Founding Business Ops & Strategy Associate

Pramaana Labs • Palo Alto, CA

2d

About The Position

Pramaana Labs is a frontier AI lab building a verification layer for AI. Founded in 2025 and headquartered in Palo Alto, the company turns complex human knowledge—such as tax codes, legal rules, clinical guidelines, and security protocols—into formal representations so AI answers can be traced, challenged, and proved. Its architecture pairs foundation models trained to formalize and reason with a symbolic world model encoded in Lean 4. Pramaana was founded by a team from Google, DeepMind, and Glean, bringing together frontier AI researchers and formal methods experts. Its commercial team is building the go-to-market motion to bring this technology to enterprises where correctness matters most.

The Business Operations Associate will help invent Pramaana’s GTM strategy by turning ambiguous commercial questions into analysis, decisions, and measurable action. Working closely with commercial leadership, founders, finance, and product teams, this person will help determine which markets and customers to pursue, how to price and sell the product, and how to scale effective approaches. This is a strategy-and-execution role rather than a reporting function: analyses and recommendations are expected to be tested in the field.

The role includes revenue planning and modeling; strategic account and segment analysis; diagnosing funnel performance using quantitative and qualitative evidence; shaping pricing and monetization; running focused GTM experiments; and establishing leadership operating cadences. The associate will partner with RevOps on reliable data and tooling while owning commercial insights, decision support, and cross-functional execution.

Requirements

• Experience in strategy and operations, BizOps, strategic finance, GTM analytics, growth strategy, consulting with operating responsibility, or a high-agency startup role.
• Exceptional analytical judgment and spreadsheet modeling skills, including the ability to turn imperfect raw data into a defensible recommendation and clearly explain assumptions.
• Commercial curiosity, including a willingness to hear customers, understand buyer incentives, and challenge metrics when they conflict with field observations.
• Ability to translate strategy into execution across sales, product, finance, and leadership without relying on formal authority.
• Excellent writing and executive communication: concise, structured, willing to take a point of view, and able to revise it as evidence changes.
• Comfort using modern AI tools and automation to accelerate research, analysis, and recurring workflows without sacrificing accuracy.

Nice To Haves

• Built an ICP, territory, sales-capacity, pricing, or monetization model that materially changed revenue outcomes.
• Experience in enterprise AI, developer platforms, cloud, regulated software, or a business with both sales-led and product-led growth.
• Ability to independently build useful reporting or lightweight internal tools.

Responsibilities

• Translate revenue goals into executable plans by modeling pipeline coverage, conversion, sales capacity, sales cycles, bookings, ACV, and usage-driven expansion, while making assumptions and trade-offs explicit.
• Own strategic account and segment analysis, and develop and refine ICPs, vertical priorities, territory hypotheses, account scoring, and use-case economics based on customer evidence.
• Diagnose the commercial engine by combining funnel metrics, win/loss reviews, customer calls, and qualitative field feedback to explain results and recommend changes.
• Shape pricing and monetization strategy by evaluating pilots, enterprise contracts, usage-based models, willingness to pay, customer ROI, and value capture with Finance and GTM leaders.
• Run focused GTM experiments on messaging, qualification, outbound, pilots, partnerships, and conversion, defining success measures before testing.
• Build leadership operating cadences, including weekly scorecards, scenario models, pipeline and business reviews, and concise recommendations with accountable next steps.
• Partner with RevOps on trustworthy source data and tooling, while owning commercial insight, decision support, and cross-functional execution above those systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed