Solutions Engineer – Marketing Technology

What We’re Working On

We help some of the world’s most forward-thinking brands architect and activate marketing technology that drives measurable growth. From real-time behavioral tracking to multi-channel campaign automation, we combine deep technical expertise with customer-centric strategy to deliver meaningful, data-driven experiences.

What You’ll Do

• As a Solutions Engineer, you’ll help bring martech stacks to life—integrating tools, solving technical challenges, and unlocking insights across the entire customer journey.
• Deploy and support tag managers, analytics platforms, CDPs, and marketing automation tools
• Integrate marketing data across web, mobile, email, and paid media for end-to-end journey insights
• Collaborate across teams to design scalable, forward-thinking solutions
• Work with APIs, SDKs, and CRMs to unify and activate customer data
• Rapidly prototype data workflows and test new use cases
• QA and troubleshoot using tools like Charles Proxy and Wireshark
• Support segmentation, targeting, and A/B testing in tools like Braze, Iterable, and Klaviyo
• Translate journey data into insight-driven storytelling for stakeholders
• Automate repetitive tasks and improve operational efficiency
• Partner with data scientists and media teams to drive performance

What We’re Looking For

• You’re a self-motivated problem solver with a passion for marketing tech, data, and impact. You thrive in fast-moving, collaborative environments and love turning complexity into clarity.
• Hands-on experience with CDPs such as Segment, Tealium, mParticle, RudderStack, and Salesforce CDP
• Strong JavaScript skills, especially in martech contexts
• Proficient with APIs, webhooks, and SDK integrations
• Experience configuring and troubleshooting analytics tools (Google Analytics 4, Adobe Analytics, Heap, Mixpanel, Piwik PRO, etc.
• Skilled in validating cross-device tracking and managing consent-aware implementations
• Deep knowledge of Google Ads, Meta Ads (Facebook/Instagram), Pinterest Ads, LinkedIn Ads, TikTok Ads, and Amazon Ads
• Experience with conversion tracking, custom events, audience syncing, and UTM strategies
• Familiarity with attribution models, campaign structures, and performance metrics across platforms
• Experience with SQL and large datasets
• Familiar with GCP, AWS, or other cloud ecosystems
• Knowledge of Python, Java, or similar languages
• Comfortable with platforms like Storyblok, Braze, Pardot, Iterable, and Oracle Marketing Cloud
• Skilled in journey analysis, storytelling, and dashboarding
• Strong communicator with client-facing experience
• Confident in advanced QA tools and debugging workflows

Ongoing recruitment – no set deadline.