Top Tech Jobs & Startup Jobs

The Enterprise Account Executive is responsible for selling to Talent Acquisition leaders at large companies, building relationships, driving value, and exceeding revenue targets by navigating complex buying groups and utilizing sales processes.

Build qualified sales pipeline through cold calling, email, and social selling. Engage and qualify finance and business leaders, become an expert on the fintech platform, manage prospect activity in CRM and sales tools, collaborate with marketing and account executives, contribute to SDR process improvements, and share market intelligence. The role requires strong communication, persistence, coachability, collaboration, quota motivation, and adaptability in a fast-growing environment.

Process full-cycle bi-weekly multi-state payroll, timesheets, labor distributions, off-cycle payments, garnishments, deductions, leave, benefits, and employee records. Reconcile payroll accounts and benefit disbursements, support Service Contract Act fringe reporting, ensure compliance with GAAP, FAR, and tax regulations, and respond to payroll inquiries. The role also supports audits, reporting, and finance process improvements.

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.

Lead SETA programmatic and technical advisory support for a government AI datacenter program. Oversee contractor deliverables, performance auditing, integrated master scheduling, infrastructure retrofits, SCIF accreditation compliance, risks, stakeholder coordination, and executive reporting. Advise federal program leadership on facility conversion, high-density compute infrastructure, commissioning, supply-chain dependencies, and technical acceptance while maintaining non-inherently governmental function boundaries.

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.

Oversee museum membership sales, renewals, retention, member communications, database administration, and revenue growth. Track KPIs and trends, prepare financial reports, manage membership events, train staff, maintain accurate records, coordinate with internal teams, and represent the museum at community outreach events. The role also manages membership staff and ensures compliance with financial and operational procedures.

Develop backend infrastructure, data pipelines, web services, and fleet-management systems for autonomous industrial robots. Responsibilities include designing data stores for video and training data, supporting machine-learning compute clusters, maintaining customer-facing services, and diagnosing network issues. The role partners with machine learning, robot control, and DevOps teams and requires Python, distributed systems, databases, Linux, networking, and scalable data-processing experience.

Owns governance of the enterprise knowledge repository supporting AI agents, including content intake, metadata, taxonomy, versioning, approvals, quality audits, and lifecycle management. Defines agent KPIs, builds Power BI or equivalent dashboards, measures retrieval and operational performance, and quantifies AI business value and ROI. Partners with AI engineering, analytics, stakeholders, and content owners to improve retrieval quality, establish reporting standards, and train teams on governance workflows.

Lead the evolution of Seeq’s frontend infrastructure, including React systems, component libraries, state management, styling architecture, and reusable application patterns. Drive large-scale refactors, improve developer experience, ensure accessibility and performance, evaluate open-source tools, and establish technical standards adopted across teams. Collaborate with designers, product teams, and engineers through architecture reviews, documentation, code reviews, mentoring, and cross-team delivery.

Lead advanced threat hunting, cybersecurity mentorship, customer assessments, and cyber defense exercises. Develop realistic threat scenarios, configure security tools, analyze enterprise telemetry, tune detection systems, and consult on AI agent integration for security operations. Facilitate technical instruction for diverse audiences, support incident response and digital forensics, lead projects, mentor team members, and travel up to 25% for customer events.

Leads AI customer adoption and enablement across regional Customer Success teams. The role supports onboarding, training, workflow configuration, prompt engineering, usage monitoring, technical escalations, and adoption recovery. It partners with customers, Product, Engineering, Support, and Solutions Engineering to improve AI value realization, retention, and referenceability. The role also guides organizational change and helps customers reinvest capacity created by AI automation.