Jobs at Arlo Technologies

Supports product management for strategic partner integrations spanning SaaS, cloud services, APIs, connected devices, and hardware launches. Translates partner needs into requirements, coordinates roadmaps, releases, certifications, integrations, and launch readiness, and manages communications and escalations across internal teams and external partners. The role also supports API and developer portals, partner enablement, hardware customization, and cross-functional execution across engineering, QA, manufacturing, supply chain, compliance, and marketing.

Own partner technology programs from agreement through launch and stabilization. Coordinate engineering, product, QA, security, legal, marketing, support, and external partners; manage scope, schedules, risks, dependencies, technical integrations, certification, launch readiness, and operational handoff. Establish repeatable processes, maintain program reporting, lead executive communications, and ensure API and cloud integration programs meet reliability and commercial goals.

Lead end-to-end qualitative and quantitative UX research, including interviews, surveys, usability testing, participant recruitment, data analysis, and synthesis. Collaborate with designers, product managers, and cross-functional teams to translate insights into product improvements. Develop research reports, present findings to stakeholders and executives, and support research operations. The role focuses on improving mobile app engagement, onboarding, customer outcomes, and business metrics.

Build and improve an autonomous AI coding agent that understands tasks, generates and tests code, self-repairs, reviews changes, and integrates with developer tools. Design codebase retrieval and knowledge systems, build scalable Python services and APIs, leverage LLMs, develop agent evaluations, and identify automation opportunities with platform and product teams. The role requires strong software engineering, cloud infrastructure, CI/CD, testing, and end-to-end ownership.

Own applied AI models powering Arlo’s smart vision products, including computer vision, vision-language, retrieval, and agent systems. Responsibilities span model training, fine-tuning, evaluation, data curation, embeddings, vector search, inference optimization, production deployment, and telemetry. The role requires hands-on technical leadership, cross-functional collaboration, mentoring, and end-to-end ownership of scalable AI features across edge and cloud environments.

Leads the architecture and production engineering of Arlo’s AI-native data platform. Builds governed data products, semantic and metric layers, catalogs, metadata, lineage, access controls, ML capabilities, LLM interfaces, and safe cross-store query patterns. Ships production code, tests, CI, and operational systems while driving adoption across Data Engineering, Analytics, Cloud Infrastructure, and Enterprise Applications. Requires deep experience with lakehouse architecture, heterogeneous data integration, AWS, enterprise data modeling, AI/LLM systems, and platform ownership.

Lead growth-focused product insights and experimentation for subscriptions: analyze customer journeys, define activation and health signals, design and run experiments, translate results into product recommendations, build dashboards and instrumentation, and partner cross-functionally to optimize conversion, retention, and revenue. Fixed-term (1 year).

Design, develop, and maintain backend services and APIs while ensuring security, scalability, and performance of applications. Collaborate with teams to achieve technology objectives and contribute to architectural decisions.

Own partner-facing software release planning, change management, readiness coordination, incident escalation, and production operations. Coordinate Product, Engineering, QA, Security, Operations, and external partners across API, device, integration, and platform releases. Build dashboards, workflows, documentation systems, and AI-assisted tools to improve release visibility, communications, reliability, and operational efficiency.

Supports North American sales operations for major retail accounts, including sales forecasting, inventory monitoring, account and SKU reporting, contribution-margin analysis, pricing oversight, promotion management, and CPFR engagement. Partners with Sales, Finance, Supply Chain, Marketing, and Operations teams to identify risks, improve processes, execute promotions, and deliver recommendations that improve account performance and customer service.

Manage sales planning and operations for North American retail accounts, including sales and inventory analysis, forecasting, CPFR, pricing, promotions, account-level reporting, contribution margin analysis, and process improvement. Partner with Sales, Finance, Supply Chain, Marketing, and Operations teams to identify risks, optimize performance, and support retail customers. The role requires advanced Excel skills, retail planning experience, familiarity with major retailer planning systems, and strong analytical and communication abilities.