Who we are

Collaboration is the core of our Product, Design, and Research teams. We partner with Engineering to develop seamless, efficient, best-in-class products that power the Mindbody platform. We help our customers run and scale their businesses at every interaction, from scheduling to point of sale to client booking and more. We innovate so our customers can grow.

About the right team member

We’re looking for a passionate and experienced Senior Product Manager to help define and execute the product strategy for the Machine Learning team at ClassPass. 

This may be the role for you if...  

• You enjoy developing ML infrastructure and driving applications of machine learning 
• You're leaned into new and evolving opportunities to leverage ML and AI 
• You proactively suggest applications for new technology and have a deep understanding of how ML/AI can enhance the business 
• You’re excited about defining and executing against a high-impact roadmap, contributing to new and existing data products, and partnering closely with engineering & the business 
• You identify and prioritize work that yields high ROI for the company and you are capable of making hard trade-offs 
• You know the best software is created through collaboration and iteration, and you’re looking for the right opportunity & the right team to expand your experience 
• You consistently seek feedback because it has the ability to turn good work into great work 
• You like to ship software early and often, you value simplicity and strive to eliminate unnecessary complexity. 

About the role

• Oversee the product roadmap for the Machine Learning team, identifying high impact opportunities for the business, consumers and partners
• Work effectively and collaboratively with engineers, data scientists and other product owners to define, implement and iterate on new and existing data products  
• Develop a deep understanding of the data to assess the performance of existing data products and to inform new data product opportunities 
• Identify and recommend success metrics and/or key results related to your business objective that enable meaningful ways to measure progress
• Understand reliability and performance, and proactively find and address issues to manage data at scale 
• Communicate user problems, business opportunities, team roadmaps, on-going updates, and project/OKR results clearly and effectively to a variety of audiences (e.g., executive stakeholders, product team, people with and without technical expertise)
• Manage complex rollouts, including coordinating QA, and working closely with cross-functional partners (e.g., CS, Sales, Engineering). 

Skills & experience

• You are a seasoned product manager with a track record of defining and delivering impactful applications of machine learning within a consumer product
• You have deep knowledge about how data products are developed and a desire to deeply understand data 
• You are analytically savvy. You define, query, and interpret your own data. 
• You have experience with some standard machine learning tools: Amazon SageMaker, Flink, Tensorflow, PyTorch, Theano, HDFS, Hive, or Athena 
• You have a proven track record as a strong communicator, influencer, and cross-functional partner. You collaborate well with cross-functional partners and data scientists within the org 
• You have strong product intuition based on experience but reinforce this through a deep understanding of user feedback and analytical data
• You’re experienced with an agile discovery and development process and working collaboratively in full stack product teams
• You have at least 4 years of experience in product management
• You have 2+ years of experience as a PM supporting machine learning, data engineering, deep learning, search, natural language processing, data science, or computer vision.

Pay transparency

It is Mindbody’s intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Mindbody’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.

The base salary range for this position in the United States is $140,000 to $183,000. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans.

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