Sr. Systems Engineer, Sales & Marketing
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 132,415–272,619/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design, build, and operate full‑stack applications and services on enterprise infrastructure
- Lead the technical design and implementation of GenAI/ML‑powered services and pipelines
- Own the end‑to‑end software development lifecycle for these systems
- Partner closely with product managers and engineers to translate business needs into technical plans
- Use AI coding tools and agents to accelerate development responsibly
- Mentor and coach other engineers on system design, GenAI/ML patterns, and AI‑augmented workflows
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent
- 10+ years of software engineering experience building and operating production systems
- Experience building systems or analytics used by Sales and/or Marketing teams
- Full-stack applications and/or backend services on a modern cloud platform (such as AWS or similar)
- Strong proficiency in Python
- Experience with at least one of: Java, Node.js, and/or Javascript
- Hands‑on experience designing and operating distributed systems and robust, fault‑tolerant integrations
- Practical experience building or integrating GenAI/ML‑powered features or services in production
- Demonstrated ability to use AI tools and agents to write, review, and validate technical design documents
- Experience using GenAI coding tools (for example, Cursor, Claude Code, or similar)
- Excellent communication, collaboration, and leadership skills
- Outcome‑oriented mindset
Preferred
- Experience in enterprise or business systems environments
- Salesforce engineering experience (for example, Sales Cloud, Service Cloud, or Salesforce integrations)
Skills
- Python
- Java
- Node.js
- JavaScript
- AWS
- GenAI
- ML
- REST
- gRPC
- Salesforce
- Sales Cloud
- Service Cloud
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