Sr. Director, ML Engineering - Generative AI Experiences

Dow Jones•New York, NY

8d•$220,000 - $270,000•Remote

About The Position

Our Technology team drives the evolution of our Technology, Engineering, Data, Product, and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers, and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video, and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. We 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.

Requirements

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.

Responsibilities

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.