Top Remote Senior Level Jobs in Tallahassee, FL

Independently manages telecom design tasks, project schedules, budgets, risks, documentation, and coordination. Supports project leads, mentors junior consultants, reviews RFIs, RFQs, submittals, and quality control materials, and coordinates BIM activities with stakeholders and MEP disciplines. Uses Deltek, Bluebeam, and Revit while participating in meetings, site visits, and client engagements.

Drives business development and technical sales for high-speed data and signal integrity test solutions. Develops customer relationships, identifies market needs, shapes product positioning, delivers BERT and VNA demonstrations, supports compliance testing opportunities, builds sales pipeline, and influences product roadmaps. The role serves semiconductor, hyperscale data center, module, cable, and system OEM customers while representing the company at industry standards events. Travel includes customer visits, technical evaluations, and industry events.

Serve as the compliance SME for HSA, FSA, and HRA products: review marketing and customer content, lead compliance risk assessments (including AI tools), advise product and ops teams on transaction and regulatory issues, monitor regulatory changes, support escalations and audits, and recommend controls and remediation for identified risks.

The Director of Product Marketing will build and lead WanderOS’s product marketing function. Responsibilities include defining positioning, personas, competitive strategy, launch programs, demand-generation campaigns, product communications, sales enablement, operator research, funnel analytics, and adoption initiatives. The role partners closely with Product, Sales, Marketing, and company leadership, hires and develops product marketers, and translates platform capabilities into compelling customer-focused messaging.

Provide end-to-end HubSpot consulting: discovery, requirements translation, implementation, testing, data cleansing/imports, post-go-live support, and proactive client relationship building. Tackle code-related tasks and work in agile sprints to deliver solutions and ensure user adoption.

Provide legal support for commercialization and product development of an AI-powered ad tech platform: draft and negotiate commercial agreements, manage IP portfolio and complex IP litigation, advise on AI, data, and privacy matters, counsel product teams on compliance and IP protection, and develop automated legal workflows.

Build and support consumer-facing full-stack features for an energy-saving platform. Responsibilities include developing TypeScript/React frontend and Python backend functionality, owning critical product flows, collaborating with product and analytics teams, working with cloud and database technologies, implementing UI and API monitoring, and participating in code reviews and agile development processes.

Own the PMO's technology work intake, prioritization, governance, delivery standards, executive reporting, capacity tracking, and portfolio dashboards. Administer Jira and Confluence, automate PMO reporting and analysis with agentic AI, facilitate Agile and cross-team forums, manage communications and training, and support vendor and contract oversight. The role partners with technical leaders and executives to maintain delivery quality, visibility, and consistent PMO processes.

Develop and maintain manual and automated tests for web, mobile, API, and integrated software systems. Create test cases, test plans, automation scripts, and testing strategies; investigate defects; validate releases; query databases; and integrate automation into CI/CD pipelines. Collaborate closely with Product, Engineering, and DevOps teams to improve coverage, reliability, and software quality in an Agile SaaS environment.

Lead the engineering function and remain hands-on while building an AI-powered freight billing platform. Own architecture, data infrastructure, AI/ML validation, enterprise integrations, security, CI/CD, observability, testing, and scalability. Partner with Product and Data Science to automate invoice validation, discrepancy detection, exception handling, and auditability. Build and mentor distributed engineering teams, establish technical direction, and deliver rapid MVP iterations for enterprise adoption.