Data & Martech Specialist

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

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.

🚀 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

📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
 
🔍 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! 🚀

Responsibilities 🤓

Assess and diagnose: audit a client’s MarTech stack and how their marketing team actually uses it (data flows, tools, audiences, consent, campaign workflows, measurement), find where value is leaking and turn it into a prioritized roadmap.
 Design the target stack: help clients choose between packaged CDPs, composable approaches and lakehouse-native setups, and explain the trade-offs to marketing and IT in terms each cares about: time to value, cost, marketer autonomy, governance and lock-in.
 Translate between teams: turn marketing goals (acquisition, cross-sell, retention, media efficiency) into clear requirements for our data and AI engineers, then turn what they build into audiences, journeys and campaigns that marketers actually use.
 Scope the implementation: guide our engineers and partner platforms through identity resolution, audiences, consent, event tracking and activation, and make sure what gets built fits how campaigns are really run.
 Modernize how marketing teams work: redefine processes and ownership across marketing, data and IT, including who builds audiences, how campaigns are briefed, tested and measured, and how the stack is governed day to day.
Bring AI into activation: find where our propensity, LTV, churn and next-best-action models can move results, and get them into real journeys, paid media audiences and campaigns.
Shape what we sell: join discovery calls, run assessments, scope projects, write proposals, and help turn repeat work into reusable accelerators and offerings.

Required Skills 💻

 5+ years in MarTech, marketing operations, CRM or customer data, in a consultancy, agency, vendor or in-house role.
 Real marketing experience: you’ve worked with or inside performance, CRM or paid/owned media teams. You know how campaigns are planned, run and measured, and the KPIs those teams answer for.
 You’ve helped set up a MarTech stack: you’ve assessed an existing stack, proposed a target state and helped a team get there, including the people and process side, not just the tools.
 A working view of the landscape: you understand what packaged CDPs, composable/reverse ETL tools, activation platforms and ad platforms each do, where they overlap, and when each makes sense. You’ve worked hands-on with at least one of them.
Comfort with data concepts: customer data models, identity, events, consent, APIs. You don’t need to be an engineer, but you can hold a technical conversation with one and spot when a design won’t serve marketing.
Client presence: you can explain 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 💻

Experience in financial services (banks, fintech, insurance): regulated data, legacy stacks, consent at scale.
Hands-on work with platforms like Adobe Real-Time CDP, Salesforce Data Cloud or Marketing Cloud, Segment, Tealium, Hightouch, Census, Braze, Iterable or Klaviyo.
 Paid media data: audience syncs to Google and Meta, conversion APIs, clean rooms, retail media.
Measurement: attribution, marketing mix models, incrementality tests.
SQL, or experience with Databricks or a cloud data warehouse.
Relevant certifications.
Experience in retail or e-commerce.

🎁 Perks

🌍 Remote-first culture – work from anywhere!
🚀 In-Company English Lessons.
💪 Wellhub or sports club stipend to stay active
🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
🍕 Food credits via Pedidos Ya – because great work deserves great food.
🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
🤝 Referral bonuses – help us grow the team & get rewarded!
✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
👶 Monthly Childcare Reimbursement  – Because supporting families matters too