Description review

Mondrio | Founding Product Engineer | San Francisco | ONSITE | $200k – $250k plus equity

Mondrio · San Francisco · back to the listing

HR standards

50/100

needs work

Title ↔ description

84/100

solid

Reads as

Full-Stack Engineer

96% confident

How others title the same work

Large employers

  • Software Development Engineer, Influencer Management Adobe
  • Senior Software Engineer (EAA) Coinbase
  • Senior Software Engineer, Full Stack (Coinbase Advisor - Agentic Trading) Coinbase
  • Senior Software Engineer (Typescript), AI Clients: Duo CLI GitLab
  • Grafana Labs | Senior/Staff Software Engineer - AI / Agentic apps | 100% Remote (US + Canada) | Grafana Labs

Startups

  • Founding Software Engineer Aglide
  • Product Engineer (Founding team) Aglide
  • AiMi | Full Stack AI Engineer | Remote(Everywhere) | Full-time AiMi
  • Staff Software Engineer AiPrise
  • ALBERT | REMOTE ALMOST ANYWHERE IN THE WORLD | Hiring principal and distinguished ALBERT

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Mondrio (https://mondrio.io) builds agentic pricing management: AI agents plus pricing experts that keep B2B pricing current rather than a one-off, one-time exercise. The founding team ran 150+ pricing engagements before starting the company and are translating that expertise to shape the next frontier of pricing in the agentic era.
The role comes with significant scope and high autonomy. You will own the full product lifecycle: customer discovery -> rapid prototyping -> agent-ready specs -> shipping via agentic orchestration -> o11y and evals -> growth & expansion.
Here are some domains you will ship:
- Multi-agent simulation to emulate the behavior of a buying committee
- A2A pricing interactions governed by OPA/Rego policies defined from natural language
- Generative UX driven by a MCP server with full system capabilities access
- Autonomous quote generation and real-time deal intelligence during sales calls
We don't have PMs or product designers so you serve as the product bridge between the founders, pricing experts, and engineering. If you're a mature engineer, looking to work with a very senior/staff team across the stack: customers, models, server, clients (web, TUI, chatbots), evals, then this is the role for you. In short, the role is ideal for someone who has significant product engineering expertise and has sharpened their SDLC competency to be AI-native.
Apply at https://ats.rippling.com/mondrio/jobs/9fefe011-331a-43a2-83ab-9c396ac8371c.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 66 before penalties). Reviewed 21 Sep 2026.