Top Remote Jobs

Leads the design and coordination of low-voltage ICT and security systems for data centers and mission-critical facilities. Develops coordinated construction documents, Division 27 and 28 specifications, design standards, and QA/QC processes. Performs BIM modeling, clash detection, constructability reviews, field assessments, inspections, and commissioning support. Mentors designers and BIM staff, coordinates with clients and project teams, and evaluates AI and automation tools to improve design workflows.

Architects, engineers, and optimizes full-stack business intelligence products from raw data through finished analytics applications. Builds ETL and data transformations, develops Tableau and Power BI solutions, writes and optimizes advanced SQL, designs frontend visualization experiences, and applies CI/CD and version control practices. Independently manages complex data products, translates business needs into technical solutions, and defines analytics engineering strategy.

Build and maintain Mercury’s design system components, patterns, tokens, and foundations with strong accessibility, performance, and visual quality. Lead projects that improve product team velocity, advance prototyping workflows, and apply AI to design-system development. Mentor engineers and designers, establish best practices, and provide systems-oriented technical leadership across ambiguous, high-impact initiatives.

Own Reflow’s product marketing from the ground up, including positioning, messaging, launches, campaigns, lifecycle content, customer marketing, competitive intelligence, distribution, and sales enablement. The role partners closely with founders, product, sales, and customer success; creates content and demos; defines ICPs and use cases; and uses customer and market data to improve marketing performance.

Develop software, automation, deployment pipelines, threat intelligence systems, network-data ingestion tools, research labs, and continuous testing infrastructure supporting threat research and detection engineering. Work with network packet data to emulate adversary behavior, improve R&D efficiency, deploy enterprise software, and participate in code reviews. The role requires strong Python, software engineering, networking, and cybersecurity expertise.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Drive full-cycle outbound sales to acquire independent financial advisor clients. Responsibilities include cold calling, email prospecting, product demonstrations, meeting quarterly sales goals, maintaining accurate Salesforce records, presenting the company value proposition, advancing complex deals, and collaborating with Marketing, Product, and Customer Success to ensure a seamless prospect-to-client experience.

Lead home health revenue operations teams responsible for orders management, pre-bill audits, held-claim resolution, medical records, and contract therapy workflows. Manage team performance, quality controls, SOPs, escalations, and billing readiness. Monitor operational dashboards and work queues to identify bottlenecks, improve processes, and reduce unbilled revenue. Partner with clinical, billing, product, engineering, and R&D teams to implement workflow improvements and automation.

Lead evaluation and automatic optimization for AI models and agents, including benchmarks, LLM judges, simulations, trajectory analysis, regression tests, synthetic data pipelines, and post-training systems. Diagnose failures and convert findings into improvements to prompts, context, tools, rubrics, and agent harnesses. Apply current LLM research to production, collaborate with retrieval and product teams, mentor engineers, and guide Nova’s technical direction.

Own dealership-focused products end to end, from customer discovery and workflow prototyping through launch, adoption, and measurable business impact. Partner with Engineering, Design, Sales, Customer Success, Marketing, and dealership teams to define AI agent behavior, quality standards, failure handling, pricing, pilots, and success metrics. Use product judgment, data, customer insights, and unit economics to prioritize opportunities and deliver reliable AI features.