Lead Technical Product Manager - Digital Experience
Listed on 2026-03-12
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IT/Tech
AI Engineer, Data Analyst
Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group 1001’s culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets – our employees.
WhyThis Role Matters
We're looking for an exceptional Lead Technical Product Manager who is obsessed with outcomes, not outputs. This role sits at the intersection of platform architecture, portal experiences, and data-driven decision making. You'll own critical platform capabilities—APIs, integrations, and agent/advisor/client portals—that directly enable our partners to achieve $12B+ in sales capacity. You'll measure success not by features shipped, but by measurable business outcomes:
Zero Touch rates, cycle time reduction, agent adoption, and carrier-validated cost savings.
- Thinks in outcomes — You start with the business result and work backward to the solution
- Lives in data — You establish baselines, track leading indicators, and make decisions based on evidence
- Embraces AI — You see AI/ML as a tool to accelerate automation and improve decision quality
- Builds platforms that scale — You create capabilities that multiply team productivity
- Design and own our API strategy—REST, webhooks, event-driven architectures
- Build platform capabilities that enable 25-30% Zero Touch processing rates
- Create reusable capabilities used by 2+ features each, reducing development time
- Architect integrations that support distribution partners and carrier workflows
- Own the agent/advisor/client portal product strategy and roadmap
- Drive portal adoption from current state to 70% adoption target
- Achieve >80% agent CSAT through UX improvements and self-service capabilities
- Reduce support volume by 25% through portal-based self-service features
- Define success metrics for every feature before development begins
- Establish baselines, track leading indicators weekly, review outcomes monthly
- Drive carrier-validated operational savings through intelligent automation
- Document data-driven decisions with measurable impact
- Identify opportunities for AI/ML to improve processing automation
- Partner with engineering to implement intelligent document processing, rules optimization, and predictive workflows
- Use AI-assisted tools to reduce PRD-to-launch cycle time by 25%
- Build features that compound—every release makes the next one easier
- 5+ years of product management with at least 3 years on technical/platform products
- Understanding of APIs, microservices, event-driven architectures
- Experience with modern tech stacks and cloud platforms (AWS/GCP/Azure)
- Experience working with data science teams or implementing AI-powered features
- Familiarity with LLMs, intelligent document processing, or predictive analytics (nice to have)
- You measure success by business outcomes, not feature velocity
- Experience defining and tracking OKRs with explicit, measurable key results
- You've driven measurable cost savings, efficiency gains, or revenue impact
- Comfortable presenting outcome dashboards to executives and stakeholders
- You establish baselines before measuring improvement
- Experience building metrics frameworks—leading vs. lagging indicators
- Fluent in analytics tools and comfortable writing SQL or working with data teams
- You've made product decisions based on data and documented the impact
- Experience owning B2B portal products—agent portals, partner portals, or customer portals
- Track record of driving adoption and improving user satisfaction scores
- Understanding of self-service design patterns that reduce support burden
- Experience with e-commerce, workflow, or transactional portal experiences
- Experience in fintech, insurtech, or regulated industries
- Previous engineering or…
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