Twilio

2 months ago

Senior Manager, Machine Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead a hands-on, high-performance ML engineering team to design and deploy production-grade ML/AI systems at scale. Drive the 0-to-1 platform features for contextual customer engagement, translate ambiguous problems into a clear ML product roadmap, and mentor engineers while partnering with product and business stakeholders.

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with engineering and cross-functional teams to translate ambiguous business problems into a clear, prioritized ML product roadmap.
•Act as a hands-on contributor while providing strategic direction and mentorship to the team.
•Establish an engineering setup that enables rapid iteration, experimentation, and deployment of models with a focus on operational excellence.
•Drive continuous improvement in processes, tooling, and infrastructure to optimize velocity, quality, and maintainability.
•Monitor the ML/AI landscape to ensure adoption of state-of-the-art techniques and tools where appropriate.

Travel: Low travel

Key Requirements

•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, complex ML platform or product.
•Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
•Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.

Experience:10+ yearsData scienceMachine learningAi

Education:Bachelor's

Skills:CommunicationLeadershipMentorshipCollaborationStrategic thinking

Languages:English

Tech Stack:LLM orchestrationEmbedding modelsVector storesML OpsAWSGCPAzure

Company Brief

Twilio

Provides cloud communications platforms and APIs enabling developers to add voice, messaging, video, and authentication features to applications. Serves enterprises and developers with programmable communications, engagement, and customer interaction tools.

Industry: API Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 4.0

Website LinkedIn

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Twilio

2 months ago

Senior Manager, Machine Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with engineering and cross-functional teams to translate ambiguous business problems into a clear, prioritized ML product roadmap.
•Act as a hands-on contributor while providing strategic direction and mentorship to the team.
•Establish an engineering setup that enables rapid iteration, experimentation, and deployment of models with a focus on operational excellence.
•Drive continuous improvement in processes, tooling, and infrastructure to optimize velocity, quality, and maintainability.
•Monitor the ML/AI landscape to ensure adoption of state-of-the-art techniques and tools where appropriate.

Travel: Low travel

Key Requirements

•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, complex ML platform or product.
•Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
•Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.

Experience:10+ yearsData scienceMachine learningAi

Education:Bachelor's

Skills:CommunicationLeadershipMentorshipCollaborationStrategic thinking

Languages:English

Tech Stack:LLM orchestrationEmbedding modelsVector storesML OpsAWSGCPAzure

Company Brief

Twilio

Industry: API Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 4.0

Website LinkedIn