Top Tech Jobs & Startup Jobs

Build and operate scalable, reliable full-stack systems for high-value international money transfers across web, mobile, and backend services. Lead architecture for complex customer experiences, meet strict availability and latency goals, use AI-native development practices, collaborate with product and design teams, and mentor engineers while strengthening coding, testing, observability, and system design practices.

Develop and operate autonomous AI agents and enterprise integrations using Databricks, Claude, MCP, and event-driven architectures. Build Databricks Apps, maintain MCP connectors, monitor agent performance, manage incidents, and document workflows, triggers, dependencies, and data sources. Partner with business, governance, and process teams to identify suitable agentic AI applications, particularly for go-to-market systems, while applying logging, auditing, naming, and change-management standards.

Lead Applecart’s internal AI adoption and governance strategy. Own the AI tools roadmap, data classification standards, usage guardrails, client confidentiality protections, incident response, and adoption reporting. Partner with Legal, Security, IT, Engineering, and business leaders to evaluate vendors, launch pilots, define success criteria, train employees, and build use-case libraries. The role combines strategic judgment, technical risk management, governance implementation, and organizational enablement in a high-confidentiality environment.

Analyze clinician platform data to identify behavioral patterns, develop product and client-facing analytics, and communicate actionable insights. The role collaborates with product managers, analysts, engineers, and other data scientists on projects spanning data ingestion, analysis, and recommendations. Responsibilities also include contributing to data team strategy and applying statistical methods, SQL, Python data libraries, visualization, and distributed data processing techniques.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Leads Growth Marketing and owns enterprise pipeline across demand capture and demand creation motions. Builds integrated, account-based growth programs, aligns Marketing, Sales, Alliances, Customer, and Revenue Operations, and manages BDR, digital advertising, demand generation, analytics, operations, and AI enablement teams. Establishes operating systems, measurement frameworks, and performance reviews while optimizing investment, conversion, pipeline quality, and revenue outcomes. Develops leaders and scales a commercially accountable growth organization in a complex enterprise SaaS environment.

Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.

Leads the Sustaining Engineering function for deployed Graphcore systems and data centre infrastructure. Builds and coaches a multidisciplinary engineering team, owns advanced technical support, and drives root cause analysis, corrective actions, reliability improvements, and serviceability enhancements. Partners with engineering, operations, manufacturing, quality, sourcing, and suppliers to resolve hardware, firmware, software, and system-level issues. Uses telemetry, service data, and failure-analysis outputs to identify trends, establish metrics, and translate operational insights into product and lifecycle improvements.

Own end-to-end recruiting for North American GTM, G&A, Product, Engineering, and Marketing roles. Build talent pipelines, advise hiring managers, coordinate interviews, evaluate candidates, manage offers and reference checks, and use ATS data to guide hiring strategy. The recruiter will develop diverse sourcing strategies, improve recruiting processes through automation and AI, support candidate experience in the NYC office, and partner with HR Operations on screenings and background checks.

Owns full-cycle recruiting for business roles, partnering with leaders to define hiring profiles, assess candidates, and close exceptional talent. Builds AI-powered recruiting systems, including sourcing pipelines, Ashby automations, candidate briefs, analytics, and reusable playbooks. Supports technical and forward-deployed engineering hiring as needed, strengthens employer branding, and applies AI thoughtfully while preserving human judgment.