Group Product Manager - AI Product Lead - Signals Engineering
AI summary of the role
This Group Product Manager leads the product strategy and roadmap for Signals Engineering at Truist, translating enterprise telemetry and AI observability data into actionable capabilities that drive AI quality, safety, and operational intelligence.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own the product vision, strategy, and roadmap for Signals Engineering, defining telemetry, behavioral analytics, and AI observability capabilities.
- Translate enterprise stakeholder needs from AI engineering, security, governance, QA, and business operations into clear product requirements and prioritized backlogs.
- Partner with engineering leads to define signals infrastructure, data capture patterns, telemetry pipelines, event schemas, and analytics delivery.
- Drive cross-functional delivery alignment across signals engineering, AI engineering, security, QA, data, and platform teams.
What you’ll bring
- 15+ years in a combination of professional services and financial services industry.
- 7+ years of product management experience.
- Deep understanding of software development methodologies and best practices.
- Deep and broad experience in digital banking, financial services, or other complex transactional services.
Technologies
telemetry · observability · AI · LLM · agentic systems · Microsoft Azure Monitor · Application Insights · Microsoft Fabric · event streaming · data engineering
About Truist Bank
Runs consumer, small-business, commercial, investment-banking, wealth, payments, mortgage, and specialized-lending services across high-growth U.S. markets.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Engineering domain. This role is responsible for translating enterprise signal and telemetry data — spanning system behavior, user interaction, agent execution, and workflow performance — into actionable product capabilities that drive AI quality, safety, and operational intelligence. This is a hybrid product and domain leadership role. The Product Lead sets product vision for signals infrastructure, defines what gets built and why, drives cross-functional delivery alignment, and ensures the observability and intelligence layer needed to operate AI systems with confidence, improve continuously, and meet governance and audit requirements. Daily work includes owning the signals product roadmap, writing product requirements and acceptance criteria, partnering with engineering to deliver telemetry and analytics capabilities, translating enterprise stakeholder needs into product priorities,
More from the job description
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The Group Product Manager – AI Signals Engineering owns the product strategy, roadmap, delivery alignment, and stakeholder engagement for the Signals Engineering domain. This role is responsible for translating enterprise signal and telemetry data — spanning system behavior, user interaction, agent execution, and workflow performance — into actionable product capabilities that drive AI quality, safety, and operational intelligence. This is a hybrid product and domain leadership role. The Product Lead sets product vision for signals infrastructure, defines what gets built and why, drives cross-functional delivery alignment, and ensures the obse [... source excerpt omitted ...] ed to operate AI systems with confidence, improve continuously, and meet governance and audit requirements. Daily work includes owning the signals product roadmap, writing product requirements and acceptance criteria, partnering with engineering to deliver telemetry and analytics capabilities, translating enterprise stakeholder needs into product priorities, and ensuring signal outputs are usable, trusted, and integrated into the AI delivery lifecycle. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to tim [... source excerpt omitted ...] bilities get built, sequenced, and delivered. Translate enterprise stakeholder needs — from AI engineering, security, governance, QA, and business operations — into clear product requirements, prioritized backlogs, and delivery-ready specifications. Partner with engineering leads to define signals infrastructure, data capture patterns, telemetry pipelines, event schemas, and analytics delivery that serve AI quality and operational intelligence goals. Define what "good" looks like for AI signal coverage: what agent behaviors, prompt patterns, tool invocations, workflow outcomes, and system events must be captured, stored, and analyzed. Drive cross-functional delivery alignment acr
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