Top Tech Jobs & Startup Jobs in Charlotte, NC

Own the marketing operations layer of Fingerprint’s revenue engine. Responsibilities include HubSpot administration, Salesforce campaign operations, ABM audience building, event and webinar lead management, nurture programs, marketing-to-Salesforce synchronization, tracking and conversion APIs, UTM governance, attribution reporting, enrichment, and scalable workflow documentation. The role is a senior individual contributor requiring hands-on B2B SaaS marketing operations experience and strong expertise in marketing automation, data quality, and revenue attribution.

Own the corporate financial model, annual budgeting, monthly reporting, board packages, SaaS metrics, procurement, revenue commissions, and strategic analysis. Partner with GTM, R&D, and G&A leaders to provide financial insights and support operational decisions involving pricing, profitability, forecasting, and growth. The role also improves FP&A systems and processes in a fully remote environment.

Lead and develop a team of 4–6 Customer Success Managers across EMEA and APAC. Coach renewals, churn prevention, expansions, forecasting, and account health management. Improve customer success processes, playbooks, onboarding, and documentation while maintaining accurate Salesforce and Planhat data. Partner with Sales, Support, CSE, and Product to drive retention and revenue outcomes. This fully remote role supports Commercial, Enterprise, and select Strategic customers.

Lead a senior engineering team building Fingerprint’s Automation Intelligence product from beta through commercial launch. Own product readiness, service reliability, detection accuracy, testing, rollout quality, API contracts, observability, team growth, and AI-native engineering practices. Partner with product, research, and customer-facing teams while establishing autonomous ownership, quality metrics, and contract-first APIs for detecting and classifying bots, AI agents, and other automation.

Research and validate novel browser-based device identification and bot-detection techniques, assess their real-world impact, build research automation tooling, monitor browser changes, and guide findings through engineering implementation. The role requires deep browser, JavaScript, web security, networking, reverse-engineering, experimentation, and large-scale data analysis expertise, plus clear communication with product and engineering teams.

Build and operate highly performant backend systems powering fraud-detection Identification APIs. Design scalable services for real-time processing, own reliability through SLIs, SLOs, observability, on-call response, and incident follow-up, and conduct capacity planning, load testing, and performance tuning. Partner on integrations, automate operational tasks, maintain production services, and mentor engineers in a globally remote environment.

Develop and deploy machine learning algorithms that improve real-time device identification and fraud detection. Own data science projects from experimentation through production, including supervised, semi-supervised, and unsupervised learning, real-time inference, training automation, exploratory analysis, and model-to-service integration. Contribute to engineering best practices, collaborate within a global remote team, and participate in a shared on-call rotation.

Drive new APAC revenue from India by prospecting, developing pipeline, managing opportunities, and closing commercial deals. Build executive relationships, conduct value-based sales presentations, negotiate contracts, support demand generation, represent the company at industry events, and meet quota. Partner with Customer Success to expand accounts after initial close while maintaining strong product and competitive-market knowledge.

Serve as the primary technical advisor for strategic enterprise customers, leading onboarding, integrations, troubleshooting, product adoption, and ongoing support. Build relationships with technical and business stakeholders, advocate for customer needs, analyze usage and health metrics, and provide actionable recommendations. Collaborate with Customer Success, Sales, Product, and Engineering teams to deliver tailored solutions and influence product direction. The role is fully remote in the US with minimal customer travel.

Serve as the primary technical advisor for strategic enterprise customers. Lead technical onboarding, integrations, troubleshooting, product adoption, customer advocacy, and relationship management. Analyze customer health and usage data, create reports, and recommend improvements. Collaborate with Customer Success, Sales, Product, and Engineering teams to address customer needs, influence product direction, and deliver successful long-term outcomes. Minimal customer-site travel is expected.