Top Tech Jobs & Startup Jobs in Seattle, WA

Design, implement, and own a reusable on-device ML inference platform for resource-constrained devices. Integrate inference into RTOS firmware, develop drivers and DMA paths, debug on real hardware, train and optimize models for microcontroller-class hardware, and ship features to production while raising team expertise and using AI-assisted tooling.

Lead go-to-market strategy and execution for Life360 Ads, translating ad product capabilities into verticalized, outcomes-oriented solutions. Influence product roadmap, build sales enablement (training, narratives, collateral), coordinate cross-functional launches, and drive adoption to generate measurable advertiser outcomes and larger deals.

Own consolidated monthly forecasting, long-range planning, headcount and payroll reporting, and executive-level analyses. Act as Pigment subject-matter expert, partner with People & Talent, support investor relations and cash-flow forecasting, and drive automation and AI-enabled FP&A improvements across the company.

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.

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.