Vp engineering Jobs in USA

VP Engineering

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.

As VP Engineering, you will serve as a senior technical and organizational leader, helping to scale Fetcherr's data-driven products and engineering capabilities. This is a hybrid role combining technical authority, strategic vision, and operational excellence. You will co-lead the R&D organization, work directly with customers, and be instrumental in shaping cross-functional, product-focused engineering teams.

We're looking for a leader who's both visionary and hands-on, able to drive execution, foster innovation, and build high-performance engineering cultures at scale.

Responsibilities:

Strategic & Technical Leadership

• Act as a senior technical authority in data architecture, analytics, monitoring, and system design.
• Report to the CTO and collaborate with Sr. peers to define and execute the company's technical roadmap.
• Drive execution, innovation, process improvement, and change management across engineering and data science teams.
• Scale the R&D team in line with Fetcherr's rapid growth.
• Drive the effective usage of state of the art AI tools for improving productivity and scaling the team capabilities.

Engineering & Operational Excellence

• Design and refine engineering processes to improve reliability, velocity, and quality.
• Champion data quality, validation, and analytics engineering practices.
• Deliver the commitments according to customer requirements and timelines.
• Drive productivity and quality, also through the best practice leverage of AI tools and agentic coding.

Customer & Product Alignment

• Serve as a technical interface to product management, understanding the customer needs and translating them into product development execution and technical strategies.
• Represent R&D in customer discussions, guiding prioritization and product development with a real-world impact lens.

People & Culture

• Lead a local team while collaborating with remote and distributed teams, fostering alignment, engagement, and accountability.
• Promote a collaborative, analytical and data driven, hands-on culture across engineering, data science, and product.
• Partner closely with product and data stakeholders to deliver scalable, production-grade AI solutions.

Requirements:

Leadership & Management

• 2+ years managing team leads in a VP role.
• Experience growing R&D teams at a startup or high-growth tech company.
• Proven ability to lead cross-functional teams.
• Proven ability to align with other teams in the R&D organization, especially remote teams.

Technical Depth

• Strong background in data engineering, analytics and data science.
• Proven experience in cloud-native architectures (preferably GCP).
• Experience in scaling systems, improving CI/CD.
• Big plus: working with ML or real-time data products.

Communication & Influence

• Ability to motivate, mentor, and grow high-performing teams, promoting accountability and extreme ownership throughout the teams.
• Strong communicator who can align technical and business stakeholders.
• Excellent English skills (spoken and written) able to clearly communicate with global teams, customers, and leadership.
• Comfortable engaging directly with customers, partners, and executives.

Mindset & Approach

• Hands-on and detail-oriented, with a "roll up your sleeves" attitude.
• Strategic thinker who can balance short-term wins with long-term scalability.
• Passion for building impactful, AI-driven products.