Vice President, Software Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and lead the long-term engineering vision, strategy, and roadmap.

• Collaborate with executive leadership (CTO, Product, Sales, and Sales Ops Leaders) to align technology initiatives with business goals.

• Assess emerging technologies (Generative AI, Agentic AI, LLMs, MCP, automation platforms) and convert them into quantifiable business value.

• Spearhead technology transformation, modernization, and innovation initiatives.

• Oversee the complete software development lifecycle (SDLC), including architecture, development, testing, release, and operations.

• Ensure the delivery of high-quality, scalable, secure, and reliable software systems.

• Establish and monitor engineering KPIs (velocity, quality, uptime, cost efficiency).

• Create an AI-first software engineering framework that utilizes GenAI-assisted development, intelligent testing, code generation, documentation, and deployment automation to enhance developer productivity and software quality significantly.

• Drive architectural decisions, platform strategy, and technology standards.

• Ensure the adoption of modern engineering practices (cloud-native, microservices, DevOps, CI/CD, AI integration where applicable).

• Balance build versus buy decisions to optimize technology investments.

• Collaborate closely with Product Management to provide customer-focused solutions.

• Partner with sales and sales ops teams to gather customer feedback and enhance customer satisfaction.

• Work with Security, Infrastructure, Data, and Operations to ensure integrated delivery and governance for responsible AI.

• Align with finance and business leaders on budgeting and ROI for investments.

• Establish governance, processes, and best practices for engineering operations.

• Improve engineering productivity, quality, and predictability.

• Manage budgets, vendor relationships, and external partnerships.

• Build, lead, and scale high-performing engineering teams across diverse disciplines while nurturing an AI-first culture that emphasizes continuous learning and upskilling.

• Recruit, mentor, and retain top engineering talent while ensuring succession plans and leadership pipelines are in place.

⛳️ Requirements

• 15+ years of software engineering experience, including at least 5+ years in senior leadership roles.

• Proven experience in leading distributed engineering teams in the US and internationally.

• Demonstrated ability to deliver complex, enterprise-scale or high-growth SaaS platforms with high availability, scalability, and performance (SLA & RTO).

• Experience in developing AI-enabled customer-facing products or integrating AI capabilities into enterprise applications.

• Proven track record in setting up frameworks that establish delivery predictability and improve cycle times.

• Strong foundation in modern software architectures (AWS, APIs, MCPs).

• Proficiency in DevOps, CI/CD pipelines, and agile methodologies.

• Understanding of Generative AI, LLMs, AI application architecture, integrating AI services, and responsible AI practices/governance.

• Experience in B2B frontend UI, backend microservices, and batch job development.

• Knowledgeable in REST, Node.js, React, Python, Terraform, and AWS RDS.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (MBA preferred but not mandatory).

🏝️ Benefits

• Comprehensive executive-level total rewards package.

• Flexible time off, including unlimited vacation, volunteer time off, and 12 paid holidays.

• Core benefits that include medical, dental, vision, and matching 401K.