About Happyrobot
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, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.
We raised a Series A round from a16z and YC and we’re growing very fast.
We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.
About the Role
We’re hiring a Go-To-Market / Revenue Operations Analyst to help drive data-informed decision-making across Sales and Customer Success. You’ll be instrumental in improving our GTM efficiency, forecasting growth, and building the operational foundation of our revenue engine.
What You’ll Do
Partner with GTM leaders to analyze performance across the sales and customer funnel
Build dashboards, models, and reports to track KPIs (pipeline, conversion, CAC, LTV, churn, etc.)
Support sales forecasting, territory planning, and quota setting
Drive operational improvements through tooling, automation, and process design
Own and manage GTM systems (CRM, lead routing, attribution, etc.)
Identify revenue insights and trends to influence strategic decisions
Help define metrics, reporting cadence, and executive-level updates
What We’re Looking For
5+ years of experience in RevOps, Sales Ops, Strategy, BizOps, or similar roles in B2B SaaS
Strong analytical skills; Excel/Sheets expert with working knowledge of SQL and BI tools (e.g., Looker, Tableau)
Deep understanding of sales and marketing funnels, and how to measure and optimize them
Experience working with or managing CRM systems
Strong communicator who can translate data into action
Comfortable working independently in a fast-paced, ambiguous environment
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 & Autonomy - Take full ownership of projects and ship fast.
Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
Comprehensive Benefits - Healthcare, dental, vision coverage.
Work With the Best - Join a world-class team of engineers and builders
Our Operating Principles
Extreme Ownership
We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.
Craftsmanship
Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.
We are “majos”
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. 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 amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.
Talent Density and Meritocracy
Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.
First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.
The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
For more information, visit https://www.happyrobot.ai/privacy-policy
By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.