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Jump - Advisor AI

U.S. Senior Manager, Engineering

Sorry, this job was removed at 02:22 p.m. (CST) on Monday, Feb 23, 2026
Remote
Hiring Remotely in New Zealand
Remote
Hiring Remotely in New Zealand

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About the Role

We're seeking an experienced Engineering Manager to lead our engineering team as we build cutting-edge AI solutions that empower financial advisors to better serve their clients. You'll be responsible for managing and scaling a team of talented engineers while driving the technical strategy and execution of our AI-powered platform. This role combines hands-on technical leadership with people management in a fast-paced startup environment.

This is a true player-coach role: you should expect to actively contribute code, own and work tickets end-to-end, and participate directly in the day-to-day engineering work alongside your team.

Key Responsibilities

Team Leadership & Development

  • Manage, mentor, and grow a team of 5-10 software engineers across various levels of seniority

  • 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 new team members

Technical Strategy & Execution

  • Partner with product management to define technical roadmaps and delivery timelines

  • Oversee system architecture decisions for scalability, reliability, and security

  • Ensure engineering best practices including code reviews, testing, CI/CD, and documentation

  • Balance technical debt management with feature velocity in a startup environment

  • Drive technical decision-making around AI/ML infrastructure and model deployment

  • Individually contribute to the codebase by writing production code, reviewing PRs, and owning engineering tickets as a member of the team.

Cross-functional Collaboration

  • Collaborate with compliance and security teams to ensure regulatory requirements are met

  • Partner with customer success to understand and address technical customer needs

  • Communicate technical concepts and trade-offs to non-technical stakeholders

Project & Delivery Management

  • Track and report on engineering metrics and KPIs

  • Identify and mitigate technical risks and bottlenecks

  • Ensure on-time delivery of high-quality software releases

Required Qualifications

  • 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)

  • Experience deploying, operating, or supporting software in on-premise environments is required.

  • 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 Qualifications

  • Experience in financial services or fintech, with understanding of compliance requirements (SOC 2, GDPR, etc.)

  • Background in AI/ML engineering or working closely with data science teams

  • Experience with LLMs, RAG systems, or other modern AI architectures

  • Track record of building engineering teams from 5 to 20+ people

  • Experience in early-stage startups (Series A-C)

  • Knowledge of financial advisory workflows and tools

Interview Process

  • A 30 minute live coding exercise. Just want to make sure you can code!

  • A paid trial week where you build a simple feature, review PRs, meet with other engineers.

What We Offer

  • Meaningful equity stake in a fast-growing startup

  • Comprehensive health, dental, and vision insurance

  • Flexible remote work arrangements ($500 equipment stipend)

  • Learning and development budget

  • Opportunity to shape the future of financial advisory services through AI

  • Work directly with founders and executive team

About Our Tech Stack

We are an Elixir + Liveview app, running on Kubernetes, hosted on GCP, all defined in Terraform. Our repo and CI is on Github. We use Slack for communication and Notion for documents and project management.

Remote restrictions
  • Must be a resident of United States

About Jump

Jump is empowering financial advisors and their clients to thrive in the age of AI. We're growing incredibly quickly with a team that comes from Google, JP Morgan, BILL, Snowflake, Fidelity, Bain Capital, Harvard, Stanford and other top companies and schools. We can't wait to hear from you!

Jump’s culture

  • High Velocity

  • World Class

  • Direct + Kind + No Drama

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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