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At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.
In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.
Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.
Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.
We’re looking for a Deal Desk Analyst to join our growing team and serve as a strategic partner to Sales, Finance, Legal, and Business Operations. This role is responsible for supporting the full quote-to-cash process, helping structure complex deals, and ensuring compliance with internal policies while maintaining a strong focus on business outcomes. You’ll play a key role in reviewing pricing and contract structures, supporting enterprise sales motions, improving operational processes, and helping scale the systems and frameworks that support revenue growth. This is a high-impact role for someone who is analytical, solutions-oriented, and comfortable balancing policy, risk, and practical business judgment.
Support the end-to-end quote-to-cash process, including deal structuring, pricing reviews, contract approvals, and execution.
Collaborate with Sales, Finance, Legal, and Operations to ensure deals align with company policies, financial goals, and operational requirements.
Provide pricing guidance, analyze discounting and commercial terms, and support enterprise deal negotiations and approvals.
Track deal performance, approval metrics, cycle times, and operational KPIs to identify trends and improvement opportunities.
Drive process improvements across contracting, approvals, and workflow management to enhance scalability and sales efficiency.
Support automation and AI-driven operational initiatives while maintaining documentation, SLAs, and best practices.
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Bachelor’s degree in Finance, Business, Economics, Accounting, or a related field
3 to 5 years of experience in Deal Desk, Sales Operations, Pricing, Finance, Revenue Operations, or a related role
Experience supporting high-volume deal environments with strong attention to detail
Experience working in SaaS, subscription-based, or technology businesses preferred
Strong Excel or spreadsheet modeling skills
Experience with Salesforce and quote-to-cash systems
Familiarity with CPQ platforms is strongly preferred
Comfortable working with data and operational reporting tools
Strong analytical and problem-solving skills
Ability to evaluate non-standard situations and exercise sound business judgment
Excellent communication and organizational skills
Solutions-oriented mindset with the ability to balance competing priorities
Strong sense of ownership, urgency, and accountability
Ability to work independently and collaboratively in a fast-paced environment
Comfortable navigating cross-functional discussions and internal negotiation
Understanding of core financial concepts such as revenue, gross margin, and profitability
Familiarity with SaaS pricing models and subscription-based business structures
Awareness of competitive dynamics and commercial deal strategy
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Experience supporting enterprise or strategic sales teams
Experience with discounting strategies and approval frameworks
Exposure to contract management or legal coordination within a sales process
Experience analyzing customer behavior, pricing trends, or deal performance data
Interest in process automation, AI tooling, or operational efficiency initiatives
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