VP of Data Science & AI Innovation

Five9

United States

Hybrid

USD 233,000 - 512,000

Full time

14 days+
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Benefits offered by this job

Health, dental & vision coverage
401k with company match
Stock purchase plan
Paid time off & holidays
Parental leave
Mental health resources
Volunteer time off

Job summary

Five9 is seeking a VP of Data Science to lead our in‑house data science team and drive AI product performance. You will oversee research, data collection, model evaluation, and deployment strategies, while directly contributing hands‑on work.

The role emphasizes collaboration with product, engineering, and executives to translate insights into customer value. You will grow the team, shape the data science roadmap, publish thought leadership, and engage with customers and industry forums to

Qualifications

  • 12+ years in data science or AI research, ideally in a top applied research org.
  • Deep expertise in modern AI/ML, LLMs, agentic architectures, and retrieval systems.
  • Proven ability to turn data insights into product improvements with business impact.

Responsibilities

  • Set technical direction for AI and data science across products.
  • Be hands-on, contributing code and experiments while guiding the team.
  • Grow the team and ensure we have the right talent across geographies.
  • Act as a spokesperson and collaborate with product, eng, and GTM teams.
  • Publish thought leadership and engage with customers and industry.

Skills

12+ years experience
LLMs & AI
Model fine-tuning
Data engineering
A/B testing
Python
ML Ops
Cloud platforms
Stakeholder management
Executive presence
Team leadership
Mentorship
Ethics & risk

Education

Ph.D. in CS/ML or related field
Advanced degree with industry experience

Tools

Python
ML tooling
Data pipelines

Job description

Five9 is seeking a VP of Data Science to lead our in‑house data science team and drive AI product performance. You will oversee research, data collection, model evaluation, and deployment strategies, while directly contributing hands‑on work.

The role emphasizes collaboration with product, engineering, and executives to translate insights into customer value. You will grow the team, shape the data science roadmap, publish thought leadership, and engage with customers and industry forums to

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