π Join Our Remote Data Products & Machine Learning Startup! π
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 πΆπ
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.
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.
Amazon Web Services
Astronomer
Databricks
π We are Data Nerds
π€ We are Open Team Players
π We Take Ownership
π We Have a Positive Mindset
π Curious about what weβre up to? Check out
our case studies and dive into our
blog post to learn more about our culture and the exciting projects weβre working on! π
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.
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.
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.
π Remote-first culture β work from anywhere!
π In-Company English Lessons.
πͺ Wellhub or sports club stipend to stay active
π AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
π Food credits via Pedidos Ya β because great work deserves great food.
π Birthday off + an extra vacation week (Mutt Week! ποΈ)
π€ Referral bonuses β help us grow the team & get rewarded!
βοΈποΈ Annual Mutters' Trip β an unforgettable getaway with the team!
πΆ Monthly Childcare Reimbursement β Because supporting families matters too
