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
