Director of Data Science & MLE, Calendly
$285.6-386.4k
+ Quarterly Corporate Bonus + Equity
Automated appointment scheduling
Be an early applicant
Automated appointment scheduling
501-1000 employees
Be an early applicant
$285.6-386.4k
+ Quarterly Corporate Bonus + Equity
501-1000 employees
Company mission
To provide broad and deep support for various meeting scenarios, and make scheduling easier and more efficient.
Role
Who you are
- Education: Advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
- 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
- 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
What the job involves
- 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
- Strategic Leadership: Develop and drive the Calendly’s 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
- This role is pivotal and leverages AI and data science as core drivers of innovation, efficiency, and competitive advantage
Our take
Calendly is a cloud-based scheduling service that is straightforward to use. It allows around 10 million customers per month to connect and make appointments based on their available times without having to send emails back and forth.
The platform offers four different plans - allowing individuals, small companies, and large enterprises alike to make use of these services. Calendly's growth to date been based mostly around a very organic strategy. Its invites become links to Calendly itself, so people who like it can, and do, start to use it.
There are a handful of competing products on the market, including offerings from Doodle and Microsoft, but Calendly's customer-friendly design has won it attention and allowed it to carve itself a space in the field. Impressive funding has contributed to the company's expansion, allowing it to capitalize on the increasing popularity of home and hybrid working.
Freddie
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (2 rounds)
Jan 2021
$350m
SERIES B
Apr 2014
$0.6m
SEED
Total funding: $350.6m
Company benefits
- Quarterly Bonus
- Equity
- Home Office Setup
- Technology
- Pick Your Own Perk
- Flexible Time Off
- Vacation Stipend
- Parental Leave
- Health and Wellbeing
- Fun Community Events
- 401k Company Match
Company HQ
Atlantic Station, Atlanta, GA
Leadership
Tope Awotona
(CEO)Having studied at the University of Georgia, they worked as an IBM Sales Rep and for Perceptive Software, Vertafore, and EMC as an Account Manager. They left the latter in 2014, having founded Calendly in February 2013.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 12 more jobs at Calendly