NICE
LeadProductManager
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Product Manager at NICE. Skills: AI Assist ownership, Conversational AI, LLM-native design, Product strategy. Own AI Assist: vision, roadmap, delivery, adoption. Define in-product copilot needs for users”
What You'll Achieve.
Measure whether AI Assist changes platform usage; Ensure agent surfaces feel like one product; Point to product and business outcomes owned
Industry & Context.
Problem framing; Decision making in ambiguity
What They're Looking For.
Must Have
Lead PM experience, Conversational AI space experience, Experience shipping in conversational AI domain, Hands-on prototyping experience, Experience experimenting with new models and tools, Ability to hold own in architecture discussions, Product judgment, Ownership mindset, Experience operating independently in ambiguity
Nice to Have
Lead PM experience in conversational AI, LLM-enabled products, voice AI, or agentic systems, Shipped at least one production product in conversational AI space, Hands-on experience with copilots and in-product AI assistants, Hands-on experience with LLM gateways and routing, Hands-on experience with evaluations and observability, Hands-on experience with traces, Hands-on experience with embeddings and RAG, Hands-on experience with prompt engineering, Hands-on experience with agent frameworks, Enterprise SaaS background, Experience with multi-tenant systems, Experience with configurable systems, Experience with integration-heavy systems, Led cross-functional initiatives with distributed, international teams, Experience pointing to product and business outcomes owned
What You'll Do.
Own AI Assist: vision
Define in-product copilot needs for users
Ship AI Assist and measure impact
Scale AI Assist horizontally across products
Lead teams shipping agent building experience
Lead teams shipping traces
Lead teams shipping LLM platform
Set joint direction for agent experience teams
Make prioritization calls for agent experience teams
Ensure agent surfaces feel like one product
Partner with engineering and design
Prototype own ideas with AI tooling
Operate with credibility to executive stakeholders
Set bar for product craft on team
Raise level of PMs around you
How You'll Work.
Team & Collaboration
Partner with engineering and design as technical peer; Raise level of PMs around you through example; Raise level of PMs around you through direct partnership; Make better decisions because of people you work with; Enable others to make better decisions because of you
Process & Methodology
Roadmap development, Delivery management, Prioritization
Full Job Description
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Role Overview As Lead Product Manager at NICE Cognigy, you will directly own AI Assist — the in-product AI copilot that scales across the entire CXone platform and every use case it supports — and you will lead across the broader Agent experience inside Cognigy (NICE's agent builder within CXone), including the agent building experience, traces, and the LLM platform. You set the direction, make the calls, and are accountable for outcomes end-to-end. You will report to the Director of Product. This is a Lead role for someone who is already operating at this level today. You have run product streams independently, you set the bar for the PMs around you, and you bring an informed point of view on where the conversational AI space is going — because you are already building in it. We are AI-first in how we build product. Prototypes over decks. Lighter PRDs, sharper artifacts. We ship our way to clarity rather than write our way there. What You Will Do You will own AI Assist directly: vision, roadmap, delivery, and adoption across CXone. You will define what an in-product copilot needs to do for the full range of CXone users and use cases, ship it, and measure whether it actually changes how the platform gets used. Scaling AI Assist horizontally — across products, personas, and surfaces — is the core challenge of this role. Across the wider Agent experience inside Cognigy, you will lead and align the teams shipping the agent building experience, traces, and LLM platform. You will set the joint direction, make the prioritization calls that span those teams, and ensure the surfaces feel like one product. You will partner with engineering and design as a technical peer, prototype your ow
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