At Cerby we believe security is everyone’s business.  Collaborating across your apps doesn’t need to be chaos.  We are a mission-critical cybersecurity company that empowers your teams to operate securely and control their apps completely.  We’ve built our product on the idea that teams deserve autonomy over their work apps.  It turns out that why they are guaranteed a choice, security comes naturally.

More than 50% of all technology is spent outside of centralized IT organizations.  Individual business units are taking their technology destiny into their own hands, and we enable that.  End user onboarded applications are behind more than one third of all cybersecurity hacks.  We provide the solution to manage that through enabling users to select their own technology and we automatically protect those applications.

About the role

The Cerby Product Analytics Manager is a critical position that directly enables the growth and sustainability of Cerby’s identity security automation. In this role, you will be responsible for defining and executing a product analytics strategy that empowers a Cerby ecosystem. The position requires both external and internal collection, monitoring and analysis of data that enables the success of the Cerby ecosystem.

What you'll do

• Collaborate with engineering and data teams to evaluate, curate and maintain high integrity data pipelines while scaling the deployment of product analytics tooling. 
• Track automation and usage metrics to evaluate product efficacy and health - including adoption, engagement and reach.
• Empower monitoring of operational performance and incident triage of Cerby automations.
• Identify patterns, trends, behaviors across customer segments and Cerby automations to optimize customer acquisition and retention.
• Enable, build and maintain dashboards that provide clear, actionable insights for key stakeholders.
• Collaborate and communicate cross-functionally with product managers, product designers, engineering, customer success and marketing

Qualifications

• 3-5 years of b2b SaaS product or data analytics experience. 
• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Business or related field.
• Strong analytical, problem-solving, and decision-making skills - with and without AI; excellent communication and interpersonal abilities.
• Technical proficiency with data analysis, product analytics (e.g. Mixpanel) and data visualization (e.g. Tableau) tools. Data modeling and predictive analytics is a bonus.
• Proven track record working in a growth-stage company where change is frequent.
• Demonstrated success in collaboratively working with Product, Engineering, Customer Success and Marketing teams to define metrics, gather requirements and provide insights that inform decision making.