Member of Product Staff

Palo Alto, CA · Remotefull timeRemote

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senior

$200k–$275k

H1B: no

Nectar Social The Member of Product Staff at Nectar Social leads development of AI-powered product features, focusing on generative AI, automation, and data-driven decision systems. This role involves end-to-end product ownership, customer research, and defining performance metrics.

Responsibilities

We're looking for a Member of Product Staff to lead the development of AI-powered capabilities across Nectar's platform. In this role, you'll own the strategy and execution behind features that leverage generative AI, automation, and data-driven decision systems to help brands manage social engagement, community, and creator relationships.
You'll work closely with engineering and leadership to build AI-native workflows that deliver measurable impact for customers while shaping how AI is embedded throughout our product experience.
Own the end-to-end development of AI-powered product features from discovery and design through launch and iteration
Partner closely with engineering teams to build and refine generative prompting systems, AI workflows, and model-powered features
Serve as the voice of the customer by conducting research, gathering feedback, and translating insights into product improvements
Define and track key performance metrics for AI-driven features such as automation impact, engagement outcomes, and accuracy
Identify high-impact opportunities to apply AI across social engagement, personalization, and operational workflows
Write product specifications, test features, and iterate quickly in a fast-moving startup environment
Stay informed on industry developments across AI, generative technologies, and social commerce

Qualification

Background in social commerce

Required

5+ years of product management experience shipping successful software products
Strong analytical skills with experience defining metrics and using data to guide product decisions
Experience working with or strong interest in AI/ML technologies, particularly generative AI or prompting workflows
Excellent communication and stakeholder management skills across technical and non-technical teams
Proven ability to drive projects in fast-paced, high-ownership environments
Comfort operating in ambiguity and prioritizing effectively in early-stage product environments

Preferred

Experience working at early-stage or high-growth startups
Background in social commerce, creator economy tools, or enterprise SaaS products
Familiarity with machine learning systems such as LLMs, embedding systems, or recommendation engines
Experience building products for consumer brands or marketing teams
MBA or a track record of exceptional academic or professional achievement