Jobs at The Weather Company

Analyze subscription user behavior and product performance to support growth strategy. Maintain analytics infrastructure, event taxonomies, data dictionaries, and tracking standards; validate instrumentation with engineering; develop measurement plans; and conduct behavioral, engagement, retention, and adoption analyses. Support A/B and multivariate experiments, integrate quantitative and qualitative research, and translate findings into actionable recommendations for technical and non-technical stakeholders.

The Senior Product Analyst analyzes behavioral data for consumer mobile apps, validates analytics instrumentation, maintains event taxonomies, develops measurement plans, and supports experimentation. The role partners with product, engineering, data science, and UX research to deliver insights on engagement, retention, adoption, and user experience. It also promotes self-service analytics, data quality, and proactive, evidence-based product decisions.

Leads and mentors an AI software engineering team while serving as a player-coach. Oversees cloud-native AI development across requirements, design, implementation, testing, and AWS deployment. Drives enterprise AI adoption, integrates emerging models, manages resources and delivery, promotes engineering quality and operational excellence, and communicates project status, risks, model performance, and cloud costs to stakeholders. Contributes to technology strategy, roadmaps, capacity planning, automation, and process improvements.

Build and operate high-scale cloud services that ingest, transform, store, and distribute geospatial and weather data. Modernize legacy systems, integrate AI and LLM workflows, improve platform reliability, optimize costs, maintain security compliance, and support multiple concurrent initiatives from design through production. Collaborate with product, operations, science, technology teams, and enterprise clients in a mission-critical 24x7 environment.

Leads and mentors an AI software engineering team while remaining hands-on in cloud-native development. Oversees requirements, architecture, implementation, testing, deployment, AWS infrastructure, resource allocation, and operational excellence. Drives enterprise AI adoption by integrating technologies such as Claude, Gemini, and OpenAI, defining technology roadmaps, optimizing cloud spending, improving processes, and communicating project status and risks to technical and business stakeholders.

Supports consumer weather science projects involving severe weather, snow, pollen, wildfire, and outdoor activities. Evaluates Storm Radar latency and global coverage, analyzes radar and forecast data, builds AI-assisted prototypes and web tools, and translates meteorological findings into product recommendations. Works with meteorologists, engineers, and product managers while contributing code and science-grounded analysis throughout a 12-month hybrid internship.

Build and run a new consumer Product Marketing function. Own go-to-market strategy and end-to-end launches for web and mobile: audience definition, positioning, channel plans, execution, measurement, and iteration. Align cross-functional partners (Product, Lifecycle/CRM, Analytics, Comms, Brand, Performance), establish launch processes, calendars, templates and playbooks, and drive sustained engagement and adoption through data-informed storytelling and integrated campaigns.

Build and maintain full-stack aviation applications: design REST APIs, create performant React visualizations, work with Go/Node/.NET backends, manage MongoDB and SQL Server data, deploy and monitor services on AWS, participate in on-call rotation, and collaborate in an agile team to ensure reliability and quality.

Own lifecycle marketing strategy and hands-on execution across onboarding, activation, engagement, retention, and winback. Build and launch segmented, personalized email, push, and in-app campaigns; manage templates, triggers, QA, deployment, reporting, and testing. Partner with Product, Data, Design, and Product Marketing to improve adoption and engagement. Analyze user behavior, develop re-engagement journeys, write lifecycle copy, maintain program standards, and use AI tools to improve campaign production and reporting.

Own lifecycle marketing strategy and hands-on execution across onboarding, activation, engagement, retention, and winback. Build and launch personalized email, push, and in-app campaigns using segmentation, triggers, automation, and testing. Manage templates, QA, deployment, reporting, and lifecycle documentation while partnering with Product, Design, Data, and Product Marketing. Analyze user behavior, optimize journeys, write messaging, and use AI tools to improve campaign production and performance.

Lead the design, build, and sustainment of cloud-based meteorological tools and automated workflows. Evaluate and integrate AI/LLM solutions, partner with operational meteorologists, manage multiple concurrent projects, modernize legacy systems, and ensure reliable 24x7 operational delivery.

Provide strategic legal counsel to Enterprise Data and Media business units, primarily drafting and negotiating complex data and software licensing agreements, supporting data commercialization, advising on data privacy and governance, creating contract templates and playbooks, managing vendor/customer/partnership agreements, and overseeing outside counsel and ad hoc legal matters for product and engineering teams.

Design and operate large-scale data platforms in the cloud, develop data pipelines, support analytics and machine learning, and mentor junior engineers.

Build and lead a new consumer Product Marketing function. Define go-to-market strategies and launch plans for web and mobile products, align cross-functional partners, drive engagement and retention, measure launch impact, and create scalable operating processes, playbooks, and calendars to support product launches from strategy through post-launch iteration.

Lead subscription growth and marketing for web and app products. Define go-to-market strategy, optimize acquisition and retention via A/B testing, partner with Product and Engineering to launch offers, improve onboarding and conversion funnels, and use data to drive pricing and experimentation.

Lead launch and scaling of an affiliate program, manage Premium Perks partner program and evolve it into an Offer Wall, and identify/pilot non-digital subscription distribution channels. Own partner relationships, creative assets, tracking/integrations, KPI measurement, and cross-functional requirements while operating independently to drive subscription acquisition and retention.

Serve as the analytics bridge between product, engineering, data science, and UX to ensure data quality, define measurement plans, conduct behavioral analyses, and support A/B experimentation for mobile and web products. Improve analytics instrumentation, maintain event taxonomy and documentation, enable self-service analytics, and surface insights to drive product decisions.