Vice President - Engineering

Description:

The core responsibilities for the job include the following:

Strategic Leadership:

- Translate the CEO's vision and business strategy into engineering outcomes.

- Own the technology roadmap with a view toward innovation, scalability, and long-term impact.

- Drive a future-ready mindset by embedding AI-readiness into architecture, infrastructure, and team skills.

- Champion a culture of engineering excellence, balancing speed and quality, with clarity around technical debt and ROI.

AI and Innovation Enablement:

- Identify opportunities to leverage AI/ML across the product and services spectrumfrom workflow automation to content enrichment and decision intelligence.

- Evaluate build-vs-buy decisions related to AI capabilities and infrastructure.

- Partner with the CTO and Product teams to ensure responsible, scalable, and measurable AI adoption.

Delivery and Operational Excellence:

- Ensure reliable, timely, and high-quality delivery of engineering projects.

- Lead the adoption of DevOps, CI/CD, and quality automation best practices to improve release velocity and reduce downtime.

- Measure what matters: implement and track engineering KPIs aligned with business OKRs.

Talent Development and Org Design:

- Build and grow a high-performance, psychologically safe engineering organization.

- Mentor engineering managers, support their career development, and ensure healthy succession pipelines.

- Develop scalable systems for hiring, onboarding, promotions, knowledge sharing, and performance management.

Stakeholder and Financial Accountability:

- Collaborate with Product, Design, Customer Success, and Business teams to align priorities and dependencies.

- Own engineering budgets, vendor decisions, and optimize cost-performance ratios across cloud infrastructure and toolsets.

- Regularly report to the leadership team and board on engineering health, strategy progress, and resourcing needs.

Requirements:

- 10+ years of experience in engineering roles, including 4+ years in engineering leadership positions.

- Proven track record in leading cross-functional agile teams, delivering B2B SaaS products.

- Deep understanding of cloud-native architectures, modern development ecosystems, and infrastructure-as-code.

- Demonstrated success in evaluating, implementing, or integrating AI/ML capabilities in product or service environments.

- Strong grasp of product thinking, with the ability to co-own outcomes with Product Management.

- Hands-on experience in both front-end and back-end systems (Node.js, Python, XML, etc.) preferred.

- Excellent interpersonal and stakeholder communication skills.

- Demonstrated ability to hire, grow, and retain engineering talent in a scaling organization