2,033,780open jobs
120,212companies
251,548added this week
Browse all
Salary
$302k – $335k per year
Location
Hybrid (San Francisco, Mountain View, United States)
Visa
H-1B filings in 12 months: 262 · for this role: 126 · green card filings: 3
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Aug 31, 2026. OpenAI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
OpenAI is an American artificial intelligence research and deployment company founded in 2015 with the mission of ensuring that artificial general intelligence benefits all of humanity. It develops the GPT family of large language models and turns them into consumer and developer products, including the ChatGPT assistant, the Sora video model, the Codex coding agent and a commercial API used by millions of developers. Structured as a public benefit corporation controlled by a non-profit foundation, the company is backed by Microsoft and SoftBank and operates from San Francisco.

About the Team

The Applied AI Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI.

The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership.

About the Role

We are looking for an Applied AI Engineering Manager, Startups to lead and scale the Startups Applied AI Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI.

This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams.

In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus.

In this role, you will:

  • Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers.

  • Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies.

  • Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment.

  • Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth.

  • Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases.

  • Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster.

  • Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations.

  • Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes.

  • Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.

  • Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage.

You might thrive in this role if you:

  • Have proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution.

  • Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments.

  • Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations.

  • Have experience creating scalable operating models, not just managing one-off customer escalations.

  • Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs.

  • Demonstrate strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment.

  • Can translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations.

  • Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or OpenAI’s long-term platform strategy.

  • Are personally committed to fostering the safe and beneficial development of AI.

Success in this role may look like:

  • Increased startup account usage, including tokens, requests, and production workloads.

  • A strong cadence of successful customer sprints and production-oriented technical engagements.

  • High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins.

  • Creation of repeatable startup deployment patterns, starter packs, templates, and reference architectures.

  • Strong Product and Research feedback loops informed by startup customer needs and emerging use cases.

  • A healthy, high-performing team with strong prioritization, clear operating mechanisms, and the ability to scale coverage across a high-demand segment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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.
2,033,780 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

