Revenue Operations
QuantHealth (QH) is a leading AI startup in the clinical trial space, leveraging AI and big data to simulate and optimize trials for pharmaceutical companies. Our ability to combine large biomedical datasets with vast amounts of patient data allows our customers to simulate their clinical trials in a SaaS environment to make them smarter and more efficient.
We are seeking a highly analytical and strategic Revenue Operations Manager to join our growing team. This is a key function supporting our Go-To-Market team, responsible for optimizing and scaling our revenue operations strategy. This role will focus on improving sales processes, enhancing data integrity, and generating insights to increase efficiency and revenue growth. As a Revenue Operations Manager, you will oversee our sales infrastructure, reporting, and analytics, while implementing tools to streamline operations. In addition, you will focus on improving forecasting accuracy, sales productivity, and cross-functional collaboration across Sales, Marketing, and Finance.
Key Responsibilities:
Revenue Strategy & Growth Optimization
- Develop and execute a comprehensive revenue operations strategy that aligns with company growth objectives.
- Partner with sales, finance, and marketing leaders to ensure revenue efficiency, forecasting accuracy, and pipeline optimization.
- Identify and implement best practices to enhance revenue retention, expansion, and overall ARR growth.
- Lead annual revenue planning and quota-setting processes in collaboration with finance and GTM leadership.
Data & Performance Analytics
- Own end-to-end revenue analytics, creating dashboards and reporting frameworks to track KPIs, sales performance, and revenue trends.
- Drive predictive forecasting models to enhance visibility into bookings, churn, and upsell opportunities.
- Champion and drive adoption across GTM team of best practice RevOPs tech stack tools (eg SalesForce, Gong, BI tools)
Operational Excellence & Process Optimization
- Implement scalable sales and revenue processes to improve efficiency and reduce friction in the buyer journey.
- Optimize lead-to-cash processes, ensuring seamless handoffs between sales, finance, and customer success.
- Drive automation and system enhancements to improve productivity and decision-making.
Pricing, Compensation & Deal Desk
- Partner with finance and sales leadership to optimize pricing strategies, discounting policies, and deal structures to maximize revenue and margin.
- Oversee sales compensation plans, ensuring alignment with revenue goals and incentive structures.
- Lead the Deal Desk function, providing strategic insights on deal approval processes and contract structuring.
Cross-Functional Leadership & Enablement
- Work closely with sales enablement to drive adoption of tools, processes, and best practices.
- Align marketing and sales teams to improve lead qualification, pipeline velocity, and conversion rates.
Requirements
- 7+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy, preferably in B2B SaaS or a high-growth tech environment.
- Expertise in CRM & RevOps tech stack (Salesforce, Gong etc, or equivalent).
- Strong understanding of financial modeling, revenue forecasting, and sales metrics.
- Proven ability to drive operational efficiency and revenue growth through process improvement and automation.
- Experience in deal structuring, pricing strategy, and sales compensation planning.
- Exceptional stakeholder management skills, with the ability to collaborate across sales, finance, marketing, and customer success teams.
- Strong analytical mindset, with the ability to translate complex data into actionable insights.
Top Skills
What We Do
QuantHealth is an AI company conducting patient-centric drug simulations to accelerate and de-risk drug development. Over 90% of drugs in clinical development stage fail to reach the market, which accumulates to a $45B/year direct lost to the pharma and biotech industry. Our platform allows our pharma and biotech partners to rapidly run thousands of variations of their clinical trials to optimize the trial design and significantly increase the probability of trial success, all while enabling discovery of new clinical opportunities and optimization strategies. QuantHealth has one the largest integrated datasets that spans the clinical, pharmacological and biological domains together with a proprietary AI platform that can predict patient-response to both approved and novel therapies.
