S
Selector AI
Solutions Engineer
Skills
Google Cloud PlatformSQL QueriesDockerData MiningData AnalysisAWSKubernetesBambooHRAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$120,000 – $140,000 / year
Location:
Santa Clara, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- Learn and develop technical expertise on Selector’s operational analytics solution for networks, applications, and security workflows
- Support hands-on integration and deployment of Selector’s platform to meet customer requirements, working alongside senior engineers
- Assist in deploying Selector’s solution at customer sites, including helping to understand their data, workflow, and analytics requirements
- Help ensure customers are adequately enabled for use and basic self-serve extensions of Selector’s capabilities
- Support pre-sales activities in collaboration with the sales team and senior engineers
- Contribute to the design and execution of Proof of Concept (POC) plans under the guidance of senior team members
- Document customer feedback and assist with product enhancement proposals to improve features and quality
Benefits
- Participate in Our Success - Selector offers competitive equity packages that allow employees to participate in the company’s success
- Healthcare - Along with comprehensive dental, vision, and health benefits, Selector employees also have optional participation in flexible spending and health savings account programs
- Flexibility - Taking time off keeps our team members fresh and engaged. We offer unlimited PTO in most geographies
- Retirement Benefits - Employees are eligible to participate in the company’s 401K and Roth 401K plans
- Insurance - Selector provides basic life insurance, an optional supplemental Life & AD&D insurance plan, and short and long-term disability benefits
- A Hybrid Work Environment - At Selector, our team members can combine in-office and remote work to meet their unique requirements. We also offer entirely remote positions- Foundational coding skills in Python; exposure to Ansible or Go is a plus
- Basic understanding of SQL queries for data extraction and analysis; familiarity with Jupyter notebooks is a plus
- Exposure to containerization technologies such as Docker and Kubernetes
- Eagerness to learn, a self-starter attitude, and the ability to thrive in a fast-paced, collaborative environment
- General awareness of networking concepts (e.g., Data Center, WAN, DNS/DHCP) — deeper expertise can be developed on the job
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field
- Basic familiarity with public cloud platforms such as AWS, GCP, or Azure
- 0–3 years of professional experience in a technical or engineering role
- Strong communication skills, both verbal and written, with a desire to learn in a customer-facing environment
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