Top Tech Jobs & Startup Jobs

Manage a portfolio of complex Growth and select Enterprise B2B SaaS accounts, owning retention and expansion for a $1M+ ARR book. Lead executive business reviews and renewal negotiations, build cross-functional relationships, develop team playbooks, mentor CSMs, partner with RevOps and Finance on contract and pricing, and advocate customer needs in product roadmap discussions.

Own and administer HubSpot and the GTM tech stack (Fathom, Outreach, LinkedIn Sales Navigator), manage integrations and data hygiene, design workflows and reporting, support stakeholders across Sales/Marketing/CS, resolve integration and automation issues, document standards, train users, and evaluate new GTM tools to ensure a connected, reliable revenue ecosystem.

The Receptionist will greet clients and visitors, manage registration and scheduling, operate a switchboard, and ensure supply availability.

ikon Technologies seeks motivated professionals across various disciplines such as Sales, Finance, Software Engineering, and Marketing for dynamic careers in the automotive tech industry.

The Sales Development Representative role involves researching accounts, generating leads, and engaging potential clients to drive revenue in the automotive SaaS sector.

First SDR to convert inbound interest into qualified opportunities: nurture leads across channels, conduct discovery, qualify and book demos, follow up persistently (email/phone/LinkedIn), and develop product knowledge to handle objections.

The Senior Manager, Accounting will lead financial management, ensure compliance with US GAAP, oversee audits, and manage accounting staff, focusing on high-quality reporting and documentation.

Drive long-cycle, relationship-led sales to specify Falcon into industrial and infrastructure projects. Own vertical GTM, named-account development, design-win pipeline, packaged solution kits, and feedback to product and engineering. Use AI account-intelligence to build account maps and convert spec-ins into revenue.

Lead the data science function for a freight pricing venture: develop and deploy ML models for dynamic pricing, demand forecasting, elasticity, and load acceptance; design pricing experiments; partner with engineering to productionize and monitor models; validate business assumptions and set model governance; translate insights to product, commercial, and executive stakeholders.

Develop, test, and maintain mainframe applications: write and debug COBOL programs, create and maintain JCL for batch jobs, design and manage DB2 databases, implement CICS transaction programs, and apply Agile and DevOps practices for mainframe delivery.