Sr. Manager, Threat Detection Engineering

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you/'ll do

Docusign is seeking an experienced and visionary Sr. Manager of Threat Detection Engineering to lead our team of talented detection engineers. In this critical role, you will be responsible for defining, implementing, and optimizing Docusign/'s threat detection and data pipeline capabilities, ensuring robust protection across our cloud, on-premise, and corporate environments. You will lead a high-performing team focused on developing scalable, effective, and automated detection and response solutions that anticipate and mitigate sophisticated cyber threats. This role requires a strong blend of technical expertise, a developer and engineering-focused mindset, leadership acumen, and a strategic approach to enhance our security posture and enable rapid incident response, with a keen eye on leveraging AI and advanced techniques, and a focus on the underlying data infrastructure and SIEM platform.

This position is a people manager role reporting to the Sr. Director of Security Operations.

Responsibilities

- Recruit, mentor, and grow a team of skilled threat detection engineers, fostering a culture of excellence, innovation, and continuous learning with a strong emphasis on software development and engineering principles

- Plan team strategy, resource allocation, and hiring to support DocuSign/'s growth and evolving security needs

- Develop and champion a comprehensive strategic vision and technical roadmap for threat detection capabilities across Docusign/'s diverse technology stack

- Stay abreast of emerging threats, attacker TTPs, and industry standards to inform detection priorities, with a focus on engineering efficiency and scalability

- Take direct ownership of the security data pipeline and SIEM platform including overseeing the collection, ingestion, processing, and storage of security telemetry, ensuring the platform is optimized for performance, scalability, and reliability to support all threat detection needs

- Work closely with infrastructure teams to maintain and uplift the underlying data infrastructure

- Lead the full lifecycle of threat detection, from designing instrumentation and telemetry systems to creating, testing, deploying, and enhancing behavioral, rule-based, and machine learning detections

- Emphasize an engineering approach to ensure high fidelity, accuracy, and efficiency of detections, including the implementation of Detection-as-Code principles

- Collaborate closely with the Incident Response team to translate threat intelligence into actionable detections, automate response workflows, and reduce mean time to detect and mean time to respond

- Participate in post-incident reviews to drive continuous improvement, applying engineering rigor to the process

- Drive the adoption and integration of new detection technologies, frameworks, and processes

- Architect and maintain scalable, automated security discovery and containment systems leveraging SIEM/SOAR platforms, EDR, network traffic analysis tools, and cloud-native security solutions, with an engineering focus on reliability and performance

- Partner effectively with engineering, product, and other security teams (e.g., Threat Intelligence, Security Engineering, Red Team) to ensure comprehensive coverage, address blind spots, and instill security monitoring best practices throughout the software development lifecycle, promoting a collaborative engineering environment

- Establish and author repeatable and scalable processes around detection and automation engineering, including Detection-as-Code principles and continuous integration/continuous deployment (CI/CD) for detections

- Define and track key performance indicators (KPIs) to measure the effectiveness of detection capabilities and team engineering output

- Distill complex technical security concepts into clear, concise communications for both technical and non-technical customers, including senior leadership

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position/'s job designation depending on business needs and as permitted by local law.

What you bring

Basic

- 8+ years of progressive experience in cybersecurity, with at least 3 years in a dedicated threat detection engineering role

- 3+ years of proven experience in an engineering management role, with a track record of building, mentoring, and scaling security teams with an engineering-focused culture

- Experience building detection programs at scale in large, complex, cloud-inclusive environments (e.g., AWS, Azure, GCP), applying sound engineering principles

- Experience in the design, implementation, and management of security data pipelines and SIEM platforms

- Experience with cyber threat landscape, attacker tactics, techniques, and procedures (TTPs), and frameworks such as MITRE ATT&CK

- Experience in detection rule languages (e.g., SPL, KQL) and advanced query development, with an understanding of the underlying data structures and query optimization

- Experience with writing detections based on diverse security signals and telemetry (e.g., network traffic, endpoint logs, cloud logs), with an engineering approach to signal processing and analysis

- Experience with security tools and technologies such as SIEM/SOAR platforms (e.g., Splunk, Sentinel), EDR, IDS/IPS, network traffic analysis tools (e.g., Zeek, Suricata, Yara), and cloud security solutions, with an understanding of their architecture and integration

- Experience with scripting/programming (e.g., Python, Go, Bash, PowerShell) for security tooling, automation, and API integrations, with a focus on writing clean, maintainable, and efficient code

- Experience analyzing and interpreting large datasets and logs to identify security risks and events, applying data engineering and analysis techniques

- Experience with CI/CD pipelines and Detection-as-Code practices, including version control, testing, and automated deployment of detections

- Experience with AI and Machine Learning applications in threat detection and security, including the ability to evaluate, implement, and manage AI-based detection solutions and secure AI/ML systems

- Experience with data pipeline technologies and architectures, including data collection, ingestion, processing, and storage for security data, with hands-on experience managing and optimizing these systems

- Experience with SIEM platform administration, configuration, and optimization, including data onboarding, parsing, correlation rule development, and dashboard creation

- Demonstrated ability to think strategically, balance long-term goals with immediate operational needs, and drive high-impact work with an engineering perspective

Preferred

- Proven ability to collaborate effectively across cross-functional teams, influence stakeholders, and drive consensus, fostering a collaborative engineering environment

- Passion for continuous learning, operational excellence, and a proactive, adversarial mindset, with a commitment to improving engineering processes and outcomes

- Strong analytical and problem-solving skills, with meticulous attention to detail and an engineering approach to root cause analysis

- Exceptional communication (written and verbal) and presentation skills, with the ability to convey technical findings and recommendations to diverse audiences, including explaining complex engineering concepts

- Bachelor/'s degree or equivalent experience in Computer Science, Cybersecurity, or a related field

- Advanced degree or security certifications (e.g., GIAC, CISSP)

- Experience with anomaly detection, machine learning, and statistical analysis of user behavior patterns for security purposes

- Background in security-focused software engineering or offensive security

- History of speaking at security conferences or publishing research

Life at Docusign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

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