# Product Manager, AI

**Company:** [Nectarsocial](https://hotfix.jobs/companies/nectarsocial)
**Location:** Palo Alto, CA
**Role:** Product Management
**Salary:** $170k – $225k/yr
**Experience:** 5+ years
**Skills:** Generative AI, AI/ML, LLMs, Prompting Workflows, Embedding Systems, Recommendation Engines, Product Analytics, Generative Prompting Systems, AI Workflows
**Posted:** 2026-04-30

> Leads development of AI-powered features for social commerce platform, owning strategy, execution, and metrics for generative AI, automation, and data-driven workflows to enhance brand engagement.

## Job Description

## Responsibilities
- 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

## Requirements
- 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

## Nice-to-Haves
- 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

## Compensation & Benefits
- Competitive compensation and early equity
- Health, vision, and dental benefits + 401(k) match
- Clear career growth opportunities
- Free lunch in Palo Alto

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