Preparation for Ceribell requires a disciplined approach. You should aim to articulate your past experiences using the STAR (Situation, Task, Action, Result) method, with a specific focus on the "Result" being tied to business or clinical outcomes.

Technical Vision & Architecture – This criterion assesses your ability to design systems that are not only performant but also maintainable and compliant. Interviewers look for evidence that you can foresee long-term implications of current architectural choices.

Operational Excellence – You must demonstrate a proactive approach to managing engineering teams. This includes your methodology for sprint planning, resource allocation, and your ability to foster a culture of accountability and continuous improvement.

Influence & Communication – As a leader, your ability to translate complex technical concepts for non-technical stakeholders is vital. Be prepared to explain how you build consensus across cross-functional teams, particularly between product, engineering, and clinical teams.

The interview process at Ceribell is structured to be comprehensive yet efficient, reflecting our fast-paced but collaborative culture. You can expect a series of conversations that begin with an initial screen to assess alignment, followed by deep-dive sessions focusing on technical architecture, leadership philosophy, and cultural fit. The process is designed to move candidates through a logical progression, starting with individual contributors and peers, and culminating in discussions with senior leadership.

The visual timeline above illustrates the standard progression from initial screening to final-stage evaluations. Candidates should use this as a roadmap to pace their preparation, ensuring that technical deep-dives are handled early while behavioral and strategic narratives are refined for later-stage executive interviews. Be aware that the pace can be rapid, so ensure your availability and documentation are prepared ahead of time.

Technical Depth and Architectural Design

This area evaluates your fundamental understanding of modern data stacks. You are expected to demonstrate how you evaluate new technologies against existing constraints.

Be ready to go over:

• Streaming Data Architectures – Managing high-velocity data ingestion.
• Cloud Infrastructure – Leveraging AWS/Azure/GCP for high-availability medical services.
• Compliance & Security – Familiarity with HIPAA or similar regulatory data standards.

Example scenarios:

• "Walk me through the design of a data pipeline you built that required 99.99% uptime."
• "How do you evaluate whether to build a custom solution versus buying an off-the-shelf platform?"

As the Director, Data Engineering & Architecture, you will be responsible for the end-to-end lifecycle of our data platforms. Your day-to-day will involve setting the long-term technical roadmap, mentoring lead engineers, and collaborating with our clinical product teams to ensure our data infrastructure supports the next generation of diagnostics.

You will act as the primary architect for our data strategy, ensuring that all systems are built for scalability and security. Beyond the technical, you are a people leader; you will be tasked with scaling the team, defining best practices for documentation and code reviews, and maintaining a high bar for engineering excellence across the organization.

A strong candidate for this role at Ceribell will possess a balance of hands-on technical expertise and proven management experience in a high-stakes environment.

• Must-have skills:

  • 10+ years in software/data engineering with at least 5 years in a leadership capacity.
  • Deep experience with distributed systems and real-time data processing.
  • Strong track record of managing remote-first engineering teams.
  • Experience in regulated industries (Medical Devices, FinTech, or similar).

• Nice-to-have skills:

  • Experience with machine learning pipelines and MLOps.
  • Direct experience with cloud-based IoT data integration.

Q: What is the typical timeline from the first screen to an offer? A: We aim for a streamlined process, typically spanning 3 to 5 weeks from the initial recruiter screen to the final decision.

Q: How much of the role is hands-on coding versus management? A: This is a leadership-focused role. While you must have a strong technical background to earn the respect of your team, your primary responsibility is strategy, architecture oversight, and people development.

Q: What differentiates successful candidates at Ceribell? A: Successful candidates show a genuine passion for our mission, a high degree of intellectual humility, and the ability to make data-driven decisions in the face of ambiguity.

• Understand the mission: Research Ceribell’s impact on EEG monitoring and be ready to discuss why you want to apply your technical skills to healthcare.
• Be ready for trade-offs: In every technical design question, explicitly state the pros and cons of your proposed solution.
• Focus on the "Why": Don't just explain what you did; explain the business or technical rationale behind your decisions.

The Engineering Manager (specifically the Director, Data Engineering & Architecture) role at Ceribell is a high-impact position that demands both technical rigor and empathetic leadership. By focusing your preparation on your architectural decision-making, your experience managing remote teams, and your ability to align technical goals with clinical outcomes, you will be well-positioned to succeed throughout the interview process.

You have the skills to drive meaningful change within the medical technology space. Take the time to refine your stories, understand the core challenges of our data-heavy environment, and approach each conversation with confidence. We look forward to seeing how your expertise can help Ceribell continue to innovate in patient care.

The salary data provided reflects the competitive compensation packages for leadership roles in our core locations. Candidates should view this range as a reflection of the high level of responsibility and the specialized expertise required to lead our data engineering efforts.