---
title: 'Data Analyst, Supply Chain at Serve Robotics'
canonical: 'https://feeny.ai/job/data-analyst-supply-chain-serve-robotics-mexico-city-9m5509fz33aq'
type: 'job'
last_seen: '2026-09-07'
---

# Data Analyst, Supply Chain at Serve Robotics

- **Company:** Serve Robotics
- **Location:** Mexico City, Mexico
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-22
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/serverobotics/1e52efd9-1515-4468-9999-6428c1128e46

## Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

## WHO WE ARE

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

The Data Analyst drives data management workflows and performs data analysis. This role connects our internal systems with various logistics partners, builds data pipelines, calculates metrics, and creates dashboards & alerts to highlight operational bottlenecks. This position leverages AI tools and frameworks to build faster, create scalable API connections, and manage the data architecture that keeps Serve’s supply chain running.

## JOB DUTIES

- Develop and manage API-based workflows to ensure seamless communication between our core business platforms and external logistics partners.
- Design, build, and maintain automated pipelines to retrieve and route data across various internal and external databases and tools.
- Perform hands-on data analysis (e.g., tracking average shipping times, inventory flows, etc.) and build automated spreadsheets and/or dashboards for stakeholders.
- Implement error handling, alerting, etc. to ensure data workflows run consistently and accurately.
- Partner with Supply Chain, Operations, Finance, and Engineering stakeholders to define KPIs, reporting requirements, and data quality standards across supply chain processes.
- Conduct root cause analysis on operational issues and recommend process improvements that reduce cost, improve inventory accuracy, and increase logistics performance.
- Create and maintain technical documentation for data models, integrations, workflows, and reporting systems to support long term scalability and knowledge sharing.

EXPERIENCE, QUALIFICATIONS, & SKILLS

Required Experience, Qualifications, and Skills

- 5 years of hands-on experience in data analysis, data engineering, workflow automation, or similar technical roles.
- Strong general knowledge of data structures and data management, both for big data using cloud databases and small data using excel & google sheets.
- Advanced knowledge of SQL and at least one other programming language (ideally Python or Javascript).
- Proficiency in modern AI-driven development including AI coding tools (e.g., Claude Code, GitHub Copilot, Codex), Model Context Protocol (MCP), configuration of Skills, sub-agents, etc. and familiarity with popular AI orchestration frameworks such as Langgraph, OpenAI API/SDK, Gemini API/SDK, etc.
- Experience designing data models and transforming data from multiple operational systems into clean, reliable datasets for reporting and analysis.
- Strong analytical and problem solving skills, with the ability to translate complex data into actionable business recommendations for nontechnical stakeholders.
- Demonstrated ability to independently manage multiple projects, prioritize competing requests, and deliver high quality work in a fast paced environment.

Preferred Experience, Qualifications, and Skills

- Google Cloud Platform (GCP): Specifically Cloud Run, BigQuery, and other supporting services.
- Google Workspace / G Suite: Specifically Google Sheets and Google Apps Script.
- NetSuite: Specifically working with the NetSuite API.
- Supply Chain Tech Experience: Applying these data and technology skills specifically within supply chain, logistics, or e-commerce operations.
- Experience working with third party logistics (3PL), fulfillment, inventory management, or transportation management systems.
- Familiarity with data observability, monitoring, and data quality frameworks in production environments.

## About Serve Robotics

## Company Overview
- **One-liner**: Serve Robotics develops and operates AI-powered, low-emission autonomous sidewalk robots for last-mile delivery, primarily for food and retail.
- **Entity Type**: Public (NASDAQ: SERV, IPO March 2024)
- **Headquarters**: Los Angeles, California, United States
- **Founded**: 2021 (spun out of Postmates / Uber)
- **Founders**: Ali Kashani (Co-founder, CEO), Touraj Parang (Co-founder, President & COO), Euan Abraham (Co-founder & VP of Software), Dmitry Demeshchuk (Co-founder & VP of Product and Design)

## Core Business
- **Primary industry**: Autonomous vehicle technology / Robotics / Last-mile delivery logistics
- **Target customers**: B2B — enterprise partners like Uber Eats and 7-Eleven; also directly serves restaurants and local businesses via robots
- **Mission or purpose statement**: “We go beyond self interest, always taking our community into account. We empower each other with trust and autonomy to solve big problems and build a sustainable future.”

## Products & Services
- **Serve Autonomous Delivery Robot**: Level 4 autonomous sidewalk robot designed for contactless delivery. Cargo capacity suitable for food and small goods, operates at walking speed, 98% lower CO₂ emissions than a car.
- **Delivery-as-a-Service**: End-to-end robotic delivery service integrated with Uber Eats and other platforms. Robots are deployed in fleets, managed remotely by Serve’s operations team.
- **Proprietary Autonomy Software & Data Flywheel**: End-to-end perception, planning, and control stack trained on real-world delivery data.

