Dreamdata

About Dreamdata Dreamdata is the industry leader in B2B marketing attribution and activation. We're on a mission to help B2B marketing leaders finally connect their efforts directly to real revenue - solving a complex problem that has plagued the industry for years. Founded in 2018 by ex-Trustpilot (TRST:LSE) product and engineering leaders, Dreamdata was born from a real-world need, building the platform they always wished they'd had. It's working. We have achieved strong product-market fit and are experiencing explosive, triple-digit YoY growth. This momentum is now backed by a recent $55,000,000 Series B funding round set to fuel our rocketship as we scale globally. We are expanding rapidly and looking for exceptional, top-tier talent to help us build the future of B2B marketing. The Opportunity As an SDR at Dreamdata, you will connect with businesses that can benefit from our platform but have not yet discovered it. You will work closely with our sales and marketing teams to engage prospects, create interest, and build a healthy pipeline of qualified opportunities. The SDR role is evolving, and you will be empowered by cutting-edge technology designed to amplify your workflows and impact. Our dedicated Go-to-Market Engineering team is at the forefront of implementing the newest innovations, including GenAI and AI Agents, to streamline processes, enhance outreach effectiveness, and provide you with intelligent tools to excel in your role. This role is an excellent opportunity for someone eager to grow a career in sales. We are committed to your development, with a structured path to becoming an Account Executive within 18–24 months. You will be part of our hybrid Copenhagen office, working alongside a collaborative and supportive team. Key Responsibilities Build relationships with potential customers through multiple channels: LinkedIn, email, phone, and community engagement. Become an expert in marketing analytics, the B2B customer journey, and the Dreamdata platform. Collaborate with marketing and sales leadership to develop, test, and refine messaging and outreach strategies. Support the marketing team in demand generation and outbound initiatives. Consistently deliver high-quality, sales-qualified opportunities to our Account Executives. Be at the forefront of an emerging, data-driven go-to-market function for B2B companies. Requirements Strong communicator, both written and verbal. Organized and confident managing time, priorities, and a high volume of activity. Motivated by growth opportunities and excited to work in a fast-moving startup environment. Adaptable, curious, and eager to learn new tools, markets, and approaches. Tenacious and proactive in building relationships and following up with prospects. Build relationships with potential customers through multiple channels: LinkedIn, email, phone, and community engagement. Benefits Location: Our office is located in the heart of Copenhagen with a harbor view Ownership: Equity in a growing company. Lunch: Delicious lunch available in our canteen Inclusive Culture: Be part of a supportive and dynamic team making an impact in the B2B marketing space Private insurance: Private health insurance that comes with our pension plan Office dogs At Dreamdata, you’ll have the opportunity to make a real impact. Join us in shaping the future of B2B marketing analytics and activation while developing your skills and growing your career. We are committed to creating an inclusive, diverse workplace where everyone can thrive. If you’re passionate about building meaningful connections and helping businesses succeed, we’d love to hear from you.

About Dreamdata Dreamdata is the industry leader in B2B marketing attribution and activation. We’re on a mission to help B2B marketing leaders finally connect their efforts directly to real revenue — solving a complex problem that has plagued the industry for years. Founded in 2018 by ex-Trustpilot (TRST:LSE) product and engineering leaders, Dreamdata was born from a real-world need, building the platform they always wished they’d had. It’s working. We have achieved strong product-market fit and are experiencing explosive, triple-digit YoY growth . This momentum is now backed by a recent $55,000,000 Series B funding round set to fuel our rocketship as we scale globally. We are expanding rapidly and looking for exceptional, top-tier talent to help us build the future of B2B marketing. The Opportunity The Dreamdata Platform is used by leading B2B companies to do marketing attribution and activation. The product is something rare: a uniquely complete view of how B2B buying actually happens, across every channel a modern B2B buyer touches. That data is the raw material for the best benchmarks in the industry. Our LinkedIn Ads Benchmarks report has been downloaded thousands of times and routinely shows up in third-party newsletters, decks, and LLM answers when people ask how B2B marketing actually performs. We want Dreamdata to be the canonical, cited source of truth for what’s working in B2B marketing. We are hiring a Staff Insights Engineer to build the and scale data foundation that makes that possible. This is a deeply technical role: analytics engineering, data science, and warehouse ownership are the core of the job . The data foundation is the starting point. Before Dreamdata can publish anything the market will cite, someone has to model the underlying dataset, get the aggregation and anonymization right, ensure a methodology holds up to scrutiny, and build the tooling that allows us to publish quality answers to questions within hours. That is what you are here to do. If the data underneath a benchmark isn’t right, nothing built on top of it is worth publishing. You will not do this alone and you will not be doing it all. Our marketing team will