Thrive is a leading behavior change B2B SaaS company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance, and mental resilience building an AI-powered behavior change technology platform. Thrive’s Microsteps — small, science-backed steps to improve health and productivity — have been adopted by employees at more than 125 organizations in over 140 countries. We’re leading the global conversation around well-being and performance, developing products and programs that help people go from knowing what to do to actually doing it.

As the Director of Machine Learning, you will be a critical cross functional leader in our business. You will help us define and track key customer metrics, benchmarks, and outcomes as it relates to machine learning. You will help us build, push to production and track the machine learning models and user outcomes.  This highly visible role will work with leaders across the organization (Customer Success, Product, Engineering, Operations, and more) to deliver data-driven insights and inform ongoing strategic decisions. You will also help us scale machine learning throughout the organization with the people science team, data engineers, software engineering, product and product analysts.

The Most Important Use of AI: Deepening Our Humanity

Who You Are:

• You are passionate about fostering a data-centric culture
• You are a visionary and possess strong technical and analytical knowledge
• You can translate complex data into simple, actionable insights
• You have experience leading others through growth and development
• You are a believer in compassionate directness who gives and receives feedback with heart 

How You'll Contribute:

• This is a hands-on role that expects you to start producing code with a "get it done" attitude and motivate your team to do the same.
• Analyze in-app user behavior and correlate it with individual productivity and wellbeing results using both analysis and machine learning models.
• Lead the development and implementation of a comprehensive machine learning strategy for the organization. Identify opportunities to leverage machine learning to improve products and services, and enhance the user experience.
• Conduct primary user research, analyze qualitative and quantitative data, and work with customers to track key outcomes and return on investment across our product suite and with our customer success team.
• Manage and expand a team of data scientists, machine learning engineers, and other technical staff. Provide mentorship, training and guidance to develop and support staff.

Must Haves:

• Proven track record leading machine learning and data science teams in B2B/B2C.
• Strong understanding of the ethical, legal, and privacy issues associated with machine learning; we play in enterprise data and need someone that understands these constraints.
• Strong software engineering skills to create scalable and robust infrastructure for deep learning data, modeling, and evaluation systems.
• Expertise across the entire stack Machine learning stack sandbox to production.
• Proficiency in relevant programming languages (such as Python, R) and machine learning frameworks (supervised and unsupervised learning).
• Knowledge of key metrics and product benchmarks for what is success for machine learning.
• Experience taking machine learning models from concept, to testing and validation, through  implementation, and post go-live evaluation.
• Ability to work and interface directly with external Enterprise customers as well as internal executive stakeholders across all functional areas.
• We would expect someone with 5+ years of experience of management but this isn’t a hard target.

What We Offer:

• Being part of a mission-driven company that’s truly making a difference in the lives of people around the world
• Ability to develop within the company and shape our growth strategy
• A human-centric culture with a range of wellness perks and benefits
• A competitive compensation package
• Medical, dental and vision coverage + 401k program with company match
• Generous paid time-off programs.

Our Mission:

Thrive’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.

Thrive is deeply committed to creating a safe and welcoming work environment free of discrimination and harassment so that all employees can bring their whole selves to work.

Thrive is proud to ensure equal employment opportunity (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, gender identity, gender expression, sexual orientation, age, marital status, family or parental status, veteran status, or any other characteristic protected by applicable federal, state or local law.

Thrive is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please inform Thrive’s Recruiting team if you need any assistance completing any forms or to otherwise participate in the application process.

Compensation for this role depends on level, and will likely fall in the $225,00- 260,000 range. We provide a competitive mix of salary, performance bonus, and equity.