Top Remote Jobs

Lead technical presales and solution architecture for HPE enterprise storage across U.S. Federal accounts. Advise customers and systems integrators, design storage architectures, conduct discovery, sizing, demonstrations, proofs of concept, competitive positioning, and proposal support. Navigate Federal acquisition, security, compliance, and modernization requirements while coordinating internal engineering, product, services, and partner teams. The role requires deep storage expertise, Federal-sector experience, customer-facing technical sales capability, U.S. citizenship, and travel exceeding 50%.

Leads technical sales and solution architecture for HPE enterprise storage across U.S. Federal accounts. Responsibilities include customer discovery, storage architecture, sizing, demonstrations, proofs of concept, competitive positioning, proposal support, and technical closure. The role requires deep storage expertise, Federal acquisition knowledge, collaboration with systems integrators and partners, and experience supporting classified or national-security environments. It is remote/teleworker but requires 50%+ travel, U.S. citizenship, and TS/SCI clearance with a full-scope polygraph.

Architects and sells enterprise IT solutions to U.S. Department of Defense customers. Develops technical proposals, solution designs, demonstrations, proofs of concept, and business cases; advises sales teams and executives; manages account pipelines; supports customer transformation strategies; and coordinates partners and internal stakeholders. Requires extensive Federal DOD experience, technical consulting and solution-selling expertise, enterprise infrastructure knowledge, U.S. citizenship, and travel exceeding 50%.

Design, deploy, and operate multi-vendor, multi-region hybrid cloud data center networks. Drive automation-first deployments using IaC and scripting, improve deployment quality/velocity, integrate automation into capacity workflows, build visibility/tools, maintain production reliability, and participate in 24x7 on-call rotations.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Analyze in-the-wild exploits and perform deep reverse engineering to track adversaries. Build detection, automation, and classification frameworks; develop host/network signatures and tooling. Produce high-quality intelligence reports and briefings, collaborate across teams, and contribute to mitigation and large-scale hunting efforts.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Manage a portfolio of mid-market B2B SaaS customers, driving adoption, retention, renewals, expansion, and measurable business outcomes. Build executive relationships, create strategic account success plans, monitor customer health, lead executive business reviews, identify risks and growth opportunities, and collaborate cross-functionally with Sales, Product, Support, Professional Services, Finance, and Marketing. Serve as the customer advocate and trusted strategic advisor.

Build and maintain Customer Success and Implementation playbooks, SOPs, training programs, knowledge bases, presentation materials, and scalable workflows. Partner cross-functionally to communicate process and product changes, improve automation and efficiency, identify customer risks, and measure enablement effectiveness. Support implementation, launch readiness, customer health, escalations, business reviews, renewals, and expansion.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Owns end-to-end accounts payable operations, including invoice processing, payments, accruals, prepaids, reconciliations, and month-end/year-end close. Supports audits, maintains audit-ready documentation, strengthens internal controls, and partners with Accounting and FP&A on accruals, cash forecasting, and vendor issues. The role also drives AP automation, standardizes procedures, optimizes NetSuite and Ramp workflows, and may mentor or manage additional resources as the function grows.

Lead Headway’s Talent Intelligence and Early Careers Recruiting function. Build teams, campus recruiting strategy, talent mapping, sourcing infrastructure, internship programs, market intelligence, reporting, and long-term candidate pipelines. Partner with recruiting, HR, and business leaders to plan hiring capacity, improve sourcing, manage university relationships, deliver internships and events, and own defined hiring outcomes across technical and business functions.

Build and mature Headway’s infrastructure security program across AWS and application platforms. Partner with Product and Infrastructure teams on secure system design, security reviews, platform guardrails, vulnerability remediation, and continuous infrastructure improvement. Support incident response and security operations while advancing AI-native cloud security practices. The role requires strong technical depth, cross-functional collaboration, and the ability to establish secure-by-default engineering practices in an ambiguous, fast-paced environment.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.

Leads product initiatives from concept through launch and lifecycle management. Responsibilities include market and customer research, requirements development, roadmap planning, feature prioritization, business case and pricing development, pilot programs, product demonstrations, and cross-functional collaboration with engineering, sales, marketing, support, and internal stakeholders. The role also identifies partnership opportunities, defines success metrics, and delivers products within scope, timeline, and budget.

Lead CTV media buying and programmatic strategy across Ashley’s furniture and mattress brands. Optimize campaigns, budgets, CPMs, audience targeting, and frequency to drive online conversions and in-store sales. Manage publisher, streaming platform, ad exchange, and DSP relationships; negotiate Deal IDs and PMP agreements; oversee attribution, incrementality testing, clean-room analysis, impression deduplication, and offline conversion measurement. Partner with data science and creative teams to improve performance, unify fragmented vendor data, and achieve ROAS targets.

Build and deploy production machine learning systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, lead-time, spend, and supplier-risk forecasting; anomaly detection; feature engineering and ETL; real-time inference; MLOps; data infrastructure improvements; governance; and model monitoring. The role defines the AI transformation roadmap, partners with executive and cross-functional stakeholders, mentors scientists, and drives adoption of AI-enabled operational workflows.

Lead enterprise go-to-market execution and sales for Samsara’s Tracking Label product across strategic US accounts. Architect pilots and global shipment-network rollouts, build ROI and loss-prevention business cases, engage C-suite stakeholders, navigate complex procurement and security processes, and close large multi-year contracts. Partner with account executives, product, and GTM leadership while developing sales playbooks and enabling broader specialist teams.

Manage a team of Customer Success Managers, enhancing customer experiences and driving business value, while developing long-term strategies and advocating for customer needs.