Engineering Manager, AI Platforms

AI in this role

gemini

ai-evaluation

About Us
At Félix, we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked.
We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavor Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award.
Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long. We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence. We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users' lives better. We are building the future, today.
Responsibilities

Manage squad performance, set goals, and track progress while providing direct mentorship to foster a culture of continuous growth.
Lead and develop an engineering team focused on building foundational AI and ML capabilities that support the broader AI organization.
Act as a technical leader, translating AI and ML requirements into scalable technical architectures and platform solutions.
Partner closely with Product and Engineering leadership to define, prioritize, and execute the technical roadmap for AI platform and infrastructure capabilities.
Drive the development of foundational capabilities across areas such as ML pipelines, AI infrastructure, compute, model evaluation, and platform scalability.
Support high-level technical decisions and architectural guidance, ensuring the team delivers performant, reliable, scalable, and optimized solutions.
Work closely with AI and engineering teams to understand their infrastructure needs and build reusable foundational capabilities that enable the development and deployment of AI systems.
Lead people management initiatives, including 1:1s, career development, hiring, and maintaining high motivation levels within the squad.
Optimize development processes and identify opportunities to improve engineering productivity through AI-assisted development tools and practices.
Generate exemplary technical documentation to establish strong foundations for the squad’s long-term success.
Anticipate future AI platform, infrastructure, compute, and architecture requirements as the organization scales.

Requirements

Proven experience in team management, ideally with 3+ years leading direct reports, with a strong track record of leading and developing engineering teams in a fast-paced technology environment.
10+ years of experience in software engineering, machine learning, AI infrastructure, or related technical domains.
Strong experience building or leading ML pipelines, AI/ML platforms, foundational AI systems, or related infrastructure.
Experience working with areas such as compute infrastructure, model evaluation, scalable AI platforms, or machine learning systems.
Strong delivery-oriented mindset, with experience supporting stakeholders and coordinating teams to achieve tangible technical and business results.
Ability to operate at a high technical level, focusing on system design, architecture, and technical problem-solving rather than solely hands-on coding.
Experience working closely with ML engineers, AI engineers, data scientists, or other technical teams.
Excellent communication and interpersonal skills to collaborate effectively with Product, Engineering, and other cross-functional stakeholders.
Ability to inspire and motivate a team, taking full ownership of developers' growth and career development.
Bias for action and ability to operate effectively in a fast-moving environment.
Capacity to anticipate future AI infrastructure, platform, and architecture requirements.

Our tech stack
We are technology agnostic and value candidates with diverse backgrounds. While familiaritywith the following is helpful, your willingness to learn and adapt is paramount:

AI: Google ADK, langfuse, open AI api, Gemini Apis, etc.
Back-end: Python, Flask/Fast, REST APIs, Redis, SQL
Cloud: Google Cloud services (Firestore, Cloud Storage, Pub/Sub, Google Artifact Registry, Cloud Run, BigQuery, Cloud Composer, etc.)
Infrastructure: Kubernetes, Terraform, NewRelic

What We Offer

Base: $232,000 - $280,000. Flexible depending on location and interview performance
Initial stock options grant
Annual performance bonus
Health, dental, and vision plans
401(k) with an employer's match
Continuous learning opportunities
Unlimited PTO
Paid parental leave
Empowering opportunities for growth in a dynamic entrepreneurial environment

Equal Opportunity Employer
At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.
Want to learn more about our privacy practices? Check out our Privacy Policy.

Compensation

The base pay range for this role is $232,000 – $280,000 per year.

How we rate this

Engineering Manager, AI Platforms at Felix rates 61 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Engineering Manager, AI Platforms is an open job at Felix.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Miami, United States.
The job was posted on October 7, 2026.
Seniority: senior.
Applications are handled by Felix. Apply on Felix

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI EvaluationGemini

Questions you could be asked

How do you decide that one model's output is better than another's for a given task?
Walk me through how you've used Gemini in your day-to-day work.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Evaluation and Gemini. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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