---
title: 'Marketing Scientist at Triple Whale'
canonical: 'https://feeny.ai/job/marketing-scientist-triple-whale-united-kingdom-sej2d0sskrfb'
type: 'job'
last_seen: '2026-09-10'
---

# Marketing Scientist at Triple Whale

- **Company:** Triple Whale
- **Location:** United Kingdom
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/triplewhale/jobs/5419406008

## Job description

What Do We Do?

Triple Whale is the AI operating system built for modern ecommmerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you — pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it bites.

We pull every signal in your business into one place, and put it on the most trusted measurement foundation in the industry. And on top of that, we give you the most actionable AI in commerce — Moby 2 — letting you tap any LLM you want, grounded in the full context of your business. Moby 2 doesn't just surface insights, it executes decisions for you, with automations that make the rest of your stack smarter.

The result: more than 65,000 brands like Pressed Juicery, OUAI, and True Classic turn mountains of complex data into actions that actually grow profit, at a speed and scale that is not humanly possible.

## What You're Applying for

As a Marketing Scientist on Triple Whale's Marketing Science team, you'll be a key operator within the unified measurement, Compass 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 co-owns model configuration and statistical rigour for MMM, incrementality testing. Your focus will be supporting operator translation, analysis execution, and helping shape the measurement roadmap for each customer.

You’ll help deliver the measurement strategies for a portfolio of Compass brands, from test design and MMM interpretation to attribution analysis and ongoing recommendations. You may also support select prospective client conversations as a Marketing Science 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

- Own the full measurement journey for a portfolio of 8–9 figure brands, from kickoff and test design through results interpretation and next-step recommendations
- Build and translate MMMs, incrementality tests, and attribution outputs into clear decisions around channel mix, budget allocation, and growth strategy
- Design and sequence measurement strategies based on each brand’s media mix, investment levels, business goals, and highest-priority questions
- Make complex measurement findings actionable for non-technical stakeholders, including confidence levels, null results, halo effects, and cross-channel implications
- Bring strong working knowledge across Meta, Google, TikTok, YouTube, CTV, OOH, Linear TV, Retail, AppLovin, and other key channels
- Help brands understand where platform-reported performance differs from true incremental business impact, including across complex omnichannel businesses with Wholesale, Retail, and Amazon
- Reframe channel-level questions into broader strategic decisions around incrementality, customer acquisition, and budget allocation
- Join high-value prospect conversations as a measurement subject matter expert, bringing operator credibility and translating Triple Whale’s capabilities into each brand’s operational reality
- Identify recurring customer challenges and translate them into actionable feedback for Product, distinguishing true product gaps from education or operator-context gaps
- Bring real-world customer context into product decisions, including the organisational complexity brands face when acting on measurement insights

## 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 organisational 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 understand how to triangulate all three measures to arrive at recommendations.
- 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.
- 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 before and attuned 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: Candour, 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 honour, 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

## About Triple Whale

## Company Overview
- **One-liner**: Triple Whale is an AI operating system for modern ecommerce that centralizes fragmented data, provides unified measurement, and activates insights to drive profitable growth.
- **Entity Type**: Private (Series B)
- **Headquarters**: Columbus, Ohio, USA (with hubs in New York, New York; Raleigh, North Carolina; and Jerusalem, Israel)
- **Founded**: 2021
- **Founders**: Maxx Blank, AJ Orbach, and Ivan Chernykh

## Core Business
- **Primary industry/industries**: Ecommerce analytics, marketing measurement, AI-powered business intelligence
- **Target customers**: B2B — ecommerce and retail brands ranging from SMB to Mid-Market to Enterprise (60,000+ brands, including Shopify merchants)
- **Mission or purpose statement**: Democratize advanced technologies so that everyone — not just large companies or the lucky few — has access to the intelligence needed to build a successful business.

## Products & Services
- **Triple Whale Data Platform**: An integrated data layer that connects marketing, sales, and operations channels in minutes without data mapping or a separate data warehouse. Processes 9B+ events per day and tracks $65B+ in annual revenue and $7B+ in annual ad spend.
- **Moby 2 (AI Teammate)**: An AI operator built specifically for ecommerce that sits on top of every model and signal, grounded in real-time business context and unified measurement. Can scale ads, optimize conversion rates, and take action.
- **Sonar (Activation Layer)**: A pixel-based tool that captures every signal across all channels and sends them back into advertising platforms to improve targeting and increase revenue.
- **Dashboards & Visualizations**: Purpose-built reports and visualizations for ecommerce, transforming raw data into clarity.
- **Multi-Touch Attribution**: Full-funnel attribution powered by the Triple Pixel across seven flexible models.
- **MMM & Incrementality**: Marketing mix modeling and incrementality testing for enterprise-grade measurement.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (raised $52.7M+ total funding)
- **Key Metric**: Total Funding — $27.7M raised in Series A (2023, following 1,400% YoY growth) and $25M raised in Series B (2024)
- **Notable Investors/Partners**: Backed by Shopify and other leading investors; 60+ integrations across ecommerce and retail; SOC 2 Type II, GDPR & CCPA compliant
- **Growth Signals**: Trusted by 60,000+ brands; 55% adoption rate (nearly 4x the nearest competitor); 9B+ events processed per day; $65B+ annual revenue tracked; 80+ countries supported; expanded from marketing measurement into a full intelligence platform with AI agents, enterprise tools, and data activation

