Marketing Science Partner

Triple Whale is the complete intelligence platform that helps ecommerce brands confidently understand what's working in their business, what's not, and what they should do next.

We pull all your data into one place, give you the measurement tools to actually trust it, then use the smartest AI in the industry to translate it into insights and recommendations. From there, you get tools to put those insights to work — from AI agents that generate creative and take action on your behalf, to automations that make the rest of your tech stack smarter and more effective.

More than 60,000 brands like Pressed Juicery, Ouai and True Classic trust Triple Whale to grow faster with fewer resources — uncovering opportunities and acting on them at a scale that would be impossible manually.

As a Marketing Science Partner on Triple Whale's Marketing Science team, you'll be the operator voice inside the Compass and Unified Measurement customer experience. This role exists because brands at scale ($50M to $500M+ in revenue, running complex omnichannel operations) don't just need data. They need someone who has been in their seat and knows how to translate measurement outputs into decisions that can actually survive contact with a real organization.

You'll work as part of a two-person service duo alongside a Marketing Data Scientist, who owns model configuration and statistical rigor for MMM and incrementality tests. Your lane is the other half: operator translation, strategic advisory, and the measurement roadmap that ties it all together for the customer. Together, you cover the full conversation from model to decision.

You'll own the measurement strategy conversation for a portfolio of Compass brands: from kickoff through incrementality test design, MMM interpretation, attribution gap analysis, and the sequenced roadmap that follows. You'll also be a named resource for sales when a high-value prospect needs operator credibility in the room, not a product pitch, but someone who genuinely understands what they're dealing with.
The role sits on the Marketing Science team and works closely with Product, Data Science, and CSM. You're the connective tissue between the complexity brands live in and the tools Triple Whale builds to address it.

Lead measurement strategy for Compass brands

• Own the full measurement conversation arc, from kickoff and test design through results interpretation and what-comes-next recommendations, for a portfolio of 8–9 figure brands
• Translate MMM, incrementality, and attribution model outputs into operator-native decisions: not "here's what the model says," but "here's what it means for your channel mix and your next budget call"
• Sequence tests intelligently across channels based on the brand's spend levels, organizational capacity, and the questions that actually matter to their business right now
• Interpret results for non-technical stakeholders: explain what a null result means, what 80% confidence does and doesn't authorize, and how an Amazon halo effect finding changes cross-channel thinking
• Help brands build a measurement roadmap over time, not just run one-off tests

Be the channel expert in the room

• Bring working knowledge of the channels these brands actually run, including Meta, Google, TikTok, YouTube, retail media, and AppLovin, with a clear understanding of what each platform reports, what it doesn't, and where platform-reported performance diverges from business reality
• Help brands with offline complexity (wholesale, retail, Amazon) think through measurement in contexts where digital-only frameworks don't cleanly apply
• Reframe the questions brands bring: not "is my Meta ROAS good?" but "are these campaigns driving incremental new customers, or harvesting the brand awareness I've already built?"
• Apply cross-brand pattern intelligence, without violating confidentiality, to contextualize what individual brands are seeing in their data

Support sales as a subject matter expert

• Join high-value prospect conversations as the operator credibility voice, not to pitch product, but to make a $200M omnichannel brand feel genuinely understood before a deal decision gets made
• Ask the questions that open the conversation: the ones that show you understand what it actually feels like to run marketing at their scale, even before Triple Whale is fully on the table
• Translate Triple Whale's capabilities into their operational reality, not into feature descriptions

Feed the product from the outside in

• Distinguish between product gaps and operator context gaps: not everything that confuses a brand is a product problem, and knowing the difference is what makes your feedback actually useful
• Name patterns when multiple brands at similar scale hit the same friction point, and bring them to the product team with enough context to inform prioritization
• Bring the organizational reality that product can't get from the inside: what does it feel like to act on an MMM recommendation when there are 14 stakeholders with opinions on the campaign structure?

Real operator experience at scale You've been accountable for marketing performance, not as an agency buyer or advisor, but as someone with skin in the game at a brand doing meaningful revenue. You've made budget calls with imperfect data, defended channel spend to a CFO, and felt the organizational complexity that makes good measurement advice hard to act on.

Measurement literacy You understand the difference between last-click, MTA, MMM, and incrementality testing, and which one answers which question. You can explain test confidence, null results, and attribution gaps in plain language. You don't need to build the models; you need to make them mean something to an operator who has to act on them.

Paid media and channel expertise 5+ years running or closely overseeing paid media across Meta, Google, TikTok, or similar platforms at meaningful scale. You understand platform mechanics, attribution windows, and reporting gaps, and you have formed, articulable opinions about how each platform works and what it systematically gets wrong.

Omnichannel fluency You understand what it means to run marketing across DTC, Amazon, wholesale, and retail simultaneously, and why the attribution problems that creates are genuinely hard. You don't assume digital-only measurement frameworks apply cleanly to brands with offline complexity.

Executive-level communication You can run a high-stakes call with a CFO, CMO, and media buyer all in the room, adjusting depth and framing for each without losing any of them. You can deliver hard news (a null result, a recommendation that contradicts their instincts) without losing the relationship.

Strong differentiators

• Direct experience at or with a brand doing $50M–$500M+ in revenue, especially with retail, wholesale, or Amazon complexity on top of DTC
• Hands-on familiarity with Triple Whale, Northbeam, Rockerbox, or similar multi-platform attribution tools, with genuine opinions about their tradeoffs
• Experience evaluating or acting on incrementality test results (GeoLift, holdout, synthetic control) in a context where the findings informed a real budget decision
• Comfort operating where the playbook is being built alongside the delivery

• We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
• We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage. 
• We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together. 
• We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
• We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.