Product Manager

Description

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us?

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

The Product Manager - Data Operations position is a key operational leadership role responsible for the execution, delivery assurance, and day-to-day management of enterprise AI data consulting engagements. While the PM - Data Ops Lead sets the strategic vision, the PM- Data Operations is the "Engine Room" of the practice, ensuring that high-stakes data programs are delivered on time, within scope, and to the exacting quality standards required by Frontier AI clients.

In this execution-focused role, you will combine the tactical discipline of a Technical Program Manager with the data-literacy of an Operations Analyst and the linguistic rigor of a Managing Editor. You will own the "Ground Truth" reality of our projects, managing the daily lifecycle of data annotation, RLHF (Reinforcement Learning from Human Feedback), and model evaluation pipelines. You will serve as the primary operational liaison for client engineering teams, ensuring transparency, velocity, and data integrity.

The PM Data Ops is expected to have the experience to perform the duties described below for engagements focused on consulting/delivery management within the Frontier AI Data subject matter area, often supporting larger programs led by a PM Data Ops Lead or independently leading mid-sized engagements.

Key Responsibilities

Product Operations & Execution (The "Data Engine")

Flywheel Operations:

• Execute the daily "flywheel" of data ingestion and delivery, actively manage annotation queues, monitor throughput velocities, and identify "blocked" tasks to ensure continuous data flow between client buckets and labeling platforms.

Evaluation Reporting:

• Implement and track the evaluation success metrics (KPIs) defined by the strategic roadmap. Generate daily and weekly reports on model performance, annotator efficiency, and data distribution to provide actionable insights to Research and Engineering stakeholders.

Prompt Library Maintenance:

• Maintain and version-control complex prompt libraries used for Red Teaming and model stress-testing. Ensure that "Jailbreak" and "Safety" datasets are up-to-date and correctly tagged for regression testing.

Product Innovation & Process Optimization:

• Continuously analyze operational data to identify bottlenecks in the labeling workflow. Configure and refine tooling workflows (e.g., Labelbox, Scale, custom UIs) to improve annotator ergonomics and reduce time-per-task (TPT). Identify new product opportunities and manage the product innovation process.
• Operational Quality Assurance (The "Ground Truth")

Guideline Enforcement:

• Act as the operational "Managing Editor," translating high-level rubric guides into concrete, enforceable rules for annotators. Update guidelines in real-time based on edge cases and client feedback to ensure consistent tone and factual accuracy.

Human-in-the-Loop (HITL) Management:

• Oversee the daily quality framework. Monitor Inter-Rater Reliability (IRR) scores, conduct root-cause analysis on disagreements, and manage "Arbitration" queues to resolve complex edge cases.

Risk & Issue Management:

• Own the project RAID log (Risks, Assumptions, Issues, Dependencies). Proactively identify operational risks (e.g., vendor tool outages, low worker supply) and communicate mitigation plans to the PM - Data Ops Lead and client leadership.

Knowledge Transfer:

• Maintain the project "Knowledge Base," ensuring that all delivery methodologies, decision logs, and technical SOPs are documented, understood, and followed by the delivery team from initiation to closeout. And update key artifacts reflecting continuous improvements and lessons learned.
• Client Partnership & Delivery Assurance

TPM Liaison:

• Serve as the primary point of contact for Client TPM Leads and Forward Deployed Engineering Leads regarding daily status, blockers, and sprint planning. Ensure a "No Surprises" culture through transparent and frequent communication.

Pre-Sales Support:

• Assist sales and strategic teams by providing data-driven estimates for effort, timeline, and resource requirements. Lead "Proof of Concept" (POC) executions to demonstrate operational capability to prospective clients.
• Qualifications

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Linguistics, Data Analytics, or a related technical field, or equivalent practical experience.
• Approximately 3–7 years of experience in technical program management, product operations, or enterprise service delivery, with specific experience in data-intensive or AI/ML environments.
• Hands-on experience with data annotation platforms, editorial workflows, or managing operational teams (e.g., support ops, trust & safety, content moderation).
• Strong Sheets/Excel/Tableau skills for reporting; familiarity with JSON/Python for data handling is a strong plus. Excellent technical judgement.
• Proven ability to manage sprint schedules, unblock technical teams, and maintain high quality under tight deadlines.
• Preferred Qualifications
• Experience acting as a Team Lead or Operations Manager for large groups of knowledge workers (writers, annotators, analysts).
• AI/Data Certification, Certifications in Data Analytics, Agile (CSM, PSM), or CAPM (Certified Associate in Project Management).
• Prompt Engineering Familiarity, understanding of LLM prompting techniques (Chain-of-Thought, Few-Shot) and common failure modes (hallucinations, bias).
• Experience configuring and managing projects in tools like Jira, Linear, Labelbox, Scale AI, or similar HITL platforms.
• Proficiency in multiple languages is a plus for global model evaluation projects.
• Experience with AI product management.

Top Skills Details:

• AI Data Operations & Pipeline Management
• Quality Assurance (IRR/Arbitration) & Editorial Standards
• Technical Project Management (Agile/Sprint Planning)
• Client Reporting & Stakeholder Communication
• Product Management

Job Type & Location

This is a Permanent position based out of Baltimore, MD.

The pay range for this position is $128000.00 - $192000.00/yr.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protectedclassification.Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.Our full-time, internal employment benefits include the following:
• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long-Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully remote position.

This position is anticipated to close on May 6, 2026.

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.