Description review

Sales Executive - Staffing & Agency TechRecruitment

Daxtra Technologies · United States · back to the listing

HR standards

61/100

needs work

Title ↔ description

76/100

solid

Reads as

Sales Representative

100% confident

What this role officially is

commercial sales representative — ESCO, the EU occupation classification

Commercial sales representatives represent a company in selling and providing information on goods and services to businesses and organisations.

Also known as: field sales representative, technical and commercial sales executive, field sales executive, sales and marketing consultant, business development representative, technical and commercial sales representative

How others title the same work

Large employers

  • EHR Principal Sales Executive, HCLS US Providers Amazon.com
  • Channel Partner Sales Executive Canonical
  • Embedded Devices Software Solution Sales Account Manager Canonical
  • Embedded Devices Software Solution Sales Manager (APAC) Canonical
  • Embedded Devices Software Solution Sales Manager (Americas) Canonical

Startups

  • Account Executive (Full Cycle) AviaryAI
  • Founding GTM / AEs Balance
  • Business Development / Sales Intern Blaze
  • Sales Intern Blaze
  • Account Executive Blee

What the listing never says

  • 28 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Sales Executive — Staffing & Agency Recruitment Tech

Sell the AI Layer Every Staffing Firm Didn't Know They Needed

Why This Role Is Different

• You're not selling vaporware — Daxtra is trusted globally, embedded deep in the staffing tech stack
• You're selling into a market hungry for AI solutions right now
• You'll own your pipeline and your quota, with real autonomy to build your book of business
• You'll work alongside a lean, entrepreneurial team that moves fast and backs you up

What You'll Do

• Sell Daxtra's AI-powered recruitment technology to staffing and recruitment agencies
• Position Daxtra as the intelligence layer that supercharges existing ATS/CRM platforms
• Run consultative discovery conversations on recruiter productivity, sourcing, search, matching, and database

ROI

• Deliver tailored demos that speak directly to agency recruiting workflows
• Manage the full deal cycle — first call through negotiation and close
• Build your own pipeline through outbound, networking, referrals, and industry events
• Partner with Sales Engineering, Marketing, Partnerships, and Customer Success to win

What You Bring
• 3+ years of B2B SaaS sales experience
• Experience selling recruitment tech, ATS, CRM, or HR tech
• Real understanding of staffing and agency recruitment environments
• A track record of building and managing your own pipeline
• Comfort navigating multi-stakeholder sales processes
• Consultative selling instincts and strong relationship-building skills
• Genuine enthusiasm for AI and the future of staffing tech

Bonus Points
• Experience selling into staffing firms, agencies, or RPOs
• Familiarity with Bullhorn, Vincere, JobAdder, Avionté, Mercury, Erecruit, or similar platforms
• Background selling AI-driven search, parsing, matching, or automation tools
• Mid-market or enterprise SaaS sales experience
• An existing network in staffing and recruitment

Why Daxtra
• A proven AI recruitment platform trusted by staffing firms worldwide
• Strong brand reputation in a fast-growing category
• Clear, provable ROI story that sells itself once you know it
• Ground-floor opportunity in a category still taking shape
• A collaborative team that wants to see you win

Salary: $90,000Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 73 before penalties). Reviewed 21 Sep 2026.