--- title: 'Manager, Analytics Engineering at Extend' canonical: 'https://feeny.ai/job/manager-analytics-engineering-extend-remote-fkfje9wx3c10' type: 'job' last_seen: '2026-10-12' --- # Manager, Analytics Engineering at Extend - **Company:** Extend - **Location:** Remote - **Work type:** remote - **Posted:** 2026-09-30 - **Last confirmed live:** 2026-10-12 - **Apply:** https://job-boards.greenhouse.io/extend/jobs/6211386004 ## Job description About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: Extend powers product protection, shipping protection, and warranty programs for hundreds of merchants. The data those programs generate drives pricing and actuarial modeling, risk and loss analysis, fraud detection, product and merchant analytics, and financial and revenue reporting. The Analytics Engineering team owns the platform behind all of it: the Snowflake warehouse and dbt repository the company reports from, the ingestion that feeds them, and the pipelines and monitoring that keep them running. Analytics, Actuarial, Risk, Fraud, Product, Operations, Finance, Accounting, and Revenue all build on what this team produces. We’re looking for a Manager, Analytics Engineering to lead that team. You’ll report to our Senior Engineering Manager, Data Engineering. The role is hands-on, leading a remote team of analytics and data engineers. What You’ll Do: - Manage and grow the team. Hiring, onboarding, career development, and performance. - Set the technical bar and own the dbt repository as a shared platform. Review pull requests, make the architecture calls, and set the standard for tests, documentation, and CI for your team and for every team that ships models into the repo. Partner teams own the business logic in their models; you own the platform and standards they ship into. Keep change control rigorous and fast. - Own the warehouse and pipelines. Snowflake, dbt, source ingestion and freshness, external tables, and the AWS Glue/CDK jobs that feed them. - Model the core business domains. Orders, contracts, claims, and service orders, defined once so actuarial, risk, fraud, product, and finance all get the same answer. Evolve these models as upstream product systems change, and consolidate warehouse modeling onto the shared platform. - Evolve the platform. Lead platform migrations, including moving dbt execution to Snowflake-native tooling, and retire legacy components on a planned timeline. - Partner across the business. Build trusted relationships with internal stakeholders by translating their questions into models, aligning them on shared definitions, and shaping roadmap priorities so the platform serves the whole business. - Harden data quality. Schema validation that quarantines bad records without interrupting scheduled refreshes, plus freshness and critical-service audits with named owners. - Run platform operations. On-call, monitoring, alerting, incident triage, and root-cause follow-through. - Enable self-service. Documentation, semantic consistency, and BI access so partners can answer their own questions. - Automate operational work. Extend the AI-assisted workflows already running in production for alert triage, refresh requests, and file processing. What We’re Looking For: - 2+ years managing engineers. Hiring, performance, and career development on a data or analytics engineering team. Prior management experience is expected, though we will consider lead engineers who have owned technical direction and developed the engineers around them. - Advanced SQL and dimensional modeling. You have modeled a business domain for consumers with competing needs and kept it consistent as requirements changed. - Deep dbt experience. You have owned a repository under version control with testing, PR review, CI, and change control, and you set that standard rather than working within one. - Pipeline engineering. Python and cloud data infrastructure. We run on AWS with Glue, Step Functions, Lambda, and CDK. - Reliability ownership. You have run on-call for a data platform, built alerting that teams trust, and led incident response. - Analytical partnership. You’ve supported analysts, data scientists, or quantitative teams, and can translate a business question into a data model. - Clear written communication. Architecture proposals, incident reviews, and candid tradeoff summaries for partners with different priorities. - Prioritization judgment. You prioritize deliberately across many requests and communicate the tradeoffs clearly. - Bonus: actuarial, risk, or fraud analytics; warranty, insurance, or service-contract programs; financial and revenue reporting; privacy and deletion compliance at scale; BI administration; or AI-assisted engineering workflows. Expected Pay Range: $165,000 - $195,000 per year salaried* *The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. Extend does not provide immigration-related sponsorship for this role. Life at Extend: - Working with a great team from diverse backgrounds in a collaborative and supportive environment. - Competitive salary based on experience, with full medical and dental & vision benefits. - Stock in an early-stage startup growing quickly. - Generous, flexible paid time off policy. - 401(k) with Financial Guidance from Morgan Stanley. [Extend CCPA HR Notice](https://drive.google.com/file/d/1z8If6mE5Xlf6prfJDScpziEjDEdHvq_K/view?usp=sharing) ## About Extend ## Company Overview - **One-liner**: Extend provides API-first product and shipping protection technology that helps brands turn post-purchase customer data into real-time intelligence to reduce fraud, protect margins, and increase loyalty. - **Entity