Founding BDR — AI Consulting (Outbound + Pipeline)

Youʼll be our first outbound hire. Your job is to start sales conversations with the types of companies we want to work with, qualify whether thereʼs a real project, and keep a steady pipeline moving to founder-led closing.

Phizenix helps mid-market to enterprise companies scope and ship AI agents—usually replacing manual operations workflows (ex. automating inventory cost analysis) with systems that are faster, more reliable, and easier to run. We offer full-stack services—use case discovery / AI strategy, AI agent implementation, and live workshops for AI training.   

Build target account lists, find the right people, and run outbound across email, LinkedIn, calls, referrals, and events. 

Hold short discovery calls to understand the problem, confirm whoʼs involved, and set meetings with a clear purpose and next step. 

Keep CRM and notes current so we know whatʼs happening, whatʼs stalled, and what weʼre doing next. 

Iterate messaging, offers, and targeting based on replies, calls, and outcomes—then turn the best patterns into repeatable sequences and templates. 

  - Thereʼs a consistent outbound rhythm and a pipeline we can point to 

  - Meetings are with the right people and tied to real problems 

  - Weʼve learned which segments and messages convert, and weʼre focusing on those.

This is a fit if youʼve done outbound before, can run your own day without heavy management, and like being early enough to shape how the function works.

 

This is not a fit if you need a mature playbook handed to you, rely mainly on inbound, or prefer a role where prospecting is someone elseʼs job. 

  - 4+ years of experience in BDR/SDR or new-business sales with a strong outbound component 

  - Able to share prior results (meetings, pipeline, quota attainment)

   - Comfortable talking to both business and technical stakeholders 

  - Working familiarity with a CRM and outbound tools 

  - Professional services / consulting sales experience 

  - Experience selling technical work (data, integrations, automation, AI) 

  - Early-stage experience where you had to build process, not just follow it