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 Martech Specialist to join our team 🐶🚀

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 (https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into ourblog post (https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

- 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 💻

- 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 💻

- 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 cultur e – 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