Uniphore Technologies Singapore

Senior VP Revenue Operations

USA - CA - Palo Alto · Vp

Sponsorship not specifiedDetected 51 days ago

Data EngineeringLLMsSalesforceForecastingCompensationCadenceLeadershipPublic Speaking

About the role

We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
The next chapter is about scale, discipline, and getting this business ready for its next major milestone.
This is not a behind-the-scenes operator role.

Uniphore is one of the largest B2B AI-native companies-decades-proven, built-for-scale and designed for the enterprise.
The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Own sales compensation plan design in partnership with Finance and HR - building structures that motivate the right behaviors and scale with the business.
Lead the Win Desk - the central authority on deal acceleration, pricing governance, discount approvals, and deal terms.
Build and maintain playbooks that enable the field to move fast without sacrificing margin, compliance, or strategic positioning.
Build the operational infrastructure - metrics, reporting cadences, data governance, controls - that a public company requires. This means clean, auditable, investor-grade revenue data before it is needed.
Partner with the CFO and GC on financial controls, revenue recognition, and the operational requirements of a public company.
Serve as a strategic thought partner to the ELT on go-to-market investment decisions, capacity planning, and growth strategy.
Own the revenue technology roadmap - Salesforce, Terret, Outreach - as an architect driving adoption, integration, and optimization, not just administration.
Build analytical models that surface growth opportunities, identify risk, and turn complex data into decisions that the field and leadership can act on.

15+ years in revenue operations, with at least 5 years in a VP or SVP role inside a high-growth B2B SaaS or enterprise AI company.
Direct experience supporting an IPO or preparing a company for public markets - you understand what investors, auditors, and boards scrutinize, and you have built the systems and narratives to meet that bar.
Deep hands-on expertise in Salesforce, Terret/ Boostup, Clari, and Outreach - as an architect and strategic owner, not a power user.
A genuine executive presence - you are as comfortable presenting to a board or engaging with institutional investors as you are running a pipeline review with the field.

A clear, compelling communicator who can make operational complexity simple - for any audience, at any altitude.
Background in management consulting or experience working across large, matrixed organizations is a meaningful plus.

Build and own the operating rhythm of the revenue organization: weekly forecasts, monthly business reviews, quarterly planning, and annual operating plans that create accountability and predictability at every level.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Uniphore infuses AI into every part of the enterprise that impacts the customer.
We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted.
We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

USA - CA - Palo Alto
Uniphore is an equal opportunity employer committed to diversity in the workplace.
For more information on how Uniphore uses AI to unify-and humanize-every enterprise experience, please visit www.uniphore.com.
equal opportunity employer committed to diversity in the workplace.

This listing is sourced directly from Uniphore Technologies Singapore's careers page and normalized into a canonical job model.