--- title: 'Lifecycle Marketing Lead - Insurance at Fabric' canonical: 'https://feeny.ai/job/lifecycle-marketing-lead-insurance-fabric-new-york-h4zkym5941ab' type: 'job' last_seen: '2026-10-18' --- # Lifecycle Marketing Lead - Insurance at Fabric - **Company:** Fabric - **Location:** New York, NY - **Work type:** remote - **Posted:** 2026-09-21 - **Last confirmed live:** 2026-10-18 - **Apply:** https://job-boards.greenhouse.io/fabric83/jobs/7998600003 ## Job description Lifecycle Marketing Lead, Insurance ## About the Role We are looking for an experienced Lifecycle Marketing Lead to own and evolve lifecycle marketing for our insurance business. This person will be responsible for developing customer communication strategies across the lifecycle, improving segmentation and personalization, identifying cross-sell opportunities, and ensuring our marketing technology and customer data are being used effectively. This is a highly cross-functional role at the intersection of marketing, product, data, design, and technology. The ideal candidate combines strong lifecycle marketing expertise with enough technical fluency to work effectively with data and platform teams. They do not need to be a data scientist or engineer, but they should know how to ask the right questions, translate customer and business needs into data requirements, and turn those insights into effective marketing programs. Experience in insurance or another complex, regulated consumer business is strongly preferred. ## What You'll Do Own Lifecycle Marketing for the Insurance Business - Develop and execute lifecycle marketing strategies across key stages of the insurance customer journey, from prospect nurturing and conversion through onboarding, engagement, retention, and cross-sell. - Identify opportunities to improve the relevance, timing, and effectiveness of customer communications. - Build and optimize automated, trigger-based, and behaviorally driven marketing programs. - Establish testing and optimization roadmaps to continuously improve customer engagement and business outcomes. Drive Segmentation and Personalization - Partner closely with Data Science and Analytics teams to develop and refine customer personas, audiences, and segmentation strategies. - Help frame the right business and customer questions for the data team, translating marketing objectives into actionable data requirements. - Use customer attributes, behaviors, product ownership, lifecycle stage, and other signals to improve targeting and personalization. - Work with teams leveraging BI tools and other customer data sources to make relevant data accessible and actionable within marketing platforms. - Develop a strong understanding of the customer data ecosystem, including both modern data sources and legacy environments, without needing to directly perform data engineering or advanced analytics. Develop Cross-Sell Opportunities - Identify opportunities to introduce customers to additional insurance products and relevant offerings throughout the customer lifecycle. - Partner with Product, Data Science, and business teams to determine the right customer, product, message, and timing for cross-sell experiences. - Build programs that balance business objectives with customer relevance and experience. - Measure and optimize cross-sell journeys over time. Work Cross-Functionally - Build strong relationships across Marketing, Product, Data Science, Analytics, Engineering, Design, Compliance, and insurance business teams. - Coordinate stakeholders to move complex lifecycle initiatives from strategy through execution. - Clearly communicate requirements, priorities, tradeoffs, and results to both technical and non-technical audiences. - Navigate the regulatory and operational considerations associated with communicating with insurance customers. ## What We're Looking For Required Qualifications - Significant experience in lifecycle marketing, CRM, customer engagement, or marketing automation. - Hands-on experience working with Braze, Salesforce Marketing Cloud, or a comparable enterprise lifecycle marketing platform. - Demonstrated experience developing automated and personalized customer journeys. - Strong understanding of customer segmentation, targeting, experimentation, and personalization. - Experience partnering with Data Science, Analytics, or data engineering teams to turn marketing questions into actionable audiences and customer experiences. - Ability to understand customer data models and data flows without needing to personally perform advanced analytics or data engineering. - Experience partnering closely with Product teams in a digital or consumer-focused organization. - Experience managing or directing the design and evolution of customer communications. - Strong cross-functional project leadership and stakeholder management skills. - Excellent communication skills, including the ability to bridge business, marketing, product, and technical teams. ## Preferred Qualifications - Experience in insurance, financial services, or another highly regulated consumer industry. - Experience developing cross-sell or multi-product customer strategies. - Experience with Braze specifically. - Familiarity with data environments and experience operating across evolving data architectures. - Experience participating in or leading a CRM, marketing