Women account for just 13% of C-suite AI positionsgettyAI is creating a wave of new job opportunities. In the U.S. alone, LinkedIn reports that AI job postings have roughly doubled since 2023, and the typical posting lists about $177,000 in compensation compared with $80,000 for a non-AI role.Yet women made up only 26% of hires in these positions in 2025.STEM has traditionally been full of male-dominated industries, but with the AI job boom, the gap is much more obvious and pronounced. Women are in the minority in AI hiring, and the gap is even wider at the top, with women accounting for just 13% of C-suite AI leadership roles at AI companies globally.Some of the highest-paying roles, like head of AI, director of AI, and member of technical staff within AI companies and startups, go mainly to men:Head of AI: 80% maleDirector of AI: 74% maleMember of technical staff: 82% maleWomen Are Disproportionately Represented In AI Power CirclesWhat I find particularly fascinating is the unequal distribution of economic value within the AI job market. When you double-tap into the data from LinkedIn’s Triple Penalty report, the highest-paying and most senior-level roles as well as the roles with most direct AI impact within AI firms continue to largely exclude women.Data annotator — the AI job that requires little technical expertise or educational qualifications, is usually comprised of irregular gig or project-based work on freelance marketplace platforms, and is the lowest-paying role —is the only AI occupation with an equal gender balance, where women have a stronger footing in the industry. The share of hires for data annotation positions for women sits at more than 50%, on par with non-AI occupations.Meanwhile, the share of hires for women in AI roles looks like this:Member of technical staff--18%Forward-deployed engineer--18%Head of AI--20%VP of AI--21%AI engineer, the most popular and in-demand AI role right now--24%ML engineer--26%AI occupations--between 26% and 29%Director of AI--26%Applied AI--26%Generative AI engineer--30%Manager of AI--35%The AI Power And Opportunity MapA woman's proximity to control, revenue, and development within the AI industry is vital because it ensures AI companies' outcomes do not disproportionately impact humanity. It also helps ensure the best decisions are made on an equal footing and that women gain greater representation in the AI job market, which typically pays double the rate of non-AI jobs.Of course, to close the gender gap, we must think about resolving systemic gaps within STEM education, and even employer sentiment towards hiring women within AI roles at the entry-level within organizations, which still sees lower representation.After all, you cannot build a leadership pipeline without laying the foundations that make it accessible.That being said, here is a map of the top three roles with the highest salaries and proximity to power and influence in AI, and what you can do as a woman within this space to ensure optimal career alignment for each of these jobs:1. Head of AIThis is one of the industry's highest-paid positions.Access: About 98% of hires hold at least a bachelor’s degree, per LinkedIn’s AI Talent Divide report. Almost 70% have a graduate degree, and one in five hold a doctorate. You're more likely to increase your chances of entering this role if you have at least a bachelor's and graduate degree.Role leverage: A head of AI has strong executive influence and governance, especially around enterprise AI strategy and investment priorities.Your practical route into the role: Once the educational requirements have been satisfied, build a portfolio of evidence leading AI projects and governance across several functions within organizations, a similar size to the organizations you would like to target. Be prepared to demonstrate your commercial results, how you owned and mitigated risk, and the impact of your executive-level decision-making.Average salary: $353,783 (Glassdoor)Focus on building a portfolio of tangible evidence of business decision-making and impact on AI outcomesgetty2. Director of AIThis is another role with broad demandAccess: More than 97% of new hires into this position hold at least a bachelor's degree.Role leverage: This role has significant leverage through portfolio leadership, team management, implementing AI initiatives, and translating executive strategy into operations.Your practical route into the role: You can step into this from a leading role within engineering, data, or digital transformation. Holding budget responsibility, team management, and leading measurable business outcomes through digital transformation are strong assets to add to your resume.Average salary: $300,089 (Glassdoor)3. Member Of Technical StaffThis is a broad research and engineering role, which falls under the generic umbrella title of Member of Technical Staff, usually at AI startups. Job postings for this role have nearly tripled between 2021 and 2026, with most of the growth happening post-2023; salary data also shows compensation has increased faster than many other AI roles.Access: About 60% have a graduate degree.Role leverage: Your leverage in this role lies in system design, large language models, and AI model architecture. You make the technical decisions that shape an AI product's capabilities and safety.Your practical route into the role: Build a solid portfolio of in-depth expertise within engineering or research. You can also apply for a fellowship program, such as OpenAI’s or Anthropic's. These routes lead to full-time engineering and research positions.Average salary: the range varies widely from as low as $74,000 to as much as $242,000 (Salary.com and other pay transparency websites), depending on where you work.Discover Where You Stand In The AI Job EconomyNow ask yourself these questions to identify where you stand in the AI economy:Am I simply completing AI tasks, or do I directly control an outcome?Can I clearly show how my work has directly impacted revenue, costs, risk, quality, or customer behavior?Do I influence the design and deployment of AI systems, or am I only contributing inputs?Does my role involve strategic decision-making or ownership?If you’re not clear, or you find that your experience to date has comprised completing tasks without having budgetary or decision-making control, you are at the bottom of the AI career ladder.Close The AI Gender GapNow it's time to choose your target role. Analyze about 20 live job descriptions and make a note of the following:Which capabilities appear most frequently?What are the business outcomes attached to the role?What does success or “good” look like?What are the tools I would be expected to use?What’s the evidence, the tangible proof that candidates are expected to provide most frequently when applying for these AI jobs?What is the tangible gap between where I am now and where I need to be, in terms of executive and leadership skills or the strength of my network?Use this intelligence to create a 90-day action plan to move you closer to solving a high-stakes problem within the AI industry and owning decisions, infrastructure, risk, and budget.