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.
• Background in consulting or client facing delivery environments.

Job Type & Location This is a Permanent position based out of Boston, MA. 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 May 27, 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 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.

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.