{"id":3749398,"url":"https://alion.io/job/upcloud-marketing-engineer","title":"Marketing Engineer","company":{"id":56740,"name":"UpCloud","domain":"upcloud.com","url":"https://alion.io/company/upcloud","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Helsinki, Finland"],"countries":["FI"],"hiring_countries":["FI"],"hiring_countries_total":1,"salary":{"min":4000,"max":5000,"currency":"EUR","period":"month","gross":null,"usd_annual":67188},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"ChatGPT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"WordPress","optional":false},{"name":"PHP","optional":true}],"status":"live","first_seen_at":"2026-11-04T09:24:41Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T11:52:05Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Build the technology, intelligence, and automation behind UpCloud’s growth.\nUpCloud is building the future of European cloud. We’re looking for a Marketing Engineer to help us build an equally ambitious Marketing function: one where trustworthy data informs decisions, predictive models uncover opportunities, and connected systems automate execution.\nYou’ll combine software engineering, data engineering, and data science to help every marketing function perform better. You’ll own our marketing technology stack, connect our platforms, build dashboards and analytical models, and turn complex data into clear recommendations.\nThis is a senior, hands-on role within Marketing, reporting to the CMO. You’ll work directly with marketing specialists to understand their challenges and build the tools, insights, and automation they need, collaborating closely with Data, Product, Engineering, Sales, and Finance.\nYour mission: engineer a Marketing function that understands what happened, anticipates what comes next, and knows which actions to take.\nWhat you’ll own\nOur marketing technology stack. Own the technical operation and evolution of the platforms Marketing depends on, including configuration, integrations, maintenance, reliability, and costs. Evaluate new tools and make informed build-versus-buy decisions across SaaS and self-hosted open-source solutions.\n\nMarketing data pipelines and models. Build and maintain pipelines that bring advertising, website, CRM, social media, product usage, and commercial data together in BigQuery. Develop reusable data models, consistent identifiers, and shared metric definitions. Make data quality, freshness, and traceability part of everyday operations.\n\nA deep understanding of customer behavior. Learn how users interact with UpCloud’s control panel and products, including the events and behavioral data available through self-hosted Matomo. Work with Product and Engineering to understand underlying event definitions and improve instrumentation. Connect these signals with acquisition, campaign, CRM, and social data to reveal what drives activation, conversion, adoption, and customer value.\n\nBI dashboards and self-service analytics. Design, build, and maintain dashboards in Google Data Studio / Looker Studio. Work directly with internal Marketing stakeholders to translate their questions into useful reporting, analytical datasets, and decision tools. Give each function a dependable view of its performance and the ability to investigate further.\n\nHands-on marketing data science. Personally analyze campaigns, channels, audiences, customer journeys, and experiments. Apply statistics and data science to questions such as which campaigns generate valuable customers, where conversion breaks down, which audiences respond, and where investment could produce better results. Support paid media, lifecycle marketing, SEO, content, events, partners, and brand with appropriate analysis and recommendations.\n\nThe progression from descriptive to predictive and prescriptive analytics. Build beyond dashboards and historical trends. Train and validate models using historical campaign, customer, product, and external data to forecast outcomes and identify emerging demand patterns. Develop prescriptive approaches that recommend next actions-such as budget allocation, audience priorities, lifecycle interventions, or the next experiment-using predictions, business constraints, and evidence from testing.\n\nMeasurement and experimentation. Maintain tracking, tagging, campaign taxonomies, and conversion measurement across our websites and control panel. Design experiments and develop approaches to attribution, incrementality, and marketing mix modeling where the data supports them. Validate findings, distinguish correlation from causation, and communicate assumptions and uncertainty clearly.\n\nNew tools, channels, APIs, and MCP integrations. Continuously evaluate and connect the tools Marketing wants to experiment with. Build integrations through APIs, webhooks, connectors, and Model Context Protocol (MCP), where supported. This may include emerging advertising channels such as ChatGPT Ads, social media platforms, and new research, content, or experimentation tools. Ensure each experiment can feed useful data back into our shared analytics environment.\n\nAgentic workflows and process automation. Build agents and workflows that execute recurring marketing processes end to end, from gathering data and preparing campaigns to monitoring, optimization, and reporting. Enable autonomous execution within agreed goals, permissions, and budgets, with evaluation, monitoring, and clear exception handling.\n\nEngineering quality and stakeholder delivery. Turn stakeholder needs into a prioritized roadmap tied to business outcomes. Apply version control, testing, dependable deployment practices, monitoring, and documentation. Train colleagues to use the systems you build, and continuously improve their usefulness, reliability, and adoption.\n\nThe environment you’ll work with\nOur environment combines SaaS and self-hosted platforms:\nData and business intelligence: BigQuery and Google Data Studio / Looker Studio.\n\nWeb, search, and product analytics: GA4, Google Tag Manager, Google Search Console, and self-hosted Matomo for control panel analytics.\n\nConsent management: iubenda.\n\nCRM and lifecycle automation: HubSpot.