Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and operate end-to-end, consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place vertical. Use AI-native and agentic workflows with LLMs, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and establish AI engineering practices adopted across the organization. Collaborate with product and design while ensuring performance, reliability, accessibility, and member-focused outcomes.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

Leads advanced analytics across the organization, owning MAU forecasting and growth models, experimentation standards, and causal inference methods. Establishes analytical best practices, reviews high-stakes analyses, partners with data and product teams, and scales recurring work through AI tooling. Mentors data professionals and translates complex statistical findings into actionable leadership recommendations.

Leads strategic analyses, market expansion decisions, acquisition and investment evaluations, financial modeling, valuation, and diligence for Life360’s corporate development team. Builds and deploys AI agents to identify acquisition targets and automate analysis. Partners with finance, legal, product, senior executives, and cross-functional stakeholders to develop recommendations and support live deals.

Lead strategic business development for Life360 by identifying high-value technology and consumer partners, opening executive relationships, negotiating distribution partnerships, and driving launches and post-launch growth. The role owns partner strategy, coordinates cross-functional teams, and targets three signed and two launched partnerships in the first year. Candidates should have approximately 15 years of technology business development or strategic partnerships experience, executive relationships, complex deal experience, and AI-enabled workflow expertise.

Leads a team of five executive assistants, supports 2–3 C-suite executives, and establishes standards for executive administration. Responsibilities include coaching, hiring, process and playbook development, AI adoption, coverage planning, travel and event coordination, vendor management, executive scheduling, meeting preparation, stakeholder communication, expense management, and confidential information handling.

Lead engineering teams responsible for Life360’s critical platforms, including location and messaging, cloud infrastructure, identity, and partner ecosystems. Set technical direction, modernize legacy systems, improve reliability and scalability, establish engineering metrics, and develop engineering managers and technical leaders. Partner with Product, Security, Data, and Engineering leadership to align technical investments with business outcomes while supporting secure, high-performing systems serving millions of users.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

The Director of AI Platforms will lead the AI Platforms team, define its roadmap, and build shared infrastructure for model access, agent runtimes, MCP integrations, evaluation, identity, inference, and cost controls. The role drives adoption of agentic engineering practices, extends AI platforms to consumer-facing products, partners with Security, Privacy, and Legal on safeguards, and measures outcomes such as quality, cost, adoption, and delivery speed. The leader will hire and develop engineers while providing hands-on technical direction.

Build and own Android growth and monetization experiments across subscriptions, pricing, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, manage staged rollouts, monitor performance, and act on results. Use AI tools throughout development, contribute to Android architecture and engineering practices, participate in on-call support, mentor engineers, and help scale reliable mobile experiences to tens of millions of users.