Engagement Manager, Agentic AI Workflow Evaluations

Innodata • San Jose, CA

4d • Onsite

About The Position

Innodata is a global data engineering company focused on enabling the responsible advancement of artificial intelligence. We provide the data, evaluation frameworks, and human expertise needed to build trustworthy AI systems at scale. We offer a range of solutions, platforms, and services for Generative AI/AI builders and adopters, leveraging our 36+ year legacy of delivering high-quality data and outstanding customer outcomes. This role involves leading a dedicated onsite team of ten reviewers and one QA lead to evaluate complex, real-world agentic AI workflows for a frontier AI customer. The team will operate within isolated test environments, assessing AI agent safety, adherence to user intent and consent, and overall robustness under scrutiny. This is a delivery leadership position with significant customer interaction, serving as the primary day-to-day contact responsible for throughput, quality, and turnaround time. The Engagement Manager will also identify opportunities for engagement growth and possess sufficient technical depth to audit team work and defend scoring decisions to the customer's technical leads.

Requirements

• Bachelor's degree or equivalent practical experience
• 5+ years of professional experience, including direct management of a delivery team of 10–20 people
• Track record as the customer-facing owner of a services or delivery engagement with an enterprise or technology client, including metrics reporting and issue escalation
• Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review
• Ability to read rubric-scored work critically and form an independent view of whether a score is correct
• Strong written communication; able to produce reporting and escalation memos that a technical customer will accept without rework

Responsibilities

• Own end-to-end delivery for the onsite team: throughput, quality, turnaround, and capacity against committed volumes
• Manage and develop a team of eleven, including hiring, onboarding, performance management, and retention
• Serve as the primary onsite point of contact for the customer's program and technical leads; run recurring reviews, report on delivery metrics, and resolve issues before they escalate
• Audit reviewer output directly — sample trajectories, check rubric application, and assess whether scoring rationale would survive customer review
• Partner with the QA lead on calibration cycles, quality metrics and evaluation, and rubric refinement; arbitrate disagreements that calibration does not resolve
• Own the escalation path for safety-relevant and ambiguous findings, including judgment on what reaches the customer and how quickly
• Identify expansion opportunities within the account: adjacent workstreams, new task types, additional capacity, and scope the work with internal delivery and commercial teams
• Forecast staffing and cost against the engagement's commercial model, and flag variance early
• Maintain information security, privacy, and facility access practices required by the customer's onsite environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level