Top Tech Jobs & Startup Jobs

Coordinate complex interviews, candidate communications, onsite logistics, and recruiting systems across multiple searches. Partner with recruiters, hiring managers, and interviewers to maintain efficient hiring processes and a high-touch candidate experience. Identify scheduling conflicts and process issues, improve workflows and templates, and support onboarding, recruiting events, and employee experience initiatives.

The Analytics Engineer will analyze sales proof-of-concepts and self-service trials, support growth and product-led sales initiatives, and evaluate pricing and monetization strategies. The role partners cross-functionally, models data in dbt, maintains data warehouses and ELT pipelines, experiments with emerging data and AI tools, and trains teammates on effective data workspace practices.

Own and scale recruiting infrastructure, including the ATS, sourcing, scheduling, assessment tools, workflows, integrations, analytics, and automation. Build trusted recruiting dashboards and forecasting processes, improve data hygiene, lead AI and workflow experiments, and establish operating rhythms. Partner with Finance, People, Data, recruiters, and hiring managers on headcount planning and adoption. Lead interviewer training and structured interview programs while protecting candidate experience through strong communication, scheduling, and feedback processes.

Partner with sales to lead technical evaluations for enterprise prospects: run demos, proofs-of-concept, architecture and security reviews, and drive deployments. Advise stakeholders from data teams to C-level, inform product roadmap with prospect feedback, create demo content, and occasionally travel for on-site demos and events.

Build enterprise-grade authentication, authorization, and identity features across the full stack. Design and implement RBAC, provisioning (SCIM), SSO/OAuth integrations, secure public APIs, and admin workflows for auditing and compliance. Own end-to-end product changes, collaborate on architecture, and mentor engineers to deliver scalable, reliable systems for enterprise customers.

Lead development of AI-powered features and scalable agent infrastructure for Hex. Partner with Research on model prompting, build experimentation tooling, and deliver performant full‑stack user experiences using web and backend systems. Mentor engineers and drive major product initiatives.

Lead the design and experience for Hex's web surfaces, establish visual standards, collaborate with engineering, and mentor a design team.

Build full-stack features for the Curator team: observability tools, AI context systems, governance workflows, SQL compilation and semantic model work, and intuitive front-end UX. Work across React, TypeScript, Python, and modern data warehouses to ensure reliable, trustworthy AI-driven answers.

Lead top-of-funnel technical sourcing for engineering, AI, infra, product, and design roles using AI-driven tools and automation. Build repeatable pipelines, map talent pools, design personalized AI-assisted outreach, A/B test messaging, track conversion metrics, and partner with recruiters and hiring managers to calibrate searches.

The Engineering Director leads multiple teams for Hex's AI context platform, driving technical strategy, talent recruitment, and team development.