Top Tech Jobs & Startup Jobs

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Lead the strategy, roadmap, and development of an agentic marketing product for service businesses. Manage a cross-functional product, design, and engineering pod; conduct user research; ship features; drive adoption; measure performance through analytics and experimentation; and communicate progress across the organization. Partner with sales, marketing, customer success, and leadership to deliver customer and business impact.

Design and manage CAD models, revisions, and bills of materials for physical products manufactured in-house. Develop prototypes, apply design-for-manufacturing expertise, and support the transition from rapid development to production. Collaborate with hardware, robotics, software, and field operations teams while improving engineering collaboration and CAD standards.

Support C-suite executives with comprehensive calendar, meeting, event, travel, visa, expense, and credit-card coordination. Manage logistics, agendas, communications, expense reconciliation, and confidential information while anticipating executive needs. Create efficient workflows using AI and automation tools, adapt to changing priorities, and provide backup support to other executive assistants.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.

Owns the full lifecycle of technology and vendor agreements, including AI, SaaS, cloud, professional services, consulting, and data contracts. Negotiates buy-side transactions, manages contract pipelines, develops procurement legal playbooks and self-service resources, and advises cross-functional stakeholders on legal, privacy, security, and data risks. Partners with procurement, finance, engineering, security, product, privacy, and people operations to enable efficient, scalable technology purchasing.

The Customer Success Manager will manage 25-40 accounts, focusing on onboarding, upselling, and ensuring customer satisfaction with a technical healthcare product.

Manage and grow a portfolio of mid-size and enterprise advertising measurement clients through adoption, renewals, expansions, business reviews, and ROI realization. Lead pricing, scoping, negotiations, and deal operations while partnering with Sales, Services, Product, Marketing, Support, and Onboarding. Use brand lift expertise to guide measurement strategies, mitigate churn, identify product improvements, and develop customer success plans, case studies, and engagement campaigns.

The Analytics Manager investigates business questions, delivers actionable insights, maintains data models and Looker dashboards, and communicates findings through presentations and visualizations. The role develops testing frameworks, subscription unit-economic models, marketing attribution, retention and cohort forecasts, and customer segmentation. It also partners with Product and Engineering to improve application tracking and customer behavior visibility.

Lead the Claude Corps talent and people operations pod, managing early-talent recruiters and HR coordinators. Own high-volume screening and selection, employer-of-record employment lifecycle processes, onboarding, payroll, benefits, compliance, employee relations, and performance issues. Build scalable, AI-assisted recruiting and HR workflows, manage multi-state employment operations, improve efficiency, and grow team capabilities as fellowship cohorts expand.