Job Description

Roles & Responsibilities

About Lucidya Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth. Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value. Why this role matters Customer service is evolving faster than ever. Customers expect instant, personalized support, while support teams are under constant pressure to resolve issues faster without sacrificing quality. AI is fundamentally changing how support organizations operate, and we're building the products that will define that future. As our Principal Product Manager , you'll own the strategy and direction of Lucidya's Customer Service Suite , including OmniServ, our ticketing and case management platform, mobile experience, and the AI-powered capabilities that enable support teams to work smarter. This isn't a role where you'll simply manage a backlog. You'll define where the product goes, make difficult prioritization decisions, and shape experiences that thousands of users rely on every day. You'll spend time with customers, understand how they actually work, and turn those insights into products that solve meaningful problems. We're looking for someone who enjoys solving complex challenges, questions assumptions, and is excited by building products where AI creates real customer value - not simply because it's the latest trend. What You'll Do Own the vision, strategy, and roadmap for Lucidya's Customer Service Suite, ensuring every investment moves the product closer to solving meaningful customer problems. Spend time with customer support teams, operations leaders, and enterprise customers to deeply understand how they work, where they struggle, and what would genuinely improve their day-to-day experience. Work closely with Engineering and Design to continuously deliver valuable improvements, favouring learning through iteration over waiting for perfection. Make thoughtful product decisions by balancing customer needs, business priorities, technical complexity, and long-term platform strategy. Champion AI-powered experiences that genuinely improve agent productivity and customer outcomes, rather than adding technology for technology's sake. Partner with Customer Success, Sales, and Marketing to ensure new capabilities are successfully adopted and create measurable business impact after launch. Use customer feedback, product analytics, market trends, and experimentation to continuously improve the product and validate product decisions. Create alignment across stakeholders by communicating product strategy, priorities, trade-offs, and roadmap decisions with clarity and confidence. Build trust across cross-functional teams by creating a collaborative environment where great ideas can come from anyone. Who You Are You've spent 7-9 years building B2B SaaS products and have owned a product or product suite end-to-end not just individual features. You enjoy solving customer problems more than shipping features. You naturally ask "What problem are we solving?" before deciding "What should we build?" You're comfortable making difficult prioritization decisions and explaining the reasoning behind them, even when not everyone agrees. You enjoy spending time with customers and believe the best product decisions come from understanding real user behaviour rather than assumptions. You collaborate exceptionally well with engineers and designers. You don't need to write production code, but you're technical enough to challenge ideas, understand trade-offs, and make informed decisions together. You're naturally curious. Whether it's a new AI capability, workflow automation tool, or emerging technology, you've probably already experimented with it before someone asked you to. You value progress over perfection and know when it's time to ship, learn, and iterate. You're comfortable using data to support your decisions but know that numbers alone rarely tell the full story. You communicate clearly with technical and non-technical audiences alike and can simplify complex ideas without oversimplifying the problem. You're fluent in both Arabic and English , enabling you to work closely with our customers across the region. You'll likely have experience with Product management platforms such as Jira and Confluence. Collaboration tools including Miro and Figma. Product analytics platforms such as Mixpanel, Amplitude, or similar. SQL for exploring product data and validating hypotheses. Customer support platforms such as Zendesk, Freshdesk, Intercom, Salesforce Service Cloud, or similar. Generative AI tools such as ChatGPT, Claude, GitHub Copilot, or equivalent productivity tools. Bonus points if you have: Previously worked in Customer Support, Customer Success, Contact Centres, or Service Operations before moving into Product. Built AI-powered workflows or automation products that delivered measurable customer outcomes. Experience designing or building enterprise customer service software. What Success Looks Like (First 6 Months) Within your first six months, you'll have built a deep understanding of Lucidya's Customer Service Suite, our customers, and the workflows that power their support operations. More importantly, you'll have: Become the go-to product leader for the Customer Service Suite, with a deep understanding of both the product and the customer problems it solves. Shipped meaningful improvements to OmniServ or the mobile experience that customers notice and that measurably improve how support teams work. Earned the trust of Engineering, Design, and cross-functional stakeholders by making thoughtful product decisions, communicating trade-offs clearly, and consistently delivering value. Built strong relationships with customers and established a regular feedback loop that directly influences product priorities. Defined and communicated a clear product roadmap that balances customer needs, business priorities, and long-term product strategy. Identified opportunities to leverage AI and automation in ways that create genuine value for support teams rather than simply introducing new technology. What the hiring process will look like Our hiring process is designed to help both you and us determine whether this is the right fit.

Desired Candidate Profile

You've spent 7-9 years building B2B SaaS products and have owned a product or product suite end-to-end not just individual features. You enjoy solving customer problems more than shipping features. You naturally ask "What problem are we solving?" before deciding "What should we build?" You're comfortable making difficult prioritization decisions and explaining the reasoning behind them, even when not everyone agrees. You enjoy spending time with customers and believe the best product decisions come from understanding real user behaviour rather than assumptions. You collaborate exceptionally well with engineers and designers. You don't need to write production code, but you're technical enough to challenge ideas, understand trade-offs, and make informed decisions together. You're naturally curious. Whether it's a new AI capability, workflow automation tool, or emerging technology, you've probably already experimented with it before someone asked you to. You value progress over perfection and know when it's time to ship, learn, and iterate. You're comfortable using data to support your decisions but know that numbers alone rarely tell the full story. You communicate clearly with technical and non-technical audiences alike and can simplify complex ideas without oversimplifying the problem. You're fluent in both Arabic and English , enabling you to work closely with our customers across the region. You'll likely have experience with Product management platforms such as Jira and Confluence. Collaboration tools including Miro and Figma. Product analytics platforms such as Mixpanel, Amplitude, or similar. SQL for exploring product data and validating hypotheses. Customer support platforms such as Zendesk, Freshdesk, Intercom, Salesforce Service Cloud, or similar. Generative AI tools such as ChatGPT, Claude, GitHub Copilot, or equivalent productivity tools. Bonus points if you have: Previously worked in Customer Support, Customer Success, Contact Centres, or Service Operations before moving into Product. Built AI-powered workflows or automation products that delivered measurable customer outcomes. Experience designing or building enterprise customer service software.