Top Tech Jobs & Startup Jobs

Lead an enterprise customer success team across Southern Europe and DACH, driving adoption, value realization, renewals, expansion, and churn reduction. Build scalable customer journey processes, playbooks, and early-warning systems; coach and develop talent; deepen strategic customer relationships; collaborate with GTM, Product, and Engineering; and establish feedback loops that translate customer insights into product and service improvements.

Lead Harvey’s enterprise sales expansion in Singapore and Southeast Asia. Establish the regional sales presence, recruit and coach Account Executives, own pipeline, forecasting, revenue targets, and daily team operations, and develop the local sales playbook. Build relationships with law firms, in-house legal teams, and professional services organizations while collaborating with Product, Marketing, Legal Engineering, and Customer Success to deliver solutions for regional clients.

Own the architecture and technical direction of Harvey’s central data platform. Build ingestion across streaming, batch, CDC, and connectors; operate Snowflake warehousing and orchestration; create transformation, compute, and self-service frameworks; and develop real-time processing. Establish data quality, observability, lineage, governance, PII protection, access controls, and multi-region residency. Mentor engineers, define standards, and collaborate across Analytics, Data Engineering, Product, and Infrastructure.

Own the architecture and technical direction of Harvey’s central data platform. Build ingestion, CDC, streaming and batch pipelines into Snowflake; operate orchestration and transformation frameworks; create self-service tooling; and develop real-time processing, quality, observability, lineage, governance, PII protection, and multi-region residency capabilities. Establish technical standards, mentor engineers, and collaborate across Analytics, Data Engineering, Product, and Infrastructure.

Build relationships with Korean law firms and in-house legal teams, lead onboarding and AI training, drive platform adoption, identify expansion and renewal opportunities, surface user feedback, and translate Korean legal practice needs into product improvements and customer-facing content.

Build and lead Harvey’s central data platform, including streaming and batch ingestion, CDC, Snowflake warehousing, orchestration, transformation frameworks, real-time processing, self-service tooling, and data quality, lineage, and governance. Establish secure patterns for PII, access control, retention, and multi-region data residency while setting technical direction and mentoring a growing team.

Build and lead Harvey’s central data platform, including streaming and batch ingestion, CDC, Snowflake warehousing, orchestration, transformations, real-time processing, and self-service tooling. Establish data quality, observability, lineage, governance, PII protection, access controls, and multi-region data residency. Own architecture and technical direction while setting standards, mentoring engineers, and partnering with Analytics, Data Engineering, Product, and Infrastructure teams.

Own renewals, expansions, retention, and adoption across a high-volume enterprise account portfolio. Lead scaled customer engagements, QBRs, value reviews, and enablement sessions; monitor customer health and adoption data to identify churn risks; advise customers on integrating AI solutions into workflows; and collaborate with Sales, Product, and Legal Engineering on customer insights, roadmap influence, and scalable success processes.

Build and lead Harvey’s Dublin-based Enterprise Application Engineering and AI Enablement teams. The role combines hiring and team development with hands-on system design, coding, integrations, code review, and production support. It owns internal applications, automations, SaaS integrations, reliability, security, and lifecycle management. The manager will apply AI agents to business workflows, establish engineering standards, partner with business stakeholders, make build-versus-buy decisions, and anchor BizTech engineering across EMEA.

Administer and scale go-to-market and customer success systems across Salesforce, Zendesk, enrichment platforms, and marketing automation. Build lead sourcing, enrichment, scoring, routing, support workflows, automations, integrations, dashboards, and data-quality processes. Use AI agents and workflows to reduce manual administration and improve pipeline conversion, support performance, and customer retention. Partner cross-functionally with Sales, Marketing, Support, Customer Success, and Operations while documenting scalable system architecture and processes.