SimplePractice

Machine Learning Engineer

• Develop AI workflows, customize data pipelines, tune models, and engineer prompts to bring idea to prototype
• Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output
• Work with eng partners to integrate AI workflows into production
• Build and configure AI performance monitoring with proper reporting and alerts
• Optimize and maintain AI workflows for performance, reliability, and long-term scalability
• Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept.
• Provide AI expert advice to product and eng partners in shaping product roadmap
• Partner closely with software eng, product, data eng, ML platform teams to scope and plan in execution
• Communicate timeline, milestones, findings w/ internal stakeholders
• Guide less experienced team members, sharing knowledge on LLM workflows and AI/ML model lifecycle
• Champion a culture of experimentation, continuous learning, and proactive problem-solving
• Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities

Machine Learning Engineer, Applied AI

Data Analyst

• Lead complex data analysis projects across multiple business units, managing end-to-end workflow from requirements gathering to final recommendations
• Design and execute advanced SQL queries to extract, transform, and analyze large datasets from various sources while ensuring data quality and integrity
• Develop and maintain statistical models and dashboards to track KPIs, identify trends, and generate actionable insights for business stakeholders
• Collaborate with Product, Engineering, and Design teams to deliver data-driven solutions that align with business goals.
• Effectively communicate insights and analysis results to stakeholders across SimplePractice, highlighting opportunities to better serve both the business and its customers.
• Mentor junior analysts and collaborate with data engineering teams to improve data infrastructure and accessibility
• Drive strategic decision-making by conducting in-depth analyses of business metrics, market trends, and customer behavior patterns to identify opportunities for growth and optimization

Data Analyst II

Onboarding Specialist

• Drive customer adoption through onboarding and education programs
• Address inbound lead and customer questions about our platform’s features
• Contribute to achieving ambitious adoption &amp; retention goals
• Maintain alignment with the larger Customer Success team and other internal stakeholders
• All Other duties as assigned

Machine Learning Engineer, Applied AI

Data Analyst II

Customer Onboarding Specialist