Senior Engineering Manager (L5)

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. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences th...

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

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.

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!
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.
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.