Top Tech Jobs & Startup Jobs

Leads application, cloud, infrastructure, and AI security engineering for an enterprise AI platform. Owns security strategy for agentic AI, including runtime controls, sandboxing, red teaming, identity, cloud posture, CI/CD security automation, threat modeling, vulnerability remediation, and compliance controls. Manages distributed security teams, partners with engineering and executive leadership, and translates emerging AI and cloud risks into measurable security priorities.

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.

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.