Job description

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 familiarity with 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 .

Requirements

Must-haves

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.
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 familiarity

Nice-to-haves

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Application prep

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Keywords to mirror

aimlmachine learningapipythonrestsqlkubernetes

Platform: gem
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave