Top Tech Jobs & Startup Jobs in NYC, NY

Drive enterprise sales and growth for Braze AI by engaging executive customers, identifying high-impact applications, supporting proofs of value, enabling sales colleagues on reinforcement learning, coordinating with technical implementation teams, communicating customer needs to product and marketing, and representing the company at major industry events.

Leads global Solutions Consulting support teams across value consulting, proposal writing, program management, and partnership solutions. Oversees managers and regional leads, aligns priorities with Sales, Partnerships, PMM, and Solutions leadership, establishes operating metrics and reporting, manages staffing and organizational growth, and ensures consistent processes and high-quality support across AMER, EMEA, and APAC.

Support AMER sales leadership through territory, quota, and capacity planning; improve scalable sales processes; build dashboards and reporting in Tableau, Looker, Salesforce, and related tools; maintain accurate forecasting data; and identify AI-driven workflow improvements. The role partners with Business Systems and senior sales leaders to deliver data-driven recommendations, automate processes, and improve sales operations efficiency.

Drive new-business sales for Braze’s SaaS customer engagement platform within media, entertainment, gaming, and sports. Prospect, build relationships, present personalized engagement strategies, navigate complex enterprise buying processes, and close quota-carrying deals. The role requires strong SaaS sales experience, digital culture fluency, storytelling, networking, CRM proficiency, and collaboration with Marketing and Sales Enablement on lead-generation strategy.

Lead the escalation and operational management of core IT services, resolving complex Service Desk issues and serving as a Tier 3 resource for macOS, networking, hardware, Google Workspace, Okta, Zscaler, Slack, and related SaaS tools. Responsibilities include incident response, root-cause analysis, security remediation, automation through scripting, documentation, vendor management, business continuity, and mentoring IT team members.

Supports People Analytics by maintaining Workday and Looker dashboards, auditing data across Workday, Greenhouse, and Snowflake, and producing reports and ad hoc analysis. Transforms people data into actionable insights, responds to reporting requests, supports advanced statistical analysis, and partners with People, BI, Data Engineering, and IT stakeholders. The role also follows data governance and security standards while managing reporting priorities independently.

Lead the Landing Pages engineering team, overseeing product vision, architecture, scalable web systems, APIs, integrations, reporting, and delivery. Partner with product and design to prioritize features and grow adoption. Recruit, coach, and retain engineers while guiding technical decisions and occasionally contributing code.

Manage and expand a portfolio of strategic enterprise accounts while pursuing new business across media, entertainment, gaming, sports, and related industries. Build C-suite relationships, provide industry thought leadership, lead consultative value selling, develop multi-threaded account strategies, collaborate cross-functionally, and maintain accurate pipeline forecasts using Salesforce and Clari.

Own product marketing for Braze Decisioning Studio, including positioning, messaging, launches, competitive strategy, pricing and packaging input, field enablement, and portfolio narrative. Translate complex AI and data technologies for technical and business audiences, influence product roadmaps, engage customers and analysts, create thought leadership, and measure impact through pipeline, adoption, expansion, and competitive win rates.

Lead the technical vision and delivery of production machine learning systems, including distributed model training, serving, lifecycle management, and customer-specific model pipelines. Drive cross-team initiatives, establish engineering standards, review designs and code, mentor senior engineers and data scientists, and connect technical decisions to customer and business outcomes. Build scalable, reliable ML platforms and high-throughput prediction services supporting personalized customer engagement.