Top Remote Tech Jobs

Handles high-volume inbound calls from insurance agents regarding annuity new business, product and funds onboarding, pending requirements, and application status. Provides accurate customer service, explains basic information, processes requirement items, supports team workflows, and meets departmental and regulatory standards. The role includes paid training, flexible weekday shifts, and requires FINRA-related pre-hire fingerprinting.

Handles high-volume inbound inquiries from insurance agents regarding annuity new business, application requirements, pending items, product and funds onboarding, and transaction processing. Provides accurate status updates, explains basic functional information, processes requirements, and supports team workload while meeting service and regulatory standards. The role includes paid training, full-time weekday shifts, and requires strong communication, multitasking, time management, and attention to detail.

Provides high-volume inbound call support to insurance agents regarding annuity new business, product and funds onboarding, application requirements, pending items, and transaction processing. Delivers accurate status updates, explains basic functional information, processes requirements, and supports team workload while meeting service and regulatory standards. Requires strong communication, multitasking, time management, and customer service skills. Paid training covers insurance products, policy provisions, phone skills, and transaction processing.

The Enterprise Account Executive will drive enterprise sales of the Qualtrics Experience Management platform, engage with Fortune 100/500 clients, and consistently meet sales quotas while managing relationships.

Lead enterprise architecture initiatives across software applications, platforms, and shared technology capabilities. Develop architecture assessment agents, guide technology evaluations, establish AI-enabled engineering patterns, and influence governance and target-state architecture. Provide hands-on technical leadership through software delivery, including coding, code review, testing, security, resiliency, and operational stability. Act as a subject matter expert while guiding technical teams, vendors, and stakeholders across multiple technology domains.

Leads development of secure, scalable Java full-stack solutions for JPMorganChase’s marketing automation platform. Designs, codes, tests, reviews, troubleshoots, deploys, and supports applications across the SDLC. Modernizes marketer campaign creation using Adobe Experience Manager and Adobe Cloud capabilities, including integrations, custom development, content workflows, migration, and headless delivery. Guides AI-assisted engineering adoption, evaluates technical solutions, coordinates with design and web teams, and drives architectural and operational improvements.

Build and productionize agentic workflows, RAG pipelines, AI services, backend systems, and ML pipelines for sales automation. Integrate Salesforce, quoting engines, data lakes, and internal platforms using scalable, event-driven architectures. Lead 0-to-1 development of tools for account research, lead prioritization, and quoting while ensuring reliability, observability, performance, and resilience across the GTM technology stack.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Conducts high-volume bilingual outreach to prospective restaurant and local business customers, qualifies their needs, schedules meetings for Account Executives, and develops sales skills through Toast’s structured path toward an Account Executive role.

The Director will lead analytics strategy and business operations for PSA Consumer Grading, overseeing measurement, reporting, forecasting, experimentation, and process improvement. The role combines hands-on analysis with management of two leaders, partnering with Data, Pricing, Product, and Finance. Responsibilities include developing metrics, conducting executive-level deep dives, translating insights into recommendations, improving analytical rigor, and applying AI to accelerate workflows.

Architects and optimizes high-volume database platforms supporting trading applications. Responsibilities include MySQL schema design, SQL and query optimization, migrations, scalability, reliability, observability, production issue resolution, developer tooling, and database architecture. The role partners with engineering and platform teams, leads technical initiatives, establishes database best practices, mentors engineers, and uses Google Cloud services to improve performance, resilience, and operational efficiency.

Leads customer education strategy and self-serve learning experiences to improve customer success and business outcomes. Owns educational content, webinar programs, customer playbooks, and training initiatives. Uses qualitative and quantitative data to identify learning gaps, measure engagement, reduce support needs, improve CSAT, and optimize content. Partners cross-functionally with Customer Success, Marketing, Product, subject matter experts, and customer teams while managing large projects, timelines, deliverables, and operational readiness for new products and features.

Serve as first point of contact for clients managing self-directed retirement accounts via chat, phone, and email. Educate customers on products, resolve inquiries end-to-end, build trust, provide proactive recommendations, and collaborate with internal teams to ensure satisfaction and retention.

Manages global treasury operations, including cash and liquidity management, forecasting, FX exposure and hedging, investments, banking relationships, debt facilities, reconciliations, compliance, and treasury systems. The role leads process optimization, automation, controls, insurance renewals, and the implementation of Trovata Treasury Management System while partnering with finance, accounting, tax, IT, banks, and senior leadership.

Partners with engineering teams to identify and remediate product security risks across the software development lifecycle. Responsibilities include threat modeling, secure architecture and coding guidance, security testing, vulnerability prioritization, penetration testing coordination, bug bounty remediation, application monitoring, developer training, and secure deployment practices. The role also advances AI-assisted security tooling, DevSecOps practices, security champions, Kubernetes and container security, and scalable risk-based remediation frameworks.

Lead development, deployment, and operationalization of statistical and machine learning models for Grainger's digital products. Design and automate experiments, analyze large datasets, perform feature engineering, and present actionable insights to stakeholders. Support digital product areas (search, recommendations, checkout), mentor junior team members, and apply techniques including regression, classification, boosting, NLP, and time series forecasting.