iSpot.tv

Support Engineer

• Own and manage a daily, task-based Zendesk ticket queue
• Provide an exceptional level of customer service
• Evaluate, troubleshoot, and replicate complex UI bugs and data discrepancies
• Utilize MySQL databases to perform backend data verification
• Assist with pixel creation and deployment troubleshooting
• Address intricate customer inquiries regarding platform methodologies

Customer Support Analyst

Data Scientist

• Implement industry-standard predictive modeling solutions
• Analyze, manipulate, clean, and process large and messy data
• Code original R/Python scripts and develop analytical reports
• Work independently or collaboratively on large data science problems
• Provide technical data science expertise to assist sales teams
• Conduct in-depth research to improve multi-source data quality

Full-stack Engineer

• Deliver data to business units using standardized data delivery pipelines
• Oversee datasets and ETLs connected to iSpot’s product suite
• Collaborate with operations teams for seamless data integration
• Author and own testing plans for assigned projects
• Define metrics and targets, perform RCA for alerts and incidents
• Communicate complex ideas across Engineering project teams

Software Development Engineer 3

• Own and manage daily task-based Zendesk ticket queue with guaranteed response and resolution times
• Provide exceptional customer service while maintaining high-velocity throughput across diverse tasks
• Evaluate, troubleshoot, and replicate complex UI bugs and data discrepancies
• Monitor platform health and lead incident communications with clients
• Collaborate closely with iSpot’s Solutions, Content Ops, and Engineering teams

Revenue Operations

• Support the ongoing development of the buy-side (Brand, Client) and sell-side (Partnerships) Customer Success teams
• Ensure CS teams have the specific content and tools required to support conversations during Renewal, Value Confirmation Processes and Expansion Opportunities.
• Work with CS Leadership to ensure CS teams have the appropriate industry, product, sales knowledge and skills to succeed in a variety of client-facing conversations.
• Partner with Product Marketing to develop specific learning paths tailored to unique technical and commercial needs of the CS team for major product releases.
• Design an enablement programming calendar aligned to the needs of the CS teams, with reinforcement mechanisms designed to be executed by CS Leaders.
• Collaborate with the Client Training team to support the onboarding of new CS hires, as necessary
• Track KPIs and ROI of enablement initiatives to identify training needs, skill gaps, and process gaps
• Monitor performance tracking metrics for CS roles and identify when enablement intervention can support performance goals.

Senior Revenue Enablement Manager

• Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
• Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
• Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
• Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Research Data Scientist 1

Account Executive

• Manage all aspects of client selling: prospecting, presenting, proposal generation, relationship management, closing and transition
• Leverage generative AI tools for prospect research and personalized outreach
• Develop and execute territory account plans to exceed quota responsibility
• Position new opportunities/products and run demos
• Build and consistently deliver against an accurately forecasted pipeline
• Manage multiple customer sales cycles and close effectively
• Develop strong relationships with key decision makers within identified territory
• Utilize customer and prospect contact activities and update relevant information in systems
• Deploy the iSpot Sales Process to effectively move opportunities through pipeline

Senior Brand Partnerships Account Executive

• Process massive streams of media metadata in a high-scale AWS environment.
• Deliver high-quality features that power industry-leading measurement and attribution products.
• Independently own and deliver features, writing high-quality code that includes monitoring, metrics, and logging as standard practice.
• Author and own the testing plan for features, performing various test types and identifying patterns in test results.
• Actively participate in code reviews to ensure a healthy and maintainable codebase.
• Use AI tools to improve task speed and quality, critically evaluate AI-generated output, and identify enhancements in work assignments.
• Participate in the on-call rotation and contribute to defining on-call expectations.

Customer Support Analyst

Data Scientist

Software Development Engineer 3

Customer Support Analyst

Senior Revenue Enablement Manager

Research Data Scientist 1

Senior Brand Partnerships Account Executive

Software Development Engineer, Level 2