Top Tech Jobs & Startup Jobs

Design, architect, and maintain an internal AI-native platform; build and scale custom AI solutions and automated workflows for cross-functional teams; enforce security, governance, and compliance; identify and enable departmental self-service using approved AI capabilities; monitor organizational AI compliance and data privacy.

Lead the Acquire product group end-to-end: set strategy and roadmap, manage three PMs, translate predictive models into ad-platform product value, partner with Data Science, Engineering, Operations, and GTM teams, and productize operational workflows into scalable, AI-driven tools.

Own post-sale implementation and optimization for enterprise customers: design experiments on Google and Meta, ensure signal quality and conversion tracking, troubleshoot integrations, analyze data with SQL, and drive measurable acquisition performance and bidding strategy improvements.

Design and implement scalable data pipelines and microservices, maintain backend services, and evolve the platform infrastructure for effective data management.

Lead the design and implementation of AI solutions for Lifecycle Marketing, using expertise in causal inference and experimentation while mentoring team members.

Drive commercial success by managing client relationships, focusing on upselling and renewals, and identifying new business opportunities while ensuring alignment with clients' strategic goals.

Lead development of the Engage product: design, build, and operate end-to-end production systems spanning data pipelines, ML decisioning services, backend and UI. Ship features from prototype to production, monitor performance, and collaborate with product and data science to iterate and scale.

Manage and optimize paid media campaigns (primarily Google Ads and UAC), collaborate with technical teams and Client Partner to implement testing and bidding strategies, analyze campaign data to surface insights, maintain reporting and dashboards, and support adoption of predictive signaling strategies to meet client KPIs.

Build and own end-to-end features for the Voyantis UA Platform, including backend services, APIs, databases, LLM agents, data pipelines, UI, monitoring and dashboards. Ensure performance, correctness, reliability and scalability while contributing to architecture, experimentation and operational excellence.