Founding Business Ops & Strategy Associate

Pramaana Labs • Palo Alto, CA

17h

About The Position

Pramaana Labs is seeking a Business Operations Associate to help shape and execute its evolving go-to-market strategy. The role works closely with commercial leadership, founders, finance, and product teams to analyze where to compete, which customers to pursue, how to price and sell the product, and how to scale successful approaches. It combines strategic analysis with hands-on execution, and recommendations are expected to be tested in the field.

The associate will translate revenue goals into operating plans, analyze accounts and market segments, diagnose funnel performance, contribute to pricing and monetization decisions, and run focused go-to-market experiments. The role will also establish leadership operating rhythms and provide commercial insight and decision support in partnership with RevOps.

Pramaana Labs is a frontier AI lab building a verification layer for AI. Founded in 2025 and headquartered in Palo Alto, the company formalizes complex human knowledge so AI answers can be traced, challenged, and proved. Its architecture combines foundation models with a symbolic world model encoded in Lean 4. The company was founded by a team from Google, DeepMind, and Glean.

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 ability, including the ability to turn imperfect raw data into defensible recommendations and clearly explain assumptions.
• Commercial curiosity, including a desire to hear from 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 skills; able to communicate concisely and structurally, take a point of view, and revise it when 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, including refining ideal customer profiles, vertical priorities, territory hypotheses, account scoring, and use-case economics using customer evidence.
• Diagnose the commercial engine by combining funnel metrics, win/loss reviews, customer calls, and qualitative field feedback to explain performance 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 go-to-market experiments involving messaging, qualification, outbound, pilots, partnerships, and conversion, with a defined success measure for each test.
• 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 beyond those systems.

What This Job Offers

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