Staff Platform Manager, Conversational Products

Airbnb

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$200,000–$240,000 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $220k
$167k most similar roles pay here $253k

This role pays more than 59% of similar roles. Most pay $175,000–$238,500 — the shaded band above. At the midpoint, this role pays about $220k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

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At a glance

TL;DR · Staff Platform Manager, Conversational Products

As a Staff Platform Manager, Conversational Products, you will join the AI Assistant team to manage the agentic AI system powering support experiences for guests and hosts. You will own the platform determining how the assistant reasons, retrieves, and responds, including the layers for routing requests, utilizing knowledge, performing actions, and maintaining safety through evaluation systems. Your daily work involves setting multi-quarter product directions, analyzing production data using modern AI tools and coding agents, and building end-to-end capabilities from identification to calibration. You will manage LLM-based evaluators, oversee launch readiness for model changes, and resolve architectural problems. Required expertise includes experience with generative AI, retrieval-augmented generation, agentic architectures, and function-calling. You must possess technical depth in debugging prompts, data fluency, and the ability to translate vague quality signals into measurable components within a high-stakes support environment.

What you'll do

  • Define the product roadmap and multi-quarter vision for how the AI Assistant reasons, retrieves, and responds to user requests.
  • Own the evaluation strategy by designing LLM-based evaluators and tools to ensure model safety and accuracy at scale.
  • Determine what constitutes a successful resolution for various user problems and align engineering and policy partners on these definitions.
  • Analyze production data directly to validate results and identify areas where the AI system is failing or requires improvement.
  • Manage launch readiness for major model changes by balancing rapid iteration with necessary safety and risk mitigation protocols.
  • Author technical artifacts that define production behavior, including prompt engineering and logic for agentic workflows.
  • Translate complex technical trade-offs into clear narratives for executive leadership to drive high-level decision making.

What we're looking for

  • 9+ years of experience building technology products.
  • In product management or a closely related technical role such as engineering, data science, or applied research.
  • Direct experience shipping generative AI or ML products to production, including RAG, agentic architectures, and evaluation systems.
  • Hands-on technical depth to read and debug prompts and understand ML and engineering constraints.
  • Data fluency to work directly with production data and validate analysis end to end.
  • Experience designing, calibrating, or certifying automated model-based evaluations.
  • Strong executive communication skills to lead with decisions and tailor narratives for different audiences.
  • Ability to manage ambiguous mandates and drive alignment across cross-functional teams.

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