Junior Product Owner - #2195504

Join ConnexAI as a Junior Product Owner

Shape the future of customer experience. At ConnexAI, you’ll own core elements of the product lifecycle across our AI-powered customer engagement platform, bridging the gap between customer needs and engineering execution. Working directly with engineers, data scientists, UX designers, and senior stakeholders, you’ll translate complex business challenges into clear, high-impact product requirements and roadmaps.

Our platform unifies omnichannel communication, agentic AI, automated workflows, and speech/text analytics to transform how global enterprises connect with millions of customers every day. If you thrive in a fast-moving environment and have a passion for everything AI, from machine learning to speech recognition and voice cloning, then this is where you’ll make your mark.

About Us

Founded in 2013, ConnexAI (Connex One) set out to redefine how businesses interact with their customers. Today, we are a global customer engagement leader supporting enterprise clients worldwide, powered by a 500+ strong team spanning the UK, Europe, the Americas, Africa, and APAC.

Backed by a £93m Series C investment, we are scaling rapidly toward our vision of being the world’s definitive AI-driven customer engagement platform. Our cloud-native SaaS suite combines true omnichannel contact center capabilities with the latest in AI technology to elevate agent productivity and transform customer experiences at enterprise scale.

The Role:

As a Junior Product Owner, you will play a hands-on role in shipping intelligent, automated features across our AI-powered customer engagement platform. Partnering closely with other product owners, engineering squads, and data scientists, you will help groom, refine, and prioritise our backlog by balancing user-facing AI capabilities with business impact and feasibility.

You will translate complex machine learning workflows, model-driven enhancements, and customer feedback into well-structured user stories and clear acceptance criteria. Navigating dependencies between data pipelines, model evaluation, and software delivery, you will ensure sprints run smoothly from discovery to deployment.

The ideal candidate brings strong curiosity about applied AI, keen attention to detail, and the adaptability to thrive in an agile, fast-evolving tech environment.

Is This Role for You?

• You clearly communicate feature updates, user feedback, and AI capability summaries to engineering squads, stakeholders, and customer-facing teams.
• You can write well-defined user stories and acceptance criteria for software and AI features by defining expected model behaviors, edge cases, and sprint goals.
• You champion core Agile ceremonies (standups, refinement, retrospectives) to help maintain sprint momentum across software engineering and data science tracks.
• Investigate day-to-day product challenges, track sprint deliverables, and assist POs in making data-informed trade-offs to keep releases on schedule.
• Research competitor features, emerging applied AI trends, and customer pain points to uncover opportunities that strengthen our platform roadmap.
• Partner closely with data scientists, software developers, and UX designers to foster a curious, collaborative, and fast-learning squad environment.
• Support QA and engineering by verifying edge cases, validating conversational/AI feature responses, and ensuring releases meet strict quality benchmarks.

About You:

Essential:

• You are highly organised and focused, capable of managing, refining, and prioritising a backlog amidst conflicting, fast-moving deadlines.
• Genuine interest in how AI, machine learning, and automation can solve real-world customer problems.
• Meticulous attention to detail when testing features and reviewing outputs, while understanding the wider product goals.
• A collaborative self-starter who builds strong relationships with engineers, designers, and cross-functional stakeholders.
• Comfortable shifting gears quickly, from testing user stories to running sprint ceremonies or drafting concise documentation.

Desirable:

• Familiarity with modern AI tools, prompt workflows, or how conversational systems function.
• Hands-on experience with (or quick ability to learn) Jira, Slack, Figma, and standard product tools.
• Basic grasp of Agile/Scrum sprints, UI/UX principles, and the software development lifecycle.
• Comfort engaging with technical concepts, APIs, and data-driven feature testing.