2,139,925open jobs
136,419companies
254,950added this week
Browse all
Salary
$200k – $380k per year
Location
In office (San Francisco, Palo Alto)
Seniority
Staff
Visa
H-1B filings in 12 months: 1

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Sep 22, 2026. River AI scores A on the Alion truth index.

Overview
Company
Impact
Profile match
River AI is an artificial intelligence company headquartered in Palo Alto, California, and founded in 2026 by xAI co-founder Igor Babuschkin. The company is building what it calls an open AI stack, spanning personal AI models, tooling for developers to train and serve their own models, and a custom system on chip with an onboard machine learning accelerator. It raised 1.1 billion dollars led by General Catalyst with strategic investment from NVIDIA and AMD Ventures.

About the Role

At River AI, we are building an entirely new kind of AI company. As we move quickly across research, engineering, product, hardware, legal, security, HR, and go-to-market, we need people who can help the company move with clarity, speed, and fluidity.

We are looking for a high-agency, highly versatile problem solver to work closely with all functions on River’s most important operational challenges. You will identify what matters, bring structure to ambiguity, drive alignment, and keep critical work flowing from idea to execution.

This is not a traditional operations role. You will operate across functions and levels, removing friction and creating connectivity so that information, decisions, and workflow where they need to go. 

The work will evolve with the company. You should be equally comfortable shaping a strategy, untangling a complex problem, building a new operating rhythm, or rolling up your sleeves to get something across the finish line.

Who we are

At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are building the full stack required for people and organizations to create AI models of their own - from training infrastructure and open-weight model post-training to personal hardware and next-generation interfaces.

We are scientists, engineers, and builders from the industry’s leading technology companies and AI labs. Our team has experience scaling consumer products to hundreds of millions of users and building the infrastructure behind frontier AI systems.

What You’ll Do

  • Partner directly across the founding on the company’s highest-priority problems and initiatives.
  • Take ambiguity from “what’s going on?” to “here’s what we should do” to “here’s how we’ll make it happen.”
  • Build connectivity across research, engineering, product, hardware, and go-to-market, legal, HR, finance, IT, and security, ensuring teams have the context and clarity needed to move quickly.
  • Establish low-friction operating mechanisms that improve decision-making, communication, and execution as River scales.
  • Serve as a trusted thought partner, bringing clear analysis, sound judgment, and actionable recommendations.
  • Anticipate needs and connect dots across the organization and surface opportunities, risks, and dependencies that may not be visible within a single function.
  • Leverage AI tools to research, analyze, synthesize, automate, and execute faster.
  • Execute to drive important work forward.

Skills & Qualifications

Minimum Qualifications

  • Significant experience in operations, strategy, program management, chief of staff, consulting, or a similarly high-ownership role.
  • Experience operating in a fast-paced startup or high-growth technology environment.
  • Exceptional problem-solving and judgment, with the ability to quickly assess a situation and determine a practical path forward.
  • Comfortable with significant ambiguity and able to create structure where none exists.
  • Strong cross-functional instincts and the ability to build relationships and alignment across teams.
  • Exceptional written and verbal communication skills, with the ability to distill complexity into clear decisions and actions.
  • High agency, strong ownership, and a bias toward action.
  • Comfortable moving between strategic thinking and hands-on execution.
  • Strong data fluency and technical curiosity.
  • Strong fluency with modern AI technologies and tools, including LLMs, agents, and AI-powered productivity.
  • Demonstrated ability to use AI effectively to accelerate research, analysis, decision-making, automation, and execution.

Preferred Qualifications

  • Experience working closely with founders or executive leadership at a high-growth technology company.
  • Experience in AI, machine learning, developer infrastructure, hardware, or another highly technical environment.

