---
title: 'Data Analysts at Autoroboto'
canonical: 'https://feeny.ai/job/data-analysts-autoroboto-mountain-view-jvfhczfn5x9s'
type: 'job'
last_seen: '2026-09-12'
---

# Data Analysts at Autoroboto

- **Company:** Autoroboto
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2023-03-21
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/autoroboto/0d499750-8d8d-4d6c-a1df-9d725a46749e

## Job description

AutoRoboto is seeking a Data Analyst to join our engineering team in Mountain View, CA. This role will work with complex product, operational, automation, robotics, and testing-related datasets to help the company evaluate operational systems and make data-driven decisions. The Data Analyst will collect, validate, and analyze operational data; apply quantitative and statistical methods to define operational problems and evaluate alternatives; develop and test analytical models and decision-support workflows; create reports and dashboards; and collaborate with engineering to support analytical tools, automation workflows, and operational improvements. The ideal candidate has a strong quantitative background, programming experience, and the ability to translate complex operational data into clear, actionable insights for technical and business stakeholders.

## Responsibilities

- Collect, query, clean, validate, and structure raw data from internal systems, product and operational data sources, authorized testing workflows, automation tools, and robotics-based data collection processes for downstream analysis, reporting, and modeling.
- Assess data quality, completeness, consistency, and accuracy; identify anomalies, missing values, and data integrity issues; and recommend practical approaches for improving the reliability of operational data collection.
- Perform exploratory, statistical, and operations analysis to identify trends, constraints, correlations, patterns, outliers, and drivers of key operational, product, or business metrics.
- Develop, test, and refine quantitative models, analytical algorithms, and decision-support methods using Python, SQL, and statistical/data modeling techniques.
- Evaluate model performance and alternative operational approaches using appropriate quantitative metrics; document assumptions, limitations, and expected operational impact.
- Collaborate with the engineering team to support analytical prototypes, define data requirements, validate feature logic, test model outputs, and assist with production-ready analytical, automation, and data collection workflows.
- Build reports, dashboards, charts, and visualizations to communicate findings clearly to engineering, product, operations, and business teams.
- Translate analytical findings into actionable recommendations for operational, product, and business improvements, including improvements to data collection, automation, testing, and robotics workflows.
- Prepare written summaries and presentations explaining methodology, findings, risks, operational tradeoffs, and recommended next steps.

## Qualifications

- Bachelor’s degree, or foreign equivalent, in Operations Research, Statistics, Mathematics, Computer Science, Data Science, Engineering, Business Analytics, or a closely related quantitative field.
- 2 years of experience in quantitative analytics, operations analysis, data analysis, data modeling, business analytics, product analytics, or a related analytical role. Additional related experience is preferred but not required.
- Experience using Python and SQL to query, clean, transform, analyze, and model data.
- Knowledge of statistical analysis, operations analysis, data modeling, data quality assessment, exploratory data analysis, and quantitative problem-solving methods.
- Experience creating reports, dashboards, charts, or visualizations using Tableau or similar business intelligence / visualization tools.
- Ability to communicate technical findings, operational tradeoffs, and recommendations clearly to both technical and non-technical stakeholders.
- Strong attention to detail, analytical judgment, and problem-solving ability.

## Preferred Qualifications

- Experience or familiarity with big data or distributed data tools such as Spark, Hadoop, Cassandra, or similar technologies.
- Experience working with engineering teams on data pipelines, analytical prototypes, model validation, automation workflows, robotics workflows, or production data workflows.
- Experience analyzing product, operational, SaaS, automation, robotics, logistics, authorized penetration-testing, or security-assessment datasets.

## About Autoroboto

## Company Overview
- **One-liner**: AutoRoboto is a cross-disciplinary engineering firm that turns cameras into sensors, providing mechanical, electrical, software, data engineering, and security services from prototype to mass production.
- **Entity Type**: Private (Consulting Firm)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2015
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Computers and Electronics Manufacturing; Engineering Services (Mechanical, Electrical, Software); Computer Vision & Machine Learning; Security & Biometric Testing
- **Target customers**: Large tech companies (including a top-five global tech firm as a 12-year client), consumer electronics manufacturers, AR/VR platform builders, robotics companies
- **Mission or purpose statement**: To turn camera input into reliable perception, taking machine learning and computer vision from the research lab to mass-market products at volumes exceeding one million units.

