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Sekai — AI Product Manager

Second Ladder
United StatesRemoteLead / Manager3+ yrs
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The job in short

A lead / manager full-time remote Product Manager role at Second Ladder, asking for 3+ years of experience. Skills mentioned: SQL, BigQuery, LLM, LLMs, Recommendation systems.

SQLBigQueryLLMLLMsRecommendation systemsData scienceAgenticB2BProduct managementLogistics

Details

Found
37 d ago · posted 2026-08-21
Location
United States - Remote
Pay (as listed)
$150,000–$200,000 a year

Full description

Sekai is building a consumer social platform for interactive mini-apps — a TikTok-like experience where people discover, play, and create web-coded experiences with natural language. The company has more than 1M monthly active users, a roughly 30-person team, and strong backing from a16z, Khosla, Mayfield, and A*. This is a high-ownership opportunity reporting directly to the CEO. We are hiring two AI Product Managers. Candidates may align to one of two tracks: • Agent PM: Own AI-powered creation and interaction features, including LLMs, agents, multi-agent systems, and tool calling. Mandarin fluency is required for this track, although exceptional non-Mandarin candidates may be considered. • Consumer / Content PM: Own user-facing product areas and ship onboarding, first-time user experience, engagement, activation, retention, and recommendation features at scale. Mandarin fluency is strongly preferred and required for the core profile. What you will do: • Own a product area end to end, set OKRs, and drive product direction with substantial autonomy. • Collect user feedback, conduct user interviews, form hypotheses, and rapidly iterate. • Use Amplitude, BigQuery, and SQL to analyze funnels, activation, retention, and engagement; AI-assisted analysis is welcome, but you must validate the output. • Use AI tools such as Claude Code, Cursor, or Codex daily to build demos, explore product ideas, run SQL, and accelerate product development. • Partner closely with engineers in technical discussions and ship quickly. • For the Agent PM track, translate agentic AI capabilities into useful, delightful user-facing experiences. • For the Consumer / Content PM track, ship onboarding, FTUE, engagement, personalization, and recommendation experiences. Minimum requirements: • 3+ years of product management experience, ideally within the 3–7 year range. • Demonstrated experience shipping user-facing products for a consumer app, social product, or content platform (not solely B2B, enterprise, backend, infrastructure, or internal tooling). • AI-native product experience: you have worked directly on AI features or AI products and understand LLMs and agents. • Strong ownership, product judgment, and ability to manage a large scope independently. • Comfort with SQL and data analysis; experience with Amplitude or BigQuery is valuable. • Based in the San Francisco Bay Area or able to work Pacific Time; remote-first role. Preferred qualifications: • Early-stage startup experience, ideally combined with experience at a larger technology company. • STEM degree in computer science, data science, engineering, or a related field. • Daily use of AI coding and prototyping tools. • For Agent PM: hands-on experience with agents, multi-agent systems, tool calling, or other LLM product patterns, plus strong project management skills. • For Consumer / Content PM: experience with onboarding, FTUE, engagement, personalization, recommendation systems, or growth loops. • Mandarin and English fluency for a working environment. Compensation and logistics: • $150,000–$200,000 base salary, with competitive early-stage equity; exceptional candidates may be considered above range. • Full-time, remote-first; San Francisco Bay Area preferred and Pacific Time alignment required. • Open to visa transfers, including OPT and H-1B transfers; onboarding expected within 1–2 weeks of offer. • Hiring two people as soon as possible. What we avoid: • Candidates who are too junior or fresh out of undergraduate school. • PM profiles limited to backend, infrastructure, or internal tools without consumer-facing ownership. • Candidates without evidence of AI product work or hands-on consumer product shipping. Compensation The base pay range for this role is $150,000 – $200,000 per year.

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