Product Manager, AI & Data Analytics
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Job Description
Product Manager creating AI and data-driven product strategies for advanced Data Fusion company. Working closely with various teams to shape product direction and innovation.
Responsibilities:
- 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:
- 3+ years of experience in product management, ideally in complex B2B technology environments.
- 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.
- Experience with graph analysis, data visualization, maps, dashboards, or big data platforms.
- Experience with user behavior analysis tools such as LogRocket or similar.
- Experience working with AI-powered features, decision-support tools, or automation products.
- Experience supporting sales or pre-sales activities through product demos, discovery, or customer-facing product discussions.
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
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