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About the Role
You will be the sole AI Product Manager at UKON, collaborating closely with the Head of Engineering, CEO, and a small engineering team. This role involves significant ownership of product management operations and translating strategy into software. Unlike traditional Product Manager roles, you will engage directly with the codebase, moving fluidly between customer problems, business strategy, system design, data, and code. Your responsibilities include using AI development tools, building prototypes, conducting technical spikes, and contributing production code, including opening pull requests, participating in code reviews, writing tests, debugging, and owning technical projects through deployment. You will work alongside engineering to understand the technical architecture and constraints, producing outputs such as product strategy, technical specifications, prototypes, SQL queries, API integrations, internal tools, analytics implementations, or production features. You will be responsible for synthesizing inputs from various stakeholders into clear product and technical decisions, prioritizing effectively, and focusing the team on measurable outcomes. The role involves tackling the complexity of the cyber insurance industry, where terminology, workflows, and data are often fragmented and affected by legal and geographic requirements, to build intelligent, scalable software solutions.
Responsibilities
- Own the product process from discovery and prioritization through development, launch, measurement, and iteration.
- Partner directly with the Head of Engineering and CEO to shape the product strategy, technical roadmap, and build priorities.
- Design AI-native workflows that use context, automation, and intelligent assistance to help users complete meaningful work.
- Translate complex insurance and cybersecurity problems into clear requirements, data models, system behaviors, and acceptance criteria.
- Work directly in the codebase to build prototypes, complete technical spikes, fix issues, and ship scoped production features.
- Open pull requests, write tests, participate in code reviews, and own technical work through deployment.
- Evaluate where deterministic software is required and where AI can create a better, faster, or more adaptive experience.
- Help design AI systems that incorporate model selection, context engineering, retrieval, structured outputs, tool use, and human oversight.
- Establish evaluations and instrumentation to measure the quality, reliability, cost, and latency of AI-powered features.
- Work with third-party APIs, carrier integrations, data pipelines, and technical documentation to assess feasibility and identify constraints.
- Use AI development tools to accelerate research, coding, testing, prototyping, documentation, and analysis.
- Define success metrics and use product data, customer feedback, and business outcomes to evaluate what we ship.
- Gather input across the business and clearly communicate product decisions, technical tradeoffs, progress, and results.
Requirements
- At least five years of experience building and shipping software across product management, engineering, or a hybrid role, including meaningful ownership of product decisions.
- Demonstrated experience contributing production code within a collaborative software development environment.
- Proficiency in at least one modern programming language and the ability to become productive in an unfamiliar codebase.
- Experience with Git, pull requests, automated testing, code review, and modern deployment workflows.
- Strong technical fluency across APIs, integrations, databases, data modeling, analytics, and software architecture.
- Hands-on experience building AI-enabled products using language model APIs and related technologies.
- An understanding of context engineering, retrieval, structured outputs, tool calling, agentic workflows, evaluations, and human-in-the-loop systems.
- The judgment to balance model quality, reliability, speed, cost, privacy, security, and user experience.
- The ability to translate ambiguous user and business problems into both a long-term product vision and clear near-term technical requirements.
- Experience using tools such as Claude Code, Cursor, Codex, Devin, or similar platforms as part of your daily workflow.
- Strong communication skills and the ability to align technical and nontechnical stakeholders.
- Comfort operating in ambiguity, making difficult tradeoffs, and creating structure.
- A first-principles mindset and a strong bias toward building, shipping, learning, and iterating.
- Deep user empathy, strong product judgment, ownership, and a high bar for quality.
- Experience building agentic systems, retrieval pipelines, evaluation frameworks, or context-aware AI products.
- Experience in cybersecurity or familiarity with common cybersecurity frameworks, controls, and certifications.
- Experience in insurance, insurtech, fintech, or another regulated and high-trust industry.
- Familiarity with insurance agencies, agency management systems, cyber insurance carriers, or managed service providers.
- Experience building workflow-heavy B2B software or third-party integrations.
- Experience in a fast-moving, high-autonomy startup environment.
Skills
- AI development tools
- Product management
- Engineering
- System design
- Data analysis
- Coding
- Git
- Pull requests
- Automated testing
- Code review
- Deployment workflows
- APIs
- Integrations
- Databases
- Data modeling
- Analytics
- Software architecture
- Language model APIs
- Context engineering
- Retrieval
- Structured outputs
- Tool calling
- Agentic workflows
- Evaluations
- Human-in-the-loop systems
- Communication
- Problem translation
- Claude Code
- Cursor
- Codex
- Devin
Experience Level
- At least five years of experience
About the Company
- UKON is focused on protecting businesses through intelligent, scalable software solutions in the cyber insurance industry.