AI-Driven Product Support Lead — SF Office

Town.com

San Francisco (CA)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Town is seeking a Product Support professional to own the user experience when issues arise and to reduce friction over time. This role is hands-on, highly collaborative, and focused on building trust by delivering clear, empathetic guidance.

You will work in a technical, AI-driven environment, turning learnings from tickets into docs, tooling, and product feedback that sharpen the system for all users. The team values kindness, clarity, and ownership.

Qualifications

  • 2+ years in customer support or customer experience, ideally at a high-growth tech or SaaS company.
  • Write with clarity and warmth, get to the heart of the need, adapt tone, stay crisp under pressure.
  • Comfortable in a technical environment: read docs, reason about setups, dig into logs and integrations.
  • Genuine AI fluency — use AI tools daily and help build AI-assisted support systems.
  • Take ownership: find the work, push through obstacles, figure it out.
  • Be organized enough to prioritize across a busy inbox and multiple projects.

Responsibilities

  • Own inbound support end to end and manage the queue with a capable engineering and GTM team backing you.
  • Tackle hard cases, read logs, understand billing issues, escalate to engineers when needed.
  • Make Town’s AI part of the support engine and shape AI-assisted support flows.
  • Turn tickets into systemic fixes by surfacing patterns to product/engineering.
  • Build the support foundation: create docs, playbooks, and help content.
  • Be the voice of the user and feed insights back into product roadmap and messaging.
  • Set the quality bar: monitor response times and resolution quality.

Skills

Customer support
AI fluency
Ownership
Documentation writing

Tools

APIs
Internal tooling

Job description

Town is seeking a Product Support professional to own the user experience when issues arise and to reduce friction over time. This role is hands-on, highly collaborative, and focused on building trust by delivering clear, empathetic guidance.

You will work in a technical, AI-driven environment, turning learnings from tickets into docs, tooling, and product feedback that sharpen the system for all users. The team values kindness, clarity, and ownership.

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