Jobs at Hex

Own the employee experience lifecycle, beginning with onboarding and extending through internal communications, company events, team gatherings, and workplace programs. Lead onboarding redesign, cohort communities, measurement, all-hands storytelling, Slack communication norms, company kickoff planning, QBR support, colo standardization, NYC office buildout, office coordinators, and in-office engagement. Build repeatable systems, use AI and automation, manage partners, and create memorable employee experiences.

Own renewals and expansion for an assigned portfolio of existing SMB and mid-market SaaS customers. Identify upsell opportunities, manage commercial conversations, maintain pipeline and forecast hygiene, and coordinate with Sales Engineering, Customer Engineering, Sales leadership, and account executives. Help establish the company’s expansion sales playbook and territory model as a founding member of the function.

Own renewals and expansion for an SMB and mid-market SaaS customer portfolio. Identify upsell opportunities, manage retention and growth forecasts, conduct commercial conversations, and coordinate technical support with Sales and Customer Engineering. Help establish the account management playbook, territory model, and AE-to-AM handoff process as a founding member of the function.

Lead and build Hex’s western Enterprise Account Executive team. Recruit, hire, onboard, coach, and retain sellers while establishing performance rhythms, improving enterprise deal execution, and managing complex sales cycles. Partner with RevOps, SDR, Marketing, and Product on territory strategy, positioning, lead quality, and sales tooling. Build executive relationships and help shape go-to-market strategy for large organizations. Travel is required as needed for customer meetings, QBRs, and team development.

Product Engineer Intern will build and ship full-stack product features using React, TypeScript, and/or Python. Responsibilities include collaborating with AI engineers on agentic capabilities and prompting, improving workflows and user experiences, optimizing performance, designing APIs, testing, and participating throughout the product development lifecycle. The hybrid role is based in San Francisco and includes collaboration with designers, product managers, and experienced engineers.

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.

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.

As a Customer Engineer at Hex, you'll enhance customer experience by onboarding new clients, advising on data strategies, and fostering long-term success through effective communication and technical guidance.

Build and lead Hex’s technical partner enablement function for SI and consulting partners. Responsibilities include creating certification curricula, workshops, sandbox environments, demo libraries, technical collateral, onboarding programs, trainings, architecture reviews, proof-of-value support, and technical objection handling. The role also channels partner feedback to Product and Engineering, tracks enablement metrics, and supports partner-led pipeline. Travel of approximately 25–30% is required.

Lead and grow a hands-on engineering team building Hex's AI context platform. Drive technical strategy, review designs, contribute code, manage and hire engineers, set technical standards, and improve systems for AI agent behavior, context quality, and human-in-the-loop learning on a data-intensive SaaS product.

As an AI Engineering Lead, you will build and lead a high-performing AI engineering team, define AI engineering functions, and collaborate to enhance product capabilities using cutting-edge AI technologies.

The AI Engineer will focus on building AI experiences, deploying models, and enhancing data workflows, working on greenfield applications. Key responsibilities include feature development, architecture collaboration, and shipping impactful product experiences.

This role involves driving revenue through new business development, managing sales cycles, and collaborating with various teams to meet goals.

The Product Manager will drive the vision for analytical features, work with customers, conduct market research, and collaborate with various teams to deliver impactful product features.