Engineering Manager

About the Position

We're a 20-person team building a browser-native scientific data platform used by Novartis, J&J, Daiichi-Sankyo, and other top pharma and biotech companies. Our platform was already 10x faster than the competition and delivered more value for less - even before the AI era. Now, we're taking it to the next level.

We're competing with Spotfire, Certara, Dotmatics, and Schrödinger - and winning. How? By building faster and smarter. Our engineering team has fully embraced AI-driven development (Claude Code, agentic workflows, AI-assisted testing), and it's become our biggest force multiplier. We ship in weeks what used to take quarters.

We're looking for an engineering leader who's already living this way - someone who has hands-on experience with agentic development tools and can help lead a team that's pushing the boundaries of what a small, focused group can deliver. You'll report directly to the CEO and have real authority to shape how we build.

[Apply here](mailto:[email protected]?subject=Engineering Manager)

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Responsibilities

• AI-powered agentic workflows - Autonomous scientific agents that utilize Datagrok's plugins and integrations as tools.
• Automated testing at scale - Automatic scenarios using Playwright + AI, AI-driven bug reproduction and fixing, stress tests, unit tests, system health tests, plugin tests - everything integrated into CI-CD and managed by AI
• Platform evolution - Cross-application integration and eventing mechanism, ClickHouse as an analytical backbone, high-performance computations
• Enterprise integrations - Databricks connectivity (ADBC/Arrow for 2–10x speedups), HuggingFace model integration, and dashboard importers for Tableau and Spotfire migrations
• DevOps and infrastructure - ArgoCD deployments, Docker image management, containerized dev environments, and OpenTelemetry observability across a multi-layer stack
• AI-powered knowledge graph - mapping source code, features, tests, docs, and Jira tickets to enable impact analysis and agentic development workflows across the entire codebase
• Process improvements - code reviews, better planning/outcome system, DX improvements, onboarding for new developers

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Requirements

Must have:

• You've already adopted autonomous agentic development in your own workflow (harnesses, tool-use architectures, AI-driven testing, etc)
• 5+ years as a strong engineer who still codes. This is a hands-on position
• Experience leading a team (formal title matters less than demonstrated leadership)
• Proficiency in TypeScript or Dart; comfort picking up new languages fast. Our core stack is Dart and TypeScript, with C++/WASM, Python, R, Julia, and Matlab in scientific plugins
• Track record of delivering complex software products - not just managing people who do
• You see a problem, you fix it. You don't write a proposal about fixing it. You don't wait for permission
• Strong communication skills and fluent English - you'll work directly with technical clients at pharma companies and present to enterprise IT teams

Strong pluses:

• Life sciences, cheminformatics, or bioinformatics background (or genuine curiosity about this space)
• Experience building agentic AI systems - not just prompting LLMs, but designing autonomous pipelines, harnesses, tool-use architectures, or AI-driven testing frameworks
• Background in high-performance computing, data visualization, or scientific computing
• Startup DNA - you've built things from zero, worn multiple hats, and thrive without a playbook

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We Offer

• Real ownership - reporting directly to the CEO, you'll lead critical product areas for a platform deployed at top-10 pharma companies, not maintain someone else's legacy code
• An AI-first engineering culture - we're not "exploring AI adoption." We've already made the transition. You'll help take it further
• Direct client impact - your work will be used daily by scientists doing drug discovery at companies you've heard of
• Startup speed, enterprise clients - the autonomy and pace of a small team, with the validation of Fortune 500 deployments
• Fully remote, zero bureaucracy, flexible hours, unlimited PTO
• Competitive compensation with growth equity opportunity
• Paid training and certifications

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About Datagrok

Datagrok is a browser-native scientific data platform that outperforms competing products by an order of magnitude - because we made a fundamentally different architectural bet, and a philosophy that prioritizes total value to the customer. While others ship bloated server-side apps, we push scientific computation to the client using WebAssembly, WebGPU, and custom-built high-performance data and rendering engines. The result: millions of data points analyzed and visualized interactively in the browser.

We provide integrated cheminformatics, bioinformatics, and data science capabilities in a single platform - replacing or augmenting fragmented stacks of dozens of other tools that pharma companies currently stitch together.

Our clients include Novartis, J&J, Daiichi-Sankyo, and other major pharmaceutical companies. We're actively expanding into new therapeutic areas, enterprise use cases, and AI-powered scientific workflows.

Check out a walkthrough from our CEO, Andrew Skalkin: https://youtu.be/AxiY2xhudwE

We don't care about your pedigree. We care about what you can build.