Top Tech Jobs & Startup Jobs

Own and grow ComboCurve’s banking vertical by managing existing financial institution accounts, expanding adoption, renewing contracts, and acquiring reserve-based lending customers. Lead enterprise sales cycles, conduct discovery, coordinate technical demonstrations and customer success, navigate procurement and compliance reviews, maintain CRM records, forecast accurately, and represent the company in the energy finance community.

Drive new business revenue by meeting sales quotas, prospecting outbound and inbound leads, building a qualified customer pipeline, conducting discovery calls, and coordinating targeted demonstrations with technical sales. Maintain accurate CRM documentation, meet outreach metrics, forecast pipeline activity, and communicate software value to energy-sector prospects. The role requires strong coachability, curiosity, work ethic, sales intelligence, and a proven record of achieving or exceeding quotas.

Lead ComboCurve’s marketing strategy across brand, content, demand generation, product marketing, and events. Build campaigns, manage HubSpot and Salesforce integration, analyze funnel and revenue performance, develop lead scoring and nurture programs, and collaborate with sales, product, and customer success. The role combines strategic leadership with hands-on writing, launching, testing, reporting, positioning, and go-to-market execution for a B2B SaaS company.

Own software product development by planning projects, defining user stories, researching client workflows, communicating with stakeholders, and improving customer experience. Collaborate with sales, customer success, marketing, and development teams to understand customer needs, assess competitors, and position product offerings. Requires ComboCurve expertise, Agile Scrum experience, Python knowledge, strong communication, interpersonal skills, adaptability, and interest in innovation within the oil and gas industry.

Build and maintain Python backend services and APIs for an economics engine: design scalable time-series processing, optimize MongoDB schemas and queries, deploy containerized services on GCP, ensure testability and code quality, use AI tooling to accelerate delivery, and own features end-to-end including monitoring and documentation.