GTM Enablement - Partnerships
Apply at source. ElevenLabs handles the application directly; Houtini doesn't take a fee from candidates or companies. We curate which companies appear; the listings come from yubhub.
What the team is looking for.
We're hiring our first Sales Enablement - Partnerships role to build the foundation of how ElevenLabs enables, trains, and scales its global partner ecosystem. This is a 0-to-1 builder role. You will define the strategy, build the infrastructure, and execute hands-on as we scale.
What sets this role apart: we're looking for someone with a technical foundation. You've been in the room for complex API integrations, agent deployments, or voice AI implementations. You understand what it takes for a partner's solutions engineer to confidently build and demo on our platform You'll translate that credibility into world-class enablement that bridges the gap between product capability and partner execution.
This role sits within GTM Enablement and reports to the GTM Enablement Lead, International. You will work in close partnership with:
- Revenue Partnerships (owning partner pipeline and commercial strategy)
- Partner Success (owning partner adoption, outcomes, and long-term success)
You will support a global network of resellers, systems integrators (SIs), and technology partners.
While partner enablement is your primary focus, you'll also support internal GTM Enablement across AE, SDR, and CSM roles as needs arise. This is a full-stack enablement role on a lean team , you'll build content, deliver training, design e-learning, and flex across audiences as the business requires.
This is a player-coach role. There are no direct reports initially; as the function scales, there may be an opportunity to build a team.
Responsibilities
- Build ElevenLabs' partner enablement foundation from scratch - onboarding journeys, role-based certification tracks (Sales, SE, Delivery), and the Partner Academy (LMS/PRM) that scales it globally
- Design hands-on technical labs, sandbox environments, and certification exercises that give partner SEs real implementation experience before going to market
- Develop partner-facing commercial assets - playbooks, discovery guides, demo scripts, architecture blueprints - that translate ElevenLabs' capabilities into partner field execution
- Work closely with Revenue Partnerships to align enablement with pipeline motions, target accounts, and activation metrics; measure success by partner time-to-first-deal, certification rates, and partner-sourced pipeline
- Use ElevenLabs' own voice and agent technology to build localized, AI-native training content that showcases the platform through the enablement experience itself
- Flex across internal Sales Enablement (AE, SDR, CSM) as needed - this is a lean, full-stack team
Requirements
- 4–7+ years in partner/channel enablement, solutions engineering, or GTM enablement at a SaaS or platform company, with at least 2 years enabling external partners
- Proven 0→1 builder: you've created a partner enablement program, not just operated inside one
- Hands-on technical comfort with APIs, webhooks, and developer tooling , you can read API docs, run a Postman collection, and lead a credible technical workshop without being an engineer
- Experience building hands-on labs, sandbox environments, or technical exercises for partner SEs
- Owned or built LMS/PRM infrastructure; you know what to build vs. buy and how to scale it
- Strong commercial instinct: you measure enablement by activation, pipeline quality, and revenue-generating behavior
- Experience enabling diverse partner types (resellers, GSIs, tech partners) and adapting by partner motion and maturity
- Structured thinker who can operate with autonomy, low process, and ambiguity
- Comfortable facilitating live and async training across global time zones
- Remote-first; strong preference for Europe/UK to collaborate with the Sales Enablement Lead, International and London HQ
- Strong stakeholder management skills across Revenue Partnerships, Product, and Marketing teams
- Analytical mindset with experience defining and tracking enablement effectiveness
- Comfortable operating across global time zones and cultures
- Fluency in English; additional languages are a plus
Location
Remote-first, globally distributed role. We have a strong preference for candidates based in Europe or the UK, to enable close collaboration with the Sales Enablement Lead, International and London HQ. Exceptional candidates outside Europe will be considered if they can operate effectively across European and US time zones.
Why this role matters
The systems, standards, and programs you build will define how ElevenLabs scales through partners. This role directly impacts partner revenue, customer outcomes, and the long-term success of our partner ecosystem. If you're excited to build from zero, operate at high velocity, and shape a foundational function, we'd love to hear from you.
- partner/channel enablement
- solutions engineering
- GTM enablement
- APIs
- webhooks
- developer tooling
- LMS/PRM infrastructure
- commercial instinct
- stakeholder management
- analytical mindset
Other roles you might consider.
Filtered through the same AI-companies allowlist.
Strategic Account Executive, Tech
Anthropic
Account Executive - ASEAN
Anthropic
Strategic Account Executive, SLED
Cursor
Commercial Account Executive
Cursor
Account Executive, CyberSecurity
Mistral AI
Account Director, Large Enterprise
OpenAI
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.