Braun Board

Director - Sales (Customer Success)

Weekday AI · Remote · US

Base
Not disclosed
OTE
Not disclosed
Posted
4mo ago

Still open · checked 2h agoon Weekday AI's careers page

The job

What you'd do
Sell Analytics, AI, and Data consulting services to enterprise clients by hunting new logos and building CXO relationships, managing deals from prospecting through close. Requires U.S. travel.
Who you'd sell to
Still reading the posting. Check back within the hour.
Where deals come from
Mostly you. Expect a lot of outbound: cold calls, emails and LinkedIn.

The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay
No pay listed at all.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Time on market
Open 149 days. Ask why it's been hard to fill.
Company hiring
10 sales roles open, hiring at a steady pace.

Red lights

None spotted.

Yellow lights

  • Open 90+ days. This role has been posted for three months or more. Ask why it's been hard to fill, and whether anyone left it.

Green lights

None spotted.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    This role has been open a while. What's made it hard to fill?

    The answer tells you what candidates saw that made them walk.

  2. 2.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  3. 3.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  4. 4.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  5. 5.

    What share of last year's closed deals did reps source themselves?

    Shows how much pipeline you'll have to build on your own.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

› When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

Josh's top five questions for any sales interview →

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Full posting
This role is for one of the Weekday's clients Experience: 15+ yrs Location: United States Job type: Full-time Requirements Working in a permanent, full-time position, my direct client is seeking a dynamic sales hunter (not an account manager) with 12–18 years of experience in selling Analytics, AI, and Data consulting services. The ideal candidate will have a demonstrated history of securing new enterprise clients, cultivating CXO relationships, and closing substantial consulting deals in areas such as Analytics, AI/ML, GenAI, Data Science, or Data Engineering. Ideal Candidate Profile ✅ 12–15 years of relevant experience (preferably under 15 years, definitely not 20+ years) ✅ Background in Analytics Consulting, Data & AI Consulting, or IT Services companies ✅ Strong expertise in new logo acquisition and business development ✅ Experience in selling services and solutions, rather than primarily SaaS or software products ✅ In-depth knowledge of AI, GenAI, ML, Analytics, Data Science, BI, and Data Engineering offerings ✅ Well-established network of CIOs, CDOs, CTOs, CMOs, and other CXO-level executives ✅ Proven experience managing the entire sales cycle, from prospecting through to closing deals ✅ History of meeting or exceeding quota and driving revenue growth ✅ Familiarity with strategic partnerships (Microsoft, Databricks, etc.) ✅ Willingness to travel across the U.S. to engage with clients and prospects Preferred Skills Sales, Hunting, Artificial Intelligence
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