---
title: 'M1 - AI Engineering Lead at Spin Careers'
canonical: 'https://feeny.ai/job/m1-ai-engineering-lead-spin-careers-mexico-t66wa4tmrptk'
type: 'job'
last_seen: '2026-11-06'
---

# M1 - AI Engineering Lead at Spin Careers

- **Company:** Spin Careers
- **Location:** Mexico
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-06
- **Apply:** https://job-boards.greenhouse.io/spin/jobs/4750912005

## Job description

Objective We are seeking an AI Engineering Lead to join our AI Products Chapter and lead a team of AI Engineers that builds, deploys, and operates production-grade AI agents and agentic systems across Spin’s multi-business ecosystem. This is a technical people-leadership role: you combine the credibility of a hands-on engineer, comparable to Staff level, with accountability for delivery, quality, and the growth of your team. You partner with Product, Design, Data Science, and business leaders to turn the AI roadmap into reliable products.

## What you’ll do

- Lead, coach, and grow a team of AI Engineers (up to IC4): onboarding, performance check-ins, feedback, and career development within Spin's career framework.
- Own the delivery of your team’s AI agents roadmap: prioritize with Product Managers, plan, sequence, and commit to realistic outcomes.
- Set the technical direction with the Staff AI Engineers: architecture reviews, engineering standards, and build-vs-buy decisions (framework, model provider, retrieval, orchestration).
- Be accountable for production reliability: on-call readiness, incident response, post-mortems, and root-cause fixes.
- Set and uphold the quality bar for agentic systems: evals, guardrails, observability, and monitoring.
- Review architecture and critical code, and stay close enough to the technology to challenge and unblock your team.
- Partner with Product Managers, Designers, Data Scientists, and business teams from early discovery through launch and iteration.
- Manage capacity, headcount planning inputs, and cost of cloud and model usage (FinOps) for your team.
- Remove blockers, align stakeholders, and communicate status, risks, and trade-offs clearly to leadership.
- Hire and onboard: define profiles, run interviews, and calibrate the technical bar with Talent.
- Promote an AI-First culture, knowledge sharing, and responsible AI practices across the chapter.

## What we’re looking for

- Seniority: proven experience leading engineering teams while staying technically hands-on (M1 level), with technical depth comparable to IC5/Staff.
- Evidence of production, not proofs of concept: you have shipped and operated an AI agent, copilot, or agentic system serving real users, and can speak concretely about what broke, how you found out, and how you fixed it.
- People leadership: you have managed, coached, and grown engineers up to Sr level, handled performance conversations, and built a healthy team culture.
- Hands-on experience with agent frameworks/orchestrators (e.g., LangGraph, LangChain, or equivalent), LLM provider APIs (Claude, OpenAI, Gemini), vector databases, and eval frameworks.
- A strong software engineering foundation: you can review code and architecture and reason about an agent as a distributed system with failure modes, not just a model call.
- Judgment on trade-offs particular to agentic systems: latency vs. quality, autonomy vs. control, cost vs. accuracy.
- Delivery ownership: planning, prioritization, and stakeholder alignment without needing a dedicated Technical Program Manager.
- Ability to influence cross-functional decisions with Product, Design, and business stakeholders.
- Experience working in agile, collaborative, multidisciplinary environments; clear communication with technical and business audiences.

We are very excited if you also...

- Experience with Databricks, AWS, or MLflow in production environments.
- Experience designing or leading evaluation and guardrail systems for LLM-based products.
- Experience hiring across countries and in regulated sectors (banking / fintech), or with financial products, operations, support, growth, or loyalty.
- Interest in human-in-the-loop systems, AI trust, explainability, and responsible AI.

What will you find?

- A company building AI-First capabilities at scale.
- An AI Products Chapter focused on creating agents, copilots, and intelligent experiences for multiple tribes and squads.
- Real, high-impact challenges affecting clients, businesses, operations, and the ecosystem.
- Space to experiment, propose, and build new interaction patterns.
- Multidisciplinary teams with a focus on product, data, technology, and user experience.
- A clear growth path within the Y career framework (management track).

If you are excited about leading the team engineering the future of interaction between humans, AI, and digital products, we want to meet you! En Spin estamos comprometidos con construir un lugar de trabajo diverso e inclusivo.

Creemos en la igualdad de oportunidades y promovemos un entorno libre de discriminación por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad o cualquier otra condición legalmente protegida.

