Top Tech Jobs & Startup Jobs in Charleston, SC

Manage software subscription renewals and related expansions by reviewing customer usage, contract terms, and subscription history. Engage customers proactively, explain renewal and pricing options, coordinate quotes and ordering documents, and ensure timely, accurate execution. Collaborate with Sales, Customer Success, and Accounting while handling non-routine situations and supporting customer retention, satisfaction, and subscription profitability.

Manage daily accounting operations for US and UK entities, including bank and balance sheet reconciliations, month-end close, billing, accounts payable, intercompany tracking, deferred revenue schedules, and audit-ready documentation. The role supports multi-currency transactions, financial reporting, process improvement, and the transition of recurring close responsibilities from external advisors.

Owns general ledger maintenance, journal entries, reconciliations, procure-to-pay, payroll administration, audit support, and financial controls. The role improves accounting systems and processes, ensures GAAP and regulatory compliance, resolves cross-functional accounting issues, and supports accurate financial reporting in a fast-paced environment.

Owns product strategy and roadmap for Honeycomb’s AI-powered observability experiences, including Canvas, agentic investigations, Skills, and the MCP server. The role combines customer research, AI/ML trend analysis, cross-functional product leadership, feature delivery, and external thought leadership. The manager will guide AI adoption across the product portfolio, evaluate technical approaches, and translate emerging customer and engineering needs into impactful product investments.

Manage inbound lead funnel and sales pipeline, conduct discovery calls, provide tailored demos, develop business cases, and mentor new team members in a fast-growing software company.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Own cross-business priorities, projects, deadlines, follow-through, stakeholder communications, executive correspondence, project-management systems, dashboards, calendar management, meeting preparation, and domestic and international travel logistics. The role also supports office operations, evaluates tools, creates processes, and serves as a proactive liaison for investors, executives, government officials, and external partners.

Provides remote administrative and executive support to managers, executives, and teams. Responsibilities include tracking projects and deadlines, drafting communications, preparing reports and presentations, coordinating meetings, managing calendars, organizing files and databases, coordinating vendors, supporting travel and events, tracking expenses, and handling confidential information. Requires strong organization, communication, discretion, and proficiency with Google Workspace and Microsoft Office.

Lead and mentor a small software engineering team while setting technical direction, facilitating Agile processes, writing maintainable code, and owning software delivery from requirements through maintenance. Architect reliable databases and secure, scalable AWS cloud infrastructure using infrastructure as code. Ensure healthcare data compliance with HIPAA and HITRUST and guide system architecture, API design, security, scalability, and CI/CD practices.

Design and architect secure, scalable healthcare data systems; create core data models using TUVA, OMOP, and FHIR; build production data pipelines and EMR integrations; establish data quality and governance; optimize performance; deploy cloud infrastructure; and ensure HIPAA and HITRUST compliance. The role requires expert SQL and Python or Scala skills, advanced data warehouse and big-data experience, and at least eight years in data science or data engineering.

Own the full enterprise sales cycle from prospecting through close and account expansion. Build relationships with executive decision-makers, conduct discovery and demos, design solutions, negotiate contracts, and exceed revenue targets. Develop high-value pipelines through outbound prospecting and consultative selling, while partnering with Customer Success, Product, and Integration Solutions. Help refine sales playbooks and go-to-market processes in a fast-growing environment.

Own the full enterprise sales cycle for Firework’s SaaS and video commerce platform, from outbound prospecting through negotiation and close. Build account plans, generate demand, engage executive stakeholders, design solutions, manage complex deals, and achieve revenue targets. Collaborate with Customer Success, Product, and Integration Solutions, provide product feedback, track pipeline and sales KPIs, and attend client meetings and industry events.

Lead enterprise data engineering efforts supporting defense missions. Responsibilities include prioritizing technical tasks, mentoring engineers, conducting code reviews, translating government requirements into scalable data architectures, developing Databricks ETL/ELT pipelines with Python, PySpark, and SQL, troubleshooting pipeline performance and reliability, and documenting systems. The role collaborates with government stakeholders, product owners, data scientists, analysts, and technical teams to deliver secure, high-throughput data platforms and actionable insights.

Design, develop, deploy, and optimize AI and machine learning solutions for an employee leave management platform. Responsibilities include building scalable models, applying NLP and predictive modeling, implementing MLOps practices, developing secure data pipelines, collaborating with product and engineering teams, and ensuring ethical AI through fairness, transparency, and bias detection.