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Valis

AI-powered enterprise OS for data integration

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in CyprusRemote

About the Job

Requirements

  • Have at least 4 years of experience in a technical, client-facing role such as solutions engineering, sales engineering, technical account management, implementation or integration engineering, or backend/data engineering with direct customer work.
  • Have hands-on experience with integrations, including OAuth, service accounts, application programming interfaces, single sign-on, Google Workspace and Microsoft 365 administration, and access control.
  • Be comfortable working with SQL and a data warehouse, reading logs, and writing small scripts in Python or TypeScript.
  • Use large language model tools such as Claude, Claude Code, Model Context Protocol, and agents hands-on in daily work.
  • Be able to answer client IT or security leaders' questions precisely, including acknowledging when a capability is not yet available.
  • Be able to explain technical decisions to non-technical executives.
  • Take ownership of problems through resolution without being chased.
  • Be fluent in English.

Responsibilities

  • Join deal calls when the client involves IT, security, or legal stakeholders; first sales calls take place without this role.
  • Answer technical, security, and compliance questions using the trust pack and add each new answer to it.
  • Ensure claims accurately reflect what is certified versus in progress and what has shipped versus what is planned.
  • Run the technical questionnaire and maintain a client-specific table tracking whether each connector exists.
  • Obtain working access quickly, store credentials in 1Password with read-only and IP-locked access, and test each key on arrival.
  • Guide client IT through Google service account and Microsoft application setup; connect Slack, Google Workspace, Microsoft 365, the task tracker, HRIS, and data warehouse.
  • Record whether each deployment runs on a VALIS server or the client's own cloud.
  • Work through the client's data warehouse with support from the development team.
  • Agree on pilot scope with the GTM Director or Deployment & Advisory Director; a typical first week covers transcripts, notes, and sharing, with connectors still disabled.
  • Run installation sessions and keep the installation guide and FAQ current.
  • Check the client tenant before users arrive, including release version, tenant verification, and permissions.
  • Own each client support channel and respond within one working day.
  • Handle first-level support for installation, updates, operating-system permissions, and sign-in.
  • Handle second-level support by reproducing issues, collecting logs, and routing them to the appropriate product owner with a clear bug report.
  • Report adoption from the admin console to the GTM lead every week.
  • Turn repeated questions into FAQ entries and later into a support agent; provide field notes that inform the product roadmap.

Desired Qualifications

  • Have forward-deployed engineering experience with B2B SaaS or enterprise deployments.
  • Have experience with security questionnaires, SOC 2, ISO 27001, GDPR discussions, or vendor due diligence.
  • Have experience with company systems such as HRIS, ERP, CRM, or finance data.
  • Have experience supporting macOS and Windows desktop applications, including installation, permissions, and mobile device management.
  • Have good working knowledge of Russian.

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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