Senior Product Manager

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world's largest global brands.

Some of the largest brands are already using Netomi AI's platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world's leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company's success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution We should talk.

We're looking for an experienced Senior Product Manager to help bring impactful AI/ML capabilities to life for our growing client base. The ideal candidate has experience with advanced AI/ML technologies especially Large Language Models (LLMs), prompt management, and AI observability and a deep understanding of how to develop intelligent solutions that drive real business value. We seek someone who is self-motivated, passionate about solving complex problems, and confident in making independent, high-impact decisions all while thriving in a fast-paced startup environment. If you're excited about shaping the future of AI-driven products and making a meaningful impact, we'd love to hear from you!

Responsibilities

• Take complete ownership of end-to-end product focus areas, ensuring strong execution while keeping users needs at the forefront.
• Deeply understand core business challenges and transform them into meaningful, actionable features that truly impact users, leveraging cutting-edge AI and NLP techniques.
• Thoughtfully prioritize high-impact features to maximize value, with a specific focus on integrating LLM-based solutions, prompt engineering, and ML observability.
• Leverage market and competitor insights to craft a product strategy that not only differentiates but also genuinely serves customers—particularly in the realm of conversational AI and generative ML applications.
• Collaborate closely with Product, Engineering, Sales, Marketing, and Customer Success teams ensuring alignment and championing customer needs in contact center and AI-driven solutions.
• Create clear, insightful product briefs, roadmaps, and user stories to guide seamless development and rollout, especially for products that involve LLM/NLP capabilities.
• Partner with the UX team to design intuitive, accessible, and delightful user experiences that harness natural language interfaces and generative AI.
• Work hand-in-hand with Engineering to remove roadblocks, streamline execution, and bring the product vision to life, including robust monitoring and observability for AI models in production.
• Collaborate with Data Science teams to guide research initiatives, shape model development priorities, and ensure rapid translation of prototypes into scalable product features that address real-world customer needs.
• Adapt swiftly to changing priorities, balancing business impact with customer expectations and evolving market conditions—particularly as the AI/ML landscape advances rapidly.
• Foster open knowledge-sharing and alignment across teams, ensuring everyone feels connected to the product vision and empowered to contribute in our agile, fast-paced environment.

Requirements

• Engineering degree with 5+ years of progressive product management experience; an MBA from a Tier 1 institute is a plus.
• Experience working in a startup with small teams is a must, in a role focused on independent decision-making and driving impactful AI/ML initiatives.
• Proven success in delivering AI/ML-driven SaaS products with measurable business impact, managing multiple initiatives, and making data-driven decisions for tangible results. Familiarity with LLMs, prompt management, and NLP techniques is highly desirable.
• Demonstrated ability to collaborate with Data Science teams, effectively bridging research efforts and commercial product requirements to accelerate development and ensure innovation directly translates into customer value.
• Keen attention to detail with the ability to clearly explain complex ideas, both in writing and speech—particularly around AI observability, model performance, and data pipelines.
• Strong interpersonal and communication abilities, with a talent for influencing stakeholders across all organizational levels, including technical and non-technical audiences.
• Experience with customer service/contact center platforms is a plus, especially if involving AI-driven automation or virtual agents.
• Familiarity with Agile, Scrum, and Lean Startup methodologies, with experience in rapid prototyping environments ensuring quick iterations and continuous improvement of AI-enabled products.