Principal Product Analytics
Synthesia is an active London-based enterprise AI video platform that lets businesses create, localize, manage, and publish videos using AI avatars and voiceovers.
Funding history
About Synthesia
Synthesia Limited provides browser-based AI video creation for business communications, training, sales enablement, marketing, and support. Its platform includes AI-assisted creation, avatars, voiceovers, translation/localization, collaboration, and publishing workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will independently investigate user behavior, customer experience, acquisition, activation, and usage data. You will apply statistical and causal analysis, build models that drive product action, analyze structured and unstructured data, size opportunities, and communicate actionable recommendations to product teams, management, and executives.
Requirements
- Product analytics experience across growth and broader product areas
- Data science and modelling experience
- Knowledge of correlation, regression, and causal analysis
- Ability to communicate business impact to management and executives
- Experience with unstructured data is preferred
- Experience at an AI-native company is preferred
- Understanding of subscription businesses is preferred
- Understanding of PLG motions in a B2B space is preferred
- Experience with qualitative research, pricing, and packaging work is preferred
Responsibilities
- Proactively investigate anomalies in funnels, cohorts, and metrics
- Lead investigations into user behavior and customer experience across product and non-product touchpoints
- Identify activation failure points in the user journey
- Analyze acquisition channels, user use cases, and customer intent
- Apply regression, causal analysis, and well-designed experiments
- Build data-science models for business problems such as churn
- Analyze agent-user conversations, context layers, evaluation systems, and structured product data
- Produce market opportunity sizing
- Partner with engineering managers on organizational productivity metrics
- Translate findings into recommendations for product teams, management, and executives
