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).
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 and technical bench strength, 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, Security Operations
Responsibility
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 best practices to inform detection priorities, with a focus on engineering efficiency and scalability
Take direct ownership of the security data pipeline and SIEM platform which includes 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
Leverage an engineering approach to ensure high fidelity detections
Implement and execute a fullstack software development lifecycle for the purposes of Detection-as-Code
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 stakeholders, including senior leadership
Remote: Employee is not required to be in or near an office frequently and works from a designated remote work location for the majority of the time.
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.
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 the cyber threat landscape, attacker tactics, techniques, and procedures (TTPs), and frameworks such as MITRE ATT&CK
Experience with detection rule languages (e.g., SPL, KQL) and advanced query development, with an understanding of the underlying data structures and query optimization
Experience 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 programming (e.g., Python, Go, PowerShell, React) 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 software development fundamentals, 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
Proven ability to collaborate effectively across cross-functional teams, influence stakeholders, and drive consensus, fostering a collaborative engineering environment
Preferred
Demonstrated ability to think strategically, balance long-term goals with immediate operational needs, and drive high-impact work with an engineering perspective
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
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $177,900.00 - $287,425.00 base salary
Illinois, Colorado, Massachusetts and Minnesota: $170,900.00 - $241,400.00 base salary
Washington, Maryland, New Jersey and New York (including NYC metro area): $170,900.00 - $251,325.00 base salary
Washington DC: $177,900.00 - $251,325.00 base salary
Ohio: $150,300.00 - $212,325.00 base salary
This role is also eligible for the following:
Global benefits provide options for the following:
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.
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
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