Top Remote Tech Jobs

Own full-cycle B2B sales for Sprout Social’s public sector segment, including prospecting, pipeline generation, relationship development, deal management, and quota attainment. The Account Executive will engage decision-makers across organizations, manage qualified opportunities, collaborate with internal teams, and deliver tailored product value. Success includes building a pipeline exceeding four times monthly quota, consistently meeting revenue targets, expanding account adoption, and eventually sharing sales best practices with peers.

Lead the design, development, and operation of scalable data pipelines, trusted data products, metrics, and feature-ready datasets. Establish data quality, governance, orchestration, testing, observability, and engineering standards using Python, PySpark, SQL, dbt, Airflow, and Databricks. Partner with analytics, product, and engineering teams to support AI adoption and productivity measurement, while mentoring a team of two and driving delivery through ambiguous, cross-functional initiatives.

Build and operate reliable batch and streaming data pipelines, trusted data products, reusable metrics, and feature-ready datasets. Develop SQL/dbt transformations and production-grade Python/PySpark code, orchestrate workflows in Airflow, and implement data quality, governance, lineage, monitoring, and auditability controls. Partner with product, engineering, finance, and analytics stakeholders on experimentation and AI adoption measurement. Contribute to engineering standards, observability, documentation, incident response, code reviews, and peer mentoring.

Design, develop, test, deploy, and maintain scalable software solutions supporting critical business operations. Collaborate with product, architecture, and operations teams; troubleshoot technical issues; participate in code reviews, documentation, and agile ceremonies; and support CI/CD pipelines. Apply enterprise-authorized AI-assisted development tools responsibly to improve engineering productivity while validating security, quality, and performance. Required experience includes 3+ years of software engineering, programming, testing, version control, cloud platforms, and distributed systems.

Owns execution and outcomes for the Chief Customer Officer’s strategic portfolio, including go-to-market transformation, retention and renewal programs, product feedback loops, and executive account engagement. Converts executive direction into structured workstreams, coordinates senior cross-functional stakeholders, monitors program health and business metrics, escalates risks, drives accountability, and recommends scope or prioritization changes. The role also establishes operating standards for a growing programs function in a globally distributed environment.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.

Leads cross-team backend initiatives and technical architecture for GitLab’s Core DevOps platform. Responsibilities include modernizing a monolith, establishing service, API, data, security, testing, and observability standards, guiding Go and Kubernetes practices, supporting Rust adoption, participating in incident response, mentoring engineers, reducing technical debt, and advancing AI-assisted engineering workflows.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Lead product vision and roadmap for agentic AI across GTM applications. Partner with engineering, data, and business teams to identify AI opportunities in Lead-to-Cash and Customer Success, define epics/user stories, prioritize backlog, set AI KPIs, and drive adoption of LLMs, autonomous agents, and responsible AI practices to deliver automation-first GTM workflows.

Own end-to-end sourcing and procurement activities, including RFx processes, spend analysis, benchmarking, bid evaluations, and vendor recommendations. Manage Claims vendor relationships, performance scorecards, stewardship meetings, escalations, onboarding documentation, contract compliance, and billing reviews. Support negotiations, cost optimization, audit coordination, and defense counsel panel oversight while producing accurate, leadership-ready outputs independently.

Own the full-cycle commercial B2B SaaS sales process, from prospecting and pipeline generation through closing new business. Build territory and account strategies, conduct consultative discovery, deliver tailored software demonstrations, manage qualification and forecasting, and engage executive stakeholders. The role requires quota attainment, self-sourced pipeline generation, strong communication, and experience selling in startup or growth-stage environments. Familiarity with MEDDPICC, MEDDICC, SPICED, or similar sales methodologies is preferred.

Leads complex, cross-functional Customer Success programs from strategy through execution and operational adoption. Establishes governance, charters, metrics, milestones, accountability, and risk management across Professional Services, Technical Success, and Support. Uses data-driven analysis to assess program health, guide course corrections, and provide executive-ready reporting. The role also supports AI-driven solutions and enterprise software implementation in a remote Customer Success PMO environment.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Lead the global partnership with Accenture, drive revenue growth, and develop joint offerings while managing key relationships within GSI partners.

Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.

Owns go-to-market readiness for product launches, pricing and packaging changes, migrations, deprecations, and route-to-market changes. Translates product decisions into commercial and operational requirements, coordinates cross-functional teams, validates end-to-end customer and seller workflows, manages launch risks, and improves readiness processes through reusable frameworks and automation.

Configure and enhance SAP reporting solutions for the OneGL finance environment, supporting financial close processes. Analyze business requirements, develop CDS views and reports, document architecture, coordinate module dependencies, create test scripts, investigate defects, and support implementation, cutover, training, and production users. Collaborate with technical and business stakeholders across internal and offshore teams while establishing global reporting standards and improving SAP finance processes.

Own product delivery for an insurance agent quoting and binding experience. Translate business and user needs into requirements, user stories, and acceptance criteria; prioritize the backlog; facilitate Scrum team and stakeholder discussions; manage trade-offs; and partner with Engineering, Design, Product, Underwriting, and business teams from concept through delivery. Communicate roadmap, progress, risks, and decisions while driving continuous improvement and an intuitive agent experience.

Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverage, and converts prospects into policyholders. The role includes paid licensing and sales training, customer communication, lead conversion, and representing the Liberty Mutual brand. Employees work remotely, follow assigned weekday and weekend schedules, maintain a professional home workspace, and meet internet requirements. A Property and Casualty license is required after hire.