Senior Manager, Engineering - AI/Machine Learning at Conviva
San Mateo, CA 94403
About the Job
Conviva is the first and best place to go to understand and optimize digital customer experiences.
Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real time and at a fraction of the cost of alternative solutions.
Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue.As a SeniorEngineering Manager at Conviva, you will lead a team of talented data scientists and machine learning engineers and guide them in developing and implementing machine learning models and MLOps solutions.
You will thrive in a fast-paced environment where you'll work closely with cross-functional teams to optimize the streaming experience for our customers and their viewers.
Leveraging cutting-edge data science techniques, you will play a pivotal role in driving innovation and delivering impactful solutions in the rapidly evolving streaming media industry.What Success Will Look Like: Partner with the Product team to develop and refine the vision for innovative machine learning products.Communicate and align internal stakeholders with the machine learning product vision, building consensus and securing support for strategic initiatives.Lead engineering teams in executing the product roadmap, ensuring that machine learning solutions meet performance criteria and deliver substantial business value.Own the machine learning technology roadmap, including planning, execution, and updates, to keep it aligned with industry trends and business objectives.Promote the machine learning team's achievements within the company to enhance internal recognition and support, and advocate for the team’s innovations in external forums.Attract and hire machine learning talent across the entire lifecycle, from data engineering to model deployment.Maintain a thorough understanding of how customers interact with and benefit from machine learning-enhanced products.
Work closely with product managers to identify and define new use cases where machine learning can address complex business challenges.Who You Are & What You've Done: Mastery of the entire machine learning lifecycle, from initial concept through to production deployment. Ability to assess and evaluate machine learning solutions using a combination of machine learning, business, and operational metrics.Proven experience in leading and managing a team of ML engineers and data scientists, driving their professional growth and delivering impactful projects within tight deadlines.Strong written and verbal communication skills, essential for effective interaction and documentation.Proven ability to secure stakeholder buy-in and collaborate effectively with cross-functional teams.Capability to co-develop product features and roadmaps in partnership with product managers.In-depth practical and theoretical knowledge of machine learning and deep learning principles, including the deployment and ongoing enhancement of ML products.Familiarity with Python and commonly used ML frameworks.Experience in guiding and mentoring machine learning engineers to foster their growth and development.Skills in managing complex projects and delivering them efficiently and effectively.BS/MS or PhD in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline.Preferred:Familiar with common graph algorithms.Experience with time series analysis.Experience with Ad Tech or ID graph.The expected salary range for this full-time position is $200,000 - $300,000 + equity + benefits.
Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe.
For more information, visit us at .
Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!
Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real time and at a fraction of the cost of alternative solutions.
Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue.As a SeniorEngineering Manager at Conviva, you will lead a team of talented data scientists and machine learning engineers and guide them in developing and implementing machine learning models and MLOps solutions.
You will thrive in a fast-paced environment where you'll work closely with cross-functional teams to optimize the streaming experience for our customers and their viewers.
Leveraging cutting-edge data science techniques, you will play a pivotal role in driving innovation and delivering impactful solutions in the rapidly evolving streaming media industry.What Success Will Look Like: Partner with the Product team to develop and refine the vision for innovative machine learning products.Communicate and align internal stakeholders with the machine learning product vision, building consensus and securing support for strategic initiatives.Lead engineering teams in executing the product roadmap, ensuring that machine learning solutions meet performance criteria and deliver substantial business value.Own the machine learning technology roadmap, including planning, execution, and updates, to keep it aligned with industry trends and business objectives.Promote the machine learning team's achievements within the company to enhance internal recognition and support, and advocate for the team’s innovations in external forums.Attract and hire machine learning talent across the entire lifecycle, from data engineering to model deployment.Maintain a thorough understanding of how customers interact with and benefit from machine learning-enhanced products.
Work closely with product managers to identify and define new use cases where machine learning can address complex business challenges.Who You Are & What You've Done: Mastery of the entire machine learning lifecycle, from initial concept through to production deployment. Ability to assess and evaluate machine learning solutions using a combination of machine learning, business, and operational metrics.Proven experience in leading and managing a team of ML engineers and data scientists, driving their professional growth and delivering impactful projects within tight deadlines.Strong written and verbal communication skills, essential for effective interaction and documentation.Proven ability to secure stakeholder buy-in and collaborate effectively with cross-functional teams.Capability to co-develop product features and roadmaps in partnership with product managers.In-depth practical and theoretical knowledge of machine learning and deep learning principles, including the deployment and ongoing enhancement of ML products.Familiarity with Python and commonly used ML frameworks.Experience in guiding and mentoring machine learning engineers to foster their growth and development.Skills in managing complex projects and delivering them efficiently and effectively.BS/MS or PhD in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline.Preferred:Familiar with common graph algorithms.Experience with time series analysis.Experience with Ad Tech or ID graph.The expected salary range for this full-time position is $200,000 - $300,000 + equity + benefits.
Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe.
For more information, visit us at .
Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!