Senior Engineer, Exposure & Vulnerability Management

Your work will change lives. Including your own.

The Impact You’ll Make

Help shift the company from periodic scans to continuous, risk-driven exposure management. You’ll build multi-agent systems that take vulnerabilities from discovery to verified closure, with approval gates, audit trails, and rollback built in. You’ll replace static CVSS scores with prioritization based on reachability, attack paths, business criticality, and live exploit intelligence, so engineering teams can focus on what’s actually exploitable. By integrating remediation into ticketing and CI/CD and partnering with Engineering and IT to make secure-by-default the norm, you’ll shrink our attack surface and speed up fixes where risk is highest, helping the company keep decoding biology with confidence.

In this role, you will

• Design and deploy multi-agent systems that take an exposure from discovery to closure: analyzing it from the outside in, mapping dependencies from the inside out, generating the patch or Infrastructure-as-Code (IaC) update, and validating the result. Build in approval gates, audit trails, and rollback so every automated change gets the level of review its risk calls for.

• Move prioritization beyond static CVSS scores by building engines that rank exposures on real-time reachability, attack-path context, business criticality, and live exploit intelligence.

• Cut through alert noise with automated verification that separates theoretical flaws from actively exploitable conditions, so engineering and DevOps teams can focus on the issues that matter.

• Drive our Continuous Threat Exposure Management (CTEM) strategy, shifting the organization from periodic scans to a proactive, around-the-clock security posture across products, platforms, cloud and on-premise infrastructure, and corporate applications.

• Assess the current state of our exposure and vulnerability management program and revamp the strategy to accelerate key business outcomes and support our broader zero-trust security approach.

• Architect cloud-native discovery, asset-inventory, and remediation workflows, and integrate them with ticketing, CI/CD, and configuration management so fixes reach owners and ship without manual hand-offs.

• Partner with Engineering and IT to embed secure-by-default practices into how products and applications are built, deployed, and patched, with remediation timelines matched to real risk.

• Define KPIs, KCIs, and KRIs (for example mean time to remediate, exploitable-exposure backlog, and coverage of critical assets) that show how well controls are working and guide continuous improvement.

• Support regulatory compliance by working with partner teams to design exposure and vulnerability controls that meet standards such as SOC2.

The Team You’ll Join

You will join a growing Information Security team at the company, focused on enabling the company to decode biology by providing world class secure technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to ensure that IAM systems support the organization's broader business objectives while maintaining the highest standards of security.

The Experience You’ll Need

• Bachelor's or Master's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.

• 7+ years of experience in vulnerability management, exposure management, or related information security domains, including leading large-scale programs from strategy through execution in cloud-first and hybrid environments.

• Deep understanding of security principles, with a track record of turning vulnerability data into prioritized, owned, and verified remediation.

• Hands-on experience building or deploying AI/LLM-based agents or multi-agent systems for security or engineering workflows, including orchestration, tool use, and evaluation.

• Working knowledge of approval workflows, audit logging, and rollback controls for automated remediation, and of the risks of agent-driven changes.

• Proficiency in one or more programming languages (for example Python, Go, Java) and strong scripting skills for automation and integration.

• Expert-level experience with leading vulnerability and exposure management platforms (for example Tenable, Qualys, Rapid7, or equivalent) and with CTEM, attack surface management, and attack-path analysis tooling.

• Strong command of risk-based prioritization: CVSS, EPSS, CISA KEV, reachability analysis, and threat intelligence feeds.

• Experience with cloud platforms (AWS, Azure, GCP), container and Kubernetes security, and Infrastructure-as-Code (Terraform, CloudFormation) for automated remediation.

• Experience with CI/CD pipelines, SCA/SAST tooling, and software supply chain security, including SBOMs and dependency mapping.

• Knowledge of operating systems (UNIX/Linux, macOS, Windows), networking, and database management systems.

• Experience with risk management, ensuring solutions align with organizational risk tolerance and compliance requirements (SOC2, GxP, or similar).

• Relevant security certifications (for example CISSP, OSCP, GWAPT) are highly desirable.

Working Location & Compensation

This is a remote position based in the United States. We ask that remote employees commit to regular on-site visits for routine work and departmental events.

At the company, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $ 134,200–$180,600 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

#LI-DNI

The Values We Hope You Share

• We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.

• We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.

• We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.

• We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.

• We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together.

• We are One the company. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.

Our values underpin the employee experience at the company. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.

More About the company

The company (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. The company is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the company OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the company OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting.

The company’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. The company also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at [link for members] , or connect on X and LinkedIn .

The company is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

The company leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate.  By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to the company Privacy Policy at  [link for members] for more information about our processing of personal data and your rights.

Recruitment & Staffing Agencies: the company Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to the company or its employees is strictly prohibited unless contacted directly by the company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of the company, and the company will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.