Senior Director, AI Engineering

See yourself at Dataminr

Dataminr is searching for a visionary Senior Director of AI Engineering to lead and inspire the team of engineers building the AI and data engine powering Dataminr’s real-time intelligence platform . This pivotal role demands a leader who can bridge the gap between cutting-edge AI research and scalable, real-world product deployment. You will drive technical strategies that translate complex AI, Deep Learning and Machine Learning innovations into tangible business impact. We are seeking a candidate with a strong technical foundation and a proven ability to deliver high-quality, end-to-end AI solutions. You are passionate about tackling challenging AI problems, fostering collaboration across product and research teams, and empowering your team to build products that make a meaningful, real-world difference. This US-based role can be remote or based out of our New York City office.

AI Innovation at Dataminr 

Working at Dataminr you’ll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold.

Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here.

Agentic AI: we recently launched our Agentic AI capability, what we’re calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what’s happening on the ground. Learn more here

Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here.

The opportunity

• Oversee all technical aspects of how different AI models’ outputs impact the quality of content produced by our AI platform. This includes working with PMs and different parts of the business to define proper performance requirements for different Deep Learning and Machine Learning models. 

• Work closely with scientists, engineers, and product managers to drive and deliver state of the art solutions at scale in multiple areas relevant to real-time detection of events in public data sources (NLP, CV, IR, Knowledge Graphs, etc).

• Define and track quality and cost metrics for models as well as for their integrated end-to-end performance in relation to key business goals.

• Hands-on modification of workflows, evaluations, and outputs of models.

• Lead other engineers and scientists, directing changes to technical approaches.

• Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice, and have significant impact.

What you bring
At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. 6 Bullets max 

• Strong technical background required: graduate degree in Computer Science or Electrical Engineering.

• At least 7 years of industry experience as a software engineer in a cloud-native environment (AWS, Kubernetes).

• At least 5 years experience leading software engineers in an AI team.

• Experience with deep learning frameworks, LLMs, agent harnesses, compound AI systems (PyTorch, Langfuse, LangGraph, Weaviate, A2A, etc)

• Hands-on experience in developing and deploying Machine Learning/Deep Learning/LLMs at large scale in NLP, CV, IR, or a related field, preferably in a real-time setting.

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