Top Remote Jobs in Tampa, FL

Leads the InCommand Operations team supporting data center customers and sites. Responsibilities include managing and developing engineers, maintaining operating standards, leading customer and site implementations, building and validating facility data, using AI and automation for data workflows, supporting platform users, producing reports, coordinating with development teams, documenting defects, and testing releases. Requires data center experience, people management, project leadership, SCADA and construction-document knowledge, strong data skills, and customer communication abilities.

Manage partner brands through ServiceTitan onboarding, implementation, adoption, optimization, and long-term success. Lead project timelines and go-live execution, translate legacy workflows into scalable processes, train and coach operational teams, resolve escalations, review performance scorecards, and drive continuous improvement across multiple residential service brands.

Administer and secure Windows, Microsoft 365, cloud, identity, network, virtualization, backup, and data center infrastructure. Support tenant consolidation, acquisitions, patching, monitoring, disaster recovery, endpoint management, second-level user support, and engineering applications. Automate provisioning and reporting, maintain documentation and runbooks, support compliance enclaves, and provide backup coverage for identity and network operations. Occasional travel, maintenance windows, on-call work, and physical data center activities are required.

Leads Japan insurance go-to-market strategy, executive advisory, AI-led transformation, and commercial opportunity development. Advises senior insurance executives on operating models, modernization, AI adoption, and technology strategy across P&C and L&A insurance. Localizes NTT DATA’s global insurance capabilities for Japan while connecting Japanese market needs with global product, engineering, sales, and delivery teams. Requires senior leadership, insurance expertise, strategic product marketing, sales leadership, and professional fluency in Japanese and English.

Develop and optimize SQL query processing for a distributed database operating across petabytes of data and hundreds of nodes. Responsibilities include parsing, validation, optimization, execution, performance analysis, debugging, code reviews, design discussions, testing, and collaboration with engineering and customer operations teams. The role also supports process improvement, knowledge sharing, and mentoring fellow engineers.

Manage strategic B2B SaaS customer accounts as a trusted advisor and primary point of contact. Lead onboarding, adoption, enablement, health monitoring, escalations, and cross-functional issue resolution while driving retention, expansion, and measurable customer outcomes. The role requires strong networking and cybersecurity knowledge, familiarity with operational technology environments, executive communication skills, and the ability to use AI platforms to automate customer success workflows and generate insights.

Own product marketing for Qdrant’s developer-facing AI infrastructure, including positioning across self-serve, cloud upgrades, and enterprise sales. Develop buyer scenarios, competitive programs, sales enablement, win-loss research, AI-powered workflows, and launch messaging. Partner with Product, DevRel, Growth, Sales, and Partnerships to support activation, upgrades, enterprise deals, and customer insight programs.

Manages assigned B2B SaaS clients as a trusted advisor, creating Success Plans, conducting Business Reviews, supporting adoption and program growth, identifying expansion opportunities, coordinating with internal teams, and maintaining accurate Salesforce records. The role requires strong communication, organization, adaptability, and the ability to explain software functionality clearly while managing multiple client priorities.

The Senior QA Engineer will design and execute testing strategies for reporting systems, data extracts, and business intelligence outputs. Responsibilities include writing and reviewing complex SQL, tracing data lineage across source systems and ETL pipelines, validating calculations and metrics, investigating discrepancies, documenting defects, and maintaining test documentation and version-controlled scripts. The role collaborates with data engineers, reporting teams, and business stakeholders to improve data quality and ensure accurate, reliable reporting.

Conduct independent AI research spanning large language models, reasoning, knowledge acquisition, factuality evaluation, and trustworthy AI. Translate research ideas into scalable prototypes, implement and extend state-of-the-art methods, design experiments, develop algorithms and evaluation methods, use AI-assisted development tools, and communicate findings through technical reports and research papers.