Top Remote Jobs

Lead end-to-end performance of customer-facing conversational AI and knowledge base. Design, test, and optimize AI conversations, define intents and success metrics, analyze KPIs, maintain enterprise knowledge, run continuous improvement using analytics and experimentation, and partner cross-functionally to improve CX and business outcomes.

Build and scale backend product features and cloud services supporting distributed systems, AI agent workflows, high-performance APIs, and large-scale data processing. Responsibilities include designing reliable, fault-tolerant, highly available services; developing tool-calling APIs, workflow orchestration, observability, and production guardrails; meeting service-level commitments; and collaborating through code reviews and knowledge sharing.

Principal Data Analyst responsible for driving data-informed business strategy, leading end-to-end analysis, and building analytics foundations for a new product. The role includes designing data capture and pipelines, creating reporting-ready datasets, supporting governance and privacy, conducting statistical analysis, segmenting clients, partnering with product and engineering, communicating insights to executives, and mentoring analysts. The analyst will also use AI to improve effectiveness and establish reliable data sources.

Own a mixed portfolio of grocery retailer accounts, managing onboarding, retention, expansion, account health, and long-term partnerships. Deliver data-driven account reviews, interpret performance data, identify churn risks, and tailor high-touch or scaled engagement models by account value. Collaborate with analytics, product, marketing, and operations teams to improve retailer outcomes. The role also requires public speaking, project management, creative problem-solving, and travel of up to 20%.

Leads revenue process standardization, Salesforce-centered technology strategy, data governance, reporting, AI adoption, and automation across sales, marketing, and customer success. Owns the GTM technology roadmap, improves funnel workflows, establishes process and data standards, evaluates revenue technologies, and drives user adoption through training and change management. Partners with technical and business teams to implement scalable, secure, AI-enabled revenue operations.

Owns the design, implementation, and operation of third-party integrations, public APIs, SDKs, and internal connectors. Builds resilient event-driven systems using Node.js, TypeScript, PostgreSQL, Kafka, Redis, and Kubernetes. Responsibilities include system design, performance optimization, production incident response, legacy-code refactoring, API versioning, monitoring, technical leadership, mentoring, and cross-functional collaboration.

Own the end-to-end strategy, discovery, prioritization, development, and delivery of data products, algorithms, and AI-powered solutions. Partner with engineering, machine learning, analytics, customers, and marketing teams to identify unmet needs, define roadmaps, establish metrics, and ship scalable products. The role requires hands-on technical work, customer empathy, strong product judgment, and the ability to balance near-term outcomes with long-term vision in an ambiguous, high-growth environment.

Lead partner marketing strategy and execution for Channel and Audit partners across AMER. Develop joint go-to-market plans, campaigns, events, webinars, demand-generation programs, and MDF investments that generate qualified pipeline. Build partner relationships, optimize campaigns using performance data, establish scalable marketing processes, and coordinate cross-functionally with sales, business development, field marketing, demand generation, product marketing, and marketing operations.

Own complex performance challenges across the Weights & Biases platform and infrastructure. Design scalability and latency experiments, build benchmarking and load-testing frameworks, prevent performance regressions, and integrate measurement into CI/CD. Collaborate with product, infrastructure, and SRE teams to analyze system behavior, develop scalable architectures, and enable engineers through tools, processes, and data-driven performance improvements.

Own the end-to-end participant-facing product experience across web, native mobile, and Chrome extension surfaces. Define product vision, design high-fidelity interfaces, govern design systems, partner with product and engineering, and identify usability and growth opportunities. The role requires strong interaction and visual design, systems thinking, technical fluency, AI-native workflows, and direct ownership from discovery through launch and iteration.