Job Description:Sr. Director, ML Engineering - Generative AI ExperiencesLocation: New York or US-Remote
About the RoleWe are seeking a Senior Director of ML Engineering to lead the technical vision, development, and integration of generative AI experiences on vertical products. You will tackle the complex challenges of scaling AI solutions, leveraging our centrally built AI foundations and frameworks, to innovate and deliver exceptional user experiences for our customers. This is a hands-on leadership role that blends technical depth, product thinking, and people leadership.
Reporting to the SVP, Data & AI Engineering, you will partner closely with Product, Design, and Data Science to seamlessly weave LLMs and AI-driven capabilities into the specialized workflows that our professional users rely on daily.
You Will- Set the technical vision: Develop, own, and execute the technical strategy and engineering roadmap for applying AI to solve our customers challenges, balancing innovation with production stability.
- Lead and scale teams: Lead, inspire, and scale high-performing cross-functional engineering teams building AI infrastructure, agentic integrations, and robust backend services.
- Drive cross-functional alignment: Drive alignment and build consensus among diverse senior stakeholders in and outside of Technology.
- Ensure operational excellence: Ensure the delivery of high-quality, scalable systems that meet stringent performance SLAs, and establish robust monitoring, alerting, and incident response processes.
- Champion responsible AI: Ensure that models meet standards for quality, fairness, explainability, and regulatory/compliance requirements.
You Have- Extensive experience: 15+ years of software engineering experience, with 7+ years in senior leadership, demonstrating a track record of leading teams of varying sizes to high-impact outcomes.
- Domain expertise: Deep technical expertise and hands-on experience in machine learning pipelines and real-time data architectures at scale.
- Bridge-building capability: Demonstrated experience translating customer needs and technical possibilities-informed by a strong understanding of backend technologies, ML infrastructure, and Generative AI concepts-into actionable engineering plans and scalable product solutions.
- Executive presence: Exceptional communication and stakeholder management skills, with a proven ability to translate complex technical concepts for non-technical audiences and operate effectively in a matrixed organization.
- Strategic foresight: The ability to partner with product and engineering leadership, connecting technical architecture decisions to business outcomes over multi-year horizons.
Our Benefits- Comprehensive Healthcare Plans
- Paid Time Off
- Retirement Plans
- Comprehensive Insurance Plans
- Lifestyle Programs & Wellness Resources
- Education Benefits
- Family Care Benefits & Caregiving Support
- Commuter Transit Program
- Subscription Discounts
- Employee Referral Program
- Financial Health Programs
- Cybersecurity Protection
Learn more about us and our benefits click here.
Business Area:Dow Jones - Technology
Job Category:Software Product Engineering
Union Status:Non-Union / A clear and likely internal candidate
Base Pay Range: 220,000 - 270,000
We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors.
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
