Senior Solutions Engineer

About Selector Selector is building an operational intelligence platform for digital infrastructure. Using an AI/ML-based analytics approach, the platform provides actionable, multi-dimensional insights to network, cloud, and application operators. It helps operations teams meet their KPIs through seamless collaboration, a search-driven conversational experience, and automated data engineering pipelines. Our solutions are used by leading Telecom, Media, Health Care, Finance, Retail, Professional Sports, and Fortune 500 enterprise organizations around the world. Our novel approach and rapidly expanding footprint position us for continued growth as a category leader About the Role We are looking for a Senior Solution Engineer to work closely with enterprise customers, partners, and our sales and product teams. This role combines deep technical expertise with customer-facing responsibilities and requires the ability to understand complex business and technical requirements, design solutions, and lead implementations from proof of concept through production deployment. The ideal candidate is a hands-on technologist who understands modern networks, cloud infrastructure, observability, and analytics and can translate customer challenges into scalable solutions using Selector's platform. Responsibilities - Serve as a technical subject matter expert for Selector's operational intelligence and analytics platform across network, cloud, application, and security workflows. - Partner directly with enterprise customers to understand their technical requirements, operational challenges, data sources, and business objectives. - Lead solution architecture, design, development, and implementation of Selector solutions for complex enterprise environments. - Take a hands-on role in integrating Selector with customer infrastructure, data sources, APIs, monitoring systems, and operational workflows. - Own and lead customer Proofs of Concept (POCs), from requirements gathering and solution design through implementation, validation, and executive demonstration. - Lead customer deployments from initial design through production rollout, ensuring successful adoption and measurable business outcomes - Develop scalable data pipelines, integrations, dashboards, analytics, correlations, and workflows tailored to customer requirements. - Work closely with Sales and Account teams during pre-sales engagements, including technical discovery, solution presentations, demonstrations, architecture discussions, and RFP/RFI responses. - Collaborate with Product and Engineering teams to translate customer requirements into product enhancements and new capabilities. - Provide technical leadership and mentorship to other Solution Engineers and customer-facing technical teams. - Develop reusable deployment methodologies, automation, documentation, runbooks, and best practices to improve implementation efficiency - Troubleshoot complex production issues and work cross-functionally to drive issues to resolution. - Enable customers to independently operate, extend, and derive value from Selector's platform. - Represent customer requirements internally and provide actionable feedback to Product and Engineering teams. - Travel to customer and company locations as required. Requirements - Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. - 7+ years of relevant experience in software engineering, solutions engineering, systems engineering, network engineering, DevOps, observability, or a related technical discipline. - Strong hands-on programming experience with Python. - Strong experience designing and implementing enterprise solutions across on-premises and public cloud environments. - Hands-on experience with one or more major public cloud platforms such as AWS, Azure, or GCP. - Experience with Docker, Kubernetes, YAML, REST APIs, and modern cloud-native technologies. - Strong experience working with SQL to extract, validate, transform, and analyze data; experience using Jupyter notebooks or similar data-analysis tools. - Strong understanding of enterprise networking, including technologies such as Data Center, WAN, SD-WAN, Wi-Fi, DNS/DHCP, Load Balancing, BGP, and network monitoring. - Experience with network monitoring, observability, telemetry, event management, or network analytics platforms. - Experience working with APIs, streaming data, logs, metrics, events, and other operational data sources.  - Ability to understand complex customer environments and translate technical requirements into scalable solution architectures. - Excellent written and verbal communication skills with the ability to communicate effectively with both technical and executive audiences. - Strong customer-facing skills and experience working directly with enterprise customers. - Ability to work independently in a fast-paced, high-growth environment while managing multiple customer engagements and priorities. - Willingness to travel to customer sites and company locations as needed. Preferred Qualifications - Experience with observability, AIOps, network analytics, or IT operations platforms. - Experience with technologies such as Prometheus, Kafka, Elasticsearch, Grafana, OpenTelemetry, SNMP, Syslog, or similar monitoring and telemetry platforms. - Experience implementing AI/ML or LLM-based solutions for enterprise operations. - Experience with network automation and infrastructure-as-code technologies. - Experience leading enterprise POCs and complex production deployments. - Experience working with large telecommunications, retail, media, financial services, or technology organizations. - Experience mentoring engineers or leading technical project teams. Benefits & PerksCompetitive base salary and performance-based compensation.Comprehensive medical, dental, and vision insurance for employees and eligible dependents.Employer-sponsored life and disability insurance.401(k) retirement plan. Paid Time Off, including vacation, sick leave, and company holidays.Paid parental and family leave, subject to applicable company policy and law.Flexible and/or hybrid work environment, depending on role and location.Opportunities for professional growth, technical leadership, and career development.Opportunity to work with leading enterprise customers and solve complex challenges across networking, cloud, observability, and AI/ML. Compensation The salary for this role is $150,000 – $180,000. Final offer amounts are determined by multiple factors, including prior experience and job location, and may vary from the amount listed.