Responsibilities

• Define and drive multi-team product and AI strategy shaping Replicant's vision for AI customer service.
• Own problems at product and company strategy level, balancing long-term bets with iterative delivery.
• Stay at frontier of AI capabilities, understanding large language models, voice AI, evaluation frameworks, and agentic architectures.
• Lead cross-functional initiatives with measurable business and customer impact across AI/ML, engineering, design, and go-to-market teams.
• Drive customer and market research regularly engaging customers, prospects, and industry leaders to gather signal on complex problems.
• Establish and own company-wide product metrics including accuracy, containment, task success rates, latency, CSAT, and cost efficiency.
• Communicate and inspire across audiences from engineering teams to executives, board, and customers.
• Coach and elevate the product team by leading through example, providing regular feedback, and driving hiring for senior and executive positions.

Requirements

• 8+ years of product management experience with significant time on AI/ML products, voice AI, or complex enterprise platforms.
• Deep technical fluency in AI/ML, understanding LLMs, model capabilities, architecture decisions; experience with prompt engineering, RAG, fine-tuning, or AI agent development is a strong plus.
• Proven track record solving large, ambiguous, complex problems across multiple teams.
• Success building AI-powered products shipped to production delivering measurable customer value.
• Exceptional communication and storytelling skills explaining complex AI concepts and facilitating large groups.
• Strong quantitative skills using complex data analysis to make decisions and lead company-wide metrics creation.
• Experience working directly with customers to understand requirements, present product vision, and influence enterprise deals.
• Comfort operating in fast-paced, evolving environments adapting to shifting customer needs and AI capabilities.

Nice to Have

• Experience with voice AI, speech recognition, or real-time conversational systems.
• Background in contact center technology, customer service platforms, or B2B SaaS.
• Coding proficiency to build prototypes, review technical designs, or engage with engineering trade-offs.
• MBA or equivalent business experience.