## About Spin Careers

## Company Overview
- **One-liner**: Spin provides dockless electric scooters and micromobility services while, through its parent FEMSA, is expanding into digital payments and financial technology.
- **Entity Type**: Private (subsidiary of FEMSA, acquired by Ford Motor Company in 2018 and later integrated into FEMSA’s ecosystem)
- **Headquarters**: San Francisco, California, USA (with strong operational presence in Mexico)
- **Founded**: 2016
- **Founders**: Not publicly listed; early team included former Y Combinator and Uber/Lyft veterans

## Core Business
- Primary industry/industries: Micromobility (electric scooters) & Digital Payments/Financial Technology
- Target customers: B2G (cities, universities), B2C (riders), and B2B (FEMSA’s retail/consumer base for payment products)
- Mission or purpose statement: “Making life easier” by removing day‑to‑day barriers and creating progress through technology that generates economic and social impact

## Products & Services
- **Spin Electric Scooters**: Dockless e‑scooters (models S‑7, Spin 6) available in 60+ U.S. markets and 25+ universities; app‑based unlock, GPS tracking, and designated parking hubs.
- **Spin Hubs / Charging Stations**: Parking and charging stations with digital wayfinding screens to improve reliability and safety.
- **NetPay (FEMSA payments)**: Payment processing and financial services solutions (apparent from job listings under Spin Careers), including SPEI compliance, RPA, and cybersecurity products.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private subsidiary)
- **Key Metric**: Operating in 60+ cities and campuses across the U.S.; ~434 employees (per Built In); ongoing expansion into digital payments
- **Notable Investors/Partners**: Ford Motor Company (acquired in 2018), FEMSA (current parent), partnerships with major cities (San Francisco, Los Angeles, Washington DC, etc.) and universities
- **Growth Signals**: Active hiring for 30+ roles (software engineering, payments, data, sales) primarily in Mexico; shift toward fintech under FEMSA; goal to become carbon negative by 2025; 20+ Spin Safe infrastructure projects completed

## Competitive Advantages
- **Regulatory expertise**: Led creation of the first station‑less mobility permit system with Seattle DOT; strong compliance‑first approach.
- **Integrated ecosystem**: Backed by FEMSA, one of Latin America’s largest corporations, providing access to a massive retail and consumer base for digital payment products.
- **Dual focus**: Combines physical mobility infrastructure with digital financial services, creating cross‑selling and data synergies.

## Strategic Focus
- **Fintech expansion**: Building out payments, SPEI compliance, RPA, and cybersecurity capabilities in Mexico.
- **Sustainable mobility**: Reaching carbon neutrality and expanding safe infrastructure (Spin Hubs, improved vehicle design).
- **Digitalization of FEMSA**: Using Spin’s tech talent to power broader FEMSA initiatives (loyalty, payments, data architecture).

## Why Work Here
- **Culture & Values**: Embraces diversity, defaults to trust, acts with ownership, and works on the road ahead (long‑term mindset). Described as a “value‑based team” with a focus on growth, celebration, and belonging.
- **Work Model**: Hybrid workspace (combination of remote and on‑site); many roles listed as “Remoto” (remote) in Mexico.
- **Perks & Benefits**: Performance bonuses, family medical leave, health/dental/vision insurance, commuter benefits, free snacks/drinks, paid holidays/sick days, company‑sponsored outings.
- **Engineering Culture**: Opportunity to work on real‑world tech (RPA, IAM, DevOps, cybersecurity, mobile, data architecture) within a large corporate ecosystem while maintaining startup agility.

## Sources
1. [spin.app](https://www.spin.app/) – Official site, product descriptions, market footprint, carbon goals
2. [spin.app/about-us](https://www.spin.app/about-us) – Team background, vehicle details, history
3. [job-boards.greenhouse.io/spin](http://job-boards.greenhouse.io/spin) – Careers page, values, FEMSA affiliation, job listings
4. [builtin.com/company/spin](https://builtin.com/company/spin) – HQ, employee count, acquisition history, perks

SUGGESTED_INDUSTRY: mobility (using "transportation-services" as closest match, but note fintech element)

## Other roles at Spin Careers

- [IC4 - Sr Business Analyst](https://feeny.ai/job/ic4-sr-business-analyst-spin-careers-mexico-8gef6h8vf3he) — Mexico
- [IC4 - Sr AI Engineer](https://feeny.ai/job/ic4-sr-ai-engineer-spin-careers-mexico-bytky6egzy6r) — Mexico
- [IC3 - Business Analyst](https://feeny.ai/job/ic3-business-analyst-spin-careers-mexico-5e5cqtxaqqzd) — Mexico
- [IC2 - Business Analyst](https://feeny.ai/job/ic2-business-analyst-spin-careers-mexico-7afywm3an5qa) — Mexico
- [CRM Automation & Personalization Lead](https://feeny.ai/job/crm-automation-personalization-lead-spin-careers-mexico-gttyep15y6j2) — Mexico
- [IC3 - Software Engineer Backend](https://feeny.ai/job/ic3-software-engineer-backend-spin-careers-mexico-rfk0j8ard2bw) — Mexico
- [IC3 - Software Engineer Backend](https://feeny.ai/job/ic3-software-engineer-backend-spin-careers-mexico-fgd3z4ggcm9z) — Mexico
- [IC6 - Sr Staff Engineer](https://feeny.ai/job/ic6-sr-staff-engineer-spin-careers-mexico-wcgbg96ebf2c) — Mexico
- [Experimentation Specialist](https://feeny.ai/job/experimentation-specialist-spin-careers-mexico-ajtd9c1vwvaj) — Mexico
- [IC6 - Sr Staff Data & AI Architect](https://feeny.ai/job/ic6-sr-staff-data-ai-architect-spin-careers-mexico-htbsenm73ja2) — Mexico