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Open nowPosted 8 hours ago

Vice President of Engineering

Jobgether4,044 open roles

Where
US
Work mode
Remote
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Your applicationOpen nowVice President of EngineeringJobgether · US

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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: posted 8 hours ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Vice President of Engineering based in the United States.

The Vice President of Engineering will provide strategic and technical leadership for globally distributed software engineering teams, driving the development of scalable, high-performance SaaS products. Working directly with the Chief Technology Officer and fellow engineering leaders, this player-coach will shape technical architecture, strengthen engineering practices, and ensure reliable delivery across core product initiatives. The role focuses on cloud-native systems built on AWS, modern web technologies, and the adoption of AI-powered development tools to improve productivity and software quality. The successful candidate will build strong teams across international time zones, establish measurable performance standards, and foster a culture of ownership, collaboration, and continuous improvement. Partnering closely with Product, Data Analytics, and Customer Success, they will align engineering priorities with customer needs and business growth. This is a remote leadership opportunity in a fast-paced, evolving technology environment where technical excellence and execution are equally important.

Accountabilities

  • Lead global engineering teams: Manage, mentor, and develop distributed software engineering teams across multiple regions, including teams based in India, while fostering a high-performance, inclusive culture and effective collaboration across time zones.
  • Develop engineering talent: Recruit and retain strong technical professionals, coach engineering managers and technical leads, and establish clear career development and progression pathways.
  • Drive AI-enabled development: Champion the adoption of AI-assisted coding, automated test generation, AI-supported code reviews, and related development workflows to improve engineering velocity, code quality, and developer productivity.
  • Own technical strategy and architecture: Define the architectural vision for assigned product areas, ensuring applications are scalable, secure, maintainable, and cost-efficient within AWS cloud-native environments.
  • Promote engineering excellence: Establish and reinforce best practices for software design, code reuse, automated testing, performance optimization, and technical debt management.
  • Strengthen cloud and delivery infrastructure: Partner with platform and infrastructure leaders to align software architecture with cloud services, deployment processes, and company-wide CI/CD pipelines.
  • Establish effective engineering operations: Define and maintain the team's operating model, including sprint planning, estimation, release schedules, code reviews, branching strategies, deployment practices, and quality standards.
  • Measure and improve performance: Develop and report on engineering metrics covering delivery speed, deployment frequency, lead time, change failure rates, recovery times, defect rates, test coverage, predictability, and team health.
  • Lead continuous improvement: Facilitate retrospectives, post-incident reviews, and regular process assessments, translating findings into prioritized improvement initiatives with measurable outcomes.
  • Evaluate AI adoption: Measure how AI development tools affect delivery speed, code quality, and developer experience, using results to refine implementation strategies and team guidance.
  • Balance competing priorities: Work with Product leadership to allocate capacity across feature development, technical debt reduction, and operational responsibilities while making informed roadmap trade-offs.
  • Align engineering with business goals: Collaborate with Product Management, Data Analytics, and Customer Success to coordinate technical roadmaps, feature releases, and user experience priorities.
  • Build consistency across engineering leadership: Partner with fellow engineering executives to establish shared standards, technical frameworks, and cross-team processes.
  • Manage external technology partnerships: Oversee relationships with software vendors, specialized technology providers, and outsourced engineering resources to support scalable product development.
  • Optimize Agile delivery: Continuously refine development processes to reduce friction, improve predictability, and accelerate the delivery of reliable, high-quality software.
  • Extensive engineering experience: 12+ years of progressive software engineering experience, including at least five years in senior engineering leadership roles managing engineering managers and cross-functional teams.
  • Ruby on Rails expertise: Seven or more years of hands-on experience with Ruby on Rails patterns, application performance tuning, or scaling legacy and modern Rails applications is a strong plus.
  • Asynchronous architecture experience: Seven or more years of hands-on experience with asynchronous processing and architectures.
  • Remote team leadership: At least five years of experience working in and managing fully remote engineering teams.
  • High-growth technology background: Proven experience in SaaS or web-based startups, with the ability to operate effectively in fast-paced environments that demand adaptability, ownership, and rapid execution.
  • Global team management: Demonstrated experience leading international engineering teams, with strong cross-cultural communication and distributed-team management skills.
  • Executive collaboration: A strong record of working with peer engineering leaders and senior stakeholders to deliver technical and business objectives under executive direction.
  • AWS and cloud architecture: Deep expertise in building, deploying, and scaling applications hosted on Amazon Web Services (AWS).
  • AI-driven engineering practices: Practical experience implementing AI-powered development tools and encouraging engineering teams to adopt solutions such as Claude Code to improve workflows and output.
  • Full-stack technical foundation: Strong knowledge of modern web architectures, databases, API design, microservices, and core web protocols, including REST, JSON, OAuth, and SSL.
  • Engineering process and metrics: Ability to establish scalable development practices, define meaningful performance indicators, and use data to guide continuous improvement.
  • Leadership and communication: Excellent mentoring, stakeholder management, and communication skills, with the ability to align technical teams and business partners around shared priorities.
  • Adaptability and prioritization: Ability to manage multiple time-sensitive initiatives simultaneously, make sound decisions with minimal guidance, and balance short-term delivery with long-term technical health.
  • Remote work: Fully remote position based in the United States, with experience managing distributed teams central to the role.
  • Senior leadership opportunity: Shape engineering strategy, architecture, team development, and delivery practices across a growing technology organization.
  • AI and innovation focus: Lead the adoption of modern AI-powered engineering tools and workflows to improve productivity and software quality.
  • Technical ownership: Influence cloud architecture, scalable SaaS products, engineering standards, and long-term technical direction.
  • Cross-functional collaboration: Work closely with executive leadership and teams across product, analytics, customer success, and infrastructure.
  • Global team leadership: Build and develop engineering talent across regions while establishing effective practices for remote collaboration.
  • Continuous improvement culture: Help establish measurable engineering processes that promote quality, accountability, learning, and sustainable delivery.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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