Product Manager

🔥 0 minutes ago

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $128k - $192k / year

⏰ Full Time

🟠 Senior

🔴 Lead

✅ Product Manager

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TEKsystems

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

💼 Consulting

🎯 Recruiter

🏢 Enterprise

Consulting • Recruitment • Enterprise

TEKsystems is a global IT and business services firm that provides technology consulting, talent solutions, managed services and workforce recruitment to enterprise clients. The company delivers cloud, digital and data services (including AI/ML and automation), application innovation, Agile/DevOps transformation, technology operations and digital experience work, and operates large-scale talent and managed service programs. TEKsystems works across industries (financial services, healthcare, public sector, telecommunications, retail/manufacturing, energy and more), maintains technology partnerships with major cloud and software providers, and reports more than $7B in annual revenue and 100+ locations worldwide.

📋 Description

• Own the product vision, roadmap, and backlog for enterprise data and agentic AI capabilities • Translate business needs into outcome-driven product/service requirements and architecture • Define success metrics for data reliability, AI agent effectiveness, automation value, and operational efficiency • Develop PRDs, user stories, and acceptance criteria focused on operability, reuse, and scalability • Lead cross-functional delivery across data engineering, ML engineering, platform, security, and client stakeholders • Plan and execute programs spanning DataOps, MLOps, and Agentic AI workflows using Agile methods and AI tools • Manage dependencies, risks, timelines, and multiple client workstreams • Establish delivery governance, design reviews, readiness checks, operational handoffs, and post-launch validation • Drive implementation and modernization of enterprise DataOps capabilities, including ingestion, transformation, orchestration, data modeling, metadata, lineage, data quality, and observability • Partner with architects to ensure data tooling is production-ready, secure, and governed • Define and track data SLAs, quality thresholds, and operational metrics • Lead productization and delivery of Agentic AI systems, including agent orchestration, RAG, tool-using agents, and multi-agent workflows • Ensure prompt/workflow versioning, evaluation frameworks, benchmark testing, human-in-the-loop controls, fallbacks, observability, logging, and traceability • Balance accuracy, latency, cost, reliability, and safety through experimentation and data-driven tuning • Partner with security, legal, and compliance teams on PII handling, model access, prompt retention, auditability, change management, and incident response • Serve as a trusted partner to client product delivery leaders and sales executives • Communicate tradeoffs, progress, risks, and value realization across client and internal ecosystems

🎯 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, quality data sets, and/or AI/ML systems into production • Practical experience with RAG pipelines, embeddings, vector databases, agent orchestration, workflow graphs, and tool/function calling using open APIs • Experience authoring PRDs, roadmaps, program plans, and executive readouts • Strong communication and stakeholder-management skills in enterprise environments • Background in consulting or client-facing delivery environments such as Sales Support • Ability to operate independently on ambiguous and complex problem spaces • Ability to make architectural and product tradeoffs grounded in data and delivery realities • Advanced degree is a plus • Experience delivering AI solutions in regulated or compliance-heavy industries is preferred • Familiarity with LLM hosting and deployment patterns • Exposure to LLMOps and MLOps using open tooling • Experience designing reference architectures or accelerators for reuse across clients • Hands-on understanding of orchestration, transformation/modeling, data quality/validation, and metadata/lineage tooling

🏖️ Benefits

• Medical, Dental, and Vision • Critical Illness, Accident, and Hospital coverage • 401(k) Retirement Plan with pre-tax and Roth post-tax contributions • 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) • Additional earnings may be available through annual bonuses and profit sharing