698,071open jobs
41,308companies
99,448added this week
Browse all
Salary
$200k – $380k per year
Location
In office (Palo Alto)
Seniority
Staff · 7+ years exp
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.

People Lead

About the role

We are hiring River AI’s first People Lead to own the human resources function and the related systems that keep the company running: HR, payroll, benefits, insurance, and operations. You'll set them up, run them day to day, and keep improving them as we grow.

The role has unusual reach. You will shape nearly everyone's experience here, from a new hire's first day to the environment every employee works in, and you will be trusted with the judgment calls that come with that.

We are a team that is genuinely interested in working smarter. You will have real room to deploy AI to take the repetitive or tedious parts of operations off your plate, so your time goes to meaningful work.

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 

  • Own HR operations end-to-end: HRIS administration (Rippling), onboarding and offboarding, benefits administration, and employee records.
  • Run payroll operations end-to-end, including benefits-payroll integration; review benefits charges and invoices for accuracy.
  • Own company insurance and benefits programs - health, wellness, and business - sourcing providers and comparing quotes as needs change.
  • Coordinate closely with Legal and IT on compliance activities.
  • Engage and manage the implementation of EORs, contractors, and consultants.
  • Build employee training - including policies and norms for an AI-native workplace (acceptable use, data handling).
  • Handle sensitive employee matters and information with professionalism and sound judgment.
  • Own workspace and commercial real estate: lease administration and negotiations, workspace and equipment setup, utilities, physical security, and vendors for networking, deliveries, and the cafeteria program.
  • Support office events and team meetings.
  • Identify recurring problems, put better processes (and AI tooling) in place, and drive issues to resolution.

Skills & Qualifications Minimum Qualifications:

  • You have at least 7 years of experience in HR and have run HR/People operations at a startup or scale-up
  • You know HR platforms like Rippling (required).
  • You handle sensitive situations and information discreetly and build trust across the company.
  • You are genuinely enthusiastic about technology and AI, with a habit of finding tools that make work faster and better.
  • You communicate clearly in writing and in person.
  • You have strong organizational judgment: you can hold many small threads at once and know which one matters most right now.
  • You take a practical, hands-on approach to issues - comfortable troubleshooting on the spot and knowing when to call in a specialist.
  • You are fluent with modern software and AI tooling and are quick to evaluate and adopt new systems.
  • You are able to work full-time on-site to support a fast-growing start-up’s needs.

Preferred Qualifications: (We encourage you to apply even if you don’t meet all of these)

  • Familiarity with equity management platforms (e.g. Carta).
  • IT training or background.

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.
698,071 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

Similar stack
Same company
Palo Alto
$150k – $250k per year • In office • Full-Time • 2+ years exp • Singapore
Python
AI/ML
Reinforcement Learning
AI Agents
LLM
Synthetic Data
Post-training
Machine Learning
DevOps
Docker
Linux
Apply
GTM Engineer 2 days ago
$100k – $150k per year • In office • Full-Time • 2+ years exp • Singapore
AI/ML
Reinforcement Learning
Post-training
Apply
$250k – $500k per year • Equity • In office • Full-Time • San Francisco
AI/ML
Reinforcement Learning
Function Calling
AI Agents
Synthetic Data
GRPO
Post-training
Tool Use
Machine Learning
Apply
$152k – $242k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Santa Clara
AI/ML
AutoGen
LangChain
Reinforcement Learning
CrewAI
LLM
Google ADK
Post-training
NVIDIA NeMo
Management
Discord
Apply
$208k – $260k per year • In office • Full-Time • 5+ years exp • San Francisco
JavaScript
TypeScript
Databases
PostgreSQL
Redis
ElasticSearch
AI/ML
Function Calling
AI Agents
LLM
RAG
Post-training
Scale AI
Tool Use
Frontend
GraphQL
Next.js
React.js
DevOps
Terraform
GCP
Docker
Kubernetes
Platform Engineering
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 • Bachelor's Degree • Palo Alto
Python
Rust
C++
C++
PyTorch C++
AI/ML
LoRA
CUDA Toolkit
Fine-tuning
Reinforcement Learning
JAX
PEFT
PyTorch
Mixture of Experts
CUDA
Pre-training
NCCL
Apply
$200k – $420k per year • In office • Bachelor's Degree • Palo Alto
Python
C++
C++
PyTorch C++
AI/ML
vLLM
CUDA Toolkit
Fine-tuning
SGLang
Accelerate
PyTorch
Mixture of Experts
CUDA
Triton
Pre-training
CUTLASS
Apply
$200k – $420k per year • In office • Bachelor's Degree • Palo Alto
Python
Rust
C++
AI/ML
vLLM
CUDA Toolkit
Reinforcement Learning
SGLang
TensorRT
TensorRT-LLM
Mixture of Experts
CUDA
Pre-training
Speculative Decoding
KV Cache
Apply
$200k – $420k per year • In office • Bachelor's Degree • Palo Alto
Rust
C++
C++
PyTorch C++
AI/ML
JAX
PyTorch
Pre-training
InfiniBand
Apply
Network Engineer 1 day ago
$95k – $168k per year (Estimated) • Remote • 5+ years exp • Bachelor's Degree • Palo Alto
Python
AI/ML
Anomaly Detection
DevOps
Terraform
Ansible
GCP
VMWare
CloudFormation
Datadog
Azure
AWS
SLI/SLO/SLA
Amazon CloudWatch
DNS
DHCP
VPN
BGP
OSPF
Cybersecurity
SOC 2
HIPAA
Zero Trust
Least Privilege
PKI
Management
ITIL
Apply
Network Engineer 1 day ago
$84k – $89k per year • Remote • 5+ years exp • Bachelor's Degree • Palo Alto
Python
AI/ML
Anomaly Detection
DevOps
Terraform
Ansible
GCP
VMWare
CloudFormation
Datadog
Azure
AWS
SLI/SLO/SLA
Amazon CloudWatch
DNS
DHCP
VPN
BGP
OSPF
Cybersecurity
SOC 2
HIPAA
Zero Trust
Least Privilege
PKI
Management
ITIL
Apply
$84k – $199k per year (Estimated) • In office • 6+ years exp • Palo Alto
DevOps
Terraform
GCP
AWS
Akamai
VPN
BGP
OSPF
Management
Agile
Scrum
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 • Bachelor's Degree • Palo Alto
Python
Rust
C++
C++
PyTorch C++
AI/ML
LoRA
CUDA Toolkit
Fine-tuning
Reinforcement Learning
JAX
PEFT
PyTorch
Mixture of Experts
CUDA
Pre-training
NCCL
Apply
See all jobs
This is one of many
698,071 more open roles from verified company boards, updated every day.