This hybrid role mixes hands-on analytical tasks with strategic leadership as you build and expand a team during rapid growth. You will work closely with Firefly Product, Leadership, PMM, GTM, PLG, and Engineering teams. You will also collaborate with participants across the organization to influence strategy, roadmap, and investment decisions throughout the customer lifecycle. Your duties include developing insights that guide product and business choices and creating data science models.

If you are passionate about AI and creativity, data-driven decision-making, systems, and design thinking, and thrive in a dynamic environment, we encourage you to apply. Join our team to shape the future of digital creativity with Adobe’s generative AI. This opportunity lets you reach millions of creatives and help them change how they work.

What you’ll do:

• Play a hands-on analytical role during your first few months. Then, transition to managing, mentoring, and leading a team of data analysts and scientists. You will ensure high-quality work, clear growth paths for team members, and balanced resourcing across workstreams.

• Develop and maintain a deep understanding of our customers, products, and business performance to inform data-driven decisions

• Function as a trusted advisor for counterparts on Product, Marketing, GTM, PLG, and Engineering teams to guide the roadmap by providing data-driven insights and proposals

• Partner with senior and executive leadership to shape Firefly’s analytics and experimentation strategy

• Anticipate risks and roadblocks before they surface, and proactively define and prioritize the opportunities most worth pursuing to grow the business

• Define important measurements and lead monitoring of these to assess product performance and track product health

• Partner with multi-functional partners and the analytics product manager to develop and complete a roadmap of analytics initiatives. These initiatives will drive the most business value for the suite of Firefly products the team manages.

• Perform advanced deep dives, build predictive models and dashboards to mine insights

• Combine data, experimentation, and insights based on detailed examination to deliver actionable recommendations that address opportunities for product improvements

• Improve reporting and data tools to empower data-driven decision-making in the workstreams you support

• BS, MS, or PhD in an analytical field: statistics, applied mathematics, computer science, engineering, economics, physics etc. or equivalent practical experience

• Over 4 years of experience leading analytics & data science groups, including mentoring senior individual contributors

• 5+ years of proficiency in Python and SQL

• Strong proficiency in querying and manipulating large datasets using SQL-like languages on cloud (Databricks, Spark-SQL, Airflow)

• Strong fundamentals in statistics as well as shown skills in data visualizations

• Experience with A/B testing and sampling methods

• Good communication and relationship building skills

Preferred / nice-to-have:

• A track record spanning over 3 years in contemporary data science processes in cloud environments (Git, Jupyter, Python, AWS, Azure)

• Ability to support multiple ongoing projects in a fast-paced environment

• Solid background in data warehousing, data modeling, data access, and data storage techniques

• Experience crafting dashboards in Tableau or PowerBI

• Expert in one or more data science tools such as Pandas, NumPy etc

• Experience with Adobe Analytics or a similar web analytics tool

• Experience building data processing machine learning models in a product environment

• Familiarity with ML for propensity estimation and causal inference with observational data or experimental designs

FireflyGenAI

About Adobe

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 $144,800 – $284,325 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 $196,400 - $284,325

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.

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create., At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.