Job Description:
The Director of AI/ML Engineering will lead the technical strategy, system architecture, and daily operations of a small but high-impact team building AI-powered product capabilities. They will lead a group of Machine Learning Engineers and partner closely with product, ML Ops, and research teams to scale our LLM-based infrastructure and accelerate delivery of features like Iris. This is a hands-on leadership role that requires strong technical depth, sound architectural judgment, and the ability to operate effectively in a dynamic environment. The ideal candidate is energized by solving meaningful problems and bringing clarity to complex spaces.
Who you’re committed to being:
You enjoy learning and are open to new ways of doing things.
You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.
When communicating you are self-aware, insightful, and proactive.
You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link.
You believe in continuous improvement and request frequent feedback from others.
What you’ll do:
Lead the technical roadmap and architectural direction for AI/ML systems, including LLM infrastructure, retrieval pipelines, and generative workflows
Manage and mentor a team of engineers; set technical direction and ensure operational excellence
Oversee day-to-day team operations and delivery; ensure progress, accountability, and timely execution across projects
Partner closely with the product manager to align engineering execution with product strategy and business priorities
Collaborate with ML Ops on performance, cost, and scaling; understanding of operational tradeoffs is essential
Work with the AI Architect from Research & Innovation on long-term planning, prototyping, and tool evaluation
Translate strategy into clear technical plans and influence budget or prioritization discussions based on business value
Guide development practices to ensure stability, scalability, and long-term maintainability of ML systems
Experience you’ll bring:
Technical strategy and roadmap ownership – Demonstrated ability to define and drive the technical direction for complex AI/ML systems, aligning with business and product goals
Architecture and systems design – Proficient in designing scalable backend systems, including LLM orchestration, retrieval pipelines (e.g., RAG), and ML service infrastructure
AI/ML infrastructure at scale – Familiarity with modern ML stack components, including model serving, prompt orchestration, vector stores, and cost/performance optimization
Operational delivery and execution leadership – Proven experience leading engineering teams to deliver high-impact features with accountability for scope, timeline, and stability
Team leadership and people management – Experience managing engineers, providing technical mentorship, and creating a collaborative, high-performance team environment
Cross-functional collaboration – Skilled at partnering with product managers, ML Ops, and research teams to define priorities, resolve tradeoffs, and drive shared outcomes
Technical decision-making under ambiguity – Comfortable leading in dynamic environments, setting direction with incomplete inputs, and balancing short-term needs with long-term vision
Strong written and verbal communication – Able to synthesize complex technical topics and present them clearly to both technical and non-technical stakeholders
Requirements:
7+ years of experience in engineering, with at least 3–5 years leading teams in AI/ML, backend systems
3+ years of direct people management experience, with a proven track record of growing and mentoring engineering talent
Experience owning technical strategy, architecture, and execution in a cross-functional environment
Prior work in AI/ML infrastructure or production-scale systems involving LLMs, recommendation, or content retrieval preferred
Bachelor’s degree in Computer Science or a related field required; advanced degree (MS/PhD) preferred but not required with strong industry experience
LLM-powered product development – Hands-on experience building or integrating large language models into real-world user-facing systems
Exposure to research or R&D collaboration models – Experience working with research teams or on long-horizon planning and technical feasibility evaluation
This is a remote role; however, applicants located within 45 miles of our Draper, UT, or Westlake/Dallas, TX offices should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.
Why you’ll love working here:
We’re a blended workplace, where team members work remotely or in a hybrid setup depending on their role and location
We’re mission driven and guided by our culture pillars
We have a strong commitment to diversity and belonging
We cultivate a culture of trust, autonomy, and collaboration
We’re lifelong learners and champion team member growth and advancement
We’ve got you covered - team member benefits include competitive compensation packages, medical coverage, unlimited PTO and Summer Fridays, wellness reimbursements, Pluralsight subscription, professional development funds and more.
About us:
Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. Pluralsight provides highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.
Physical and Mental Requirements:
Work is performed in an office (or home office) environment and requires the ability to operate office equipment and keyboards. Sedentary work. Repetitive work. Ability to perform tasks related to documentation, data analysis, transcription and extensive content analysis. Learn new tasks, remember processes, complete tasks independently, and make timely decisions in the context of a workflow.
EEOC Statement
Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please visit the bottom of our website to learn how to request an accommodation.
For more information on Pluralsight’s commitment to building a more diverse and inclusive workforce, please review our most recent Diversity, Equity, Inclusion and Belonging report here.
The annual US base salary range for this role is $166,600 - $231,300 USD. Pluralsight's pay ranges vary based on work location. Talent Acquisition can share more detail during the hiring process when applicable. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. In addition to the base salary, this role may also be eligible for benefits and bonuses.
Applications must be submitted within 90 days after the initial posting date to be considered.
Please be aware of recruiting scams that may impersonate Pluralsight. These unauthorized parties may use our name, logo, and employee information to solicit personal information or payments from job seekers under the guise of employment offers. Please note the following:
Pluralsight will only contact candidates through official channels, such as emails from the @pluralsight.com domain or direct messages via our verified profiles (e.g., LinkedIn).
We will never request payment, banking information, or personal documents (such as your social security number or passport) as part of the application process.
All legitimate Pluralsight job openings are posted on our Careers page, and our hiring process is outlined in detail on our How We Hire page.
If you receive a suspicious message claiming to be from or about Pluralsight, we encourage you to contact us directly via [email protected] to verify its authenticity.
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