AI/ML
Similar stack
Same company
San Francisco
≈ $118k – $222k per year (Estimated) · Remote (United States) · Secret · 12+ years exp · Bachelor's Degree · Chicago
AI/ML
AI Agents
Management
Agile
Apply
≈ $107k – $203k per year (Estimated) · Remote (United States) · Secret · 10+ years exp · Bachelor's Degree · Chicago
Databases
Databricks
AI/ML
MLFlow
Vertex AI
AI Agents
Kubeflow
Amazon SageMaker
Feature Store
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $132k – $249k per year (Estimated) · Remote (United States) · Secret · 12+ years exp · Bachelor's Degree · Chicago
Databases
Databricks
AI/ML
MLFlow
Vertex AI
AI Agents
Kubeflow
Amazon SageMaker
Feature Store
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Kubernetes
Apply
≈ $122k – $243k per year (Estimated) · In office · Secret · 10+ years exp · Bachelor's Degree · Chicago
Python
AI/ML
Embeddings
AI Agents
RAG
Semantic Search
Agentic Workflows
DevOps
Azure
CI/CD
AWS
Kubernetes
Apply
$143k – $238k per year · Equity · Hybrid · Full-Time · 10+ years exp · Bachelor's Degree · Chicago · Reston
Databases
ElasticSearch
AI/ML
Hadoop
Spark
Fine-tuning
AI Agents
RAG
Knowledge Graph
LLM Guardrails
Machine Learning
DevOps
Terraform
GCP
Kibana
CloudFormation
Logstash
Prometheus
Azure
CI/CD
AWS
Docker
Kubernetes
Grafana
Apply
Python (Senior) 2 days ago
≈ $35k – $79k per year (Estimated) · In office · 3+ years exp · Moscow
Python
SQL
Python
SQLAlchemy
FastAPI
Aiohttp
AI/ML
LangGraph
LangChain
Qwen
LLM
OpenAI
Anthropic
DevOps
Rest API
gRPC
GitHub Actions
GitLab CI
Azure
CI/CD
Jenkins
Git
Management
Jira
Apply
Lead ML Engineer 2 days ago
≈ $27k – $63k per year (Estimated) · Remote (India) · 5+ years exp · India
Python
Databases
Weaviate
Milvus
Pinecone
FAISS
AI/ML
LangChain
LlamaIndex
Embeddings
Scikit-learn
AI Agents
NLP
TensorFlow
PyTorch
LLM
RAG
OpenAI
Hugging Face
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
In office · Contractor · Bachelor's Degree · Singapore
Python
AI/ML
Vertex AI
Fine-tuning
Embeddings
Prompt Engineering
Multimodal AI
AI Agents
LLM
RAG
Reranking
OpenAI
LLMOps
Semantic Search
Agentic Workflows
DevOps
Azure
CI/CD
Apply
AI Native Developer 2 days ago
≈ $108k – $200k per year (Estimated) · Hybrid · Full-Time · 8+ years exp · Plano
JavaScript
AI/ML
LangGraph
AutoGen
LangChain
Claude
Prompt Engineering
Function Calling
AI Agents
LLM
RAG
OpenAI
Anthropic
Frontend
React.js
DevOps
Azure DevOps
Azure
CI/CD
Management
Agile
Apply
AI Engineer 2 days ago
≈ $12k – $30k per year (Estimated) · In office · 1+ year exp · Bengaluru · Gurgaon
Python
Databases
PostgreSQL
Redis
AI/ML
LangChain
Claude
Fine-tuning
AI Agents
NLP
spaCy
Pandas
LLM
OpenAI
OCR
Machine Learning
DevOps
GCP
GitHub Actions
Datadog
CI/CD
AWS
Docker
Kubernetes
Grafana
Apply
$380k – $500k per year · In office · Full-Time · San Francisco
AI/ML
OpenAI
Interpretability
Machine Learning
Apply
$347k – $445k per year · Hybrid · Full-Time · 7+ years exp · Master's Degree · San Francisco
Python
SQL
AI/ML
Scikit-learn
AI Agents
TensorFlow
PyTorch
Time Series
OpenAI
Machine Learning
Apply
$217k – $241k per year · In office · Full-Time · San Francisco
AI/ML
AI Agents
OpenAI
OpenAI Codex
LLM Guardrails
Agentic Workflows
Apply
$380k – $500k per year · In office · Full-Time · San Francisco
AI/ML
OpenAI
Machine Learning
Apply
$381k – $510k per year · Hybrid · Full-Time · San Francisco
AI/ML
Knowledge Distillation
AI Agents
OpenAI
SFT
Post-training
Model Distillation
Machine Learning
Apply
$320k – $360k per year · Hybrid · Full-Time · 10+ years exp · San Francisco · New York
Python
JavaScript
Java
TypeScript
SQL
Java
Spring Boot
Gradle
Databases
PostgreSQL
Redis
DynamoDB
AI/ML
Spark
XGBoost
TensorFlow
Pandas
PyTorch
Hugging Face
Metaflow
Machine Learning
Frontend
GraphQL
React.js
Vite
Radix UI
Storybook
esbuild
DevOps
Terraform
Helm
Istio
Datadog
AWS
Kubernetes
Cloudflare
Amazon EKS
Amazon Kinesis
Analytics
Matplotlib
QA
Playwright
Apply
$320k – $360k per year · Hybrid · Full-Time · 10+ years exp · New York · San Francisco
Python
JavaScript
Java
TypeScript
SQL
Java
Spring Boot
Gradle
Databases
PostgreSQL
Redis
DynamoDB
AI/ML
Spark
XGBoost
TensorFlow
Pandas
PyTorch
Hugging Face
Metaflow
Machine Learning
Frontend
GraphQL
React.js
Vite
Radix UI
Storybook
esbuild
DevOps
Terraform
Helm
Istio
Datadog
AWS
Kubernetes
Cloudflare
Amazon EKS
Amazon Kinesis
Analytics
Matplotlib
QA
Playwright
Apply
$125k – $150k per year · In office · 4+ years exp · San Francisco
Python
SQL
Python
Flask
Databases
PostgreSQL
AI/ML
Pandas
DevOps
AWS
Docker
Kubernetes
Analytics
ETL/ELT
Management
Jira
Apply
Driver 4 hours ago
≈ $62k – $121k per year (Estimated) · In office · 5+ years exp · High School Diploma · San Francisco
Apply
$177k – $239k per year · Equity · In office · Full-Time · 7+ years exp · Bachelor's Degree · Seattle · San Francisco · Dallas
SQL
Databases
Apache Kafka
AI/ML
Hadoop
Machine Learning
DevOps
AWS
Amazon Kinesis
Cybersecurity
GDPR
HIPAA
Apply
See all jobs
This is one of many
2,033,780 more open roles from verified company boards, updated every day.