Qualys

Qualys

Manager, Deal Desk, Americas

California, USA · Senior

Sponsorship not specified$125k-$150kDetected 112 days ago
CRMSalesCustomer SuccessLeadershipOrganizational Skills

Stay score

odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role75
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 19 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 100%

Of 15 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Lead our deal desk function in the Americas as the go-to partner for complex SaaS deals.
  • As the Americas Deal Desk Manager, you'll drive efficient approvals, assist with commercial structuring, and ensure deals align with both customer needs and company goals.

Responsibilities

  • Partner with Sales leadership to drive deal velocity while validating adherence to pricing, finance, and compliance policies.
  • Manage the quote approval queue to ensure timely turnaround while maintaining in adherence to company guidelines.
  • Implement, document, and enforce deal desk processes, approval matrices, and escalation paths.
  • Coordinate Deal Desk operations to provide consistent support during Americas business hours.
  • Lead, develop, and support Deal Desk team members based in the U.S. and outside of the US.
  • Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Requirements

  • Bachelor's degree required.
  • 5+ years of experience in Deal Desk, Sales, Sales Operations, or Revenue Operations within a SaaS or other technology-based business.
  • Robust understanding of SaaS pricing, SaaS contracts, and ASC 606 revenue recognition principles.
  • Strong skills within CRM and CPQ.
  • Ability to influence cross-functional stakeholders and drive alignment in a fast-paced environment.
  • Detail-oriented, with strong organizational skills and the ability to manage multiple priorities simultaneously.
  • Demonstrated ability to manage complex deal structures and navigate tradeoffs between business goals and customer needs.
  • The salary range for this position is $125,000 - $150,000 per year [For CA region only]. Final compensation will be determined based on several factors, including but not limited to skills, relevant experience, and work location. Please note this range reflects base salary and does not include incentive compensation or potential equity grants. We also offer a comprehensive and highly competitive benefits package.
  • Qualys is an Equal Opportunity Employer, please see our EEO policy.

Compensation

  • The salary range for this position is $125,000 - $150,000 per year [For CA region only].

This listing is sourced directly from Qualys's careers page and normalized into a canonical job model.