P&C Product Manager III, Product Innovation - Remote

CSAA Insurance Group, a AAA Insurer•Washington, DC

4d•Remote

About The Position

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work. We are actively hiring for a P&C Product Manager III, Product Innovation - Remote! The P&C Product Manager III – Product Innovation drives product innovation and transforms CSAA’s underwriting, digital experiences, and product by maximising AI-powered solutions, emerging technologies, and advanced innovation practices. This role is dedicated to modernizing processes through the adoption of artificial intelligence (AI) capabilities, leading discovery and experimentation to reimagine underwriting, digital experiences, and product. By partnering with cross-functional teams – including Design, Delivery, State Management, Distribution, Data Science, Technology, Actuarial, Legal, and Compliance – the Product Manager III envisions, builds, tests, and scales next-generation AI driven solutions that optimize efficiency and enhance customer and agent experiences. This position blends core Product functions with enterprise innovation strategy, employing human-in-the-loop design, lean experimentation, rapid prototyping, market intelligence, and AI/ML to improve experiences for agents and members. Operating with broad autonomy, the Product Manager III shapes strategic direction and informs roadmaps by translating research and experimentation into recommendations. They guide initiatives from concept through pilot and enterprise scale, emphasizing measurable outcomes, scalable design, and alignment to strategic goals.

Requirements

8+ years of progressive product management experience, ideally including innovation initiatives or large‑scale technology modernization.
Bachelor’s degree in business, marketing, technology, or a related field (or equivalent experience)
Deep expertise in Product functions and customer experience, with solid understanding of insurance operations, underwriting, digital experiences, and product.
Strong command of innovation methods, research techniques, and lean experimentation frameworks.
Ability to apply AI/ML and analytics to product discovery and delivery (e.g., prototyping, evaluation, iteration) and scale what works responsibly.
Skilled in designing and driving pilots for advanced technology solutions, including success metrics and change-management considerations.
Demonstrated ability to translate experiment outcomes into insights and adoption plans that improve customer and agent experiences.
Ability to embed experimentation and data-informed decision-making in cross-functional teams.
Proven ability to apply modern tools (including AI-enabled capabilities) to improve decision-making and day-to-day execution.
Advanced analytical and problem-solving skills, including data-driven evaluation and development of strategic recommendations.
Exhibits exceptional intellectual curiosity and a relentless passion for continuous learning, consistently expanding upon an already strong foundation in AI to stay at the forefront of emerging technologies and innovation practices.
Demonstrates a strong bias toward decisive action, consistently executing initiatives with exceptional speed and unwavering commitment to quality.
Exceptional communication skills with the ability to synthesize complexity and influence diverse stakeholders.
Proven leadership and effectiveness in highly matrixed environments.
Excellent knowledge of analytics, AI/ML tools, prompt engineering (e.g., Microsoft 365/Copilot, SQL, SAS) and structured analysis and design techniques.
Applicants must have authorization to work indefinitely in the US.
Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Nice To Haves

CPCU, Agile/Lean, Design Thinking, or recognized innovation credentials.
Actively shapes our company culture (e.g., supporting employee resource groups, mentoring employees, volunteering, joining cross-functional projects)
Champions our cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.)
Demonstrates a company ownership mindset, thinking beyond boundaries of their own area
Travels as needed for role, including divisional / team meetings and other in-person meetings
Fulfills business needs, which may include investing extra time, helping other teams, etc

Responsibilities

Identify, evaluate, and pilot emerging technologies (including AI/ML and advanced analytics) to modernize underwriting and product delivery, improve risk segmentation, and enhance operational efficiency.
Lead qualitative and quantitative research, rapid prototyping, and lean experiments (POVs, MVPs, pilots) with clear success metrics to accelerate learning and inform investment decisions.
Define strategic opportunities and testable hypotheses for future-state underwriting and product delivery, translating disruptive trends and market shifts into actionable cases.
Collaborate with cross-functional partners (Technology, Data, Underwriting, Delivery, State Management, Distribution, Implementation, Legal, Compliance, Privacy, and Model Risk Management) to ensure scalable solutions meet governance, auditability, responsible AI, and regulatory requirements.
Continuously improve AI-enabled underwriting and delivery solutions across channels, focusing on usability, operational simplicity, and scalability, and leveraging analytics, feedback loops, and structured experiments to optimize processes and strengthen risk assessment.
Develop and communicate market insights, competitive dynamics, and innovation investment priorities, including data-backed cost-benefit analyses and value cases to justify modernization efforts and align with strategic objectives.
Translate customer, agent, and underwriting needs into requirements, roadmaps, and prioritized backlogs, ensuring modernization investments deliver measurable outcomes.
Model and promote modern product, underwriting, and innovation practices.
Coach peers and partners on experimentation, customer-centricity, and data-informed decision-making.
Champion a culture of continuous improvement, learning, and responsible innovation.