Level

Outreach

Director, Product Management – Conversational Intelligence

Outreach is hiring a Director, Product Management – Conversational Intelligence in Seattle, United States. It pays $210k-$260k a year and Level rates it ; you can apply on Outreach.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Databricks, product strategy and conversational intelligence among its tools and skills.
  • Level classes it as an executive role.
  • Outreach has 22 other open roles on Level.

AI in this role

Lead product strategy and execution for conversation intelligence, voice, and agentic AI features at Outreach.

databricks
product-strategyconversational-intelligenceai-platformsgo-to-market
About Outreach   Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. 

The Team 

Outreach is the agentic revenue platform built for modern go-to-market teams. We help revenue organizations run their entire sales motion, from first touch to closed deal to post sales, inside a single platform that goes beyond insights and delivers actions to sellers to move deals and revenue forward. 

Conversation, voice, and meeting intelligence sit at the center of that motion. Every customer conversation generates signal. Outreach captures that signal and turns it into action: real-time coaching for reps, automatic follow-ups, and the deal and pipeline intelligence leaders need to know where to focus, what to fix, and how to improve. Reps close more. Leaders lead better. The conversation is where it starts. 

The Role 

This leader will own product strategy and execution across conversation intelligence, voice, meeting intelligence, and dialing. The mission is to transform every customer conversation into agentic action: coaching reps in the moment, accelerating deals, and giving leaders a clear, data-driven view of where to invest their time and how to improve their team performance and sales strategy. 

This role sits at the intersection of AI and data, voice and video, to deliver real-time coaching and actions. It requires a sharp point of view on both seller and sales leadership personas, and a track record of building product that changes how teams work, not just how they report. 

How we rate this

Director, Product Management – Conversational Intelligence at Outreach rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product StrategyConversational IntelligenceAI PlatformsGo To MarketDatabricks

Questions you could be asked

  1. Tell me about a project where product strategy was part of your work. What did you do?
  2. Tell me about a project where conversational intelligence was part of your work. What did you do?
  3. Tell me about a project where ai platforms was part of your work. What did you do?
  4. Tell me about a project where go to market was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Product Strategy, Conversational Intelligence, AI Platforms, Go To Market, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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