Product Manager
@ Siena AI

Hybrid
$120,000
Hybrid
Full Time
Posted 18 hours ago

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Job Details

About Product Manager at Siena AI

Siena is the first intelligence layer for customer experience. They are creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.

The Team

A small, distributed team with outsized impact. Every person contributes significantly in a fast-paced and fun environment.

What We’re Looking For

You are a builder with a passion for AI, customer experience, and e-commerce. You have 3+ years of product management experience with technical B2B products and a knack for AI automation, integrations, and full-cycle project ownership.

Responsibilities

  • Build new agent capabilities across platforms.
  • Design and launch evaluation systems for continuous improvement.
  • Own platform automation and onboarding processes.
  • Expand integration ecosystems and support customer enablement.
  • Demo products and co-sell with the sales team.

How We Hire

Enjoy a streamlined process with a short form, an intro call, a hands-on case study, multiple interviews, and a trial week on a real project.

Why Siena?

Work on meaningful projects at the bleeding edge of CX and AI innovation. Enjoy competitive salary, equity opportunities, and a strong learning culture.

Key Skills/Competency

  • Product Management
  • AI Agents
  • Customer Experience
  • E-commerce
  • API Integrations
  • Full-cycle Ownership
  • Technical Fluency
  • Automation
  • Evaluation Systems
  • Cross-functional Collaboration

How to Get Hired at Siena AI

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it for product management and AI roles.
  • Research Siena AI: Understand their approach to CX and automation.
  • Highlight technical fluency: Emphasize API and integration skills.
  • Prepare detailed case studies: Showcase full-cycle product ownership.

📝 Interview Preparation Advice

Technical Preparation

Review API integration fundamentals.
Practice designing automation workflows.
Learn evaluation system methodologies.
Study AI agent architecture basics.

Behavioral Questions

Describe a time you handled full-cycle ownership.
Explain how you managed cross-functional collaboration.
Discuss overcoming project challenges under pressure.
Share an experience of customer-facing product demos.

Frequently Asked Questions