The DevOps Engineer will build and operate infrastructure for data pipelines and AI/ML workloads while developing CI/CD processes for model lifecycles. They will also partner with engineering teams to ensure the reliability, scalability, and performance of compute-intensive production systems.
The Senior Analytics Engineer will architect and maintain scalable data pipelines to support marketing sciences, growth analytics, and predictive modeling. They will bridge the gap between data engineering and growth initiatives by ensuring high-fidelity data availability for demand modeling and customer interventions.
The role involves owning the analytics framework for ARPU and expansion products while partnering with cross-functional teams to optimize monetization and cross-sell funnels. You will also lead A/B testing for pricing and packaging experiments while maintaining data stewardship for complex transactional data streams.
The Senior Compliance Analyst translates legal and regulatory requirements into actionable product guidance and operational controls. They partner with product squads to assess compliance risks, monitor regulatory developments, and support audit and certification activities.
The Data Transfer Associate manages the initial stages of customer data migration, ensuring data accuracy and providing empathetic first-touch communication. They are responsible for processing standard datasets, performing basic data cleansing, and supporting the team with administrative tasks.
You will lead the evolution of the data stack by building scalable infrastructure for product intelligence, financial reporting, and self-serve analytics. You will collaborate with cross-functional teams to define data architecture, ensure data quality, and implement best practices across the enterprise.
You will build and maintain the AI-driven tools and conventions used by engineering, product, and design teams to improve development workflows. This includes defining standards for AI agents, managing context layers, and evaluating model performance to ensure high-quality, human-reviewed code.
The GTM Systems Manager will own the CRM roadmap and data governance, ensuring alignment across Sales, Marketing, CS, and Finance. They are responsible for building and maintaining the systems architecture, reporting, and automated workflows to support both PLG and SLG motions.
You will build and maintain the internal AI tools and conventions used by engineering, product, and design teams. This includes defining prompt standards, managing context layers for agents, and establishing review gates for AI-generated code.
Establish and grow a world-class Customer Success team while leading, mentoring, and developing Customer Success Managers and Retention Specialists. Oversee the implementation of a Customer Success Platform and manage customer retention rates and churn reduction initiatives.
