Apprentice- Product Management
Quick Summary
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.
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
~1 min readWe are looking for a high-potential Product Manager Apprentice to join our Product Management team working on next-generation Contact Center as a Service (CCaaS) platforms. This role is designed for early-career professionals who are passionate about building enterprise SaaS products and want hands-on exposure to AI-driven customer experience technologies and modern cloud-native architectures.
As a Product Manager Apprentice, you will work closely with Product Managers, Engineering, UX, Data Science, and GTM teams to define, build, and scale features across our CCaaS product lines — including AI-powered voice, digital, analytics, automation, workforce management and integrations platforms.
This is a learning-intensive role that provides real ownership, structured mentorship, and exposure to the full product lifecycle in a fast-growing SaaS environment.
Responsibilities
~1 min read- Assist in researching customer problems across contact center domains such as Inbound, outbound campaigns, agent experience, AI automation, analytics, Quality Management, Workforce Management, and integrations.
- Analyze market trends in CCaaS, AI in CX, cloud communications, and SaaS platforms.
- Support product managers in defining product vision, value propositions, and roadmap priorities.
- Work with AI/ML teams on features involving speech-to-text, NLP, LLMs, conversation intelligence, automation, and predictive analytics.
- Help translate AI capabilities into real-world customer use cases and measurable business outcomes.
- Contribute to defining product requirements for AI-enabled workflows and decisioning systems.
Requirements
~1 min read- Assist in creating Product Requirement Documents (PRDs), user stories, and acceptance criteria.
- Work closely with engineering teams using Agile/Scrum methodologies to support sprint planning, backlog grooming, and release execution.
- Participate in feature demos, UAT coordination, and release readiness activities.
- Gain hands-on experience with cloud-native, multi-tenant SaaS architectures, APIs, microservices, security, and scalability concepts.
- Support integration initiatives across CRM platforms (e.g., Salesforce), CPaaS providers, and enterprise ecosystems.
- Join customer calls, usability sessions, and beta programs to capture feedback and validate product direction.
- Support preparation of product documentation, internal enablement, and launch materials.
Responsibilities
~1 min read- →How enterprise CCaaS platforms are built and scaled.
- →How AI is productized — from model capability to customer value.
- →How to balance customer needs, technology constraints, and business strategy.
- →How modern SaaS companies execute product management at scale.
Requirements
~1 min read- Bachelor’s degree in Engineering or Computer Science (or related technical discipline).
- Strong interest in Product Management, SaaS platforms, AI technologies, and cloud computing.
- Basic understanding of software development concepts, APIs, and web technologies.
- Familiarity with Agile development practices is a plus.
- Strong analytical and problem-solving mindset.
- Excellent communication and structured thinking skills.
- Curiosity about AI, data platforms, and digital customer experience technologies.
- Ability to work cross-functionally with engineering, design, and business teams.
- Entrepreneurial mindset with a bias for action and learning.
What We Offer
~1 min readListing Details
- First seen
- April 3, 2026
- Last seen
- April 26, 2026
Posting Health
- Days active
- 23
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- April 26, 2026
Signal breakdown
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