Sr. Associate Sales Engineer

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. The Sr. Associate Systems Engineer is an early-career, pre-sales technical role supporting the Sales Account Executive team. This person contributes to individual sales opportunities under the guidance of senior Systems Engineers, building foundational expertise across the Extreme Networks portfolio while developing the skills needed to progress toward a Systems Engineer role. This is a growth-oriented position for someone dynamic, coachable, and eager to build a career in pre-sales engineering. **Responsibilities** - Support the Pre-Sales team in the design, planning, and delivery of Proof of Concepts (POCs) and technical validations for assigned opportunities - Execute defined pre-sales tasks within the sales cycle, with guidance from senior Systems Engineers - Participate in customer calls and technical conversations, progressively taking ownership of smaller components with support - Build proficiency across the Extreme Networks portfolio plus one area of specialization - Assist with product demonstrations, trade shows, seminars, and internal demonstration facilities - Begin developing an understanding of competitive positioning for Extreme Networks solutions - Use Wi-Fi test and planning tools (e.g., Ekahau, AirMagnet, NetScout) with guidance - Coordinate and communicate with cross-functional groups (sales, partners, engineering) on individual deals - Travel to customer sites as needed to support Account Executives and senior Systems Engineers **Requirements** - 1-3 years of experience in networking, pre-sales, or technical support - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Foundational knowledge of networking technologies and eagerness to expand that knowledge quickly - Ability to independently run standard product demos and contribute to POCs - Strong interpersonal and communication skills, with growing comfort presenting to technical audiences - Ability to work within a team, take direction well, and apply feedback from Account Executives and senior SEs - Willingness and ability to travel within region, up to 60% - Foundational certifications preferred but not required (e.g., ECNA, CCNA, CWTS, or equivalent) - Exposure to two or more of the following is a plus: - Network Access Control (NAC), RADIUS, 802.1x, Active Directory, LDAP - Security fundamentals: firewalls, VPNs, intrusion prevention - Cloud technologies: AWS, Azure, GCP - Wireless, VPN, SDN, SaaS - IPv4/v6 routing protocols (OSPF, VRRP, BGP, PIM, etc.) - Layer 2 switching (802.1Q, 802.1D, 802.1x) **Compensation:** This role has a market-competitive salary with an anticipated OTE compensation range of 130,000 – 150,000 USD. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay for this role upon hire. This range is set using objective, gender-neutral criteria based on skills, experience, responsibility, and working conditions. Actual compensation offered will depend on the selected candidate's experience, qualifications, skills, and work location. This role is also eligible for commission on a 70/30 split, and the full benefits package described below. **Benefits and Total Rewards:** Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: • Medical, dental, and vision insurance • Flexible work schedules and work-from-home opportunities where role permits • Paid time off, including open time off in eligible markets and statutory leave in all markets • Paid holidays in accordance with local practice • Retirement savings programs, including 401(k) matching in the United States • Employee Stock Purchase Program, where eligible • Adoption assistance and fertility treatment support, where eligible • Flexible spending accounts, where eligible • Employee assistance program • Tuition reimbursement, where eligible • Life and disability insurance Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment. **Equal Employment Opportunity** Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply. **Fair chance and background checks** Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken. Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation. **Reasonable accommodation** Extreme Networks is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the application, interview, and hiring process. If you require a reasonable accommodation to participate in the application or interview process, please contact [insert contact email and phone]. All requests will be handled confidentially. **Use of artificial intelligence in hiring** Extreme Networks may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. Applicants have the right to request human review of any automated decision affecting their candidacy and to request information about how their personal data is processed. To exercise these rights, please contact [insert contact email]. **Data privacy** Personal data provided during the application process will be processed in accordance with Extreme Networks' Candidate Privacy Notice, which is available at . For applicants in the European Economic Area, United Kingdom, and other jurisdictions with comparable data protection laws, the Candidate Privacy Notice describes your rights regarding your personal data. **About Extreme Networks** Extreme Networks, Inc. (NASDAQ: EXTR) creates effortless networking experiences that enable people and organizations to advance. We push the boundaries of technology by leveraging machine learning, artificial intelligence, analytics, and automation. Learn more at [](http://www.extremenetworks.com), or follow us on LinkedIn, X, and Facebook.