# ElevenLabs — Engineering - Internal AI Transformation

| Field | Value |
|---|---|
| **Date found** | 2026-05-27 |
| **Company** | ElevenLabs |
| **Role** | Engineering - Internal AI Transformation (Internal AI Engineer) |
| **Location** | Fully remote globally (Dublin office available) |
| **Salary** | Undisclosed |
| **Job URL** | https://elevenlabs.io/careers/a3097257-a07a-4a7e-b9fe-b8555c1a0fa7/engineering-internal-ai-transformation |
| **Status** | New |

---

## Company Research

> Full company record: [companies/ElevenLabs/company_overview.md](../companies/ElevenLabs/company_overview.md)

| Field | Value |
|---|---|
| **Headquarters** | New York, NY (global distributed team) |
| **Founded** | 2022 |
| **Employees** | ~500+ (offices in Dublin, London, NYC, SF, Tokyo, Warsaw, Bangalore) |
| **LinkedIn** | https://www.linkedin.com/company/elevenlabs-io/ |
| **Website** | elevenlabs.io |
| **Blog** | elevenlabs.io/blog |

- **Product:** AI audio platform — voice synthesis, speech-to-speech, voice agents (ElevenAgents), and foundational audio models (ElevenAPI)
- **Customers:** Millions of users + enterprise clients including Deutsche Telekom and Meta; developers via API; content creators via ElevenCreative
- **Notable:** $781M total funding at $11B valuation; backed by Andreessen Horowitz, ICONIQ Growth, Sequoia; founded 2022 by Mati Staniszewski and Piotr Dąbkowski; expanded from voice into full AI agent platform (ElevenAgents)

---

## Job Summary

**What they do:** ElevenLabs builds the world's leading AI audio platform — voice synthesis, speech AI, voice agents, and foundational audio models — serving millions of users and major enterprise clients.

**The role:** IC "Internal AI Engineer" embedded across GTM, Operations, and Finance teams, owning end-to-end design and delivery of agentic AI workflows that eliminate manual toil and reshape how ElevenLabs operates at scale.

**Core work:**
- Design and ship agentic AI agents and workflow orchestrations using ElevenAgents, Claude, and n8n
- Integrate AI systems with core business stack (Salesforce, Slack, Ashby) via APIs, webhooks, and orchestration layers
- Build reusable automation services, patterns, and shared templates that multiply team output
- Own experiments end-to-end: spot opportunity → build solution → measure impact
- Develop evaluation and monitoring frameworks to keep AI-native workflows reliable, auditable, and safe

**Stack:** Python · SQL · Claude (Anthropic) · ElevenAgents · n8n · GCP · Kubernetes · Docker · LLM orchestration · RAG · Webhooks/REST

**Work style:** Fully remote globally; optional offices in Dublin, London, NYC, SF, Tokyo, Warsaw, Bangalore; high-velocity lean team; no job titles; "AI-first" culture

---

## Score: 85%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 80% | Core work is building agentic AI workflows (Claude, ElevenAgents, n8n); internal-facing rather than product-facing reduces depth slightly |
| Tech fit (25%) | 72% | Python, SQL, Claude/Anthropic, RAG, GCP/K8s/Docker match well; no explicit LangGraph/LangChain but Claude is primary stack |
| Remote fit (25%) | 100% | Fully remote globally — no location restrictions whatsoever |
| Company culture fit (15%) | 92% | One of hottest AI startups ($11B), AI-first culture, no job titles, minimal bureaucracy, "high-velocity lean teams" — textbook ideal fit |
| IC/leadership balance (10%) | 85% | Pure IC builder role; proactive ownership expected; no management |
| **Final (weighted)** | **85%** | |

---

## Strengths

- ElevenLabs is among the most exciting AI companies in the world right now — $11B valuation, top-tier AI investors, expanding from voice into agents
- Fully remote globally — zero location friction
- Core work is exactly "agentic AI engineering with Claude" — building Claude-powered workflows and automation pipelines at a real frontier AI company
- Lean IC role with end-to-end ownership; culture explicitly values builders who don't wait for specs
- Company uses Claude as primary AI stack — directly aligned with Luca's experience with Anthropic APIs

---

## Weaknesses & Risks

- Posted February 27, 2026 — confirmed still open as of 2026-05-27 (active on elevenlabs.io/careers)
- Role is internal-facing (GTM/Ops/Finance automation) rather than working directly on ElevenLabs' AI products — could feel peripheral for someone wanting to build foundational AI systems
- Salary undisclosed — given the $11B valuation and top-tier investors this should be competitive, but not confirmed
- No explicit LangGraph/LangChain — stack is Claude + n8n + ElevenAgents (which is fine but different from typical LLM engineering tooling)

---

## Suggestions

- Lead with Claude Code / Anthropic API experience — this role uses Claude as primary AI layer
- Highlight automation/workflow-building track record (e.g., agentic pipelines, n8n or similar orchestration tools)
- Role confirmed open as of 2026-05-27; apply promptly given it has been live since Feb 2026 (may be near close)
- Emphasise the "systems thinking" angle: reliability, auditability, evaluation frameworks — the posting explicitly calls this out

---

## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |
