Senior Product Manager, AI & Data Analytics

Role Overview

• Define and drive product strategy, roadmap, and priorities for AI, analytics, data fusion, and intelligence-related product capabilities
• Translate complex customer, operational, and business needs into clear product requirements and priorities
• Work closely with engineering to shape feasible, valuable, and scalable product solutions
• Partner with sales, pre-sales, customer-facing teams, and leadership to understand customer needs, market opportunities, and commercial priorities
• Balance long-term product vision with short-term delivery needs in a fast-changing environment
• Identify opportunities for innovation, product differentiation, automation, and better use of AI/data capabilities
• Use customer feedback, user behavior, product data, and market insights to improve product value, usability, and adoption
• Conduct competitive analysis and evaluate external products, APIs, integrations, and technologies that could enhance our product offering
• Manage stakeholder expectations, align conflicting priorities, and drive clear product decisions
• Support product adoption across different markets, customers, and use cases

Requirements

• 5+ years of experience in product management
• Proven experience managing complex products with multiple stakeholders, technical dependencies, and business priorities
• Experience with AI, analytics, machine learning, data platforms, intelligence products, fraud/risk solutions, or other data-heavy products
• Strong understanding of B2B product dynamics, including customer discovery, sales cycles, pilots, renewals, adoption, and commercial impact
• Ability to connect product decisions to customer value, revenue opportunities, and business outcomes
• Strong stakeholder management skills, with experience aligning engineering, sales, customers, and senior leadership
• Experience working in a startup, scale-up, or fast-changing product environment
• Ability to work independently, take ownership, and drive product direction without heavy guidance
• Strong technical understanding of cloud-based platforms, APIs, data flows, and data-driven products
• Excellent communication skills, with the ability to clearly explain product decisions, trade-offs, and priorities
• Agile mindset, flexibility, and comfort with ambiguity, changing priorities, and short delivery cycles
• Nice to have: Experience in public safety, intelligence, law enforcement, fraud detection, risk, compliance, or cybersecurity products
• Nice to have: Experience with graph analysis, data visualization, maps, dashboards, or big data platforms
• Nice to have: Experience with user behavior analysis tools such as LogRocket or similar
• Nice to have: Experience working with AI-powered features, decision-support tools, or automation products
• Nice to have: Experience supporting sales or pre-sales activities through product demos, discovery, or customer-facing product discussions

Tech Stack

• Cloud
• Cyber Security

Benefits

• Working from home
• Flexible hours
• Yearly performance bonus
• Paid medical insurance
• Daily lunch allowance
• Sport/Gym(Exercise) allowance
• Udemy unlimited subscription
• Onboarding plan and training
• Equipment support
• No dress code
• Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones
• Happy hours, coffee time, online team building, company events, and much more
• Fresh fruit, snacks, coffee, and tea at the office