Revenue Operations Manager
TekmetricFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need a bachelor's degree in Finance, Business, Economics, or related field, plus 5+ years of progressive experience in deal desk operations, pricing analytics, revenue operations, or strategic FP&A within B2B software companies. An MBA or relevant certifications are valued but not required with strong experience. A deep understanding of B2B/AI software unit economics like CAC, LTV, payback, and TCO modeling is essential.
The role involves leading deal structuring, revenue optimization, and incentive management, including providing strategic financial guidance on deal structures, building financial models for unit economics, designing commission programs, developing deal approval frameworks, calculating payouts, monitoring performance, and maintaining documentation.
This information is not specified in the job description.
This information is not specified in the job description.
A strong candidate has 5+ years in deal desk operations, pricing analytics, revenue operations, or strategic FP&A in B2B software, with expertise in unit economics, financial modeling, and commission program design, plus a relevant bachelor's degree.
Voice AI platform for conversational experiences
SoundHound provides conversational intelligence solutions through its independent voice AI platform. This platform uses unique technologies called Speech-to-Meaning® and Deep Meaning Understanding® to facilitate fast and accurate voice interactions, allowing users to engage with products and services in a natural way. The company works with a wide range of clients, including well-known brands like Hyundai, Mercedes-Benz, and Netflix, by licensing its voice AI technology. This approach generates revenue through long-term contracts and usage-based fees. SoundHound stands out from competitors by focusing on delivering high-quality conversational experiences across various industries, including automotive and consumer electronics, where advanced voice AI capabilities are increasingly important.