Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines. We are an early stage startup and looking for SRE lead to build and maintain scalable deployments.

REQUIREMENTS

• BS, MS, or PhD degree in Computer Science, or related field;
• 5+ years of experience in software engineering, including large-scale SaaS application deployment;
• Strong understanding of Kubernetes deployment and monitoring, and alerting workflow such as Pagerduty/Opsgenie;
• Proficiency with automation tools such as Terraform, Ansible, Docker and Helm;
• Proficiency with Python/bash for automation & achieving operational excellence;
• Strong communication and comprehension skills, both verbal and written.

RESPONSIBILITIES

• Manage cloud SaaS Service platform with high uptime focused on Kubernetes deployment;
• Ensure a high security posture and ensure platform stays compliant with varying accreditations (SOC2/FedRAMP);
• Identify opportunities to improve efficiency of CI/CD pipeline and optimize developer productivity;
• Develop tools and code to automate manual steps in the pipeline and optimize existing steps;
• Develop and manage Kubernetes Operators and Custom Resource Definitions;
• Participate in On-call duties;
• Define and adhere to platform SLIs/SLOs;
• Assist the team with operational improvements & working through backlog tasks.

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early stage startup and looking for strong automation engineers to join us and help drive quality engineering.

RESPONSIBILITIES

• Design and build the automation and testing framework to ensure quality delivery of services;
• Integrate metrics and service operation stats as part of automation to help debuggability, monitoring of services;
• Create integration tests for services and integrate with CI/CD pipeline;
• Provide support for features and platform.

REQUIREMENTS

• 5+ years of experience building automation frameworks in python;
• Strong knowledge of testing frameworks;
• Background includes working with Docker, Kubernetes, or other container technologies;
• Strong communication and comprehension skills, both verbal and written;
• BS/MS degree in Computer Science or equivalent with 8+ years of experience in software development and/or test automation.

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early stage startup and looking for strong software engineers to join us and help build the core backend platform.

RESPONSIBILITIES

• Design and build core backend platform services in python/golang;
• Build services with a scale-out architecture for micro services based deployments;
• Integrate metrics and service operation stats as part of the services to help debuggability, monitoring of services;
• Developing REST APIs for the services;
• Create unit and integration tests for your services and integrate with CI/CD pipeline;
• Provide support for features and platform.

REQUIREMENTS

• BS, MS, or PhD degree in Computer Science, or related field;
• Software engineering experience, including large-scale SaaS application development;
• Strong communication and comprehension skills, both verbal and written;
• Proficiency with either Go, Python in a production environment;
• Background includes working with Docker, Kubernetes, or other container technologies;
• Good understanding of data modeling and storage with NoSQL and RDBMS;
• Comfortable with tuning application performance and engineering for scalability.

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early stage startup and looking for data science engineers to join us and help build the core data science AI/ML engine.

RESPONSIBILITIES

• Design, prototype, implement and test descriptive, predictive analytics, forecasting, and causal inference model;
• Apply machine learning in a production environment;
• Partner with teams to identify and explore opportunities for the application of machine learning and predictive analysis;
• Build services with a scale-out architecture for micro services based deployments;
• Integrate metrics and service operation stats as part of the services to help debuggability, monitoring of services;
• Developing REST APIs for the services;
• Create unit and integration tests for your services and integrate with CI/CD pipeline;
• Provide support for features and platform.

REQUIREMENTS

• BS, MS, or PhD degree in Computer Science, Statistics, or related field;
• Software engineering experience, including large-scale SaaS application development;
• Familiarity with ML toolkits, e.g., TensorFlow, PyTorch, Jupyter, Pandas etc., is a plus;
• Proficiency with Python in a production environment;
• Background includes working with Docker, Kubernetes, or other container technologies;
• Good understanding of data modeling and storage with NoSQL and RDBMS;
• Comfortable with tuning application performance and engineering for scalability;
• Strong communication and comprehension skills, both verbal and written.

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early-stage startup and looking for data science engineers to join us and help build the core data science AI/ML engine.

RESPONSIBILITIES

• Collaborate with sales team and partners for pre-sales activities;
• Provides product technical engineering support during POC (Proof-Of-Concept) evaluations;
• Help sales teams and partner to convert POC evaluations to revenue;
• Develop product and technical collaterals to train customers, partners, and sales teams;
• Capture new customer requirements and communicate it to engineering.

