Pramaana Labs is a frontier AI lab building the verification layer for AI. Founded in 2025 and headquartered in Palo Alto, we turn complex human knowledge, including tax codes, legal rules, clinical guidelines and security protocols, into formal representations so AI answers can be traced, challenged and proved. Our 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. Our commercial team is building the go-to-market motion to bring this technology to enterprises where correctness matters most.
The Role
Pramaana is creating a category and needs the revenue infrastructure to match. We are looking for a founding Revenue Operations Associate to build the systems, processes and operating discipline that turn early sales activity into a reliable, scalable business. Your mandate is simple: make it easier for our sellers to spend time with customers, and give leadership a trustworthy view of where growth is coming from.
You will own our HubSpot foundation and work across enterprise sales, inbound, marketing, finance and product-led growth. This is a builder's role: design an elegant first version, put it in production, drive adoption, instrument it, and improve it as the business evolves.
What You'll Do
Own HubSpot end to end: account/contact/deal architecture, lifecycle stages, mandatory fields, permissions, deduplication, governance and day-to-day reliability.
Build clear rules of engagement for lead and account ownership, qualification, routing, reassignment, handoffs and escalation across outbound, inbound and product-led motions.
Design and automate the lead-to-revenue workflow: inbound capture, enrichment, SDR/AE handoff, activity capture, approvals, deal progression, contracting and post-sale transition.
Create a single source of truth for revenue. Establish consistent definitions and dashboards for pipeline, conversion, stage aging, coverage, forecast, bookings and seller productivity.
Partner with sales leadership on weekly deal inspection, forecast quality, CRM hygiene and a cadence of operational decisions that actually changes behavior.
Find and remove seller friction. Audit manual steps, missed follow-ups and data-entry burden; introduce pragmatic automations and AI-assisted workflows with clear exception handling.
Integrate marketing, product-usage, financial and customer systems where needed; document processes, train teams, monitor failures and make adoption measurable.
You Will Thrive in This Role If You Have
Hands-on experience building and administering HubSpot or a comparable enterprise CRM, including workflows, objects, reports and data hygiene.
Understanding of B2B lead-to-cash processes, enterprise deal management, pipeline definitions, forecasting and cross-functional GTM handoffs.
Ability to design a practical process and also implement and troubleshoot it yourself; you are comfortable getting into messy operational details.
Strong data discipline, systems thinking, documentation and change-management skills; you optimize for what the team reliably uses.
Excellent partnership with sales, marketing, finance and technical teams, with sound judgment about trade-offs and exceptions.
High ownership, speed, and curiosity about how modern AI and automation can meaningfully improve seller productivity.
Especially Strong Candidates May Also Have
Built a RevOps function from scratch at an early-stage B2B company.
Worked across enterprise sales and PLG, including product-qualified leads and usage-based expansion.
Experience with APIs, no-code/low-code automation, enrichment providers, quoting or billing integrations.
Skills Required
- Hands-on experience building and administering HubSpot or a comparable enterprise CRM, including workflows, objects, reports, and data hygiene.
- Understanding of B2B lead-to-cash processes, enterprise deal management, pipeline definitions, forecasting, and cross-functional go-to-market handoffs.
- Ability to design, implement, and troubleshoot operational processes independently.
- Strong data discipline, systems thinking, documentation, and change-management skills.
- Ability to partner effectively with sales, marketing, finance, and technical teams while exercising sound judgment about trade-offs and exceptions.
- High ownership, speed, and curiosity about using AI and automation to improve seller productivity.
- Experience building a Revenue Operations function from scratch at an early-stage B2B company.
- Experience across enterprise sales and product-led growth, including product-qualified leads and usage-based expansion.
- Experience with APIs, no-code or low-code automation, enrichment providers, quoting, or billing integrations.
What We Do
Pramaana Labs builds the verification layer for AI, translating complex human knowledge—including tax codes, clinical guidelines, legal rules, and safety constraints—into machine-checkable logic. Its domain-specific systems use provers and solvers to search solution spaces and return proof artifacts, counterexamples, and traceable explanations for expert review. The aim is to make AI answers verifiable, challengeable, and defensible, supporting more accountable AI deployment across high-stakes applications.
