Solutions Engineer

Selector AI; Santa Clara (CA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Equity packages

Healthcare

Unlimited PTO

401K and Roth 401K

Life insurance

Hybrid/Remote work

Job summary

Selector AI in Santa Clara, CA is seeking a technically curious engineer to join our analytics Platform team. You will learn our operational analytics solution for networks, applications, and security workflows, support deployment at customer sites, and work alongside senior engineers to meet customer requirements.

The role requires foundational Python, SQL, and container experience, plus knowledge of Docker/Kubernetes and cloud basics.

Qualifications

• 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 containerization technologies such as Docker and Kubernetes
• Eagerness to learn, a self-starter attitude, and ability to thrive in a fast-paced environment
• Bachelor’s degree or higher in Computer Science, Engineering, or a related field
• 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

Responsibilities

• 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

Skills

Python

Ansible

Go

SQL

Jupyter

Docker

Kubernetes

Communication

Customer-facing

Quick learner

Networking basics

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Ansible

Jupyter notebooks

Job description

• 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 plusBasic understanding of SQL queries for data extraction and analysis; familiarity with Jupyter notebooks is a plusExposure to containerization technologies such as Docker and KubernetesEagerness to learn, a self‑starter attitude, and the ability to thrive in a fast‑paced, collaborative environmentGeneral awareness of networking concepts (e.g., Data Center, WAN, DNS/DHCP) — deeper expertise can be developed on the jobBachelor’s degree or higher in Computer Science, Engineering, or a related fieldBasic familiarity with public cloud platforms such as AWS, GCP, or Azure0–3 years of professional experience in a technical or engineering roleStrong communication skills, both verbal and written, with a desire to learn in a customer‑facing environment