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Company Description
Do you want to develop your career and make an impact in the fast\-growth, fast\-moving B2B technology space?
At Informa TechTarget, you’ll collaborate and grow alongside some of the industry’s most respected experts. You’ll work with leading brands and be exposed to world\-shaping innovations. You’ll apply your energy and intellect to helping clients be faster to market and faster to revenue.
We’re a vibrant community of world\-class practitioners – over 2000 colleagues strong – with offices in 19 locations around the world. We’re traded on Nasdaq and also part of Informa PLC, a global leader in business\-to\-business events, digital services, and academic research in the FTSE 100\.
About Informa TechTarget
Informa TechTarget (Nasdaq: TTGT) informs, influences and connects the world’s technology buyers and sellers, to accelerate growth from R\&D to ROI.
With an unparalleled reach of over 220 highly targeted technology\-specific websites and more than 50 million permissioned first\-party audience members, Informa TechTarget has a unique understanding of and insight into technology markets.
Underpinned by those audiences and their data, we offer expert\-led, data\-driven, and digitally enabled services that deliver significant impact and measurable outcomes to our clients. We provide our customers with:
- Trusted information that shapes the industry and informs investment
- Intelligence and advice that guides and influences strategy
- Advertising that grows reputation and establishes thought leadership
- Custom content that engages and prompts action
- Intent and demand generation that more precisely targets and converts
Our organization is committed to sustainability, diversity, wellbeing, and ethical working practices. Visit informatechtarget.com and follow us on LinkedIn.
For more information, visit informatechtarget.com and follow us on LinkedIn
Job Description
Omdia (now part of Informa TechTarget) is seeking a Research Director to lead our Artificial Intelligence practice. The successful candidate will lead and manage a global analyst team and guide the strategic evolution of the AI service area to drive growth across both subscription and custom research offerings.
The Omdia Artificial Intelligence Service Area encompasses four core syndicated products: Advanced Compute, AI Applications, AI Platforms, and AI APAC. Each of these products is built on a robust quantitative foundation, complemented by qualitative insights derived from and around that data. A key responsibility of the Research Director is to ensure that the research deliverables associated with these products meet Omdia’s high\-quality standards and provide actionable insights for clients. The Research Director will be responsible for building strong relationships with our top clients and prospects based on the team’s leading research products. Additionally, the Research Director will play a critical role in the strategic evolution of these products, ensuring they are well\-positioned for growth and continue to address the evolving needs of our clients.
Strong commercial acumen is essential for this role. The Research Director will be expected to actively collaborate with sales and engage with clients and prospects to showcase the capabilities of the AI Service Area and the broader Enterprise \& Channel group within Omdia. Building strong relationships and effectively engaging with a diverse range of client types, including senior executives at the highest levels of the industry, will be crucial for success in this position.
This is a “hands\-on” role, requiring the Research Director to conduct their own research, publish under their own name and speak at client and industry events. Therefore, the ideal candidate will be an experienced analyst with a proven track record of producing credible, high\-quality research assets and possessing strong insight into the AI technology landscape. The successful candidate must also have the confidence and expertise to present to diverse audiences, ranging from AI practitioners to senior industry executives, at client meetings and industry events.
The position is suited to an enthusiastic and collaborative individual who thrives in a dynamic environment, demonstrates exceptional leadership skills, and is passionate about driving innovation in Omdia’s Artificial Intelligence research. The successful candidate will bring a strategic mindset, a commitment to excellence, and the ability to inspire and mentor a team of analysts located around the globe to achieve their full potential.
Qualifications Role and Responsibilities
Team leadership
Leadership of all team members in the Artificial Intelligence Service Area (APAC, EMEA, NA). The focus is on helping shape and develop the workload within the I\&A capability of Informa TechTarget, ensuring delivery for clients, supporting team members, encouraging personal development, and planning research.
Build and maintain client relationships
Over time, and as your career progresses at Omdia and Informa TechTarget, build and maintain a network of client relationships. Become a trusted advisor to these clients over time.
Collaboration
Promote a culture of teamwork and knowledge sharing within the research team to enhance productivity and innovation, while fostering cross\-functional collaboration with other teams throughout Omdia to align research outputs with business objectives in an AI\-driven landscape.
Deliver insightful research
Support the creation of high\-quality research in the form of reports, trackers, forecasts, and presentations. Work with analysts from within the AI team and beyond to develop and test hypotheses that test existing beliefs within a market to provide unique insight. Use all the tools and knowledge at your disposal to produce analysis that goes beyond the descriptive to give Omdia the edge over its competition. Apply the same approach to your own research.
