Product Manager

This is a fully remote position, open to applicants in Oregon.

📋 Description

• Take ownership of the product vision, roadmap, and backlog for enterprise data and agentic AI capabilities.

• Convert business needs into outcome-oriented product/service specifications and architecture.

• Establish success metrics for data reliability, AI agent effectiveness, automation value, and operational efficiency.

• Create PRDs, user stories, and acceptance criteria that emphasize operability, reuse, and scalability.

• Guide cross-functional delivery involving data engineering, ML engineering, platform, security, and client stakeholders.

• Plan and implement programs that encompass DataOps, MLOps, and Agentic AI workflows utilizing Agile methodologies and AI tools.

• Oversee dependencies, risks, timelines, and multiple client workstreams.

• Set up delivery governance, design reviews, readiness checks, operational handoffs, and post-launch validation.

• Propel the implementation and modernization of enterprise DataOps capabilities, including aspects like ingestion, transformation, orchestration, data modeling, metadata, lineage, data quality, and observability.

• Collaborate with architects to guarantee that data tooling is production-ready, secure, and governed.

• Define and monitor data SLAs, quality thresholds, and operational metrics.

• Lead the 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 optimization.

• Partner with security, legal, and compliance teams regarding PII handling, model access, prompt retention, auditability, change management, and incident response.

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

• Communicate trade-offs, progress, risks, and value realization across client and internal ecosystems.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Data/Analytics, or a related field.

• 7–10 years of experience in Product Management and/or Product Operations.

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

• Practical knowledge of RAG pipelines, embeddings, vector databases, agent orchestration, workflow graphs, and tool/function calling using open APIs.

• Experience in authoring PRDs, roadmaps, program plans, and executive summaries.

• Exceptional communication and stakeholder management skills in enterprise settings.

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

• Capability to work independently in ambiguous and complex problem spaces.

• Ability to make architectural and product trade-offs based on data and delivery realities.

• An advanced degree is a plus.

• Experience in delivering AI solutions in regulated or compliance-intensive industries is preferred.

• Familiarity with LLM hosting and deployment practices.

• Exposure to LLMOps and MLOps using open tools.

• Experience in designing reference architectures or accelerators for reuse across clients.

• Hands-on knowledge of orchestration, transformation/modeling, data quality/validation, and metadata/lineage tooling.

🏝️ Benefits

• Medical, Dental, and Vision coverage.

• Critical Illness, Accident, and Hospital insurance.

• 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 coverage.

• Health Spending Account (HSA).

• Transportation Benefits.

• Employee Assistance Program.

• Paid Time Off/Leave (PTO, Vacation, or Sick Leave).

• Additional earnings may be available through annual bonuses and profit sharing.