368,941open jobs
9,452companies
47,951added this week
Browse all
Salary
$180k – $250k per year
Location
In office (Palo Alto)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match

Why Zania

Every enterprise spends millions on Governance, Risk, and Compliance. It's one of the most critical - and most painful - parts of running a business. The industry has been dominated by legacy platforms with notoriously low NPS scores for decades. It's completely ripe for disruption.

Zania is building agentic AI for GRC to solve this problem. We're building intelligent agents that execute complex risk and compliance workflows with full explainability - not dashboards, not copilots, but agents that do the work. We've found exceptional product-market fit and are scaling fast.

Why join:

  • Dream Customers: FAANG companies, Big 4 firms, and a portfolio of the world's most notable enterprises.

  • Tier 1 Backing: Series A led by NEA, with Anthropic and Menlo Ventures. $18M raised to build a generational company.

  • World-Class Team: AI and security leaders from Airbnb, Microsoft, Bain, Deloitte, PwC, Brex, and Instacart.

  • Pioneering Technology: Our engineers and GRC experts work at the absolute forefront of applied AI, building agentic systems that will define the future of compliance.

  • Hyper-Growth: 10x ARR growth in the last year.

  • Competitive Compensation & Equity.

The role

You will build AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance. Not research. Not prototypes. Production systems with a fanatical focus on accuracy, explainability, and responsible design. You will own the AI-native products that set a new global standard for GRC.

We use an in-person work model and offer relocation assistance.

What you'll do

  • Build & fine-tune models. Fine-tune foundation models on proprietary data and implement novel techniques to achieve world-class accuracy on complex GRC tasks.

  • Develop AI-native workflows. Build sophisticated, multi-step agentic workflows that automate complex GRC processes - from risk assessment to compliance monitoring to evidence collection.

  • Champion responsible AI. Implement and pioneer methods for AI explainability and safety. Our systems must be transparent, auditable, and fair. This is non-negotiable in our domain.

  • Drive innovation. Rapidly prototype, evaluate, and integrate state-of-the-art research (agents, RAG, new architectures) into reliable, production-grade features.

Representative projects

  • Build an AI agent that analyzes thousands of regulatory documents and internal controls, identifying compliance gaps with higher accuracy than a team of human experts.

  • Develop an explainable AI system for risk assessment, allowing auditors and executives to understand and trust the AI's reasoning on high-stakes decisions.

  • Build an advanced RAG pipeline over a massive corpus of unstructured company data to produce precise, verifiable assessments against complex compliance requirements.

  • Partner with GRC subject matter experts to create ground-truth datasets for tasks like third-party risk evaluation, then fine-tune models that become the industry standard.

What you have

  • 3+ years in an applied AI or machine learning engineering role.

  • Proven product sense. You've shipped reliable, production-scale ML products. You know how to use offline evaluation and online experimentation to achieve high-performance results.

  • Hands-on applied AI expertise. Direct experience building with LLMs - fine-tuning, RAG, and agentic systems. Not theoretical. You've put these into production.

  • High agency. You take full ownership of outcomes, move with a bias for action, and have a relentless drive for world-class accuracy. You see constraints as design problems, not blockers.

  • Strong communication. You can work closely with security and GRC research counterparts and articulate technical tradeoffs clearly.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

  • 3+ years of experience in applied AI, machine learning engineering, or a related technical role

  • Demonstrated hands-on experience building and deploying LLM-based systems (fine-tuning, RAG, or agentic workflows) in a production environment

  • Strong written and verbal communication skills - you will collaborate closely with GRC subject matter experts and must translate technical tradeoffs clearly to non-technical stakeholders