\n\nWebsite and SEO: WordPress and Semrush.\n\nFinancial planning and reporting: Abacum, in collaboration with Finance.\n\nAdvertising and social data: Sources including LinkedIn, X, Facebook, and other platforms used by Marketing.\n\nEmerging tools: New advertising channels, AI applications, experimentation platforms, and available APIs and MCP integrations.\n\nYou’ll help shape how these systems work together and what comes next. We value open-source technology and self-hosting where they offer meaningful advantages in control, flexibility, and total cost of ownership, balanced against delivery speed, reliability, and maintenance effort.\nWhat you’ll bring\nStrong software and data engineering skills. You write production-quality Python and SQL, work confidently with APIs and authentication, and build dependable integrations and pipelines. You’re comfortable using JavaScript for web tracking and integrations.\n\nPractical data science experience. You’ve used statistics, experimentation, and predictive modeling to answer business questions. You can prepare data, select appropriate methods, validate models, and explain their performance and limitations.\n\nExperience connecting complex datasets. You can bring together behavioral, campaign, CRM, and commercial data at appropriate user, account, campaign, or cohort levels. You know how to investigate missing data, duplicates, inconsistent definitions, and misleading joins.\n\nHands-on BI expertise. You’ve built dashboards and analytical tools in Google Data Studio / Looker Studio or a comparable platform. You understand how to make reporting useful for people who need to make decisions.\n\nA strong understanding of marketing and product analytics. You understand acquisition funnels, product-led growth, attribution, conversion, customer acquisition cost, and customer value. You can connect marketing activity with downstream behavior and commercial outcomes.\n\nThe ability to turn analysis into action. You work with stakeholders to clarify the decision behind a request, choose the right analytical approach, and deliver recommendations they can use. You’re comfortable explaining uncertainty and challenging conclusions the data does not support.\n\nExperience shipping automation. You’ve built workflows or internal tools that reduce recurring work, and can explain how you tested them, monitored their performance, and handled failures.\n\nIndependent ownership and clear communication. You can prioritize competing needs, take a problem from discovery through implementation, and explain technical choices to colleagues across disciplines.\n\nUseful additional experience\nMarketing mix modeling, causal inference, forecasting, optimization, or recommendation systems.\n\nBuilding and operating AI agents, LLM applications, or MCP integrations.\n\nOperating self-hosted open-source applications, including Linux, containers, and deployment automation.\n\nWorking in B2B SaaS, cloud infrastructure, developer-focused products, or product-led growth.\n\nYou don’t need experience with every platform in our stack. We’re interested in your ability to build, analyze, learn, and deliver measurable improvements.\nWhat success looks like\nMarketing stakeholders have reliable dashboards, clear answers, and recommendations they can act on. Campaign and product data connect into a coherent view of customer behavior. Predictive models demonstrate useful performance against real outcomes, and prescriptive recommendations are tested for business impact.\nRecurring work increasingly runs through dependable automation. Specialists can investigate performance and execute repeatable processes independently. Your impact shows up in faster decisions, reduced manual effort, stronger measurement, and better marketing results.\nWhy join UpCloud?\nYou’ll shape the technology and analytical capabilities of an entire Marketing function, with direct access to the CMO and close collaboration with technical and commercial teams.\nThis is an opportunity to build systems that influence how we understand customers, invest in growth, and operate every day.\nIf you enjoy connecting engineering and data science with business outcomes, we’d love to hear from you.\nThe pay range for this role is around 4000 - 5000 euros per month, depending on your seniority and location.\nWe review all applications and get back to all our candidates - that is, a human, not an AI. That is a promise.\nBenefits\nUp to six weeks of annual paid vacation\n\nFlexible and remote-friendly culture\n\nOccupational healthcare\n\nTravel insurance\n\nSports benefit\n\nCompany events and activities\n\nShare Appreciation Rights program\n\nUdemy E-learning platform and budget for trainings; unlimited business access\n\nAnnual company trip","description_format":"text","description_chars":10113,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Company events"],"hiring_locations":[{"name":"Finland","iso":"FI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Web Hosting & VPS"],"lifecycle":[{"event":"open","at":"2026-11-04T14:36:51Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":72,"reasons":["conf:4","win:early"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":67188,"is_top_pay":false},"html_url":"https://alion.io/job/upcloud-marketing-engineer","json_url":"https://alion.io/job/upcloud-marketing-engineer.json","meta":{"generated_at":"2026-11-06T15:28:05Z","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":28816,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":56740},"rest":"https://alion.io/mcp/rest/get_company?id=56740"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fupcloud-marketing-engineer"},{"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%2Fupcloud-marketing-engineer"},{"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%2Fupcloud-marketing-engineer"},{"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/upcloud-marketing-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fupcloud-marketing-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3749398}},{"tool":"search_jobs","arguments":{"company":"upcloud.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3749398},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}