Read AI is looking to redefine how teams collaborate by bringing intelligence to every conversation, supercharging productivity across meetings, messages, and email. The company is seeking a VP of Data Science to lead its core technical foundation across AI, machine learning, and data engineering to build and scale AI models, pipelines, and production infrastructure.
Requirements
- 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, TensorFlow, Hugging Face, LangChain).
- Strong knowledge of cloud-native data and ML platforms (e.g., BigQuery, Spark, Ray, Airflow, KubeFlow).
- Proven ability to manage infrastructure as well as applied ML science.
- Experience building and deploying models to both B2C and B2B experiences that touches tens of millions if not more
- Experience with GenAI, Retrieval, ML or Recommendations.
Responsibilities
- 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.
- Lead and grow a cross-functional data organization spanning research science, ML, and analytics.
- Define and drive our long-term AI/ML roadmap, ensuring alignment with product and business goals.
Other
- 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.
- Balance forward-looking research with delivering impactful, scalable product features.
- Represent the data science org to executive stakeholders and help shape company-wide priorities.
- Excellent communication skills, with the ability to influence both executive stakeholders and technical teams.
- Serve as a thought leader for AI both internally and externally (optional: speaking, publishing, or open-source contributions).
- Advanced degree (MS or PhD) in Computer Science, ML, Statistics, or related field preferred.
- 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.
