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.
What you'll build and lead
This isn't a "manage meetings and write status reports" role. You'll own critical product areas and ship alongside the team. Here's what's on the roadmap:
- 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 mechanicm, 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
What we're looking for
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
What 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
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
→ Apply: hr@datagrok.ai (subject: Engineering Manager)
We don't care about your pedigree. We care about what you can build.