Product Manager

TEKsystems • Baltimore, MD

7d • $128,000 - $192,000 • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.
• Background in consulting or client facing delivery environments.

Responsibilities

• 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
• 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
• Maintain prompt libraries for testing, evaluation, and safety
• Track evaluation KPIs and produce performance reporting
• Ensure prompt/workflow versioning and traceability
• Enforce annotation guidelines and editorial standards
• Monitor IRR, manage arbitration queues, and resolve edge cases
• Develop RAID logs and risk mitigation strategies
• Support development of agentic workflows and automation solutions
• Ensure evaluation frameworks, HITL controls, and observability
• Balance cost, performance, and reliability
• Ensure AI workflows meet enterprise governance standards
• Define controls for data handling and auditability
• Align with security and compliance policies
• Serve as primary liaison for stakeholders and TPM leads
• Provide transparent communication on status and risks
• Support POCs and pre-sales activities
• Maintain documentation, SOPs, and delivery playbooks
• Drive continuous improvement and knowledge transfer

Benefits

• 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)

What This Job Offers

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