WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value â and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.WHO YOU ARE: Weâre seeking a forward-thinking AI Product Manager with strong technical depth in Machine Learning, LLM-based products, Automation, and API-driven platform design. In this role, you will define, build, and scale AI-powered solutions across Zinniaâs digital insurance platform, enhancing underwriting, claims, operations, and customer engagement workflows. Youâll work at the intersection of AI innovation, insurance expertise, and engineering execution, translating business needs into scalable products that deliver measurable impact. WHAT YOUâLL DO:
Contribute to the product vision and roadmap for AI/ML initiatives across Zinniaâs platform. Identify high-impact opportunities to integrate AI into insurance value chains (underwriting, policy admin, claims, distribution, agent enablement). Evaluate new AI technologies (LLMs, RAG, predictive analytics, automation frameworks) and drive adoption across the organization. Translate user problems and business needs into clear product requirements, PRDs, and user stories. Work closely with engineering, data science, design, actuarial, and insurance SMEs to ship high-quality AI products. Drive API-first development for system integrations with carriers, distributors, third-party data providers, and internal platforms. Ensure AI and APIs follow robust security, compliance, and governance guidelinesâespecially relevant to Life & Annuities.
AI/ML Technical Collaboration:
Understand ML lifecycle basics (data pipelines, model drift, monitoring, inference performance). Work with engineers to design and expose AI capabilities via scalable APIs and microservices.
WHAT YOUâLL NEED:
A Bachelor's/Master's Degree with 5-8 years of Product Management experience, with at least 2â3 years in AI/ML, data products, or automation-based products. Experience working with APIs, microservices, and modern cloud architectures (AWS/Azure/GCP). Ability to write detailed requirements for API integrations, data flows, and AI capabilities. Strong understanding of ML concepts (classification, NLP/LLMs, predictive models, evaluation metrics). Proven ability to work with Data Science and Engineering teams in a deeply technical environment. Strong problem-solving skills with a bias for experimentation, iteration, and measurable output. Excellent communication skills, especially in simplifying complex AI concepts for non-technical stakeholders.
Preferred Qualifications:
Experience in InsurTech, Life & Annuities, financial services, or regulated industries. Familiarity with underwriting data sources (e.g., Rx, MIB, credit), claims/operations automation, or distribution workflows. Experience with LLM products, vector databases, prompt engineering, or RAG systems. Exposure to compliance frameworks related to AI ethics, data privacy, and model governance.
WHATâS IN IT FOR YOU? Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, profit sharing, PF, incentive/bonus opportunity, tuition reimbursement, and so much more. Weâre looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.