Manager, Sales Engineering - SLED

Reposted 22 Days Ago
Be an Early Applicant
3 Locations
In-Office or Remote
238K-264K Annually
Senior level
Database
The Role
Lead and develop a team of Sales Engineers, support pre-sales execution, coach on technical engagement, and assist in customer evaluations of Cohesity's solutions.
Summary Generated by Built In

Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location.

Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.
We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design.
Join us on our mission to shape the future of our industry.

We are seeking a Sales Engineering Manager to lead and support a small team of Sales Engineers within the region. In this role, you will focus on handson coaching, supporting presales execution, and assisting the team on complex customer opportunities. You will play a key role in helping customers successfully evaluate and adopt Cohesity’s data security and management solutions, while developing your leadership capability and supporting strong sales outcomes through highquality technical engagement. 

HOW YOU’LL SPEND YOUR TIME HERE: 

  • Lead, coach, and develop a team of Sales Engineers, supporting their technical development, customer engagement skills, and execution throughout the sales cycle. 

  • Partner closely with Sales Managers to support new customer opportunities, providing handson technical guidance and ensuring highquality presales support across assigned territories. 

  • Support customer engagements across Cohesity’s Data Cloud portfolio, including backup, recovery, cyber resilience, and data security, ensuring solutions align with customer technical and business requirements. 

  • Assist with RFPs, RFIs, proposals, and deal support, ensuring timely, accurate, and wellpositioned technical responses in collaboration with Sales and Partners. 

  • Support customer and partner conversations related to secondary storage and data protection use cases, helping position Cohesity as a strong solution for modern data security needs. 

  • Ensure consistent delivery of product demonstrations, technical workshops, and proofs of concept, supporting SEs in demonstrating both product capabilities and customer value. 

  • Identify technical challenges during presales and early customer engagements, escalating and collaborating with Sales, Product, Engineering, and Support teams to drive resolution. 

  • Provide handson coaching and guidance to Sales Engineers during complex deals, customer meetings, and evaluations, acting as a point of escalation when needed. 

 

WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING: 

  • Experience supporting SLED environments, including working with public‑sector IT, security, and infrastructure teams and responding to structured RFP/RFI processes and budget‑driven buying cycles.
  • Experience partnering with Information Security, IT, or Infrastructure teams, with a solid understanding of enterprise security concepts, compliance considerations, and customer risk requirements. 
  • Prior experience managing or mentoring Sales Engineers, or serving as a technical team lead within presales, infrastructure, data protection, or security environments. 

  • Strong technical foundation in enterprise data protection, backup and recovery, or cyber resilience technologies. 

  • Demonstrated ability to coach and develop technical talent, improving skills, confidence, and customer effectiveness. 

  • Working knowledge of onpremises, hybrid, and cloud environments, and how modern data management solutions integrate within them. 

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. 

  • Security certifications (e.g. CISSP, CISA, CISM) are a plus but not required. 

  • Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making. 

  • Strong communication skills in spoken and written English. 

  • Willingness to travel as required to support customers, partners, and team needs. 

 

#LI-SC1

Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.

Pay Range :

$237,600.00-$264,000.00

The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.

Current pay transparency shows the OTE (On-Target Earnings) for commission-based roles.

Data Privacy Notice for Job Candidates:
For information on personal data processing, please see our
Privacy Policy.
Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or
[email protected] for assistance.
In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

Skills Required

  • Experience supporting SLED environments
  • Experience managing or mentoring Sales Engineers
  • Strong technical foundation in enterprise data protection and cyber resilience technologies
  • Bachelor's degree in Computer Science or related field
  • Strong communication skills in spoken and written English

Cohesity Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cohesity and has not been reviewed or approved by Cohesity.

  • Wellbeing & Lifestyle Benefits Leave and wellness programs appear broad, including flexible time off, company-wide refresh days, meeting-free focus blocks, an EAP, and learning/wellness perks such as MindGym sessions and Scribd access.
  • Parental & Family Support Parental and family benefits are positioned as a notable strength, with paid parental leave and additional family supports such as fertility benefits via Progyny.
  • Healthcare Strength Core coverage is described as comprehensive, with medical, dental, and vision offerings for employees and families alongside related support resources.

Cohesity Insights

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The Company
San Jose, CA
1,529 Employees
Year Founded: 2013

What We Do

We believe that simplicity is the foundation of modern data management. Our mission is to radically simplify how organizations manage their data and unlock limitless value.

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