Hi Marley Offices

Hi Marley is headquartered in Boston.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We thrive on teamwork and shared enthusiasm, which is why we are in the office for two days each week.

Typical time on-site: 2 days a week

U.S. Office Locations

HQ

Boston

10 Post Office Square, Boston, MA, United States, 02109

Recently posted jobs

22 Hours AgoSaved
Easy Apply
Hybrid
Boston, MA, USA
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Artificial Intelligence • Cloud • Insurance • Software • Database • Conversational AI • Generative AI
Leads and scales Hi Marley’s analytics function, managing analysts and hiring as the team grows. Establishes trusted company metrics, self-service analytics, standards, and an analytics roadmap. Partners with Product, Customer Success, Growth, Marketing, Finance, and Data Engineering on product, customer, revenue, financial, billing, marketing, experimentation, and utilization analysis. Develops people, communicates insights to executives, and drives data-informed decisions across the organization.
8 Days AgoSaved
Easy Apply
Hybrid
Boston, MA, USA
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Artificial Intelligence • Cloud • Insurance • Software • Database • Conversational AI • Generative AI
Design platform features, complex configuration workflows, and data-heavy interfaces for carrier administrators. Create user flows, visual designs, prototypes, and reusable design-system components while collaborating with Product and Engineering. Conduct usability testing, address accessibility and edge cases, and contribute to coded prototypes as front-end skills develop.
11 Days AgoSaved
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
Artificial Intelligence • Cloud • Insurance • Software • Database • Conversational AI • Generative AI
Own customer security reviews, questionnaires, RFP responses, and due-diligence requests. Support SOC 2 Type II and ISO audits by coordinating evidence, auditor interactions, and remediation. Maintain security, privacy, and AI governance policies and controls, including frameworks such as ISO/IEC 42001 and NIST AI RMF. Partner with Product, Engineering, DevOps, Security, Sales, and Legal to explain cloud controls, manage customer trust requirements, and address control gaps.