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:
As a Senior Staff Software Engineer within Product Engineering, you will serve as a senior technical leader responsible for delivering complex frontend systems and driving technical excellence across multiple teams. You will collaborate closely with product management, design, backend, platform, and security partners to implement scalable, high-quality, and secure user experiences aligned with product goals.
In this role, you remain deeply hands-on while shaping technical solutions, mentoring engineers, and ensuring frontend systems meet performance, quality, and security expectations. You are expected to lead cross-team initiatives, resolve complex technical challenges, and partner with Principal Engineers to align execution with longer-term architectural direction.
Responsibilities
Design and implement frontend architecture for complex, multi-team SaaS applications.
Deliver and evolve shared UI components, frameworks, and frontend foundations used across products.
Work closely with product, design, backend, platform, and security teams to translate requirements into robust frontend implementations.
Conduct in-depth code and design reviews, focusing on maintainability, performance, accessibility, and security.
Contribute hands-on to critical paths, complex UI flows, and performance-sensitive areas.
Drive adoption of testing practices, secure coding standards, and accessibility guidelines within teams.
Identify and remediate frontend quality gaps and security vulnerabilities, coordinating fixes across teams.
Mentor engineers through design guidance, code reviews, and technical problem solving.
Ensure frontend deliverables meet reliability, usability, and release-readiness standards.
Support sprint planning, release execution, and cross-team coordination for frontend initiatives.
Requirements
10–14 years of professional software engineering experience with a strong focus on frontend development.
Advanced expertise in JavaScript and TypeScript.
Proven experience building production systems using React, Vue.js, or Angular.
Demonstrated ability to design and scale maintainable frontend solutions.
Strong understanding of browser behavior, rendering performance, and client-side security.
Hands-on experience developing component libraries, design systems, and state management solutions.
Experience integrating frontend applications with REST APIs, WebSockets, and event-based data flows.
Solid experience with automated testing including unit, integration, and end-to-end tests.
Practical experience handling dependency upgrades, vulnerability fixes, and release-quality issues.
Ability to collaborate effectively with cross-functional teams across regions.
Strong problem-solving skills and sound technical judgment.
Good to Have
Experience owning frontend delivery for large features or product areas.
Hands-on exposure to build systems, bundlers, and performance tuning techniques.
Experience contributing to or extending internal UI frameworks or tooling.
Familiarity with monitoring front-end performance and diagnosing production issues.
Enough exposure to real-time or data-intensive UI applications.
Experience participating in technical RFCs or architecture reviews.
Awareness of accessibility and internationalization considerations in modern web applications.
Hands-on experience with AI-first development environments (e.g., Claude Code, Cursor) and a proven ability to leverage LLMs for rapid prototyping, debugging, and boilerplate reduction while maintaining deep technical oversight.
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.
Skills Required
- 10-14 years of professional software engineering experience with a strong focus on frontend development
- Advanced expertise in JavaScript and TypeScript
- Proven experience building production systems using React, Vue.js, or Angular
- Demonstrated ability to design and scale maintainable frontend solutions
- Strong understanding of browser behavior, rendering performance, and client-side security
- Hands-on experience developing component libraries, design systems, and state management solutions
- Experience integrating frontend applications with REST APIs, WebSockets, and event-based data flows
- Solid experience with automated testing including unit, integration, and end-to-end tests
- Practical experience handling dependency upgrades, vulnerability fixes, and release-quality issues
- Ability to collaborate effectively with cross-functional teams across regions
- Strong problem-solving skills and sound technical judgment
Uniphore Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uniphore and has not been reviewed or approved by Uniphore.
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Healthcare Strength — Health coverage includes medical, dental, vision, mental‑health resources, and wellness programs, with multiple plan options (including HSA/FSA) indicating robust depth. Plan quality and affordability are highlighted relative to peers.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, and a paid birthday day off. Enhanced parental, caregiver, and bereavement leave extend coverage beyond standard policies.
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Retirement Support — Retirement offerings include a U.S. 401(k) with company match and pension/retirement plans with employer contributions in many countries. These programs support longer‑term financial security alongside core pay.
Uniphore Insights
What We Do
The Business AI Cloud is the only sovereign, composable and secure AI platform that enables businesses to rapidly adopt, significantly transform and immediately unlock the value of their data. Trusted by more than 2,500 of the world’s largest enterprises and recognized by Gartner, Forrester, IDC and the Deloitte Fast 500, Uniphore is where enterprise AI moves from ambitions to production. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
