Lead Growth Data Scientist – AI Search

JOB LEVEL

P40

EMPLOYEE ROLE

Individual Contributor

About The Opportunity and Team

AI-powered search (such as ChatGPT, Gemini, and Perplexity) are reshaping how people discover, evaluate, and understand brands. Unlike traditional search channels, these platforms generate synthesized responses, introducing new challenges around brand visibility, accuracy, sentiment, and trust.

Within the Growth Marketing & Insights organization, our team strives to develop deep Category & Customer Insights, as well as measure Marketing Efficiency, operating at the intersection of analytics, experimentation, and strategy. We thrive in ambiguity, move quickly through learning loops, and build repeatable, AI-first measurement frameworks that inform growth decisions. We partner closely with Product, GTM, Finance, and Engineering to bring clarity to emerging problem spaces.

About the Role

We’re looking for a Lead Growth Marketing Data Scientist to define and measure success across emerging AI surfaces. This is a highly strategic individual contributor role responsible for inventing the analytics, metrics, and insights that guide growth optimization in a fast-evolving environment. You will work closely with executives and cross-functional partners in a complex, multi-layered organization. You will move teams from intuition to evidence and help compose the organization’s overall AI Search approach.

What You’ll Do

• Define and evolve measurement metrics & frameworks for brand presence performance in AI-powered search and answer engines.
• Compose exploratory analyses and experiments to drive actions, translating insights into repeatable playbooks through ongoing iterations & feedback.
• Develop proxies and heuristics to connect brand visibility and sentiment to business outcomes (e.g., MAU, LTV, GNARR) where direct attribution is not possible
• Build scalable scorecards, dashboards, or other creative ways of visualization that enable self-serve access to performance
• Set quarterly targets, monitor weekly performance, and deliver actionable insights to senior marketing leaders.
• Translate complex findings into clear narratives that influence strategic decisions and the company-wide AI Search strategy and roadmap.
• Partner deeply with PMM, GTM, SEO/GEO, Social, PR, and Media teams to align on success metrics, priorities, and tradeoffs.

What You'll Need to Succeed

• 6 - 10+ years of experience in growth data science, analytics, or applied experimentation
• Passionate about AI, consumer trends, brand outcomes, and marketing-led growth
• Strong analytical and statistical reasoning, with comfort working from imperfect or incomplete data
• Experience crafting experiments or measurement frameworks without a clear ground truth
• Strategic attitude with the ability to synthesize insights into action
• Proven ability to operate in highly ambiguous, zero-to-one problem spaces as a self-starter
• Strong communication and storytelling skills, influencing across a large, matrixed organization

Nice to Have

• Experience with Search, SEO, recommender systems, or AI/ML-powered products
• Background in NLP, sentiment analysis, or brand measurement
• Experience defining analytics strategy for emerging or first-of-its-kind initiatives

Expected Pay Range:

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.‌

In California, the pay range for this position is $163,200 - $236,400

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detecto