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Чётко описанная руководящая роль в продуктовой компании с действующей выручкой и реальным влиянием на платформу; при этом процессы и системы придётся выстраивать самому, параллельно управляя командой.
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Текст:
Hirify AI/Оригинал
TL;DR
Head of Engineering (AI) (AI Spatial Engine/data platform): Leading day-to-day engineering for a location intelligence platform that combines Nordic data sources with customer portfolio data with an accent on reliability, scalability, and data quality. Focus on building engineering practices, proving data ingestion systems, shaping the platform and API vision, and remaining hands-on with full-stack development.
Location: Hybrid from Helsinki; candidates must be based in or willing to work hybrid from the Helsinki region.
Salary
Competitive salary and equity.
Company
hirify.global turns complex location data into decision-ready intelligence for real estate and business leaders by combining 40+ Nordic data sources with customer portfolio data through the hirify.global AI Spatial Engine.
What you will do
Lead day-to-day engineering and take ownership of delivery, team health, execution, and technical priorities.
Build engineering practices covering code review, test coverage, deployment discipline, and clear ownership across core systems.
Take direct technical ownership of live enterprise engagements and work closely with existing engineers.
Own platform performance end to end and improve reliability and scalability.
Prove data ingestion and data quality systems as a core business differentiator.
Partner with product and commercial stakeholders on customer adoption and contribute to the longer-term platform and API vision.
Requirements
Senior engineering leadership experience as a Head of Engineering, Engineering Manager, or in a similar role at an early-stage or growth B2B SaaS company.
Hands-on experience writing or reviewing code directly.
Experience bringing reliability, ownership, and process discipline to a maturing engineering organization.
Ability to participate in technical conversations with investors and in due-diligence contexts without owning those relationships.
Full-stack fluency, including React/TypeScript and Python or Node.js.
Experience with relational and spatial databases such as PostgreSQL/PostGIS.
Effective communication, collaboration, and stakeholder engagement skills.
Fluent English.
Based in or willing to work hybrid from the Helsinki region.
Nice to have
Working knowledge of ML concepts and experience integrating AI capabilities into products.
Experience with spatial or geospatial data, data pipelines, or similarly complex data domains.
Hands-on experience with GCP or an equivalent cloud platform, CI/CD, and Agile/Scrum delivery.
Familiarity with agentic AI interfaces such as MCP or similar technologies.
Culture & Benefits
Hybrid work from Helsinki on a small, focused team.
Real ownership over engineering organization design and technical decisions.
Opportunity to shape a growing product and platform from an early stage.
Competitive salary and equity.
Hiring process
Applications accepted from 02.09 to 27.09.2026.
Applicants are encouraged to include a short example of turning a messy early engineering situation into a solid one.
Additional questions can be directed to Valeri Tsatsishvili.
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