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Staff Technical Product Manager – AI/LLM expertise + AI Evaluation Science

Armis Hyderabad, India
Full-time Hybrid work

Publication date: 07/10/2026

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

We are looking for a highly technical, strategic, and outcome-oriented Staff Technical Product Manager to establish and scale AI Evaluation as a core engineering capability across the DT organization. The Eval Technical Product Manager will lead this transformation by making trusted Evals the evidence layer for AI.

Responsibilities

Platform Eval Strategy & Adoption Partner closely with Servicenow AI platform and product teams to understand, implement, validate, and drive adoption of out-of-the-box Evals, while influencing the platform roadmap based on enterprise needs.; Enterprise Eval Innovation Identify gaps in platform evaluation capabilities and drive the definition and development of custom Evals, metrics, rubrics, datasets, and evaluation strategies for enterprise-specific AI applications and agentic workflows. The role will establish Eval-Driven Development as a standard engineering practice—moving AI quality from point-in-time testing to continuous measurement throughout the AI lifecycle; Custom Eval Innovation; Identify gaps where OOTB Evals don't adequately measure enterprise AI quality.; Define and drive custom metrics, rubrics, datasets and evaluation strategies.; Develop reusable Evals for domain-specific behaviors and business outcomes.; Establish evaluation approaches for AI agents, task completion, tool usage and multi-step workflows.; Eval-Driven Development; Embed Evals into the full AI lifecycle: Define → Measure → Build → Evaluate → Improve → Release → Monitor; Require AI teams to define expected behavior and measurable quality criteria.; Establish evaluation coverage and quality thresholds.; Integrate trusted Evals into development, regression and release workflows.; Establish Eval-based quality gates for appropriate AI applications.; Enable continuous evaluation in production.

Requirements

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.; 10+ years of experience in Product Management roles, with a focus on AI; A technically strong Product Manager who combines: AI/LLM expertise + Evaluation Science + Quality Engineering + Product Management + Platform Strategy with the ability to influence AI Specialists, engineers and platform teams without direct authority.; Experience with LLM-as-a-Judge, rubrics, evaluation datasets, agent evaluation, AI observability, CI/CD and developer platforms; Servicenow AI Platform experience is a huge plus
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