Top Remote Jobs

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.

The Senior Actuary manages complex actuarial analysis, reporting, valuation, pricing, cost analysis, provider analytics, and certification activities for pharmacy and health insurance operations. The role drives strategic cross-functional projects, develops methodologies and process improvements, reviews work products for quality and compliance, communicates with regulators and customers, and mentors junior staff and interns. It requires advanced actuarial expertise, leadership, project management, and proficiency with analytical technologies.

Leads advanced data science for pricing, marketing incrementality, customer lifetime value, retention, churn, and commercial decision-making. Designs experimentation and causal inference methods, builds predictive models, productionizes them in Databricks, reviews external analyses, and communicates findings to executives, investors, and the board. Serves as the senior technical authority for experimentation and ensures analyses are reproducible, rigorous, and decision-focused.

Owns organization-wide compliance frameworks, regulatory monitoring, authorization and accreditation readiness, audits, corrective actions, and obligations tracking. Evaluates emerging frameworks and productizes approved opportunities into sellable service offerings by defining scope, methodologies, pricing inputs, delivery artifacts, staffing needs, enablement, launch plans, and portfolio strategy. Partners cross-functionally with PMO, Sales, Marketing, Finance, RFP, and delivery teams.