Principal Engineer AI-Driven Marketing Platform

Docusign

San Francisco (CA)

Hybrid

USD 202,800 - 327,625

Full time

14 days+

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Benefits offered by this job

Bonus plan based on company performance
Restricted Stock Units (RSUs)
Full Health Benefits Plans
Paid Time Off
Paid Parental Leave
Retirement Plans
Learning and Development options

Job summary

A leading e-signature and contract management provider is looking for a Principal Engineer to enhance their Marketing and Enterprise Applications Technology Engineering team. You will shape the long-term technical vision and lead architectural design while mentoring senior engineers. The role emphasizes AI enablement and working with large-scale distributed systems. Ideal candidates bring over 15 years of experience in software engineering, knowledge of modern data platforms, and a proven track record in developing complex architectures.

Qualifications

  • 15+ years of experience in software engineering with deep expertise in large-scale, data-intensive platforms.
  • Experience in AI-adjacent systems and automation.
  • Experience with microservices architectures and backend programming languages like Java or Kotlin.

Responsibilities

  • Define and guide long-term architecture aligned with company objectives.
  • Lead design of AI-enabled capabilities for marketing technology platforms.
  • Mentor senior engineers and drive consistency in technology standards.

Skills

Software engineering
Architecture design
AI enablement
Data platforms
Distributed systems

Education

Bachelor’s or Master’s degree in Computer Science, Engineering

Tools

Docker
Kubernetes
SQL
NoSQL databases
Kafka
Spark
Hive

Job description

A leading e-signature and contract management provider is looking for a Principal Engineer to enhance their Marketing and Enterprise Applications Technology Engineering team. You will shape the long-term technical vision and lead architectural design while mentoring senior engineers. The role emphasizes AI enablement and working with large-scale distributed systems. Ideal candidates bring over 15 years of experience in software engineering, knowledge of modern data platforms, and a proven track record in developing complex architectures.
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