# Director of ML Engineering, Conversation Product Area

**Company:** [Spotify](https://hotfix.jobs/companies/spotify)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 8+ years
**Skills:** llm agents, agent orchestration, evaluation infrastructure, automated judges, regression suites, search systems, information retrieval, speech ml, voice infrastructure, Prompt Engineering, Machine Learning, platform migration, Distributed Systems, architecture
**Posted:** 2026-08-06

> Leads engineering for Spotify’s Conversation Product Area, including shared agent infrastructure, evaluation systems, search, and voice platforms. The role manages approximately 70 engineers and requires deep technical leadership across large-scale ML platforms, agent systems, search, or speech infrastructure.

## Job Description

## Responsibilities
- Own engineering execution and technical direction for the Conversation Product Area, including the Agent Engine, evaluation infrastructure, Search platform, AI Voice platform (Speak), and consumer agentic features.
- Lead production systems at massive scale, applied ML research, and infrastructure used by other product areas.
- Co-lead the Product Area in a paired product/engineering model, partnering on planning, prioritization, and external representation.
- Manage approximately 70 engineers through Senior Engineering Managers and Staff/Principal Engineers across roughly nine teams.
- Drive migration of existing agentic infrastructure onto the shared Agent Engine.
- Set the technical strategy for Spotify's first-party voice investment, including build-versus-buy decisions and delivery of character and brand voice capabilities.
- Define evaluation standards using feature-specific judges, datasets, and regression suites.
- Establish engineering quality standards, including code review discipline and test coverage for AI-assisted development.
- Represent the engineering organization in company-wide architecture and steering committee discussions.

## Requirements
- Deep technical expertise in architecture and production engineering for agent runtimes, evaluation systems, search, or voice and speech infrastructure.
- Experience leading large engineering organizations through platform consolidations, migrations, or major technology evolutions.
- Experience with at least two of the following:
  - LLM-based agent systems and orchestration
  - Evaluation or evaluation-infrastructure design, including automated judges and regression suites
  - Large-scale retrieval or search systems
  - Speech or voice machine-learning systems and production voice infrastructure
- Experience managing engineering managers and building scalable management structures.
- Track record of building strong, nimble teams and adapting resourcing and priorities without losing delivery momentum.
- Availability to work with teams primarily in Eastern North America and Central European time zones.

## Compensation and Benefits
- Flexible work location within the North America or EMEA regions, where Spotify has a work location.

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