Deal Desk Analyst
About AlphaSense :
The worldβs most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clientsβ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
Location: Remote (US) - Mountain or Pacific Time
Reports to: Deal Desk Manager
About the Team:The Revenue Operations team at AlphaSense drives productivity and improves efficiency for our account executives, account managers and sales development reps. We create and implement operational reporting & analytics, improve processes, and enable strategic initiatives that impact the revenue organization. At our core, we are a dynamic team of highly driven self-starters who are passionate about operations and thrive in a fast paced, challenging environment.
About the Role:We're looking for an Analyst to join our Deal Desk team as we scale. This role sits at the intersection of Sales, Finance, and Legal β helping structure, price, resolve redlines and close deals quickly while setting the foundation for repeatable, auditable processes. You'll combine hands-on deal support with process design and a growing use of AI tooling to speed up cycle times, and you'll help define the metrics that show how well the team and our deals are performing.
Who you are:
- 2+ years of experience in Deal Desk, Sales Operations, FP&A, or a related revenue operations function, ideally at a high-growth SaaS or tech company.
- Strong grasp of deal structuring, pricing, and contract fundamentals (discounting, ramps, multi-year terms, non-standard clauses).
- Hands-on experience with CRM (Salesforce). Quoting and/or CLM tools experience is a plus.
- Curiosity for applying AI tools to operational or deal workflows.
- Excellent judgment under time pressure
- Strong cross-functional communicator, comfortable working with Sales, Legal, and Finance.
- Process-oriented mindset with a bias toward documenting and scaling what works.
What Youβll Do
- Proactively review inbound deals for structure, pricing, discounting, and terms before they reach approval β flagging risk and inconsistency early rather than after the fact.
- Serve as a hands-on partner to Sales throughout the deal cycle, answering questions about deal commercials in real time and unblocking deals stuck in review.
- Apply pricing guardrails and discount frameworks consistently, and escalate exceptions through the appropriate approval path.
- Partner with Legal and Finance to ensure non-standard terms are reviewed, priced, and documented correctly.
- Identify bottlenecks and drive continuous improvement in the deal review process β from approval routing to documentation to handoffs between teams.
- Work with RevOps/Systems teams to embed AI-assisted steps directly into the Deal Desk workflow (CPQ, CLM, CRM).
- Maintain the core Deal Desk metrics: cycle time, approval turnaround, discount/exception rates, deal desk SLA attainment, and deal quality.
For base compensation, we set standard ranges for all roles based on function and level benchmarked against
This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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