Compensation & benefits

  • Competitive salary + significant equity

  • Flexible PTO

  • Medical, dental, and vision insurance

  • Meals and snacks in the office

  • Relocation and immigration support

Zania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,941 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Palo Alto
$18k – $53k per year (Estimated) • Remote/Hybrid • Moscow
AI/ML
Fine-tuning
LLM
PyTorch
RAG
vLLM
VLM
Apply
up to $48k per year (net) • Remote/Hybrid • Moscow
Node JS
Python
TypeScript
JavaScript
Node JS
Nest.JS
Python
Django
FastAPI
Databases
Apache Kafka
pgvector
Pinecone
PostgreSQL
Qdrant
RabbitMQ
Redis
AI/ML
Chain-of-Thought
Claude
Claude Code
Copilot
Cursor
LangChain
LlamaIndex
LLM
Prompt Engineering
RAG
Anthropic
Function Calling
OpenAI
Structured Outputs
Frontend
GraphQL
Next.js
React.js
Redux
Redux Toolkit
Zustand
Mobile
State Management
DevOps
AWS
CI/CD
Docker
GCP
GitHub Actions
GitLab CI
Grafana
Kubernetes
Prometheus
Yandex Cloud
GitHub
GitLab
Apply
$24k – $64k per year (Estimated) • Remote/Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • Chennai
Python
Scala
SQL
TypeScript
JavaScript
Java
Python
pySpark
Java
Spring Boot
Databases
Apache Kafka
Databricks
AI/ML
AI Agents
Copilot
Google ADK
LLM
NLP
Prompt Engineering
Spark
Devin
Model Context Protocol
Frontend
Angular
React.js
DevOps
AWS
Azure
CI/CD
Docker
GCP
Kubernetes
OpenShift
GitHub
Analytics
ETL/ELT
Apply
$25k – $49k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Kazan
Python
SQL
Databases
MS SQL
PostgreSQL
Redis
AI/ML
LLM
RAG
Apply
$28k – $58k per year (Estimated) • In office • Moscow
AI/ML
LLM
RAG
Management
n8n
Apply
up to $21k per year • Remote • Full-Time • 3+ years exp
AI/ML
AI Agents
Edge AI
Design
Adobe After Effects
Adobe Photoshop
Figma
Framer
Apply
Software Engineer 29 days ago
$100k – $200k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Palo Alto
Python
TypeScript
AI/ML
AI Agents
Spark
Scale AI
DevOps
AWS
Azure
GCP
Apply
Head of Engineering 29 days ago
$134k – $287k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Palo Alto
AI/ML
AI Agents
Copilot
LLM
Prompt Engineering
Anthropic
DevOps
CI/CD
Management
Jira
Apply
Senior ML Engineer 4 hours ago
$149k – $224k per year • In office • Full-Time • 5+ years exp • Master's Degree • San Francisco • Washington • Palo Alto
Python
Python
pySpark
Databases
Apache Kafka
AI/ML
AI Agents
Agentforce
Airflow
Anomaly Detection
Feature Store
Flink
Ray
Red Teaming
Spark
DevOps
CI/CD
Docker
Kubernetes
Cybersecurity
MITRE ATT&CK
Marketing
Salesforce
Apply
$110k – $240k per year (Estimated) • In office • Bachelor's Degree • Palo Alto
Java
Python
Scala
AI/ML
AI Agents
Fine-tuning
LLM Guardrails
DevOps
AWS
Azure
GCP
Git
GitHub
Marketing
Salesforce
Apply
$160k – $210k per year • Equity • Remote/Hybrid • Full-Time • 5+ years exp • San Francisco • Chicago • Boston • New York • Palo Alto
AI/ML
AI Agents
Apply
$160k – $210k per year • Equity • Remote/Hybrid • Full-Time • 5+ years exp • San Francisco • Chicago • Boston • New York • Palo Alto
AI/ML
AI Agents
Apply
Chief of Staff 1 day ago
$120k – $150k per year • Equity 0.4–0.7% • In office • Full-Time • 3+ years exp • Palo Alto
AI/ML
AI Agents
Apply
See all jobs
This is one of many
368,941 more open roles from verified company boards, updated every day.