Top Tech Jobs & Startup Jobs in NYC, NY

Supports Veterans Health Administration implementation of the Emergent Suicide Care benefit. Responsibilities include program and process evaluations, gap analyses, policy and SOP reviews, qualitative and quantitative data analysis, metrics development, risk management, stakeholder coordination, workplan tracking, and client-facing presentations. The role develops actionable recommendations, communication materials, and operational improvements while supporting complex healthcare policy implementation in a sensitive federal environment.

Test software across the development lifecycle, including Pega/QFD workflows, functionality, security, performance, UX, and data validation using Snowflake SQL. Create test plans, execute tests, document defects and evidence in Jira and BrowserStack, verify regulatory coverage, support SOC2 and PCI-DSS audits, investigate customer issues, participate in Agile ceremonies, and collaborate cross-functionally on release readiness.

Leads complex Azure Databricks and Lakehouse consulting engagements from discovery through production delivery. Owns technical vision, enterprise architecture, governance, security, performance, reliability, and cost optimization. Conducts workshops, oversees delivery, supports pre-sales and solution planning, develops reusable consulting assets, and mentors multidisciplinary teams. Partners with executives, architects, engineers, Microsoft, Databricks, and customers to align platform strategy with business outcomes.

Leads full-cycle talent acquisition for Global Medical Affairs, partnering with senior leaders to develop recruiting strategies, source passive candidates, manage interviews, negotiate offers, and support onboarding. Provides talent market insights, guides hiring decisions, maintains ATS data, improves recruiting processes, and supports organizational growth within a biotechnology environment.

Assists with designing, implementing, debugging, and maintaining software code. Participates in code reviews, QA efforts, documentation, Agile ceremonies, and collaborative problem-solving while developing foundational software engineering skills.

Leads and develops seven Account Executives selling privacy-focused healthcare technology to provider organizations. Owns team revenue targets, pipeline generation, forecast accuracy, deal strategy, negotiations, win rates, sales methodology adoption, and talent development. The role is a hands-on player-coach position requiring direct involvement in strategic deals, executive engagement, complex B2B sales, and repeatable go-to-market strategies.

Leads and develops Experience Cloud Specialist teams supporting government customers with platform adoption, migrations, upgrades, renewals, and expansions. Establishes sales operating models, coaching programs, forecasting, pipeline governance, enablement, and cross-functional processes. Partners with Sales, Customer Success, Product, Finance, Legal, and executives to advance strategic opportunities, improve customer outcomes, and achieve revenue objectives. Oversees complex customer engagements, AI-enabled workflow improvements, commercial execution, and team performance.

Reviews and edits technical deliverables for a DoD cybersecurity risk management program. Ensures quality, accuracy, version control, repository submission, and on-time delivery of contract products. Coordinates with task leads, project managers, and stakeholders; maintains templates and monthly status reports; supports technical briefings and governance materials. The position is remote within the United States and requires a current DoD Secret clearance, U.S. citizenship, and occasional travel.

Leads aerospace and defense business development, identifying government funding and shaping requirements before solicitations. Builds relationships with defense agencies, labs, congressional staff, and prime contractors; selects rapid contracting pathways; leads capture, proposals, pricing, and IP strategy; transitions prototypes into production and programs of record; forecasts pipeline and closes high-value government orders. Requires strong defense contracting knowledge, government networks, proposal-writing ability, technical aptitude, and approximately 50% travel.

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.