Top Tech Jobs & Startup Jobs in NYC, NY

Manage relationships with enterprise merchants from onboarding through adoption, retention, and expansion. Serve as a strategic advisor and product expert, helping brands optimize loyalty programs and achieve measurable growth. Resolve escalations, address merchant issues, champion customer needs internally, and collaborate with Account Executives, Solutions Engineering, Product, and other teams to improve outcomes and platform usage.

Lead CRM and AI solution sales for major financial institutions. Develop territory strategies, identify and validate opportunities, conduct executive briefings and discovery workshops, and close new business. Serve as the financial-services CRM authority, partnering with solution consultants, account teams, implementation partners, and resellers. Enable sales and development teams, accelerate sales cycles, and drive adoption of ServiceNow’s CRM and AI-powered workflow solutions. Travel requirements are 30–50%.

Build and maintain relationships with high-value players, drive revenue and loyalty, manage communications and events, provide promotions and game offerings, collect feedback, respond to escalations, and follow VIP and responsible gaming policies. The role requires customer-facing or sales experience, analytical decision-making, gaming licensure, and availability for travel, nights, and weekends.

Leads a global Windows infrastructure engineering team supporting on-premises and Azure compute environments. Responsibilities include people leadership, project and incident delegation, change governance, escalation management, vulnerability remediation, roadmap development, technical debt reduction, licensing management, and operational SLA oversight. The role also requires hands-on expertise with Windows Server, Azure or AWS, infrastructure automation, PowerShell, Active Directory, MECM/SCCM, virtualization, hybrid cloud architecture, and technical documentation.

Independent contractor real estate agents show homes, host open houses, and attend inspections on a flexible schedule. The role provides customer opportunities without requiring sales contracts or transaction closings. Agents must hold a state real estate license, affiliate exclusively with Redfin, join the local MLS and Realtor Association, use required devices, and travel throughout their market.

Own the Salesforce product roadmap, prioritization, configuration, data quality, integrations, user adoption, and AI evolution. Partner with Sales, operations, client service, engineering, administrators, and Data leadership to translate business needs into requirements, manage delivery, coordinate releases, and communicate technical trade-offs. Configure Salesforce directly, improve CRM usage and data integrity, and advise on the Data team's roadmap.

Build and own Atmos Clinic’s iOS and Android applications from early prototypes through launch and scale. Responsibilities include mobile architecture, API integration, authentication, testing, observability, release automation, AI-native care interactions, payment experiences, and polished UX. The engineer will work directly with founders, make product and technical decisions, iterate based on user feedback, establish engineering standards, and help recruit and grow the mobile team.

Conduct in-home consultations for doors, windows, and window treatments; assess customer needs, recommend solutions, present options, manage appointments, follow up on leads, close sales, and coordinate with contractors and installers. The role requires customer relationship building, flexible Tuesday–Saturday availability, a driver’s license, reliable transportation, MVR approval, and obtaining a salesperson license where required.

Lead and scale B2B sponsorship and media sales across Covers and Oddspedia. Own end-to-end sponsorship deals with Tier 1 operators, build commercial playbooks for game provider partnerships, set pricing and monetization standards, run forecast-driven operating cadence, partner cross-functionally on marketing and intelligence, and represent the company at industry events to drive high-margin, premium sponsorship revenue.

Build and optimize large-scale machine learning training and inference systems for real-time trading applications. Responsibilities include distributed training pipelines, experiment automation, GPU and low-level performance optimization, low-latency inference, scalable model infrastructure, framework improvements, and evaluation of ML tooling. The role requires production software engineering, strong ML fundamentals, systems thinking, performance measurement, and collaboration with quantitative researchers and engineering specialists.