Top Remote Tech Jobs

Lead sales and merchandising for regional and national wholesale accounts, develop business plans, manage distributor relationships (UNFI, Amazon, DoorDash), forecast and analyze promotions, coordinate cross-functional activities, manage MDF and trade shows, provide data-driven insights and mentorship, and oversee a Business Development Manager. Frequent travel required.

Lead and develop a team of media planners to create strategic, data-driven media plans that maximize revenue and yield. Partner with Sales, Yield, and cross-functional teams to improve planning workflows, tools, and outputs, drive operational excellence, and support product rollouts and pricing analysis.

Lead intake, prioritization, and orchestration of automation, AI, and tooling initiatives across citizen and center-led portfolios. Manage stakeholder relationships, coordinate build/test/deploy with delivery teams, track cumulative business impact, oversee audits and corrective actions, and maintain business continuity (RTO/RPO) for billing functions. Support platform strategy, compliance, and high‑impact project delivery.

The Anthropic Alliance Manager at PwC focuses on building partnerships, driving revenue growth, and executing marketing strategies to enhance brand visibility and client engagement. Responsibilities include relationship management, strategic planning, and team leadership to deliver on client expectations and organizational goals.

Lead global information reporting tax engagements, ensure compliance, analyze financial data, develop tax strategies, drive business development, mentor teams, build executive client relationships, and promote tax technology and thought leadership across the PwC network.

Lead strategy and execution for branded entertainment and adjacent GM brand initiatives across website, social, paid media and partner content. Manage agencies, develop creative briefs, coordinate stakeholders, identify partnership opportunities, track performance, and maintain governance to ensure consistent brand storytelling and effective content programs.

Configure and maintain Workday Core HCM and Business Processes (Staffing, Onboarding, Jobs & Positions, Contact/Personal Information). Manage BP routing, approvals, rules, notifications, validations, and security. Support production issues and release (R1/R2) testing, partner with HR/IT stakeholders, implement system improvements, and process mass transactions via EIB. Use deployment tools like tenant compare, configuration change tracker, and Object Transporter.

This role involves leading the safety strategy for autonomous driving systems at GM, directing validation methodologies and ensuring safety performance through collaboration across teams, hiring, and developing engineering talent.

Build and maintain frontend features for high-visibility live and interactive news experiences. Contribute to React/Astro/Qwik apps, consume and build APIs, implement responsive accessible UIs, write tests, participate in reviews, debug, and collaborate with product and design while learning from senior engineers.

Lead and grow a team that designs, delivers, and operates enterprise cyber services across network, endpoint, logging, secrets, and cloud security. Own roadmap execution, service reliability, telemetry/SIEM integration, automation/Infrastructure-as-Code, operational excellence (SLOs, runbooks, incident response), and cross-functional partnerships to reduce risk and enable secure innovation.

Capture, structure, and communicate complex engineering architectures and decisions to improve discoverability and usability. Produce architecture narratives, onboarding guides, knowledge maps, and AI-friendly documentation. Partner with architects and engineering teams through interviews and workshops, create actionable guidance, and use modern AI tools to synthesize and maintain technical knowledge.

Build a cross-platform endpoint agent to detect and attribute AI-generated code at the line level, design pipelines to capture/classify/store developer and agent activity, work with Git internals, integrate with coding agents, and ensure reliable, invisible production deployments across macOS, Linux, and Windows.

As a Principal Machine Learning Systems Engineer, you will lead the development and implementation of machine learning systems and solutions to enhance team collaboration and productivity across Atlassian's software products.

Lead and scale strategic ISV go-to-market partnerships globally by aligning with Product, developing and executing GTM plans, driving joint revenue opportunities, enabling field and partner sales, creating marketplace listings, and measuring partnership performance to optimize impact.

Provide quoting and deal-structuring support to global sales teams, negotiate with customers, resolve post-deal satisfaction issues, act as pricing subject-matter expert, and coordinate with legal, billing, finance, revenue, and product teams to ensure compliance with internal controls and policies.

Lead client-facing data science engagements combining big data engineering, ML, and analytics. Build and audit datasets, develop predictive models, implement solutions on cloud platforms, run technical projects, mentor junior staff, and communicate technical strategies to clients.

Work with clients and engineers to audit marketing datasets, build analytics pipelines, and apply predictive models (segmentation, attribution, propensity) using SQL, Python, cloud big-data tools, and ML frameworks. Support implementations, develop analytic applications, and communicate findings to drive marketing outcomes.

Execute demand generation campaigns including end-to-end email marketing in HubSpot, webinar setup and execution, digital marketing support, campaign reporting, and cross-team coordination to deliver timely, measurable marketing programs.

Manage a portfolio of educational accounts to grow ARR through upsells and renewals. Prospect within accounts, build stakeholder relationships, develop strategic plans and business cases, maintain CRM records, collaborate with Customer Success, and report forecasts, risks, and opportunities to management.