Client Engagement Lead (AI, Pharma & Life Sciences)

Location: New York metro area, United States; hybrid work with onsite client work in NYC several days per week and occasional travel to other client sites.

Base salary + bonus and equity.

Company

hirify.global builds frontier AI datasets, reinforcement learning environments, research benchmarks, and production agentic AI systems for enterprises and AI labs.

What you will do

• Own enterprise engagements from signed SOW through production deployment, adoption, renewal, and expansion.
• Act as the day-to-day executive counterpart for client sponsors, running steering committees, executive updates, and difficult delivery conversations.
• Structure SOWs, manage scope, milestones, dependencies, staffing, risks, decisions, communications, and critical-path priorities.
• Define baselines and KPIs, report measured business impact, and set quality standards for production readiness, model-backed components, evaluation, and acceptance testing.
• Own engagement P&L, forecasting, utilization, staffing mix, change orders, scope control, margin protection, renewals, and expansion opportunities.
• Lead pods of Forward Deployed Engineers and delivery staff while partnering with technical and commercial leaders on architecture, staffing, and account growth.

Requirements

• 8+ years of client-facing delivery or consulting experience, including at least 3 years leading engagements or accounts for financial services clients in banking, capital markets, asset management, insurance, or payments.
• Experience owning engagement or account financials, including margin, forecasting, staffing, change orders, and renewals.
• At least one AI, ML, or data-platform program led into enterprise production, with the ability to explain what the client changed as a result.
• Experience running steering committees, managing MD-level sponsors, and retaining accounts through difficult periods.
• Technical fluency sufficient to read architecture diagrams, understand how LLM-based systems are built and evaluated, and challenge weak plans; coding is not required.
• Collaborative leadership style, strong accountability, client commitment, and the ability to motivate teams under delivery pressure.
• Must be based in the New York metro area and able to work onsite with clients several days per week.

Nice to have

• Engagement management experience at a technology consultancy, systems integrator, or AI-native delivery firm, or delivery leadership experience inside a bank or insurer technology or data organization.
• Familiarity with BFSI regulatory requirements, including model risk management, information security and third-party risk, data privacy, and data residency.
• Experience working in a two-in-a-box model alongside a commercial account owner.

Culture & Benefits

• Two-in-a-box operating model: delivery and engagement growth are owned separately from account relationship and topline revenue.
• Small pods of senior FDEs are staffed against outcomes rather than seats.
• Bias toward shipping, iterative delivery, clarity over process, low ego, and client-first outcomes.
• Opportunity to work on frontier AI research, enterprise AI deployment, expert datasets, reinforcement learning environments, and research benchmarks.
• Base salary, bonus, equity, and collaboration with experienced AI professionals from leading technology companies.

Hiring process

• No specific selection stages or application materials are stated.