Director, Software Engineering

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. 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).

About the role

Docusign operates global, always-on services. To safeguard customer trust and empower our engineering teams, we are building the next generation of monitoring and troubleshooting capabilities. You will lead the engineering organization behind our AI-powered observability platform. Built to complement existing tools like Grafana, Prometheus, and Clickhouse/Azure Data Explorer, this platform addresses the challenges of information overload by making observability accessible to everyone. You will manage a multidisciplinary team of backend engineers, machine learning engineers, and data scientists to build predictive, automated insights while running a highly critical service with strict SLAs. This position is a people manager role reporting to the Senior Director, Software Engineering.

Responsibilities

• Manage high-throughput, real-time observability pipelines processing massive volumes of telemetry data across multi-region, multi-cloud environments
• Operate a Tier-0 data plane with strict SLOs, disciplined change management, and high availability requirements
• Serve as the observability backbone for every engineering team's reliability and velocity, dramatically reducing the time from "something's wrong" to "here's the problem"
• Set a clear 12-24 month vision for AIOps capabilities, focusing on automated troubleshooting workflows, proactive anomaly detection, and smart alert aggregation
• Bridge the gap between robust backend infrastructure and applied machine learning, ensuring models for auto-threshold estimation and pattern recognition are effectively trained and reliably deployed at scale
• Drive availability, durability, incident readiness, and disaster recovery for the observability plane; run regular resilience drills
• Lead, hire, and grow a senior-heavy team of backend engineers, ML engineers, and applied scientists. Build an architecture culture, clear career paths, and a high-judgment, high-ownership operating model
• Own the annual operating plan for the AIOps platform capacity, availability, and budget, meeting or beating committed SLOs/SLAs
• Drive the development of intelligent capabilities like automated impact analysis, ML-driven threshold estimation, and natural language interfaces to reduce alert noise and accelerate debugging
• Continually improve ingestion latency, query performance, storage efficiency, and cost per unit while maintaining reliability through traffic spikes and deploys
• Partner with SRE, Telemetry Platform, Security, Finance, and Product; make pragmatic build-vs-buy decisions; manage vendors and capacity commitments
• Lead on-call and incident command for the observability platform

Requirements

• 12+ years in software/infra/platform engineering, including 6+ years operating high-scale, 24x7 back-end systems
• 3+ years managing managers and senior ICs, specifically leading multidisciplinary teams across domains like backend engineering and machine learning
• Proven ownership of mission-critical services with strict SLOs, incident management, and change control
• Experience hiring, developing, and retaining senior/principal talent and building inclusive, high-trust teams

Preferred Qualifications

• Familiarity with modern observability practices (metrics, logs, distributed tracing) and standards such as OpenTelemetry
• Experience leading teams that build, train, and deploy machine learning models in production environments for AIOps, anomaly detection, or predictive analytics
• Experience improving the performance and reliability of large telemetry/data pipelines at a multi-region scale
• Exposure to multi-cloud environments and Kubernetes-based platforms

Schedule

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

Pay

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 pay range in Washington, Maryland, New Jersey, and New York (including NYC metro area) is $202,100.00 - $299,625.00 base salary.

This role is also eligible for the following bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, calculated as a percentage of eligible wages and dependent on company performance.

This role is eligible to receive Restricted Stock Units (RSUs).

Benefits

• Paid time off, as well as paid company holidays based on region
• Paid parental leave: take up to six months off with your child after birth, adoption, or foster care placement
• Full health benefits plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement plans: select retirement and pension programs with potential for employer contributions
• Learning and development: options for coaching, online courses, and education reimbursements
• Compassionate care leave: paid time off following the loss of a loved one and other life-changing events