Senior Product Manager - AI Agent

Company Description

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. About Spark  Spark is Nexthink's personal IT agent for every employee. Built on the Nexthink Infinity platform, it combines real-time endpoint telemetry, AI-driven diagnostics, and IT-approved automation to resolve issues in seconds, with no queues, no handoffs, and no tickets. 

• Solution Consultant - (Boston - Hybrid)

What You'll Do

• Own the strategy, roadmap, and delivery for your area of Spark. 
• Work directly with enterprise customers to understand what employees actually experience, not what the ticket data claims they experience. 
• Partner daily with engineering, applied AI, and design to ship agent capabilities that are reliable, safe, and observable. Autonomous action on an employee's device is a high-trust operation, so you'll help define the guardrails as much as the features. 
• Define how success is measured, and be rigorous about what the data supports and what it doesn't. 
• Turn ambiguity into sequenced, defensible priorities, then communicate them clearly enough that engineering, sales engineering, and leadership all reach the same conclusion. 
• Stay close to the frontier of agentic AI and translate what's newly possible into what we should build next. 

What We're Looking For

• 5+ years in product management, including enterprise B2B SaaS shipped at scale. 
• Experience shipping products where you have personally participated in evaluation design, strategy, experimentation, and iterative optimization. 
• Demonstrated ability to structure ambiguity into clear priorities, and to say no with a reason. 
• Fluency with data. You can query it yourself, and you push back when framing outruns evidence. 
• Excellent written and spoken English, with the range to move between an engineering standup and an executive pre-read. 

Fähigkeiten

ML / AI

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