Product Manager

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:

TEKsystems Global Services (TGS) is seeking a Product Manager to lead enterprise Data Operations initiatives and the delivery of multi-modal data annotation, prompt/context engineering, model evaluation and Agentic AI solutions. This role blends product ownership with product operations execution, enabling clients to operationalize their data for AI models and build AI agents while meeting enterprise standards for security, governance, scalability, and compliance.

You will define and drive product strategy while orchestrating endtoend delivery of DataOpsenabled AI platforms and agentic workflows that leverage AI frameworks.

Key Responsibilities

Product Management & Data Operations

Own the product vision, roadmap, and backlog for data and agentic AI capabilities across enterprise client engagements.

Translate business needs into outcome driven product/service requirements and architecture.

Define success metrics tied to data reliability/quality, AI agent effectiveness, automation value, and operational efficiency.

Develop PRDs, user stories, and acceptance criteria with a strong focus on operability, reuse, and scalability.

Lead crossfunctional delivery across diverse team of data engineering, ML engineering, platform, security, and client stakeholders.

Plan and execute complex programs spanning DataOps, MLOps, and Agentic AI workflows using Agile delivery methods and AI tools.

Manage dependencies, risks, and timelines across multiple workstreams and client environments.

Establish delivery governance including design reviews, readiness checks, operational handoffs, and postlaunch validation.

Drive implementation and modernization of enterprise DataOps capabilities, including:

o Data ingestion, transformation, and orchestration

o Data modeling, metadata management, and lineage

o Data quality frameworks and observability

Partner with architects to ensure data tooling is productionready, secure, and wellgoverned.

Define and track data SLAs, quality thresholds, and operational metrics in alignment with business use cases.

Agentic AI Solutions

Lead productization and delivery of Agentic AI systems for example:

o Agent orchestration frameworks (e.g., LangGraph, AutoGenOSS, CrewAI, custom orchestration layers)

o RetrievalAugmented Generation (RAG) using open vector stores and search engines

o Toolusing agents that integrate with enterprise APIs, data platforms, and workflow systems

o Multiagent workflows for task decomposition, reasoning, validation, and escalation

Ensure implementations include:

o Prompt and workflow versioning

o Evaluation frameworks and benchmark testing

o Humanintheloop controls and fallback mechanisms

o Observability, logging, and traceability

Balance accuracy, latency, cost, reliability, and safety through iterative experimentation and datadriven tuning.

Governance, Risk, and Compliance

Partner with security, legal, and compliance teams to ensure AI agents behave predictably and are in alignment.

Define controls for PII handling, model access, prompt data retention, and auditability.

Ensure solutions meet enterprise change management and incident response standards.

Stakeholder Leadership

Serve as a trusted partner to client product delivery leaders and sales executives.

Communicate tradeoffs, progress, risks, and value realization clearly and concisely.

Influence without authority across client and internal delivery ecosystems.

Required Qualifications

Bachelors degree in Computer Science, Information Systems, Data/Analytics, or equivalent experience.

710 years of experience across Product Management and / or Product Operations.

Proven experience delivering enterprise DataOps platforms, quality data sets and/or AI/ML systems into production.

Practical experience with AI concepts and frameworks:

o RAG pipelines, embeddings, vector databases

o Agent orchestration and workflow graphs

o Tool/function calling using open APIs

Experience authoring PRDs, roadmaps, program plans, and executive readouts.

Strong communication and stakeholdermanagement skills in enterprise environments.

Background in consulting or client facing delivery environments such as Sales Support.

Preferred Qualifications

Advanced degree a plus.

Experience delivering AI solutions in regulated or complianceheavy industries.

Familiarity with LLM hosting and deployment patterns (selfhosted or cloudagnostic).

Exposure to LLMOps and MLOps using open tooling (model versioning, evals, CI/CD).

Experience designing reference architectures or accelerators for reuse across clients.

Strong handson understanding of data tooling, including:

o Orchestration (e.g., Airflow)

o Transformation and modeling (e.g., dbt)

o Data quality and validation (e.g., Great Expectations)

o Metadata and lineage (e.g., OpenLineage)[BA1.1][KS1.2]

Expectations

Operates independently on ambiguous and complex problem spaces.

Makes highquality architectural and product tradeoffs grounded in data and delivery realities.

Drives measurable business outcomes, not just feature completion.

Elevates team and organizational maturity across product, program, and AI delivery practices.

Representative Technology Areas

Agent Frameworks: LangGraph, AutoGen (OSS), CrewAI, custom agent orchestration

Data Platforms: Open table formats, Sparkbased engines, open metadata catalogs

Vector Search: pgvector, FAISS, OpenSearch, Weaviate (OSS)

Observability & Quality: Open telemetry, open eval frameworks, open data quality tools

Workflow & Orchestration: Airflow, Kubernetesnative schedulers

Additional Skills & Qualifications

See Above

Experience Level

Expert Level

Job Type & Location

This is a Permanent position based out of Remote, OR.

Pay and Benefits

The pay range for this position is $128000.00 - $192000.00/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 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 Oct 23, 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.