Top Tech Jobs & Startup Jobs

Own territory sales for enterprise (>$500M) customers: prospect, develop account plans, manage full sales cycle, close complex tax/trade software deals, maintain Salesforce CRM, collaborate cross-functionally, meet revenue targets, and travel 25-50% for client meetings.

The Sales Executive in Audit drives client retention and acquisition, achieves sales targets, and leverages audits tools for customer success. They also analyze market intelligence and collaborate with teams for growth.

Design, develop, and productionize AI/ML features and infrastructure. Implement and optimize models, build APIs and microservices, monitor and tune performance, mentor engineers, and support full lifecycle deployment and A/B testing.

Analyze and maintain procedural law content across jurisdictions; draft, review, and update legal calendaring materials; use editorial and publishing systems (including generative AI) to ensure accuracy and timely delivery; research rule amendments, local practices, and filing procedures; adhere to quality standards and publication schedules while collaborating with global teams.

Productionize, optimize, and scale LLM and ML inference across multi-cloud and Kubernetes. Deploy GPU-based workloads, implement routing/failover for model services, reduce latency via quantization/pruning/distillation, profile and tune hardware utilization, and build observability, monitoring, and cloud-native guardrails for enterprise AI services.

Lead security and compliance architecture for CoCounsel, implementing SOC 2, ISO, HIPAA, and FedRAMP controls; build compliance-as-code, data protection (encryption, key management, tenant isolation), IAM, observability, and audit tooling; partner with security, legal, and engineering; mentor teams and ensure production-scale, provable compliance and incident readiness.

Lead technical direction for backend, AI orchestration, and identity systems for CoCounsel. Design authentication/authorization, multi-tenant isolation, large-scale AI workflows, observability, SLOs, and reliability. Partner with product, security, and ML teams; mentor engineers and own end-to-end delivery of production-grade legal AI systems.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Manage a portfolio of government customer accounts to maximize incremental and multi-year sales, forecast and maintain SFDC pipeline, conduct product demonstrations, identify at-risk accounts, execute territory growth strategies with partners, and maintain high customer satisfaction.