You must be 18 years or older
You must have a high school diploma or equivalent
Jira and Jira Align experience; Epic conditioning, capacity planning, sprint progress, program and team dependency and risk tracking and program status reporting
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
Proven track record of leading and executing on critical business initiatives on-time and within budget
Proven experience in Data Center Extension and hybrid cloud architecture design
Ability to understand technical requirements of projects and effectively manage resources, vendors and test efforts
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
Bachelor's Degree and 10+ years of Technology experience or equivalent leadership program experience or in lieu of degree, High School/GED and 15+ years of IT experience
Experience and knowledge working in SAFe (Scaled Agile Framework)
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

SmartExplore AI is experimental.

New, Posted 1 day ago

Apply Directly

Fuel Associate

Wawa

Garfield, NJ 07026

~ 28 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Must be 16+ years old with reliable transportation.

SmartExplore AI is experimental.

New, Posted 3 hours ago

Apply Directly

Senior Product Manager, Cloud Software Defined Networking (SDN)

Capital One

New York, NY 10012

Urgently HiringHealth Insurance

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
At least 5 years of experience working in Product Management
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

SmartExplore AI is experimental.

New, Posted 19 hours ago

Apply Directly

Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10007

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

AI/ML applications for workflow automation, data validation, and operational excellence
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
API-first platform design and developer experience best practices
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
An advanced degree is a plus
Ability to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
Demonstrated strength in partnership-building and cross-functional collaboration
Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
Alpha generation workflows or closely related quantitative research processes in finance/investments
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology