Jump - Advisor AI

Senior Engineering Manager

Jump - Advisor AI

full-time

Posted on:

Origin:  • 🇺🇸 United States • Utah

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Salary

💰 $180,000 - $270,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudElixirGoogle Cloud PlatformKubernetesTerraform

About the role

  • Lead an engineering team building AI solutions for financial advisors
  • Manage, mentor, and grow a team of 5-10 software engineers
  • Conduct regular 1:1s, performance reviews, and career development discussions
  • Foster a culture of technical excellence, kindness, and hard work
  • Lead hiring efforts including sourcing, interviewing, and onboarding
  • Define technical roadmaps and delivery timelines with product management
  • Oversee system architecture decisions for scalability, reliability, and security
  • Ensure engineering best practices: code reviews, testing, CI/CD, documentation
  • Balance technical debt with feature velocity in a startup environment
  • Drive AI/ML infrastructure and model deployment decisions
  • Collaborate with compliance, security, and customer success teams
  • Track and report engineering metrics and KPIs
  • Identify and mitigate technical risks and bottlenecks
  • Ensure on-time delivery of high-quality software releases

Requirements

  • 7+ years of software engineering experience with at least 2 years in engineering management
  • Strong technical background with hands-on experience in modern programming languages
  • Experience building and scaling production systems, preferably in fintech, AI/ML, or B2B SaaS
  • Proven track record of hiring, developing, and retaining engineering talent
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Excellent communication skills with ability to work effectively with both technical and business stakeholders
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • Preferred: Experience in financial services or fintech, understanding of compliance requirements (SOC 2, GDPR, etc.)
  • Preferred: Background in AI/ML engineering or working closely with data science teams
  • Preferred: Experience with LLMs, RAG systems, or other modern AI architectures
  • Preferred: Track record of building engineering teams from 5 to 20+ people
  • Preferred: Experience in early-stage startups (Series A-C)
  • Preferred: Knowledge of financial advisory workflows and tools