Data Science Manager, WhatsApp AI

Summary:

WhatsApp Data Science is looking for an experienced manager to lead our AI DS team, to deeply understand trends with the industry and AI features on WhatsApp, shape the strategy to establish Product/Market fit with new and evolving AI consumer use cases, establish data foundations and processes to increase our product pipeline velocity, identify opportunities to drive growth of AI features, and execute on projects by partnering with a large cross-functional team to deliver long-term impact, in an area with high interest from Meta leadership.WhatsApp AI is a large organization charged with accelerating the adoption of consumer AI features at Whatsapp. The innovation in this broad space is rapid - AI agents, chat-assistive features or new ways to use AI with media - and this organization is moves fast to build features not only at the cutting edge of AI, but to the scale of our 2.5B+ Whatsapp ~~~ are in the midst of advancing our approach to analytics and becoming an increasingly data-informed organization. We're looking for someone who can provide transformational leadership, institute new methodologies in this new space, and shape a healthy focus on data. You can be expected to jointly build the strategy for Whatsapp AI, shape the MVP and growth playbook for AI features, get into the weeds of adoption/retention tactics as well as zooming out to the big picture of the overall strategy and approach. You will regularly work with experienced product leaders at WhatsApp, and AI analytics leaders across Meta.

Required Skills:

Data Science Manager, WhatsApp AI Responsibilities:

1. Shape the strategic direction of our AI initiatives

2. Invest in data foundations and analytical methods to sharpen our understanding of growth levers

3. Hire & support the DS team in an ambiguous and fast paced environment

4. Partner with a cross-functional team to achieve our ambitious long-term goals

5. Monitor performance against Whatsapp's ambitious AI adoption and growth goals

6. Build extensive experimentation rigor across AI launches, and growth and optimization experiments

Minimum Qualifications:

Minimum Qualifications

1. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience

2. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including 2+ years of experience managing analytics teams

3. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers

4. A minimum of 2 years of experience working on consumer facing products

5. Experience communicating both in low-level technical details as well as high-level strategies

6. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering

7. Demonstrated executive communication skills, given the need to present to Leadership Executives at Whatsapp

Preferred Qualifications:

Preferred Qualifications

1. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.

2. Proven track record of leading high-performing analytics teams.

3. 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space

4. Prior experience directly working on incubating and growing new features in consumer apps

Public Compensation:

$206,000/year to $281,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

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