Top Tech Jobs & Startup Jobs

Lead analytics engineering: design scalable dimensional models, build modular tested transformations, replace brittle pipelines with reusable patterns, drive semantic layers and self-service analytics, partner on data architecture, and provide cross-functional technical leadership and governance.

Lead adoption and proficiency of Sales and CS tools by designing onboarding, training, upskilling, proficiency assessments, and utilization benchmarks. Partner with RevOps, IT, and Enablement to evaluate vendors, inform RFPs, connect usage data to revenue outcomes, and scale AI-assisted workflows to improve adoption and business impact.

Lead development of graph-based identity resolution for CTV advertising: design models and validation, analyze large identity datasets with distributed tools, productionize data-science workflows, partner with engineering/product, and apply privacy-by-design while leveraging LLMs and AI-assisted development.

The Senior Partner Marketing Manager will design and operationalize a scalable partner marketing engine, enhance partner engagement, and utilize data to drive revenue and pipeline growth through co-selling and marketing initiatives.

The Vertical Lead will own revenue performance across a category of advertisers, drive new business growth, manage a team of Account Executives, and collaborate cross-functionally to enhance customer outcomes and revenue growth.

The Corporate FP&A Manager will oversee financial planning, analysis, and reporting, while driving strategic initiatives and providing cross-functional financial guidance.

Lead the Performance ML team at MNTN, driving strategy and deployment of predictive models for ad technology, while managing, mentoring, and scaling engineering teams.

The Email Marketer will drive email marketing strategy, manage campaigns, optimize customer retention, and analyze performance for revenue growth.

Lead customer analytics to measure and improve campaign and product performance. Build scalable data models, dashboards, and reports; perform segmentation, cohort, forecasting, anomaly detection, and ad-hoc analyses; ensure data quality and rigorous QA; communicate insights and recommendations to technical and non-technical stakeholders.

Design, build, and maintain Kotlin APIs; optimize distributed pacing and ad delivery systems; mentor teams and ensure engineering quality; collaborate on scalable solutions.