#13 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.

We are looking for a proactive, data-driven, and business-oriented Data & Martech Specialist to join our team and support one of our banking clients 🐶🚀

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. 

🚀 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