Founding Product Engineer
Mondrio · B2B SaaS
unknown
Salary Range (USD)
$200k - $250k
Location
San Francisco, USA
Visa Support
Not mentioned
Funding Stage
pre-seed
Job Responsibilities
- • Own the full product lifecycle: customer discovery, rapid prototyping, agent-ready specs, shipping via agentic orchestration, observability and evaluations, growth and expansion.
- • Ship multi-agent simulation to emulate the behavior of a buying committee.
- • Implement A2A pricing interactions governed by OPA/Rego policies defined from natural language.
- • Develop generative UX driven by an MCP server with full system capabilities access.
- • Create autonomous quote generation and real-time deal intelligence during sales calls.
- • Serve as the product bridge between founders, pricing experts, and engineering.
Required Skills
significant product engineering expertiseAI-native software development lifecycle competencyfull-stack development across customers, models, server, and clients (web, TUI, chatbots)experience with multi-agent systemsexperience with OPA/Rego policiesownership and high autonomy
Engineering Culture & Tech Stack
OPARegoMCP
high autonomy
significant scope
ownership
product bridge role
AI-native
Raw Post
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Mondrio | Founding Product Engineer | San Francisco | ONSITE | $200k – $250k plus equity
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-43a2-83a....
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