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.

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

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)

• 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.