---
title: 'Operator at Avra'
canonical: 'https://feeny.ai/job/operator-avra-sao-paulo-0gned0b07xbc'
type: 'job'
last_seen: '2026-09-12'
---

# Operator at Avra

- **Company:** Avra
- **Location:** São Paulo, Brazil
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-21
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/avra/d4897719-d561-4ae7-94e2-31277943ba54

## Job description

## About Avra

Avra is a predictive AI platform for enterprise decision-making. We are a frontier AI lab building our own relational foundation models from the ground up (no third-party wrappers) to power credit, growth, and fraud decisions for Latin America's leading enterprises. Our customers include the continent's largest banks and marketplaces. Founded in 2024 by Viviane Meister and Bruno Alano (ex-OpenAI), and accelerated by NVIDIA, AWS, and Google. We're a 25 person team. We’re all builders. Join us!

## The role

This is our first hire in the Operations team. We're looking for an Operator who is high agency and tech-native. You'll sit at the center of how Avra runs. It's an internal role. You will make the company work better. You'll own the cross-functional projects that don't fit neatly into any one team. Your work will span revenue operations, delivery, go-to-market, finance, and people. You will take high-stakes problems, and fix them. You will always focus your attention on the highest-impact area for our scaling company, and you understand that area will shift over time. You design real solutions and ship things that stick. You reach for best practice externally before building from scratch (you never reinvent the wheel). You treat AI tools as infrastructure, not novelty, they're how we move faster. This role is for you if you've earned your seniority by delivering. If you're ambitious, organized, and technically curious, it's a rare chance to help build an AI-first business from the ground up.

## Responsibilities

- Deliver cross-functional projects. You take ownership & make it happen. Examples: you'll build our Revenue Operations function. You'll decrease Time to Production by improving coordination across GTM, Forward Deployment and Tech. You'll make Avra more reliable by building the right tooling to monitor SLAs working with Product & Tech.
- Own operational execution: design and continuously improve processes that keep us moving. You'll spot what's broken or missing before anyone asks. You're not scared of running a process until it is fully automated, or filling gaps til tooling is in place.
- Turn data into decisions: you ask "so what." You're not satisfied with surface-level answers. You help different teams make decisions.
- Build with AI and critical thinking. Use modern AI tooling to build internal apps, automations and workflows. You do this with judgment: you understand the limits, you check the outputs. You build in a way that is open & maintainable (not a black box)

## What we're looking for

- A track record of delivering. You've been promoted because you consistently ship high-quality operational work.
- A track record of delivering through influence. You have ran projects where you had no direct authority over the people whose work you depended on (and you still delivered)
- You have already built trusted tooling, flows, dashboards. And you have recently used AI to build these processes. Important as you will create systems that let a 25-person team behave like a much larger one.
- Direct and collaborative communication. You get to the point and you influence across every level, from specialists to the CEO.
- A strong sense of ownership. You take end-to-end responsibility, nothing falls through the cracks on your watch. You think about your work as improving key company metrics (instead of process for the sake of it)

## Experience and qualifications

- Experience: ~4 years or more. With clear evidence of progression driven by operational delivery.
- Industry: experience in hyper-growth tech start-ups in agile, cross-functional teams. Consulting, product, or biz/rev-ops backgrounds are a plus (you need to have operated, not just advised)
- Academic Background: Bachelor's degree, or any body of work that shows long-term commitment and continuous learning.
- Tech-native skills. You are familiar with Slack, Google, Linear, Claude, etc.

## About Avra

## Company Overview
- **One-liner**: Avra is a frontier AI lab building a predictive platform for enterprise decisions, powered by a Graph Foundation Model that models the relational economy.
- **Entity Type**: Private (early-stage startup)
- **Headquarters**: São Paulo, Brazil
- **Founded**: 2024
- **Founders**: Bruno Alano (CEO, co-founder) and Viviane Meister (CTO, co-founder)

## Core Business
- **Primary industry**: Enterprise AI / Decision Intelligence (credit, fraud, growth, monitoring)
- **Target customers**: B2B, Enterprise (banks, fintechs, marketplaces, SMB lenders)
- **Mission**: “Model relationships over time. Improve the decision systems enterprises already run.”

## Products & Services
- **Avra Graph Foundation Model**: A pre-trained temporal knowledge graph covering Brazil’s economy – companies, individuals, events, ownership, judicial events, geography. Fine-tuned per customer workspace for credit scoring, fraud detection, and propensity modeling.
- **Avra API & SDK**: Managed endpoints (mTLS) for prediction and explanation, with tenant isolation and audit trails.
- **Avra Playground**: Browser-based environment to experiment with decision flows, replay traffic, and inspect evidence.
- **Enterprise Deployment**: Shadow deployments alongside incumbent models, with batch and real-time inference surfaces.

## Market Standing
- **Valuation / Market Cap**: Not publicly available
- **Key Metric**: Total funding amount not disclosed; backed by “frontier funds across two continents”
- **Notable Investors/Partners**: Not named explicitly, but investors are described as “frontier funds across two continents”. Team alumni include OpenAI, Stone, Itaú, McKinsey, Embraer, XP, HSBC, Santander.
- **Growth Signals**: Small team (~20 people) with 7 open roles; remote-first with HQ in São Paulo; pilot results showing 1.8× NII on Avra-scored cohort, +90% conversion lift, +5.4 p.p. ROC AUC on held-out test set.

## Competitive Advantages
- **Graph-native reasoning**: Models relationships over time rather than flat rows, capturing risk dimensions orthogonal to traditional features (18–22% correlation with existing features).
- **Inductive generalization**: Scores entities never seen before by reasoning through counterparties and graph position.
- **Brazil-native foundation**: Trained on local semantics (CNPJs, corporate groups, informal networks) and legal events.
- **Developer-first, enterprise-ready**: API, SDK, playground, tenant isolation, ISO 27001 in progress, LGPD compliant.

## Strategic Focus
- Expand the Graph Foundation Model platform across more enterprise decision use cases (credit, fraud, growth, monitoring).
- Grow the team (~20 today) with research scientists, data engineers, and deployment strategists.
- Maintain a “small on purpose” approach with deep stack ownership from data ingest to live decision.

## Why Work Here
- **Culture**: “Small team, deep stack, real ownership.” Engineers, scientists, and operators own the work end-to-end.
- **Remote / Hybrid**: Remote-first with hybrid options in São Paulo.
- **Team Background**: Colleagues from OpenAI, Stone, Itaú, McKinsey, Embraer, XP, HSBC, Santander.
- **Perks**: Frontier research that ships into production; publish-grade research with real business impact; no contractors on the model path.
- **Open Roles**: 7 positions including Research Scientist, Senior Data Engineer, Staff Software Engineer, Deployment Strategist, Marketing Lead, Enterprise Sales.

## Sources
1. [avra.ai/about](https://avra.ai/about)
2. [avra.ai/careers](https://avra.ai/careers)
3. [avra.ai](https://avra.ai/?r=0)
4. [avra.ai/en/about](https://avra.ai/en/about)
5. [jobs.ashbyhq.com/avra](https://jobs.ashbyhq.com/avra)

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