GTM Technical Enablement Partner

Menlo Ventures; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Lovable, the software creation platform, seeks a Technical Enablement Lead to own GTM enablement across Sales, CS, and SA. You’ll onboard Solution Architects and design scalable knowledge systems that raise the field’s technical floor and empower AEs and CSMs to articulate the art of the possible.

You’ll build demo libraries, reference architectures, and AI use‑case patterns, working with a fast, cross‑functional team to ensure readiness at every stage of the deal funnel.

Qualifications

• 7+ years in a technical GTM role, including enabling solutions teams or pre/post-sales partners.
• Able to translate deep technical concepts into field-ready guidance for AEs and CSMs.
• Has built and shipped technical knowledge systems (demo libraries, reference architectures, patterns).
• Fluent in AI use cases and enterprise AI transformation conversations.
• Strong cross-functional operating skills with ability to define scope and drive programs.

Responsibilities

• Own the technical knowledge hub for GTM: demos, architectures, competitive positioning, and AI use-case patterns.
• Raise the technical floor for AEs and CSMs, accelerating onboarding and deepening expertise for tenured reps.
• Leverage the SA team as a knowledge multiplier and systematize insights for broader field use.
• Co-own SA ramp and ongoing development with the Head of SA and senior SA team.
• Ensure AE/CSM readiness and strong technical narratives across the funnel.

Skills

GTM leadership

AI knowledge

Enablement systems

Cross-functional collaboration

Public speaking

Tools

Knowledge management platforms

Job description

TL;DR: Technical enablement lead for all of Lovable's GTM: Sales, CS, and SA. Your job isn't only to onboard Solution Architects, It's to leverage them as the bench that raises the technical floor for the entire field. AEs need to articulate the art of the possible. CSMs need to lead AI transformation conversations without flinching. You build the systems that make that happen.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

How we think about this role

Enablement Partners at Lovable are productivity engineers. The goal is to build systems that eliminate the need for enablement in the first place: automate the process, embed the knowledge in the workflow, and remove the friction before it becomes a training problem. When training is the answer, it should be because automation genuinely can't reach. And it should focus on real skill development, not teaching someone how to follow a checklist. If you think in programs and curricula, this role will be a mismatch. If you think in systems and leverage, keep reading.

What we're looking for

• 7+ years in a technical GTM role, whether as an SA, SE, solutions consultant, or technical enablement partner. The preferred candidate has worked in the field and has built systems to scale what they learned there. Informal enablement experience counts
• Technically credible enough to be a peer to SAs and FDE; commercially sharp enough to translate that depth into what AEs and CSMs can actually use in the field
• Has built and shipped technical knowledge systems: demo libraries, reference architectures, competitive technical positioning, AI use-case pattern libraries
• Fluent in AI use cases and enterprise AI transformation conversations. This is what Lovable sells. You need to be the most prepared person in the room on it
• Strong cross-functional operator. This role spans three pillars and has no precedent inside Lovable. You'll need to build the scope as you go

Preferred: Experience at a PLG or AI-native company where technical positioning was a genuine competitive differentiator; prior work building cross-functional technical enablement programs for both pre- and post-sale teams

What you'll do

• Own the technical knowledge hub for all of GTM: demo library, reference architectures, competitive technical positioning, and the AI use-case patterns the field draws on in live deals
• Raise the technical floor for AEs and CSMs, both new hires getting up to speed and tenured reps who need to go deeper. Use‑case fluency, art of the possible, AI transformation conversations that hold up in front of CIOs and VPs of Product
• Leverage the SA team as a force multiplier: extract their knowledge, systematize it, and make it accessible to the broader field without turning every CSM into an SA
• Co‑own SA ramp and ongoing development alongside the Head of SA and the senior SA team. New SAs get up to speed fast, and tenured SAs have the infrastructure to keep developing
• Held to AE and CSM technical readiness, deal‑stage SA leverage, and the quality of the technical narrative across the funnel

Projects you'll tackle first: Audit current technical knowledge assets across GTM and map the gaps against what AEs and CSMs are losing deals over. Build the first version of the AI use‑case pattern library and reference architecture set. Design the SA‑as‑knowledge‑multiplier model: how technical depth flows from the SA org into the broader field.

We treat all candidates equally.