• Define and execute the product vision, strategy, and roadmap for Stacks and project context experiences within Dropbox. • Clarify the relationship between folders, Stacks, Spaces, projects, Home, AI/chat experiences, and collaborative workflows to create a cohesive user mental model. • Build intelligent project context experiences that bring together Dropbox content, third-party references, comments, tasks, activity, status, versions, and AI-generated summaries in trusted workspaces. • Partner cross-functionally with Engineering, Design, Search, Connectors, Sharing, Platform, and AI teams to deliver scalable and intuitive user experiences. • Define onboarding flows, naming systems, promotion paths, and interaction patterns that help users understand when and why to use Stacks. • Establish product quality bars, experimentation frameworks, learning goals, and success metrics for early design partner programs and broader rollout strategies. • Translate complex technical tradeoffs around retrieval, permissions, freshness, connector reliability, and model behavior into clear product decisions that maintain user trust and simplicity.

• Author detailed user stories, acceptance criteria, and feature specifications for capabilities such as safety stock threshold configuration, order-at-risk dashboards, and AI-assisted stock transfer recommendations. • Translate ambiguous customer requirements into structured, engineering-ready backlog items with clear scope boundaries. • Own sprint-level backlog grooming in collaboration with the engineering manager, ensuring tickets are well-defined and prioritized before each cycle. • Conduct structured discovery sessions independently with supply chain planners, procurement leads, and operations teams. • Synthesize raw customer feedback, field notes, and survey data into prioritized problem statements and product hypotheses. • Maintain a continuous feedback loop with pilot customers during early rollouts, identifying adoption gaps and surfacing them as actionable product improvements. • Own integration requirement specifications — defining how data from ERP systems (SAP, Oracle), warehouse management systems, and demand planning tools flows into FourKites via flat-file SFTP, API, and EDI. • Work with Solutions Engineering to validate integration feasibility, data freshness requirements, and schema mapping during pre-sales and onboarding. • Identify and escalate data quality risks that could compromise dashboard accuracy during early customer deployments. • Partner closely with engineering, design, and Solutions Engineering throughout the feature lifecycle — from discovery through general availability. • Coordinate with Customer Success during pilot rollouts to ensure smooth adoption and capture post-launch learnings. • Support pre-sales activities by providing product clarity on capabilities, integration requirements, and roadmap direction.

• Serve as the enterprise TPM for risk, compliance, and regulatory programs • Own risk and regulatory initiatives that impact multiple products and technical platforms • Define and manage cross‑organizational scope, timelines, and priorities • Partner with Legal, Compliance, Privacy, Information Security, and Product teams to align on requirements • Drive cross‑organizational product development • Ensure teams understand regulatory expectations and build compliant solutions • Assess the impact of new and changing regulations on products and platforms • Create a framework that ensures products meet risk and compliance expectations

Role Description As Senior Product Manager, you'll be responsible for shaping how thousands of users discover, trust, and act on insights generated from millions of customer conversations. You'll define the vision, strategy, and roadmap across three key product areas: - Social Listening - Managed Channels Analytics - Voice of Customer (VoC) Your responsibility isn't simply delivering features. It's ensuring customers can confidently answer critical business questions about their customers, markets, competitors, and brand performance. You'll spend significant time understanding how customers currently make decisions, where they struggle to find trustworthy insights, and what prevents them from taking action. You'll challenge assumptions, validate problems, and ensure we're solving issues that matter before resources are committed. As AI becomes increasingly central to our platform, you'll help define what "trustworthy AI" means in practice. You'll evaluate opportunities using customer feedback, product data, market insights, commercial priorities, and strategic impact. You'll closely monitor customer behavior, adoption patterns, retention drivers, churn signals, and feedback loops. You'll collaborate across Engineering, Design, AI, Customer Success, Sales, Marketing, and Leadership teams. Qualifications - At least 5 years of product management experience, ideally within B2B SaaS environments. - Strong understanding of product management fundamentals. - Experience with social listening, media monitoring, Voice of Customer, customer intelligence, or research platforms (bonus). - Experience building AI-powered, analytics-heavy, or data-intensive products (bonus). - Familiarity with sentiment analysis, NLP, LLMs, recommendation systems, or automated research workflows (bonus). - Experience working with Arabic-language products, dialects, or regional customer behaviors (bonus). - Knowledge of MENA markets, particularly Saudi Arabia and the GCC (bonus). - Experience with platforms such as Brandwatch, Sprinklr, Meltwater, Talkwalker, Qualtrics, Medallia, or Brand24 (bonus). Requirements - Comfortable working with large datasets, analytics platforms, AI-powered products, or technically complex systems. - Ability to transform complexity into experiences that feel intuitive and useful to customers. - Regularly speak with customers, investigate workflows, validate assumptions, and seek evidence before committing to a direction. - Ability to balance analysis with action, make informed decisions under uncertainty, and adapt when new information becomes available. - Ability to explain technical concepts to non-technical audiences and customer problems to technical teams. - Measure success by customer adoption, customer value, and business impact rather than the number of features released. Benefits - Diverse experiences, perspectives, and backgrounds are valued. - Encouragement to apply even if not meeting every requirement. Company Description Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand, engage, and retain customers at scale. Our technology is built in-house and trained on millions of multilingual customer conversations, enabling brands across the MENA region to make better decisions, deliver better experiences, and build stronger customer relationships. As AI reshapes how businesses operate, we're building products that make customer understanding faster, more accurate, and more actionable than ever before.