Director, Data Science & MLE

About the team & opportunity

Whats so great about working on Calendlys Engineering team

We make things possible for our customers through innovation.

Why do we need you Well we are looking for a Head of Data Science & Machine Learning who will bring expertise around answering complex business questions with Data Science and operationalizing machine learning models with modern MLOps. You will report to the VP of Data & Infrastructure and will be responsible for leading Data Science / AI teams.

A day in the life of a Director of Data Science & MLE

• Strategic Leadership: Develop and drive the Calendlys AI and data science strategy ensuring alignment with overall business objectives and market needs
• AI/ML Innovation: Lead the research development and deployment of advanced machine learning models generative AI solutions to address complex business challenges and enhance product offerings
• Team Leadership and Development: Build manage and mentor a multidisciplinary team of data scientists machine learning engineers and researchers fostering a culture of innovation collaboration and continuous learning
• Cross-Functional Collaboration: Work closely with Product Engineering Design Marketing Sales and Customer Success teams to integrate AI/ML initiatives across the organization and ensure seamless execution
• Project Oversight: Oversee the end-to-end lifecycle of AI/ML projects from ideation and prototyping to production deployment and monitoring ensuring timely delivery and measurable business impact
• AI Governance and Ethics: Establish and enforce best practices for ethical AI development data governance compliance and risk management ensuring transparency fairness and regulatory adherence
• Stakeholder Engagement: Engage with internal and external stakeholders to understand business requirements validate AI-driven solutions and communicate technical concepts to non-technical audiences
• Continuous Improvement: Stay abreast of emerging AI/ML technologies and industry trends driving innovation and process improvements within the team and organization

What do we need from you

• Education: Advanced degree (Masters or PhD preferred) in Computer Science Data Science Statistics Engineering or a related quantitative field

Experience:

• 10 years of experience in AI machine learning or data science including significant leadership or management roles
• Proven track record of delivering complex AI/ML solutions at scale and driving measurable business outcomes

Technical Expertise:

• Deep knowledge of modern AI/ML algorithms frameworks and best practices (e.g. supervised/unsupervised learning deep learning NLP computer vision)
• Strong programming skills in languages such as Python R or similar
• Experience with data engineering analytics platforms and cloud-based AI/ML infrastructure
• Leadership Skills: Demonstrated ability to build lead and mentor high-performing technical teams
• Strategic Thinking: Ability to develop and execute AI/ML strategies aligned with business goals and market demands
• Project Management: Strong project management skills including resource allocation timeline management and budget oversight
• Communication: Excellent verbal and written communication skills with the ability to influence and collaborate across all organizational levels and with external partners
• Ethics and Compliance: Commitment to ethical AI development data privacy and regulatory compliance
• Continuous Learning: Passion for staying current with AI/ML advancements and fostering a culture of ongoing professional development

This role is pivotal and leverages AI and data science as core drivers of innovation efficiency and competitive advantage.

Whats in it for you

Ready to make a serious impact Millions of people already rely on Calendlys products and were still in the midst of our growth curve its a fantastic time to join us. Everything youll work on here will accelerate your career to the next level. If you want to learn grow and do the best work of your life alongside the best people youve ever worked with then we hope youll consider allowing Calendly to be a part of your professional journey.

Our Hiring Process:

We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. To learn more about our hiring process please visit our careers page at .

Once selected for an opportunity the recruiter assigned to the role will keep you informed every step of the way. Have questions Let your recruiter know! Want to share your experience We are passionately committed to improving and building on our process and we consider feedback a gift.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process please contact us at . Calendly is registered as an employer in many but not all states. If you are located in Alaska Alabama Delaware Hawaii Idaho Montana North Dakota South Dakota Nebraska Iowa West Virginia and Rhode Island you will not be eligible for employment. Note that all individual roles will specify location eligibility.

All candidates can find our Candidate Privacy Statement here

Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection

The ranges listed below are the expected annual base salary for this role subject to change.

Calendly takes a number of factors into consideration when determining an employees starting salary including relevant experience relevant skills sets interview performance location/metropolitan area and internal pay equity.

Base salary is just one component of Calendlys total rewards package. All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive) equity awards and competitive benefits.

Calendly uses the zip code of an employees remote work location or the onsite building location if hybrid to determine which metropolitan pay range we use. Current geographic zones are as follows:

• Tier 1: San Francisco CA San Jose CA New York City NY
• Tier 2: Chicago IL Austin TX Denver CO Boston MA Washington D.C. Philadelphia PA Portland OR Seattle WA Miami FL and all other cities in CA.
• Tier 3: All other locations not in Tier 1 or Tier 2

Note that this role is hiring in the the San Francisco Bay Area of CA. Candidates must be open to a hybrid work environment.