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Technical Leadership Jobs (NOW HIRING)

Data Scientist, Analytics (Technical Leadership) Responsibilities: * Work with complex data sets to solve challenging problems using analytical and statistical approaches * Apply technical expertise ...

We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the ...

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$30K

$156.3K

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How much do technical leadership jobs pay per year?

As of Aug 22, 2026, the average yearly pay for technical leadership in the United States is $156,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is technical leadership?

A Technical Leadership job involves guiding engineering teams, making key technical decisions, and ensuring best practices in software development or IT projects. It requires a mix of technical expertise and leadership skills to mentor team members, improve development processes, and align technology with business goals. Technical leaders often collaborate with stakeholders, set architectural direction, and help resolve complex technical challenges while fostering innovation and efficiency within teams.

What does a typical day look like for someone in technical leadership?

A typical day in Technical Leadership involves balancing hands-on technical work, such as code reviews or architectural decisions, with team management tasks like mentoring engineers and facilitating stand-up meetings. You will often collaborate with cross-functional teams, stakeholders, and senior management to ensure project milestones are met and technical standards are upheld. Technical leaders also play a key role in strategic planning, troubleshooting blockers, and supporting team members’ professional development. The work environment is fast-paced, and your ability to shift between technical detail and big-picture thinking is essential for driving both team success and business outcomes.

What are the key skills and qualifications needed to thrive in technical leadership?

To excel in Technical Leadership, you need a strong background in software development or engineering, experience managing technical teams, and a track record of delivering complex projects. Familiarity with project management tools (such as Jira, Trello, or Asana), cloud platforms, and relevant technical certifications (like AWS Certified Solutions Architect or PMP) is highly valued. Outstanding communication, mentorship, and problem-solving skills help foster productive teams and drive innovative solutions. These abilities enable effective guidance of technical projects, alignment with business goals, and successful leadership within dynamic work environments.

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Cities with the most Technical Leadership job openings:

What are the most commonly searched types of Technical Leadership jobs?

The most popular types of Technical Leadership jobs are:

What states have the most Technical Leadership jobs?

States with the most job openings for Technical Leadership jobs include:

Infographic showing various Technical Leadership job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $156,348 per year, or $75.2 per hour.

Data Scientist, Analytics (Technical Leadership)

Meta

Menlo Park, CA

$210K/yr

Full-time

Re-posted 4 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies


Job description

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Data Scientist, Analytics (Technical Leadership) Responsibilities:
  • Work with complex data sets to solve challenging problems using analytical and statistical approaches
  • Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
  • Identify and measure success through goal setting, forecasting, and monitoring key metrics
  • Partner with cross-functional teams to inform and execute product strategy and investment decisions
  • Build long-term vision and strategy for programs and products
  • Collaborate with executives to define and develop data platforms and instrumentation
  • Effectively communicate insights and recommendations to stakeholders
  • Define success metrics, forecast changes, and set team goals
  • Support developing roadmaps and coordinate analytics efforts across teams

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  • 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience communicating complex technical topics in a clear, precise, and actionable manner

Preferred Qualifications:
  • 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  • 10+ years of experience doing complex quantitative analysis in product analytics
  • 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.
$210,000/year to $281,000/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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