Remote Product Lifecycle Jobs in Washington (NOW HIRING)

Job Title: AI Product ManagerLocation-Type: Remote (U.S. Based)Start Date Is: ASAPEmployment Type: PermanentCompensation Range: $140,000–150,000 Base SalaryBenefits: Comprehensive Medical, Dental, Vision, PTO, 401(k), and Company BenefitsTravel: Approximately 25% (Quarterly Product Summits, Customer Meetings, and Team Offsites)Must be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description

Seeking an experienced AI Product Manager to lead the rapid experimentation, validation, and launch of AI-powered B2B products. This individual will partner closely with customers, Product leadership, AI engineers, and cross-functional stakeholders to transform innovative ideas into production-ready solutions that deliver measurable business value.

This role requires an entrepreneurial product leader who thrives in ambiguity, enjoys solving complex customer problems, and has a proven track record of building AI products from concept through launch. The ideal candidate has experience leading customer discovery, rapidly prototyping new capabilities, validating solutions through pilot programs, and balancing innovation with regulatory and governance requirements.

Day-to-Day Responsibilities

• Lead AI product initiatives from concept through pilot, launch, and ongoing product evolution
• Partner directly with customers to identify business challenges, validate AI solutions, and gather feedback throughout pilot engagements
• Collaborate closely with AI engineers, designers, and cross-functional teams to rapidly prototype, test, and iterate on new AI capabilities
• Own and prioritize the product backlog within Jira, making roadmap decisions based on customer feedback, business value, and technical feasibility
• Drive product discovery activities including user research, experimentation, proof-of-concepts, mockups, MVP development, and rapid validation
• Translate successful pilots into scalable, production-ready AI product capabilities
• Navigate AI governance, compliance, privacy, and regulatory considerations throughout the product lifecycle
• Partner with Product, Engineering, Design, Customer Success, and Go-to-Market teams to deliver high-impact AI solutions
• Monitor product performance, customer adoption, and success metrics to continuously improve AI-powered experiences
• Communicate product vision, priorities, roadmap decisions, and business outcomes to executive leadership and key stakeholders
• Champion an experimentation mindset while balancing speed, quality, and long-term product strategy

Minimum Requirements

• 5 years of Product Management experience with recent ownership of AI-powered software products
• Demonstrated experience launching AI or Generative AI products within a B2B SaaS environment
• Experience leading products from concept through customer validation, pilot programs, and production launch
• Strong customer discovery experience with the ability to translate customer feedback into product strategy and roadmap decisions
• Experience partnering directly with AI/ML engineers to rapidly prototype, validate, and deliver innovative solutions
• Experience prioritizing product backlogs and managing Agile development processes using Jira
• Strong understanding of AI technologies including Large Language Models (LLMs), Generative AI, Machine Learning, Computer Vision, or related technologies
• Experience working within regulated industries or navigating governance, privacy, security, or compliance considerations
• Excellent communication, stakeholder management, prioritization, and cross-functional leadership skills
• Entrepreneurial mindset with the ability to operate independently in fast-paced, evolving product environments

Preferred Qualifications

• Experience building 0-to-1 AI products or launching entirely new product lines
• Background working within AI Innovation Labs, Emerging Technology teams, or startup environments
• Experience with AI-powered customer experiences, copilots, intelligent assistants, or workflow automation
• Experience bringing proof-of-concepts and MVPs into commercial production
• Experience supporting enterprise B2B SaaS platforms serving government, financial services, healthcare, or other highly regulated industries
• Familiarity with prompt engineering, retrieval-augmented generation (RAG), AI evaluation frameworks, or AI governance best practices
• Experience collaborating with executive leadership to define product strategy, prioritize investments, and drive innovation initiatives
• Passion for leveraging AI responsibly to solve meaningful customer problems while delivering measurable business outcomes