What youll 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. Youll 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 positions job designation depending on business needs and as permitted by local law.
What you bring
Basic
- 12+ years of combined software development and management experience across at least 3 languages or paradigms, and frameworks or equivalent experience
- 8+ years of hands on software development or equivalent experience
- Experience designing/building/consuming RESTful and gRPC based web-services
- Experience with CI/CD build pipelines, integration testing, unit testing, and test-driven development
- Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers
- Experience with highly scalable, high-volume distributed systems and services with top-tier resiliency, availability, and performance
Preferred
- Experience building machine learning products, data pipelines, or machine learning training and deployment systems
- Experience with deployment and monitoring of machine learning models
- Ability and desire to move across technology stacks fluently and easily
- Strong people management skills, including coaching, mentoring, and leading technical teams
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. for assistance.
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","qualifications":"
Basic
- 12+ years of combined software development and management experience across at least 3 languages or paradigms, and frameworks or equivalent experience
- 8+ years of hands on software development or equivalent experience
- Experience designing/building/consuming RESTful and gRPC based web-services
- Experience with CI/CD build pipelines, integration testing, unit testing, and test-driven development
- Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers
- Experience with highly scalable, high-volume distributed systems and services with top-tier resiliency, availability, and performance
Preferred
- Experience building machine learning products, data pipelines, or machine learning training and deployment systems
- Experience with deployment and monitoring of machine learning models
- Ability and desire to move across technology stacks fluently and easily
- Strong people management skills, including coaching, mentoring, and leading technical teams
","responsibilities":"
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. Youll 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
