{"id":3748195,"url":"https://alion.io/job/valis-head-of-engineering","title":"Head of Engineering","company":{"id":4461486,"name":"Valis","domain":"valis.so","url":"https://alion.io/company/valis-5","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","CY","NL","PT"],"hiring_countries_total":6,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Asana","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Cloudflare","optional":false},{"name":"DuckDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Google Workspace","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"Slack","optional":false}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-10T15:39:20Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"About us\nWe are Valis - a company building an institutional AI operating layer for mid-market companies: shared company memory, workflow mining and agentic automation.\nWhy this role exists\nWe are hiring a CTO-level engineering leader. We need a strong person, able to own a major part of the technology from architecture through production, build their own team, and speak with clients at C-suite level.\nWhat you will do\nPlatform architecture and engineering\n- Own the architecture of the org brain and personal brain: data ingestion, knowledge storage, retrieval, agents, and integrations with Claude and other LLMs.\n- Write code yourself where it matters most. This is a hands-on role, not only a management one.\n- Design access control so each user sees only data from their own area. You will also own data retention and deletion, GDPR compliance, and multi-tenancy.\n- Build MCP servers and connectors to company systems (Slack, Google Workspace, Asana, HRIS, DWH, ERP), and bring them to the point where clients can use them self-service.\nDeployments\n- Lead complex technical conversations\n- Own the technical side of deployments\n- Turn what works for one client into a product, so the same custom work is not repeated.\n- Be the final technical escalation point for your area.\nInfrastructure, data and cost\n- Cloud infrastructure (AWS/GCP, Cloudflare), CI/CD, observability and security.\n- The data stack: data warehouse (Redshift, MotherDuck/DuckDB), ETL, and large-scale migrations.\n- Platform costs: token and inference spend, subscriptions, and vendor negotiations.\nTeam\n- Hire people, develop them, and let them go when needed. Hire people stronger than yourself.\n- Build an engineering culture where the team owns outcomes and needs little day-to-day management.\n- Use AI agents such as Claude Code as your main working tool, and make them the team's main tool too, not an experiment.\nRequirements\nMust have\n- 10+ years in software engineering, including 4+ years as CTO, VP Engineering, Head of Engineering, or Principal/Staff Engineer at a product company or a strong startup.\n- A track record of building systems from zero to production with real users and real load. You must have built them yourself, not only led the teams that did.\n- Deep hands-on experience running LLMs in production: agents, RAG, tool use and MCP, evals, and cost control. We are looking for real deployments, not pilots.\n- Strong backend architecture and data engineering: distributed systems, integrations, data stores, security and access control.\n- Experience managing an engineering team, including hiring and firing.\n- The ability to explain a technical decision to a client's non-technical executives and win their support for it.\n- Fluent English.\nNice to have\n- Good working knowledge of RU language\n- Experience in B2B SaaS, enterprise deployments, or forward-deployed engineering\n- Experience with company data: HRIS, ERP, finance, organisational structure.\n- A strong personal AI productivity setup.\nBenefits\nWe offer competitive base, performance-based bonus, and the opportunity to join the team during fast growth.\nWe appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. 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