VP, Engineering

• Own the engineering toolchain as the platform for how work gets done: CI/CD pipelines, release infrastructure, error tracking, and the agentic development environment your team operates within
• Lead the org's transition to AI-assisted and agentic development practices, defining where and how AI agents participate in the development lifecycle, from code generation to testing to deployment, and where engineers stay in the loop

• Lead the design and delivery of AI and agentic capabilities within the products: systems that monitor, reason, and act on behalf of users
• Prototype and build proof-of-concepts directly to validate ideas and set direction for the team
• Build engineering practices around LLM integration, agentic workflows, and AI-driven automation at the product level
• Develop team-wide judgment on where AI systems operate autonomously and where human review is required, and design products accordingly

Note: this is an active and required capability for this role. Candidates should have shipped something in this space, not just a point of view about it.

• Lead and develop 30+ engineers organized across: Backend Engineering, Full Stack Engineering, Data Engineering, Infrastructure and DevOps, QA and Architecture
• Grow engineering leads into accountable, autonomous owners with strong technical judgment
• Build a culture of product engineering — where engineers own outcomes, operate with high autonomy, and are accountable to users and business results, not delivery processes.
• Build a high-trust, async-first operating culture across a fully distributed, Ukraine-based team

• Partner with Product, Data Science, Design, and Commercial leadership as a full peer in executive discussions
• Communicate engineering strategy and status clearly to the CPTO, CEO, and board when required
• Proactively surface risks, decisions, and opportunities across the organization

• 8+ years in engineering leadership, with meaningful time at the VP level or equivalent scope
• Experience at a product-led company, with a track record of owning outcomes across the full software lifecycle
• Experience leading and developing distributed engineering teams within a global organization
• Familiarity with the operational realities of multi-product platforms: shared infrastructure, competing priorities, and the tradeoffs that come with scale, including the legacy systems that are part of any platform that has been in production for years

• Demonstrated experience shipping products where AI or agentic systems are in the critical path
• A clear point of view on how to design products around AI capabilities responsibly and effectively
• Ability to prototype and build directly, and to use that work to lead the team technically

Our stack includes: Ruby, Go, TypeScript, Python, React, Next.js, Databricks, PostgreSQL, AWS, Kubernetes, and GitHub Actions. TypeScript and Next.js are central to the product roadmap and hands-on familiarity with both is expected. The ability to reason well about systems and lead credibly across a broad technical surface matters more than deep experience in every layer of the stack.

• Business-level written and spoken English is required. This role involves direct participation in English-language executive discussions, partner conversations, and external communications.
• Clear, precise, and proactive communication across all levels of the organization

• Proactive and systems-oriented: you identify what needs attention and act
• Hands-on: you contribute through prototypes, design documents, and architectural review
• A member of the executive team first, with a remit that extends beyond the engineering organization