Description review
Ambito (ambito.io) — Founding AI
Ambito (ambito.io) — Founding AI · Remote · back to the listing
HR standards
50/100
needs work
Title ↔ description
54/100
needs work
Reads as
Machine Learning Engineer
97% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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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
The listing, marked up
Engineer / Equity Partner — Remote
Ambito is a CRM-connected QBR generator for B2B sales teams. The product is live, with the sales module, template engine, and CRM integrations already built.
We're looking for a founding AI engineer to make the product significantly smarter and broader. This is an equity-only1 role initially (10+ hrs/week), working directly with the founders and our existing technical partner.
You'll work on:
AI product features: Build a native assistant that can answer questions about customer data, surface trends, provide setup guidance, and help generate QBRs. Retrieval, tool use, structured-data queries, evals, and cost control.
Customer Success: Extend the existing framework into account reviews, renewals, and customer health.
Integrations: Harden and expand CRM/CS integrations (Salesforce, HubSpot, etc.).
Product: Make the overall experience faster, simpler, and more AI-native where it actually helps.
We're looking for someone who has shipped LLM features in production, not just demos, and is comfortable with retrieval, embeddings, tool calling, agent workflows, and evaluation. You should also be able to work across React, TypeScript, and Node (Firebase experience is a plus).
You should think like a product engineer: turn varied customer requests into simple, flexible systems and work independently. Sales tech / RevOps / CS experience is a plus. Boston/MA is a plus.
To apply: Send a short note with something you've built using AI and why this problem interests you. No cover letter. LinkedIn or [email protected].
Ambito is a CRM-connected QBR generator for B2B sales teams. The product is live, with the sales module, template engine, and CRM integrations already built.
We're looking for a founding AI engineer to make the product significantly smarter and broader. This is an equity-only1 role initially (10+ hrs/week), working directly with the founders and our existing technical partner.
You'll work on:
AI product features: Build a native assistant that can answer questions about customer data, surface trends, provide setup guidance, and help generate QBRs. Retrieval, tool use, structured-data queries, evals, and cost control.
Customer Success: Extend the existing framework into account reviews, renewals, and customer health.
Integrations: Harden and expand CRM/CS integrations (Salesforce, HubSpot, etc.).
Product: Make the overall experience faster, simpler, and more AI-native where it actually helps.
We're looking for someone who has shipped LLM features in production, not just demos, and is comfortable with retrieval, embeddings, tool calling, agent workflows, and evaluation. You should also be able to work across React, TypeScript, and Node (Firebase experience is a plus).
You should think like a product engineer: turn varied customer requests into simple, flexible systems and work independently. Sales tech / RevOps / CS experience is a plus. Boston/MA is a plus.
To apply: Send a short note with something you've built using AI and why this problem interests you. No cover letter. LinkedIn or [email protected].