Product Manager

TEKsystemsBaltimore, MD
$128,000 - $192,000Remote

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)
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