Vice President, Engineering
New
J
JobgetherSecurity & IT
Candidates must currently reside in DC, Illinois, Maryland, New York, or Virginia.Full-TimeVp
Salary200,000 USD per year
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Job Details
- Required Skills
- Artificial IntelligenceSoftware ArchitectureProduct DevelopmentData engineeringDistributed Systems
Requirements
- Significant experience leading software, platform, data engineering, or technology organizations in a hands-on senior leadership capacity.
- Practical experience building, deploying, and operating AI systems in production.
- Proven ability to define and execute technical roadmaps across multiple products or technology domains.
- Strong architectural expertise with complex, data-intensive systems, distributed systems, and modern cloud platforms.
- Demonstrated experience building and scaling AI products in production environments.
- Ability to engage deeply with technical details while maintaining a strategic, organization-wide perspective.
- Proven success hiring, developing, leading, and retaining high-performing engineering and technical teams.
- Strong executive presence with clear communication skills.
- Data-driven and outcomes-oriented approach with strong problem-solving skills.
- Ability to influence senior stakeholders and align cross-functional teams.
- Comfortable leading organizations through technological and cultural change.
- Bachelor’s degree or equivalent professional experience.
Responsibilities
- Serve as the senior technical voice within the leadership team, contributing to business strategy and organizational decisions.
- Own and evolve the technical roadmap across the core data platform and emerging AI products.
- Lead architecture and technology decisions while balancing speed of innovation with operational resilience.
- Operate as a player-coach by staying engaged with technical systems, trade-offs, and critical delivery challenges.
- Guide the organization toward AI-centric product development through modern tooling and workflows.
- Lead and integrate cross-functional teams across product, engineering, data, and AI.
- Recruit, develop, and mentor high-performing technical talent while establishing a strong engineering culture.
- Evaluate emerging technologies, partnerships, and internal adoption opportunities.
- Represent the organization externally as a technology and data science leader in customer and industry settings.
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