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.

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. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.

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.

Job Description:

Job Description Summary

Drives end-to-end delivery of complex, cross-functional technical programs across engineering, product, AI/ML, and business teams. Operates at the intersection of technical depth and program leadership - translating ambiguous strategic goals into executable plans, navigating shifting priorities in a fast-moving AI-native environment, and holding the line on delivery quality and pace. This role partners directly with engineering, product, and leadership stakeholders to ship customer-facing AI platform and product capabilities at enterprise scale.

Job Description

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.

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. We understand better than anyone how to capture voice, video, and text and how to analyze all types of data.

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.

About the Role

We are looking for a Technical Program Manager who thrives in fast-moving, ambiguous environments where the roadmap changes weekly because a new model launched, a customer asked for something, or strategy shifted overnight. You will own the execution of programs that span our agentic AI platform, applied AI products, and the engineering systems that power them. You will be a key partner to engineering leadership, product, and the broader TPM team, working across geographies and time zones to drive alignment, surface risk early, and ensure we ship.

This role is not about coordinating IT workstreams or running ceremonies. It's about owning outcomes end-to-end in an environment where ambiguity is the default and pace is the differentiator.

Responsibilities

• Own end-to-end delivery of complex, cross-functional programs spanning engineering, AI research, product, and design.
• Drive execution of agentic AI platform and product workstreams - from early architecture and feature definition through deployment.
• Build and adapt program plans dynamically as scope, models, customer requirements, and priorities shift.
• Partner with the broader TPM team across geographies (Palo Alto and India) - establish strong daily handshakes, async-friendly workflows, and clear accountability across time zones.
• Surface risk early and drive resolution - proactively identify blockers, escalate appropriately, and hold stakeholders accountable to commitments.
• Coordinate release planning, launch readiness, and post-launch monitoring across multiple concurrent programs.
• Drive cross-functional alignment through influence rather than authority —-make decisions stick across engineering, product, AI research, and field-facing teams.
• Establish lightweight, fit-for-purpose processes - bring just enough structure to move faster, not slower.
• Communicate program status, risks, and key decisions clearly to executive leadership.

Requirements

• 8–12 years of technical program management experience, with at least 4–6 years driving complex, cross-functional programs in fast-moving environments.
• Hands-on technical background - prior experience as a software engineer, ML engineer, or in a deeply technical role. You should be comfortable engaging in architecture discussions, technical tradeoffs, and engineering decisions.
• Proven track record operating in startup, scale-up, or fast-moving AI/platform environments. Strong preference for candidates who have shipped customer-facing AI/ML or platform products - not just supported them.
• Demonstrated ability to drive outcomes in ambiguous environments without playbooks or scaffolding - comfort building structure from scratch when needed, and equally comfortable operating without it.
• Strong assertiveness and ability to hold the line on technical and delivery decisions, including disagreeing with senior stakeholders, holding engineering accountable to commitments, and escalating cleanly when necessary.
• Experience working with globally distributed teams, particularly across US and India time zones.
• Self-starter mindset - willing to roll up sleeves, dig into details, and own outcomes end-to-end.
• Strong working knowledge of Agile delivery, but pragmatic about adapting ceremonies and frameworks to team and program needs.
• Bachelor's or master's degree in computer science, engineering, or equivalent practical experience.

Preferred Experience

• Direct experience working on or coordinating agentic AI, LLM-based, or conversational AI platforms.
• Familiarity with the modern GenAI stack - models, RAG, agents, evaluations, and deployment patterns.
• Experience supporting enterprise customers and field-facing teams (sales engineering, customer success, professional services).
• Exposure to platform-level program management, where customers are developers or other engineering teams.
Comfort with hands-on tooling -Jira, Confluence, GitHub - including building dashboards and lightweight automation to scale yourself.

Location preference:

Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.