Senior Product Manager

Role Description

Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates, and we do it at a pace that keeps us ahead. What you ship here reaches thousands of agencies and brokers worldwide and sets the standard for what modern insurance technology looks like.

We’re looking for a Sr. Product Manager: AI Automation to join our DevOps Engineering team. The IT AI Automation team hardens, deploys, runs, and partners on AI at scale. The operating model is simple: a business unit builds a proof of concept, our team hardens it, and we ship it to production on a shared, governed GCP platform with auth, CI/CD, secrets management, and monitoring.

The IT Product Manager owns the roadmap, intake, and governance for the AI Automation team. You are the front door for every business unit that wants to take an AI-powered app, automation, or agent to production. You decide what we build, what we buy, what we harden, and what we say no to, ensuring everything that ships does so safely, with the right access controls and security posture from day one.

You translate a steady stream of business demand (Finance, Ops, Data Services, CX) into a prioritized, defensible roadmap, and you define the operating model that lets business-built POCs become durable, secure production systems.

What You’ll Do

• Own intake: Run a single, transparent intake process for AI app, automation, and agent requests across the company. Capture business value, users, data sensitivity, and security requirements up front.
• Own the roadmap: Partner with business unit leaders to establish prioritization and reporting mechanisms that turn competing demand into a single, defensible roadmap.
• Own governance: Define and enforce standards that turn a “homegrown app with no access controls” into a hardened, monitored production system.
• Own AI quality: Define eval sets and acceptance criteria for models, assistants, and agents; monitor outputs in production; own incident response when a model gets it wrong.
• Enforce responsible AI: Ensure bias and fairness review, explainability requirements, and track emerging standards.
• Define the operating model: Codify the workflow for POCs to become production systems, including hand-off criteria and definition of done.
• Drive buy-vs-build decisions: Run a single intake process for AI tooling evaluation and advisory.
• Manage stakeholders: Communicate roadmap, trade-offs, and risk to business unit leaders and the C-suite.
• Drive adoption and enablement: Partner with business units on rollout, training, documentation, and office hours.
• Measure outcomes: Define and report on metrics that matter, including adoption, time-to-production, security posture, cost, and business impact.
• Manage AI economics: Track and forecast inference cost, vendor spend, and platform unit economics.

Qualifications

• 7+ years in product management, technical program management, or a closely related IT/platform role.
• Demonstrated ownership of intake and prioritization for a portfolio of competing internal requests.
• Working fluency in software delivery and platform concepts: CI/CD, environments, auth/identity, secrets management, monitoring, and cloud (GCP preferred; AWS/Azure acceptable).
• Practical understanding of AI/LLM application patterns and the governance questions they raise.
• Familiarity with the model lifecycle and MLOps fundamentals.
• Strong grasp of security and data-governance fundamentals.
• Working knowledge of responsible-AI frameworks and emerging regulation.
• Excellent written and verbal communication skills.

Requirements

• Experience standing up or governing an internal developer/AI platform shared across business units.
• Experience with enterprise-level software integrations driven by APIs.
• Background in regulated or data-sensitive environments.
• Experience leading buy-vs-build evaluations of vendor AI tooling.
• Experience running AI/SaaS vendor evaluations end-to-end.
• FinOps or cloud-cost-management experience.

Benefits

• Medical, Dental, and Vision Coverage
• Holiday and Vacation Time
• Health & Wellness Days
• A Bonus Day for Your Birthday
• Compensation Transparency

Company Description

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.