Product Manager, GTM Automation

You will shape the automation backbone of the GTM platform and decide where automation should exist and how humans must stay in the loop. You will own the end to end product from concept to production reality, collaborating with ML engineers, data scientists, designers, and operations to turn messy workflows into intelligent systems that deliver real results. The focus is on GTM including sales, marketing, partnerships, account management, and communications infrastructure, with an expectation to bring deep domain expertise while partnering across other functions to drive consistency and cohesion across platforms.

Responsibilities

• Own the strategy and roadmap for AI powered products that matter
• Identify automation opportunities rooted in real user pain and measurable business outcomes
• Turn ambiguous high stakes problems into clear product direction and requirements
• Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds
• Design and run experiments to test ideas fast and learn even faster
• Define product behavior across success paths, failures, and edge cases
• Set and own metrics for accuracy, safety, latency, reliability, and user trust
• Work with design to build human AI interactions that are intuitive, transparent, and safe
• Collaborate with legal, security, and compliance to ship responsible AI in regulated environments
• Lead cross functional execution from concept to launch and continuous improvement

Requirements

• 7 to 10 years of product management experience, with a strong track record shipping AI or ML driven products
• Deep technical intuition around machine learning systems including training loops, evaluation, prompt design, data pipelines, and real time inference constraints
• Experience running structured experiments such as A/B tests and offline model evaluations
• A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission
• Clear compelling communication skills for executive, technical, and operational audiences
• Experience working in scaled high stakes or regulated environments such as risk, compliance, or operations
• Strong understanding of AI quality, safety, and responsible use
• Hands on experience with LLMs, multimodal models, or applied generative AI

Benefits

• Remote work
• Medical insurance
• Flexible time off
• Retirement savings plans
• Modern family planning