Jobs at Uniphore

Build and lead Uniphore’s global Revenue Enablement function, including strategy, team development, onboarding, sales methodology, product launch readiness, manager coaching, content, partner enablement, and AI-powered learning programs. Establish measurable enablement KPIs tied to ramp time, quota attainment, win rates, deal size, sales cycles, and forecast accuracy. Partner with executive leadership across Sales, Marketing, Product, RevOps, and Finance in an onsite Palo Alto role.

Leads global revenue operations, forecasting, sales compensation, planning, CPQ, deal desk, order management, pipeline governance, reporting, and partner operations. Owns forecast accuracy and operating cadence, drives automation and AI adoption, partners with Finance, Legal, Sales, Marketing, and executive leadership, and leads a global team. The onsite Palo Alto role requires extensive revenue operations experience, enterprise SaaS or AI experience, executive communication, and expertise with Salesforce and analytics tools.

Leads product pricing, packaging, monetization, COGS optimization, unit economics, and strategic vendor management across an enterprise AI, data, platform, and application portfolio. Develops consumption-based and hybrid commercial models, improves gross margins, negotiates with cloud and technology providers, and partners with Product, Engineering, Finance, Sales, and GTM leadership to drive adoption, revenue growth, and profitability.

Leads enterprise sales for Uniphore Marketing AI, owning a direct territory while overlaying core sales accounts. Responsibilities include prospecting, executive-level selling to CMOs, positioning AI within Martech and CDP environments, building business cases, closing multimillion-dollar deals, forecasting, coordinating cross-functional teams, and shaping product strategy. The role involves 6–12-month sales cycles, eight-figure opportunities, and moderate domestic and international travel.

Leads the vision, strategy, roadmap, and execution of enterprise data platforms and AI-ready data products. Owns the data product business, including customer-facing offerings, internal GenAI infrastructure, monetization, revenue goals, governance, and compliance. Partners with engineering, AI, sales, marketing, and executive teams to deliver scalable data platforms, LLM and agentic AI capabilities, and reliable production systems. Builds and mentors multidisciplinary teams while driving adoption, innovation, customer value, and competitive differentiation.

Build and optimize a context-aware inference runtime for fine-tuned small language models across cloud, on-premises, NVIDIA, and AMD environments. Responsibilities include KV-cache management, speculative decoding, GPU kernel optimization, continuous batching, quantization, multi-GPU execution, adapter lifecycle management, observability, tenant isolation, reliability, and safe deployment. The role partners with research, model engineering, agent, knowledge systems, and platform teams.

Build and optimize a production inference runtime for fine-tuned small language models across cloud, on-premises, NVIDIA, and AMD GPU environments. Responsibilities include context management, KV and prefix caching, speculative decoding, GPU kernel optimization, continuous batching, quantization, multi-GPU execution, adapter lifecycle management, observability, tenant isolation, failure recovery, and safe deployment rollouts. The role requires hands-on engineering with GPU systems, distributed inference, ML serving, and inference performance optimization.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The Director of AI Customer Success oversees enterprise client relationships, ensuring success metrics and driving AI adoption, retention, and value realization through strategic consulting and collaboration with internal teams.

Lead enterprise AI advisory for C-suite clients: define AI strategy, responsible AI and governance, run executive discovery workshops, design solution blueprints for Uniphore Business AI Cloud, support pre-sales and post-sales value realization, mentor advisory teams, and inform product roadmaps to drive measurable ROI and scalable agentic AI adoption.

Design and implement agentic AI systems and workflows; lead experiments and evaluations for prompts, agents, and model variants; finetune and optimize small-to-medium foundation models; deliver end-to-end ML solutions into production; mentor junior scientists and influence technical roadmap.

Partnering with the CEO to lead strategic initiatives, drive operational excellence (QBRs, OKRs, Board reporting), produce market and competitive insights, enable cross-functional alignment, and manage project frameworks to ensure timely delivery and leadership development across the company.