3 часа назад
Technical Product Marketing Manager (AI)
175 000 - 300 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Technical Product Marketing Manager (AI) (Interpretability): Translating Goodfire's AI interpretability research and platform capabilities into product positioning, launches, demos, technical content, and field enablement with an accent on technical storytelling for ML engineers, AI researchers, and executive buyers. Focus on turning research breakthroughs into clear customer-facing narratives, building proof points and sales materials, and analyzing buyer workflows and competitive alternatives.
Location: San Francisco, California; in person at the San Francisco HQ 5 days a week, with one company-wide remote week per month
Salary: $175,000–$300,000 USD per year, plus equity and benefits
Company
is a public benefit research company developing AI interpretability technology to make AI systems understandable, debuggable, safer, and more useful.
What you will do
- Define technical product positioning for 's platform, capabilities, and use cases.
- Translate research breakthroughs into customer-facing product narratives, demos, launches, and use-case materials.
- Plan and execute launches for platform capabilities, research milestones, customer proof points, and vertical offerings.
- Create decks, demo narratives, technical one-pagers, FAQs, objection-handling materials, case studies, and sales enablement content.
- Analyze buyer workflows, customer pain points, competitive alternatives, and emerging AI development patterns to inform product and go-to-market strategy.
Requirements
- Ability to understand technical products and explain them clearly to practitioners and executive audiences.
- Excellent writing and storytelling skills, supported by examples of launches, technical content, product narratives, demos, or sales materials.
- Strong product judgment and the ability to simplify complex workflows without losing technical depth.
- Experience collaborating with research, product, engineering, sales, and customer-facing technical teams.
Nice to have
- Experience in a fast-paced, early-stage startup.
- Experience with state-of-the-art AI models and technical or enterprise audiences.
- Familiarity with AI interpretability techniques and state-of-the-art model tooling.
Culture & Benefits
- Mission-driven environment focused on making AI safe, useful, and understandable.
- Values emphasize team-first collaboration, continuous improvement, ownership, initiative, and rapid execution.
- Market-competitive salary, equity, and competitive benefits.
- Work alongside interpretability researchers and engineers from organizations including OpenAI and DeepMind.
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