or apply directly on Twilio's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 9 days Twilio's roles stay open a median of 44 days
- Reposted
- No
- Salary listed
- No 47% of Twilio's roles list one
- Ghost-job risk at Twilio
- high 77 stale, 14 reposted of 158 open
- Hiring momentum
- 277 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Twilio's own greenhouse board since 2026-08-03. Full hiring picture for Twilio.
About this role
As a Senior Engineering Manager on Twilio's Segment team, you will lead the development of high-scale data processing systems, ensuring they operate efficiently while handling vast amounts of data. Your responsibilities will include mentoring team members, architecting distributed systems, guiding technical decisions, and advocating for agile processes. You will also translate complex strategies into actionable plans for various stakeholders.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Twilio as an employer.
What you need
- 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)
Nice to have
- 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
What you get
- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- Retirement savings program
- Support for volunteering and donation efforts
Worth weighing
- Remote role with occasional in-person meetings required
- No specific salary mentioned
- Focus on AI-centric engineering may require adaptation for candidates not familiar with AI technologies
Summarised from Twilio's posting. Read the full original.
Listed by Twilio on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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