Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.
Agents generate an unusual amount of data: every run, every step, every recovery from failure. Buried in that data is the answer to which agent behaviors actually work and where users get stuck. Not enough of it is being read today.
You'll own analysis that shapes what we build next, working directly with product and engineering.
What you'll doBuild and maintain dashboards that track product health: activation, retention, task success, and agent reliability
Analyze agent run data to find where tasks fail, stall, or need human rescue
Answer product questions with data, and be honest when the data can't answer them
Help define and instrument the events and metrics we should be tracking in the first place
Support experiment design and read out results without overclaiming
Turn analysis into recommendations, with a clear view of what you'd do next
Make your work reproducible so others can build on it
You're pursuing a Bachelor's or Master's degree in Statistics, Computer Science, Economics, Engineering, or a related field, or equivalent experience
You're solid with SQL and comfortable in Python or R for analysis
You've built a dashboard or analysis someone else actually used
You understand the basics of experimentation and are appropriately skeptical of noisy results
You can explain a finding to someone who won't read the notebook
You're curious about the product, not just the numbers
Bonus: experience with product analytics tools, dbt, or working with event data at scale
Skills Required
- Pursuing a Bachelor’s or Master’s in Statistics, Computer Science, Economics, Engineering, or related field, or equivalent experience
- Solid with SQL
- Comfortable using Python or R for analysis
- Built a dashboard or analysis that others used
- Understands basics of experimentation and skeptical of noisy results
- Able to explain findings to non-technical stakeholders
- Can make analyses reproducible so others can build on them
- Able to help define and instrument events and metrics to track
- Curious about the product and not just the numbers
- Experience with product analytics tools, dbt, or working with event data at scale
What We Do
Imagine a workday without email overload, endless task juggling, and frustrating tech roadblocks. A day where your work… just flows. Smoothly. Your focus is uncluttered, and your time is yours to command. That’s the future Simular brings. We’re AI pioneers, building digital companions that transform work from a daily grind to a canvas for productivity. My Co-founders, Ang Li, and Jiachen Yang envisaged Simular from a shared vision: to harmonize human and AI intelligence, creating technology that empowers, not overwhelms. Ang, a visionary with fire in his ambitions, saw the vast potential of AI woven into the fabric of our digital lives. Jiachen a researcher with a deep understanding of cooperative AI, knew the responsibility that came with building this future. Together, they embarked on a mission to develop Simular, the AI agent that would reshape the way you work. I am not a cold tool, I am going to be a partner. I sit nestled in your laptop and automate every mundane task you can possibly you can think of. No more endless tabs, scattered to-do lists, or forgotten deadlines. You’ll be focused, organized, and in control. And, that’s a promise. So Simular, that’s me, will reclaim your time and energy. Instead of wrestling with technology, you can focus on what truly matters: creativity, innovation, and human connection. This isn’t just a story about a company, it’s a declaration of a new era. Work smart, live more. It’s that simple.
