Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As Security Engineering Manager at Isomorphic Labs, you will build, scale, and lead a high-performing engineering team at the absolute frontier of Artificial Intelligence and Cybersecurity. Reporting directly to the CISO, you will own the technical security roadmap for our pioneering digital biology platform. This role demands a rare blend of deep technical mastery, sharp business acumen, and people leadership. You will lead from the front, translating complex scientific and business objectives into an actionable, enterprise-grade engineering reality. Operating within a high-growth scale-up environment backed by the Alphabet ecosystem, you will pioneer a robust, AI-first security architecture while remaining a velocity enabler for world-class ML researchers and drug discovery teams.

Responsibilities

Mentor and scale a world-class team of security engineers, fostering a culture of technical excellence, continuous learning, and high-impact delivery.
Co-design and implement the long-term technical security strategy covering IAM, Cloud and Network Security, Secure SDLC, Security Monitoring, etc.
Lead unique, industry-pioneering technical projects that support the development of frontier ML models and new therapeutics.
Oversee the security of our cloud infrastructure and platform leveraging AI and agentic workflows, enabling data-driven and automated security posture management.
Develop and maintain a KPI-driven roadmap and provide regular updates to executive management.
Partner with medical teams and ML researchers to maximize velocity, removing obstacles while maintaining secure compute environments.
Act as a key technical liaison within the broader Alphabet/Google ecosystem and with strategic security vendors, ensuring Isomorphic Labs maintains its agile, pioneering edge.
Serve as the senior technical escalation point for complex security incidents, systemic architectural vulnerabilities, and high-stakes risk remediations.

Requirements

Proven track record of managing, building, or leading technical security teams within fast-paced scale-ups, hyper-growth startups, and/or world-class technology organizations.
Deep experience defining, implementing, and defending security architectures across complex, multi-tenant cloud systems.
Solid professional exposure to the unique security, regulatory requirements, and architectural challenges found within AI/ML and/or the life sciences industry.
The ability to pivot from strategic risk planning to direct, collaborative implementation assistance, and to arbitrate deeply technical trade-offs.
A bias for automation, scalability, and systematic acceleration through the use of AI and agentic workflows.
Strong engineering background in securing cloud platforms (GCP preferred), containerized workloads (Kubernetes/Docker), and deploying robust Zero Trust frameworks.
Exceptional ability to evaluate security through a commercial and scientific lens, making calculated, data-driven trade-offs that support business agility without compromising core assets.
Excellent soft skills with a proven ability to distill deep technical vulnerabilities and complex architectural risks into clear, concise, and actionable strategic plans for senior executive leadership and non-security stakeholders.
Hands-on experience or deep architectural familiarity with securing ML training lifecycles, protecting proprietary model weights, or building guardrails for autonomous workflows.
Experience navigating security frameworks (ISO 27001, ISO 42001) or strict data privacy and validation standards common in health tech or pharma (GxP, FDA, EU AI Act).
Proficiency in Python or Go, alongside deep expertise in automated CI/CD security tooling, Terraform, and advanced cloud-native security controls.
Professional-level cloud security certifications or technical credentials (e.g., CISSP, CISM, OSCP).

Skills

IAM
Cloud Security
Network Security
Secure SDLC
Security Monitoring
AI
Agentic Workflows
GCP
Kubernetes
Docker
Zero Trust Frameworks
Python
Go
CI/CD
Terraform
Cloud-native security controls
ISO 27001
ISO 42001
GxP
FDA
EU AI Act

Location

Remote
Hybrid

Work Type

Hybrid

Experience Level

Manager

About the Company

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.
Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.
The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.
Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.
We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.
Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Equal Opportunity

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.