{"id":3027751,"url":"https://alion.io/job/mutt-data-data-martech-specialist","title":"Data & Martech Specialist","company":{"id":19043,"name":"Mutt Data","domain":"muttdata.ai","url":"https://alion.io/company/mutt-data","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":13,"ghost_share":0,"stale_share":0.846,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":103000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"Machine Learning","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-15T20:26:14Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-22T21:05:40Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Join Our Remote Data Products & Machine Learning Startup!\nAt 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.\nWe are looking for a proactive, data-driven, and business-orientedData & Martech Specialist to join our team and support one of our banking clients\nThis 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.\nWhat We Do\nLeveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.\nDeveloping scalable data infrastructures, we enhance high-level decision-making, tailored to each client.\nOffering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.\nUsing Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.\nBuilding deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.\nDeveloping recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.\nOur Partnerships\nAmazon Web Services\nAstronomer\nDatabricks\nOur Values\n We are Data Nerds\n We are Open Team Players\n We Take Ownership\n We Have a Positive Mindset\nCurious 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!\nResponsibilities\nDesign 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.\nBuild 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).\nSet up identity resolution, audiences, consent, event tracking and reverse ETL.\nConnect 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.\nRun it at scale: define how these platforms operate in production, including data quality, monitoring, cost control, governance and the team workflows around them.\nBring AI into activation: put our propensity, LTV, churn and next-best-action models to work inside real journeys and campaigns.\nShape what we sell: join discovery calls, scope projects, write proposals, and help us turn repeat work into reusable accelerators and offerings.\nRequired Skills\n5+ years in MarTech or customer data, in a consultancy, agency, vendor professional services team, or an in-house marketing technology role.\nHands-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).\nA 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.\nSolid 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.\nProduction 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).\nClient presence: you explain technical trade-offs to a CMO and a CTO in the same meeting.\nProfessional English, written and spoken. Most of our work is documented in writing and many clients are in the US.\nNice to have\nHands-on work with Databricks, especially as the customer data foundation behind activation tools.\nCertifications in Adobe Experience Platform, Salesforce Data Cloud or Marketing Cloud, Braze, or Hightouch.\nExperience with paid media data: audience syncs to Google and Meta, conversion APIs, clean rooms, retail media.\nExposure to measurement: attribution, marketing mix models, incrementality tests.\nExperience in retail, e-commerce or financial services.\nPerks\nRemote-first cultur e - work from anywhere!\n In-Company English Lessons.\nWellhub or sports club stipend to stay active\nAWS, DBT, Google Cloud, Azure & Databricks certifications fully covered\nFood credits via Pedidos Ya - because great work deserves great food.\n Birthday off + an extra vacation week (Mutt Week! )\nReferral bonuses - help us grow the team & get rewarded!\nAnnual Mutters' Trip - an unforgettable getaway with the team!\n Monthly Childcare Reimbursement - Because supporting families matters too","description_format":"text","description_chars":5046,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-21T19:33:28Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":6,"expected_fill_days":33,"reasons":["conf:2","stale_co","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/mutt-data-data-martech-specialist","json_url":"https://alion.io/job/mutt-data-data-martech-specialist.json","meta":{"generated_at":"2026-10-22T21:49:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6570,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":19043},"rest":"https://alion.io/mcp/rest/get_company?id=19043"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmutt-data-data-martech-specialist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmutt-data-data-martech-specialist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmutt-data-data-martech-specialist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mutt-data-data-martech-specialist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmutt-data-data-martech-specialist"}]}