Top Tech Jobs & Startup Jobs in NYC, NY

Provides global employee relations guidance, performance management coaching, and support to HR leaders and employees. Leads workplace investigations, develops and updates employee relations policies, analyzes workforce data, prepares leadership reports, and collaborates with HR, Legal, Benefits, Compensation, DEI, and leadership teams to ensure compliant and effective employee relations processes.

Leads the paid media delivery team, serving as the internal expert for Google Ads, Meta Ads, social, and programmatic channels. Builds automation, coaches managers and specialists, maintains channel expertise, pilots emerging platforms, and coordinates with the PMO on resourcing and delivery. The role focuses on scalable systems, documented processes, team development, and operational excellence rather than client relationships or direct execution.

Supports development of pitch materials, RFP responses, and business proposals by researching client needs, drafting and editing content, organizing proposal libraries, coordinating cross-functional contributions, tracking deadlines and submissions, and ensuring materials are accurate, persuasive, and brand-compliant.

Own the supply-side ecosystem by developing DSP network strategy, sourcing and onboarding delivery partners, negotiating contracts, managing relationships, and driving delivery performance. Lead KPI tracking, scorecards, performance improvement plans, operational playbooks, incident management, and cross-functional initiatives. Analyze delivery data to identify root causes and improve supply operations at scale.

Conduct talent research and veterinary market mapping, build and maintain candidate pipelines, review recruiting activity in Greenhouse and Gem, verify and organize candidate data, resolve duplicate records, and support sourcing campaigns and recruiting events. Use AI tools to improve research efficiency while validating accuracy. Collaborate with sourcing partners, manage deadlines, and improve recurring recruiting processes during a three-month contract assignment.

Lead research and development of generative AI and deep learning models for Yahoo Mail at massive scale. Responsibilities include fine-tuning foundation models, applying LoRA and quantization, knowledge distillation, building evaluation frameworks, developing agent-based systems, creating scalable training workflows, integrating AI development tools, and mentoring researchers and engineers. The role emphasizes NLP, production-grade model optimization, low-latency performance, and strategic AI direction.

Administers and optimizes Amazon Connect and enterprise service center platforms, including routing, queues, IVR workflows, permissions, telephony, digital channels, and conversational AI. Provides production support, incident resolution, vendor escalation, release testing, documentation, and platform monitoring. Partners with Operations, Engineering, Clinical, and Analytics teams to implement configurations, validate reporting, improve workflows, and maintain reliable communication infrastructure.

Generates new-logo pipeline through outbound prospecting across oil and gas, utilities, and industrial accounts. Partners with account executives on key-account plans, engages potential channel partners, qualifies inbound and outbound leads, books discovery meetings, and maintains accurate activity and lead data in HubSpot. Success is measured by qualified meetings, SDR-sourced pipeline, opportunities, and partner conversations.

Own the full sales cycle for new commercial business, from outbound prospecting and pipeline generation through consultative discovery, demonstrations, negotiation, and closing. Build relationships with Talent Acquisition and Engineering leaders, use AI and modern sales tools, achieve pipeline and revenue targets, maintain accurate forecasts, and collaborate with Marketing and Sales Development to improve conversion and go-to-market strategy.

Leads the development of an agency operations function modeled like a product team. Builds the team, prioritizes internal needs, defines roadmaps, improves workflows and tools, drives adoption, and oversees ongoing reliability and iteration. Partners with operators, developers, founders, and global agencies to create intuitive systems that reduce friction and improve collaboration. Requires strong product judgment, empathy, leadership, systems thinking, and sophisticated understanding of AI.