Principal Engineer, AI-Driven Marketing & Enterprise Tech

DocuSign, Inc.

San Francisco (CA)

Hybrid

USD 202,800 - 327,625

Full time

14 days+
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Benefits offered by this job

Paid Time Off
Paid Parental Leave
Full Health Benefits
Retirement Plans
Learning and Development
Compassionate Care Leave

Job summary

A leading digital solutions company is seeking a Principal Engineer to drive the technical vision in marketing and enterprise applications. This hybrid role emphasizes AI enablement and the design of complex, large-scale systems. Candidates should have over 15 years of experience in software engineering, with an excellent track record in distributed architectures and data platforms. The ideal candidate will possess strong mentoring skills and a proven ability to influence technical decisions, aligning with business priorities.

Qualifications

  • 15+ years of experience in software engineering, with expertise in data-intensive platforms.
  • Experience in AI-adjacent systems including data platforms and automation.
  • Proven ability to design complex distributed architectures.

Responsibilities

  • Define long-term architecture and technical strategy for marketing and sales technology.
  • Lead design and adoption of AI-enabled capabilities in lifecycle marketing.
  • Mentor engineers and guide teams through architectural decisions.

Skills

Software engineering
AI enablement
Distributed systems
Large-scale data platforms
Microservices architectures
Backend programming languages (Java, Python, Node.js)
SQL and NoSQL databases
Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Docker
Kubernetes
Kafka
Spark
Hive

Job description

A leading digital solutions company is seeking a Principal Engineer to drive the technical vision in marketing and enterprise applications. This hybrid role emphasizes AI enablement and the design of complex, large-scale systems. Candidates should have over 15 years of experience in software engineering, with an excellent track record in distributed architectures and data platforms. The ideal candidate will possess strong mentoring skills and a proven ability to influence technical decisions, aligning with business priorities.
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