Competitive Intelligence Lead

Meta; Burlingame (CA); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Competitive Intelligence Research professional in Burlingame, California. This role focuses on influencing product direction through robust data analysis and insights. Candidates should possess extensive experience in business intelligence and analytics, especially within tech environments.

The ideal applicant will have a bachelor's degree and at least six years of relevant experience, with skills in AI technologies, SQL, and Python. The position offers a compensation range from $177,000 to $247,000 annually, along with bonuses and equity.

Qualifications

• Minimum of 6 years of work experience in business intelligence or product analytics.
• Proficiency in AI-powered tools and data analytics.
• Experience with causal inference and Bayesian aggregation.

Responsibilities

• Influence product direction using data-driven narratives.
• Conduct advanced analyses and deliver actionable insights.
• Ensure data privacy, security, and compliance.

Skills

Data governance and quality

Statistical analysis

Data querying languages (SQL)

Scripting languages (Python)

Generative AI technologies

Education

Bachelor’s degree in a relevant field

Master’s or Ph.D. in a quantitative field

Tools

Statistical/mathematical software (R)

Job description

Competitive Intelligence Research Responsibilities

• Market Strategy: Influence organization‑level product direction through data‑driven narratives and an in‑depth understanding of the market landscape. Demonstrated experience operating at scale, across ambiguous environments with working knowledge of econometrics. As a quantitative market‑strategist, blend practical and applied understanding with technical expertise, including pressure‑testing data for quality, reliability, understanding data biases, and being solution‑driven.
• Analytics Leadership: Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that inform market and business strategy. Specific activities include:
  • Data onboarding: Identify, onboard, and rigorously evaluate 3P datasets to determine their signal‑to‑noise ratio and predictive power.
  • Data triangulation: Triangulate data from many sources of imperfect information. Synthesize multiple, low‑fidelity 3rd‑party signals into a single high‑fidelity trend report using Bayesian aggregation or other methods.
  • Data transformation: Apply quasi‑experimental designs (e.g., synthetic control, diff‑in‑diff) to isolate the impact of exogenous market shocks and competitor actions on internal performance metrics.
  • Insight and implications: Apply guidance from such analyses to increase the accuracy of forecasts and better understand market trends.
• Technical & Methodological Expertise: Act as a recognized professional in a technical or methodological area (e.g., causal inference, Bayesian aggregation), driving the adoption of advanced methods and organization‑wide best practices.
• Data Governance & Quality: Ensure data privacy, security and compliance with organizational standards. Champion data quality frameworks and documentation practices that enable credible reproducible analyses.
• Resourceful and adaptable professional with a bias for action.

Minimum Qualifications

• Bachelor’s degree and a minimum of 6 years of work experience (minimum 4 years with a Ph.D.) in business intelligence, product analytics or economic or strategy consulting in a technology environment.
• Demonstrated skill to ethically source, validate and synthesize high‑signal insights from stakeholder interviews, skilled conversations, field research and relationship‑based information gathering while maintaining high standards for privacy, consent and integrity.
• Proficiency in AI‑powered tools: Demonstrate working knowledge of Generative AI technologies and experience designing, prompting and orchestrating AI systems to automate data analyses, synthesize insights and execute multi‑step analytical tasks.
• Practical working understanding of data‑analytics tools and direct experience managing, analyzing, manipulating and interpreting 1P and external 3P datasets.
• Experience with data querying languages (SQL), scripting languages (Python) and/or statistical/mathematical software (R).
• Proven experience with statistical analysis including causal inference, quasi‑experiment or Bayesian aggregation.
• Demonstrated communication skills and experience presenting complex findings to both technical and non‑technical stakeholders.
• Demonstrated experience thriving in ambiguous environments and shaping new analytics organizations or products.

Preferred Qualifications

• Master’s or Ph.D. in a quantitative field such as Quantitative Economics, Political Science, Operations Research, Data Science, Computer Science, Physics, Business or Mathematics.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact.
• Experience adhering to and implementing responsible, ethical AI practices.
• Demonstrated ongoing AI skill development and staying current with emerging AI technologies.

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on 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.

Meta is committed to providing reasonable accommodations for candidates with disabilities in the recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations‑[e-mail].

Compensation: $177,000 per year to $247,000 per year + bonus + equity + benefits.