## Products & Services
- **Machine Learning & Computer Vision**: Taking perception ML from research to mass-market products, including gesture sensing, depth sensing, and biometric security. (Service)
- **Robotics & Teleoperation**: Designing custom robotic hardware, teleoperation rigs for VLA model training data, and automated calibration systems. (Service)
- **Data Engineering & Collection**: Running large-scale, real-world data collection pipelines with structured, validated datasets for model training. (Service)
- **Hardware & Software QA**: Validating camera-enabled devices across the full product lifecycle, from prototype to platforms used by hundreds of millions of people. (Service)
- **Manufacturing & Mechanical Consulting**: Custom test fixtures, production-line calibration, and guidance from prototype through final quality assurance. (Service)
- **Security & Biometric Testing**: Offensive security testing for camera-driven systems, including biometric and facial-recognition penetration testing. (Service)

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private consulting firm)
- **Key Metric**: 1M+ units shipped to consumer scale; 100Ms of users on platforms tested; 12 years continuous work for a top-five tech company
- **Notable Clients/Partners**: One of the world’s five largest tech companies (12-year client across multiple teams). Past projects include a gesture-sensing consumer device, a depth-sensing AR platform, and biometric security for ML-powered products released to over a million consumers.
- **Growth Signals**: The company is actively hiring (5 open positions as of late 2025/early 2026) across data engineering, robotics, QA, and security. LinkedIn followers have grown +4.8% year-over-year.

## Competitive Advantages
- **Cross-disciplinary team under one roof**: Mechanical, electrical, and software engineering combined with data, QA, and security — enabling end-to-end development from prototype to mass production.
- **Deep expertise in camera-driven systems**: A singular focus on turning cameras into dependable sensors, a thesis applied across multiple verticals (perception ML, biometrics, factory-line calibration, security).
- **Proven track record at massive scale**: Over a million units shipped and platforms tested with hundreds of millions of users, demonstrating reliability at consumer scale.
- **Long-term client relationships**: A 12-year continuous relationship with a top-five global tech company, indicating deep trust and repeat business.

## Strategic Focus
- **Current priorities**: Growing the team across data engineering, robotics, QA, and security. Continuing to serve large tech clients while expanding into new verticals for camera-driven hardware and software.
- **Direction for growth**: Likely focused on expanding robotics and teleoperation capabilities (especially for VLA model training), data pipeline services, and biometric security testing as AI and camera-based systems proliferate.

## Why Work Here
- **Culture highlights**: A small, flexible team (7 employees) that works on hard, cross-disciplinary problems for real products. The company prides itself on being able to adapt to “ever changing demands.”
- **Remote/hybrid/office policy**: Centrally located in the San Francisco Bay Area. Likely on-site or hybrid given the hardware/robotics focus.
- **Notable perks or engineering culture**: Engineers get to work across every discipline — mechanical, electrical, software, data, and security — on products that ship to millions of users. The team includes alumni from Google, Amazon Lab126, Niantic, and other top tech companies.
- **Open roles (as of early 2026)**: Lead Penetration Tester, Penetration Tester III, Penetration Tester I, Technical Program Manager, Systems Integration Engineer.

## Sources
1. [autoroboto.io](https://autoroboto.io/)
2. [autoroboto.io/jobs](https://autoroboto.io/jobs/)
3. [autoroboto.io/portfolio](https://autoroboto.io/portfolio/)
4. [linkedin.com/company/autoroboto](https://www.linkedin.com/company/autoroboto)
5. [theorg.com/org/autoroboto](https://theorg.com/org/autoroboto)

## Other roles at Autoroboto

- [Penetration Tester / ML Data Collection](https://feeny.ai/job/penetration-tester-ml-data-collection-autoroboto-mountain-view-6rt56fjevk5p) — Mountain View, CA
- [Mechatronic/Robotics Engineer or Systems Integration Engineer - Camera and Sensor Calibration](https://feeny.ai/job/mechatronic-robotics-engineer-or-systems-integration-engineer-camera-and-sensor-cfjd3f4s4dcw) — Mountain View, CA
- [Systems Integration Engineer](https://feeny.ai/job/systems-integration-engineer-autoroboto-mountain-view-28wxk7g7nb66) — Mountain View, CA
- [Operations Associate - Data Collection](https://feeny.ai/job/operations-associate-data-collection-autoroboto-mountain-view-eedp2vnvqr81) — Mountain View, CA
- [Lead Penetration Tester](https://feeny.ai/job/lead-penetration-tester-autoroboto-mountain-view-b05rw2hvn2mk) — Mountain View, CA
- [Software Engineer II/ Senior Software Engineer](https://feeny.ai/job/software-engineer-ii-senior-software-engineer-autoroboto-mountain-view-1wp3tvs76vgz) — Mountain View, CA
- [Penetration Tester I](https://feeny.ai/job/penetration-tester-i-autoroboto-mountain-view-d69bcgawqfnk) — Mountain View, CA
- [Penetration Tester III](https://feeny.ai/job/penetration-tester-iii-autoroboto-mountain-view-z0g40rnk2wmz) — Mountain View, CA
- [Penetration Tester II](https://feeny.ai/job/penetration-tester-ii-autoroboto-mountain-view-rtxzptwh6xqq) — Mountain View, CA
- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-autoroboto-mountain-view-fbrx9je966qc) — Mountain View, CA