Note: The job is a remote job and is open to candidates in USA. Twilio is a communications technology company that enables businesses and developers to create personalized customer experiences through innovative communications solutions. The Senior Technical Program Manager will build and operate intelligent automation, knowledge systems, AI workflows, observability platforms, and decision logic that support Global Customer Services. The role combines hands-on software development with technical program management to improve customer outcomes and operational performance.
Responsibilities
- Architect and build the systems that encode how GCS operates — account health observability, intelligent routing, knowledge retrieval, and workflow automation across our TAM, PS, and EM motions; including cost optimization
- Build AI workflows using the Anthropic Claude API, Claude Agent SDK, and Claude Code, including MCP (Model Context Protocol) servers that connect agents to Slack, Jira, Zendesk, Grafana, Airtable, and internal Twilio systems
- Partner with CXO to design the decision frameworks that determine when systems act autonomously, when humans stay in the loop and own the guardrails — edge cases caught, prompt injection blocked, unintended behaviors prevented — that keep failure rates low
- Extend GCS's observability and analytics foundation with production-quality dashboards and integrations across Grafana (ClickHouse-backed), Salesforce, Tableau, Looker, and Airtable — choosing the right tool for the audience and data source rather than defaulting to one platform
- Operate within CXO's vetting-and-graduation governance model, and help mature it: versioning, evaluation frameworks, A/B testing, and systematic performance measurement across scenarios with GCS specific focus
- Instrument everything you build — retrieval accuracy, action success rates, deflection, and failure patterns — and tie technical performance to GCS outcomes like time to value, resolution rate, cost-per-ticket, and time-to-resolution
- Translate complex system behavior into plain language for director and executive audiences while producing clear technical documentation for the teams who depend on your systems
Skills
- 7+ years of experience building production software or technical systems, in roles such as platform engineering, solutions architecture, or hands-on technical program management
- Production-quality proficiency in Python and/or TypeScript (Node.js), with fluency in REST API integration fundamentals: authentication (OAuth 2.0, API keys, token refresh), webhooks, pagination, rate limiting, error handling and retries, and JSON transformation
- Hands-on experience building AI systems with large language models — tool use / function calling, structured outputs, prompt architecture, and evaluation harnesses — including building and deploying MCP servers to connect enterprise systems
- Deep understanding of how large language models work: how they reason, where they fail, and why. Fluency in RAG architectures, prompt engineering patterns, and agent frameworks
- Advanced SQL, including analytical queries against columnar stores such as ClickHouse
- Dashboard and application development experience across Grafana (data sources, panels, variables, dashboard-as-code, alerting), Salesforce (SOQL, report types, Lightning reports and dashboards), Tableau (data modeling, calculated fields, LOD expressions, publishing to Tableau Cloud or Server), Looker (LookML modeling, Explores, derived tables, publishing to dashboards), and Airtable (base/table design, automations, scripting extensions, API integration) — with the judgment to choose the right tool for a given audience and data source
- Strong engineering practices: Git-based version control, code review, basic CI, and least-privilege patterns when handling customer data
- Demonstrated ability to translate business requirements into system specifications and explain complex technical behavior to non-technical stakeholders
- Experience embedded in a support or professional services organization, building systems for the teams doing the work
- Experience with Zendesk or similar service platforms, including APIs, triggers, and routing logic
- Experience defining metrics and observability for AI systems in production, and running structured A/B tests or evaluations
- Familiarity with Twilio's products or the CPaaS/SaaS domain
Benefits
- Remote-first work arrangement
- Generous time off
- Parental leave
- Wellness leave
- Healthcare
- Retirement savings program
- Equity plan eligibility
- Corporate bonus plan eligibility
- Health care insurance
- 401(k) retirement account
- Paid sick time
- Paid personal time off
- Paid parental leave
- Support for volunteering and donation efforts
Company Overview
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