SKILLS AND EXPERIENCE

• Experienced in monitoring or analytics platforms for Applications, Network or Cloud infrastructure;
• Hands-on experience with designing SQL queries to extract, validate, and analyze data;
• Experienced with public cloud platforms such as AWS, GCP, and Azure;
• Background includes working with Docker, Kubernetes, or other container technologies;
• DevOps/SRE/NetOps experience is preferred;
• Strong communication and comprehension skills, both verbal and written;
• 3-5 years relevant experience with analytics, data engineering, or DevOps.

REQUIREMENTS

• Bachelor’s degree or higher in a relevant field;
• Sales engineering background or 5+ years of relevant work experience;
• Ability to travel as required.

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early-stage startup and looking for a strong Product Designer to join us and help build the platform.

RESPONSIBILITIES

• Create compelling UX design assets in collaboration with product teams
• Lead the UX process & implementation of deliverables using wireframes, mocks, high fidelity visual design
• Create user journeys, wireframes, detailed UX flows, pixel perfect screens & prototypes that show micro interactions & full experiences
• Build a library reusable component, style guide, and UI conventions
• Grow into a people leader, with the ability to recruit and mentor UX and UI engineers

REQUIREMENTS

• Bachelor’s degree in computer science, graphic design, web design, or similar field
• 5+ years previous experience as a UX engineer/Product Designer
• Experience with data analytics products
• Proficient in common design tools – Figma, Sketch, or similar
• Extensive expertise in the design, development, and use of component-based UI architectures
• Strong communication and comprehension skills, both verbal and written

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early-stage startup and looking for strong software engineers (new college grads and experienced) to join us and help build the platform.

RESPONSIBILITIES

• Write, review, deploy, and maintain code in Python or Golang;
• Build services with a scale-out architecture for micro services based deployments;
• Develop REST APIs for services;
• Create unit and integration tests for your services and integrate with CI/CD pipeline;
• Provide support for features and platform.

REQUIREMENTS

• Bachelor’s degree in computer science, or similar field;
• 0-1 years of relevant coding experience for new grad positions;
• 3+ years of relevant coding experience for senior positions;
• Experience with Python (Fast API, Pytest, Async I/O, Packaging) or Golang;
• Experience with Concurrent programming, Data Pipelines, Packet processing, GRPC, Protobuf. Golang test framework is desirable;
• Experience with GCP/AWS/Docker/ CI Tools;
• Strong analytical & problem-solving skills;
• Strong communication and comprehension skills, both verbal and written.

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early stage startup and looking for strong solutions engineers to join us and help drive customer satisfaction.

RESPONSIBILITIES

• Be a technical expert on Selector’s operational analytics solution for networks, applications & security workflows;
• Take a hands-on role in the integration of product to meet customer requirements;
• Deploy Selector’s solution at customers, including understanding their data, workflow & analytics requirements;
• Ensure that customers are adequately enabled for use, understanding & self serve extensions of Selector’s capabilities;
• Collaborate with sales team and partners for pre-sales activities;
• Own design, development & execution plans for POC, and lead to completion of deployment;
• Improve the product features and quality through enhancement proposals and customer reviews.

REQUIREMENTS

• Bachelor’s degree or higher in a relevant field;
• Sales engineering/Pre-Sales/POC/Solutions Engineering background or 5+ years of relevant work experience;
• Experienced with public cloud platforms such as AWS, GCP, and Azure;
• Hands-on experience with Docker, Kubernetes, AWS CloudFormation Templates, and YAML;
• Experienced in scripting with Python, Ansible, and Terraform;
• Experienced with designing SQL queries to extract, validate, and analyze data using Jupyter notebook;
• Strong communication and comprehension skills, both verbal and written;
• Experience with networks (e.g. Data Center, WAN, SD-WAN, Wifi, DNS/DHCP, Load Balancing)
• Familiarity with network analytics

Email: jobs@selector.ai

Three years ago, we set out to develop an operational analytics platform that would eliminate downtime and empower operations teams with tools to be more efficient and productive in their jobs. We wanted to make their lives easier, taking the complexity out of application and networking issues by providing a solution that combines intelligence and analytics but most importantly gives them actionable outcomes.  

