Principal Engineer, AI-Driven Marketing & Enterprise Tech
DocuSign, Inc.
San Francisco (CA)
Hybrid
USD 202,800 - 327,625
Full time
14 days+
Application generator
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Get past ATS filters
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.