Engineering Manager - #1754178

Founded in 2018, Causaly’s AI platform for enterprise-scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face.

We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here:  Blog - Causaly  

We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. 

About The Team

We’re hiring an engineering manager to help expand our platform for consuming and making sense of private data. Pharmaceutical institutions have accumulated thousands of person-years of scientific expertise and wisdom – we utilise AI models to help scientists find novel connections and insights from this proprietary data.

But that’s not as easy as just integrating an API! Getting accurate, scientifically relevant, trustworthy and meaningful results relies on deep integration into source systems, while respecting the vital regulatory and security requirements that underpin safe usage of these datasets. We’re looking for an engineering leader that can drive the future of this product to meet the needs of our largest, most strategic customers.

What You’ll Be Doing

• Lead, coach, and develop 6-10 engineers, keeping individual growth front-and-centre while maintaining a high technical bar. You’ll develop a nurturing and inspiring work environment.
• Drive the roadmap in partnership with Product and Design leads; set clear goals, align on metrics, and sequence work to deliver value iteratively (think “small steps” rather than big-bang launches)
• Working closely with strategic customers to understand their data, security and deployment landscape
• Uphold engineering excellence—reliability, observability, and automated quality gates— so our customers can trust insights that guide multi-million-dollar R&D decisions. You’ll bring your own strong perspective on what excellence looks like and how to get there.
• Recruit and onboard exceptional, mission-driven engineers. You’ll contribute to a hiring experience that is inclusive and transparent.
• Champion continuous improvement in developer productivity and engineering practices, with a pragmatic and lean attitude toward process
  
  

What experience you’ll need to be successful:

• 8+ years of software engineering experience, including 3+ years leading or managing teams
• Demonstrated success in a startup or scale-up environment, with experience navigating rapid change and comfort with ambiguity
• You've worked closely and directly with customer stakeholders, and you’re confident having detailed technical and architectural conversations
• You’ll bring strong technical proficiency, including a deep understanding of modern cloud architecture, software development practices, and software design
• Ideally, you’ll have prior experience with systems architecture in a compliance- or regulatory- sensitive domain, and familiarity weaving compliance & security requirements into day-to-day software engineering
  
  

Not required, but it’s a plus if you also have:

• Prior experience with search, knowledge graphs, or LLM-driven applications
• Background in life-sciences, health-tech, or other data-intensive domains.
• Familiarity with multiple clouds (GCP, AWS, and/or Azure)
  
  

We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.