Top Tech Jobs & Startup Jobs

Own an enterprise customer book of business, supporting onboarding, integrations, troubleshooting, support tickets, data reviews, and product feedback. Monitor account health and usage data to identify churn risks, drive retention and expansion, and improve customer engagement. Partner cross-functionally with Product, Engineering, Onboarding, Support, and Media Strategy to resolve technical issues, coordinate deliverables, and enhance customer success processes.

Own an enterprise customer portfolio, supporting onboarding, product integrations, troubleshooting, account health monitoring, retention, and expansion. Coordinate with Product, Engineering, Support, Onboarding, and Media Strategy teams to resolve issues, deliver recurring insights, manage feedback, and improve customer engagement. Use analytics and CRM tools to identify risks, automate health tracking, and help customers maximize Northbeam’s marketing intelligence platform.

Advise eCommerce clients on media buying, budget allocation, creative strategy, attribution, and growth across Meta, Google, TikTok, and other channels. Conduct data reviews and growth audits, translate attribution and marketing mix modeling data into actionable recommendations, support onboarding and retention, and guide experimentation, scaling, and LTV:CAC improvement. Collaborate cross-functionally to communicate customer needs and develop repeatable benchmarking, goal-setting, and executive reporting playbooks.

Advise eCommerce clients on media buying, budget allocation, creative strategy, attribution, and growth frameworks across paid channels. Conduct data reviews and growth audits, translate attribution and MMM insights into recommendations, support onboarding and retention, and develop repeatable reporting and benchmarking playbooks. Collaborate with Product, Marketing, and Customer Success teams to communicate customer needs and improve the platform.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.

Lead large, complex B2B SaaS product initiatives from concept to launch, owning roadmap, specs, UAT, and go-to-market enablement. Work closely with engineering, data science, and design to embed AI and measurement capabilities (MTA, MMM, incrementality) into product experiences, and engage directly with customers to validate and iterate.

Senior product leader owning company roadmap and driving flagship, data- and AI-driven product initiatives end-to-end. Work directly with customers, partner closely with design, engineering, and data science, manage and elevate senior PMs, run development sprints and UAT, and equip GTM teams. Hands-on player-coach role focused on shipping AI and measurement features for marketing attribution and analytics.

Design, develop, and deliver fullstack web solutions, optimize platforms, mentor engineers, and manage product features from ideation to launch.

Lead development and operationalization of measurement products (MMM, incrementality, insights, recommendations). Build, deploy, and maintain production-grade statistical and ML systems, debug end-to-end data and model issues, evaluate methodologies, and partner with engineering, product, and customer teams to improve measurement accuracy and reliability. Provide customer-facing explanations and support for measurement outputs.