Top Tech Jobs & Startup Jobs in Charlotte, NC

As an Enterprise Sales Director, you will lead and scale the enterprise segment, focusing on high-value deals with Fortune 500 clients. Responsibilities include driving revenue, managing a strategic book of business, leading negotiations, and collaborating cross-functionally to ensure enterprise adoption of products.

Lead the development of Android products, design SDKs, enhance security measures, collaborate with cross-functional teams, and innovate in fraud prevention.

The Senior Technical Product Manager will lead the strategy and execution of Fingerprint's Bot Detection product, covering detection capabilities, customer experience, and commercialization efforts.

Serve as trusted advisor to onboard and drive adoption for a portfolio of Mid‑Market/Enterprise SaaS customers. Manage renewals, monitor customer health, resolve issues with product and support teams, provide best‑practice recommendations, run regular meetings, and mitigate churn. Fully remote (US) role; travel may be required.

Own the end-to-end data lifecycle for a device intelligence platform: define data collection instrumentation, manage ingestion/storage/processing, and drive analytics, API, and dashboard experiences. Prioritize roadmap across JS Agent, Server APIs, Dashboard, and MCP; run planning, write PRDs, manage migrations, and coordinate launches and customer enablement.

Execute high-volume outbound prospecting across email, phone, video and LinkedIn to generate pipeline for fraud, identity, payments, and risk personas. Qualify opportunities using PACTA, manage ABM coverage, enroll contacts in HubSpot sequences, track engagement, maintain CRM hygiene, and hand off qualified meetings to Account Executives. Hit weekly activity targets and participate in team reviews to optimize outreach.

Lead a 4-6 engineer team owning the internal data warehouse and end-to-end ML Ops lifecycle: experimentation, training pipelines, deployment, and monitoring. Provide technical leadership, collaborate with cross-functional partners, define platform standards, and coach engineers to deliver reliable, scalable data and ML infrastructure that powers product analytics and identification features.

Lead and grow a multidisciplinary ML team focused on identification accuracy. Own roadmap, drive model training, evaluation, and deployment at scale, and partner cross-functionally to translate customer needs into technical priorities and measurable model performance outcomes.