Job description

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 based out of our Arlington, VA or 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. Demonstrated track record of driving and delivering on multiple complex AI projects. Excellent communication skills. Deep understanding of research stages, and the ability to connect multiple complex technologies in end-to-end solutions. #LI-BM #LI-Hybrid About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr’s groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr’s platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150 languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world’s first real-time event detection platform, long before the recent Gen AI ‘boom.’ Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here . We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $229,600 - $337,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data in accordance with Dataminr’s candidate privacy notice available here . By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact recruiting dataminr.com or privacy dataminr.com . Notice Regarding Automated Employment Decision Tools in New York City

Requirements

Must-haves

See yourself at Dataminr
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 .
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 .
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.
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.
Demonstrated track record of driving and delivering on multiple complex AI projects.
Excellent communication skills.
Deep understanding of research stages, and the ability to connect multiple complex technologies in end-to-end solutions.

Nice-to-haves

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Keywords to mirror

aimachine learningawskubernetes

Platform: workday
Effort: long

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