Senior Product Manager, AI & Machine Learning Solutions

Job Description

Senior Product Manager, AI & Machine Learning Solutions | Not Specified

The Tone:
This is a full-time role at Not Specified, located in San Francisco, CA (with a hybrid model available). The company builds intelligent, data-driven solutions that transform enterprise operations. This role is pivotal in empowering businesses with artificial intelligence and machine learning technologies that drive efficiency, enhance decision-making, and create unparalleled customer experiences. They foster a collaborative environment where creativity, intellectual curiosity, and impact are highly valued.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Hybrid, San Francisco, CA

• Mission: This person defines, develops, and launches innovative products and features that leverage artificial intelligence to solve complex customer problems.
• Tech Stack: Agile/Scrum development methodologies and tools, AWS SageMaker, Azure ML, Google AI Platform, data visualization tools

What You’ll Actually Do
• Product Strategy: Define and articulate a compelling product vision and strategy for AI/ML-driven features and products.
• Market Research: Conduct in-depth market research and customer interviews to identify unmet needs and opportunities in the AI/ML landscape.
• Roadmap Development: Develop and maintain a clear, prioritized product roadmap, balancing long-term strategic initiatives with short-term tactical needs.
• Feature Definition: Translate user needs and business requirements into detailed product specifications, user stories, and acceptance criteria.
• Cross-functional Collaboration: Collaborate effectively with engineering, data science, UX/UI design, sales, marketing, and customer success teams throughout the product lifecycle.

The Must-Haves
• Background: Bachelor’s degree in Computer Science, Engineering, Business, or a related technical field; Master’s degree preferred.
• Experience: 5+ years of product management experience, with at least 2-3 years specifically focused on AI, machine learning, or data-intensive products, demonstrating ability to drive product strategy and execution.
• Skills: Strong understanding of machine learning concepts, algorithms, and development lifecycles; experience with Agile/Scrum methodologies; excellent communication and presentation skills.
• Bonus: Experience with cloud-based AI/ML platforms, familiarity with data visualization tools, a technical background (e.g., former software engineer, data scientist), and experience with B2B SaaS products.