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Mutt Data

Delivers ML solutions for business outcomes

Head of Marketing

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeRemote in Argentina

About the Job

Requirements

  • At least 5 years of B2B marketing experience, including 3–5 years leading a marketing function and a senior team.
  • A track record in B2B technology, IT services, consulting, or SaaS, involving complex solutions and long sales cycles.
  • Demonstrated ownership of a marketing budget and pipeline targets, with measurable results.
  • Experience defining lead and attribution models and Marketing–Sales processes using HubSpot and funnel dashboards.
  • Experience with account-based marketing and building a brand in a new market, including defending brand investment to leadership.
  • Strong positioning and storytelling skills, including translating technical expertise in data, machine learning, and artificial intelligence into a point of view for executive buyers.
  • Practical use of artificial intelligence in marketing workflows and the ability to lead a team through that change.
  • Fluency in written and spoken English.

Responsibilities

  • Define Marketing’s strategy and annual plan in alignment with commercial targets by geography.
  • Sharpen the company’s positioning in data and artificial intelligence services with differentiated messaging for the US, Mexico, and Latin America.
  • Contribute to leadership decisions on priority verticals and US go-to-market strategy, and translate those decisions into Marketing plans.
  • Own Marketing’s contribution to pipeline rather than marketing-qualified lead volume.
  • Create a strategy that drives organic leads with clear intent.
  • Define lead and attribution standards with Sales and ensure both teams adopt them.
  • Allocate the budget across brand, demand generation, and account growth by market, and review the allocation quarterly based on results.
  • Build brand awareness in a market where the company is not yet well known through executive thought leadership, point-of-view content, case studies with measurable results, and events.
  • Lead a content engine that ranks in search, generative engine optimization, and large language models, while maintaining brand consistency across company publications.
  • Lead and develop a senior team of specialists, each owning a domain with clear key performance indicators, and build an impact-based career path with People.
  • Run Marketing with a clear cadence of goals, reviews, and dashboards, and represent Marketing to the CEO, chief revenue officers, and peer teams.
  • Integrate artificial intelligence into team workflows, with human validation of every output.

Desired Qualifications

  • Experience marketing to US enterprise buyers from a Latin America-based company.
  • Experience marketing data, artificial intelligence, or cloud services, ideally at a technology consultancy.
  • Experience with partner co-marketing programs, such as AWS, Databricks, or Google Cloud.
  • Experience with search engine optimization, generative engine optimization, and content strategy for large language model visibility.

About the Company

Mutt Data

Delivers ML solutions for business outcomes

Mutt Data helps startups and large enterprises build and implement machine learning solutions that deliver real business results. They work across finance, insurance, advertising, telecoms, on-demand services, and e-commerce to help clients get ahead using the latest methods and best practices. How it works: They provide end-to-end ML services, starting with understanding business goals, data assessment, data engineering, model development, deployment, and ongoing monitoring and optimization. They tailor tools and techniques to each industry to put models into production and track their impact. Differences: They serve both startups and big companies and offer a complete workflow from idea to production, across many industries, with a focus on practical business outcomes rather than research-only efforts. Goal: Help customers gain a competitive edge by turning data into deployable ML solutions that improve efficiency, revenue, and user experience.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Capital, Argentina
Founded
2017

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