Read AI · 2 days ago
VP of AI
Read AI - Seattle HQ
Full-time
Hybrid
Director/Executive
$275K/yr - $375K/yr
10+ years expRead AI is redefining how teams collaborate by integrating intelligence into conversations. The VP of AI will lead the technical foundation across AI, machine learning, and data engineering, overseeing a team focused on building and scaling AI models and infrastructure.
AnalyticsArtificial Intelligence (AI)Enterprise SoftwareMachine LearningMeeting SoftwareSoftware
No H1B
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)
Qualification
Required
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
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 touches tens of millions if not more
Experience with GenAI, Retrieval, ML or Recommendations
Preferred
Advanced degree (MS or PhD) in Computer Science, ML, Statistics, or related field preferred
Benefits
Equity
Low deductible health plans
Flexible time away
Family leave programs
Company
Read AI
Read AI is a productivity AI company that enhances workflows with meeting analytics, scheduling, and summaries across messages and email.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$81MKey Investors
Smash CapitalGoodwater CapitalMadrona
2024-10-28Series B· $50M
2024-04-02Series A· $21M
2021-09-29Seed· $10M
Leadership Team
David Shim
Co-Founder, CEO
Elliott Waldron
Co-Founder & VP Data Science
Recent News
Business Insider
2025-11-10
Business Insider
2025-09-29
Company data provided by crunchbase