---
title: 'Deployment Strategist at Avra'
canonical: 'https://feeny.ai/job/deployment-strategist-avra-sao-paulo-zf85c1zmxq5y'
type: 'job'
last_seen: '2026-09-12'
---

# Deployment Strategist at Avra

- **Company:** Avra
- **Location:** São Paulo, Brazil
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/avra/c366b087-3b3e-462f-9ac2-5f0b5b18d801

## 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

As a Deployment Strategist, you will drive adoption of the Avra platform and model in some of Brazil's largest companies. We are looking for someone with energy and a strong sense of ownership to help our clients generate impact with SMBs. You will be on the front line. You will be embedded with a handful of key customers. Your mission is to quickly grasp the nuances of a client's business and identify their pressing challenges. You will translate those into actionable insights for both the client and the Avra team. You will work with technical specialists and be able to translate this into business insight for executive teams. The Avra platform will deliver outsized results for our clients because you understand our customers environment too well. This is a role for someone who can bring structure to chaos, who is comfortable asking contrarian questions, who knows what traction feels like and is driven by tangible impact. This role reports directly into Operations.

## Responsibilities

- Forward deployment & deep customer engagement: become embedded with a handful of clients. You will go on-site and meet the customer. You will own implementation, account management, customer service, customer training.
- Problem identification: get into the operational weeds with customers to deeply understand their workflows. You will identify key problems and understand their data and relevant datasets. You will not be satisfied with surface-level answers.
- Strategic prioritization: Synthesize your findings to identify the most critical issues and opportunities, then prioritize them to drive maximum value for the client.
- You'll be part of a double act: Work hand-in-hand with a Deployment Engineer who can turn your insight into the technical solution the customer needs, at speed.
- Provide active feedback for Avra's product suite: you will bring insight from the field back to Avra's product and engineering teams. You will drive quick iteration based on real-world usage and feedback. This will improve our existing solution and impact our future product offerings.
- Bridge the gap between Experts and Executive teams: Effectively communicate with stakeholders at all levels, from data specialists and operational teams to C-level executives. You will translate detail into business impact and vice versa.
- Sales enablement and execution: Provide the sales team with the context and opportunities needed to jointly execute upselling and expansion within the client account.

## What we're looking for

- You have a "contrarian" mindset — you challenge the status quo, think outside the box and you bring well-founded, complementary perspectives to our customers
- A collaborative attitude - you're not a solo operator. You achieve results through excellent communication skills & building relationships. You're a team player
- A curious mind and a critical thinker. You come up to speed quickly and focus on what matters. You confront open-ended problems and operate effectively in unstructured environments. You are never satisfied with easy answers
- You can communicate and influence across different organizational levels, from specialists to the CEO. You have a strong ability to dive into data, summarize findings. You get straight to the point.
- Experience with operational processes and a knack for understanding why they exist and how they can be improved.

## Experience and qualifications

- Experience: 4-5 years of work experience
- Industry: experience working in hyper growth tech start-ups in agile, cross-functional teams. A background in consulting or product management is a plus, but must display a contrarian / out-of-the-box streak!
- Academic Background: Bachelor’s degree. Alternatively, a project or work experience that shows you can commit to a long term undertaking, that you can invest in understanding building blocks and seek continuous learning.

## 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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