Jobs at Case IQ

Identify, prospect, and qualify target accounts through inbound and outbound outreach. Conduct discovery conversations, convert qualified prospects into Account Executive meetings, maintain accurate Salesforce records, nurture leads, and collaborate with Marketing and Sales teams. Meet activity, conversion, and pipeline targets while developing expertise in Case IQ’s GRC products, customer personas, and competitive positioning.

Lead architecture and technical direction for scalable SaaS platform capabilities. Build distributed services, APIs, event-driven systems, and AI-enabled features using LLMs, retrieval, orchestration, and evaluation pipelines. Establish secure, reliable cloud infrastructure and agentic software development practices. Drive architecture reviews, testing, observability, CI/CD quality, and production readiness while mentoring engineers and leading complex cross-functional initiatives.

Lead architecture and technical direction for scalable SaaS platform capabilities, including APIs, distributed services, data flows, and AI-enabled features. Establish responsible AI and agentic engineering practices, evaluation and guardrail systems, production-readiness standards, secure-by-design controls, testing, CI/CD, observability, and reliability practices. Drive complex cross-functional initiatives, mentor engineers, conduct architecture and code reviews, and shape technical roadmaps and engineering standards.

Lead end-to-end implementations of investigative case management SaaS solutions, serving as the primary customer contact from contract signing through launch and early adoption. Responsibilities include project management, requirements gathering, product configuration, integrations, data migration, user training, risk management, stakeholder communication, and post-launch improvement. The role collaborates with Product, Engineering, and Support while analyzing customer outcomes and refining scalable implementation processes.

Lead end-to-end customer implementations for investigative case management SaaS solutions. Manage concurrent projects, gather requirements, configure products and integrations, oversee data migrations, deliver training, support adoption, identify risks, and coordinate with Product, Engineering, and Support. The role also analyzes implementation outcomes, improves delivery processes, and serves as a trusted customer advisor.

Build and operate AI agents, automations, integrations, data pipelines, internal applications, dashboards, and GTM systems across a B2B SaaS organization. Partner with cross-functional teams to translate operational needs into secure, scalable technical solutions, improve reporting and decision-making, and replace manual workflows. Own deployment, monitoring, documentation, enablement, and a roadmap of automation and business operations initiatives.

Own the full enterprise sales cycle across EMEA, from outbound prospecting and discovery through negotiation and contract signature. Build pipeline, engage executive stakeholders, navigate complex buying committees, deliver tailored demonstrations, develop account and close plans, maintain accurate Salesforce records, forecast reliably, and achieve revenue targets. The role requires consultative, value-based selling of GRC software to large organizations.

Manage and optimize multi-cloud infrastructure across Azure and AWS, including containerized services, databases, gateways, monitoring, and serverless systems. Build CI/CD pipelines and infrastructure-as-code automation using Terraform and CDK. Improve platform performance, scalability, observability, security, compliance, and cost efficiency. Collaborate with Development and QA on automated testing and deployments, respond to incidents, and advance AI-enabled operational practices such as AIOps and agentic SDLC workflows.

Provide full-stack support and development for a B2B SaaS product: troubleshoot and resolve customer issues, modify data and SQL structures, debug and test fixes, manage GitHub branches, deploy via Linux/Docker, and communicate with customers to meet SLAs while contributing to product improvements and documentation.