Senior Manager, Software Engineering - AI Platform

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&aposll do

The Docusign AI team is seeking an experienced and driven engineering leader to build and enhance its machine learning platform and infrastructure. This role is crucial for developing industry-leading Document AI products that leverage extensive text and image data, along with advanced computer vision and natural language models. You&aposll support the entire machine learning lifecycle, from research to scalable deployment, empowering a global team of machine learning engineers and data scientists. Join us in pioneering the Smart Agreement Cloud, simplifying contract processes and providing automated expertise to customers worldwide. This position is part of the Core AI platform team, collaborating with colleagues across the Bay Area, Seattle, and Europe.

This position is a people manager role reporting to the Director of Machine Learning Engineering.

Responsibility

• Be the Engineering leader responsible for executing on our product roadmap using agile practices and will champion the culture, processes, and tools required to maintain a frictionless high quality development environment
• Design distributed systems at scale with enterprise-grade security and reliability
• Drive testing, releases, and monitoring of machine learning based products
• Enable team productivity through correct processes, automation, and reviews to enforce high quality and maintainable code across the platform
• Collaborate with Applied Science and Product teams to establish requirements and timelines for successful product delivery
• Work collaboratively across different time zones and geographies
• Develop highly scalable and reliable machine learning infrastructure that can support efficient model inference, training, and data telemetry collection
• Build vital tools and infrastructure to monitor and understand the performance of complex systems

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&aposs job designation depending on business needs and as permitted by local law.

What you bring

Basic

Preferred

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 [HIDDEN TEXT].

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [HIDDEN TEXT] for assistance.

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Skills Required

Software Development, Unit Testing, Monitoring, GRPC, Management, Docker, Integration Testing, Distributed Systems, Kubernetes