Deployment Strategist, Agentic Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the daily execution of agentic engineering initiatives at designated portfolio companies, from discovery and scope definition to build, rollout, measurement, and handoff.

• Lead the discovery process through data requests, software development lifecycle (SDLC) and product development interviews, as well as use case workshops.

• Convert pain points into clearly defined use cases that include success criteria, baselines, owners, and phase-gate requirements.

• Collaborate with Senior Forward Deployed Engineers to outline build requirements and sequence technical tasks in line with business priorities.

• Establish and uphold engagement measurement metrics, which encompass definitions, calculation logic, baselines, control groups, and efficiency models.

• Oversee program cadence, maintain trackers, manage milestones, risks, blockers, and decisions, while producing status updates and executive materials.

• Work alongside portfolio company engineers and product leaders to pilot and implement agentic development tools.

• Prototype, script, and analyze data directly when it enhances the work being done.

• Coordinate efforts across Vista, portfolio company teams, tool vendors, and external delivery partners.

• Facilitate change management and enablement through effective communication, training, and adoption checkpoints.

• Assist in the evaluation of AI engineering platforms and harnesses in relation to technical, security, and organizational constraints.

• Highlight decisions, trade-offs, and data discrepancies, and escalate issues with clear recommendations.

• Document engagement lessons and contribute to the development of reusable playbooks, templates, data request lists, and diagnostic kits.

⛳️ Requirements

• 2 to 5 years of experience in consulting, product management, technical program management, implementation, or operational roles, ideally within the software or technology sectors.

• Proven track record of managing a complex, multi-stakeholder program with unclear requirements, taking accountability for delivery rather than merely providing advice.

• Familiarity with the software development lifecycle, including source control, CI/CD, issue tracking, and engineering productivity metrics like cycle time and deployment frequency.

• Practical experience using AI development tools such as Claude Code, Cursor, or Codex.

• Strong quantitative abilities, including the development and rigorous testing of metrics and models while clearly stating assumptions and limitations.

• Excellent communication skills, capable of engaging effectively with product management, engineering teams, and senior executives, both in writing and verbally.

• Comfortable tackling open-ended problems, maintaining a low ego, and prioritizing outcomes over personal credit.

• Willingness to travel up to 50% of the time.

• Preferred experience includes knowledge of developer productivity measurement, change management, agent frameworks like LangGraph, system integrators, or private equity operating environments.

🏝️ Benefits

• Annual cash bonus.

• Comprehensive benefits package.

• Opportunity to engage with multiple portfolio companies and senior executives.

• Career advancement opportunities across operating, forward deployed, product, strategy, or investing roles.