Job Overview
Location
United States
Job Type
Full-time
Category
Data Science
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Design and implement scalable, AI-enabled contracting processes across customer, vendor, partner, reseller, NDA, DPA, and employment agreements to accelerate deal velocity while maintaining calibrated risk exposure.
- • Own the commercial mechanics of revenue generation by partnering with Finance and Sales on pricing models, discounting strategies, usage-based and AI-driven billing, over-provisioning, true-up calculations, deal desk workflows, and approval hierarchies that impact margin and revenue.
- • Operationalize legal and commercial rulebooks by creating playbooks, fallback positions, and escalation criteria that empower sales teams (AEs and RSDs) to resolve standard contract redlines autonomously without legal bottlenecks.
- • Lead security and compliance initiatives by collaborating with CTO and IT to obtain and maintain enterprise-critical certifications including SOC 2, ISO 27001, and FedRAMP to enable sales into public-sector and regulated markets.
- • Integrate and deploy cutting-edge AI tools to automate contract review, redlining, and risk flagging, continuously improving cycle times and reducing manual effort across the commercial lifecycle.
- • Serve as a strategic business partner on financing and M&A transactions, supporting due diligence, deal structuring, document review, and counsel management to optimize cost and leverage.
- • Drive international expansion efforts by identifying legal and operational barriers to entry in new markets and coordinating with external counsel to establish compliant local operations.
- • Build systems that replace ad-hoc problem-solving with repeatable, self-service workflows — prioritizing process engineering over manual contract drafting.
- • Partner cross-functionally with Sales, Finance, IT, Channel Partnerships, Professional Services, and outside counsel to align commercial operations with company growth objectives.
- • Act as a commercial thought partner who optimizes for velocity, margin, and relationship outcomes — not just risk mitigation — balancing legal constraints with business imperatives.
- • Maintain deep fluency in B2B SaaS commercial dynamics, including contract term tradeoffs, revenue recognition mechanics, and negotiation levers that impact customer acquisition and retention.
- • Continuously evaluate and adopt new AI-driven productivity tools, actively testing and integrating them into daily workflows to stay ahead of operational inefficiencies.
- • Ensure all operational systems are designed to scale with rapid growth, anticipating bottlenecks before they emerge and building infrastructure to support 10x revenue expansion.
- • Maintain clear documentation and training materials to enable team adoption of new processes and tools without reliance on centralized legal or ops support.
- • Champion a culture of autonomy and accountability by empowering non-legal teams to make confident, compliant commercial decisions within defined guardrails.
🎯 Requirements
- • 7+ years of experience in business operations, deal desk, legal operations, or contract management with meaningful commercial responsibility
- • Proven experience in B2B SaaS or high-growth startup environments
- • Demonstrated ability to build scalable, AI-enabled commercial workflows that reduce dependency on legal teams
🏖️ Benefits
- • Health, dental, and vision insurance
- • 401(k) Plan
- • Flexible PTO
Skills & Technologies
About Omni Analytics
Omni Analytics provides a unified business intelligence platform that empowers companies of all sizes to confidently explore data with speed and accuracy. Their solution helps data, product, and business teams transform raw data into actionable insights through self-service analytics, powerful embedded dashboards, and AI-driven queries. Integrating seamlessly with modern cloud platforms like Snowflake and dbt, Omni Analytics ensures data consistency with a governed semantic layer and enterprise-grade security. This enables every team, from sales to marketing, to make data-driven decisions and build customer-facing data products efficiently. One customer achieved 100% adoption of company-wide KPIs in under six weeks, showcasing Omni's impact.
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