Top Tech Jobs & Startup Jobs in NYC, NY

Leads cross-platform data instrumentation, event taxonomy, analytics governance, attribution, and growth measurement across web and mobile platforms. Oversees Amplitude remediation, GA4 and server-side tagging architecture, Meta and advertising platform conversion signals, incrementality testing, and marketing spend optimization. Establishes SDUI tracking schemas, data observability, automated auditing, and CI/CD validation while coordinating Product, Marketing, developers, and external agency partners.

Own consumer growth strategy for high-scale weather apps, improving onboarding, registration, subscription conversion, notification opt-ins, widget adoption, experimentation velocity, and retention. The role leads cross-platform feature parity across iOS and Android and uses funnel analysis, cohort retention, and A/B testing to drive sustainable user value.

Lead consumer data instrumentation, quality, governance, and collection frameworks across web and mobile applications. Translate analytics requirements into technical specifications, partner with architects and developers on event tracking, validate data implementations, and guide data quality initiatives. Collaborate with data scientists, BI engineers, and business teams to improve accessibility, accuracy, lineage, and usability. Manage cross-functional technical projects, automated quality checks, dashboards, privacy considerations, and continuous improvements to consumer data infrastructure.

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.

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.