Top Tech Jobs & Startup Jobs in NYC, NY

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.

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.

Drive self-service advertiser acquisition and growth by qualifying leads, onboarding clients, supporting campaign setup and optimization, monitoring performance, and building lasting relationships. Collaborate with sales, account, and product teams, represent Life360 externally, and surface client feedback to inform the platform roadmap.

Design, build, and scale MLOps infrastructure and CI/CD/continuous training pipelines. Deploy and monitor ML models as microservices or batch jobs, manage cloud GPU/CPU resources with IaC, enable observability for model drift and latency, and collaborate with data scientists, engineers, and product teams to ensure reproducibility, compliance, and production reliability.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.