Top Tech Jobs & Startup Jobs in NYC, NY

Leads joint marketing strategy and execution with AWS and AI/ISV partners, driving demand, pipeline, customer adoption, co-marketing campaigns, events, content, product launches, and customer proof points. Manages marketing development funds, partner budgets, governance, ROI reporting, and scalable regional campaign programs while aligning product marketing, partner management, solution architecture, and regional marketing teams.

Leads global product and GTM alliance enablement from strategy through execution. Builds sales plays, positioning, demos, competitive readiness, certification, AI-enabled content pipelines, and tooling that help sellers adopt new products, increase consumption, improve deal velocity, and raise win rates. Partners cross-functionally with Product, Marketing, Alliances, GTM, sales leadership, and subject-matter experts while establishing metrics, operating rhythms, and scalable enablement processes.

Leads the strategy, processes, and AI-native systems that personalize sales and sales development enablement by role, tenure, segment, industry, and region. Builds apps, agents, skills, content, and automated workflows; partners with global and regional enablement teams; pilots and iterates programs; establishes metrics and operating cadence; and influences senior sales leaders to improve ramp time, seller productivity, pipeline, and win rates.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Leads the strategy and scaling of integrated marketing campaigns across demand generation, field, events, partner, and industry teams. Develops campaign frameworks, audience strategies, investment plans, channel activation standards, and regional requirements. Builds planning processes, templates, and feedback loops; translates campaign strategy into business requirements for campaign operations tools; and provides executive-level visibility into performance, investments, and campaign readiness.

Own day-to-day execution of Databricks’ global Meetings at Events program, including meeting intake, event logistics, contractor oversight, reporting, enablement, communications, documentation, and on-site support. Manage operational tools, dashboards, meeting outcomes, playbooks, and event workstreams while partnering with Sales, Marketing, Product, and Event Tech to improve processes and track performance.

Owns the commercial success of Databricks training and enablement offerings across enterprise accounts in the Americas. Partners with sales, customer success, professional services, and technical teams to diagnose skill gaps, design tailored learning plans, sell and deliver training programs, and measure adoption, renewal, revenue, and business impact. The role also influences executive stakeholders, develops scalable enablement frameworks, mentors colleagues, and identifies new opportunities for customer talent transformation.

Lead strategic compensation for R&D and engineering teams, partnering with founders and executives on cash, equity, retention, hiring, and promotion decisions. Design specialized incentive models, manage global merit and equity cycles, develop market pricing and pay-for-performance frameworks, and scale compensation operations. Apply quantitative analysis and automation to support complex compensation cases, executive hires, retention strategies, and M&A integrations.

Lead the design, deployment, reliability, and evolution of global unified communications, enterprise voice, conferencing, AV, and workplace technology infrastructure. Support office expansions, executive environments, and large-scale deployments; troubleshoot complex communication systems; build automation and operational tooling; coordinate vendors and cross-functional teams; establish scalable standards and documentation; and mentor engineers.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery, architecture reviews, agile delivery, testing, production readiness, launch, adoption, and strategic handoff. Build C-suite relationships, translate business needs into technical requirements, resolve delivery risks, and identify future high-value opportunities.