# Dataminr — Senior Director, AI Engineering

- Generated: September 7, 2026 at 4:52:51 PM EDT
- Original/canonical posting: https://dataminr.wd12.myworkdayjobs.com/en-US/Dataminr/job/Senior-Director--AI-Engineering_JR2086-1
- Jobright source: https://jobright.ai/jobs/info/6a739a4d8cd88e7ccbf596e7
- Posted: September 1, 2026 at 1:17:50 PM EDT
- Elapsed since posting at generation: 6 day(s), 3 hour(s)
- Valid through: October 1, 2026 at 1:17:50 PM EDT
- Applicants: Not disclosed
- Work model/location: Remote within the United States or New York, NY
- Employment type: FULL_TIME
- Compensation: $229,600–$337,000 base salary
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: BORDERLINE — 75%

## Direct-match strengths

AI engineering leadership, AWS and Kubernetes, production LLM/RAG/agent systems, evaluation, knowledge graphs, distributed systems, and hands-on engineering workflows.

## Hard or material gaps

Material depth gap: the central mandate spans research-stage and large-scale deep-learning systems across NLP, computer vision, information retrieval, and real-time intelligence. Keith has strong production NLP/LLM and knowledge-system evidence, but not direct CV/IR research leadership or the listed PyTorch/Weaviate/A2A stack. The graduate CS/EE requirement is treated as satisfied by extensive equivalent hands-on experience under the skill rule.

## Evidence map

1. AI engineering leadership — direct teams of 7 and 11 plus AWS technical communities totaling 180+ specialists.
2. Cloud-native AWS and Kubernetes systems — direct production evidence.
3. LLM, agentic, compound-AI, and evaluation workflows — direct AssistX evidence with LangGraph and RAG.
4. Knowledge graphs and NLP — direct AWS Neptune, UMLS, bioinformatics, RAG, and language-system evidence.
5. Model quality, cost, and integrated performance — direct/adjacent evaluation, observability, and operations evidence.
6. Large-scale real-time deep learning across NLP, CV, and IR — partial evidence; CV and research-depth ownership are unsupported.
7. PyTorch, Weaviate, A2A, and named research tooling — unsupported; TensorFlow and adjacent frameworks are supported.
8. Graduate CS/EE credential — accepted through extensive equivalent hands-on experience per the governing skill rule.

## Full normalized job description

Note: The job is a remote job and is open to candidates in USA. 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 role demands a leader who can bridge the gap between cutting-edge AI research and scalable product deployment, driving technical strategies that translate complex innovations into business impact.
Responsibilities
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
Skills
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
Benefits
Eligible to receive a discretionary bonus
Generous PTO and sick leave
Manager development programming
Professional development funds
Robust employee resource group (ERG) network
Variety of flexible work arrangements
Company Overview
Dataminr is a real-time AI platform that detects early signs of high-impact events and emerging risks. It was founded in 2009, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is http://www.dataminr.com.
Company H1B Sponsorship
Dataminr has a track record of offering H1B sponsorships, with 3 in 2026, 9 in 2025, 14 in 2024, 11 in 2023, 25 in 2022, 21 in 2021, 15 in 2020. Please note that this does not guarantee sponsorship for this specific role.

## Artifact metadata

- Resume: https://bit.ly/4cwePph
- Cover letter: https://bit.ly/4xMcgIa
- Override: Keith explicitly requested generation despite the 75% BORDERLINE disposition.
- Validation: PASS — 2-page resume (936 words), 1-page cover letter (249 words); PDF geometry, annotations, bounds, and links verified.
- Google Drive used: No