Working at Helsing in 2026: Europe's $18B Defense AI Startup & What It's Really Like Inside

In mid-2025, an AI agent called Centaur piloted a Swedish Gripen E fighter jet through a beyond-visual-range combat scenario against a human pilot. It was the first publicly known instance of artificial intelligence controlling a fully operational military aircraft. The company behind it: Helsing, a Munich-based defense AI startup founded just four years earlier.

That moment captures what makes Helsing unusual — and polarizing. This is not a company building chatbots or optimizing ad clicks. Helsing builds AI for European defense and national security: real-time sensor fusion, autonomous drone systems, battlefield decision-making software. The mission is urgent, the engineering is cutting-edge, and the ethical questions are unavoidable. Whether you see that as inspiring or uncomfortable determines whether Helsing belongs on your shortlist.

We pulled data from Helsing's company profile, employee reviews, and public reporting to build an honest picture of what working there is actually like in 2026 — the talent density, the intensity, the compensation, and the trade-offs.

Helsing at a Glance

What jumps out: Helsing is a 700-person company valued at $18 billion. That ratio — roughly $25 million per employee — is extraordinary even by AI standards. For context, Anthropic sits at about $20M per employee, OpenAI at around $17M. It signals how much investor capital is flowing into European defense AI and how much Helsing's contracts with European militaries and NATO allies are worth.

The Mission: Why This Company Exists

Understanding Helsing's culture requires understanding why it was founded. Co-founder Gundbert Scherf spent years as a special advisor in the German Federal Ministry of Defense, where he helped establish the military's first information domain service. He saw firsthand how far European defense technology lagged behind both the US and emerging adversaries. Torsten Reil, with a background in AI and simulation (he previously founded NaturalMotion, acquired by Zynga), brought the technical conviction that modern AI could transform defense capabilities.

Their thesis: European democracies need sovereign AI capabilities for defense — not reliant on American tech companies, not built by defense contractors stuck in 1990s software practices. Helsing's tagline is “AI to protect our democracies,” and it's not just marketing. The company has contracts with the German, French, and UK militaries. Daniel Ek, Spotify's founder, chairs the company and led its €600M Series D in mid-2025 through his investment vehicle Prima Materia.

This mission attracts a specific type of engineer. Multiple reviewers describe the mission focus as “unparalleled” and the sense of purpose as “incredible and inspiring.” But it also means working on technology that kills people, and Helsing acknowledges this directly. The company says it encourages “healthy, proactive, and diverse debate internally about what the company does and how it chooses to do it.” Employees are expected to practice “responsible autonomy and critical thinking” about the ethical implications of their work.

Glassdoor Ratings Breakdown

Helsing's 3.9 overall rating from 40 reviews puts it in a respectable but not outstanding position among the companies in our Culture Directory. The pattern in the sub-scores tells the real story: compensation and career growth are strong, but the pace takes a measurable toll on work-life balance.

The 3.2 work-life balance score is among the lowest in our directory — only a handful of companies score lower. For comparison, Palantir scores 3.1 and Scale AI scores 3.0. This is a pattern common to high-growth defense and infrastructure companies where urgency is baked into the mission, not just the business model. When the customer is a military deploying AI in active theaters, “we’ll ship it next sprint” carries different weight than it does at a SaaS company.

The Career Opportunities score of 4.0 is notable for a company this young. At ~700 people, Helsing is still small enough that individual engineers can shape products, define technical direction, and move into leadership roles quickly. Multiple reviewers cite the ability to “shape their career path” as a standout benefit.

What Employees Actually Say

What employees love

The talent density theme is the most consistent signal across reviews. This is a company that hires from top AI labs, defense research institutions, and leading European tech companies. Engineers repeatedly describe colleagues as the best they've worked with. Combined with the mission urgency, it creates an environment where high-caliber people are solving genuinely novel problems — AI that operates in adversarial, safety-critical environments with real-world physical consequences.

What could be better

The tension between speed and quality is the most concerning pattern. Multiple reviewers describe a culture where shipping fast is prioritized over shipping correctly. For a defense AI company, this creates a particular kind of technical debt: software that operates in safety-critical, adversarial environments needs to be robust. The “move fast and break things” mentality that works at a consumer startup can have very different consequences when the software controls autonomous weapons systems.

The management critique is common among fast-growing European startups. Helsing has roughly tripled its headcount in two years. Scaling management talent to match engineering talent at that pace is hard, and several reviewers note that some managers were promoted based on technical skill rather than leadership ability.

Compensation & Benefits

Helsing pays competitively for the European market, and the 4.1 Glassdoor score for Compensation & Benefits confirms it. For a European defense tech company, this is strong — traditional defense contractors like BAE Systems and Thales typically lag significantly behind tech-company compensation.

Based on verified salary data, software engineers in Munich earn €80K–€150K+ in total compensation, depending on level and experience. UK-based engineers — particularly AI Research Engineers — report total compensation around £120K. The median total compensation across all roles sits at approximately $163K.

