Define and execute the product strategy for Komodo's internal AI platform, ensuring it meets diverse consuming teams' needs and aligns with company initiatives
Create a 6-12 month roadmap with outcome-oriented milestones and metrics and report on those metrics regularly
Drive development of tools and frameworks that simplify AI integration for internal and external teams
Accelerate development of AI-native applications by providing intuitive SDKs, APIs, and MLOps tools
Champion creation of an "agent factory" enabling design, build, and deployment of AI agents for various tasks and workflows
Establish and maintain controls and governance for responsible, ethical, and compliant AI development
Establish an operating rhythm around internal and customer feedback and translate needs into clear product specifications
Engage throughout the AI stack from infrastructure and data pipelines to model deployment and application-level integration to ensure cohesive end-to-end experience
Evangelize the platform's capabilities and provide guidance and support to internal and external teams
Serve as subject matter expert on AI technology trends and customer usage, sharing knowledge across the organization
Requirements
Previous experience in SaaS product management, with a strong focus on AI/ML infrastructure/platforms/developer tools
Deep understanding of the AI/ML landscape and trends, including various model types, training methodologies, deployment strategies, and MLOps principles
Proven experience building products that empower developers to be more efficient and productive
Familiarity with ethical AI considerations in regulated industries, such as healthcare
Excellent product fundamentals: business and technical communication; cross-functional collaboration; prioritization and roadmapping; customer-centricity and feedback gathering; data-driven decision making
Comfort navigating ambiguity to find clarity and direction
Prior experience in agile environments, with the ability to translate strategy into clear execution plans
Passion for solving problems in healthcare/life sciences
Expected to be a power user and advocate for leveraging AI in daily work
Nice to have: experience building products for life sciences/healthcare; experience with Healthcare data; experience with two-sided marketplaces; experience in a high growth startup
Benefits
performance-based bonuses (may be eligible)
equity awards (may be eligible)
comprehensive health, dental, and vision insurance
401(k) with company match / 401k Retirement Plan
flexible time off and holidays / paid time off for vacation, sickness, holiday, and bereavement
disability insurance and life insurance (100% company-paid life insurance and long-term disability insurance)
leaves of absence in accordance with applicable state and local laws and company policy
prepaid legal assistance
potential eligibility for company benefits in accordance with Company policy
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI platform developmentMLOpsSDKsAPIsAI-native applicationsSaaS product managementAI/ML infrastructuremodel deploymentdata pipelinesethical AI