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You will be updated with latest job alerts via email$ 140425 - 229600
1 Vacancy
Role Overview
As Principal Product Manager AI MarTech you will lead the strategy and execution of AI-powered Agentic Marketing Technology to deliver personalization and recommendation systems across the customer lifecycle from acquisition to engagement to retention. Your work will transform how GEICO delivers tailored experiences replacing static rule-based decision-making with intelligent models that adapt to each customers context in real time.
You will collaborate deeply with our machine learning and data science teams and partner cross-functionally with product managers in content lifecycle marketing customer journeys and experimentation. This role is central to GEICOs transformation into an AI-first customer-obsessed platform.
Key Responsibilities
Define the vision and roadmap for AI-powered agentic marketing technology personalization and recommendation systems across GEICOs web app and owned channels.
Partner with AI/ML and engineering teams to design and deploy models that drive content ranking product recommendations next-best-actions and lifecycle engagement.
Exceptional leadership and collaboration skills with experience managing cross-functional teams.
Ability to influence and align stakeholders at all levels of the organization.
Work with marketing content and journey orchestration PMs to embed personalization logic into end-to-end customer experiences.
Experience defining and tracking KPIs to measure product success. Own success metrics such as engagement lift clickthrough rate policy conversion NPS and renewal intent.
Drive testing and experimentation for personalization at scale including A/B testing model comparisons and cohort targeting.
Translate complex ML product requirements into simple actionable plans that drive business value.
Excellent communication and presentation skills with the ability to articulate complex concepts to both technical and non-technical audiences.
Qualifications
10 years of product management experience including 3 years building AI/ML-based marketing platforms personalization and recommendation systems.
Proven success deploying user-facing recommendations or personalized journeys at scale (e.g. in e-commerce media fintech or insurance)
Experience working closely with data science and ML engineering teams familiarity with model training ranking relevance and explainability
Strong analytical skills and comfort with experimentation A/B testing and metric definition
Excellent communication and collaboration across technical and non-technical stakeholders
A passion for customer-centric product development with an AI-first mindset
Education
Bachelors degree in computer science Engineering Business or related field.
MBA or advanced degree is a plus.
Preferred additional experience
Experience with agentic systems LLM-based personalization or generative AI in content or messaging
Background in insurance financial services or regulated industries
Annual Salary
$140425.00 - $229600.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidates work experience education and training the work location as well as market and business considerations.
The GEICO Pledge:
Great Company:At GEICO we help our customers through lifes twists and turns. Our mission is to protect people when they need it most and were constantly evolving to stay ahead of their needs.
Were an iconic brand that thrives on innovation exceeding our customers expectations and enabling our collective success. From day one youll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on peoples lives.
Great Careers:We offer a career where you can learn grow and thrive through personalized development programs created with your career and your potential in mind. Youll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels.
Great Culture:We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose.
As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards:We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Required Experience:
Staff IC
Full-Time