Top Tech Jobs & Startup Jobs in NYC, NY

Own employee lifecycle data in Workday, including role changes, bulk updates, organizational structures, reconciliations, audits, and integration error resolution. Maintain data quality across payroll, benefits, and downstream systems; create scalable controls, reporting, and standardized processes; and partner with HRIS, Payroll, Benefits, and vendors to resolve root causes. Support internal mobility, position management, service tickets, and confidential employee data operations.

Designs secure, scalable enterprise AI architectures spanning data pipelines, AI/ML platforms, model selection, enterprise integrations, governance, privacy, security, and regulatory controls. Establishes foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation, helping move AI solutions from proof of concept to production across regulated industries.

Founding Product Lead owning an end-to-end product pod: define roadmap, drive revenue metrics, prototype and ship code, manage vendor/partner relationships, and engage customers constantly. Work is AI-native and regulated-payments focused across rails (USD, stablecoin, international). Pod-specific roles require domain expertise (onboarding, accounts/wallets, international rails with Spanish, or card acquiring).

The Business Development Representative will generate and qualify inbound and outbound opportunities for Mural’s cross-border payments infrastructure. Responsibilities include researching fintech prospects, personalizing outreach across email, phone, LinkedIn, and events, booking qualified meetings, documenting activity, and sharing market feedback with the GTM team. The role owns qualified meetings booked and partners closely with founders and Account Executives. Candidates should have fintech or payments sales experience, strong writing skills, familiarity with cross-border money movement, and daily experience using AI prospecting tools.

Build and run end-to-end talent acquisition as a founding hire: direct sourcing for senior roles, create inbound talent brand and content, design interview processes and scorecards, manage ATS and external agencies, use AI-agent tools, and own time-to-fill and quality-of-hire metrics while partnering with CEO and leadership.

Serve as a post-sales technical advisor for healthcare clients using conversational AI solutions. Lead scoping, architectural recommendations, deployments, configuration, testing, troubleshooting, and maintenance of AI agents. Coordinate with Engineering, Product, Customer Success, and Sales while aligning technical solutions with business goals. Manage client projects, anticipate deployment issues, and advise customers on best practices and product capabilities.

Own and scale Rebar’s cloud infrastructure and production operations across AWS and Kubernetes. Responsibilities include improving infrastructure and application performance, managing SOC 2 controls, implementing observability, completing environment partitioning, optimizing cloud spending, maintaining CI/CD, and mentoring engineers. The role requires operating distributed systems, containerized workloads, and production cloud environments while supporting migrations and continued company growth.

Own the technical side of enterprise sales opportunities, including tailored demos, trial design, regulatory analyses, ROI modeling, and technical success measurement. Prototype customer-driven capabilities, create internal tooling and enablement materials, and communicate product architecture, data sourcing, AI methodology, integrations, and deployment to technical and executive stakeholders. Collaborate with account executives, regulatory engineers, Product, and Engineering while supporting customer evaluations and roadmap development.

Build and lead scalable data and machine learning systems for an AI platform automating product regulatory compliance. Responsibilities include designing system architecture, selecting technologies, developing backend and internal services, collaborating with data and ML engineers, and balancing speed with scalability. The role requires strong Python, database, microservices, AWS, and Docker expertise, along with startup product development experience and technical leadership.

Lead the architecture and development of AI and NLP products that automate regulatory compliance for manufacturing companies. Own core models end to end, select technology stacks, guide experimentation and testing, balance speed with scalability, and collaborate with Product, Go-to-Market, Data, and customers to rapidly deliver production systems.

Own technical strategy for enterprise FedRAMP cloud infrastructure sales opportunities. Lead discovery, demonstrations, technical evaluations, proof-of-concepts, deployments, integrations, troubleshooting, and customer validation across observability, cloud-native infrastructure, security, and application environments. Partner with Account Executives and internal teams to address technical risks, communicate business value, and drive opportunities to successful technical close.

Lead technical sales for enterprise FedRAMP cloud infrastructure customers. Partner with Account Executives to conduct discovery, design solutions, deliver demonstrations, manage evaluations and proofs of concept, and support deployment, configuration, integration, troubleshooting, and validation. Advise technical and executive stakeholders on observability, security, cloud-native infrastructure, Kubernetes, and distributed systems while translating technical value into business impact.

Provides support for Hogan personality assessments, including test administration, scoring, report preparation, and coordination with consultants and clients.

The Executive Assistant supports the Global Head of Growth & Enablement by managing complex calendars, travel, meetings, expenses, executive materials, and sensitive information. The role coordinates town halls, offsites, webinars, and departmental initiatives while serving as a central operational partner across a global function. Responsibilities include meeting logistics, stakeholder coordination, executive briefings, project support, and collaboration with the broader executive assistant team.

Own end-to-end client relationships for a book of B2B SaaS customers: drive adoption, engagement, retention, and expansion of AI-powered contract drafting tools. Lead onboarding, training, large-scale rollouts, and translate customer feedback into product improvements while designing scalable CS processes and tracking health metrics to demonstrate value.