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data analytics b2b saas saas machine learning ai📋 Description
- Define the roadmap and lifecycle for AI innovations in Agent Assist.
- Lead cross-functional work with Engineering, Data Science, and Design.
- Collaborate with clients and GTM teams to run beta tests.
- Refine real-time agent-assist based on insights and analytics.
- Drive data-driven decisions and track KPIs for adoption.
- Operate autonomously in enterprise AI deployments.
🎯 Requirements
- Bachelor's degree in CS, Engineering, or related field; MBA a plus.
- 4+ years in SaaS product management across startups and enterprises.
- Proven PM leadership delivering B2B SaaS solutions.
- Experience in Contact Center domain and AI-driven products.
- Deep understanding of ML lifecycles: data, training tradeoffs, analytics.
- Execution-oriented, autonomous, able to drive initiatives.
🎁 Benefits
- Health, dental & vision coverage from day one.
- Mental health resources and coaching for employees.
- Generous employee stock purchase plan.
- Paid time off, holidays, volunteer hours, parental leave.
- Competitive total rewards and performance bonus.
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