We are looking for Senior AI Product Manager - Remote / Telecommute for our client in Redmond, WA
Job Title: Senior AI Product Manager - Remote / Telecommute
Job Location: Redmond, WA
Job Type: Contract
Pay Range: $55.00hr - $60.00hr
Job Overview:
The candidate will lead the strategy, roadmap, and delivery of AI-powered products and capabilities. This role will bridge business objectives, customer needs, data science, engineering, and user experience teams to build scalable, responsible, and high-impact AI solutions. The successful candidate combines strong product management expertise with a solid understanding of Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Large Language Models (LLMs), and enterprise AI governance. The role requires defining product vision, prioritizing investments, measuring business impact, and ensuring successful adoption of AI capabilities.
Key Responsibilities:
- Define and execute the AI product vision, strategy, and roadmap aligned with business objectives.
- Identify high-value AI and GenAI opportunities across business functions and customer journeys.
- Create Product Requirement Documents (PRDs) and translate business challenges into scalable AI-powered solutions describing business impact, technical feasibility, and customer value.
- Use ADO to maintain product backlogs, user stories, acceptance criteria, and release plans.
- Establish success metrics, KPIs, and measurable business outcomes for AI initiatives.
- Collaborate with AI Architects and Engineers to define model requirements and evaluation criteria.
- Drive development of AI/ML, LLM, RAG, Copilot, and Agentic AI solutions.
- Define model performance metrics including accuracy, precision, recall, latency, and user satisfaction.
- Ensure AI products are scalable, secure, and production ready.
- Drive end-to-end product lifecycle management from concept to deployment and continuous improvement.
- Ensure compliance with Responsible AI, security, privacy, and regulatory requirements.
- Define AI governance frameworks, guardrails, bias mitigation strategies, and model monitoring processes.
- Establish monitoring approaches for model drift, hallucinations, and operational risks.
Required Qualifications:
- Bachelor s degree in Computer Science, Engineering, Data Science, Business, or related field.
- 8+ years of Product Management experience.
- 3+ years leading AI, ML, GenAI, or Data-driven products.
- Experience managing enterprise-scale digital products, product strategy, and roadmap development.
- Understanding of Machine Learning, Deep Learning, NLP, and Generative AI.
- Experience with LLMs, Prompt Engineering, RAG, Vector Databases, and AI Agents.
- Knowledge of AI evaluation frameworks and experimentation methodologies.
- Understanding of AI architecture, APIs, integrations, and MLOps concepts.
- Ability to define KPIs and product success metrics.
- Excellent communication and storytelling skills.
- Stakeholder management and executive communication experience.
- Ability to influence executive stakeholders and cross-functional teams.
Preferred Qualifications:
- Experience building Copilots, Agentic AI applications, or enterprise GenAI platforms.
- Familiarity with enterprise AI frameworks, OpenAI, Copilot ecosystems, Databricks, or Vertex AI.
- Experience with AI governance, Responsible AI, and enterprise compliance frameworks.
- Knowledge of experimentation, A/B testing, telemetry, and product analytics.
====
Benefits
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Never miss an opportunity! Create an alert based on the job you applied for.
