Jobs at FlowGen Labs

Own end-to-end enterprise platform deployments, including workflow scoping, agent configuration, integration validation, guardrail setup, evaluation planning, documentation, and production launches. Partner directly with stakeholders in complex SAP environments, translate customer needs into reusable deployment abstractions, and collaborate with the Platform team to improve the product. Apply AI tools to development, testing, data, and support while balancing speed, safety, and reliability.

Work directly with founders to turn company priorities into outcomes. Drive cross-functional initiatives across hiring, customer delivery, go-to-market, and operations; own strategic projects; establish operating cadence; build automation systems using AI tools; resolve emerging problems; and maintain accountability through execution. The role requires strong analytical judgment, financial modeling, communication, discretion, and the ability to align technical and business teams in a fast-growing enterprise AI startup.

Own enterprise accounts from prospecting through close, managing complex sales cycles across finance, operations, IT, SAP, procurement, security, and legal stakeholders. Build business cases for automation and operational efficiency, partner with founders and product teams on strategic opportunities, forecast pipeline, and close six-figure-plus ACV deals. The role requires enterprise software sales experience, technical fluency, startup adaptability, and regular travel across the US and Europe.

Own enterprise AI customer engagements from discovery through deployment, adoption, measurement, and expansion. Analyze SAP-based finance and operations workflows, identify high-value automation opportunities, define measurable outcomes, align executive and technical stakeholders, and guide autonomous agent deployments to measurable business impact. The role combines operational discovery, AI strategy, deployment planning, stakeholder management, and customer expansion.

Define SAP architecture and engineering standards while delivering scalable, secure solutions for customers. Build and modernize SAP systems using ABAP, S/4HANA, RAP, OData, NetWeaver, SAP BTP, CAP, and Fiori. Translate business workflows into reliable systems, support migrations, tune performance, and apply AI tools to development, testing, data, and support. The role requires hands-on technical leadership, customer-facing communication, ownership, and adaptability.

Partner with customers to analyze SAP finance and operations workflows, map processes, define requirements, and translate business rules into reliable AI-agent workflows. Lead workshops, process mapping, deployment planning, validation, and automation discovery across areas including order-to-cash, procure-to-pay, logistics, and finance. Collaborate with engineering, AI, SAP, and customer teams to define controls, exceptions, escalations, and success criteria.

Own named enterprise accounts and lead complex sales cycles from prospecting through close. Build business cases for automation and operational efficiency, coordinate with founders and internal teams, forecast pipeline, and close six-figure-plus ACV deals. The role targets Fortune 500 and Global 2000 companies using SAP and requires executive-level selling across finance, operations, IT, procurement, security, and legal stakeholders.

Define architecture and engineering standards while delivering distributed Node.js services, AI agent workflows, and enterprise SAP integrations. Own solutions end to end, including quality, reliability, observability, retrieval-augmented generation, semantic search, and production infrastructure. Apply AI tools to development, testing, data, and support while making pragmatic decisions and scaling agent-driven enterprise workflows.

Own a zero-to-one AI product and infrastructure for autonomous enterprise workflows in SAP environments. Build agentic systems with verification, reflection, retrieval, prompt pipelines, inference serving, observability, and light fine-tuning. Work directly with customers, shape product strategy and engineering standards, and help establish company culture while shipping quickly and reliably.

Own strategic enterprise accounts from prospecting and executive relationship development through contract negotiation, deployment, adoption, retention, and expansion. Generate new business, build technology partnerships, lead AI workflow discovery, develop quantified business cases, manage complex sales cycles, coordinate implementation teams, and ensure measurable customer outcomes. The role requires strong enterprise sales, delivery leadership, AI and enterprise software fluency, and comfort operating in an early-stage company.