Top Remote Jobs

Owns day-to-day people operations, including payroll, benefits, HR compliance, hiring, onboarding, offboarding, performance reviews, compensation cycles, employee surveys, and culture programs. Maintains accurate records, manages HR systems, supports managers and employees, coordinates IT access, and partners with leadership on employee experience and international team integration.

Build and maintain scalable .NET applications across web, desktop, console, and mobile platforms while developing AI capabilities on Azure. Responsibilities include creating RAG solutions, LLM agents, MCP integrations, AI evaluation harnesses, guardrails, and secure application integrations. The role also supports databases, automated testing, DevOps practices, and third-party APIs. The engineer will mentor developers on GitHub Copilot, Claude, AI coding practices, and responsible review of AI-generated code.

Build and ship end-to-end full-stack features for a cloud-native cybersecurity SaaS platform. Use AI coding agents to generate specifications and code, then review outputs for correctness, security, and architectural fit. Develop agentic workflows, automation pipelines, APIs, data models, and microservices on public cloud infrastructure. Collaborate with distributed teams and security researchers to convert vulnerability intelligence into secure platform capabilities.

Join Impact Scale’s ongoing talent network for potential future opportunities in growth and strategy, creative production, or technology and engineering. The company seeks affiliate managers, media buyers, campaign managers, video editors, content creators, back-end developers, and software engineers. This is a talent pipeline rather than an application for a specific immediate opening.

Own positioning, product launches, and sales enablement for treasury workflow products targeting mid-market finance teams. The role requires B2B SaaS messaging, product launch experience, analyst relations, and content strategy expertise.

Build and migrate production data engineering and machine learning workloads to Databricks on Azure. Assess on-premises SQL Server and SSIS systems, develop PySpark and Spark SQL pipelines, implement governance with Unity Catalog, and create reusable CI/CD assets. Work directly with Department of Veterans Affairs teams through requirements sessions, workshops, training, and documentation. Depending on focus, build ML workflows or modernize ETL, reporting, semantic models, and Power BI solutions.

Build and deploy production-grade AI applications and agentic systems for client organizations. Translate ambiguous business needs into architectures, prototypes, workflows, APIs, data pipelines, and scalable products. Engineer agent harnesses, orchestration graphs, evaluations, observability, safeguards, and human controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales. Occasional travel may be required for client engagements.

Drive enterprise SaaS growth by sourcing and qualifying opportunities, engaging executive stakeholders, leading consultative sales cycles, closing seven-figure deals, forecasting pipeline, and exceeding revenue targets. The role requires technical and value-based selling across marketing, IT, ecommerce, and customer experience functions, with cross-functional collaboration across Sales Engineering, Product, Marketing, and Leadership.

Designs and analyzes mechanical systems, equipment, packaging, and metrology products from concept through production. Responsibilities include CAD and surface modeling, injection-molded and machined part design, FEA, tolerance analysis, prototype assembly and testing, vendor coordination, BOM development, calibration techniques, assembly instructions, and mentoring other engineers and designers.

Leads enterprise AI solution strategy, architecture, pre-sales, and implementation delivery for customers across the Americas. Defines AI use cases, validates feasibility, designs scalable architectures, guides Professional Services teams, and resolves complex technical challenges. Develops AI service offerings, methodologies, reusable assets, and enablement programs while mentoring architects, consultants, and project leaders. Requires deep experience with enterprise transformations, LLMs, multi-agent systems, generative AI, data architecture, cloud platforms, and production AI deployments.