Strategic AI Partnerships Lead

FlowGen Labs•San Francisco, CA

1d•$300,000 - $450,000•Hybrid

About The Position

FlowGen Labs is hiring a Strategic AI Partnerships Lead to build and grow important enterprise relationships from initial conversations through contract signing, successful deployments, and expansion. The role combines enterprise account ownership, AI strategy, and engagement leadership. The lead identifies new customers, develops executive relationships and business cases, closes strategic deals, and remains accountable for deployment scope, customer adoption, and measurable business impact. Working closely with the founders, Forward Deployed Engineers, and product team, the Strategic AI Partnerships Lead turns complex finance and operations problems into AI programs customers trust and use. This is a hands-on role spanning executive discussions, commercial negotiations, and working sessions with process owners. The role owns enterprise accounts end to end, including revenue, delivery, customer outcomes, retention, and expansion. The position is hybrid and based in the US, with regular customer travel across the US and Europe as required by engagements. Visa support and sponsorship are available. Compensation is $300,000–$450,000 annual on-target earnings, comprising base salary and performance-based variable compensation, plus equity.

Requirements

At least 7 years in enterprise software sales, strategic partnerships, management consulting, or enterprise transformation, with demonstrated ownership of commercial growth and customer delivery.
Track record of originating and winning new enterprise business, including personally helping source, shape, negotiate, and close deals and explaining the outcomes delivered afterward.
Experience leading complex customer engagements with multiple business and technical stakeholders; Fortune 500 or Global 2000 experience is preferred in the posting as an ideal background.
Strong executive presence and analytical judgment, including the ability to turn ambiguous operational problems into quantified business cases and executable deployment plans.
Practical fluency with AI, automation, and enterprise software, including the ability to discuss agentic workflows, integrations, data readiness, reliability, and human oversight with technical teams and explain their business implications.
Ability to manage parallel workstreams, surface risks early, hold owners accountable, and build customer trust through consistent follow-through.
Comfort working in an early-stage environment, directly pursuing opportunities while building scalable processes and team practices.

Nice To Haves

Familiarity with SAP, ERP, finance operations, supply chain, procurement, or order management.
Curiosity and ability to develop deep domain expertise.

Responsibilities

Own a portfolio of enterprise accounts end to end, including new revenue, successful delivery, customer outcomes, retention, and expansion.
Generate new opportunities through account research, direct outreach, executive relationships, referrals, and industry events, and build a repeatable enterprise pipeline.
Develop strategic partnerships with technology providers, systems integrators, and industry networks to create introductions and joint opportunities.
Lead discovery with finance, operations, and technology teams to understand processes, exceptions, controls, data sources, and manual workarounds, and prioritize AI workflows based on value, feasibility, and readiness.
Run the full sales cycle, including qualification, solution development, proposals, pricing, procurement, security review, negotiation, and close; build executive sponsorship and business cases for six-figure and above ACV deals.
Align customers and internal teams on scope, success metrics, milestones, resources, and acceptance criteria before making commitments; confirm solution feasibility and delivery plans with engineering.
Lead customer engagements through implementation and production adoption, coordinating Forward Deployed Engineers, AI strategists, product teams, and customer stakeholders while managing dependencies, risks, scope changes, and executive communication.
Remain accountable until deployments deliver measurable results; track outcomes such as cycle-time reduction, touchless processing, error reduction, working-capital improvement, and support-cost reduction, and drive action when results fall short.
Build relationships with executives and frontline users; lead business reviews, resolve escalations, and convert successful deployments into renewals, references, and expansion.
Maintain account plans, accurate forecasts, and disciplined CRM records.
Partner with founders to refine positioning and sales and delivery playbooks, and share customer insights with the product roadmap.