Top Remote Jobs

Reviews and edits technical deliverables for a DoD cybersecurity risk management program. Ensures quality, accuracy, version control, repository submission, and on-time delivery of contract products. Coordinates with task leads, project managers, and stakeholders; maintains templates and monthly status reports; supports technical briefings and governance materials. The position is remote within the United States and requires a current DoD Secret clearance, U.S. citizenship, and occasional travel.

Administer the technical training program’s LMS, including user access, curricula, content, automated assignments, scheduling, attendance, records, compliance tracking, audits, onboarding, and reporting. Coordinate instructor-led, virtual, vendor, and site training across 24x7 operations. Maintain accurate certifications and training records, produce dashboards and audit evidence, troubleshoot learner issues, and support instructional designers, operations leaders, HR, and EHS.

Supports enterprise, channel, and commercial sales by delivering product demonstrations, technical presentations, evaluations, pilots, proof-of-concept engagements, and technical validation. Partners with sales, customers, and channel partners to translate Ambient.ai capabilities into security and business outcomes. Provides networking and cloud expertise, develops proposals and enablement materials, gathers customer feedback, and collaborates cross-functionally to advance complex technology sales.

Own GTM strategic planning across territory design, segmentation, target setting, and capacity planning. Build planning data systems using HubSpot, BigQuery, Hex, and Hightouch; translate company priorities into field execution; define performance metrics; lead planning tooling and process improvements; and collaborate with Sales, Success, Marketing, Finance, Partnerships, Product, Talent Acquisition, and GTM Engineering. The role requires strong SQL skills, product-led growth knowledge, and experience with revenue operations or sales strategy in B2B SaaS.

Drives new customer acquisition, account expansion, retention, and revenue growth for Zendesk’s commercial segment. Manages complex B2B SaaS sales cycles, builds executive relationships, develops ROI cases, forecasts pipeline, and identifies cross-sell opportunities using AI, analytics, and digital sales tools. Collaborates with solution engineers and internal teams to deliver tailored solutions, communicate AI product value, monitor market trends, and exceed sales targets. Regional and national travel may be required.

Leads aerospace and defense business development, identifying government funding and shaping requirements before solicitations. Builds relationships with defense agencies, labs, congressional staff, and prime contractors; selects rapid contracting pathways; leads capture, proposals, pricing, and IP strategy; transitions prototypes into production and programs of record; forecasts pipeline and closes high-value government orders. Requires strong defense contracting knowledge, government networks, proposal-writing ability, technical aptitude, and approximately 50% travel.

Own the full sales cycle for complex B2B technology opportunities, from prospecting through close. Build profitable, services-led pipelines; achieve revenue, gross margin, and ACV targets; sell cloud, networking, security, digital workplace, and managed services; engage executive stakeholders; forecast accurately; and collaborate with solution architects, services teams, OEMs, ISVs, finance, and channel partners. The role requires up to 50% travel and emphasizes new business rather than account farming.

Hunt and close new-logo customers among AI cloud, neocloud, GPU-as-a-service, and inference providers. Own the full enterprise sales cycle, build qualified Salesforce pipeline, forecast using MEDDPICC, shape technical evaluations, develop CFO-level business cases, and partner with NVIDIA, OEM, hardware, and channel organizations. The role requires strong AI infrastructure expertise, executive relationships, complex seven-figure deal experience, and the ability to help define go-to-market strategy for k0rdent AI.

Own the end-to-end delivery of AI-powered products for enterprise clients, from ambiguous problem definition through production launch and business impact. Translate customer needs into requirements, prototypes, ground-truth datasets, evaluations, and technical decisions. Collaborate closely with engineers on architecture, prompts, retrieval, agents, and quality improvement while coordinating delivery and stakeholder alignment. Drive client adoption, communicate with executives, manage multiple projects, and contribute to team-wide initiatives and applied AI practices.

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.