Vice President of Engineering

Posted 2024-10-21

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💎 Seniority level: Vp

📍 Location: United States

💸 Salary: 220000 - 300000 USD per year

🔍 Industry: Financial services / AI solutions for banks and credit unions

🏢 Company: Interface AI

🪄 Skills: LeadershipMachine LearningQAProduct DevelopmentStrategyAlgorithmsData science

Requirements:

Deep knowledge and experience in B2B Enterprise SaaS.
Experience managing hyper-growth in B2B companies.
Strategic mindset to solve business and technical challenges.
Proficiency in modern tech stacks and frameworks.
Strong interpersonal skills for collaboration.
Proven ability to inspire and align large teams.
Track record of building and coaching high-performing teams.

Responsibilities:

Serve as a thought leader and strategy driver for the technology roadmap.
Formulate long-term strategy for technological development and product plans.
Collaborate with Product Managers and Developers to deliver new products.
Manage overall core technology and implement major technical decisions.
Work with teams to understand product vision and requirements.
Build and manage a team of software engineers, QA, and analysts.
Develop long-term strategy and actionable plans.
Ensure successful execution of projects and commitments.
Foster a culture of excellence and performance within the organization.

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🔥 Senior Vice President of Engineering

Posted 2024-10-21

📍 United States

💸 240000 - 310000 USD per year

🔍 Banking and Financial Services

🏢 Company: Interface AI

Seasoned leader with experience in Engineering & Data Science.
Deep knowledge of the B2B Enterprise SaaS domain.
Experience managing complexity in high-growth B2B environments.
Strategic thinking with a problem-solving approach.
Familiarity with modern technology stacks and frameworks.
Strong skills in team building, coaching, and development.

Serve as a thought leader and strategy driver for the technology roadmap.
Formulate long-term strategy for technological development and product layout.
Work closely with product managers and developers on product enhancements.
Manage core technology and implement major technical decisions.
Build and manage a high-performance engineering team.
Develop long-term strategies and actionable roadmaps for programs.
Monitor performance against objectives and implement quality processes.

LeadershipMachine LearningQAProduct DevelopmentStrategyAlgorithmsData science

Posted 2024-10-21