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Shape strategy and roadmap: Define vision, north-star metrics, and phased initiatives for reporting, analytics, and predictive intelligence capabilities aligned to Platform business goals and MSP partner needs across our cyber protection portfolio
Deeply understand customers and partners: Engage MSP partners, IT admins, and end users through interviews, discovery calls, analytics, and surveys; translate insights into clear problem statements, use cases, and PRDs for intelligence-driven features across endpoints, Microsoft 365, Google Workspace, and other protected environments
Lead market & competitive analysis: Research analytics and AI/ML capabilities in cyber protection and SaaS security platforms, identify differentiation opportunities, and define pricing/packaging strategies for intelligence features
Drive AI-powered innovation: Define and deliver predictive intelligence capabilities that anticipate security threats, identify anomalies, recommend remediation actions, and optimize cyber protection for MSP partners; leverage machine learning to surface actionable insights from platform data across endpoints, M365, Google Workspace, and cloud workloads
Enable automation workflows: Define intelligence capabilities that drive automated billing, ticket resolution, and operational workflows for MSP partners, reducing manual effort and improving efficiency
Drive execution: Prioritize backlogs, write crisp requirements, and collaborate with design, engineering, and data science teams to ship high-quality analytics and intelligence features on time
Partner on GTM: Work with Marketing, Sales, and Partner Success to build positioning, messaging, demos, and enablement materials; support launches and field training on intelligence capabilities, particularly for our fastest-growing Microsoft 365 protection offerings
Run beta/pilot programs: Define entry/exit criteria for new analytics features, instrument feedback loops, validate product-market fit with MSP partners, and convert early adopters
Enable field teams: Keep Sales, Solution Engineers, and Partner Success current on intelligence capabilities, competitive differentiators, and use cases; provide data-driven insights to support partner conversations around cyber protection analytics
Measure outcomes: Track adoption metrics, feature usage, time-to-insight, threat detection accuracy, prediction accuracy, partner satisfaction, and business impact; iterate based on data and partner feedback
3-5+ years in product management for enterprise SaaS, analytics/BI platforms, or AI/ML-powered products (experience in MSP platforms, RMM/MDM solutions, or SaaS security is a strong plus)
Deep understanding of reporting and analytics: Proven track record building dashboards, reports, and data visualization features; familiarity with BI tools, data pipelines, and analytics architectures
AI/ML product experience: Strong understanding of how AI/ML can drive predictive intelligence, anomaly detection, automated recommendations, and decision support in IT operations and asset management
Data-driven mindset: Experience defining metrics, instrumenting analytics, and using data to drive product decisions; comfortable with SQL, analytics tools, and working with data science teams
Platform and SaaS application knowledge: Understanding of multi-tenant platforms, SaaS application ecosystems (Microsoft 365, Google Workspace), and how to deliver intelligence across diverse environments; RMM/MDM experience is welcome
MSP/partner ecosystem knowledge: Understanding of MSP business models, multi-tenant platforms, and partner success metrics; ability to translate partner needs into product requirements
Technical depth: Ability to collaborate effectively with engineering and data science teams; understanding of APIs, data models, and platform architectures
Market and competitive analysis skills: Experience sizing markets, analyzing competitive landscapes, and building business cases (pricing, ROI, value propositions) for analytics products
Excellent communication and stakeholder management: Comfortable presenting to executives, partners, and customers; ability to translate complex technical concepts into clear business value
Structured problem-solving: Strong analytical skills and ability to break down ambiguous problems into actionable product plans
*Please submit your resume and application in English
WHO WE ARE
A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and more than 1800 employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 20,000 service providers to protect over 750,000 businesses.
Our corporate culture centers on innovation, accountability, and impact. We encourage our people to think boldly, challenge conventional approaches, and take ownership of outcomes. As a member of our global “A-Team,” you’ll operate in a high-growth, fast-paced environment where resilience, adaptability, and a commitment to continuous improvement drive success.
OUR INTERVIEW PRACTICES
To ensure a fair and genuine hiring process, candidates are expected to participate in interviews without the use of AI tools, automated prompts, or third-party assistance. Interviews are designed to assess individual skills, experience, and communication style and we value authentic, real-time interaction.
Use of AI or external assistance during live interviews may result in disqualification. For roles where AI skills are being evaluated, permitted use of AI tools will be clearly communicated in advance. Candidates may be asked to disable virtual backgrounds or participate in in-person interviews. All employment offers are contingent upon successful completion of applicable criminal, education and identity background checks
Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.
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