Sr. Product Manager

Safe-Guard Products International•Atlanta, GA

About The Position

Safe-Guard Products International is seeking a Senior Product Manager to own the strategy, roadmap, and execution of its Rating Engine, the core system used to price and rate risk. The position connects actuarial pricing and business requirements with engineering execution, translating complex actuarial and regulatory needs into a prioritized roadmap and ensuring reliable delivery, including for critical annual rate change cycles. The role requires comfort with ambiguity and the ability to translate technical and actuarial complexity into clear plans. The product manager is expected to take a hands-on, AI-native approach: using AI tools and coding agents to prototype, build, validate, and accelerate product development alongside engineers, while deliberately testing AI-generated work for hallucinations, nondeterministic behavior, and edge cases. The position leads product strategy and cross-functional collaboration between Risk/Actuarial and IT/Engineering, manages requirements and delivery from discovery through launch, and supports rating accuracy, data integrity, regulatory compliance, and audit traceability. It also identifies and promotes AI-assisted workflows and builds or supports tools and automations for configuring, validating, and deploying rate changes. The role is located in Atlanta (Sandy Springs), Georgia.

Requirements

7 or more years of product management experience, including 3 or more years in a senior or lead product manager role owning a complex, technical, or platform-level product.
Experience managing products with significant cross-functional dependencies between business or domain experts and engineering teams.
Ability to translate complex business logic, ideally in pricing, rules engines, financial systems, or similarly rule-driven domains, into clear technical requirements.
Demonstrated experience managing high-stakes, deadline-driven release cycles.
Strong stakeholder management and communication skills with senior executives and technical teams.
Strong analytical skills and comfort using data to inform prioritization and measure product success.
Hands-on experience using AI coding tools or agents to build prototypes, scripts, or working software, beyond drafting text or summarizing meetings.
Ability to quickly turn ideas into tangible, clickable, or functional prototypes using AI to accelerate the path from concept to working software.
A builder's mindset and willingness to work directly with tools, code, and data rather than only writing specifications.
Willingness to experiment with AI tools and workflows and a track record of introducing them into a team's day-to-day practice.

Nice To Haves

Experience in insurance, financial services, or another highly regulated industry.
Familiarity with actuarial pricing concepts, rating plans, rate filings, or insurance rating engines.
Experience with rules engines, pricing or rating platforms, or configuration-driven systems such as Duck Creek, Guidewire, Sapiens, EIS, or custom-built platforms.
Working knowledge of Agile/Scrum delivery methodologies.
Technical fluency, such as understanding APIs, data models, SQL, or basic scripting, sufficient to prototype alongside engineers and engage credibly in architecture decisions.
Prior experience as a software engineer, solutions engineer, analytics engineer, or in another hands-on technical role before moving into product management.
Experience building internal tools, automations, or prototypes with low-code platforms or AI-assisted development.

Responsibilities

Own the end-to-end product vision, strategy, and roadmap for the rating engine in alignment with enterprise pricing and business goals.
Partner with Risk and Actuarial leadership to understand pricing strategy, rate filing requirements, and rating plan changes, and translate them into product requirements.
Build and maintain a prioritized backlog balancing annual rate change deadlines, regulatory and compliance requirements, technical debt, and platform scalability.
Define and communicate multi-quarter and multi-year roadmaps to executive stakeholders.
Serve as the primary liaison between Risk/Actuarial and IT/Engineering, aligning stakeholders on scope, priorities, and timelines.
Facilitate requirements sessions with actuaries and pricing analysts to document rating logic, rate tables, algorithms, and business rules.
Partner with engineering leads and architects to assess feasibility, sequencing, and delivery approach.
Manage trade-offs and resolve conflicts between business urgency and technical constraints.
Write clear epics, user stories, and acceptance criteria for a technical, rules-driven system.
Manage product development from discovery through launch, including UAT and post-launch validation, particularly for annual rate change releases.
Partner with QA and Risk to verify rating accuracy, data integrity, and regulatory compliance before releases.
Track and report product and delivery metrics such as rate change cycle time, defect rates, and release predictability.
Ensure the roadmap accounts for regulatory filing deadlines, jurisdictional requirements, and audit needs.
Work with compliance and legal stakeholders as needed on rate approval processes.
Maintain documentation of rating logic changes for audit and regulatory traceability.
Use AI tools and coding agents to create functional prototypes, mockups, and proofs of concept from rating logic and business rules.
Use deliberate boundary testing and business-rule-derived test cases to address limitations of AI-generated logic.
Use AI with engineers to scaffold, test, and refine features; generate sample data; draft technical specifications; and test rating logic edge cases.
Identify opportunities for AI-assisted development, including code and test generation, documentation, and refactoring support, to accelerate rating engine enhancements.
Build internal tools, scripts, or lightweight automations, with or in support of engineering, to streamline rate configuration, validation, or deployment.
Demonstrate and promote AI-enabled workflows across product, risk, and engineering teams.
Stay current on AI and agentic development capabilities relevant to insurance pricing, rules engines, and software delivery, and bring useful tools and techniques into team practice.