- 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.
- 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
- 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
Skills Required
- 3+ years leading direct reports
- 10+ years of experience in software engineering, machine learning, AI infrastructure, or related technical domains
- Experience building or leading ML pipelines, AI/ML platforms, foundational AI systems, or related infrastructure
- Experience with compute infrastructure, model evaluation, scalable AI platforms, or machine learning systems
- Experience supporting stakeholders and coordinating teams to achieve technical and business results
- Experience with system design, architecture, and technical problem-solving
- Experience working with ML engineers, AI engineers, data scientists, or other technical teams
- Excellent communication and interpersonal skills
- Ability to inspire and motivate a team and support developers’ growth and career development
- Bias for action and ability to operate effectively in a fast-moving environment
- Ability to anticipate future AI infrastructure, platform, and architecture requirements
What We Do
At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before. We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and 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, the Félix founders were selected as “Endeavour Entrepreneurs” and were recipients of the CrossTech Fintech Startups Award. We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers.







