Top Tech Jobs & Startup Jobs

Leads and personally closes strategic partnerships and multimillion-dollar joint deals with Tier 1 global system integrators. Expands GSI relationships, builds CXO-level engagement, develops joint business plans, scales partner programs, aligns with field sales, and manages a team of at least two against a $5M+ quota. Owns forecasting, pipeline reviews, QBRs, partner scorecards, and CRM discipline.

Leads enterprise SaaS sales across the Eastern United States, driving new customer acquisition, regional revenue growth, pipeline development, forecasting, and complex consultative deal execution. Builds relationships with senior and C-level stakeholders in contact center and customer experience organizations, manages strategic accounts, and collaborates cross-functionally with marketing, product, and delivery teams. Also coaches and develops sales professionals while executing regional go-to-market strategies.

Owns revenue growth through Tier 1 global system integrator partnerships. Responsibilities include managing quotas, joint account planning, enterprise sales cycles, executive relationship development, complex negotiations, partner-sourced opportunities, forecasting, and cross-functional collaboration with Marketing, Product, Engineering, and Customer Success. The role focuses on closing multi-million-dollar AI solution deals and expanding GSI-driven deployments.

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.

Own revenue growth through Tier 1 global system integrator partnerships. Lead enterprise AI sales engagements from opportunity identification through close, manage joint account planning, negotiate complex agreements, build executive relationships, forecast pipeline in Salesforce, and collaborate with Marketing, Product, Engineering, and Customer Success to drive partner-sourced deployments and expansion.

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.

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.