GTM Technical Enablement Partner

Lovable; Town of Boston, Northern (NY, KY); On-site; USD 150,000 - 210,000; Full time

Job summary

Lovable is seeking a Technical Enablement Lead to power our GTM machine across Sales, Customer Success, and Solutions Architecture. You will onboard Solution Architects and elevate the entire field by turning deep technical depth into practical assets.

You’ll build systems that automate knowledge capture, develop AI use-case patterns, and enable AEs and CSMs to articulate the art of the possible in enterprise conversations. The role spans three pillars with no precedent inside Lovable.

Qualifications

• 7+ years in a technical GTM role with field impact.
• Ability to translate depth into field-ready enablement for AEs and CSMs.
• Experience building technical knowledge systems: demo libraries, architectures, patterns.
• Fluent in AI use cases and enterprise AI transformation conversations.
• Strong cross-functional operator across three pillars with no precedent.
• Preferred: PLG or AI-native company experience with cross-functional enablement programs.

Responsibilities

• Own the technical knowledge hub for GTM: demo library, reference architectures, and AI use-case patterns.
• Raise the technical floor for AEs and CSMs through scalable enablement.
• Leverage the SA team as a knowledge multiplier and systematize insights for the broader field.
• Co‑own SA ramp and ongoing development with Head of SA and senior SA team.
• Ensure AE/CSM readiness and strong technical narrative across funnel.
• Tackle projects like auditing knowledge assets and building a first AI use-case pattern library.

Skills

Technical GTM experience

Cross-functional leadership

Knowledge systems design

AI use‑case fluency

Enablement program design

Tools

Demo libraries

Reference architectures

Competitive positioning

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.