AI Strategist

FlowGen Labs•San Francisco, CA

19h•Onsite

About The Position

The AI Strategist owns the business outcomes of FlowGen’s most important enterprise deployments. In close partnership with a Forward Deployed Engineer, the role embeds with customer finance, operations, and technology teams to understand how work operates across complex SAP environments. The strategist identifies high-value workflows for autonomous agents, defines success measures, aligns stakeholders, and leads engagements from discovery through production adoption and expansion. This is a hands-on, forward-deployed role focused on delivering measurable business impact. The AI Strategist builds trust with executives and frontline users, creates structure from ambiguity, translates operational complexity into executable deployment plans, and remains accountable through implementation and outcome measurement.

Requirements

Exceptional problem-solving ability, including the ability to enter unfamiliar environments, ask incisive questions, identify constraints, and turn ambiguous problems into concrete plans.
Strong business judgment and ability to distinguish promising AI use cases from workflows likely to create material operational value.
Ability to move between executive strategy and operational detail.
Excellent written and verbal communication, with credibility to challenge assumptions and align business and technical stakeholders.
Strong analytical instincts and comfort working with messy enterprise data.
Practical fluency with AI systems and agentic workflows, including understanding where probabilistic systems can create leverage, where deterministic controls are needed, and where human oversight is essential.
Willingness to travel regularly as required by customer engagements.

Nice To Haves

Experience with SQL, Python, spreadsheets, or business intelligence tools.
Experience with SAP, enterprise finance, supply chain, procurement, order management, or other operational workflows.

Responsibilities

Own customer engagements from initial discovery through deployment, adoption, measurement, and expansion.
Develop a detailed understanding of customer workflows, including process steps, decisions, exceptions, controls, data sources, failure modes, and manual workarounds.
Identify and prioritize workflows based on business value, technical feasibility, data readiness, operational risk, and organizational readiness.
Define measurable deployment outcomes, such as cycle-time reduction, touchless processing rate, error reduction, SLA attainment, working-capital improvement, and support-cost reduction.
Lead working sessions with executives, process owners, SAP teams, IT, security, compliance, and frontline users.
Identify opportunities to expand automation to adjacent workflows or deliver greater enterprise-wide value.