Senior Engineering Manager (L5)

Hiring and how we work

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

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. 
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See yourself at Twilio

Join the team as our next Senior Engineering Manager , Twilio’s Segment team.

About the job

As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP).

Responsibilities

In this role, you’ll

• Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment.
• Champion team growth and success, prioritizing mentorship and individual development.
• Architect and operate always-available, complex distributed systems in cloud environments.
• Guide technical decisions, articulating trade-offs between cost, performance, and reliability.
• Advocate for agile processes, continuous integration, and robust automation.
• Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects.

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!

*Required

• 14+ years of engineering experience with a 5+ year proven track record managing software teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Proven experience managing multiple workstreams within the team.
• Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms.
• Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture.
• Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec). 
• Excellent communication, problem-solving, and operational excellence skills.

Desired

• Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges.
• Expert programming experience in Go or similar object-oriented languages.
• Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes). 
• Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus).
• Familiarity with AI/ML technologies.
• Experience managing and operating AWS infrastructure
• Experience working in a geographically distributed team. 

Location

 This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi).

The rest of this description is on the employer’s own page.