Job description
Who we are…
In a world of constant change, we’re leading the charge towards truly autonomous enterprises. Our cutting-edge platform harnesses the power of automation and generative AI to revolutionize how businesses manage and optimize their IT operations.
We’re not just adapting to digital transformation—we’re accelerating it. Our solutions bring business and operations leaders together, unlocking new levels of innovation, efficiency, and scalability. We empower organizations to deliver superior customer experiences and drive revenue growth in an always-on, always-mobile world.
At ScienceLogic, we’re building the foundation for Autonomic IT—a future where IT operations are self-healing, self-optimizing, and aligned perfectly with business objectives. Our team of visionaries is reshaping the $18B IT operations market, creating cost-optimized, efficient, and next-level capabilities for enterprises worldwide.
What we’re looking for…
ScienceLogic is looking for a proven Sales Engineer with at least seven years of pre-sales experience in network monitoring/management or cloud services to join their established sales organization. You’ll work alongside experienced Account Executives with some of the technology industry’s most innovative and well-known organizations to help them get the most out of their infrastructure through ScienceLogic’s Automation Engine for AIOps solution. The ideal candidate will have significant experience working with both enterprise and managed service companies.
What you’ll be doing…
As a Sales Engineer Director, you will play a pivotal role in building and strengthening technical partnerships with GSIs. You will lead the charge in aligning our AIOps platform with their service offerings and enterprise customer needs.
- Develop and execute a technical sales strategy to expand relationships with GSIs, ensuring our platform is embedded into their solutions and managed services frameworks.
- Build trusted technical partnerships with GSI stakeholders, including practice leads, architects, and delivery teams.
- Lead technical enablement sessions, workshops, and certification programs to train GSI teams on the platform’s capabilities and value.
- Engage with GSI technical teams to design, architect, and implement AIOps solutions that address specific enterprise challenges.
- Drive Proof-of-Concept (PoC) initiatives, showcasing the platform’s capabilities in complex, multi-vendor environments.
- Align our AIOps platform with the service offerings and solution portfolios of GSIs to ensure seamless integration into their IT operations and managed services frameworks.
- Collaborate with GSI sales teams to identify and pursue co-sell opportunities, delivering tailored value propositions for enterprise customers.
- Support joint account planning and pipeline development, identifying strategic opportunities to grow revenue through GSI partnerships.
- Partner with marketing and product teams to develop joint solution collateral, playbooks, and use cases aligned with GSI-led engagements.
- Represent the company at industry events and forums to build credibility and strengthen relationships with GSI stakeholders.
- Act as the voice of the GSI ecosystem, providing actionable feedback to influence product roadmaps and future enhancements.
- Provide technical oversight for GSI-led implementations, ensuring successful project delivery and customer satisfaction.
- Manage and mentor a high-performing presales and technical team, ensuring alignment with organizational goals and personal development objectives.
- Foster collaboration and cross-functional communication within your team to deliver exceptional outcomes in a fast-paced environment.
- Set clear performance expectations and provide regular feedback, coaching, and opportunities for growth.
- Ready to travel extensively to engage with GSI partners on-site, ensuring successful discussions and relationships
Qualities you possess…
You are a strategic thinker and technical expert who thrives at the intersection of technology and business. Your ability to align our AIOps platform with the goals of GSIs makes you a key player in driving transformational outcomes for their enterprise customers.
- Proven experience in presales, solution architecture, or technical sales, with a focus on GSI partnerships.
- Hands-on expertise with AIOps, observability tools, and ITSM platforms such as ScienceLogic, LogicMonitor, Splunk, Dynatrace, or ServiceNow.
- Strong understanding of cloud technologies, including AWS, Azure, and GCP, as well as containerization and DevOps practices.
- Exceptional communication, presentation, and storytelling skills, with the ability to build trust with senior GSI stakeholders and enterprise clients.
- A track record of successfully supporting large, multi-million-dollar enterprise deals through GSI-led engagements.
- Proactive problem-solver with a “get-things-done” attitude and a customer-first mindset.
- Demonstrated ability to manage competing priorities in a fast-paced and dynamic environment.
- Experience in creating and delivering technical enablement materials such as playbooks, FAQs, and training sessions for internal and external stakeholders.
- Proven experience managing and mentoring teams, fostering a collaborative and inclusive work environment.
- Skilled in setting clear objectives and guiding team members toward achieving high performance and career growth.
- Minimum of 5 years of experience leading, coaching and developing teams and fostering a collaborative and inclusive work environment.
- Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
- Passionate about technology and its potential to transform IT operations at scale.
- Knowledge of: UNIX, TCP/IP, SNMP, XML, ODBC, Syslog, SSH, ITIL, Python
- Knowledge of ServiceNow ITSM, ITOM, Python and PHP will be an added advantage
About ScienceLogic
ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.
www.sciencelogic.com
