Top Hybrid Jobs

Enterprise Sales Engineer responsible for leading technical discovery, demonstrations, solution design, and deal execution for enterprise networking customers. The role partners with Account Executives, creates sales enablement assets and technical standards, translates customer feedback into product requirements, and develops expertise across routing, switching, wireless, security, and cellular networking. Success includes accelerating enterprise revenue, improving deal cycles, and influencing Meter’s product roadmap.

Own the full sales cycle for US customers, from prospecting and qualification through product demos and closing. Build pipeline through outbound outreach and inbound leads, sell market intelligence products to energy, infrastructure, and financial-services buyers, meet quarterly targets, maintain accurate CRM data, and provide customer feedback to product and research teams.

Own and optimize HubSpot’s revenue operating system across Sales and Marketing. Build and troubleshoot lead routing, scoring, automation, attribution, integrations, dashboards, forecasting support, and funnel reporting. Create AI-enabled workflows using Claude and integration tools, maintain data quality controls, support downstream handoffs, and document system architecture. The role translates business questions into measurable revenue improvements and requires deep hands-on HubSpot expertise, analytical ability, and cross-functional collaboration.

Leads regional strategy and execution across annual planning, enrollment, attendance, family engagement, communications, board governance, charter compliance, growth initiatives, and crisis response. Partners with executive, school, network, legal, marketing, and community stakeholders to manage complex workstreams, monitor performance, ensure regulatory compliance, support school leaders, and advance regional sustainability and expansion.

Manages and optimizes fraud prevention systems by configuring rules and thresholds, monitoring transactions, analyzing fraud trends, and minimizing losses. Partners with stakeholders and vendors to implement system updates, assess controls, maintain financial-crime dashboards, and provide reporting. Ensures compliance with fraud-related regulations and card-network requirements while applying SQL, Python, and Power BI to support continuous improvement and informed decision-making.

Lead Moonlite AI’s accounting operations, including the general ledger, monthly close, financial reporting, multi-entity consolidation, revenue recognition, leases, fixed assets, debt accounting, billing, reconciliations, and controls. Support treasury, working capital, debt covenant monitoring, audits, tax compliance, and SOC 2 finance processes. Build scalable accounting infrastructure and improve financial systems and workflows.

Own and scale Nectar’s Revenue Operations function, including Salesforce administration, GTM systems, forecasting, pipeline reporting, deal desk, pricing operations, commissions, quota administration, lead routing, and quote-to-cash workflows. The role requires building reliable processes across sales, marketing, customer success, finance, and legal while improving automation, data quality, forecasting, and revenue visibility.

Hunt and close net-new enterprise and upper mid-market SaaS accounts across regulated industries. The Account Executive owns the full sales cycle, builds outbound pipeline, runs tailored demos, navigates complex buying committees, manages security and procurement reviews, forecasts using MEDDPICC, and closes six- and seven-figure deals. The role also contributes market feedback to improve positioning and go-to-market strategy.

Build and ship end-to-end AI applications across frontend, backend, APIs, data pipelines, retrieval systems, and LLM integrations. Develop reference applications and reusable components, experiment with RAG and agentic architectures, and improve AI application quality, latency, reliability, and cost. Collaborate with customers, partners, product, and engineering teams while translating real-world problems into production software and sharing technical best practices.

Lead client discovery and product strategy for digital products, AI agents, intelligent workflows, and modernized platforms. Define requirements, priorities, success measures, and business cases; guide AI application and human oversight; and drive stakeholder alignment, adoption, and measurable value realization. Collaborate with AI Engineers and Data Engineers from discovery through implementation, while developing reusable consulting approaches and industry offerings.