VP of Data Science Seattle, WA

VP Of Data Science

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.

Responsibilities

• 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).

Qualifications :

Why Read AI?

The annual base salary for this position ranges from $230,000 - $250,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.