Twilio

Build the future of communications.

Principal Product Manager – AI, LLM

Product ManagerProduct ManagerFull TimeRemoteTeam 5,001-10,000H1B SponsorCompany SiteLinkedIn

Location

California

Posted

23 days ago

Salary

$171.1K - $226.5K / year

Bachelor Degree8 yrs expEnglishAWS

Job Description

• Lead the strategy for backend services that aggregate Twilio’s proprietary data (docs, support tickets, API logs) into a unified knowledge layer for our internal agents. • Define the logic and triggers for AI "nudges"—real-time, backend-driven interventions that guide customers when they encounter errors or configuration hurdles. • Ensure the Copilot backend provides a consistent "memory" and personality for agents, whether the customer is interacting via the Console, SMS, or Slack. • Establish the frameworks for RAG (Retrieval-Augmented Generation) and fine-tuning to ensure the Copilot provides technically accurate, "hallucination-free" advice on Twilio’s complex product suite. • Partner with Product, Engineering, and Growth teams to embed intelligent assistance directly into the core user flows of every Twilio product. • Manage the infrastructure costs and latency of LLM calls to ensure that Twilio’s agents respond in real-time without compromising the snappiness of the Console.

Job Requirements

  • 8+ years of Product Management experience, with a focus on backend services, internal platforms, or intelligent automation.
  • Deep understanding of how to build AI systems that utilize contextual data (user state, account history, real-time logs) to provide relevant, personalized assistance.
  • Familiarity with building RAG pipelines and giving agents "tools" (e.g., the ability to look up a customer's recent SID errors or billing status) to solve problems.
  • Proven ability to use AI to drive business metrics like time-to-first-hello, churn reduction, and support ticket deflection.
  • Ability to design backend systems that can handle high-concurrency AI interactions while maintaining strict data privacy and security.
  • Experience convincing product teams to integrate centralized AI services into their specific product silos.
  • Experience building chatbots or assistants specifically for technical/developer personas (e.g., GitHub Copilot, AWS Q).
  • Experience using data to identify "friction points" in a user journey and designing automated interventions to solve them.
  • Knowledge of how to transition a customer conversation from a web-based chat to a live support ticket or a phone call with full context.

Benefits

  • Health care insurance
  • 401(k) retirement account
  • Paid sick time
  • Paid personal time off
  • Paid parental leave

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