Product Manager

TEKsystems; United States; Remote; USD 148,000 - 222,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) Retirement Plan

Life Insurance & Disability

Job summary

TEKsystems is seeking a Product Manager - Data Operations Lead to oversee end-to-end data programs for frontier AI, including data annotation, RLHF, and model evaluation services. You will manage multiple consulting and delivery projects, interact with clients, and lead a cross-functional team across editorial and data operations.

This permanent role offers remote work and a salary range of $148,200–$222,400 per year.

Qualifications

• Bachelor's degree in CS/ML/Journalism or related field.
• 5+ years of experience in program/product management, technical consulting, or service delivery leadership.
• Experience managing data pipelines, editorial/content operations, data annotation workflows, or model evaluation frameworks.

Responsibilities

• Lead the Data Ops program roadmap and oversee the end-to-end data lifecycle including data ingestion, annotation, and model feedback.
• Define evaluation methodologies, KPIs, and Ground Truth standards for frontier AI models.
• Architect HITL systems and scalable data pipelines ensuring IRR across global teams.

Skills

Product management

Education

Bachelor's degree in Computer Science, Machine Learning, Journalism/Linguistics, or related technical field

Tools

SQL

Scripting

Job description

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? Heres what the opportunity supported through our TGS Talent Acquisition Team requires:The Product Manager - Data Operations Lead position is a highly technical and strategic leadership position in the organization that is responsible for managing multiple consulting and delivery projects and account teams/programs. The PM - Data Ops Lead provides consulting and delivery assurance of services for clients through a range of internal and external functions in the following areas: Consulting, Account Interaction, Service Delivery, and Practice Delivery responsibilities.In this dual-focus role, you will combine the strategic execution of a Technical Program Manager and Product Owner with the deep technical expertise and client-facing consultation abilities of a Practice Architect. You will manage the end-to-end lifecycle of high-stakes data programs, specifically supporting enterprise clients in their development of frontier AI models through large-scale data annotation, RLHF (Reinforcement Learning from Human Feedback), Agentic AI and rigorous model evaluation services.Project sizes range from transactional solutions of < $1M to multi-year outsourcing solutions of > $10M. The PA is expected to have the experience and background to perform all the duties described below for engagements that are focused on consulting/delivery management within the Frontier AI Data subject matter area.Key Responsibilities-Product & Program Strategy (The \"Data Product\" Roadmap)-Data Flywheel Management: Oversee the end-to-end data lifecycle, managing the \"flywheel\" of data ingestion, annotation, and model feedback. Treat the data pipeline as a product, continuously refining the roadmap to improve data quality and throughput.-Strategic Evaluation Design: Own the roadmap for data and evaluation services for frontier AI models. Collaborate with Research and Engineering to define evaluation methodologies, success metrics (KPIs), and \"Ground Truth\" standards.-Prompt Engineering Strategy: Architect complex prompt strategies for model testing and \"Red Teaming\". Design prompt libraries that stress-test models for safety, bias, and factual accuracy.-Innovation & Trends: Analyze trends in operational data to uncover improvement opportunities and implement scalable solutions. Innovate with purpose, promoting a culture of customer-centered work and sharing lessons learned with the team. Design and deliver an innovation process.-Operational & Editorial Excellence (The \"Practice Architect\" Delivery)-Editorial Operations Architecture: Design and manage high-volume Editorial Operations workflows. Apply journalistic rigor to the data annotation process, creating comprehensive rubric guides, tone-of-voice documentation, and fact-checking protocols to ensure high-quality human feedback.-Human-in-the-Loop (HITL) Frameworks: Architect robust HITL systems. Develop technical solutions to automate data pipelines and establish quality frameworks that ensure inter-rater reliability (IRR) across diverse, global teams of annotators.-Risk & Communication: Monitor program health, track milestones, and communicate technical trade-offs or risks to leadership and cross-functional teams using multi-mode communications that convey a clear understanding of unique audience needs.-Knowledge Management: Implement knowledge management strategies and ensure delivery methodologies are understood and followed by the team from project initiation to closeout.-Enterprise Client Partnership & Consultation-Consultative Leadership: Act in a consultative and implementation capacity with prospective and current customers, serving as the primary liaison. Ensure a clear understanding of customer needs and design the best solution, managing expectations and ensuring contract understanding and acceptance for deliverables, costs, timelines, risks, and assumptions.-Pre-Sales Support: Partner with sales teams to create and present solution proposals to sell services and solutions to new and existing enterprise clients. Lead the technical component of SOW (Statement of Work) creation.-Business Expansion: Maintain awareness for additional business opportunities and support pursuit of future business through quality results and escalation to internal stakeholders.

Skills

Product management

Top Skills Details

Product management

Additional Skills & Qualifications

Minimum QualificationsEducation: Bachelors degree in Computer Science, Machine Learning, Journalism/Linguistics, or a related technical field, or equivalent practical experience.Experience: Approximately 510+ years of experience in program/product management, technical consulting, or service delivery leadership, with a track record of launching technical products or features for enterprise clients.Domain Expertise: Experience managing data pipelines, editorial/content operations, data annotation workflows, or model evaluation frameworks (e.g., benchmark development or human-in-the-loop systems).Technical Skills: Experience with data analytics, data management, and technical troubleshooting;Execution: Proven ability to manage project schedules, identify risks, and communicate with cross-functional partners.Preferred QualificationsEditorial & Content Strategy Background: 5+ years of experience in editorial operations, journalism, or content strategy. Proven ability to manage editorial calendars, define rubric guides, and lead large teams of writers/editors. Experience transitioning editorial skills into AI Data Operations is highly desirable.AI Certification: PMI Certified Professional in Managing AI Projects (PMI-CP) or similar advanced AI program management credentials.Prompt Engineering: Demonstrated expertise or certification in Prompt Engineering, with a deep understanding of LLM behaviors, hallucination modes, and chain-of-thought reasoning.Technical Product Management: Proven ability to define a product vision, create roadmaps, and write detailed PRDs (Product Requirement Documents) for AI infrastructure or data services; proficiency with SQL and scripting is a plus.Multi-Lingual Capabilities: Proficiency in multiple languages (e.g., Urdu, Hindi, Spanish) to support global data evaluation and multi-lingual model training.Agile Mastery: Advanced certifications in Scrum (e.g., Scrum: Advanced, CSM, PSM)

Experience Level

Entry Level

Job Type & Location

This is a Permanent position based out of Princeton, NJ.

Pay and Benefits

The pay range for this position is $148200.00 - $222400.00/yr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. 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 VisionCritical Illness, Accident, and Hospital401(k) Retirement Plan Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life and AD&D for employee and dependents)Short and Long-Term DisabilityHealth Spending Account (HSA)Transportation BenefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 9, 2026.

About TEKsystems

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.

About TEKsystems and TEKsystems Global Services

Were 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. Were 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. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were 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.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.