We like to think about it in terms of all the iterations of search engines before Google came on the scene. The early “search” engines were very literal and required the user to wade through links and know exactly what they were looking for, whereas Google’s superpower is its ability to predict what you’re searching for and deliver more precise results, even leading you to the answers to questions you didn’t know to ask. This is the approach that our platform, Selector Analytics, takes to the AIOps space. 

Companies like Comcast, NBC and Bell Canada are leveraging Selector today to reduce operational noise and correlate events across all their applications, network, infrastructure, and social media to gain actionable service insights and detect and resolve incidents faster than ever before. 
 

To continue our growth, we are looking to build out our demand generation team. As a key member of the Growth team, we are looking for a full-stack marketer who enjoys being hands on and driving impact through scaled execution. We are looking for passionate, excited team members earlier in the career who are looking to learn and grow quickly. In this role you will report directly to the CRO. 

RESPONSIBILITIES

Devise and curate hyper-targeted digital marketing campaigns. Rigorously optimize through experimentation on both email and marketing surfaces. Create A/B tests to iterate on ad creative, copy, and landing page content to increase engagement. Partner with the CRO to define and execute growth marketing strategy, prioritize levers using funnel data and user research, design and execute experiments, rigorously monitor results, and scale successful marketing programs. 
 

Oversee execution of our demand generation and nurture content strategies. Monitor reporting metrics and analytics to measure the ROI of our spend to pipeline and revenue impact. Work closely with the Growth and Marketing team to understand target markets and work to create impactful collateral. 

REQUIREMENTS

• 1-3 years of Growth Marketing or Demand Generation experience  
• Familiarity with modern digital growth strategies including SEO, SEM, social ads, and more
• Ability to write effective on-brand copy together with extreme attention to detail
• Creative and empathetic thinker; you care deeply about our customers and can build precise targeting as well as delightful, on-brand experiences for them 
• Strong analytical skills with experience in measuring success of campaigns
• Strong results orientation, proven record performing to aggressive growth targets 
• Strong interpersonal skills to collaborate effectively with cross-functional teams, specifically with product, engineering, and marketing operations
  Knowledge of email best practices 
• Flexibility & ability to work in a fast paced and dynamic environment
• Experience with Hubspot (or other marketing automation platforms) and Salesforce is strongly preferred 
• Past experience in marketing technical products to an engineering audience is a huge plus

SELECTOR IS

• Committed to diversity and an employee centric workplace
• Passionate about our customers and team members
• Graceful under pressure in a quickly growing business
• Most importantly make sure that we have fun along the way and continuously learn!

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs throughseamless collaboration, search-driven conversational user experience, and automated data engineering pipelines.

We are an early-stage startup and looking for product managers who will play a key role in defining the vision, product requirements, and go-to-market strategy of our AIOps platform. You will work with engineering, sales, and customers to prioritize roadmap features, develop long-term product strategy, and ensure product success.

SKILLS AND EXPERIENCE

• Experienced in Monitoring / Observability / ITSM and related products for Applications, Network or Cloud infrastructure;
• Experienced in working closely with enterprise customers and channel partners;
• Excellent communication and comprehension skills, both verbal and written to clearly and concisely communicate complex topics to diverse stakeholders;
• 3+ years relevant experience with analytics and data engineering;
• Experience with AI/ML-powered enterprise software products is preferred.

REQUIREMENTS

• Bachelor’s degree or higher in computer science or related engineering practice;
• 5+ years of Product Management or relevant Engineering Leadership position;
• Ability to travel as required.

Email: jobs@selector.ai

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search driven conversational user experience and automated data engineering pipelines.

We are an early-stage startup and looking for strong UI engineers to join us and help build the platform.

RESPONSIBILITIES

• Develop UI features in React.js in collaboration with UX team
• Design patterns to create simple and reusable components for complex UI
• Build intuitive and simple interactions for data integrations, policy configuration, data visualization & workflow automation
• Debug code errors, performance issues and troubleshoot software issues
• Write unit tests for UI features

REQUIREMENTS

• Bachelor’s degree in computer science, graphic design, web design, or similar field
• Previous experience as a UI engineer
• Proficient with front-end languages including HTML, JavaScript, CSS, and React framework
• Extensive expertise in the design, development, and use of component-based UI architectures
• Strong communication and comprehension skills, both verbal and written
• Experience with creating user interface for an enterprise product

Email: jobs@selector.ai