Salary
💰 $170,000 - $225,000 per year
About the role
- Spearhead development of innovative AI workflows, ranging from generative prompting systems to data-driven decision engines; reporting to the CTO
- Own end-to-end product development: drive AI capabilities within the social commerce platform, from discovery to launch
- Collaborate with engineers to build generative prompting workflows and optimize AI models
- Conduct user research and feedback sessions; translate insights into actionable product features; be the voice of the customer
- Define and track success metrics for AI features (e.g., accuracy, conversion rates, automation impact) and ensure data-driven improvements
- Shape product strategy: identify high-impact opportunities in AI-powered social engagement, personalization, and prompting strategies
- Move quickly and be agile: write specifications, test features, iterate rapidly, and thrive in ambiguous environments
- Conduct market research and competitive analysis to remain ahead of developments in AI, generative technologies, and social commerce
Requirements
- 5+ years of product management experience with a proven track record of shipping successful digital products, preferably at high-growth startups or AI-enabled companies
- Strong analytical skills; comfortable working with data, defining metrics, and making informed decisions
- Hands-on experience or a strong interest in AI/ML technologies, especially generative AI workflows or prompting systems
- Strong written and verbal communication skills; ability to align diverse stakeholders and clearly articulate product rationale
- Demonstrated track record of high performance and initiative, including multiple promotions or cross-functional project ownership
- Proven ability to manage ambiguity, prioritize ruthlessly, and execute under tight timelines
- MBA preferred or a track record of exceptional academic or professional achievement (preferred)
- Bonus Points: Experience at a startup or high-growth startup; Background in social commerce, creator economy, or enterprise tools; Technical fluency with ML architectures (LLMs, embedding systems, recommendation engines); Background supporting DTC, beauty, or wellness brands