Model ML
Revenue Operations
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About Model ML
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors.
About The Role
Model ML is hiring a Revenue Operations Lead focused on GTM enablement to own how the field learns, sells, and stays sharp. This is a newly created, high-visibility role. The commercial team is growing quickly, product ships constantly, and the competitive landscape moves every week. Your job is to turn the current ad-hoc enablement efforts into a scalable system.
You will own everything between "we hired someone" and "they are closing deals the way our best rep does": onboarding, certification, playbooks, sales assets, launch readiness, and the adoption of the tools and AI workflows we build for reps. You will sit close to sales leadership, product, and marketing, and you will know the deals as well as the people running them.
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Responsibilities
- Ramp new GTM hires fast. Own onboarding end to end: product training, pitch training, and a single sales methodology.
- Keep the sales toolkit current. Own the library of battlecards, pitch narratives, demo scripts, objection handling, and one-pagers.
- Build playbooks for every deal stage (Discovery, demo, pricing, procurement).
- Certify every hire before they go customer-facing and maintain standards through call reviews and coaching plans.
- Own launch readiness. Ensure the field is trained, equipped, and aligned before announcements.
- Drive adoption of new tools and processes across GTM, including AI tooling, prompts, and workflows.
- Run win/loss reviews and synthesize patterns for product and sales leadership.
- Jump in on big live deals to provide custom positioning or competitive responses.
- Supply sales-facing assets like decks, case studies, and ROI calculators.
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Requirements
- 5+ years in sales enablement, revenue operations, product marketing, or a quota-carrying sales role with a track record of building enablement systems, ideally in B2B SaaS.
- Domain fluency: able to get up to speed quickly on enterprise AI and financial services workflows.
- Content craft: ability to produce sharp, high-signal materials.
- Coaching instinct: ability to analyze calls and create actionable coaching plans.
- AI-native: experience using AI tools and building prompts, workflows, or assistants for sales teams.
- A go-getting, solution-oriented mindset with comfort in ambiguity and high autonomy.
- Clear communication skills to distill complex input into simple materials.
- Bonus: prior exposure to financial services, market intelligence, or selling into investment banks and private equity.
Benefits
Model ML offers a competitive package including base salary, performance-based bonus, and participation in the company's equity scheme, along with access to company benefits.
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