Happy Robot is hiring: Product Data Analyst in San Francisco

Overview

HappyRobot is a platform to build and deploy AI workers that automate communication. Our AI workers connect to any system or data source to handle phone calls, email, messages. We target the logistics industry which relies heavily on communication to book, check on, and pay for freight, primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, and other supply chain enterprises and tech startups. We have raised a Series A from a16z and YC and are growing rapidly. We are looking for rockstars with a relentless drive, energy, and passion for building something greatready to embrace the challenge and thrive in a fast-paced environment.

Responsibilities

• Define, build, and maintain product metrics, dashboards, and data pipelines.
• Build foundational data products, dashboards, and self-serve analytics to scale across the company.
• Develop insightful dashboards to track core metrics and deliver actionable insights to the whole company.
• Build and maintain robust data pipelines and models to ensure data quality.
• Partner with Product, Engineering, and Design teams to inform decisions and translate data into clear insights for product teams.
• Write SQL and Python code to extract, transform, and analyze data; design and run experiments (A/B tests).
• Proactively explore data to identify product opportunities and collaborate with cross-functional teams to ensure data-driven decisions.
• Ensure data quality, reliability, and documentation across analytics efforts.

Must Have

• 3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
• Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
• Advanced analytics experience: segmentation and cohort analysis.
• Proficiency in Python for data analysis and modeling.
• Excellent communication skills: able to explain complex data insights clearly.
• Curious, collaborative, and driven to make an impact in a fast-paced environment.

Nice to Have

• Experience in B2B SaaS or AI/ML products.
• Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
• Exposure to machine learning concepts or AI-powered systems.

Why join us?

• Opportunity to work at a high-growth AI startup, backed by top investors.
• Fast growth backed by a16z and YC, on track for double-digit ARR.
• Ownership and autonomy take full ownership of projects and ship fast.
• Top-tier compensation competitive salary plus equity in a high-growth startup.
• Comprehensive benefits healthcare, dental, vision coverage.
• Work with a world-class team of engineers and builders.

Operating Principles

Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shiftingif something needs fixing, we own it and make it better. We lead with accountability and expect the same from those around us.

Craftsmanship We put care and intention into every task, strive for excellence, and take ownership of the quality and outcome of our work. We deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build.

We are majos Be friendly and have fun with coworkers. Be genuine, honest, kind, and approachable. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.

Urgency with Focus Create the highest impact in the shortest time. Move fast but with focus; prioritize ruthlessly and act decisively to achieve high leverage.

Talent Density and Meritocracy Hire people who raise the average. Reward contribution, not titles, and give ownership to those who earn it. A-players want to work with other A-players.

First-Principles Thinking Strip problems to physics-level facts, challenge dogma, and rebuild solutions from the ground up to innovate and move faster than incumbents.

Data privacy and processing statements: The personal data provided in your application will be processed by HappyRobot, Inc. as Data Controller. By sending your CV, you consent to the processing of your personal data for recruitment purposes. Data will be treated confidentially and eliminated after three months of inactivity in compliance with GDPR. You may exercise data rights by contacting security@happyrobot.ai. For more information, see the privacy policy at https://www.happyrobot.ai/privacy-policy.

Location and compensation

San Francisco, CA and surrounding areas; compensation range varies by experience and location.

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