AI Operational Productivity Engineer

About OpenVPN:

OpenVPN is a globally recognized leader in secure networking solutions, providing cutting-edge VPN and cybersecurity services that enable businesses and individuals to connect safely and privately. With a strong commitment to innovation, transparency, and trust, OpenVPN empowers organizations worldwide to build resilient, secure digital infrastructures.

We are now extending this philosophy internally, using AI to transform how our teams design, operate,
and scale our Cipherscale product line.

The Role

We are looking for an AI Operational Productivity Engineer to lead AI-driven operational
transformation across Cipherscale. This is a hands-on engineering + systems role, not a research or advisory position.

We already use internal GPTs and AI agents across Recruitment, Product, Architecture, and
Operations. These systems work—but they are fragmented, early-stage, and owned by very
busy team leads, and we now need a dedicated owner to turn AI from isolated tools into a
cohesive operational system.

Important: This will be a permanent employment opportunity for candidates based in Spain, Germany, and Poland.

Our philosophy is that we are a small, closely-knit team, and we care deeply about you:

Competitive pay rates
Fully remote work environments
Permanent employment with benefits
Background in Software Engineering with any programming language
Strong hands-on experience with LLMs / GPT-based systems and custom-made AI Agents using leading models and tools (Cursor, OpenAI, Gemini, Claude)
Proven ability to build AI workflows or agents used in real operations, either custom-made or using tools like Zappier or N8N
Experience translating complex operational problems into structured AI solutions
Strong written and structured thinking
Ability to work cross-functionally with technical and non-technical teams
High ownership mindset: you build, ship, refine, and maintain

Recruitment process:

Interview with a recruiter (~45 min)
Technical interview with Lead Backend Engineer (~45 min)
Final interview with Director of Engineering&PM and Technical Project Manager (~45 min)

What You’ll Do
You will design, build, and scale AI agents, internal GPTs, and AI-powered workflows that
Reduce operational friction across all departments (Engineering, Product, Project, HR, BI, Marketing & Sales)
Accelerate decision-making
Encode domain expertise into reusable systems
Increase productivity without compromising security or control
AI-Native Operations Engineering
Build and maintain internal GPTs and AI agents used across Recruitment & talent operations, Product management & discovery,
Product vision & roadmap planning, Architecture & technical decision-making, Project Management & BI
Design intent-based workflows where teams interact with systems using natural language
Turn complex operational logic into AI-assisted, repeatable processes
Operational Productivity & Scale
Identify high-impact productivity bottlenecks across Cipherscale
Replace manual, error-prone workflows with AI-driven automation
Measure impact (time saved, errors reduced, adoption)
AI Governance, Quality & Security
Define standards for Prompt architecture, Agent reliability, Versioning, and documentation
Ensure internal AI systems align with Cipherscale’s Security-first mindset, Ownership of data communications, Compliance, and control principles
Cross-Functional Enablement

Partner with team leads across Engineering, Product Management, Project Management, Operations & HR:

to capture tribal knowledge,
to encode best practices into AI systems
to reduce dependency on individual experts,
to enable teams to work with AI effectively, not just “use tools.”