Veeamsoftware

Sales Specialist - Data & AI Security

Montreal, Canada

Sponsorship not specified$10k-$15kDetected 12 days ago

CybersecurityCRMForecastingMentoringPublic Speaking

About the role

In this role, you will focus exclusively on Securiti AI solutions, working closely with Veeam account executives to cross-sell into Veeam's customer base, win new business, and expand existing Securiti AI accounts.
You'll also benefit from Veeam's robust go-to-market resources to ensure customer success.
Proven success closing complex enterprise software deals, with 10-15+ years in security software sales.

Develop and execute a territory plan to drive repeatable revenue within assigned accounts.
Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions.
Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline.
Expand relationships with key channel partners and resellers to accelerate deal flow and market reach.
Strong existing relationships with C-suite executives and channel partners in large enterprises.
Reputation for integrity, honesty, and building long-term customer relationships.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge.
Fertility support, plus 24 paid volunteer hours through Veeam Cares

When determining compensation, Veeam takes into consideration factors such as experience, education, and skills.

$222,200 - $412,700 CAD
Veeam is committed to pay transparency and equitable compensation.
For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus.
For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission.
When determining compensation, Veeam takes into consideration factors such as experience, education, and skills.
Paid vacation starting at 15 days per year and increasing to 20 or 25 days based on tenure, with 4 additional global VeeaMe Days and 24 paid volunteer hours annually through Veeam Cares

Paid vacation starting at 15 days per year and increasing to 20 or 25 days based on tenure, with 4 additional global VeeaMe Days and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave that includes 3 weeks for all parents and 12 weeks for birthing parents
Medical, dental, and vision coverage from day one
Mental health support, therapy sessions, and digital wellness tools
RRSP retirement plan with matching contributions
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus.

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale.
As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk.
Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running.
Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands.
Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers.

r and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or l

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