automation, or customer engagement platform migration. - Experience working within a sophisticated customer data ecosystem spanning multiple products, platforms, and data sources. What Success Looks Like The successful candidate will develop a deep understanding of our insurance customers and create more relevant, personalized experiences throughout their relationship with us. They will help strengthen the connection between customer data, product experiences, and marketing communications; make it easier to activate meaningful customer segments; expand our lifecycle and cross-sell capabilities; and continue maturing the technology and processes that support our insurance marketing organization. We are looking for candidates in the greater NYC area, as this position is Hybrid and will require an in-person presence a few days a week at our offices in Brooklyn, NY. Salary: $140,000 - $160,000 ## About Fabric ## Company Overview - **One-liner**: Fabric provides an agentic commerce platform that helps brands and retailers optimize, manage, and activate product data across every channel using AI‑powered automation. - **Entity Type**: Private (Series C, 2022) - **Headquarters**: Seattle, Washington, United States - **Founded**: 2017 - **Founders**: Not publicly disclosed (CEO: Faisal Masud) ## Core Business - **Primary industry/industries**: Digital commerce software, headless commerce, AI‑powered product optimization - **Target customers**: Mid‑market to enterprise brands and retailers (e.g., GNC, Chico’s, McDonald’s, The Honest Company) – B2B - **Mission or purpose statement**: “Revolutionize commerce for everyone” – creating intelligent, adaptive, and human‑centered commerce systems that bridge human intent and machine capability. ## Products & Services - **fabric NEON**: The company’s flagship agentic commerce platform. Uses a specialized AI model to monitor, optimize, and activate product data across all demand channels. - **Product Agent**: An autonomous system that handles the full product lifecycle – enrichment, catalog management, pricing, and personalization – acting as an intelligent collaborator for commerce teams. - **Activate**: A module to onboard new SKUs faster and enrich product data with intent signals from leading category prompts. - **Integrations**: Flexible input/output options including CSV, Shopify, ChatGPT (ACP), and the Universal Commerce Protocol (UCP), plus 300+ commerce APIs and an orchestration framework. ## Market Standing - **Valuation/Market Cap**: ~$1.5 billion (post‑money, February 2022 Series C) - **Key Metric**: - **Annual Revenue**: $16.8 million (LinkedIn estimate, 2025) - **Total Funding**: $293.5 million across six rounds (Seed, Series A, B, C) - **Notable Investors/Partners**: SoftBank Vision Fund 2 (lead Series C), Norwest Venture Partners, Stripes, Redpoint Ventures, Forerunner Ventures, Glynn Capital, B Capital Group, Greycroft, Sierra Ventures, Expa, and others. - **Growth Signals**: - 260 % YoY gross merchandising value (GMV) growth - 277 % YoY transaction growth - 1 billion+ API calls in 2024 with <50 ms latency for core storefront services - 4.5 x YoY revenue growth in 2021 - 96 employees (‑2.5 % YoY), operating across 15 countries ## Competitive Advantages - **API‑first, headless architecture** – lets merchants keep their existing tech stack and go live in months without replatforming. - **Agentic commerce pioneer** – first‑mover with a commerce‑specific AI model (NEON) that understands SKUs, categories, and retail context. - **Modular and open** – 300+ APIs and a marketplace allow infinite customization and integration. - **Proven enterprise traction** – signed customers like McDonald’s, The Honest Company, Chico’s, and GNC. ## Strategic Focus - Accelerating the shift to “agentic commerce” – building autonomous systems that handle product, pricing, logistics, and marketing. - Deepening AI capabilities with the fabric NEON model and Product Agent. - Geographic expansion (notably APAC via a head in India) and leveraging automation to scale. ## Why Work Here - **Culture**: “Trust is our #1 value” – the company emphasises curiosity, collaboration, mutual respect, and continuous learning. Team members are driven by customer success. - **Work environment**: Distributed workforce across 15 countries; remote/hybrid‑friendly (not explicitly mandated). - **Engineering culture**: Modern architecture (API‑first, cloud‑native), work on cutting‑edge AI for commerce, low‑latency systems, and high‑scale API traffic (1 B+ calls/year). - **Perks**: Not detailed publicly, but employee reviews (3.2/5 on LinkedIn) highlight competitive compensation (3.6/5) and room for impact. ## Sources 1. [fabric.inc – Homepage](https://fabric.inc/) 2. [fabric.inc – About page](https://fabric.inc/company/about) 3. [fabric.inc – Careers page](https://fabric.inc/company/careers) 4. [fabric.inc – Series C press release](https://fabric.inc/press/headless-commerce-leader-fabric-announces-140-million-series-c-funding-led-by-softbank) 5. [LinkedIn – fabric Company Page](https://www.linkedin.com/company/teamfabric) 6. [fabric Greenhouse Careers Page](https://job-boards.greenhouse.io/fabric83) ## Other roles at Fabric - [Senior Software Engineer - Insurance Team](https://feeny.ai/job/senior-software-engineer-insurance-team-fabric-new-york-55xy2my6mejp) — New York, NY