Jobs at DBSync

Leads the engineering department, overseeing software development, architecture, project delivery, security, quality, hiring, mentoring, and staff development. Manages end-to-end product delivery across agile teams while collaborating with product, design, support, vendors, clients, and executive leadership. Drives scalable SaaS and cloud integration solutions using Java, AWS, multitenant architecture, microservices, Kubernetes, Docker, and DevOps practices.

Develop and execute product marketing strategies for SaaS data integration and warehousing products. Create technical messaging, campaigns, webinars, videos, demos, whitepapers, and sales enablement materials. Analyze markets, customer behavior, competitors, campaign performance, and ROI. Support product launches, demand generation, account-based marketing, customer advocacy, and cross-functional go-to-market initiatives.

Develops and executes product marketing strategies for SaaS data integration and data warehousing products. Responsibilities include creating technical messaging and marketing collateral, hosting webinars and videos, analyzing markets and competitors, supporting product launches and demand generation, defining customer segments and value propositions, enabling sales, managing campaigns, tracking performance and ROI, and supporting account-based marketing and customer advocacy.

Develop and execute product marketing strategies for SaaS data integration and data warehousing products. Create technical messaging, campaigns, webinars, videos, demos, whitepapers, and sales enablement materials. Analyze markets, customers, competitors, campaign performance, and ROI. Collaborate on go-to-market plans, product launches, demand generation, account-based marketing, customer advocacy, and audience segmentation while communicating technical concepts to business and technical professionals.

Develop and execute SaaS product marketing campaigns across digital, social, and event channels. Generate qualified leads, improve product adoption, support revenue growth, and optimize campaign ROI. Build partner relationships, identify revenue opportunities, represent DBSync at industry events, and communicate the value of its data integration platform. Collaborate with sales, product development, customer service, and partner teams to align go-to-market strategies.

Develop and execute SaaS product marketing campaigns across digital, social, and event channels. Build partner relationships, represent DBSync at industry events, communicate product value, generate qualified leads, support revenue growth, and optimize campaign ROI. Collaborate with sales, product, customer service, and partner teams to align go-to-market strategies and drive product adoption.

Develop and execute SaaS product marketing campaigns, generate qualified leads, cultivate partners, represent DBSync at industry events, support revenue growth, optimize marketing ROI, and collaborate with sales, product, and customer service teams.

Act as technical liaison for mid-to-enterprise clients: gather requirements, produce functional specs, support sales with demos/presentations, drive features to delivery, troubleshoot integrations, and train sales staff.

The Technical Sales Engineer will support clients, generate functional specifications, lead new features, and enhance customer satisfaction through technical expertise and collaboration with sales teams.

The Technical Sales Engineer will support Mid to Enterprise clients, manage functional specifications, develop demos, and provide sales support while communicating between customers and engineering teams.

Customer-facing engineering role that designs, builds, tests and deploys SaaS integrations and workflow automations. Conduct discovery workshops, create technical solutions, troubleshoot integrations, and feed deployment insights back to product teams to drive adoption.

Serve as a technical bridge between product teams and enterprise clients: run discovery workshops, design and build integrations and automations, deploy and troubleshoot SaaS/AI solutions, validate data with SQL/BI tools, and feed deployment insights back to product teams to improve roadmap and adoption.