Senior Manager, Machine Learning

SendGrid; India; Remote; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Competitive pay

Generous time off

Wellness leave

Healthcare benefits

Retirement savings program

Job summary

SendGrid is seeking a Senior Manager, Machine Learning to lead the Conversation Memory team. This remote position based in India requires a hands-on leader to drive innovative AI solutions.

The ideal candidate has extensive experience in applied machine learning, strong leadership skills, and a solid background in cloud services. Responsibilities include mentoring a diverse team and shaping the future of conversational AI.

Qualifications

• 10+ years of experience in applied ML or AI.
• 3+ years leading a team of ML engineers or data scientists.
• Exceptional communication and mentorship skills.

Responsibilities

• Collaborate with teams to prioritize ML product roadmap.
• Contribute hands-on technical expertise.
• Define key performance indicators for ML products.

Skills

Applied ML

Leadership in AI teams

Cloud services (AWS/GCP/Azure)

ML Ops

Communication skills

Education

Bachelor's in Computer Science or related field

Tools

AWS

GCP

Azure

Job description

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

See yourself at Twilio

Join the team as Twilio’s next Senior Manager, Machine Learning on Twilio’s Conversation Memory team.

About the job

This position is critical to leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI, specifically by owning the development of 0-to-1 platform features that empower developers to build sophisticated, context‑aware customer engagement applications. This is a highly technical, hands‑on role, requiring a "player-coach" mentality to actively contribute technical expertise, bridge the gap between theoretical research and production‑grade experimentation, and provide strategic direction to the team, rather than being purely a people manager. The leader in this role must demonstrate a strong bias for action, establishing a high‑performing engineering setup that enables rapid iteration, experimentation, and deployment of models in this 0-to-1 setting. Furthermore, they will be responsible for working closely with cross‑functional stakeholders to translate ambiguous business problems into a clear, prioritized product roadmap and communicate progress and updates to leadership.

Responsibilities

In this role, you’ll:

• Collaborate with other engineering teams and cross functional teams to translate ambiguous business problems into a clear, prioritized ML product roadmap for your team.
• Have a "player-coach" mentality, and contribute hands‑on technical expertise while providing strategic direction and mentorship to the team.
• Establish a high‑performing engineering setup that enables the team to rapidly iterate, experiment, and deploy models, fostering a culture of operational excellence and close partnership with product and business stakeholders.
• Drive continuous improvement in the team's processes, tooling, and infrastructure to optimize for velocity, quality, and maintainability.
• Actively monitor the ML and AI landscape to ensure the team is continuously up‑to‑speed on state‑of‑the‑art research, techniques, and tools, promoting their strategic adoption where appropriate.
• Recruit, manage, and develop a diverse and highly‑skilled team of Machine Learning Engineers, setting clear goals and expectations, and providing timely and actionable feedback.
• Define and track key performance indicators (KPIs) to measure the impact and success of the team’s ML products, communicating results clearly to leadership and stakeholders.
• Manage project timelines, dependencies, and risks, ensuring timely delivery of high‑quality, reliable, and scalable ML solutions.

Required Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

• Bachelors in Computer Science, Engineering, or a related field.
• 10+ years of experience in Applied ML or AI, including 3+ years of either 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 deep knowledge of 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.
• Strong background in building cloud‑based services using AWS, GCP, or Azure, with experience managing high‑volume data and various data stores.
• Experience in recruiting, hiring, and scaling high‑performing Machine Learning or engineering teams.
• Exceptional communication and collaboration skills, with a proven ability to mentor engineers, influence product direction, and drive results across multiple teams.

Desired Qualifications

• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field from a top‑tier university.
• A track record of relevant publications at top ML conferences or significant open‑source contributions.
• Experience working on conversational AI agents.
• Experience working in a geographically distributed setting.

Location

This role will be remote, and based in India - Karnataka.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in‑person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.