1 relevant signal
AI knowledge networks and career technology · San Francisco, California, United States
SuperMe
Current work outlook
Latest verified company signal
SuperMe creates AI profiles based on experience people choose to share, allowing others to consult their knowledge through conversational tools.
Updated October 29, 2026 · Evidence from public sources
1 verified signal in this assessment
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Built from company events, not anonymous ratings.
The recent evidence is constructive, but the specific role and team still matter. The score weighs signal recency and source confidence. It is a decision aid—not a verdict on culture or a specific team.
1 relevant signal
1 relevant signal
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Company timeline
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Filter in all signals ↗SuperMe raises $20 million and opens hiring in San Francisco
SuperMe raised a $20 million Series A led by Forerunner, with Greylock Partners participating. The company builds conversational profiles from work and experience that people voluntarily share, allowing users to consult an operator's knowledge without scheduling a live conversation. SuperMe says its network can now combine multiple expert profiles in a group chat and can be accessed from tools including ChatGPT and Claude. The funding will be used to recruit more people with product and growth experience, improve how their expertise is matched to questions and make the network easier to use inside existing work tools. SuperMe operates offices in San Francisco and Ho Chi Minh City and confirmed two open positions in San Francisco: Community Lead and Content Lead. The announcement does not specify broader headcount growth or how much of the capital is allocated to product engineering, trust and safety, sales or international operations.
The confirmed immediate opportunities are community and content roles in San Francisco, while the financing may also support product, data, integrations, privacy and network-growth work. Candidates should recognize that SuperMe's core product sits at a difficult intersection of professional identity, AI-generated representation, connected workplace data and reputation. That creates meaningful work but also demands strong consent controls, source transparency and safeguards against private context leaking into answers. The company says users choose what their profiles know, yet applicants should ask how this promise is implemented and audited. Because only two vacancies are named publicly, other roles should be checked for approved budget rather than inferred from the funding headline. People joining an early-stage team may receive broad ownership but should expect the product model, acquisition channels and moderation policies to evolve quickly. Roles tied to trusted data connections and repeatable user growth may be more durable than purely experimental features.