## Competitive Advantages
- **Ecommerce-native AI**: Unlike generic AI tools, Moby 2 has complete business context and measurement validation, making it actionable for ecommerce operators.
- **Unified data platform**: Seamlessly connects every channel without data mapping or a separate data warehouse, reducing complexity.
- **Highest adoption rate**: 55% adoption across SMB, Mid-Market, and Enterprise — nearly 4x the nearest competitor.
- **End-to-end intelligence**: From measurement (attribution, MMM, incrementality) to activation (Sonar, Moby AI agents) in a single platform.
- **Enterprise-grade by default**: SOC 2 Type II, GDPR & CCPA compliant out of the box.

## Strategic Focus
- Continuing to expand AI capabilities (Moby 2, always-on AI agents)
- Deepening enterprise tools and professional services
- Growing internationally (hiring in APAC, EMEA)
- Moving beyond marketing measurement into a full operating system for ecommerce
- Democratizing Fortune 500-level intelligence for brands of all sizes

## Why Work Here
- **Remote-friendly culture**: "We are a remote-friendly company with offices located throughout the world." Employees can work from hubs in Columbus, New York, Raleigh, or Jerusalem, or fully remote.
- **Strong values**: Speed, Operate with Trust, Be a Mensch (act with honor, integrity, and empathy), Customer Obsessed, Candor, Curiosity.
- **Competitive compensation**: Competitive salary, benefits, equity, and a 3% 401K match.
- **Generous benefits**: Medical, dental, and vision coverage (generous employee-level coverage for dental and vision); family-focused parental and maternal leave; generous PTO, sick leave, and holidays off.
- **Growth trajectory**: Fast-growing company (1,400% YoY growth) with top-tier investors and a clear mission to democratize advanced technology.
- **Engineering culture**: Work with fun, hardworking, and nice people who are passionate about what they're doing; opportunity to swim in a "vast sea of opportunities" and build at scale.

## Sources
1. [triplewhale.com](https://www.triplewhale.com/)
2. [triplewhale.com/careers](https://www.triplewhale.com/careers)
3. [triplewhale.com/about](https://www.triplewhale.com/about)
4. [job-boards.greenhouse.io/triplewhale](https://job-boards.greenhouse.io/triplewhale)

## Other roles at Triple Whale

- [Marketing Scientist](https://feeny.ai/job/marketing-scientist-triple-whale-united-states-0qx2vbb5mnwq) — United States
- [Customer Success Manager, Mid-Market](https://feeny.ai/job/customer-success-manager-mid-market-triple-whale-united-states-qx9ff14e7wx6) — United States
- [Implementation Manager, Enterprise PST](https://feeny.ai/job/implementation-manager-enterprise-pst-triple-whale-us-west-coast-8trbxc8az8w6) — US West Coast
- [Implementation Manager, Mid-Market PST](https://feeny.ai/job/implementation-manager-mid-market-pst-triple-whale-us-west-coast-h09feaf68z6d) — US West Coast
- [Customer Success Manager, Growth](https://feeny.ai/job/customer-success-manager-growth-triple-whale-raleigh-9k84pyrcybjm) — Raleigh, NC / Columbus, OH / United States
- [Business Operations Manager](https://feeny.ai/job/business-operations-manager-triple-whale-new-york-c16fsjeezc91) — New York, NY
- [Team Lead, Sales Engineering](https://feeny.ai/job/team-lead-sales-engineering-triple-whale-remote-ve12gh6dfv96)
- [Creator Marketing Manager](https://feeny.ai/job/creator-marketing-manager-triple-whale-united-states-r5yfm30rxev9) — United States
- [AI Marketing Strategist](https://feeny.ai/job/ai-marketing-strategist-triple-whale-united-states-2yrs5j2mehm3) — United States
- [Technical Product Support Specialist](https://feeny.ai/job/technical-product-support-specialist-triple-whale-united-states-eeva3rz310me) — United States