Top Remote Tech Jobs

Builds and manages HPE relationships with channel partners, driving revenue, profitability, pipeline, market share, and quota attainment. Develops joint business plans, communicates HPE technology and strategy, coordinates sales and marketing activities, forecasts performance, supports partner enablement, and ensures compliance with partner requirements. The role focuses on SMB partners and local or country accounts, primarily working onsite at partner or customer offices.

Manages HPE channel partners to drive revenue, profitability, pipeline growth, and partner loyalty. Develops joint business plans, communicates HPE technology and sales strategies, coordinates marketing and sales activities, forecasts performance, supports partner compliance, and tailors solutions to customer needs. The role builds relationships with VARs, distributors, service providers, and other partners while achieving assigned sales quotas in the SMB segment.

Leads commercial accounts across the U.S. Air Force and Space Force, serving as the primary customer contact and driving solution sales across networking, security, data center, and wireless offerings. Develops account plans, builds partner and systems integrator relationships, identifies opportunities, manages pipelines and forecasts, grows revenue and margin, and coordinates internal resources to deliver complex solutions. The remote role requires frequent customer engagement and at least 50% travel.

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

The Senior Manager, HR Compliance is responsible for developing and executing a compliance framework across the Americas, managing immigration and global mobility programs, and ensuring adherence to applicable laws and regulations while fostering a culture of compliance within the organization.

Leads complex, cross-functional business operations and strategy initiatives from concept through measurable execution. Responsibilities include analytical modeling, SQL-based analysis, operational planning, performance measurement, mechanism design, stakeholder alignment, executive communication, and independent project ownership. The role drives strategic projects, launches initiatives, and improves scalable business processes in a remote-first mental healthcare company.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.

Build agentic AI workflows and internal platforms that improve software development lifecycle automation, including code generation, review, testing, and release. Develop context-grounding, model-routing, observability, benchmarking, and quality systems for LLM agents. Partner with engineering teams to identify workflow friction, optimize compute and model costs, and promote responsible AI adoption. The role requires backend or platform engineering experience, production Kubernetes exposure, LLM-agent infrastructure expertise, and Go or Python proficiency.

Drives end-to-end go-to-market campaigns for new content launches, defining success metrics, sizing impact, managing scope and timelines, and coordinating on-platform, CRM, paid media, product, creative, content, and category teams. Owns integrated launch plans, campaign execution, revenue and engagement outcomes, performance measurement, and results-driven quarterly planning for a consumer subscription business.

Manage and grow a strategic content portfolio through SEO, AEO, and GEO optimization. Analyze performance data, competitive research, and content gaps to develop actionable strategies. Create engaging editorial content, launch scalable initiatives, and collaborate across SEO, social, YouTube, and other teams to increase traffic, engagement, and business impact.

Staff Technical Program Manager will lead execution for emerging AI-native products from discovery through general availability. Responsibilities include coordinating engineering pods and cross-functional teams, defining milestones and launch-readiness criteria, managing risks and dependencies, establishing operating cadences and health metrics, improving program-management systems, and coaching technical leaders and peer program managers. The role requires strong technical judgment, comfort with ambiguity, executive communication, and experience launching products in emerging-technology environments.

The Content Marketing Manager will lead content planning and production across blogs, email, SEO, AI-driven search, and organic social channels. Responsibilities include managing editorial calendars, creating data-rich and customer-focused content, owning the Inventory Insider newsletter, optimizing channel performance, developing AI-assisted workflows, and managing agencies and freelancers. The role collaborates with data, demand generation, and product marketing teams on research, campaigns, and product initiatives.

The Commercial Account Executive builds executive and customer relationships, develops account strategies, aligns Zscaler’s cloud security solutions with business goals, and collaborates internally to meet customer needs. The role requires full-cycle software or security sales experience, strategic planning, net-new logo development, channel partnership utilization, and familiarity with AI/ML and generative AI tools.

Conduct application security assessments, discover and validate vulnerabilities, analyze complex codebases, build custom security tooling, perform threat modeling and architecture reviews, and deliver actionable findings to clients. Independently own assessment workstreams, develop proof-of-concept exploits, communicate technical conclusions, review team work, and contribute to security research, open-source tools, and technical writing.

Conduct application security assessments, discover and validate vulnerabilities, analyze code and architectures, perform threat modeling, build security tooling, and develop proof-of-concept exploits. Own scoped assessment components from discovery through client delivery, communicate findings and remediation guidance, and contribute to security research, open-source tools, and technical documentation. The role requires hands-on coding, vulnerability research, memory-corruption knowledge, operating-system familiarity, and independent technical investigation.

Lead cryptographic security assessments of protocols, libraries, applications, and high-assurance systems. Analyze advanced cryptographic constructions, identify design and implementation weaknesses, validate exploitability, and recommend remediation. Build testing and analysis tools, manage client delivery, write precise technical reports, mentor engineers, contribute to methodologies and services, and support open-source research and technical publications.

Leads an AI engineering team of 4–8 engineers while remaining hands-on with architecture, coding, code reviews, and debugging. Owns delivery of production AI systems, including LLM applications, agentic workflows, document extraction, ETL pipelines, observability, monitoring, and model evaluation. Partners with product, platform, data engineering, recruiting, and customers to establish technical direction, hire talent, and deliver reliable, scalable AI features.