Responsibilities
- Closing sub-€10k deals across both pods, new-business (net-new logos) and scaled-customer expansion, sourced from inbound and product trials.
- Working the AI-surfaced queue: acting on intent scores, enrichment data, and draft messaging; prioritizing by firmographic fit and in-trial usage, not gut feel.
- Hitting speed-to-first-touch targets; at this ACV band, fast and personalised beats slow and polished.
- Escalating cleanly and fast: routing €10k+ ARR opportunities (and any procurement/security triggers) to the right Commercial AE with full handoff context within one business day.
- Reading your own funnel and adjusting, no waiting to be told.
Requirements
- 1-2 years of closing experience carrying a number in B2B SaaS, inbound, transactional, or scaled SMB.
- A high-output operator mindset: you value pace and volume, and you don't need a six-month sales cycle to be productive.
- An AI-forward approach: you see AI as leverage, not a threat, and you're ready to work on top of (and help improve) an AI-first stack.
- Customer and product curiosity; MarTech or marketing-data exposure, Supermetrics product knowledge even more so.
Benefits
- Fully paid medical/dental/vision benefits (for employee & dependents)
- Generous PTO
- 401k with matching
- Options
- Tech package
- Home office and wifi stipend
Work Arrangement
Remote (Country) — Remote (US)
Additional Information
- This role is fully remote and only candidates in the following states will be considered: NY, MA, NJ, GA, IL, NC, SC, FL, IN, MD, VA, MI, TX, PA, DE, VT.
- Pay Transparency Statement: DV Account Executive Total On-Target Earnings: $108,000 to $128,000 USD annually. These figures reflect the compensation offered for remote U.S.-based candidates. Actual earnings may vary depending on individual performance against sales targets.
- Supermetrics leverages AI in early recruitment stages to efficiently match skills to roles and provide a frictionless scheduling experience. All final hiring decisions and deep-dive interviews are conducted by human team members.