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Menlo Ventures is seeking an execution-focused generalist to join the Fulfillment Strategy team at Manifest OS. In this role, you will diagnose operational problems, map workflows, and build tools to improve efficiency across legal services.
The ideal candidate has 2-4 years in operations or consulting, is comfortable with data, and excels in ambiguous environments. This position offers the chance to work cross-functionally and implement impactful solutions.
Manifest OS is the leading AI-native company on a mission to replace the billable hour and make legal services more accessible for American businesses and consumers. We power the next generation of AI-native law firms with one unified global brand, a proprietary technology platform, and a centralized back office — enabling lawyers to eliminate the administrative burden and focus on delivering exceptional outcomes for their clients. Manifest OS has raised a $60M Series A from Menlo Ventures, Kleiner Perkins, First Round, and Quiet Capital.
The Fulfillment Strategy team owns a wide surface across productivity, supply, and service quality — and needs an execution-focused generalist to keep high-priority work moving. Right now, senior team members are bottlenecked because ambiguous problems require immediate analysis, process design, and follow-through that no one has capacity to own. You'll serve as a force multiplier: diagnosing problems, structuring solutions, and driving them through to measurable impact. This role moves across initiatives rather than sitting in a narrow function.
You want broad ownership and move faster when given less structure, not more. You find satisfaction converting messy operational problems into documented, repeatable systems. You're energized by working across teams and functions rather than a single domain.
You need a clearly scoped role with stable, long-term project ownership. You prefer to hand off execution once analysis or recommendations are complete. You're earlier in your career and still building comfort with ambiguity and independent prioritization.