Top Remote Jobs

Lead large, complex projects across matrixed teams, manage full project lifecycle, scope, schedule, budget, risks and vendors, produce status reports, mentor PMs, and ensure information security and data privacy compliance.

Serve as the internal expert on AcuityMD healthcare data products, support commercial teams on complex data questions, and partner with Engineering to build an AI context layer and evaluation framework to measure agentic solution quality and data explainability.

Design, build, and operate the GraphQL API platform that routes high-volume traffic. Deliver end-to-end projects, improve reliability and performance, own SLOs and incident response, mentor engineers, and collaborate with product teams to evolve platform APIs and tooling.

Own architecture and delivery of core ledger and transaction processing systems. Design and build highly available, high-performance backend services, drive cross-team technical initiatives, establish platform standards, mentor engineers, and embed AI to improve operations and workflows.

Own end-to-end product lifecycle for large-scale games: write specs and wireframes, run A/B tests, analyze KPIs, partner with cross-functional teams, translate player feedback into features, and drive feature performance from concept to post-launch.

Lead and scale strategic partner relationships across EMEA with hyperscalers and ISVs (AWS, Google, CrowdStrike). Drive co-sell, marketplace adoption, joint GTM, enablement, pipeline generation, and cross-functional deal execution to achieve joint revenue targets.

Lead renewal analytics and forecasting for direct and channel motions. Build renewal health scoring and predictive models, improve Clari and SFDC processes, surface churn and expansion insights, partner with RevOps/Finance/IT, automate reporting, and present recommendations to senior stakeholders to improve retention and renewal performance.

Lead GitLab's corporate and compliance legal function, advising C-suite and board on governance, securities, SEC reporting, equity compensation, executive compensation, and M&A. Build and manage a remote corporate legal team, implement policies and templates, oversee equity plan administration, manage outside counsel, champion AI-enabled legal workflows, and ensure compliance with public company obligations.

Manage a book of public-sector accounts to drive adoption, retention, and expansion of the GitLab DevSecOps platform. Translate pre-sales plans into measurable objectives, coach customers on Git, CI/CD, and DevSecOps best practices, coordinate cross-functionally for escalations, and use project management to deliver customer enablement and success initiatives.

Senior Software Engineer to design and deliver Golang-based microservices, mentor a small pod, estimate and implement features, produce unit and end-to-end tests, collaborate on design and code reviews, improve SDLC, and apply SRE observability practices while working with cloud-scale data stores such as Snowflake, DynamoDB, and Cassandra.

Lead the DAM product for global marketing: define vision and roadmap, gather customer requirements, prioritize features, coordinate Agile delivery, align stakeholders, measure platform usage, enable rights/licensing and AI integrations, and drive adoption across marketing, agencies and technical teams.

Lead identification, recruitment, and activation of strategic AI and enterprise infrastructure partnerships. Define integrations and joint value propositions, negotiate deals, drive co-selling, and ensure partner adoption through technical validation, joint roadmaps, and measurable metrics. Collaborate cross-functionally with Product, Sales, Pre-Sales, Marketing, and Legal, represent MongoDB at industry events, and deliver measurable top-of-funnel growth.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.