Top Remote Tech Jobs

Lead strategic sales efforts for $500K+ enterprise deals, engaging with C-suite executives and shaping AI adoption in revenue organizations.

The Account Executive will manage the full sales cycle for SMB to enterprise accounts, conducting demos, coordinating compliance processes, and maintaining CRM discipline.

The Senior Sales Development Representative will execute high-volume outbound efforts to build pipeline in enterprise accounts and engage C-suite stakeholders, ensuring thorough CRM management and achieving targets.

The Associate Director of Business Development will manage supplier partnerships, oversee onboarding, negotiate contracts, and lead strategic initiatives to enhance offering competitiveness at Minoan.

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Design, build, and operate distributed, high-volume transactional backend services in Go. Own scope, architecture, correctness guarantees, production behavior, observability, and automated verification. Collaborate across product, infra, and QA while using agent-driven engineering practices.

Design and build Microsoft Fabric and Synapse analytics solutions (lakehouses, warehouses, pipelines, notebooks, semantic models). Develop Power BI reports and semantic models with DAX, performance tuning, and RLS. Integrate Dynamics 365/Dataverse data, author SQL/Python/PySpark transformations, manage source control and deployments, run client workshops, and build AI-enabled experiences.

Drive adoption, utilization, and revenue for the HistoSonics Edison Platform within an assigned territory by developing and launching clinical programs, leading post-sale installations and clinical/technical demonstrations, managing stakeholder relationships and KOLs, tracking KPIs, and collaborating cross-functionally to support customer training, reimbursement, and product feedback.

The Product Marketing Manager will execute go-to-market strategies, write product materials, assist in product development, and research user needs. They will become product experts and understand market trends.

Lead design and hands-on implementation of scalable data platforms on AWS and Snowflake. Build pipelines, storage layers, and data models; define ingestion, transformation, and quality standards; optimize performance and cost; ensure security and compliance; mentor engineers and partner cross-functionally to deliver production-ready, AI-ready data solutions.