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Engagement Manager

Training Superintelligence· Enterprise AI Engineering
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Dallas, TXfull-timePosted 5d ago

About the role

Engagement Manager responsible for end-to-end client delivery in regulated enterprise settings within BFSI, leading a pod of Forward Deployed Engineers, owning scope, timeline, margin, and expansion from signed SOW through production deployment, adoption, and renewal.

Responsibilities

  • Be the trusted counterpart to client sponsors from working teams to managing directors and C-suite. Own the steering committee, the executive updates, and the hard conversations.
  • Understand the client's business, org, and politics well enough to anticipate what they need before they ask, and to know which stakeholders can stall or accelerate an initiative.
  • Navigate regulated-enterprise complexity as part of the plan, not a surprise at go-live: model risk management, information security review, data residency, procurement, legal, and Responsible AI requirements.
  • Protect the relationship through delivery problems. Bring bad news early, with a plan.
  • Own engagements end to end. Structure SOWs with clear scope, milestones, dependencies, acceptance criteria, and a value hypothesis before signature.
  • Run the engagement: cadence, staffing, risk and dependency management, decision logs, client communications. Make real-time calls on scope and priority to protect the critical path.
  • Hold the standard that success is adoption and measured impact, not "delivered on time." Define the baseline and KPIs up front and report against them.
  • Set the quality bar with your engineering lead: production readiness, evaluation of model-backed components, and acceptance testing are part of "done."
  • Own the engagement P&L against TI's revenue and margin targets. Manage staffing mix, utilization, change orders, and scope creep to protect gross margin. Forecast accurately and flag variance early.
  • Identify and shape expansion: new use cases, adjacent business units, follow-on SOWs, renewals. Partner with the BFSI GM, who owns the account relationship and revenue number, to convert them.
  • Report value delivered, risks, and key decisions to client sponsors and TI leadership on a fixed cadence.
  • Lead a pod of FDEs and delivery staff. Set direction, unblock, and hold the bar on client-facing professionalism and delivery discipline.
  • Partner with your technical lead on architecture and staffing decisions; own the outcome even where you don't own the design.
  • Codify what works into reusable BFSI delivery playbooks, estimation models, and SOW patterns.

Qualifications

  • Collaborative Engagement Manager with sound leadership instincts, a team player who keeps teams motivated under delivery pressure and leads by example, serving as a role model in work ethic, accountability, and client commitment.
  • 8+ years in client-facing delivery or consulting, with at least 3 years leading engagements or accounts for financial services clients (banking, capital markets, asset management, insurance, or payments).
  • Track record of owning engagement or account financials: margin, forecasting, staffing, change orders, renewals.
  • You have led at least one AI, ML, or data-platform program into production at an enterprise and can speak to what the client changed as a result.
  • Executive presence and relationship depth: you have run steering committees, managed MD-level sponsors, and retained accounts through difficult periods.
  • Technical fluency: you can read an architecture diagram, understand how an LLM-based system is built and evaluated, and ask the questions that expose weak plans. You do not need to code.
  • Based in the New York metro area and able to be onsite with clients several days per week.

Skills

Required:Client relationship managementEngagement leadershipP&L management
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Training Superintelligence

Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.

Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
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