Top Remote Jobs

Leads business intelligence consulting and analytics for external clients. Designs scalable dashboards, reports, visualizations, automated reporting solutions, and data processes using disparate datasets. Identifies trends, resolves complex data issues, and delivers actionable recommendations through executive presentations. Manages client relationships, documentation, reporting support, and analytics governance while mentoring junior employees.

Build and operate scalable production data pipelines and transformation platforms using Python, SQL, dbt, Spark, Google Cloud, and Databricks. Own data architecture, modeling, schema design, performance optimization, orchestration, deployment, monitoring, and troubleshooting. Deliver platform modernization projects, mentor engineers and analysts, review code, improve tooling, and collaborate with product and engineering teams to create reliable datasets for structured finance analytics.

Drive new business growth among mid-market and SMB restaurant and hospitality operators. Own prospecting, consultative sales, product demonstrations, executive relationships, pipeline management, forecasting, CRM data, and monthly targets. Collaborate with sales engineering, solution architects, marketing, and service teams to sell unified commerce software, hardware, payments, and customer engagement solutions.

Owns the design, development, deployment, and production support of scalable cloud-based software using C#, .NET, APIs, distributed systems, and modern frontend technologies. The role influences architecture, mentors engineers, improves engineering practices, troubleshoots performance issues, and champions testing, CI/CD, observability, security, and infrastructure automation. It also contributes to AI-assisted engineering initiatives and leads technical work across multiple sprints or quarters.

Deliver tailored software demonstrations, presentations, webinars, and customer consultations throughout the sales cycle. Partner with Sales and Marketing to support opportunities, bids, upselling, cross-selling, and competitive displacement. Develop sales enablement training and digital content, maintain Showpad resources, and represent IRIS at customer meetings and industry events. Translate technical software features into business benefits while managing stakeholder relationships and competing priorities.

Own and execute Athos Commerce’s US partnership strategy, recruiting and managing ecommerce agencies, system integrators, platforms, and technology vendors. Drive partner-sourced pipeline and revenue through account mapping, joint go-to-market initiatives, co-marketing, training, and events. Build executive relationships, conduct business reviews, monitor partner performance and churn risk, and collaborate with Sales, Customer Success, Marketing, and Product to expand the partner ecosystem.

Leads and coordinates global gallery-opening projects, partnering with leadership and cross-functional teams to execute strategies, resolve operational challenges, develop contingency plans, and drive continuous improvement. The role supports field teams, mentors participants, analyzes project outcomes, implements best practices, and contributes to initiatives that improve associate and customer experiences.

Designs, builds, and operates secure, scalable AWS and Azure cloud infrastructure across multi-account environments. Develops Infrastructure as Code, CI/CD pipelines, automation, observability, and IAM governance. Supports production reliability, incident response, FinOps, FedRAMP and HIPAA compliance, and AI-assisted engineering practices. Partners with product, security, and engineering teams to establish cloud standards, guardrails, and reference architectures.

Leads the indirect and broker sales team by hiring, coaching, and managing Business Development Managers and Sales Analysts. Develops sales plans, monitors performance metrics, builds strategic broker relationships, identifies market and product opportunities, collaborates across departments, and ensures the team achieves sales targets. The role requires energy-sector sales and business development experience, sales management expertise, strategic thinking, strong communication, and up to 25% travel.

Owns end-to-end payroll and timekeeping for a new US manufacturing site, including hourly and salaried employees, overtime, corrections, reporting, and audits. Manages employment compliance, HRIS administration, onboarding, benefits coordination, training assignments, personnel records, employee questions, and locally executed global people cycles. Serves as the sole on-site HR contact while partnering with Finance, managers, vendors, and the global People team.

Owns cross-functional commercial analysis spanning pricing, contracts, scope changes, program performance, pipeline, bids, and margin. Builds cost and pricing models, reconciles business data, tracks commitments and risks, supports pursuits, and improves processes connecting Sales, Capture, Finance, Engineering, Legal, and Delivery. This senior individual contributor uses financial fluency, product judgment, analytical modeling, and process design to improve commercial decisions and execution.

Lead end-to-end U.S. Government capture and proposal efforts, including strategy, bid/no-bid decisions, compliance, pricing inputs, teaming, rapid-turn responses, and delivery handoff. Coordinate cross-functional stakeholders, build scalable proposal processes, maintain reusable knowledge assets, and implement responsible AI-assisted drafting and review workflows while protecting sensitive information.

Lead the technical direction for audience data products and build high-volume pipelines for audience creation, partner data onboarding, identity mapping, and external data delivery. Mentor engineers, oversee design reviews and build-versus-buy decisions, and develop AI-enabled engineering tooling with appropriate guardrails. Collaborate with data science, product, engineering, and external partners.

Lead the technical direction for identity and audience data systems. Design identity models, partner mappings, high-volume production pipelines, privacy controls, data quality frameworks, monitoring, and anomaly detection. Collaborate with data science, product, legal, security, and engineering teams while mentoring engineers and leading design reviews. Develop AI-enabled engineering tools and guardrails, and ensure reliable, auditable data products at scale.