Vice President, AI Engineering
Five9
Job Overview
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Job Description
Company Overview: Five9
Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
About the Role: Vice President, AI Engineering
As Vice President, AI Engineering, you will lead our team of talented software developers responsible for Five9’s AI Insights, Agent Assist, and GenAI Studio products. These products are in widespread usage today. You will be responsible for directing the next phase of the evolution of these products, significantly expanding their feature sets, improving their capabilities with the latest and greatest in AI technologies, and expanding their reach to more customers with better scale and enterprise capability. You’ll take end-to-end ownership, from development through operations.
Required Work Experience
- 10+ years experience in engineering management
- Experience leading Engineering delivery for Customer Experience AI products, including Agent Assistance, AI Agents, and Conversational Analytics
Required Skills
Technical Skills
AI / ML / GenAI Expertise
- Deep understanding of modern AI architectures: LLMs, RAG systems, embeddings, vector databases, multimodal models
- Practical experience integrating LLMs into production systems, including prompt orchestration, function calling, structured outputs, and multi-agent workflows
- Familiarity with model evaluation, A/B testing, safety techniques, latency/throughput trade-offs, and observability for AI systems
- Understanding of fine-tuning, distillation, and model optimization (quantization, pruning, MoE, etc.)
- Experience with applied ML for NLP, ASR/TTS, NLU, and agent-assist use cases preferred
Software Engineering Foundations
- Expert-level proficiency in Java and JVM-based ecosystems
- Strong command of modern distributed systems design: microservices, event-driven architectures, concurrency, and fault tolerance
- Experience in development and operations of software in public cloud (AWS, GCP, Azure). Nice-to-have: experience with Google Cloud Platform (GCP)
- Experience building highly scalable, low-latency systems for enterprise SaaS
- Strong understanding of API design (REST, gRPC), SDKs, and integrations with enterprise systems
- Proficiency with CI/CD (GitHub Actions, Jenkins, Spinnaker, etc.) and Infrastructure as Code (Terraform)
Operational Excellence
- Deep knowledge of SRE principles: SLIs/SLOs, incident management, error budgets
- Experience running 24×7 production systems at scale, ideally in multi-region global deployments
- Expertise in security, privacy, and compliance relevant to CCaaS environments (SOC2, GDPR, HIPAA, FedRAMP preferred)
- Solid grasp of network fundamentals (TCP/IP, HTTP/2/3, WebRTC basics, load balancing)
People & Leadership Skills
Engineering Leadership
- Proven ability to lead, mentor, and grow high-performing engineering teams across multiple disciplines (backend, ML, frontend, DevOps, SRE)
- Track record of hiring top-tier engineering leaders and technologists
- Ability to create a culture of excellence—high velocity, high quality, and accountability
- Strong conflict-resolution skills; able to navigate ambiguity and align cross-functional teams
Collaboration & Communication
- Exceptional written and verbal communication skills; able to clearly articulate vision, architecture, and trade-offs to both technical and non-technical audiences
- Comfortable partnering with Product, Design, Sales Engineering, Customer Success, and Executive Leadership
- Ability to inspire teams with a compelling technical vision and roadmap
Customer-Centric Mindset
- Deep empathy for customers and agents using Five9’s AI products
- Experience engaging customers directly to gather insights and validate direction
- Ability to translate customer problems into clear technical strategies and roadmaps
Organizational & Strategic Skills
Vision and Strategy
- Ability to define and execute the long-range engineering strategy
- Strong understanding of the AI competitive landscape; able to guide build-vs-buy decisions and partner evaluations
- Experience driving architectural modernization initiatives to scale AI products
Execution & Delivery
- Mastery of engineering execution frameworks—OKRs, agile methodologies, metrics-driven management
- Ability to balance innovation with reliability, velocity, and long-term maintainability
- Skilled in managing large, multi-quarter programs and cross-org dependencies
Budgeting and Resource Planning
- Proficiency with capacity planning, headcount allocation, staffing strategy, and forecasting infrastructure costs
- Experience negotiating vendor contracts, including AI model providers and cloud services
Change Management
- Ability to lead through rapid growth, shifts in technology, and organizational restructuring
- Experience merging teams, establishing new engineering sites, and building distributed engineering organizations
Work Location
This role is fully remote for candidates who reside outside the 50 mile radius of our San Ramon office. For candidates who reside within 50 miles of our San Ramon location, this role is Hybrid and would require 3 days a week (M, W, TH) in our San Ramon office.
Compensation and Benefits
As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process.
Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans.
Our total reward package also includes:
- Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents
- Generous employee stock purchase plan
- Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave
All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties.
The US base salary range for this role is below.
$233,000—$512,000 USD
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
Key skills/competency
- AI/ML/GenAI Expertise
- Engineering Leadership
- Distributed Systems
- SaaS Development
- Operational Excellence (SRE)
- Customer Experience AI
- Strategic Planning
- Java & JVM Ecosystems
- Cloud Platforms (AWS, GCP, Azure)
- CI/CD & IaC (Terraform)
How to Get Hired at Five9
- Research Five9's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Highlight AI leadership: Showcase success leading complex AI product engineering and innovation.
- Detail technical mastery: Emphasize expertise in GenAI, distributed systems, and cloud-native development.
- Demonstrate strategic impact: Articulate a clear vision for scaling AI products and driving architectural modernization.
- Prepare for behavioral questions: Focus on leadership, conflict resolution, collaboration, and customer-centric problem-solving.
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