2,055,354open jobs
121,377companies
243,472added this week
Browse all
Location
In office (San Francisco)

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Jun 26, 2026. Goodfire scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Goodfire is an artificial intelligence research company focused on mechanistic interpretability, building tools and methods to understand and edit the internal representations of neural networks. Founded in 2023, it develops the Ember interpretability platform, publishes research on model internals and partners with AI developers and scientific organisations to make models more reliable and safe. The company is headquartered in San Francisco, California, United States.

About Goodfire

Goodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.

We believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.

Goodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.

About the role

We're looking for an Account Executive to focus on the LLM market and close strategic partnerships across frontier labs, AI-native companies, and the broader tech domain. This role demands consultative selling ability, technical fluency, and strong market judgment: the ability to understand the language model landscape, build thoughtful account strategies, and identify where Goodfire can help customers build safer, more capable AI systems.

This is a high-autonomy role where you will play a key role in defining our go-to-market motion for the Large Language Model market. You will own strategic accounts end to end: developing market-specific account plans, running discovery with deeply technical buyers, partnering with the Field Team to scope pilots, negotiating commercial terms, and expanding successful engagements across complex technical organizations.

Our buyers are CTOs, Heads of AI, and research leaders. You'll need to be technically curious, precise, and credible enough to earn trust with technical teams.

Key responsibilities

  • Own strategic sales cycles: build pipeline, run discovery, navigate technical and executive stakeholders, negotiate agreements, and close new partnerships.
  • Develop vertical account strategies: map the LLM market, identify the right wedge, and prioritize accounts where Goodfire can create meaningful value.
  • Translate technical roadmaps into commercial opportunities: understand customer needs across model development, evaluation, safety, reliability, perception, planning, autonomy, and deployment.
  • Partner with the Field Team: shape pilots, technical scopes, success criteria, and expansion paths that demonstrate real impact for customers.
  • Build vertical-specific playbooks: test messaging, qualification criteria, deal structures, and repeatable sales motions

What you’ll bring

Required experience

  • Experience owning and closing complex sales cycles with technical or research-oriented buyers.
  • Strong discovery, commercial judgment, and ability to connect a technical product to a concrete customer problem.
  • Ability to learn language models, reasoning systems, agentic workflows, and model evaluation concepts quickly and communicate credibly with engineers, researchers, CTOs, and Heads of AI.
  • Ability to manage a complex technical sales motion while understanding customer workflows and success criteria.
  • High agency, strong written and verbal communication, and comfort operating without a fully mature sales playbook

Preferred qualifications

  • Experience selling AI/ML, infrastructure, developer tools, data platforms, security, or other deeply technical products.
  • Familiarity with language model development, reasoning systems, agentic workflows, model evaluation, or model deployment workflows.
  • Track record selling to CTOs, Heads of AI, research leaders, ML platform teams, or technical executives

Our values

Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.

Put mission and team first

All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.

Improve constantly

We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.

Take ownership and initiative

There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.

Action today

We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.

Where we work

We are hiring for this position in our San Francisco HQ. We are in person 5 days a week, with one company-wide remote week per month.

What we offer

This role offers market competitive salary, equity, and competitive benefits.

Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory - we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.

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.
2,055,354 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

Sales
Similar stack
Same company
San Francisco
$50k – $55k per year · In office · New York
Apply
Store Manager 1 hour ago
In office · Coralville
Apply
$124k – $211k per year · In office · Full-Time · 5+ years exp · Bachelor's Degree · Tampa · Orlando · Jacksonville · Fort Myers · Tallahassee
Apply
$78k – $109k per year · In office · Full-Time · 2+ years exp · Carrollton
Apply
$146k – $248k per year · In office · Full-Time · 5+ years exp · Bachelor's Degree · Portland
Apply
≈ $119k – $276k per year (Estimated) · In office · Confidential · Full-Time · 5+ years exp · Bachelor's Degree · Petah Tikva
Databases
Snowflake
Databricks
Apache Kafka
AI/ML
LangChain
LlamaIndex
Model Context Protocol
Vertex AI
Fine-tuning
AI Agents
NLP
AWS Bedrock
RAG
Ray
OpenAI
Amazon SageMaker
LLM Guardrails
Agentic Workflows
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $29k – $64k per year (Estimated) · Hybrid · 2+ years exp · Moscow
ABAP
AI/ML
Claude
ChatGPT
AI Agents
LLM
Apply
Lead AI Engineer 4 days ago
≈ $26k – $68k per year (Estimated) · In office · 5+ years exp · Bengaluru
Python
AI/ML
LangChain
Prompt Engineering
AI Agents
NLP
TensorFlow
PyTorch
LLM
RAG
Machine Learning
DevOps
GCP
Azure
AWS
Apply
≈ $54k – $91k per year (Estimated) · Hybrid · Master's Degree · Garching bei München
Python
AI/ML
LLM
Machine Learning
Apply
Technical Lead - AI 4 days ago
≈ $26k – $68k per year (Estimated) · In office · 8+ years exp · Bengaluru · Hyderabad · Pune
Python
SQL
Python
pySpark
Databases
Pinecone
FAISS
AI/ML
LangGraph
LangChain
Spark
MLFlow
Scikit-learn
Computer Vision
NLP
TensorFlow
PyTorch
LLM
RAG
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Analytics
Tableau
Power BI
Matplotlib
Apply
In office · San Francisco
AI/ML
OpenAI
Interpretability
Apply
In office · San Francisco
AI/ML
OpenAI
Interpretability
Apply
Platform Engineer 16 days ago
$200k – $400k per year · In office · 2+ years exp · San Francisco
AI/ML
OpenAI
Interpretability
Apply
Research Fellow 22 days ago
≈ $254k – $527k per year (Estimated) · In office · Full-Time · San Francisco
Python
AI/ML
OpenAI
Interpretability
Machine Learning
Apply
People Lead 1 month ago
$250k – $400k per year · In office · San Francisco
AI/ML
OpenAI
Interpretability
Apply
$110k – $200k per year · In office · San Francisco
Apply
$250k – $320k per year · Equity · Hybrid · Full-Time · 10+ years exp · Los Angeles · San Francisco
Apply
≈ $160k – $334k per year (Estimated) · In office · 10+ years exp · Bachelor's Degree · San Francisco
DevOps
GCP
Apply
$255k – $383k per year · Equity · Remote (United States) · Full-Time · 5+ years exp · Seattle · Portland · San Francisco · Salt Lake City
AI/ML
AI Agents
Marketing
Amplitude
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
See all jobs
This is one of many
2,055,354 more open roles from verified company boards, updated every day.