Strategic Systems Engineer

Posted 14 Days Ago
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
Senior level
Artificial Intelligence • Information Technology • Software
The Role
Deliver technical presentations, support customer integration of the Selector AIOps platform, and collaborate with teams to address operational challenges.
Summary Generated by Built In

About Us

Selector is Series B funded Silicon Valley startup that has built the leading operational intelligence platform for digital infrastructure. By adopting an AI/ML-based analytics approach, the platform provides actionable unified insights to network, cloud, and application teams, breaking the data silo. Selector enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines.

Our solutions are used by leading Telecoms, Media, Retail, and Financial, organizations across the world. Our novel approach and rapidly expanding footprint put us in the unique position for continued growth to become a category leader. To fuel our growth, we are seeking passionate, high-energy, results-oriented individuals to join our team.

Our mission is to deliver world-class solutions on behalf of the large enterprise. Supported by leading investors, Selector is uniquely positioned to deliver a world-class solution to address large enterprise requirements across the globe.

What you will do at Selector

  • Deliver bespoke technical presentations and demonstrations of the Selector AIOps platform to prospects and customers
  • You will be the lead for customer proof of values and new deployments, here you will deliver key customer defined outcomes leveraging SelectorAI platform and the Selector data science team.
  • Work jointly with account managers and business development teams  to understand customer operational challenges and how Selector can be leveraged to improve business continuity and reduce key outage related metrics (MTTD, MTTI, MTTR).
  • Collaborate with sales and customer success teams on presentations and customer quarterly business reviews.
  • Collaborate with customer operations teams to understand workflows and challenges to learn how to best integrate the Selector AI platform
  • Provide post-sales technical support (training, deployment, support, etc.) in collaboration with the Selector Customer Success team.
  • Research technical topics such as needed for customer engagements and explore technical topics impacting the industry to grow as an industry leader

Requirements

  • 5 years experience in a customer facing technical role in networking, monitoring, or application technology domains
  • Deep understanding of networking and network related concepts and protocols such as BGP, OSPF, SDWAN, Wireless, Data Center architectures, etc.
  • Familiar with monitoring protocols and platforms, understanding related protocols such SNMP Polling, Syslog, Rest APIs, Flow, SNMP Traps
  • Experience delivering technical outcomes to Fortune 1000 companies
  • Must be able to travel for in-person customer visits (1-3x per month)
  • Familiarity with infrastructure and application monitoring is a strong bonus (e.g. hypervisors, K8s orchestrations, DataDog, AppDynamics)

Compensation

  • This is a quota-carrying position, with a typical mix of 75% base salary and 25% commission
  • Selector Software offers competitive compensation commensurate with experience and capability, along with an excellent benefits package, to qualified Candidates.
  • The total compensation package for this position also includes equity, medical benefits, 401(k) eligibility, vacation, sick time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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The Company
HQ: Santa Clara, CA
104 Employees
Year Founded: 2019

What We Do

Selector AI is the industry leading AIOps platform designed to provide instant, real-time actionable insights for managing multi-domain network and application infrastructures. By bringing together multiple sources of data into one easy to use platform, IT teams can troubleshoot network issues faster, avoid downtime, reduce MTTR and improve efficiency.

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