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Muttdata

Martech Specialist

MuttdataΒ·3 days ago

⏰ Full-timeπŸ“ˆ Mid LevelπŸ‡¦πŸ‡· Buenos Aires, ArgentinaπŸ“… Oct 15, 2026

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€


At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

We are looking for a proactive, data-driven, and business-oriented Martech SpecialistΒ to join our team πŸΆπŸš€

This is a technical consulting role, not a platform admin role: you will own the MarTech side of the architecture and make sure the data foundation and the activation layer work as one system.Β 

πŸš€ What We Do

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks

🌟 Our Values

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  • πŸ” Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! πŸš€

Responsibilities πŸ€“

  • Design the stack: help clients choose between packaged CDPs, composable CDPs and a lakehouse-native approach, and explain the trade-offs in plain terms: cost, time to value, identity, governance and lock-in.
  • Build it: configure and integrate CDPs (Adobe Real-Time CDP, Salesforce Data Cloud), composable tools (Hightouch, Census, Amperity) and activation platforms (Braze, Salesforce Marketing Cloud, Iterable).
  • Set up identity resolution, audiences, consent, event tracking and reverse ETL.
  • Connect it to the data foundation: work with our data engineers and ML experts to model customer data in Databricks or other cloud platforms, feed it to activation tools, and close the loop with campaign results.
  • Run it at scale: define how these platforms operate in production, including data quality, monitoring, cost control, governance and the team workflows around them.
  • Bring AI into activation: put our propensity, LTV, churn and next-best-action models to work inside real journeys and campaigns.
  • Shape what we sell: join discovery calls, scope projects, write proposals, and help us turn repeat work into reusable accelerators and offerings.

Required Skills πŸ’»

  • 5+ years in MarTech or customer data, in a consultancy, agency, vendor professional services team, or an in-house marketing technology role.
  • Hands-on depth in at least one tool from each layer: a packaged CDP (Adobe Real-Time CDP, Salesforce Data Cloud, Segment, Tealium), a composable CDP or reverse ETL tool (Hightouch, Census, Amperity), and an activation platform (Braze, Salesforce Marketing Cloud, Iterable, Klaviyo).
  • A real point of view on the landscape: you can tell a client when a packaged CDP is the right call and when it isn't, and back it up with projects you have delivered.
  • Solid data fundamentals: you write SQL, understand data modeling, identity resolution, event schemas and APIs, and you are comfortable working in a lakehouse or cloud data warehouse.
  • Production experience: you have run these platforms at scale, with millions of profiles, many channels, and real consent and privacy requirements (GDPR, CCPA, local LATAM laws).
  • Client presence: you explain technical trade-offs to a CMO and a CTO in the same meeting.
  • Professional English, written and spoken. Most of our work is documented in writing and many clients are in the US.

Nice to have πŸ’»

  • Hands-on work with Databricks, especially as the customer data foundation behind activation tools.
  • Certifications in Adobe Experience Platform, Salesforce Data Cloud or Marketing Cloud, Braze, or Hightouch.
  • Experience with paid media data: audience syncs to Google and Meta, conversion APIs, clean rooms, retail media.
  • Exposure to measurement: attribution, marketing mix models, incrementality tests.
  • Experience in retail, e-commerce or financial services.

🎁 Perks

  • 🌍 Remote-first culture – work from anywhere!
  • πŸš€Β In-Company English Lessons.
  • πŸ’ͺ Wellhub or sports club stipend to stay active
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare ReimbursementΒ  – Because supporting families matters too

Market context

Measured from remote postings we have tracked ourselves β€” not self-reported survey data.

What Mid Level Data Science roles in Americas pay

25th
$78k
Median
$107k
75th
$150k

Based on 4,038 comparable postings with disclosed salaries, last 12 months.

How Muttdata is hiring

Last 90 days
39 roles
Total tracked
82
Hiring across
6 job families

Tracked since March 2023.

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