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Drive revenue by selling Life360 Ads and Nativo native/content solutions to brands and agencies. Manage full sales cycle, build pipeline, craft strategic campaigns, respond to RFPs, meet quotas, and represent the company at client and industry events.

Lead architecture and implementation of high-throughput, low-latency AdServer and Exchange services. Design scalable, resilient distributed systems, integrate demand/supply partners, improve RTB/auction capabilities, advance observability and automation (including AI-driven testing/IaC), and mentor engineers to increase platform reliability and revenue growth.

Design, build, and maintain scalable distributed data pipelines and a secure data lakehouse for streaming and batch processing to support real-time analytics, ML, and experimentation. Automate, test, and harden workflows, architect logical and physical data models, build ML model features, and collaborate with product, analytics, and data science teams to turn data into value.

Design, build, and maintain scalable dbt transformation pipelines and dimensional data models on Databricks. Partner with data engineering and stakeholders to deliver trusted silver/gold datasets, implement data quality tests and monitoring, enable self-service semantic layers, and enhance LLM-driven tooling to accelerate analytics and automation.

Embed with product, engineering, marketing, and finance teams to own analytical narratives, establish causality via experimentation and causal inference, define measurement strategies, drive actionable insights, shape AI-native analytics tooling, and mentor senior analysts. Focus is on decisions and measurable impact rather than dashboards.

Partner with product, engineering, marketing, and finance to drive decisions using causal inference, experimentation, and analytics. Own measurement strategy, present actionable insights, shape AI-native analytics tooling, and ensure analyses translate into product and business outcomes.

Partner with product, engineering, marketing, and finance to define high-impact analytical questions, establish causal measurement (A/B tests, causal inference), set metric strategies, drive decisions from analysis, and shape an AI-native analytics stack while mentoring senior data staff.

Manage and grow a portfolio of mobile, CTV and web publisher partnerships; drive adoption of Life360 Ads products; monitor performance metrics (ad requests, bid/win rates, DSP patterns, EID, ads.txt), identify yield optimizations, run publisher reviews and trainings, collaborate cross-functionally to resolve integrations, and deliver measurable revenue growth. Quarterly travel for in-person partnership reviews and occasional conferences required.

Own analysis and algorithmic solutions for ads delivery; train, deploy, and scale ML/optimization models into production; build logging, monitoring, and lineage; improve data pipelines; mentor data scientists; use agentic AI tools daily; collaborate with engineers to integrate models into ads systems and handle on-call production incidents.

Lead product strategy to ensure Life360's platform is fast, reliable, and observable at scale. Define platform KPIs, embed performance and reliability into product requirements, evolve observability and telemetry, surface systemic risks, and align engineering and leadership to prepare infrastructure for massive user growth.