Deployment Strategist, Agentic Engineering

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $140k - $165k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🖥 Software Engineer

🚫👨‍🎓 No degree required

Where this job comes from

Posted on Vista Equity Partners's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Vista Equity Partners

Vista Equity Partners

501 - 1000 employees

Founded 2000

💼 Consulting

💸 Finance

🏢 Enterprise

Consulting • Finance • Enterprise

Vista Equity Partners is a leading investment firm that focuses on software, data, and technology-enabled businesses. The firm employs a long-term investment strategy, aiming to create value through operational improvements and strategic growth. Vista is recognized for its expertise in helping portfolio companies enhance their operations and drive innovation in their respective markets.

📋 Description

• Own day-to-day execution of agentic engineering engagements at assigned portfolio companies from discovery and scope definition through build, rollout, measurement, and handoff • Lead discovery through data requests, SDLC and product development interviews, and use case workshops • Translate pain points into scoped use cases with success criteria, baselines, owners, and phase-gate requirements • Partner with Senior Forward Deployed Engineers to define build requirements and sequence technical work against business priorities • Define and maintain engagement measurement, including metric definitions, calculation logic, baselines, control groups, and efficiency models • Run program cadence, maintain the tracker, manage milestones, risks, blockers, and decisions, and produce status updates and executive materials • Work with portfolio company engineers and product leaders to pilot and roll out agentic development tooling • Prototype, script, and analyze data directly when it advances the work • Coordinate across Vista, portfolio company teams, tool vendors, and external delivery partners • Support change management and enablement through communications, training, and adoption checkpoints • Support evaluation of AI engineering platforms and harnesses against technical, security, and organizational constraints • Surface decisions, tradeoffs, and data discrepancies and escalate with clear recommendations • Capture engagement lessons and contribute to 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 operating roles, preferably in software or technology • Demonstrated ownership of a complex, multi-stakeholder program with ambiguous requirements, accountable for delivery and not only advice • Working knowledge of the software development lifecycle, including source control, CI/CD, issue tracking, and engineering productivity metrics such as cycle time and deployment frequency • Hands-on use of AI development tools such as Claude Code, Cursor, or Codex • Strong quantitative skills, including building and pressure-testing metrics and models and stating assumptions and limits clearly • Ability to communicate clearly with product management, engineering teams, and senior executives, in writing and in person • Comfort with open-ended problems, low ego, and a focus on outcomes over credit • Willingness to travel up to 50% • Experience with developer productivity measurement, change management, agent frameworks such as LangGraph, system integrators, or private equity operating environments is preferred

🏖️ Benefits

• Annual cash bonus • Comprehensive benefits package • Exposure to several portfolio companies and senior executives • Career progression opportunities across operating, forward deployed, product, strategy, or investing roles

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