Business Development Representative
Nearmap · AI & data
Based in Lehi, UT (posting doesn't say if remote)
SDR/BDRGrowth stageTraining program40 insiders to talk to
Still open · posted 2 months ago
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Sales Development Representative
Stack AI · AI & data
Hybrid: NYC Office; must live near New York City office
SDR / BDR
Opens the job on Stack AI's own careers site. Some companies ask you to create an account or click through another page first.
It asks for 2+ years of experience. Apply anyway.
SDR and BDR jobs are entry-level seats, and the requirements are usually a wish list. Customer-facing work (retail, serving, teaching, recruiting, sports) counts. Your best move is to message one of the insiders below before you apply.
At a glance
What you'd actually do: Prospect target accounts by email, LinkedIn, phone and events, run first-call discovery and book meetings for AEs selling a no-code AI workflow platform.
Pay
Not listed
ATS shows $94K-$170K plus equity with no base/OTE label, so pay left null
Where you work
Hybrid: NYC Office; must live near New York City office
Selling to
enterprise operations and IT teams
How you'd sell
Inbound + outbound
Experience asked
2+ years
Your game plan for this job
0 of 5 doneMost people just hit Apply. Do these first and you show up with someone on the inside.
- 1Pick 2–3 people at Stack AIWe haven't found reps here yet. Search LinkedIn for "sales development Stack AI".
- 2Send a short, curious noteAsk about their experience, not for a referral. We write it for you, with the role and what Stack AI sells.
- 3Have a 15-minute chatGood questions for this role:
- What does a normal day look like for you?
- How did you land the job? What stood out in your interviews?
- How is the team doing on quota? What separates the people who hit it?
- How long do SDRs usually stay before moving up to AE?
- 4Apply, ideally with a referralIf the chat went well, ask if they'd refer you or point you to the hiring manager. Then apply and let them know so they can flag it.
- 5Prep for the role playSDR interviews almost always end in a mock cold call. Practice with the Stack AI cheat sheet and the role-play guide.
Talk to someone at Stack AI before you apply
A friendly message to a current rep is the best way to stand out. Ask about their experience, not for a referral.
Full job description
About the Role
We’re hiring a Sales Development Representative (SDR) to generate qualified pipeline through outbound prospecting and inbound follow-ups. As an early non-engineering hire, you’ll help shape our go-to-market motion and messaging, and play a fundamental role in onboarding potential customers.
What You’ll Do
Prospect & outreach
: Identify and engage target accounts via email, LinkedIn, cold calling, organizing events (led by you), and attending conferences.
Qualify & coordinate
: Run first-call discovery, identify decision makers, book meetings for AEs, and identify potential use cases for prospects.
Build relationships
: Nurture champions and connect with decision makers.
About You
2+ years in BDR/SDR or sales (B2B SaaS; AI/GenAI a plus
). Strong track record sourcing pipeline; enterprise experience preferred.
Comfortable learning technical concepts and translating GenAI into clear business value.
Proactive, organized, iterative, creative, adaptable, and enjoy testing messaging and improving processes.
Existing Fortune 500 network is a plus, not required.
About StackAI
Stack AI
is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants
: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing
: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases
: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation
: generate tags, summaries, and transfer styles or formats between documents and data sources.
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