VP of Data Science

About Us

At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they’re in the same room or across time zones.

Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you’re excited to shape the future of AI‑powered collaboration and want to make an impact at a product‑focused startup, we’d love to meet you.

We’re looking for a strategic and hands‑on VP of Data Science to lead Read AI’s core technical foundation across AI, machine learning, and data engineering. This role will oversee a growing team of data scientists, ML researchers, data engineers, and MLOps professionals focused on building and scaling our AI models, pipelines, and production infrastructure. You’ll own the roadmap, execution, and quality of everything from research to deployment, helping shape the future of AI‑powered productivity.

• Lead and grow a cross‑functional data organization spanning research science, ML, and analytics.
• Recruit, mentor, and develop managers and ICs across functions, fostering a collaborative and high‑performance culture.
• Create clear development paths and career opportunities for a diverse and deeply technical team.
• Define and drive our long‑term AI/ML roadmap, ensuring alignment with product and business goals.
• Balance forward‑looking research with delivering impactful, scalable product features.
• Represent the data science org to executive stakeholders and help shape company‑wide priorities.
• Oversee the design and optimization of data infrastructure and real‑time ML systems, including ranking, summarization, RAG, LLM orchestration, and signal processing.
• Drive best practices for model experimentation, evaluation, deployment, observability, and responsible AI.
• Enable a flexible, high‑velocity experimentation environment that empowers scientists and engineers to move quickly.
• Partner closely with Product, Engineering, Design, and GTM teams to integrate AI deeply into our user experience.
• Translate technical capabilities into product innovation and measurable business value.
• Serve as a thought leader for AI both internally and externally (optional: speaking, publishing, or open‑source contributions).

• 10+ years of experience in data science, ML, or applied research roles, with 5+ years in technical leadership roles.
• Demonstrated success leading teams that built and deployed production AI at scale in real‑world user‑facing applications.
• Hands‑on experience with LLMs, transformers, and modern ML stacks (e.g. PyTorch, JAX, Tensor Flow, Hugging Face, Lang Chain).
• Strong knowledge of cloud‑native data and ML platforms (e.g. Big Query, Spark, Ray, Airflow, Kube Flow).
• Proven ability to manage infrastructure as well as applied ML science.
• Excellent communication skills, with the ability to influence both executive stakeholders and technical teams.
• Experience building and deploying models to both B2C and B2B experiences that touch tens of millions if not more.
• Experience with GenAI, Retrieval, ML or Recommendations.
• Advanced degree (MS or PhD) in Computer Science, ML, Statistics, or related field preferred.

• Innovative: We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective.
• Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action.
• Growth Opportunities: Read AI is the fastest growing AI‑copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in…