Twilio's Efficiency Operations team is spearheading GTM's AI transformation that will redefine how we operate as a company. Our Wise Owl AI platform is revolutionizing how Twilions work across Sales, Support, and Operations by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation.
Requirements
- Deep understanding of NLP, LLMs, and AI platform architecture
- Experience with enterprise AI platforms, model deployment, and MLOps workflows
- Proficiency with SQL and ability to extract, analyze, and interpret data independently
- Strong technical background with experience in AI/ML model lifecycle management
- Proven track record of building horizontal platform products that enable other teams
- Experience working with data science and ML engineering teams
- Experience with AI/ML architecture, AI gateway, and agentic AI systems
Responsibilities
- Define and execute the AI/ML product & platform roadmap, establishing technical requirements for model development, training pipelines, and AI reasoning capabilities.
- Understand the AI/ML needs of internal product teams building vertical agents, ensuring the platform provides the right abstractions, performance, and reliability.
- Partner closely with data scientists and ML engineers to translate business requirements into scalable AI solutions.
- Lead the development of cutting-edge AI capabilities, including: Generative AI technologies, large language models (LLMs), Multi-agent systems and LLM evaluation frameworks
- Agent observability, Multi-LLM serving and AI gateway infrastructure
- MLOps automation for training, serving, and orchestration
- AI reasoning engines for complex agentic workflows
Other
- 7+ years in product management at a fast-paced technology company, with 3+ years focused on AI/ML products
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- This role will remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
- you may be required to travel occasionally to participate in project or team in-person meetings.
- The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
