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Valis

AI-powered enterprise OS for data integration

Head of Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in PortugalRemote

About the Job

Requirements

  • At least 10 years of software engineering experience, including at least 4 years as a CTO, Vice President of Engineering, Head of Engineering, or Principal/Staff Engineer at a product company or strong startup.
  • A track record of personally building systems from zero to production with real users and real load.
  • Deep hands-on experience running large language models in production, including agents, retrieval-augmented generation, tool use and MCP, evaluations, and cost control; real deployments rather than pilots.
  • Strong backend architecture and data engineering experience, including distributed systems, integrations, data stores, security, and access control.
  • Experience managing an engineering team, including hiring and firing.
  • Ability to explain technical decisions to a client's non-technical executives and gain their support.
  • Fluent English.

Responsibilities

  • Own architecture of the org brain and personal brain, including data ingestion, knowledge storage, retrieval, agents, and integrations with Claude and other large language models.
  • Write code personally where it matters most; this is a hands-on role, not solely a management role.
  • Design access control so each user sees only data from their own area, and own data retention and deletion, GDPR compliance, and multi-tenancy.
  • Build MCP servers and connectors to company systems, including Slack, Google Workspace, Asana, HRIS, data warehouses, and ERP systems, and make them self-service for clients.
  • Lead complex technical conversations.
  • Own the technical side of deployments.
  • Turn successful client-specific work into product capabilities to avoid repeating custom work.
  • Serve as the final technical escalation point for the area.
  • Own cloud infrastructure, including AWS/GCP and Cloudflare, CI/CD, observability, and security.
  • Own the data stack, including data warehouses such as Redshift and MotherDuck/DuckDB, ETL, and large-scale migrations.
  • Manage platform costs, including token and inference spend, subscriptions, and vendor negotiations.
  • Hire, develop, and dismiss team members.
  • Build an engineering culture where the team owns outcomes and needs little day-to-day management.
  • Use AI agents such as Claude Code as a primary working tool and make them a primary team tool.

Desired Qualifications

  • Good working knowledge of Russian.
  • Experience in B2B SaaS, enterprise deployments, or forward-deployed engineering.
  • Experience with company data, including HRIS, ERP, finance, and organisational structure.
  • A strong personal AI productivity setup.

About the Company

Valis

AI-powered enterprise OS for data integration

Valis builds an AI-powered operating system for enterprises called a Company OS that unifies data from a company’s tools—email, calendars, documents, task managers, CRM, ERP, and financial apps—into a single data source. It ingests and stores this data under customer-controlled rules and infrastructure, then uses it to generate answers with verifiable sources, morning briefings, and recurring management reports. The platform stands out by offering deep configurability and governance, letting customers choose data sources, AI providers, data retention, and user access models to keep data under their control. Its goal is to help large organizations turn dispersed data into actionable, source-backed insights and automated reports that improve decision making and productivity without sacrificing data sovereignty.

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