Salary
💰 $129,000 - $207,000 per year
Job Level
Senior
Tech Stack
Microservices
About the role
- Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities
- Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation
- Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes
- Lead end-to-end product lifecycle for AI/ML features: ideation, validation, development, launch, and post-launch optimization
- Drive execution of product initiatives, ensuring timely and high-quality delivery that meets customer needs and business goals
- Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences
- Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible
- Partner with sales, marketing, and customer success on go-to-market strategies, enablement materials, and messaging
- Gather feedback from internal and external stakeholders and present product strategies and updates to executive leadership
Requirements
- 6+ years of product management experience in software development or related field
- Proven track record of successfully shipping products that have achieved market adoption and business impact
- Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
- Preferred: 3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment
- Strong understanding of AI/ML concepts, methodologies, and their practical applications (e.g., NLP, predictive analytics, generative AI, agentic workflows)
- Familiarity with data collection, labeling, model training, deployment, and monitoring for scalable AI solutions
- Understanding of modern software architecture principles, including microservices
- Exceptional communication, presentation, and interpersonal skills
- Strong analytical and problem-solving abilities, with a data-driven approach
- Ability to thrive in a fast-paced, ambiguous environment and manage multiple priorities effectively
- Master's degree preferred
- Certifications in product management (e.g., Pragmatic Marketing) or AI/ML
- Ability to travel up to 20%
- Reliable internet connection required during remote work periods