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Technical Product Owner
Company | Beam |
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Location | Columbus, OH, USA |
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Salary | $115200 – $184198 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Mid Level, Senior |
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Requirements
- 4+ years of experience in product management or technical product management
- Strong understanding of enterprise SaaS, APIs, and system integrations
- Experience working closely with engineering teams, understanding technical constraints and trade-offs
- Familiarity with Gen AI/ML applications in automation or predictive analytics
- Ability to translate business objectives into clear, actionable technical requirements
- Experience with Agile development methodologies, backlog management, and sprint planning
- Strong data-driven decision-making skills, with experience using product analytics tools
- Excellent stakeholder communication skills, particularly with cross-functional teams
Responsibilities
- Lead the development of AI-driven automations and productization opportunities with underwriting, and broker acquisition tools by collaborating closely with Engineering, Data Analytics, and Insurance PM teams
- Own and refine the technical product roadmap, ensuring alignment with business objectives such as loss ratios, revenue efficiency, and broker engagement
- Define and prioritize user stories, technical requirements, and specifications, collaborating with Insurance Product Managers and Product Owners
- Work with Engineering feature delivery and platform teams to ensure scalable architectures, API integrations, and system reliability
- Partner with Revenue Tech Engineering to automate and streamline the broker experience
- Serve as the main liaison between Insurance Product, Engineering, and Operations (Revenue and Internal), translating business priorities into actionable development work
- Collaborate with Data Analytics teams to integrate data models from underwriting and quoting workflows to reporting needs
- Work with Insurance teams to ensure new product features align with actuarial models and underwriting rules
- Participate in quarterly planning cycles with cross-functional teams to align on objectives and measure impact
- Define requirements for AI-driven underwriting and quoting models to improve efficiency and reduce time-to-bind for brokers
- Collaborate with Engineering on automation initiatives to eliminate manual processes in policy issuance, claims, and broker interactions
- Monitor and optimize conversion rates using AI-led insights
- Track and analyze key product metrics such as quote-to-bind conversion, underwriting efficiency, and broker engagement
- Gather feedback from brokers, internal sales teams, and insurance stakeholders to refine and enhance product capabilities
- Drive continuous improvements in system performance and user experience based on data-driven insights
Preferred Qualifications
- Experience in insurance, insurtech, or fintech (knowledge of loss ratios, underwriting, broker operations is a plus)
- Familiarity with AI-driven automation tools, underwriting models, or policy management systems
- Hands-on experience with SQL, API testing, or technical documentation
- Previous work with AI-enabled product solutions (e.g., automated underwriting, chatbot-driven sales processes)