DescriptionAs
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.
RequirementsLeadership & 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.
