AI Product Manager

At Kixie, we’re on a mission to empower sales professionals with a powerful, all-in-one sales engagement platform. Our solution seamlessly integrates with CRMs to streamline workflows, increase efficiency, and drive better results. With features like automated outreach, real-time insights, and robust reporting, Kixie helps sales teams connect, communicate, and close deals faster than ever.

Behind our cutting-edge product are the individuals who drive it forward. We pride ourselves on fostering a collaborative, innovative, and supportive environment, where every team member’s contribution is an impact to our success! If you're someone who thrives on challenges, finds joy in solving meaningful problems, and seeks to help shape the future of sales engagement - Kixie is the place for you!

• We are seeking a confident, experienced, and entrepreneurial AI Product Manager to lead the development of next-generation AI-powered products. This role is onsite in Los Angeles and offers the opportunity to shape high-impact systems from conception to scale. You’ll work at the frontier of AI innovation, translating research into real-world applications, and driving growth strategies aligned with the company’s vision.
  
  If you thrive in fast-paced, ambiguous environments, and want to build transformative products that matter, this role is for you.

• Drive Product & Growth Strategy
  :
  Define and execute the product roadmap for AI-powered solutions, aligning with Business goals, customer needs, and market opportunities.
• Lead the Full Product Lifecycle
  :
  From ideation through launch and iteration, collaborate with engineering, design, legal, finance, and marketing to deliver high-quality, scalable products.
• Research & Market Understanding
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  Conduct deep user and competitive research to inform product direction. Anticipate industry trends, regulatory needs, and customer demands.
• AI Model Roadmaps & Integration
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  Partner with engineering teams to translate cutting‑edge AI/ML capabilities into impactful user‑facing features.
• Responsible AI Development
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  Define evaluation frameworks, feedback loops, and safeguards for safe, reliable, and ethical AI deployment.
• Scrappy Data Ownership
  :
  With no in‑house data science team, take direct ownership of data exploration, evaluation, and analysis to drive product decisions.
• Metrics & Iteration
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  Define KPIs, analyze data rigorously, and drive product improvements based on insights.
• Go-to-Market Leadership
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  Own product launches, collaborating with growth and marketing teams to ensure adoption and scale.
• Cross-Functional Leadership
  :
  Mentor team members, manage complex work streams, and ensure alignment across stakeholders in uncertain, frontier spaces.

• 8+ years of product management experience, with demonstrated progression in responsibility and scale.
• Proven track record building 0–1 products, either as a founder, early‑stage operator, or within a larger company.
• 2+ years working directly on AI/ML‑driven products or platforms. Bachelor’s degree (or higher) from a top‑tier university; technical or quantitative fields preferred.
• Strong technical proficiency in AI/ML fundamentals (LLMs, deep learning, supervised/unsupervised learning, model evaluation, deployment).
• Hands‑on with data: comfortable querying, analyzing, and interpreting datasets directly to guide decisions.
• Experience launching and scaling products, including navigating model explainability, fairness, and compliance challenges.
• Excellent communication skills, capable of translating complex technical concepts into clear product strategies.
• Data‑driven decision‑maker with strong analytical intuition. Comfortable in High‑growth, ambiguous environments requiring clarity, grit, and decisive execution.

• Experience in CaaS (Communication‑as‑a‑Service), Telephony, or Sales Enablement platforms.
• Familiarity with AI infrastructure and MLOps (e.g., model monitoring, automated training pipelines, inference optimization).
• Comfort with Python or SQL for product discovery and technical collaboration.
• Exposure to design thinking, UX research, and human‑in‑the‑loop AI solutions.
• Advanced degree in Computer…