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Goodfire

Public-benefit AI interpretability lab building models

Sales Development Representative

Sales Development RepresentativeConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Demonstrated ability to learn technical products quickly and communicate clearly with technical or research-oriented buyers.
  • Excellent written communication and attention to detail, with the ability to produce researched, specific, and compelling outbound communication.
  • High agency and persistence, with comfort operating without a fully built playbook.
  • Strong organizational habits and the ability to manage many high-quality follow-ups without losing important details.

Responsibilities

  • Build high-quality outbound pipeline by identifying and researching AI labs, platform teams, and model builders where Goodfire can create meaningful value.
  • Craft deeply personalized outreach by translating account research, product signals, research milestones, and market context into precise messages that earn attention.
  • Create the first version of the SDR playbook by testing channels, messaging, sequences, and qualification criteria.
  • Partner with GTM and Field teams by bringing prospect signals into account strategy, campaign design, and early sales conversations.
  • Maintain rigorous pipeline operations, including CRM hygiene, handoffs, follow-up, and reporting.

Desired Qualifications

  • Experience in sales development, account executive work, growth, founder-led sales, or another role involving opportunity creation from scratch.
  • Familiarity with AI or machine-learning teams, infrastructure, developer tools, research organizations, or enterprise technical buyers.
  • A track record of excellence in a high-growth startup or similarly ambiguous environment.
  • Experience using research, product usage, community, or event signals to identify high-intent prospects.

About the Company

Goodfire

Public-benefit AI interpretability lab building models

Goodfire is a public-benefit AI interpretability lab in San Francisco that provides a model-design environment to understand, edit, debug, and monitor foundation models rather than treating them as black boxes. Its platform lets teams inspect model decisions, apply interpretability-informed training to reduce errors, and test and monitor changes across deployments. It differentiates itself through its public-benefit mission, collaborations with Arc Institute, Mayo Clinic, and Microsoft, and leadership with researchers, having halved LLM hallucinations and reverse-engineered a biological model to identify Alzheimer's biomarkers. Its goal is to make foundation models safer, more understandable, and easier to manage at scale by promoting transparency and accountability in AI development and deployment.

Company size
51-200
Company stage
Series B
Total funding
$207M
Headquarters
San Francisco, CA
Founded
2024

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