run the editorial calendar, the narrative, and the brand. You own everything upstream of that , and you work in close partnership with them; they help you understand the questions the market cares about, and you make sure the answers are right, fast, and properly caveated. You own The self-service layer and the internal tooling marketing runs on The warehouse models, pipelines, and tests behind every published figure Aggregation, anonymization, and minimum-cohort thresholds Statistical methodology, and the caveats that travel with each number Analytical correctness: the right sample, denominator, and scale Technical sign-off on published claims Marketing owns, you support Editorial calendar, publishing cadence, and channel mix Headlines, narrative, and visual polish Dreamdata’s social presence and brand voice Journalist, newsletter, and analyst relationships Report packaging, launches, and events Demand generation targets You will be measured on whether the data foundation is correct, fast, and trusted as well as how little the rest of the team has to wait for you. This role reports into our engineering organization, works day-to-day with the marketing team, and grows into more ownership over time. It is a rare combination: warehouse-deep technical work whose output an entire industry sees, rather than another internal dashboard. Key Responsibilities Your first six months: building the foundation Learn the Dreamdata data model end-to-end, embedded with our engineering team, and model the benchmark dataset on top of it. Improve the aggregation and anonymization layer. Stand up data transformations properly: version-controlled models, tests, CI, and documentation. Define the metric definitions and the semantic layer that marketing can query without you in the room. Set the methodology standard: sample sizes, confidence intervals, and how we handle and disclose selection bias, given that our data describes companies that buy Dreamdata rather than the whole market. Ongoing — run it at speed Turn an interesting question into a defensible answer quickly, and keep driving that cycle time down. Today marketing waits on engineering to run a query; your job is to remove that bottleneck permanently. Own the analysis behind quarterly benchmark reports and the recurring data marketing publishes. Act as technical reviewer to ensure we don't make claims the data does not support. Keep the self-serve layer good enough that marketing answers most of its own questions without you. Requirements Must have Production SQL, at depth. Window functions, incremental models, and query optimization at warehouse scale over large event and journey tables. You write and tune the query yourself rather than briefing someone else to write it, and you reason about cost as well as correctness. Data engineering ownership. You have worked on a warehouse project end-to-end. This includes dimensional or semantic modeling, a transformation framework such as Dataform or dbt with models, tests, docs and CI, orchestration, and the discipline that keeps it from rotting. We run BigQuery on Google Cloud. Real statistical grounding. Sampling, confidence intervals, significance, cohort and time-to-event analysis. You know when a difference is noise and you understand what selection bias does to a benchmark drawn from one vendor’s customer base. Aggregation and privacy discipline. Experience publishing or sharing findings derived from customer data, with anonymization and minimum-cohort rules you can defend to a security reviewer. This one is non-negotiable. Clear technical writing. You can write a methodology note that a marketer understands and an analyst cannot poke holes in, and state plainly what a number does and does not show. Analytically correct charts. You can produce a chart that is right — correct cut, correct denominator, honest axes — and hand it to marketing and design for polish. You do not need to be a designer, and you are not expected to write the copy that goes around it. Genuine curiosity about B2B go-to-market. You want to know what the data says about how B2B buying actually works. We can teach you the domain; we cannot teach you the interest. Autonomy, and fluency with AI tooling. You scope your own work with little guidance, and you use tools like Claude and Cursor to compress your cycle time rather than working around them. Nice to have BigQuery and Google Cloud specifically. dbt run at scale, or another transformation framework you have owned in production. Having been the analyst behind a public benchmark or data report. Python for analysis: pandas, notebooks, and visualization in matplotlib, Plotly, Vega or Tableau. B2B martech, RevOps, or adjacent: attribution, CDPs, ABM, growth analytics. A working point of view on B2B SaaS, GTM, and how buyers actually behave. Comfort being the technical voice in the room: a podcast segment on methodology, a conference talk, a call with an analyst. Welcome, never required. An interest in sharing your own work publicly, alongside what marketing publishes. Benefits Location: Our office is located in the heart of Copenhagen with a harbor view Ownership: Equity in a growing company Lunch: Delicious lunch available in our canteen Inclusive Culture: Be part of a supportive and dynamic team making an impact in the B2B marketing space Private insurance: Private health insurance that comes with our pension plan Office dogs At Dreamdata, you’ll have the opportunity to make a real impact. Join us in shaping the future of B2B marketing analytics and activation while developing your skills and growing your career. We are committed to creating an inclusive, diverse workplace where everyone can thrive. If you build data foundations you would stake your name on, and you want that work seen by an entire industry, we’d love to hear from you.

