Top Tech Jobs & Startup Jobs

Lead the Landing Pages engineering team, overseeing product vision, architecture, software delivery, and team development. Partner with product and design to prioritize features, validate adoption using usage data, and scale web experiences, APIs, integrations, hosting, and reporting. Recruit, coach, and retain engineers while guiding major technical decisions and contributing code when appropriate.

Lead the Landing Pages engineering team, overseeing product vision, architecture, development, and scalable web experiences. Collaborate with product and design to prioritize capabilities, validate adoption using usage data, and expand customer use cases. Recruit, coach, and retain engineers while guiding technical decisions and contributing code when appropriate. Own team goals, processes, and engineering quality in a high-growth environment.

Lead the Landing Pages engineering team, overseeing product vision, architecture, scalable web systems, APIs, integrations, reporting, and delivery. Partner with product and design to prioritize features and grow adoption. Recruit, coach, and retain engineers while guiding technical decisions and occasionally contributing code.

Manage strategic enterprise accounts and pursue new business across media, entertainment, gaming, sports, and related industries. Build C-suite relationships, provide industry thought leadership, retain and expand high-value accounts, execute consultative value selling, develop multi-threaded account strategies, collaborate cross-functionally, prospect outbound, and manage pipeline forecasting using Salesforce.com, Clari, and related sales tools.

Manage and expand a portfolio of strategic enterprise accounts while pursuing new business across media, entertainment, gaming, sports, and related industries. Build C-suite relationships, provide industry thought leadership, execute consultative value selling, develop multi-threaded account strategies, collaborate cross-functionally, and manage pipeline forecasting using Salesforce and Clari. Retain high-value customers, identify expansion opportunities, prospect for new enterprise logos, and navigate complex organizations and dynamic M&A environments.

Manage and expand a portfolio of strategic enterprise accounts while pursuing new business across media, entertainment, gaming, sports, streaming, and news organizations. Build C-suite relationships, provide industry thought leadership, execute consultative value selling, develop multithreaded account strategies, collaborate cross-functionally, and maintain accurate pipeline forecasts using Salesforce.com, Clari, and related revenue tools.

Manage and expand a portfolio of strategic enterprise accounts while pursuing new business across media, entertainment, gaming, sports, and related industries. Build C-suite relationships, provide industry thought leadership, lead consultative value selling, develop multi-threaded account strategies, collaborate cross-functionally, and maintain accurate pipeline forecasts using Salesforce and Clari.

Own product marketing for Braze Decisioning Studio, including positioning, messaging, launches, competitive strategy, pricing and packaging input, field enablement, and portfolio narrative. Translate complex AI and data technologies for technical and business audiences, influence product roadmaps, engage customers and analysts, create thought leadership, and measure impact through pipeline, adoption, expansion, and competitive win rates.

Lead the technical vision and delivery of production machine learning systems, including distributed training, model serving, lifecycle management, and customer-specific model pipelines. Drive cross-team initiatives, establish engineering best practices, improve ML platform reliability and scalability, mentor senior engineers and data scientists, and connect technical decisions to customer and business outcomes.

Lead end-to-end machine learning initiatives for Braze’s Predictive and Generative AI team. Design, train, deploy, and operate predictive models, distributed training and serving systems, customer-specific model pipelines, and high-throughput prediction APIs. Set technical direction and quality standards, drive cross-team initiatives, mentor engineers and data scientists, and connect ML platform decisions to customer and business outcomes.