Jobs at iSpot.tv

Provide high-level administrative support to the CRO/President and CPO: manage complex calendars, plan executive meetings and offsites, coordinate travel and expenses, prepare executive presentations and correspondence, act as strategic gatekeeper for stakeholders, and track action items to ensure cross-departmental alignment between Revenue and Product.

Lead AI product strategy and execution across Creative, Audience, and Outcomes products. Identify and prototype generative AI and agentic solutions, build and scale AI teams, define architectures and MLOps, embed responsible AI and governance, and partner with product, engineering, and commercial teams to deliver measurable customer and revenue outcomes.

Lead and manage Site Reliability Engineering operations, focusing on system reliability, developer productivity, and strategic leadership to enhance service stability and streamline software delivery processes.

Lead and grow the Client Data Science team (including three direct reports); mentor staff; write and optimize R, Python, and SQL code; apply machine learning and statistical methods; aggregate and analyze multi-source data; create visualizations and reports; liaise with stakeholders; document work in JIRA and present findings to diverse audiences.

Assist the Research Data Science team by analyzing large viewing and demographic datasets, building statistical and machine learning models, developing data pipelines, prototyping AI solutions, and working with engineering and product teams to scale models for measurement and attribution use cases.

The Business Development Specialist manages deliverables during the integration process, ensuring cooperation between teams and timely execution of tasks for partnerships.

As Payroll Lead, you manage end-to-end payroll processing, compliance, and system optimization while implementing AI-driven improvements and collaborating with finance teams.

Lead the development of full-stack software focusing on front-end architecture and UI systems. Own on-call responsibilities, mentor less experienced engineers, and drive innovation across platforms.

Build and operate production services in a high-scale AWS environment. Own feature development end-to-end, write high-quality tested code, use AI tools to accelerate development, participate in on-call and incident response, and collaborate across engineering, product, and data science to improve reliability and deployment pipelines.

Lead design and ownership of scalable data domains, build and maintain data pipelines (Airflow, Snowflake), drive platform engineering and cost-conscious cloud architecture on AWS, champion AI-assisted development, mentor engineers, ensure operational excellence, automate toil reduction, and guide cross-functional stakeholders.

The role involves managing client relationships and sales strategies, utilizing AI tools for prospect research, and achieving sales quotas in a dynamic environment.