Triple Whale
Triple Whale centralizes and simplifies all the metrics used by Shopify sellers, enabling them to save more time and make more money. We help e-commerce businesses accurately track and forecast various metrics, including changes in profits and operational metrics. Our goal is to infuse AI into e-commerce, empowering shops to have an accurate picture of their business and make optimal choices that boost their bottom line.
Launched in mid-2021, Triple Whale already has over 11,000 clients, top-tier investors, and growing hubs in Ohio, North Carolina, and Israel (Jerusalem).
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Marketing Scientist
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What Do We Do?
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.
What You're Applying for
What You’re Applying For
As a Marketing Science Analyst on Triple Whale's Marketing Science team, you'll be a key operator within the Compass and Unified Measurement experience. This is a hands-on individual contributor role—you’ll dive deep into the data, build and execute analyses, and help translate measurement outputs into decisions that brands can act on.
This role exists because brands at scale ($50M–$500M+ revenue, complex omnichannel operations) don’t just need data—they need support turning measurement into decisions that hold up in the real world.
Reporting into our Marketing Science Lead, you’ll partner closely with a Marketing Data Scientist, who owns model configuration and statistical rigor for MMM and incrementality testing. Your focus will be supporting operator translation, analysis execution, and helping shape the measurement roadmap for each customer.
You’ll help deliver measurement strategy for a portfolio of Compass brands, from test design and MMM interpretation to attribution analysis and ongoing recommendations. You may also support select prospect conversations as a technical and analytical resource.
Sitting within Marketing Science, you’ll work cross-functionally with Product, Data Science, and CSM—helping bridge the gap between customer complexity and Triple Whale’s solutions.
What You’ll Do
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?
What You’ll Bring
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
Our Values
- 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.
Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Join Us in Making Waves
If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.
Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official.
#LI-Remote
Ready to apply?
Apply to Triple Whale
Marketing Science Lead
Share this job
What Do We Do?
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.
What You're Applying for
As a Marketing Science Lead on Triple Whale's Marketing Science team, you'll be the operator voice inside the Compass and Unified Measurement experience. This is a hands-on leadership role - you’ll dive deep into the data, build and execute analyses, and lead, mentor, and develop a small team of Marketing Science Analysts.
This role exists because brands at scale ($50M–$500M+ revenue, complex omnichannel operations) don’t just need data—they need someone who can translate measurement into decisions that hold up in the real world.
You’ll partner closely with a Marketing Data Scientist, who owns model configuration and statistical rigor for MMM and incrementality testing. Your focus is operator translation, strategic advisory, and shaping the measurement roadmap—setting the standard for execution while staying close to the work.
You’ll own measurement strategy for a portfolio of Compass brands, from kickoff through test design, MMM interpretation, attribution analysis, and roadmap development. You’ll also support sales as an operator voice for high-value prospects.
Sitting within Marketing Science, you’ll work cross-functionally with Product, Data Science, and CSM—acting as the bridge between customer complexity and Triple Whale’s solutions, while helping scale the team delivering this experience.
What You’ll Do
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?
What You’ll Bring
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
Our Values
- 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.
Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Join Us in Making Waves
If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.
Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official.
#LI-Remote
Ready to apply?
Apply to Triple Whale