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Product Manager - Customer Technologies

Job in Bethesda, Montgomery County, Maryland, 20811, USA
Listing for: Socket.dev
Part Time position
Listed on 2026-08-08
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 100000 - 158000 USD Yearly USD 100000.00 158000.00 YEAR
Job Description & How to Apply Below

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge:
Great Company, Great Culture, Great Rewards, and Great Careers.

Product Manager, Delivery & Customer Engagement Analytics About The Job

You will be working on GEICO’s platform for creating and activating customer communications and marketing campaigns. We are evolving into a modern customer engagement platform
, helping teams reach the right customers with relevant experiences across channels, with growing emphasis on self serve usability, multi channel orchestration, AI engagement, and enterprise grade reliability.
This Product Manager role owns the delivery and AI driven optimization layer, how messages get sent, whether sends succeed, what users see when something goes wrong, and whether teams can understand and improve engagement performance. You will bring dedicated product focus to"
AI assisted messaging delivery,
customer engagement analytics
, and
optimization
, three capabilities that are essential to platform trust and customer outcomes.
You will drive automation and simplification in delivery and reporting workflows, improve execution visibility so users can diagnose and resolve issues with less operational support, and partner on reliability and observability requirements that help users trust what the platform is doing. You will also help mature the platforms multi-channel delivery capabilities as the platform expands beyond its core channels.
This role is ideal if you enjoy working closely with engineering on execution systems, partnering with business users on reporting and performance insights, and turning complex delivery and analytics problems into clear, usable product experiences. You will partner with peer product managers across journey, content, and customer data domains to ensure the platform delivers end to end with confidence.
If you want to help GEICO send customer engagement with confidence and prove that it worked, we are looking for you.
This is a hybrid position, requiring on-site presence 2-3 days a week at one of the following locations:
Palo Alto, CA;
Seattle, WA;
Bethesda, MD.

Key Responsibilities Product vision & strategy
  • Define and evolve the product vision, strategy, and roadmap for messaging delivery and customer engagement analytics
  • Connect delivery and analytics capabilities to measurable engagement performance, including send success, failure resolution, reporting adoption, and campaign and journey effectiveness
  • Translate business, technical, and operational requirements into clear product strategies and actionable features
Messaging delivery
  • Own product direction for messaging delivery capabilities across email, SMS, push, and emerging channels
  • Improve execution visibility by surfacing send status, failures, and actionable diagnostics in product
  • Partner with engineering on delivery architecture, dependencies, and reliability patterns without owning orchestration or audience definition
AI driven delivery & optimization
  • Define product direction for AI assisted and agentic capabilities in messaging delivery, including orchestration support, send time optimization, and intelligent troubleshooting
  • Partner with AI engineering to turn engagement performance data into actionable recommendations, insights, and optimization workflows for campaign and journey teams
  • Identify high value automation opportunities across delivery monitoring, failure resolution, and performance improvement loops
  • Ensure AI capabilities are transparent, trustworthy, and usable for business users, with clear guardrails in a regulated, high volume environment
  • Collaborate with peer product managers to connect delivery and analytics AI capabilities with journey, content, and customer data workflows without duplicating ownership
Customer engagement analytics
  • Own campaign and journey reporting and analytics, helping teams understand performance and optimize engagement
  • Simplify how users access, interpret, and act on engagement data with less manual reporting and operational dependency
  • Define analytics requirements that connect upstream orchestration and content decisions to downstream outcomes
Channel expansion
  • Help mature push and other emerging channel capabilities from a product and operations perspective
  • Partner with peer PMs to ensure new channels integrate cleanly with content creation and journey orchestration workflows
Platform trust & reliability
  • Define user facing reliability and observability…
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