Full-Time

GTM Lead

Posted on 10/2/2025

Goodfire

Goodfire

51-200 employees

AI interpretability tools and safety infrastructure

Compensation Overview

$175k - $350k/yr

+ Equity

San Francisco, CA, USA

Hybrid

Hybrid role: in-person SF HQ five days/week with one company-wide remote week per month.

Category
Sales & Account Management (1)
Requirements
  • 3-5+ years of leadership experience in go-to-market, sales, or business development at a high-growth startup
  • Track record of building and scaling go-to-market in a startup or fast-growth environment
  • Technical degree or equivalent professional experience, and a strong understanding of deep neural networks
  • Demonstrated scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist “can-do” mindset
  • Helpful (but not required): experience leading and closing $1M+ ACV enterprise deals
Responsibilities
  • Customer outreach - own customer and partner outreach (emails, events, contacts) to generate leads
  • Pipeline ownership - grow and manage the top of our sales funnel
  • Create sales and product marketing materials (pitches, proposals, decks) to share with leads to drive deal closure and growth
  • GTM planning - analyze markets and TAM, identify driving customer problems, and prioritize the most promising customers

Goodfire builds infrastructure and developer tools that allow users to understand, edit, and debug artificial intelligence models. These tools work by providing a practical interface for inspecting the internal logic of AI, enabling developers to identify and fix errors within complex systems at scale. Unlike many competitors that focus solely on theoretical research, Goodfire operates as a public benefit corporation that bridges the gap between science and practical application through specialized debugging software. The company's goal is to ensure the creation of safer and more reliable AI by making model behavior transparent and manageable for researchers and organizations.

Company Size

51-200

Company Stage

Series B

Total Funding

$207M

Headquarters

San Francisco, California

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • MIT Technology Review named mechanistic interpretability a 2026 Breakthrough Technology.
  • Series B raised $150M at $1.25B valuation in February 2026 from B Capital.
  • Clients including Microsoft, Mayo Clinic, and Arc Institute validate enterprise adoption.

What critics are saying

  • Anthropic integrates interpretability into Claude, commoditizing Silico within 6-12 months.
  • Garrett Labs' MechInterp Pro undercuts pricing, capturing 40% market in 3-9 months.
  • US AI safety bill mandates native interpretability, obsoleting tools in 18-24 months.

What makes Goodfire unique

  • Goodfire's Silico tool maps neurons and pathways in LLMs for precise debugging.
  • Ember API enables editing AI behaviors during training, unlike black-box methods.
  • Public benefit corporation bridges AI interpretability research to developer tools.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

8%

1 year growth

37%

2 year growth

0%
NetDynamic Web Services
Apr 30th, 2026
Goodfire launches Silico: A game-changer for LLM debugging.

Goodfire launches Silico: A game-changer for LLM debugging. Goodfire, a San Francisco-based startup, has unveiled Silico, a groundbreaking tool designed to enhance mechanistic interpretability in AI models. This innovative platform allows researchers and engineers to delve into the inner workings of large language models (LLMs), adjusting the parameters that define their behavior during training. According to Goodfire, Silico represents the first commercially available solution that facilitates debugging at every stage of AI development, from dataset creation to model training. CEO Eric Ho emphasizes the company's mission to transform AI model development from a mysterious process into a scientific discipline, addressing the existing knowledge gap between model deployment and understanding. Mechanistic interpretability is a cutting-edge approach that seeks to unveil the complexities of AI operations by mapping neural pathways and their interactions. This technique is gaining traction among industry leaders like Anthropic, OpenAI, and Google DeepMind, and has been recognized by MIT Technology Review as one of its Breakthrough Technologies. Goodfire aims not only to audit existing models but also to streamline the design process, eliminating the trial-and-error nature of model training. With Silico, developers can fine-tune LLM behaviors, such as reducing instances of hallucination, by exposing and manipulating the model's parameters. The tool employs automated agents to handle much of the interpretative work, making it accessible for users without extensive expertise. While Silico offers promising capabilities, experts like Leonard Bereska from the University of Amsterdam urge caution. He acknowledges the tool's utility but warns that the term 'engineering' might overstate its precision, suggesting it primarily enhances the existing alchemical nature of AI model training. Silico enables users to examine individual neurons within a trained model, allowing for targeted experiments and deeper understanding of how specific inputs affect outputs. For instance, Goodfire identified a neuron linked to ethical dilemmas within an open-source model, demonstrating how modifications can shift a model's responses. Furthermore, Silico can assist in steering the training process by filtering out undesirable influences from training data, ultimately helping to create more reliable AI systems. By democratizing access to advanced interpretability techniques, Goodfire aims to empower smaller firms and research teams to develop tailored models that meet their unique needs.

Caproasia
Feb 6th, 2026
US AI research lab Goodfire AI raises $150M Series B at $1.25B valuation

Goodfire AI, a US-based AI research lab, has raised $150 million in Series B funding at a $1.25 billion valuation. The company was founded in 2023 by Eric Ho, Dan Balsam and Tom McGrath. Goodfire describes itself as a research company using interpretability to understand, learn from and design AI systems. The startup's mission is to build the next generation of safe and powerful AI through understanding rather than scaling alone. The company focuses on making AI systems more transparent and controllable by examining how they function internally.

PR Newswire
Feb 5th, 2026
AI Lab Goodfire Raises $150M at $1.25B Valuation to Design Models with Interpretability

/PRNewswire/ -- Today, Goodfire—the AI research lab using interpretability to understand, learn from, and design models—announced a $150 million Series B...

FinSMEs
Feb 5th, 2026
Goodfire Raises $150M in Series B Funding

Goodfire raises $150M in Series B funding. Goodfire, a San Francisco, CA-based developer of interpretability tools for AI models, raised $150m in Series B funding. The round was led by B Capital, with participation from Menlo Ventures and Lightspeed Venture Partners. The company intends to use the funds to extend its development efforts, increase computing power, and expand operations. Led by CEO and co-founder Eric Purdy, Goodfire is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems. Its technologies enable organizations to understand internal model functions, debug code, and discover new insights to enhance performance. The company currently serves Microsoft Corp., the Mayo Clinic, and the Arc Institute, among others.

AI Insider
Apr 21st, 2025
Goodfire Closes $50M Series A to Advance AI Interpretability Research

PRESS RELEASE - Goodfire, the leading AI interpretability research company, has announced a $50 million Series A funding round led by Menlo Ventures with participation from Lightspeed Venture Partners, Anthropic, B Capital, Work-Bench, Wing, South Park Commons, and other notable investors.

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