Top Tech Jobs & Startup Jobs

Design and maintain presentation and customer-facing asset systems, including templates, guidelines, sales materials, PDFs, diagrams, charts, and infographics. Translate complex technology topics into clear, persuasive visual narratives while ensuring brand consistency across high-volume materials. Collaborate with teams, defend design decisions, incorporate feedback, and deliver quickly. Preferred skills include writing, editing, animation, video, Premiere Pro, and After Effects.

Leads compensation programs, including salary structures, job classification, market pricing, pay equity analysis, merit and bonus cycles, financial modeling, reporting, policy development, and HRIS data integrity. Partners with senior HR and Finance leaders, presents compensation recommendations, develops training, ensures regulatory alignment, and improves or automates compensation workflows. The role requires progressive compensation experience, advanced spreadsheet and reporting skills, and strong knowledge of compensation systems.

Leads compensation programs, including salary structures, job classification, market pricing, pay equity analysis, merit and bonus cycles, financial modeling, policies, reporting, and HRIS data integrity. Partners with senior HR and Finance leaders, presents compensation recommendations, develops stakeholder training, interprets regulatory changes, and drives workflow standardization and automation.

Own end-to-end infrastructure delivery for strategic physical AI customers, from discovery and architecture through production rollout. Build cloud compute orchestration, platform services, onboarding environments, observability, security, and cost controls for simulation, training, inference, and batch workloads. Debug across infrastructure layers, productize recurring customer needs, and shape the physical AI platform roadmap. Partner with customers, Field CTO, Product, and Engineering while using AI coding tools to accelerate production engineering.

Own the enterprise product roadmap and platform capabilities for Tavily’s API, including identity, permissions, quotas, spend controls, observability, audit, policy enforcement, and data residency. Partner with enterprise customers, sales, customer success, and engineering to identify scalable product needs, prioritize roadmap investments, support technical buyers, and enable enterprise adoption. This senior individual contributor role requires strong expertise in developer-facing APIs, enterprise platforms, AI agents, and technical product management.

Own the complete lifecycle of enterprise SaaS applications, including evaluation, procurement, deployment, optimization, renewals, and retirement. Manage platforms such as Slack, Zoom, Miro, Atlassian, Microsoft 365, and DocuSign while overseeing vendor relationships, contracts, licensing, security, compliance, AI governance, disaster recovery, and business continuity. Lead cross-functional initiatives, improve automation and operational processes, and establish reliable support, documentation, and governance frameworks across the enterprise.

Design, build, and operate low-latency, high-throughput runtime services for an agentic search engine. Responsibilities include query processing, retrieval orchestration, response assembly, performance optimization, observability, reliability, benchmarking, and production operations. The engineer will collaborate with indexing, machine learning, and product teams while supporting controlled rollouts and scalable systems handling thousands of requests per second.

Design, train, deploy, and optimize machine learning models for retrieval, reranking, indexing, crawling, and content understanding in a large-scale agent-native search platform. Build evaluation frameworks, define quality metrics, integrate models into production services, and optimize latency, quality, and cost across high-throughput workloads. Collaborate with engineering and product teams while applying advanced search, retrieval, and LLM techniques.

Design, build, and operate internet-scale crawling and content acquisition infrastructure. Responsibilities include distributed crawling, URL discovery, scheduling, deduplication, content extraction, ingestion pipelines, observability, freshness optimization, and high-throughput reliability. Collaborate with indexing and machine learning teams to support retrieval and ranking systems while managing resource usage, bandwidth, and infrastructure costs.

Design, implement, and operate large-scale indexing systems and offline or nearline data pipelines for an agentic search platform. Build storage formats, compaction strategies, update mechanisms, observability, and reliability features for high-throughput, petabyte-scale datasets. Optimize freshness, performance, resource usage, and cost while collaborating with runtime and machine learning teams to support retrieval and ranking requirements.