Docusign · 1 week ago
Principal Software Engineer
Seattle, WA
Full-time
Hybrid
Lead/Staff
$193K/yr - $286K/yr
15+ years expDocusign is a leading company that brings agreements to life, serving over 1.5 million customers worldwide. They are seeking a Principal Software Engineer to lead the development of AI-powered contract redlining tools, overseeing the entire machine learning lifecycle and collaborating with various teams to enhance product features.
Business Process Automation (BPA)Cloud ManagementComputerE-SignatureInformation TechnologySaaSSoftware
Responsibilities
Spearhead the design, architecture, and development of robust and performant systems for AI powered contract review
Lead the entire ML lifecycle, including problem formulation, data gathering, feature engineering, model architecture selection, training, evaluation, deployment, and monitoring
Join customer calls and use insights from these to drive ML improvements and feature development
Write high-quality, production-ready code for ML pipelines, APIs, and services
Ensure ML model design and architecture is extensible across multiple product features and participate in technical design and code reviews with an ML/AI focus
Collaborate with Product Management, UX Design, and other engineering teams to define model requirements and provide accurate estimates for ML development efforts
Work closely with QA and ML Ops to devise efficient, scalable testing, validation, and continuous integration/continuous delivery (CI/CD) processes for ML artifacts
Identify, propose, and implement process improvements specific to the MLOps and ML engineering workflow to continuously increase the team's productivity and efficiency
Stay current with the latest research, development best practices, and advancements in Machine Learning (especially NLP/Generative AI) and share findings with the team
Research and prototype new AI features, models, and technologies to improve contract redlining capabilities
Raise issues proactively that might impact model performance, data quality, or delivery commitments
Fix production issues related to model inference and data pipelines and maintain ML system stability
Qualification
Required
15+ years of software product development experience, with a minimum of 8 years focused on production-grade Engineering for AI-powered products
Experience designing, developing, and deploying highly scalable, consumer-facing ML applications and services
Back end development experience
Experience with modern server-side development using modern programming languages like .NET (our preferred platform), JVM (Java/Scala), NodeJS, or others
Experience with NoSQL and SQL
Experience with Docker or other containerization technologies
Experience working with scalable microservices
Experience making improvements to existing large code base
Experience using Git or other version control systems
Fluency in English both verbal and written
BS degree in Computer Science, Machine Learning, or a relevant quantitative field of study
Preferred
Passion for new technologies
Experience working for a SaaS company
Experience working independently and in team environment as needed
A track record of being a self-starter - Individual/team responsibility is our main driver in the development work
Experience with React/Typescript
Practical experience with any Cloud technologies: Azure, Kubernetes, AWS, etc
Experience in working in an agile development environment with a focus on fast ML iteration cycles
Expertise in Natural Language Processing (NLP), Information Extraction, or Generative AI (LLMs) techniques relevant to document understanding or text summarization/generation
Experience aligning ML platform architecture with security, data privacy, and governance requirements
Experience developing, promoting, and building consensus across engineering teams for new ML infrastructure or architectural changes
Benefits
Paid Time Off: earned 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
Company
Docusign
DocuSign helps small- and medium-sized businesses collect information, automate data workflows, and sign on various devices.
5001-10000 employees
H1B Sponsorship
Docusign has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (361)
2024 (337)
2023 (236)
2022 (249)
2021 (236)
2020 (115)
Funding
Current Stage
Public CompanyTotal Funding
$1.29BKey Investors
Bank of AmericaFounders Circle CapitalGreenspring Associates
2025-05-27Post Ipo Debt· $750M
2018-04-27IPO
2016-10-12Secondary Market
Leadership Team
Allan Thygesen
Chief Executive Officer
Sagnik Nandy
Chief Technology Officer
Recent News
2026-01-11
2026-01-11
2026-01-07
Company data provided by crunchbase