Uniphore
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Recently posted jobs
Artificial Intelligence • Machine Learning
Owns end-to-end product marketing for Uniphore’s AI platform, including positioning, architecture narratives, competitive intelligence, thought leadership, technical content, launches, enablement, and adoption. Partners with Product, Engineering, AI Research, Sales, customers, analysts, and market influencers to differentiate the platform, inform strategy and roadmaps, support enterprise technology buyers, and drive pipeline and revenue.
Artificial Intelligence • Machine Learning
Design and govern enterprise data architectures that make customer data secure, trustworthy, and AI-ready. Lead data modeling, ETL/ELT, integrations across cloud, ERP, CRM, and legacy systems, vector and retrieval data foundations, data quality, lineage, and compliance. Develop reusable architecture frameworks, evaluate tooling, mentor engineers, advise senior customers, and provide platform feedback. Support multiple concurrent forward-deployed customer engagements involving agentic AI, RAG, and LLM/SLM workflows.
Artificial Intelligence • Machine Learning
Leads multiple engineering organizations developing enterprise conversational AI platforms and agentic AI products. Owns architecture, AI/ML system delivery, LLM fine-tuning, inference, RAG pipelines, data processing, product roadmaps, quality, and operational excellence. Partners with Product, Data Science, Design, and executive leadership while hiring, mentoring, and scaling globally distributed engineering teams. Drives long-term AI technology strategy and delivers secure, scalable solutions for enterprise customers.
Artificial Intelligence • Machine Learning
Lead enterprise technical sales cycles for an AI platform, partnering with account executives, product, and engineering teams. Conduct discovery, deliver technical presentations and demos, build proofs of concept, respond to RFPs, and design AI solution architectures. Advise clients on AI adoption, cloud deployment, API integration, data governance, security, and enterprise automation. Translate complex technical capabilities into measurable business outcomes and support large deal closures.
Artificial Intelligence • Machine Learning
Supports, configures, and improves the Workday platform across HCM, Recruiting, Compensation, Talent, Performance, Absence, and Time Tracking. Responsibilities include requirements analysis, business process and security configuration, production issue resolution, reporting, calculated fields, EIB data loads, integrations support, data audits, testing, releases, documentation, training, and stakeholder collaboration.
Artificial Intelligence • Machine Learning
Leads executive engagement strategy for strategic enterprise customer and prospect accounts. Designs executive briefings, dinners, summits, peer forums, and bespoke experiences; partners with sales, senior leadership, and ecosystem partners; integrates thought leadership; supports retention, expansion, and pipeline growth; and builds scalable playbooks, operating cadences, and measurement frameworks.
Artificial Intelligence • Machine Learning
Lead Uniphore’s EMEA regional marketing organization, strategy, pipeline ownership, integrated campaigns, ABM, demand generation, events, and budget allocation across Europe and the Middle East. Partner with sales, product marketing, revenue marketing, and communications to drive enterprise growth, localize global initiatives, engage executive buyers, deliver GTM readiness, and build a high-performing distributed marketing team.
Artificial Intelligence • Machine Learning
Leads Uniphore’s private capital formation and corporate development strategy. Responsibilities include raising equity and debt, managing investor and lender relationships, building financial models, overseeing due diligence, sourcing and executing full-cycle M&A, evaluating build-versus-buy opportunities, negotiating transactions, preparing board materials, and partnering with the CEO, CFO, and product leadership on capital structure and inorganic growth decisions.
Artificial Intelligence • Machine Learning
Own and grow a major global enterprise account through onboarding, adoption, renewals, upsell, and cross-sell. Develop multi-year account strategies, deliver expansion ARR, conduct executive business reviews, coordinate cross-functional teams, identify adoption and churn trends, and maintain Salesforce forecasting. The role requires consultative enterprise account management, C-suite relationship management, complex expansion experience, and familiarity with AI/ML, SaaS, cloud, or data platforms.
Artificial Intelligence • Machine Learning
As a Senior AI Engineer, you'll develop ML and Generative AI models, ensure integration with enterprise applications, and manage large datasets while collaborating with teams and mentoring others.
Artificial Intelligence • Machine Learning
The Sr. Strategic Client Executive will drive enterprise sales with Fortune 500 clients, focusing on strategic account management, sales execution, and cross-functional leadership to close multi-million-dollar AI deals.
Artificial Intelligence • Machine Learning
The Director of AI Customer Success will advise enterprise clients, ensuring successful delivery and adoption of AI solutions while driving retention and value realization. Responsibilities include customer strategy, developing success metrics, managing relationships, and collaborating with internal teams.
Artificial Intelligence • Machine Learning
Own and close multi-million-dollar deals with Tier 1 GSIs, drive revenue tied to assigned partnerships, execute joint account plans, lead enterprise sales cycles, negotiate complex agreements, build senior relationships with GSI leaders, and align cross-functionally to ensure adoption and reporting in Salesforce.
Artificial Intelligence • Machine Learning
Own and grow large enterprise accounts by selling AI-native solutions to Fortune 500/G2000 executives. Manage full sales cycle, close multi-million-dollar deals, build ROI-driven business cases, orchestrate cross-functional teams, and maintain pipeline coverage to meet ARR targets.
Artificial Intelligence • Machine Learning
Lead QA strategy and roadmap for AI and SaaS platforms. Design and implement scalable automation frameworks, validate AI/ML workflows, perform performance/security/regression testing, ensure end-to-end coverage across microservices, APIs, mobile and web in multi-tenant cloud, and document QA processes while partnering with engineering and data science teams.
Artificial Intelligence • Machine Learning
Lead thought leadership and content marketing to position Uniphore as a category-defining AI platform. Set strategy and editorial voice, build research and content programs, manage editorial calendar and social, align content to revenue goals, mentor a lean team and agencies, and measure content performance to drive pipeline.
Artificial Intelligence • Machine Learning
Lead and mature non-human identity and machine access: inventory and secure service accounts, API keys, tokens, certificates, and secrets; implement least-privilege, short-lived credentials, PAM, secrets management, identity governance, cross-account trust across multi-cloud (AWS primary), and automate identity controls via IaC and CI/CD.
Artificial Intelligence • Machine Learning
Lead AI-native security and SecOps: own Wiz and cloud/data posture tooling, drive detection-as-code and SOAR automation, run AI red-teaming and incident command, manage MXDR/MSSP relationships, and embed AI security into CI/CD and platform lifecycle.
Artificial Intelligence • Machine Learning
Lead end-to-end website and discoverability strategy for humans and AI agents. Own audience journeys, SEO/AEO/GEO, content structuring, CRO, AI-powered marketing operations, measurement dashboards, and cross-functional stakeholder alignment to improve brand visibility across search and AI answer surfaces.
Artificial Intelligence • Machine Learning
Lead internal events, executive-ready content and employee communications. Plan and execute companywide meetings, develop polished presentations and messaging, manage intranet/knowledge base, coordinate vendors/speakers, track budgets and KPIs, and leverage AI tools to accelerate content workflows.



