., e‑commerce, payments, logistics, insurance, or post‑purchase/claims flows)
3+ years of experience as an Engineering Leader (Manager, Director, or equivalent) directly managing engineers and owning delivery for a team or product area
Deep understanding of service‑oriented and microservice architectures, with practical experience designing event‑driven systems that prioritize reliability, observability, and data integrity across distributed services
Experience with cloud-native and serverless architectures and infrastructure as code, ideally on AWS (e.g., Lambda, API Gateway, DynamoDB, SQS/SNS, Kafka, CDK or similar)
Demonstrated ability to partner with Product, Design, and Operations to define roadmaps and ship impactful features in complex business domains
Proven track record of building, growing, and leading high-performing engineering teams, including hiring, performance management, and mentoring across experience levels
Experience leveraging AI/LLM-based tools within engineering teams, and an aptitude for applying AI thoughtfully to operational and customer-facing workflows
Strong cross-functional collaboration skills, with the ability to work effectively with stakeholders in Operations, Merchant Success, Risk/Fraud, to balance customer experience, operational efficiency, and financial outcomes
Highly developed interpersonal and communication skills, with the ability to translate between technical and non-technical audiences, clearly articulate tradeoffs, and build consensus
Experience fostering a culture of quality and operational excellence (testing strategy, CI/CD, on-call, incident management, SLOs) in systems that handle money movement, shipping, or customer entitlements
Proactive leadership style: comfortable navigating ambiguity, identifying new opportunities, and driving initiatives from concept through execution
Ability to lead and support engineers working remotely across multiple locations and time zones
What the job involves
Startup jobs. A lot of them.
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People Development & Mentorship: Actively coach and mentor a team of engineers, fostering their career growth through personalized development plans, regular 1:1s, and actionable feedback loops
Technical Excellence & Oversight: Provide technical guidance and architectural oversight for event-driven, service-oriented systems that power claim servicing, refunds, exchanges and reverse logistics, ensuring the team builds scalable, maintainable, and high-quality software
Product Partnership: Collaborate closely with Product Managers, Designers, and Operations leaders to define the roadmap for claim servicing and fulfillment, translate business requirements into technical specifications, and ensure the team is creating the right value and solving the right problems related to post-purchase customer experiences
Delivery & Execution: Own the end-to-end delivery of complex features and projects utilizing Agile methodologies and an AI-native SDLC to maintain a predictable shipping cadence while balancing speed, quality, and operational impact
Culture: Cultivate a high-trust, collaborative environment where engineers are empowered to take risks, share ideas, and drive outcomes, with a strong sense of ownership over the reliability and usability of our post-purchase flows
AI Adoption & Innovation: Drive the strategic adoption of AI across the team by championing an AI-native SDLC while also partnering with product teams to define and deliver AI-native product capabilities
Operational Excellence: Drive the team’s operational standards—including on-call rotations, incident response, monitoring, alerting, and automated testing—to ensure the reliability, performance, and correctness of claim fulfillment flows
Process Optimization: Continuously evaluate and improve engineering workflows (e.g., planning, solution design, CI/CD pipelines, code review processes, sprint planning) to remove bottlenecks, increase developer velocity, and ensure quality
Stakeholder Communication: Serve as the primary point of communication for the team, effectively managing expectations with leadership and cross-functional partners regarding timelines, tradeoffs, risks, and capacity allocation