Jobs at Rowspace

Own full-cycle recruiting for go-to-market roles across sales, marketing, customer success, and business operations. Source and close candidates through direct outreach, referrals, communities, competitor mapping, and events. Partner with founders to define roles, design interviews, evaluate candidates, manage offers, and build scalable recruiting processes, metrics, and pipelines. The role requires independently managing multiple searches and representing the company’s talent brand.

Own corporate IT and security across employee devices, identity, SaaS, networks, endpoint protection, vulnerability management, incident response, access reviews, and SOC 2 compliance. Build onboarding and offboarding workflows, maintain inventories and controls, coordinate audits and remediation, lead vendor security reviews, respond to customer questionnaires, and partner with Engineering on application and cloud security. Automate operational processes and support safe adoption of AI tools while serving as the primary employee IT and security contact.

Design, build, and secure scalable infrastructure and data ingestion pipelines for an enterprise AI platform handling sensitive financial data. Implement private-cloud, tenant-isolated deployments, access controls, monitoring/alerting, CI/CD, and infrastructure-as-code. Partner with AI research/product teams to optimize for LLM training and inference workloads.

Own post-sale customer relationships for Rowspace: drive onboarding, adoption, expansion, and retention. Translate customer workflows into product feedback, build engagement playbooks, and support sales for expansions.

Founding Enterprise Account Executive responsible for full sales cycle—sourcing, discovery, demos, and closing—while building sales processes, refining ICP, sharing market feedback with product, supporting post-close handoffs, and hiring/mentoring future AEs.

Lead full business development cycle targeting institutional investors, shape GTM strategy, develop account plans, synthesize customer and product signals, drive cross-functional initiatives, and help hire and scale the GTM team.

Lead full-cycle recruiting for technical and non-technical roles: build talent pipelines and processes, source and close candidates, partner with hiring managers to design job descriptions and interview processes, leverage AI and recruiting tools to automate workflows, and help shape employer brand.

Build full-stack product features and ingestion pipelines to convert messy investment data into a unified knowledge engine. Design scalable data models and APIs, ship UI and custom agent workflows, maintain security and reliability for sensitive investment data, engage directly with customers, and create evaluation sets for LLM systems.

Embed with customers to build integrations and data pipelines, debug retrieval quality and LLM performance in production, scope and ship new workflows, partner with deployment managers to drive adoption, and translate customer needs into product improvements and scalable playbooks.

Build and productionize applied AI systems for finance: design retrieval pipelines, knowledge graphs, agentic workflows, evaluation frameworks, and LLM orchestration. Iterate with customer feedback, ensure traceability to sources, and deploy/operate reliable production systems across the stack.