These numbers are below what US-based AI companies like Anthropic or OpenAI pay, but that comparison misses the point. In European context, Helsing pays at or above the top of the market. Munich engineers at comparable companies like Mistral or large incumbents like Siemens earn similar or lower total comp. The equity component is particularly significant given Helsing's trajectory from €12B to $18B valuation in under a year.

Where Helsing falls short, per reviews: benefits. Several employees note that benefits “can be better” and “not good enough.” For a company at this valuation, the expectation is premium healthcare, generous parental leave, and lifestyle benefits that match the intensity of the work. This is an area where Helsing trails behind more established tech employers.

Engineering Culture & Tech Stack

Helsing's engineering organization operates on a principle the company calls “empowered teams” — small, cross-functional teams given autonomy over zero-to-one innovation, with Agile practices reserved for iterating on established products. The distinction matters: Helsing recognizes that disruptive insights come from cross-functional collaboration, not from top-down roadmaps.

Tech Stack

The stack reflects the nature of the work. Python handles the ML/AI layer — model training, data pipelines, research experimentation. Rust is increasingly prominent for production systems where safety and performance are non-negotiable. The company developed Sguaba, an open-source Rust crate for strongly-typed coordinate system transformations that prevents accidental mixing of different reference frames — the kind of bug that, in a defense context, could mean a missile hitting the wrong target. C++ and Java appear in legacy integration and system-level components.

The engineering challenges are genuinely unusual. Helsing's AI systems must operate in contested electromagnetic environments, handle adversarial inputs from sophisticated state-level actors, fuse data from heterogeneous sensors in real time, and make safety-critical decisions with incomplete information. If you've been writing recommendation algorithms or optimizing conversion funnels, this is a fundamentally different class of problem.

How engineering works at Helsing

• Empowered teams, not feature factories. Small teams own problems end-to-end. Engineers are trusted to make architectural decisions and choose their approach. The flip side: with autonomy comes accountability, and the pace can be relentless.
• Research meets deployment. Unlike pure research labs, Helsing ships to real military customers. AI Research Engineers work alongside deployed AI engineers who take models from prototype to operational systems. The feedback loop from field deployment is fast and unforgiving.
• Cross-functional collaboration. Teams include AI researchers, software engineers, domain experts (often with military backgrounds), and product managers. The intersection of these perspectives is where Helsing's most innovative work happens.
• Security constraints. Working in defense means security clearances, classified projects, and limited ability to discuss your work publicly. Several reviewers mention the “limited public visibility” as a con. If you want to build a public profile through conference talks and open-source contributions, this is a real trade-off.

The Defense Tech Question

You cannot write honestly about Helsing without addressing the elephant: this company builds technology designed for warfare. The Centaur AI agent that flew a fighter jet in combat simulation is not a thought experiment — it's a product being developed for NATO air forces.

Helsing doesn't shy away from this. The company explicitly states its mission is protecting European democracies and argues that AI-enhanced defense capabilities are essential for deterrence. Employees describe an open internal culture where ethical debate is welcomed, not suppressed. But multiple reviewers still list the ethical dimension as a con — not because the company handles it poorly, but because the tension is inherent and never fully resolves.

For engineers coming from consumer tech or pure AI research, this is the most important question to answer before applying. The work is technically fascinating, the mission is consequential, and the compensation is strong. But you will be building systems whose ultimate purpose is to give one side a lethal advantage over another. Some people find this deeply motivating. Others find it disqualifying. Neither reaction is wrong.

Who Thrives at Helsing

Based on the culture signals, employee reviews, and the nature of the work:

• Mission-driven engineers who are comfortable with defense. The mission is the primary motivator for most Helsing employees. If European security doesn't resonate with you, the intensity of the work won't be worth it. If it does, the sense of purpose is hard to match anywhere else.
• People who want to solve novel, hard problems. Real-time sensor fusion in contested environments, adversarial ML, autonomous systems with safety-critical constraints — these problems don't exist at most tech companies. If you've been looking for technical challenges beyond ad tech and SaaS, Helsing has them.
• Self-starters comfortable with ambiguity. At ~700 people and hypergrowth, process is still catching up to reality. If you need clear career ladders, established mentorship programs, and well-defined promotion criteria, you'll be frustrated. If you thrive in environments where you define your own role, Helsing rewards that.
• Engineers willing to trade WLB for impact. The 3.2 WLB score is not accidental — it reflects a genuine cultural expectation of high commitment. If work-life balance is your top priority, companies like Notion, Linear, or PostHog are better fits.

Helsing is not ideal for engineers who want public recognition for their work (security constraints limit external sharing), those uncomfortable with the ethical dimensions of defense AI, or people looking for a well-oiled corporate machine with mature HR processes.

Open Positions at Helsing

Helsing currently has 109 open positions on our platform, spanning AI research, software engineering, systems engineering, and product roles across Munich, Berlin, London, Paris, Barcelona, and Stockholm. Roles include AI Research Engineers in computer vision, reinforcement learning, and foundation models, as well as deployed AI engineers, backend engineers, and site reliability engineers.

For a company of ~700 people, 109 open roles means roughly 15% headcount growth planned. That's aggressive but not reckless. If the culture and technical challenges described in this post resonate, the application window is wide open.