ClassDojo Logo

ClassDojo

Head of Data

Reposted 8 Days Ago
Remote
Hiring Remotely in USA
240K-321K Annually
Senior level
Remote
Hiring Remotely in USA
240K-321K Annually
Senior level
Lead and grow the Data Science and Analytics Engineering teams, driving product decisions, improvements, and integrating AI into workflows to enhance efficiency and insights.
The summary above was generated by AI

ClassDojo's goal is to give every child on Earth an education they love.

We started by building a powerful network for communication. ClassDojo’s flagship app is the #1 communication app connecting K-12 teachers, children, and families globally. Teachers use it to share what’s happening throughout the day through photos, videos, and messages that make parents feel like they’re there. It’s actively used in over 95% of US schools, reaching over 45 million children in 180 countries, with a team of just around 200 people [1]. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.

We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with experience in education and large scale consumer internet companies, including Instagram, Netflix, Dropbox, Stripe, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.

The Role:

We are looking for a Head of Data to lead our Data Science and Analytics Engineering teams and serve as a key member of the executive team. In this role you’d be building a data organization that directly shapes product decisions, drives experimentation, and improves how the entire company operates. You will lead a team of ~15 people and be responsible for ensuring that data is a core driver of product direction, not just a support function. This role is hands-on. You will engage directly in product questions, experiments, and metric definition, while also building a strong, cohesive, and high-performing team.

What you’ll do:

• Lead and develop a high-performing Data Science and Analytics Engineering team
• Drive data-led product improvements across growth, engagement, and monetization
• Partner closely with Product, Engineering, and Leadership to shape strategy
• Build systems and frameworks that improve decision speed and clarity
• Establish clear and trusted metrics and data definitions
• Integrate AI into data workflows to improve efficiency and insight generation
• Maintain a high hiring bar and strong team culture 

You will be a match if:

• You have led a data team of ~10–20 people in a hands-on capacity
• You have directly driven product or business impact through data
• You think in terms of product outcomes, not just analysis
• You are comfortable operating in ambiguity and creating structure where needed
• You enjoy being both a leader and an individual contributor
You have a point of view on how AI will change data work 

[1] Some more context:

(If you are on LinkedIn, you will not be able to access the hyperlinks below. Once you click apply, you will be directed to our career website (if you are not on there already) and will be able to access the hyperlinks)

  • How ClassDojo Connects Parents, Students, and Teachers 

  • “Whats New on ClassDojo 2023”

  • TechCrunch Article: Second Act comes with First Profits

Click here if you're interested in learning more about what we've been up to.


We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. In accordance with the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are happy to accommodate any disabilities or special needs. We are a distributed company, so we hire regardless of location, as long as you are willing to have significant hours overlap with one of the Americas time zones.

ClassDojo takes a number of factors into consideration when determining compensation, including geographic location, experience, and skillset. Salary ranges (United States):

CA, WA, NY, NJ, CT states: $280,000 - $321,000 (USD)

All other states in the US: $240,000 - $280,000 (USD)


#LI-Remote

ClassDojo San Francisco, California, USA Office

735 Tehama Street, San Francisco, CA, United States, 94103

Similar Jobs

6 Days Ago
Remote
USA
318K-431K Annually
Expert/Leader
318K-431K Annually
Expert/Leader
Biotech
Lead development of new data- and AI-driven products, services, and businesses using 10x-generated biological datasets. Identify opportunities, create investable proposals, define execution plans, secure leadership and board alignment, form partnerships or M&A, build and scale teams, and drive cross-functional implementation to commercialize insights for pharma, diagnostics, and related markets.
Top Skills: Agentic ToolsAIData ArchitecturesData ProductsSingle Cell GenomicsSpatial Genomics
6 Days Ago
In-Office or Remote
Senior level
Senior level
Financial Services
Lead a data science organisation to create commercial value from data via propensity, NBA, LTV and Gen-AI models. Define roadmap, ensure regulatory compliance, deploy and monitor models, build personalised client insights/nudges across digital channels, drive automation and operational efficiencies, and recruit and mentor a high-performing analytics team while partnering with stakeholders to deliver measurable revenue and retention outcomes.
Top Skills: AWSAzureClouderaCrm SystemsGCPGen-AiMachine LearningOpen DataOpen FinancePower BIPythonRSigmaSnowflakeSQLTableauTeradata
15 Days Ago
Remote
US
Expert/Leader
Expert/Leader
Information Technology • Consulting
Lead and scale a product-focused Data Science team to drive acquisition, engagement, retention, and member health outcomes. Set DS strategy, measurement frameworks, operating model, and prioritize high-impact analytics. Partner cross-functionally, ensure rigorous, actionable analyses, apply experimentation, causal inference, segmentation, forecasting and personalization, and collaborate with data engineering to improve data foundations.
Top Skills: SQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account