Dreamdata is the industry leader in B2B marketing attribution and activation. We're on a mission to help B2B marketing leaders finally connect their efforts directly to real revenue - solving a complex problem that has plagued the industry for years. Founded in 2018 by ex-Trustpilot (TRST:LSE) product and engineering leaders, Dreamdata was born from a real-world need, building the platform they always wished they'd had. It's working. We have achieved strong product-market fit and are experiencing explosive, triple-digit YoY growth. This momentum is now backed by a recent $55,000,000 Series B funding round set to fuel our rocketship as we scale globally. We are expanding rapidly and looking for exceptional, top-tier talent to help us build the future of B2B marketing. The Opportunity As a Senior Engineer at Dreamdata, you will own the systems that pull our customers' go-to-market data out of dozens of third-party platforms - Google Ads, HubSpot, Salesforce, LinkedIn, and many more - and turn it into the attribution and activation the Dreamdata Platform is known for. This is a hard, high-leverage engineering problem: every API is different, every customer's setup is different, and the quality of what our customers see depends entirely on how well these systems hold up. You will own outcomes. That means you decide how a problem gets solved, you talk to the customers who are affected by it, and you go back and improve the system when it isn't good enough. Nobody will hand you a specification and nobody will approve your design decisions for you. If you are not comfortable making calls on your own and living with the consequences, this is not the right role for you. We also expect you to build with agents. Dreamdata engineers use coding agents daily to write, refactor, test, and operate our systems, and increasingly to run the integrations themselves: detecting schema drift, triaging failed syncs, and proposing fixes. We want someone who is genuinely curious about how far this goes and who will push our tooling forward rather than wait for someone else to. This is a hybrid role, in office at our Central Copenhagen Office located at Kalvebod Brygge. We require a minimum of 3 days each week in office. No exceptions for a full-time remote environment. Key Responsibilities: Own our B2B integrations end to end - design, build, run, and improve the pipelines that ingest data from third-party ad, CRM, and marketing automation platforms at scale. Take decisions independently on architecture, tooling, and trade-offs, and be accountable for how they play out in production. Measure your work by customer outcomes: correct data, trustworthy attribution, and problems that stay fixed. Engage directly with customers and with our Customer Success and Product teams to understand what is actually breaking and why. Build and extend the agentic tooling we use to develop and operate our systems - agents that write code, monitor integrations, diagnose failures, and reduce the manual work of keeping hundreds of connections healthy. Improve systems you did not build. When you find something fragile, slow, or confusing, fixing it is part of the job, not a separate project. Work across Go, SQL, and Google Cloud Platform, feeding our analytics engine with technologies such as Apache Beam, Cloud Run, Kubernetes, Temporal, Pub/Sub, and BigQuery. Requirements You are a skilled backend engineer, ideally with Go experience, or with a strong track record building complex data pipelines in another language. You have integrated with many third-party systems and know your way around REST APIs as both a consumer and a constructor - including the messy parts: rate limits, pagination, partial failures, breaking changes, and inconsistent data. You are strong in SQL. Experience with BigQuery, Snowflake, or Redshift is a significant advantage. You take ownership by default. You are comfortable deciding without consensus, shipping without permission, and being answerable for the result. You care about customer outcomes more than about output. You want to know whether what you built actually worked for the people using it. You use coding agents as part of how you work, and you are curious about applying them to build and maintain production systems more efficiently. You are curious about the B2B go-to-market world - how marketing and sales teams actually operate, and why connecting their data to revenue is so hard. You are pragmatic. You make complicated things simple, iterate in sensible steps, and use the tools that make sense rather than the tools that are interesting. Experience with Kubernetes is a big plus. You enjoy learning new technologies as we use the latest and greatest ones. Take a look at our https://stackshare.io/dreamdata/dreamdata profile for the complete list. Benefits Location: Our office is located in the heart of Copenhagen with a harbor view Ownership: Equity in a growing company. Lunch: Delicious lunch available in our canteen Inclusive Culture: Be part of a supportive and dynamic team making an impact in the B2B marketing space Private insurance: Private health insurance that comes with our pension plan Office dogs At Dreamdata, you’ll have the opportunity to make a real impact. Join us in shaping the future of B2B marketing analytics and activation while developing your skills and growing your career. We are committed to creating an inclusive, diverse workplace where everyone can thrive. If you’re passionate about building meaningful connections and helping businesses succeed, we’d love to hear from you.