# Senior Manager, Machine Learning

**Company**: Twilio
**Location**: Remote - India
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/twilio/jobs/7919148?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a393d4f7-136

## Description

Join Twilio's Conversation Memory team as a Senior Manager, Machine Learning. This critical role involves leveraging Twilio's massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI.

Responsibilities:

- Collaborate with engineering teams and cross-functional teams to translate ambiguous business problems into a clear, prioritized ML product roadmap.

- Contribute hands-on technical expertise while providing strategic direction and mentorship to the team.

- Establish a high-performing engineering setup that enables rapid iteration, experimentation, and deployment of models.

- Drive continuous improvement in the team's processes, tooling, and infrastructure.

- Monitor the ML and AI landscape to ensure the team stays up-to-date on state-of-the-art research, techniques, and tools.

- Recruit, manage, and develop a diverse and highly-skilled team of Machine Learning Engineers.

- Define and track key performance indicators (KPIs) to measure the impact and success of the team's ML products.

- Manage project timelines, dependencies, and risks to ensure timely delivery of high-quality ML solutions.

Qualifications:

- Bachelor's in Computer Science, Engineering, or a related field.

- 10+ years of experience in Applied ML or AI, including 3+ years of leading a team of Machine Learning Engineers or data scientists.

- Proven experience defining and executing a multi-year technical vision and strategy for a large-scale ML platform or product.

- Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems.

- Extensive experience with ML Ops and LLM Ops patterns.

- Strong background in building cloud-based services using AWS, GCP, or Azure.

- Experience in recruiting, hiring, and scaling high-performing Machine Learning or engineering teams.

- Exceptional communication and collaboration skills.

What We Offer:

- Competitive pay

- Generous time off

- Ample parental and wellness leave

- Healthcare

- Retirement savings program

- Much more

## Skills

### Required
- Machine Learning
- Artificial Intelligence
- Cloud Computing
- ML Ops
- LLM Ops
- AWS
- GCP
- Azure
- Leadership
- Team Management

### Nice to have
- Conversational AI
- Geographically Distributed Setting
- Publications at Top ML Conferences
- Open-Source Contributions

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/twilio/jobs/7919148?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)