Twilio Senior Manager, Machine Learning Hiring 2026 | Remote – India

Twilio Senior Manager, Machine Learning hiring is active on the company's official careers system. Twilio is hiring for Senior Manager, Machine Learning in Remote – India. The official listing focuses on machine learning engineering leadership, NLP communication models, and production ML pipeline scaling. This guide uses the live employer listing and links directly to it.

The position is based in Remote – India. Full-time employment. Candidates should compare their recent work with the verified requirements before applying.

Twilio Senior Manager, Machine Learning: Quick Facts

Company	Twilio
Position	Senior Manager, Machine Learning
Location	Remote – India
Employment	Full-time employment
Published or timing note	Official listing verified active on 21 June 2026
Application deadline	No closing date is stated; apply while the official listing remains active

Salary and Employment Context

The official listing does not publish an India salary range. Candidates should rely on the written offer for base pay, variable pay, equity, benefits, payroll entity, working hours, and notice terms.

The current role is described as full-time employment. The location information is Remote – India. Ask the recruiter to confirm office attendance, shift allowances, equipment, leave, and probation before accepting.

Who Can Apply?

The official listing is the eligibility source. The points below summarise the closest applicant profile without adding an unlisted degree, certification, or guarantee.

• Significant software development experience in machine learning, NLP, or data science platforms.
• Prior experience managing ML engineering or data science teams in production environments.
• Deep knowledge of ML frameworks (TensorFlow, PyTorch), pipeline tools, and model serving.
• Understanding of NLP technologies, voice/text analysis, and API integrations.
• Excellent people management, communication, and strategic project management skills.

What Does a Senior Manager, Machine Learning Do?

The work is practical and outcome-focused. A strong application should show where the candidate performed similar tasks, improved reliability, or solved a measurable problem.

• Lead and scale a team of ML engineers building communications intelligence capabilities.
• Direct the roadmap for model training, deployment, and real-time inference services.
• Collaborate with product, data platform, and engineering leaders to integrate ML features.
• Mentor ML engineers, manage team performance, and support hiring.
• Maintain operational quality, model reliability, cost efficiency, and accuracy metrics.

Skills to Highlight in the Resume

Use evidence instead of a long keyword list. Mention the system, your decision, the tool used, and the result. Keep confidential customer or employer information out.

• Machine learning engineering leadership, roadmap coordination, and team management.
• ML frameworks, MLOps, model deployment pipelines, and cloud GPU scaling.
• NLP concepts, speech-to-text engines, and communications analysis.
• Data engineering workflows, databases, and monitoring tools.

Application Fit Checklist

Before applying, compare the role with your last two years of work. A smaller number of strong matches is more useful than a resume filled with unrelated tools.

• Place the most relevant role, project, or production result in the top third of the resume.
• Quantify scale, reliability, delivery speed, customer impact, or quality improvement where evidence exists.
• State your current location and genuine availability for the listed office, remote, shift, or time-zone pattern.
• Remove skills that you cannot explain through a project, incident, design choice, or working example.
• Check that dates, titles, links, and contact details are current before submitting.

How to Apply on the Official Site

Open the official Twilio job page, read the latest description, and check that the role still accepts applications. Tailor the resume to the verified work.

• Use an email address and mobile number that you check regularly.
• Upload a concise resume with relevant projects, impact, dates, and technologies.
• Answer screening questions accurately and do not inflate years of experience.
• Save the confirmation email or application reference for later follow-up.

Do not pay for an interview, referral, offer letter, or application link. Verify recruiter messages against the employer domain and the official job page.

Preparation Before the Interview

Start with the job description, then prepare short examples that match its main responsibilities. Use a clear situation, action, and result instead of memorised answers.

• Prepare a discussion on model lifecycle governance, including retraining and drift detection.
• Review MLOps architectures for low-latency model inference at scale.
• Discuss how you manage research uncertainty and guide data scientists toward production goals.

Check the role page again before the interview because status, location, and process can change. The employer decides shortlisting, assessment stages, compensation, and selection.

Frequently Asked Questions

Is the salary published?

The India listing does not publish a salary range. Confirm every compensation component in the written offer.

Where is the job based?

The official listing gives the location as Remote – India.

Was the listing checked?

Yes. The official employer page was active on 21 June 2026.

Should applicants pay a fee?

No. Never pay for a private job application, interview, referral, or offer letter.

What is the official source?

The source is the official Twilio recruitment page at job-boards.greenhouse.io. Use that page for the current status.