Top Tech Jobs & Startup Jobs in Boston, MA

Lead Android platform architecture and AOSP-based ROM development for an AI-native phone. Define OS-level AI integration, system services, privileged APIs, permissions, security architecture, and platform extensions. Partner with hardware vendors and ODMs on device integration, evaluate technical trade-offs, and establish Android platform engineering standards. The role requires deep Android internals expertise, ROM development experience, and strong technical leadership.

Integrate AOSP or custom Android ROMs with smartphone hardware, including BSPs, vendor HALs, firmware, drivers, sensors, cameras, audio, modems, Wi-Fi, and Bluetooth. Support device bring-up and boot processes, troubleshoot hardware and firmware compatibility, collaborate with ODMs, OEMs, and chipset vendors, and optimize power consumption and hardware performance.

Evaluate, deploy, and optimize machine learning models for on-device execution on Android phones. Benchmark models on mobile hardware, optimize latency, memory, and power consumption, and apply quantization, compression, and distillation. Integrate models with Android applications, system services, and AI agent runtimes. Build hybrid local/cloud model routing and determine which workflows should run locally versus through cloud inference.

Develop and modify Android Framework components, system services, privileged APIs, and secure AI-agent integrations. The role focuses on application lifecycle, permissions, background execution, first-party app integration, OS stability, performance, and collaboration with agent engineers. Candidates need strong Android development experience, Java or Kotlin proficiency, AOSP knowledge, and familiarity with Binder IPC, permissions, and complex Android debugging. Custom ROM, C++, Linux, Android security, power management, and system-level shipping experience are preferred.

Lead the product direction and user experience for an AI-native phone. Define high-value workflows, proactive assistance, and cross-application AI interactions; translate concepts into engineering requirements; prioritize prototype and launch capabilities; collaborate with Android and AI teams; and conduct user research to validate intuitive interaction patterns.

Plan, manage, and optimize paid user acquisition campaigns across multiple advertising platforms. Own budgets, analyze CAC, ROAS, LTV, cohorts, attribution, and payback periods. Run experiments across audiences, bids, landing pages, and creatives; collaborate with creative teams; and scale profitable campaigns across markets using data-driven acquisition strategies.

Lead product strategy and execution for an AI-native mobile communication application. Define requirements, user journeys, priorities, acceptance criteria, and roadmap; collaborate with design and engineering through launch and iteration; analyze usage, feedback, and performance metrics; and research users, competitors, and market trends to identify opportunities.

Leads strategy, roadmap, prioritization, technical scope, launch planning, and performance optimization for an AI-native mobile communication application. Partners with engineering, design, and business stakeholders on architecture, scalability, reliability, user experience, and measurable product outcomes. Requires deep technical fluency and experience launching and scaling complex technology products.

Define product roadmaps, requirements, and success metrics; translate user needs into technical product features; evaluate architecture and engineering trade-offs; lead products from planning through launch; analyze user behavior and experiments; and guide priorities using market research, feedback, and performance data.

Lead high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; plan and execute projects; research markets and opportunities; identify operational problems and implement practical solutions to deliver measurable business outcomes.