Type**: Private (Series C, backed by strategic investors) - **Headquarters**: San Francisco, California, United States - **Founded**: 2019 - **Founders**: Not explicitly listed in the provided data, but Joe Moss is listed as Founder and CPO on LinkedIn. ## Core Business - **Primary industry/industries**: Fintech / Insurtech (product protection, shipping protection, warranty services) - **Target customers**: B2B – e-commerce merchants, manufacturers, and retailers (SMB to Enterprise) - **Mission or purpose statement**: “Protect what people love” – reviving the product protection industry with modern, API-first technology. ## Products & Services - **Shipping Protection**: Embedded protection for shipments, offering zero cost to merchants and pure profit from plan sales. - **Product Protection & Extended Warranties**: API-first protection solutions for a wide range of products (apparel, beauty, furniture, electronics, etc.). - **Returns & Exchange Optimization**: Dynamic policies that reduce abuse and improve customer experience. - **Fraud & Risk Analytics**: Real-time shopper analysis and claim automation to contain support costs and fraud. ## Market Standing - **Valuation**: Exceeding $1.5 billion (as per LinkedIn, likely from Series C round in 2021). - **Key Metric**: Total funding of $320.4M (Series C led by SoftBank Vision Fund for $260M, plus earlier rounds). - **Annual Revenue**: $15.7M (LinkedIn estimate; note: company may not disclose exact ARR). - **Notable Investors/Partners**: SoftBank, PayPal, AMEX, Nationwide, Meritech Capital Partners, GreatPoint Ventures. - **Growth Signals**: - 1,200+ merchant partners including Peloton, Tonal, Casper, Sonos, Michaels, Ashley Furniture, Oura. - Headcount grew 7.8% YoY to 211 employees. - Acquired Aon Warranty Solutions (EXTEND WARRANTY SERVICES LIMITED and EXTEND SERVICES LIMITED). - Launched in 2022 (likely new product lines or expansion). ## Competitive Advantages - **API-first embedded platform** that seamlessly integrates with existing e-commerce systems. - **Real-time data intelligence** to differentiate customers by value and risk, enabling dynamic policies. - **Zero-cost model** for merchants – revenue generated from protection plan sales. - **Strategic backing** from major financial and insurance players (SoftBank, PayPal, AMEX, Nationwide). - **Strong customer outcomes**: +61% average lift in customer LTV, +46% in average order value, +5% incremental revenue. ## Strategic Focus - Continue expanding merchant partnerships and product categories (apparel, beauty, furniture, fine jewelry, etc.). - Deepen AI/ML capabilities for fraud detection and personalized customer experiences (open roles for Senior Machine Learning Data Scientist, Manager, Machine Learning). - Scale operations globally (presence in Canada, Philippines, Lebanon) and grow the remote-first workforce. - Integrate recent acquisitions to enhance warranty and protection services. ## Why Work Here - **Culture**: “Win together,” “Embrace transparency, earn trust,” “Control your own destiny,” “Think big, drive change,” “Wow every customer.” - **Workplace**: Remote & hybrid options; hub in San Francisco. Flexible vacation policy, paid company holidays. - **Benefits**: Comprehensive medical, dental, vision; 401(k) program; competitive salary and stock options; paid parental leave; LinkedIn Learning subscriptions; Employee Resource Groups. - **Engineering culture**: Emphasis on ownership, collaboration, and using technology to modernize a legacy industry. Open roles across Data Engineering, Product Engineering, Machine Learning, Security, and Developer Experience. - **Growth**: Fast-growing startup with strong financial backing and a clear mission – opportunity to make a significant impact. ## Sources 1. [extend.com/careers](https://www.extend.com/careers) 2. [extend.com/life-at-extend](https://www.extend.com/life-at-extend) 3. [extend.com](https://www.extend.com/) 4. [job-boards.greenhouse.io/extend](https://job-boards.greenhouse.io/extend) 5. [linkedin.com/company/helloextend](https://www.linkedin.com/company/helloextend) ## Other roles at Extend - [Director of Revenue Operations](https://feeny.ai/job/director-of-revenue-operations-extend-san-francisco-byrmst5vgvcm) — San Francisco, CA - [Senior Data Platform Engineer, Enterprise Merchant Integrations](https://feeny.ai/job/senior-data-platform-engineer-enterprise-merchant-integrations-extend-remote-bg8jqk038gxd) - [Account Manager, Enterprise Growth Strategy](https://feeny.ai/job/account-manager-enterprise-growth-strategy-extend-united-states-6h8x3z5a1nmv) — United States - [Senior Analytics Engineer, Financial Systems Engineering](https://feeny.ai/job/senior-analytics-engineer-financial-systems-engineering-extend-remote-yvzp5vs1zg5m) - [Director, Financial Systems Engineering](https://feeny.ai/job/director-financial-systems-engineering-extend-remote-vzftp8v3mjte) - [Account Executive, Corporate Enterprise](https://feeny.ai/job/account-executive-corporate-enterprise-extend-san-francisco-cxdtdfsmqkps) — San Francisco, CA - [Manager, Fraud Intelligence](https://feeny.ai/job/manager-fraud-intelligence-extend-united-states-xqcdhq16y9p4) — United States - [Senior Manager or Director, People](https://feeny.ai/job/senior-manager-or-director-people-extend-united-states-gjk1h8vxveh0) — United States - [Senior Machine Learning Data Scientist](https://feeny.ai/job/senior-machine-learning-data-scientist-extend-united-states-4s07cv91wdx2) — United States - [Engineering Manager - Servicing & Fulfillment](https://feeny.ai/job/engineering-manager-servicing-fulfillment-extend-united-states-x52grk1svfry) — United States