Top Remote Tech Jobs

Plaintiff-side litigation attorney responsible for managing high-volume mass arbitration campaigns, including case evaluation, pre-suit demands, filings, claimant communications, settlement negotiations, and co-counsel coordination. The role also develops scalable case evaluation processes, validates consumer protection and privacy theories, reviews legal materials, and serves as the internal authority on litigation strategy. Experience with legal technology, AI, and automation is required.

Own and grow the U.S. corporate sales pipeline for AI-driven software development training. Responsibilities include engaging decision-makers, identifying business needs, tailoring training solutions, selling multi-day programs and ongoing enablement, developing long-term client relationships, and contributing to pricing, packaging, and go-to-market strategy. This is a remote, commission-based, consultative B2B sales role with potential for a future base salary.

Leads New Leaders’ earned-revenue strategy, including student acquisition, B2B partnerships, professional learning services, and K-12 product growth. Oversees the growth and revenue team, develops multi-year growth plans, manages strategic partnerships and sales pipelines, drives enrollment campaigns, and tracks revenue performance through dashboards and KPIs. Partners with executive leaders on pricing, marketing, financial modeling, brand alignment, and revenue diversification while representing the organization externally.

Convert qualified B2B opportunities into closed deals by managing the full consultative sales cycle. Conduct discovery, present solutions, negotiate terms, manage pipeline and forecasting, collaborate with internal teams, and consistently meet monthly and quarterly revenue targets.

Own the full enterprise sales cycle for GoodShip’s freight orchestration platform, from prospecting and qualification through complex multi-stakeholder negotiations and closing. Build pipeline among shippers, carriers, brokers, and logistics organizations; develop business cases, deliver tailored demos, navigate procurement and executive approval, and close multi-six-figure SaaS deals. Partner with Solutions, Product, Customer Success, and leadership to ensure successful handoffs and provide market insights that inform go-to-market strategy.

Leads enterprise analytics, reporting, dashboard development, data governance, and data quality initiatives. Builds data models, ETL processes, pipelines, monitoring solutions, anomaly detection, and surveillance reporting using Power BI, SQL, Databricks, and Epic Clarity. Partners with executive and business stakeholders across healthcare, finance, and strategy to deliver actionable insights and support data-informed decisions, with emphasis on compliance, fraud detection, pharmacy, and investigative analytics.

Leads the global clinical and commercial pharmaceutical supply chain, including demand and supply planning, S&OP, inventory management, labeling, packaging, depots, 3PLs, distribution, logistics, trade compliance, serialization, and launch readiness. Builds the supply chain organization and systems, manages vendors and financial performance, ensures GMP and SOX compliance, and partners with manufacturing, quality, regulatory, commercial, and patient services teams to support global product launches.

Build and maintain data-intensive, interactive web products across the full stack. Architect and implement API and frontend features, validate FastAPI responses with Pydantic, access Postgres via SQLAlchemy, optimize performance and scalability, implement testing and QA, participate in code reviews, refine UX, and help define engineering processes at an early-stage company.

The Payroll Customer Success Manager serves as the main contact for customers, supporting onboarding, ensuring payroll accuracy, resolving issues, and building trust through proactive communication.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.