Top Tech Jobs & Startup Jobs in Boston, MA

Build and operate high-throughput experimentation and recommendation infrastructure. Design APIs and services, use agentic AI workflows (LLMs) for development, ensure performance and reliability, participate in on-call, mentor teammates, and codify AI-native engineering practices.

Lead strategy and execution to grow Life360 subscriptions by defining membership architecture, pricing and packaging, partner monetization, freemium feature roadmaps, experimentation, and AI-native product practices. Drive revenue-per-member, partner integrations, and cross-functional delivery while advocating subscriber value and satisfaction.

Lead design and strategy for Life360 Ads B2B marketing materials: pitch decks, sales enablement, digital and social ads (static and motion), event assets, websites, case studies, and brand/asset systems. Collaborate with sales, marketing, and product, iterate quickly, and maintain consistent design systems to drive engagement and conversion.

Lead product and strategy operations for a large engineering department: own OKR/QBR cycles, roadmaps, weekly execution alignment, centralize artifacts, transform workflows to AI-native, coordinate cross-functional intake, flag risks, and drive high-priority cross-functional projects from inception to launch.

Individual contributor responsible for meeting sales quotas across a territory by prospecting brands and agencies, building tailored native and content marketing programs, managing full sales cycles and pipelines, responding to RFPs, and representing Life360 at industry events.

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.

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.

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.

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.