Senior Product Manager (AI)
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!About the Role:
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.
Requirement
- 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.
Originally posted on Himalayas
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