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Competitive Intelligence Manager Jobs in California

Meta

Competitive Intelligence Lead

Menlo Park, CA

$177K/yr

As a Competitive Intelligence Lead in Meta's Competitive Intelligence organization, you will ... Practical working understanding of data-analytics tools, and direct experience managing, analyzing ...

Meta

Competitive Intelligence Lead

San Francisco, CA

$177K/yr

As a Competitive Intelligence Lead in Meta's Competitive Intelligence organization, you will ... Practical working understanding of data-analytics tools, and direct experience managing, analyzing ...

OpenAI

Head of Competitive Intelligence

San Francisco, CA · On-site

$180 - $280/hr

Partner closely with Product Management to inform roadmap decisions and identify areas of strategic ... Experience building a competitive intelligence function from the ground up. * Exceptional ...

AssetMark

Sales Intelligence Analyst

Concord, CA · On-site

$115K - $130K/yr

Leveraging Gong AI, Salesforce, CRM Analytics, ChatGPT, industry research, and other intelligence ... competitive trends, and commercial opportunities * Evaluate sales execution, messaging, and ...

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Competitive Intelligence Manager information

See California salary details

$10.9K

$101.6K

$131.3K

How much do competitive intelligence manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for competitive intelligence manager in California is $101,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a competitive intelligence manager do?

A Competitive Intelligence Manager is responsible for gathering, analyzing, and interpreting information about competitors, market trends, and industry developments. They use this data to provide strategic guidance to their organization, helping leaders make informed decisions regarding product development, marketing, and business strategy. Their role often involves monitoring competitors’ activities, assessing potential threats and opportunities, and ensuring the company maintains a competitive edge in the marketplace.

What does a competitive intelligence manager do?

The job responsibilities of a competitive intelligence manager include working to find and analyze competitor data and research market conditions and customer activity in your company's industry. In this career, you may use analytics software or computer models to organize and analyze this data. You then create a report on your findings and present the report to senior level management or executives in your company. As a competitive intelligence manager, you also have management duties, which include recruiting and overseeing a team of junior analysts.

What are the key skills and qualifications needed to thrive as a competitive intelligence manager, and why are they important?

To thrive as a Competitive Intelligence Manager, you need strong analytical skills, strategic thinking, and a background in business, marketing, or a related field. Expertise in market research tools, data analytics platforms, and sometimes certifications like SCIP (Strategic and Competitive Intelligence Professionals) are typically valuable. Exceptional communication, curiosity, and the ability to synthesize complex information make someone stand out in this role. These skills are crucial for delivering actionable insights that inform business strategy and help organizations maintain a competitive edge.

How does a competitive intelligence manager typically collaborate with other departments within an organization?

A Competitive Intelligence Manager works closely with departments such as marketing, sales, product development, and executive leadership to gather and analyze information about competitors and market trends. They often facilitate cross-functional meetings to share insights, align strategies, and support data-driven decision-making. Effective collaboration ensures that intelligence findings are integrated into go-to-market plans and product roadmaps, enabling the organization to stay ahead in a competitive landscape. Building strong relationships across teams is key to ensuring that intelligence efforts have a tangible impact on business outcomes.

What is the difference between Competitive Intelligence Manager vs Market Research Analyst?

AspectCompetitive Intelligence ManagerMarket Research Analyst
Required CredentialsBachelor's degree; often MBA or related experienceBachelor's degree; often in marketing, business, or statistics
Work EnvironmentCorporate strategy teams, intelligence unitsMarketing departments, research firms
Employer & Industry UsageUsed across industries for strategic insightsPrimarily in marketing and consumer research
Search & Comparison IntentUnderstanding strategic intelligence rolesAnalyzing market trends and consumer data

The Competitive Intelligence Manager focuses on gathering and analyzing competitive data to inform strategic decisions, while the Market Research Analyst concentrates on understanding market trends and consumer behavior. Both roles require analytical skills and industry knowledge but serve different strategic purposes within organizations.

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Competitive Intelligence Manager jobs near you
Infographic showing various Competitive Intelligence Manager job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $101,590 per year, or $48.8 per hour.

Competitive Intelligence Lead

Meta

Menlo Park, CA

$177K/yr

Full-time

Re-posted 29 days ago

Key responsibilities

  • Lead major projects and product areas by conducting advanced analyses, developing statistical models, and delivering actionable insights.

  • Identify, onboard, evaluate, and synthesize third-party datasets to inform market and business strategies.

  • Apply advanced statistical and causal inference methods to analyze market trends and assess the impact of exogenous shocks and competitor actions.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

As a Competitive Intelligence Lead in Meta’s Competitive Intelligence organization, you will operate at the intersection of advanced analytics, data science, and market strategy. You will lead major projects and product areas—often in environments of significant ambiguity or technical complexity—driving both technical and business outcomes. This is a hands-on, high-impact role for builders who thrive on solving real problems. This role demands a unique blend of analytical and statistical expertise, strategic thinking , and the ability to translate complex insights into impactful product and business decisions. You will be recognized as a thought partner by cross-functional leads and will help shape the analytical foundations that inform how we build and grow our products.
Competitive Intelligence Lead 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, and across ambiguous, environments with working knowledge of econometrics. As a quantitative market-strategist, you will 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 informs market and business strategy. These include, but are not limited to:
  • 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, using 3rd-party behavioral and economic datasets
  • 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 that raise the bar for the entire team
  • 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, adaptable professional with a bias for action

Minimum Qualifications:
  • Bachelors degree and a minimum of 6 years of work experience (minimum of 4 years with a Ph.D.) in business intelligence, product analytics, or economic or strategy consulting in a technology environment with increasing scope and impact
  • Demonstrated skill to ethically source, validate, and synthesize high-signal insights from people (e.g., 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 (e.g., LLM and AI agents) and experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analyses, synthesize insights, and execute multi-step analytical tasks (e.g., prompting agent to clean datasets, build visualizations)
  • 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 (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
  • Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian aggregation (e.g., bayesian pooling, hierarchical modeling)
  • Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders
  • Demonstrated experience thriving in ambiguous environments and shape new analytics organizations or products

Preferred Qualifications:
  • Master's or Ph.D. Degree in a quantitative field such as Quantitative Economics or 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 (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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