## Market Standing
- **Valuation / Market Cap**: ~$336.6 million (as of mid-2025) – market cap fluctuates with stock price (currently ~$7.95/share)
- **Key Metric** (Private funding & public revenue): Total Funding $397.7 million; Annual Revenue ~$2.7 million (based on 2024/2025 data)
- **Notable Investors / Partners**: NVIDIA (lead investor in venture round), Uber (corporate round & commercial partner), Magna International (manufacturing partner), 7-Eleven (enterprise customer)
- **Growth Signals**: Fleet grew to 400+ robots across five U.S. metros (LA, Miami, Dallas, Atlanta, Chicago); over 100,000 deliveries completed; signed contract with Uber Eats to deploy up to 2,000 robots; headcount grew 102.9% YoY to 303 employees; active job postings up 43.9% YoY.

## Competitive Advantages
- **Level 4 autonomy**: One of the first AV companies to achieve true Level 4 autonomy in sidewalk delivery.
- **Low‑emission, pedestrian‑scale design**: Robots emit 98% less CO₂, weigh 90% less, and have 99% less kinetic energy than a car — enabling regulatory acceptance and community goodwill.
- **Exclusive partnerships**: Multi‑year commercial agreement with Uber Eats (up to 2,000 robots) and presence on 7-Eleven’s delivery network.
- **Manufacturing scale**: Partnership with Magna International (Tier 1 automotive supplier) ensures high‑volume production quality.
- **Patent portfolio**: CEO Ali Kashani holds 26+ patents in robotics and AI.

## Strategic Focus
- **Nationwide scale‑up**: Expanding to additional U.S. markets beyond the current five metros.
- **Fleet density**: Increasing robot count per market to improve service economics and delivery density.
- **Data flywheel**: Using real‑world delivery data to improve autonomy, reduce cost per mile, and unlock new use cases.
- **Manufacturing ramp**: Scaling production line with Magna to reduce unit cost and increase deployment speed.
- **New verticals**: Exploring grocery, retail, and other last‑mile categories beyond restaurant delivery.

## Why Work Here
- **Culture & values**: Mission‑driven, collaborative, trust‑based culture. Core values include “Deliver delight,” “Empower people,” and “Be mission driven.” Employees report high autonomy and a focus on sustainability.
- **Growth trajectory**: Headcount grew 102% in the last year; 59 active job postings across engineering, operations, product, and finance.
- **Work environment**: Hybrid/office presence in Los Angeles (HQ); operations roles require field work. Remote/hybrid policy not explicitly stated but likely flexible for engineering.
- **Notable perks & recognition**: Fast Company “15 Tech Startups to Watch” (2022), TED Conference featured talk (2020), EY Entrepreneur Of The Year Bay Area Award (2025). Strong alumni pipeline from Uber, Cruise, Apple, Amazon — learning from top robotics talent.
- **Engineering culture**: Emphasis on building safe, real‑world autonomous systems. Tech stack includes AI, computer vision, sensor fusion, and cloud infrastructure.

## Sources
1. [serverobotics.com](https://www.serverobotics.com/)
2. [serverobotics.com/company](https://www.serverobotics.com/company/index.html)
3. [serverobotics.com/careers](https://www.serverobotics.com/careers)
4. [linkedin.com/company/serverobotics](https://www.linkedin.com/company/serverobotics)
5. [jobs.ashbyhq.com/serverobotics](https://jobs.ashbyhq.com/serverobotics)

## Other roles at Serve Robotics

- [Electrical Engineer](https://feeny.ai/job/electrical-engineer-serve-robotics-redwood-city-01061b00pbwx) — Redwood City, CA
- [Service Technician III](https://feeny.ai/job/service-technician-iii-serve-robotics-los-angeles-wdbwq0q93vjr) — Los Angeles, CA
- [Regional Operations & Fleet Expansion Manager](https://feeny.ai/job/regional-operations-fleet-expansion-manager-serve-robotics-gold-coast-awqk69fbnggg) — Gold Coast, Australia
- [Field Operations Associate](https://feeny.ai/job/field-operations-associate-serve-robotics-dallas-xb5yh1cz1v9a) — Dallas, TX
- [Operations Associate - Part Time (San Jose, CA)](https://feeny.ai/job/operations-associate-part-time-san-jose-ca-serve-robotics-san-jose-we1vc3kspj4c) — San Jose, CA
- [Operations Associate](https://feeny.ai/job/operations-associate-serve-robotics-washington-420mbmx4m8k0) — Washington, DC
- [Electrical Engineer](https://feeny.ai/job/electrical-engineer-serve-robotics-penang-gd37gdyfppf6) — Penang, Malaysia
- [Senior Manager, Hardware Engineering](https://feeny.ai/job/senior-manager-hardware-engineering-serve-robotics-redwood-city-x4h56yew80pn) — Redwood City, CA
- [Sr. Technical Program Manager, Hardware/Software Integration](https://feeny.ai/job/sr-technical-program-manager-hardware-software-integration-serve-robotics-rmawvht5mx5b) — United States
- [Field Development Test Associate](https://feeny.ai/job/field-development-test-associate-serve-robotics-los-angeles-p21zqwsw0ewn) — Los Angeles, CA