Job Description
Who you are Demonstrate deep proficiency in Python (including ML libraries) and SQL for data modeling, analysis, and production model development Show experience building, deploying, and monitoring machine learning models in production environments with real business impact Apply solid foundations in statistics, experimentation design, and causal inference to ambiguous business problems Exhibit experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions Communicate complex technical findings clearly to non-technical stakeholders, including senior leadership Operate MLOps platforms (such as MLflow, SageMaker, or Vertex AI) and data transformation tools (such as dbt or Snowflake), or demonstrate equivalent practical experience Bring experience with model serving frameworks, data quality tooling, or observability platforms in a SaaS environment Guide early-career team members through code review, pairing, and knowledge sharing to elevate collective team capability What the job involves You will build production machine-learning systems that predict customer growth and retention signals. You will partner across engineering, sales, and product teams using scalable MLOps practices. You will directly influence revenue strategy through automated, data-driven scoring and insights Our team delivers predictive intelligence that drives revenue growth decisions. We collaborate across data engineering, product, and go-to-market functions. We exist to turn product usage data into actionable business outcomes Building and deploying end-to-end machine learning models — from exploration through production — that score customer expansion likelihood and churn risk, directly informing revenue strategy Designing and maintaining automated pipelines for model retraining, monitoring, and incident response, ensuring prediction accuracy and system reliability at scale Partnering with engineering and product teams to define telemetry schemas and data contracts, ensuring high-quality inputs that support longitudinal user behavior modeling Conducting exploratory analyses and experiments to diagnose conversion changes, validate product hypotheses, and deliver actionable recommendations to senior leadership Communicating findings and model outcomes to cross-functional stakeholders, translating complex results into clear narratives that guide sales, product, and customer success decisions The application process End Date: May 14, 2026 Benefits Work from home opportunities Retirement benefits My-Time-Off (MTO), an extended vacation policy Employee Stock Purchase Plan (ESPP) and Restricted Stock Unit (RSU) Equity Program plus Yearly stock grant for all employees Wellness and fitness reimbursement, wellness resources, Thrive Global wellness app, TaskHuman wellness coaching app Employee Assistance Program (EAP) including emotional support, financial resources and legal guidance Paid Parental Leave (both parents) 16 weeks paid leave (or statutory if more generous) Employer Matching of Charitable contributions up to $500 USD equivalent/year Annual Zoom Store Allowance Business Travel Accident Insurance