Market high\-level industry expertise
Use your expertise and experience to define and expand an area of research. Market that expertise at a senior level within our clients and prospects. Provide a timely response to market events and offer up\-to\-date opinions founded on broad\-based experience.
Ensure effective client management
Build, develop, and manage ongoing relationships with clients. Represent Omdia and Informa TechTarget, demonstrating your expertise in Artificial Intelligence and related areas, as well as taking a broad view of technology and its delivery of business outcomes. Engage with sales, marketing, product management, and PR teams. Actively participate in client\-facing meetings with the sales team and add credibility to Omdia and Informa TechTarget relationships.
Expand strategic planning involvement
Offer insight to our planning meetings. Contribute to the direction and strategy of the team plus the wider Enterprise \& Channel team. Through the understanding of client needs based on senior\-level relationships, develop a customer\-based point of view for new products and advisory services.
Skills \& Experience
- Team management, with the ability to engage directly with team members to deliver results for clients; build a climate where feedback and review of decisions and practices is part of everyday work.
- Team development, to enhance and invest in a coaching environment focused on long\-term performance, personal/team strengths and development areas, linking them to current and future corporate strategy.
- At least 7 years of professional experience. Experience as industry analyst or in market research.
- Solid understanding and insight into the Artificial Intelligence technology and services market, and the ability to quickly form credible, distinctive, compelling, and original opinions on how aspects of these will evolve, and why.
- Quantitative research, with the ability to build, maintain, and enhance market forecasts and trackers, and present complex concepts and trends from data in a compelling manner.
- Excellent written communication skills, with the ability to synthesize complex ideas.
- Strong verbal communication and presentation skills, including a personable manner and the confidence to present to, engage with, and influence executives at the highest levels of the industry.
- The ability to build and enhance a profile with industry contacts and opinion formers. A network of existing industry contacts would be desirable.
- The ability to quickly and coherently identify and communicate critical issues impacting the commercial performance of Omdia’s vendor clients across Artificial Intelligence tech and services market.
- Experience of working with sales and marketing teams to identify and successfully capitalize on business development opportunities.
- A proven track record of managing a workload to ensure deadlines are met and client expectations are exceeded.
- Ability to travel domestically and internationally.
- Cultural awareness, as the role involves working with global clients and within a global virtual team environment.
Additional Information
TechTarget, Inc., doing business as Informa TechTarget, including its subsidiaries is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex (including pregnancy), age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.
If you would like to request reasonable adjustments or accommodations to assist your participation in the hiring process and, or in the advertised position, please inform the appropriate Talent Acquisition Partner for the role once they have been in touch. Your request will be reviewed and considered in confidence.
Informa TechTarget complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable federal, state or local law.
We believe that great things happen when people connect face\-to\-face. That's why we work in\-person with each other, or with customers and partners, three days a week or more. When you’re not spending time together in one of our offices or other workplaces – like at an Informa event – you get the flexibility and support to work from home or remotely.
Our benefits include:
- Great community: a welcoming culture with in\-person and online social events, our fantastic Walk the World charity day and active diversity and inclusion networks
- Broader impact: take up to four days per year to volunteer, with charity match funding available too
- Career opportunity: the opportunity to develop your career with bespoke training and learning, mentoring platforms and on\-demand access to thousands of courses on LinkedIn Learning. When it’s time for the next step, we encourage and support internal job moves
- Time out: annual leave, birthday leave, volunteer days and the chance to work from (almost!) anywhere for up to four weeks a year
- A flexible range of personal benefits to choose from, plus company funded private medical cover
- A ShareMatch scheme that allows you to become an Informa shareholder with free matching shares
- Strong wellbeing support through EAP assistance, mental health first aiders, a healthy living subsidy, access to health apps and more
- Recognition for great work, with global awards and kudos programmes
- As an international company, the chance to collaborate with teams around the world
The salary range for this role is $150,000 \- $155,000 based on experience.
This posting will automatically expire on 06/23/2026\.
Salary Context
This $150K-$155K range is below the median for AI/ML Engineer roles in our dataset (median: $180K across 1937 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 3,823 AI roles we're tracking, AI/ML Engineer positions make up 69% of the market. At Informa TechTarget, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $181,170 based on 12,692 positions with disclosed compensation. Director-level AI roles across all categories have a median of $247,800. This role's midpoint ($152K) sits 16% below the category median. Disclosed range: $150K to $155K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Informa TechTarget AI Hiring
Informa TechTarget has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Newton, MA, US. Compensation range: $155K - $155K.
Location Context
Across all AI roles, 15% (590 positions) offer remote work, while 3,217 require on-site attendance. Top AI hiring metros: New York (2,643 roles, $211,000 median); San Francisco (2,168 roles, $253,000 median); Los Angeles (1,792 roles, $191,580 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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