Top Tech Jobs & Startup Jobs in Charlotte, NC

Investigate fraudulent accounts, payouts, traffic sources, and partner activity across rewarded mobile apps. Analyze fraud patterns and MMP data, build risk rules and verification controls, quantify financial impact, and report results. Partner with Product, Engineering, Growth, Support, and external partners to prevent fraud while minimizing false positives. The role also establishes review standards, mentors teammates, evaluates fraud tools, handles appeals, and helps develop AI-assisted fraud workflows.

Provide personalized customer support for product, app, and offer inquiries through email, chat, and social media. Resolve and escalate issues, maintain customer records, document interactions, recommend relevant products, and identify customer insights to improve support processes. The role requires strong communication, product knowledge, problem-solving, confidentiality, and proficiency with G Suite and Zendesk.

Own strategy, roadmaps, discovery, experimentation, launch, and lifecycle management for multiple mobile utility and AI products. Lead cross-functional teams while optimizing subscriptions, advertising, data monetization, retention, and lifetime value. Use analytics, user research, competitive analysis, and AI-enabled workflows to make product decisions, collaborate with design and engineering, and deliver measurable business and user outcomes.

Affiliate referral opportunity for well-connected professionals who can introduce qualified U.S.-based companies to Mode. Referrers identify companies with at least 20 employees and three years of operating history, connect decision-makers with Mode, and earn at least $50,000 or 6% of customer sign-up revenue for successful referrals. No full-time commitment or exclusivity is required, and participants may pursue additional sales involvement, commissions, and equity opportunities.

Architect, build, and operate scalable data platforms processing billions of daily events through real-time and batch pipelines. Own production reliability, data quality, security, observability, and performance while partnering with engineering, analytics, data science, growth, and business teams. Develop frameworks and datasets, make architectural decisions, evaluate technologies, mentor engineers, and help define the platform roadmap.

Own monetization analytics across mobile apps and web properties, including subscription, advertising, in-app purchase, and partner-offer revenue. Build reliable datasets and pipelines, manage revenue metrics, analyze pricing and paywall experiments, model LTV and cohorts, evaluate ad monetization, reconcile revenue sources, and support forecasting and prioritization. Communicate insights to Monetization, Product, and business leaders to drive revenue growth and measurable impact.

Own user acquisition analytics across mobile apps and web properties, measuring channel performance, attribution, retention, LTV, ROAS, and payback. Build datasets, pipelines, dashboards, cohort analyses, and predictive models; reconcile MMP, ad network, and internal data; investigate anomalies and fraud; analyze funnels; design incrementality and A/B tests; and recommend budget allocation and channel strategies to the UA team.

Own the end-to-end product strategy, roadmap, monetization, analytics, and experimentation for a consumer VPN business. Grow subscription revenue through pricing, paywalls, trials, retention, and billing improvements while launching a free ad-supported tier. Manage hybrid monetization, app-store compliance, acquisition economics, P&L performance, and cross-functional delivery across engineering, design, data, monetization, legal, and user acquisition.

Own a portfolio of mobile apps across wellness, budgeting, and future categories. Lead discovery, validation, experimentation, monetization, pricing, subscriptions, advertising, data-sharing experiences, and product lifecycle decisions. Allocate investment across apps, lead a cross-functional squad, collaborate with design and engineering, use analytics and user research, and determine whether products should scale, enter maintenance, or sunset. Apply AI tools to accelerate research, prototyping, specifications, and analysis.

Lead hands-on development of user-facing Android and iOS applications, taking ownership from design through production release. Build maintainable, well-tested features, optimize performance, debug unfamiliar systems, and manage app-store publishing. Collaborate with product, design, backend, and users in an agile, remote environment. Use AI coding agents responsibly to accelerate implementation, testing, reviews, infrastructure work, and incident investigation.