Senior Product Manager, Emplifi

• Is passionate about turning complex, unstructured data into clear insight and action
• Understands how enterprise marketers, analysts, and strategists use insights to guide decisions
• Can translate business challenges into scalable, data-driven solutions powered by AI and analytics
• Thrives in a space where technology, storytelling, and customer empathy meet
• 3+ years of experience in Product Management, ideally in B2B SaaS
• Track record of product impact – You’ve successfully led products through key stages of their lifecycle, whether taking over complex existing solutions or driving new launches, and can demonstrate how you improved outcomes and measured results
• Deep familiarity with AI in practice — you actively use AI tools to enhance your workflow and have experience defining, delivering, and iterating on AI-powered features that create tangible value for users
• High autonomy & maturity – You’re ready to own a product stream within your first 90 days, defining strategy, uncovering new problems, and driving delivery without hand-holding
• Global mindset – Comfortable collaborating with colleagues and customers across time zones and cultures
• Agile mindset – Experienced in iterative releases, and data-driven optimisation
• Technical fluency & AI awareness – You can talk architecture with engineers, understand how complex distributed systems fit together, and spot opportunities to apply the latest AI/ML advances to solve customer problems
• Fluent, persuasive communicator – You write, present, and negotiate confidently in English while actively listening, distilling insights, persuading stakeholders, and selling product value
• Proactive problem-solver – You spot issues, rally the right people, and deliver solutions. No waiting for task lists

Desirable

• We’re looking for an experienced, data-driven Senior Product Manager to shape the future of Emplifi’s Data Insights capabilities — a core product area that enables brands to understand conversations, uncover emerging topics, and act on market signals that matter most
• This is about building intelligence that helps brands understand what people care about, how perceptions evolve, and where opportunities arise across digital channels. You’ll be leading a product area that helps marketers and strategists collect the right data and turn them into actionable insight—at scale
• You’ll own the roadmap, vision, and execution for this strategic capability, partnering closely with design, engineering, data science, and go-to-market teams to create powerful, intuitive experiences for enterprise users. This includes managing integrations with external data providers to ensure scalable, high-quality access to insights
• In today’s world, tracking discourse, sentiment, and context across digital sources gives brands a competitive edge. Organizations that move fast to uncover trends, surface risks, and respond to emergent feedback win. You’ll lead a product at the intersection of data, AI, and strategy helping the world’s leading brands stay in tune with conversations, perceptions, and signals that shape their markets
• Own the vision and roadmap for one of the Data Insights product line — setting direction based on customer needs, market dynamics, and company goals
• Drive product discovery – talking to customers (brands and retailers), observing behavior, synthesizing data, and identifying unmet needs and opportunities
• Translate ideas into execution – write clear requirements, work with design and engineering, and iterate fast to deliver impactful, high-quality solutions
• Be a market expert – understand the competitive landscape and adjacent categories, monitor trends in ecommerce and AI, and translate them into product strategy
• Manage data partnerships and integrations – oversee connections with third-party data providers and APIs, ensuring consistent, reliable data access. Evaluate vendor performance, react quickly to API or data schema changes, and balance product impact against integration costs
• Partner cross-functionally – collaborate with Sales, Customer Success, Marketing, and Leadership to position the product for success across the customer lifecycle
• Measure what matters – define success metrics, analyze outcomes, and refine based on learnings to ensure continuous improvement and customer value