Logistics & Benefits

  • Location:  Palo Alto, California (on-site, Monday-Friday)
  • Compensation:   Depending on experience and skills, the expected base pay is $200,000-$380,000 USD per year, plus equity.
  • Benefits:   Comprehensive health, dental, and vision insurance; unlimited PTO.
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.
2,139,925 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 Continue with Google
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

Operations
Similar stack
Same company
San Francisco
Hybrid · Nationals only · Full-Time · 8+ years exp · United States
Management
Microsoft Project
Jira
Agile
Scrum
Apply
$52k per year · In office · 1+ year exp · High School Diploma · Chandler
Apply
In office · 8+ years exp · Bachelor's Degree · Cincinnati
Apply
In office · 8+ years exp · Bachelor's Degree · Cincinnati
Apply
$97k – $181k per year · In office · Full-Time · 5+ years exp · Associate's Degree · United States
Apply
≈ $24k – $35k per year (Estimated) · Hybrid · Full-Time · 1+ year exp · Bachelor's Degree · France
AI/ML
Machine Learning
Apply
≈ $109k – $204k per year (Estimated) · Hybrid · Full-Time · Bachelor's Degree · United Kingdom
AI/ML
Claude Code
LLM
OpenAI Codex
Context Engineering
LLM Guardrails
Machine Learning
DevOps
CI/CD
Apply
Rotational AI Intern 16 days ago
≈ $37k – $61k per year (Estimated) · In office · Internship · High School Diploma · United States
Python
SQL
AI/ML
Computer Vision
NLP
Knowledge Graph
Recommender Systems
Machine Learning
Apply
$197k – $316k per year · In office · Full-Time · 13+ years exp · Bachelor's Degree · Bellevue
Databases
Redis
ClickHouse
Apache Iceberg
Cassandra
Apache Kafka
Apache Pulsar
AI/ML
Copilot
Hadoop
Spark
ChatGPT
Flink
Ray
Machine Learning
DevOps
GCP
OpenTelemetry
Datadog
Prometheus
AWS
Grafana
SLI/SLO/SLA
Amazon Kinesis
Analytics
ETL/ELT
Apply
$132k – $252k per year · Hybrid · Nationals only · Full-Time · 10+ years exp · Bachelor's Degree · Hartford
Python
Databases
Databricks
AI/ML
Copilot
ChatGPT
MLFlow
Computer Vision
NLP
TensorFlow
PyTorch
Gemini
LLM
Anomaly Detection
Amazon SageMaker
Machine Learning
DevOps
Azure
CI/CD
AWS
Apply
IT Lead 1 month ago
$280k – $360k per year · In office · 5+ years exp · San Francisco · Palo Alto
AI/ML
Post-training
Machine Learning
DevOps
IAM
Apply
$200k – $420k per year · In office · 5+ years exp · Bachelor's Degree · Austin
Python
C++
SystemVerilog
AI/ML
AI Agents
Pre-training
Agentic Workflows
DevOps
CI/CD
Chips/EDA
UVM
Synopsys ZeBu
Cadence Palladium
Synopsys HAPS
Cadence Protium
Apply
People Lead 2 months ago
$200k – $380k per year · In office · 7+ years exp · Palo Alto
AI/ML
Post-training
Apply
$200k – $420k per year · In office · Bachelor's Degree · Palo Alto
AI/ML
Fine-tuning
RLHF
Reinforcement Learning
JAX
Multimodal AI
Diffusion Models
PEFT
Transformers
PyTorch
Pre-training
Edge AI
Machine Learning
Apply
$200k – $420k per year · In office · 5+ years exp · Bachelor's Degree · Palo Alto · Austin
Python
C++
SystemVerilog
AI/ML
Pre-training
Chips/EDA
Synopsys PrimeTime
Synopsys Fusion Compiler
Synopsys Verdi
Apply
Chief of Staff 1 day ago
$120k – $180k per year · In office · Full-Time · San Francisco
Apply
$168k – $282k per year · Equity · Remote (United States) · Full-Time · 5+ years exp · Bachelor's Degree · San Francisco · New York · Washington
Python
SQL
Databases
PostgreSQL
Snowflake
AI/ML
Spark
AI Agents
Agentic Workflows
DevOps
CI/CD
Apply
≈ $179k – $366k per year (Estimated) · In office · 8+ years exp · Bachelor's Degree · San Francisco
DevOps
GCP
Apply
$124k – $148k per year · In office · Full-Time · 4+ years exp · High School Diploma · San Francisco
Apply
In office · Full-Time · 4+ years exp · High School Diploma · San Francisco
Apply
See all jobs
This is one of many
2,139,925 more open roles from verified company boards, updated every day.