Top Remote Jobs in Hampton, VA

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

The role involves solving complex problems in Splunk, onboarding logs, mentoring support teams, and managing user interactions.

The Engagement Manager will lead client projects, develop marketing strategies, manage teams, and optimize deliverables for client success.

ZwitterCo seeks a Senior Sales Engineer to drive sales of innovative membrane solutions, establish client relationships, and work with engineering teams to implement market strategies in water and wastewater applications.

The Sales Director will sell to Fortune 1000 companies, manage sales processes, negotiate terms, document opportunities in CRM, and work cross-functionally to achieve sales goals.

The Senior Manager will drive new business in market research, forging client relationships and promoting insight solutions through consultative selling and collaboration with internal teams.

Own a defined enterprise territory to drive revenue by selling SaaS solutions into CFO/CIO organizations. Build pipeline, lead complex consultative deals, negotiate contracts, forecast in Salesforce, and coordinate internal resources to deliver proposals and demos.

As a Data Engineer, you will build and maintain data pipelines, convert data into metrics, and operate the platform on AWS. Responsibilities include writing production code, processing data from APIs, and enhancing the orchestration layer using Dagster, while ensuring compliance in a HIPAA-regulated environment.

As a Tech Specialist, you will bridge business ideas with digital tools, use AI for automation, troubleshoot issues, and assist the CTO while learning the tech department's operations.

Own product strategy and roadmap for an agentic AI platform that enables practitioners and AI agents to run defensible tax analysis on trusted data. Define compliance-grade requirements, agent access surface, and data-product contracts. Manage external data sourcing, measure success by practitioner outcomes, and collaborate closely with AI and data engineering leaders to deliver production results.