Top Tech Jobs & Startup Jobs in Charlotte, NC

The Director, Marketing Insights will build and lead Fetch’s Marketing Insights function. Responsibilities include developing audience, consumer, cultural, and market intelligence strategies; integrating behavioral data, research, and market signals; translating insights into marketing recommendations; advising executives on audience, positioning, campaigns, investments, and growth; managing research partners; and building a high-performing insights organization.

Design and scale high-throughput, low-latency backend systems powering Fetch’s advertising platform. Own architecture across ad selection, targeting, delivery, attribution, and measurement services; improve reliability, observability, performance, and resilience; lead cross-team technical initiatives and migrations; establish engineering standards; resolve complex distributed-systems problems; and mentor senior engineers across Ads, Platform, Data, ML, and Product teams.

Own the complete procure-to-pay lifecycle, including procurement, vendor sourcing, contracting, accounts payable, and travel and expense. Build Fetch’s procurement function, establish policies and approval frameworks, implement P2P systems, manage vendor risk and onboarding, negotiate contracts, drive savings, lead AP and T&E teams, and define performance metrics. Partner with Legal, Finance, Accounting, InfoSec, and business leaders on controls, contracts, and audit readiness.

Lead vision, strategy, and roadmap for Fetch's referral growth engine. Own end-to-end referral lifecycle, build incentives, experimentation, AI-driven personalization, and cross-functional initiatives to drive MAU growth and durable network effects.

The Sales Finance Manager will oversee financial strategy, planning, budgeting, and performance tracking, collaborating with department leaders and managing a finance team.

Leads client relationships, campaigns, onboarding, reporting, renewals, upsells, and revenue growth for emerging verticals. The role manages client engagements, campaign setup, performance analysis, presentations, billing, and strategic recommendations. It partners with sales and cross-functional teams to improve client outcomes, retention, and budget expansion while using AI, automation, dashboards, and CRM tools to increase efficiency and accuracy.

Leads enterprise partner acquisition and sales for new verticals, owning prospecting, complex sales cycles, proposals, revenue commitments, forecasting, and quota attainment. Builds executive relationships, develops strategic partnerships, interprets advertising and campaign data, and shapes go-to-market strategy. The role also creates AI-enabled sales processes, playbooks, and forecasts, mentors sellers, manages Salesforce pipelines, and collaborates cross-functionally to expand accounts and improve sales effectiveness.

Senior Software Engineer joining Fetch’s Data Platform team to architect and evolve scalable data pipelines, governed data access, delivery infrastructure, and partner integrations. The role owns ambiguous technical problems, leads multi-system initiatives and migrations, improves reliability and engineering efficiency, shapes technical direction, collaborates across teams, and mentors engineers. Candidates need strong backend or platform engineering experience, data infrastructure knowledge, cross-team leadership, operational judgment, and excellent communication skills.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Own complex analyses and measurement frameworks for a product or business area. Design experiments and statistical/causal models, define and monitor KPIs, quantify impact, and translate findings into product and business recommendations. Partner cross-functionally, mentor junior analysts, and use tools like Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to scale analytics and ensure reproducibility and strong governance.