GTM Enablement - Technical + Partners

About the Role

As the Technical Enablement Lead at Lovable, you won’t just onboard Solution Architects—you’ll leverage them as the bench that raises the technical floor for the entire go-to-market (GTM) team: Sales, Customer Success (CS), and Solutions Architects (SA). Your mission is to build systems that empower Account Executives (AEs) to articulate the art of the possible and enable CSMs to lead AI transformation conversations with confidence. You’ll design the infrastructure that makes this happen, ensuring technical depth scales across the field without turning every CSM into an SA.

About Lovable

Lovable is redefining software creation, allowing anyone—from solopreneurs to Fortune 100 teams—to build software using any language. Millions use Lovable to turn raw ideas into real products, fast. We’re at the forefront of a foundational shift in how software is built, with Lovable-built applications and websites visited hundreds of millions of times monthly. Our enterprise footprint is growing rapidly, and we’re just getting started.

We’re a small, talent-dense team based in Stockholm, built on extreme ownership, high velocity, and low-ego collaboration. We seek people who care deeply, ship fast, and want to make a dent in the world.

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 by automating processes, embedding knowledge into workflows, and removing friction before it becomes a training problem. When training is necessary, it should focus on real skill development—not checklists. If you think in programs and curricula, this role may not be the right fit. If you think in systems and leverage, keep reading.

Requirements

• 7+ years in a technical GTM role (e.g., SA, SE, solutions consultant, or technical enablement partner), with a preference for candidates who have worked in the field and built systems to scale their insights.
• Informal enablement experience counts.
• Technically credible enough to be a peer to SAs and Field Engineers, while commercially sharp enough to translate that depth into actionable insights for AEs and CSMs.
• Experience building and shipping technical knowledge systems: demo libraries, reference architectures, competitive technical positioning, and AI use-case pattern libraries.
• Fluent in AI use cases and enterprise AI transformation conversations—this is core to what Lovable sells, and you’ll need to be the most prepared person in the room on it.
• Strong cross-functional operator. This role spans three pillars (Sales, CS, SA) and has no precedent at Lovable. You’ll define the scope as you go.
• Preferred: Experience at a PLG or AI-native company where technical positioning was a competitive differentiator; prior work building cross-functional technical enablement programs for pre- and post-sale teams.

Responsibilities

• Own the technical knowledge hub for GTM: demo library, reference architectures, competitive technical positioning, and AI use-case patterns the field relies on in live deals.
• Raise the technical floor for AEs and CSMs—both new hires and tenured reps—by enabling use-case fluency, articulating the art of the possible, and leading 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 requiring every CSM to become an SA.
• Co-own SA ramp and ongoing development alongside the Head of SA and senior SA team, ensuring new SAs get up to speed quickly and tenured SAs have the infrastructure to keep growing.
• Drive accountability for AE and CSM technical readiness, deal-stage SA leverage, and the quality of the technical narrative across the funnel.

Initial Projects

• Audit current technical knowledge assets across GTM and map gaps against deal losses.
• 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.