Senior Engineering Manager
JellyfishSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software Development, Data & AnalyticsIndustries
Requirements
The Senior Engineering Manager is expected to have extensive experience building web platforms, including UI frameworks, APIs, application infrastructure, and toolchains for data-intensive customer experiences. Demonstrated experience in developing and productionizing AI applications is highly desirable, along with a Bachelor's or Master's degree in Computer Science or 7+ years of relevant experience. Excellent communication and interpersonal skills, including the ability to interface and partner with various levels of the organization, are required. Prior management and leadership experience, with a focus on growing, mentoring, and developing a team effectively, is also necessary.
Responsibilities
As a Senior Engineering Manager, you will build and lead a team of engineers by hiring, coaching, and mentoring. You will partner with Product, Design, and Engineering teams to plan, develop, and deliver solutions on time. You will implement a balanced technical roadmap that ensures modernization and future platform growth, while cultivating a thriving culture that promotes innovation and brings others along. Furthermore, you will be an active role model in the organization and partner with other leaders to drive positive change.
Skills
Team Leadership
Engineering Management
Application Development
Cross-functional Collaboration
AI Technologies
Generative AI
Multimodal Data Processing
Platform Modernization
Mentoring
Technical Roadmap Planning
Dataminr
Real-time AI for risk detection and alerts
About Dataminr
Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.
Key Metrics
New York City, New YorkHeadquarters
2009Year Founded
$1,023.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
501-1,000Employees