Product Manager

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:

TEKsystems Global Services (TGS) is seeking a Product Manager – Data Operations (Agentic AI) to lead enterprise DataOps initiatives and ensure high-quality delivery of data annotation, RLHF, model evaluation, and prompt/context engineering. This role blends product ownership with execution, acting as both strategic product leader and operational engine for AI data programs.

Product Management & Delivery Leadership

• Own product vision, roadmap, and backlog for DataOps and Agentic AI
• Translate business needs into outcome-driven requirements
• Define success metrics tied to data quality and AI performance
• Lead cross-functional delivery across engineering and stakeholders
• Drive governance, delivery readiness, and post-launch validation

Data Operations Execution (Data Flywheel)

• Manage data ingestion-to-delivery workflows and annotation pipelines
• Monitor throughput, remove blockers, and ensure delivery velocity
• Identify operational bottlenecks and optimize processes
• Track SLAs, metrics, and data quality thresholds

Prompt & Evaluation Operations

• Maintain prompt libraries for testing, evaluation, and safety
• Track evaluation KPIs and produce performance reporting
• Ensure prompt/workflow versioning and traceability

Operational Quality Assurance

• Enforce annotation guidelines and editorial standards
• Monitor IRR, manage arbitration queues, and resolve edge cases
• Develop RAID logs and risk mitigation strategies

Agentic AI Productization

• Support development of agentic workflows and automation solutions
• Ensure evaluation frameworks, HITL controls, and observability
• Balance cost, performance, and reliability

Governance & Compliance

• Ensure AI workflows meet enterprise governance standards
• Define controls for data handling and auditability
• Align with security and compliance policies

Client Partnership

• Serve as primary liaison for stakeholders and TPM leads
• Provide transparent communication on status and risks
• Support POCs and pre-sales activities

Knowledge Management

• Maintain documentation, SOPs, and delivery playbooks
• Drive continuous improvement and knowledge transfer

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data/Analytics, or equivalent experience.
• 7–10 years of experience across Product Management and / or Product Operations.
• Proven experience delivering enterprise DataOps platforms and/or AI/ML systems into production.
• Strong hands on understanding of open source data tooling, including:
• Orchestration (e.g., Airflow)
• Transformation and modeling (e.g., dbt)
• Data quality and validation (e.g., Great Expectations) Metadata and lineage (e.g., OpenLineage)
• Practical experience with open source Agentic AI concepts and frameworks:
• RAG pipelines, embeddings, vector databases
• Agent orchestration and workflow graphs
• Tool/function calling using open APIs
• Experience authoring PRDs, roadmaps, program plans, and executive readouts.
• Strong Agile delivery and stakeholder management experience
• Familiarity with annotation, RLHF, or evaluation pipelines
• Excel/Sheets/Tableau proficiency
• Strong communication and stakeholder management skills in enterprise environments.

Preferred Qualifications

• Advanced degree a plus.
• Experience delivering AI solutions in regulated or compliance heavy industries.
• Familiarity with open source LLM hosting and deployment patterns (self hosted or cloud agnostic).
• Exposure to LLMOps and MLOps using open tooling (model versioning, evals, CI/CD).
• Experience designing reference architectures or accelerators for reuse across clients.
• Experience in consulting or client facing delivery environments.

Job Type & Location

This is a Permanent position based out of Raleigh, NC.

Pay and Benefits

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 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 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)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 4, 2026.