Braun Board

Technical Account Executive

Lightdash · Hybrid · UK

Base
£60K–£120K
OTE
Not disclosed
Quota attainment
Not disclosed
Posted
10mo ago

Why it matters: OTE tells you what you could earn. Attainment tells you how realistic it is.

Ask: “What percentage of fully ramped reps hit quota last year?”

Still open · checked 2h agoon Lightdash's careers page

What Lightdash sells

Company numbers you can explore by asking questions

Data teams are stuck answering everyone else's questions in tools that are complex and expensive. Lightdash lets those teams set up their numbers once, as code. Then anyone at the company can explore the data by asking questions in plain words or dragging things around on screen.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Ask hard questions

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

Pay
Base is listed but not OTE. Ask what the variable is and how many people hit it.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
A mix of self-sourced pipeline and inbound or SDR help.
Time on market
Open 308 days. Ask why it's been hard to fill.
Company hiring
This is their only open sales role.

Red flags

None spotted.

Worth asking about

  • 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 flags

None spotted.

Based only on what the posting says. Flags 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 percentage of reps on the team have been here more than 18 months?

    Tenure shows whether people stay long enough to get paid.

  4. 4.

    Has the comp plan changed in the last 12 to 18 months? What changed?

    A plan that changes every year means the goalposts keep moving.

  5. 5.

    Who sits with reps and reviews calls each week?

    Coaching is often what's behind a good or bad attainment number.

  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.

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The role

Sell Lightdash, an AI-native BI platform for technical data teams, through 1:1 demos and full-cycle ownership of leads from the ecosystem. Candidates should have sold $20k-100k+ ACV deals.

New Logo

Selling motion

New Logo

Who you're selling to

Buyer:
Technical data teamsIn their words: “Lightdash is the first AI-native BI platform for technical data teams who are frustrated with complex, expensive traditional BI tools.”

Pipeline expectations

A mix of self-sourced pipeline and inbound / SDR support.

Compensation

£60K–£120K base

What is not disclosed

This posting doesn't tell you:

  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
Join as one of the first dedicated Sales hires at Lightdash, building out our GTM team. ABOUT LIGHTDASH: Lightdash is the first AI-native BI platform for technical data teams who are frustrated with complex, expensive traditional BI tools. We’re building the best BI tool for data teams by letting them manage everything as code, from the comfort of their IDE and command line. Once the data team has created metrics, then Lightdash enables self-serve for the entire business, so your data is accessible to the whole team using natural language, drag and drop and more. We’re helping data teams build data-driven companies so they can make better decisions, faster. ROLE OVERVIEW In this role, you’ll be talking and demoing to our customers and building relationships for the future. You'll be running technical demos of the product, and be a product expert for our customers. As one of the first dedicated sales hires at Lightdash, you'll be a builder-seller hybrid, working to transform our customer wins into a structured, repeatable sales motion. WHAT YOU WON'T BE DOING: ❌ Bringing along other folks on sales calls. You'll be in these chats 1:1 with prospects and expected to be able to be an expert on all things Lightdash. Rarely, engineers or analytics engineers from the team will join, but only when they're needed for things like new product features or specific technical troubleshooting. WHAT YOU'LL BE DOING - Bring leads from our ecosystem into the sales funnel, nurturing and building 1:1 relationships - Running product demos on your own without sales engineers - our customers love us since we speak data, we'll expect you to be able to do this too. - Own the full sales cycle while documenting what works to create a scalable process for sales - Provide voice-of-customer feedback to product team - Contribute to sales collateral for future deals - Help test and validate new sales approaches REQUIRED EXPERIENCE & SKILLS - Technical B2B startup sales experience - Strong analytical and documentation abilities - Excellent communication across technical and business stakeholders - You've owned customer relationships in the past, selling $20k-100k+ ACV deals NICE TO HAVE - Data driven curiosity and interest in data and analytics - Interest in data and analytics - Experience with outbound prospecting LOCATION - We are looking for someone based in London, Paris, Dublin, New York or Boston.
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