Braun Board

Enterprise Account Executive (West)

Arize AI · Remote · US

Base
Not disclosed
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 Arize AI's careers page

What Arize AI sells

Watches AI apps to spot and fix problems

A team that builds AI apps often can't tell whether their AI is doing a good job, or why it goes wrong. Arize gives AI engineers one workspace to watch their AI, find what broke, and test changes before and after launch. Teams can then ship their AI with more confidence.

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

More AI & data companies →

The Braun Read

Ask hard questions

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

Pay
No pay listed at all.
Transparency
Shares 1 of 5: quota, attainment, deal size, territory, sales cycle.
Pipeline
Mostly self-sourced. Great if you like outbound, rough if you don't.
Time on market
Open 325 days. Ask why it's been hard to fill.
Company hiring
5 sales roles open, hiring at a steady pace.

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.

Josh's top five questions for any sales interview →

Going for your first AE role? Get the free interview kit → 24 questions, what good and bad answers sound like, and an offer comparison sheet.

Got an offer from Arize AI? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh
+ Add offer details (optional)

Goes straight to my inbox. I never share it with employers or recruiters.

The role

Sell Arize's AI observability and evaluation platform to Fortune 500 and enterprise AI/ML teams. Heavy self-sourced prospecting, discovery, POCs, and growing accounts in the West (MST/PST).

Enterprise · Mixed · Outbound

Selling motion

Mixed

Who you're selling to

Buyer:
AI/ML leaders and AI engineersIn their words: “talking to AI/ML leaders”
Company size:
Enterprise

Pipeline expectations

Mostly self-sourced. Expect a lot of outbound.

Compensation

The posting doesn't list pay.

What is not disclosed

This posting doesn't tell you:

  • Base salary
  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Sales cycle length

The questions above cover the big ones.

Full posting
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize unifies build, test, and run in a single workspace, so teams can ship faster with confidence. Arize serves a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You’ll be searching for business while being an engaged member of the AI/ML community, identifying prospects who will benefit most from our solution. You’ll accomplish this by running an effective ground-game, talking to AI/ML leaders, identifying opportunities to help and building solutions to help achieve their goals. You’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies. What You’ll Do - Be a networker, seller and closer - Build relationships with AI/ML stakeholders and be an active member of the community - Conduct discovery with prospects and share the Arize vision - Run a sophisticated prospecting strategy to “get the word out” and find deals - Create sales plays, write talk tracks and strategically identify new business opportunities - Deeply research accounts, stakeholders and competitors - Manage proof of concepts, drive adoption and grow accounts - Manage and navigate internal / external stakeholders to ensure success - Understand use cases, scope licensing and find more workloads - BANT or MEDDIC methodology preferred What We’re Looking For - 5+ years enterprise SaaS sales experience: Hungry, aggressive and motivated - Familiarity or willingness to learn sales technologies to find and attract prospects - Self-starter and comfortable working in limited process environments - Full-cycle sales experience and ability to navigate the complexities of enterprise deals - Fast-paced and focused on helping prospects / customers - Team player: Collaboration with peers and other organizations within Arize is critical to success, we deeply value the success of the collective team over individual gains - Strong communication skills: Clearly and objectively communicate observations from the field Bonus Points, But Not Required - Previous selling experience in - Software Engineering - Data Science - Machine Learning The estimated annual salary and variable compensation for this role is between $250,000 - $300,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company the ideal candidate will be currently based in the MST or PST regions. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture - Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI - Culturally conscious events such as LGBTQ trivia during pride month - We have an active Lady Arizers subgroup
Apply →