About Manifest

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.

About the Role

Manifest needs a dedicated owner to build the data infrastructure and decision systems that get every case to the right attorney — fast, and without quality or capacity issues. Right now, assignment relies on manual judgment and fragmented data; this role fixes that from the ground up. You'll turn messy operational data into forecasting models, allocation logic, and supply triggers that scale with the business. The initial bar for success is simple: Manifest can explain, with data, who should receive each case, how much supply is available, and when to hire next.

What You’ll Do

• Build a structured dataset capturing attorney expertise, capacity, quality, and historical performance

• Develop an allocation model that recommends the right professional for each case

• Create reliable methods for estimating actual attorney capacity, not self-reported estimates

• Establish demand and supply forecasts by case type, segment, and time horizon

• Build early-warning triggers that initiate recruiting before capacity runs out

• Reduce reassignments and time between signed engagement and case kickoff

• Partner with Legal, Recruiting, Product, and Data to embed models into daily workflows

What We're Looking For

• 3–5 years in strategy, operations, analytics, capacity planning, or marketplace operations

• Strong quantitative reasoning and comfort working with incomplete, unstructured data

• Ability to build practical models and translate outputs into operational decisions

• Sound business judgment — knows when the optimal answer isn't the viable one

• High ownership mindset; comfortable building a function from scratch

• Exposure to statistical modeling or machine learning

This is for you if....

You want to own a function end-to-end, not inherit someone else's playbook. You find satisfaction in turning messy data into systems that actually run a business. You want your models to matter — tied directly to hiring, case quality, and growth.

This is not for you if....

You prefer clearly scoped work over ambiguous, build-from-scratch problems. You're more comfortable analyzing decisions than being accountable for them. You want a team or existing infrastructure to hand you clean data and clear specs.

Compensation Range: $120K - $140K