Top Tech Jobs & Startup Jobs

Develops and executes business and commercial strategy for S&P Global’s iLEVEL Private Markets solutions. Gathers client and stakeholder feedback to shape product and data roadmaps, supports sales opportunities, manages strategic partner requirements, and represents the business at client meetings and industry events. The role also authors private markets thought leadership and leads high-visibility initiatives to improve cross-product client experience and continuity.

The role involves driving software development initiatives, collaborating with teams, and contributing to enterprise architecture and agile practices for web services and data processing.

Sells new and used vehicles by consulting with customers, demonstrating products, overcoming objections, and following up with buyers to build referrals. The role requires product knowledge, relationship-building, professional communication, reporting to sales management, and flexibility to work evenings and weekends. Candidates must have at least one year of experience, a valid driver’s license, and a clean driving record.

Manage and scale B2B partnerships by generating and qualifying leads, running deal cycles, closing partnership revenue, and maintaining pipeline forecasts. The role includes outbound prospecting, partner presentations, negotiation, CRM hygiene, reporting, playbook development, and scalable process creation. The manager collaborates with Operations, Marketing, and Science to improve handoffs, conversion, and retention in a remote-first startup environment.

Build and maintain front-end features, back-end services, and RESTful APIs for client projects. Write clean code, automated tests, and bug fixes; improve application reliability and performance; use Git and established workflows; participate in Agile ceremonies and code reviews; communicate with engineers, teams, and clients; and progressively own larger tasks while learning new technologies.

Build and maintain front-end features, back-end services, and RESTful APIs on client projects. Write clean code, automated tests, and Git-based workflows; debug defects and improve reliability and performance. Participate in planning, standups, retrospectives, and code reviews while communicating with senior engineers, internal teams, and clients. Take ownership of scoped tasks, learn new technologies quickly, and grow through mentorship and feedback.

Chief of Staff partnering directly with the CEO to improve company operations, product execution, metrics, leadership effectiveness, and AI enablement. The role owns the product operating system, cross-company dashboards, roadmap coordination, executive meeting processes, strategic product insights, and high-impact special projects. It requires a highly quantitative, product-oriented operator who can lead independently, communicate exceptionally, and drive accountability across a remote, founder-led startup.

Designs, deploys, and governs AI platform capabilities across Azure and Snowflake. Responsibilities include operating MCP servers, integrating AI clients and agents with enterprise systems, implementing secure data access and governance controls, establishing APIs and connectivity patterns, and supporting compliance audits. The role also collaborates with data, security, infrastructure, and product teams on data quality, lineage, observability, identity management, network security, and optional Microsoft 365 integrations.

Develop and maintain advanced iOS applications and scalable Node.js APIs for healthcare environments. Integrate REST, GraphQL, third-party services, and event-driven systems while supporting offline synchronization with NoSQL databases. Manage containerized deployments and cloud infrastructure using Docker, Kubernetes, GCP, and Anthos. Ensure HIPAA-compliant data handling, secure authentication, observability, performance, testing, and maintainability. Collaborate cross-functionally, contribute to architecture decisions, troubleshoot applications, and mentor junior developers.

The Data Migration Engineer will migrate and rebuild data pipelines from SQL Server to Snowflake using Matillion. Responsibilities include gathering business requirements, assessing data feeds, identifying gaps, replicating stored procedures and views, validating data accuracy, reconciling records, supporting migration testing, documenting decisions, collaborating with engineering teams, and transferring knowledge to internal users.

Supports aircraft interior modification programs for defense customers through engineering design, systems integration, certification, documentation, and technical leadership. Develops modification packages, reviews designs, evaluates impacts on aircraft systems, coordinates suppliers and cross-functional teams, and supports FAA certification and STC compliance. Manages work packages, schedules, risks, and technical deliverables while ensuring projects meet budget, quality, regulatory, and schedule requirements.

Own product marketing and growth strategy across thought leadership, content, demand generation, sales enablement, and marketing operations. Responsibilities include executive LinkedIn strategy, podcasts, reports, newsletters, outbound messaging, paid campaigns, audience segmentation, renewal and upsell collateral, attribution, lead scoring, AI-driven workflows, and performance optimization tied to revenue outcomes.

Own Eulerity's growth marketing strategy from thought leadership to demand generation. Lead executive LinkedIn strategy, podcasts, long-form content, newsletters, outbound and paid campaigns, SDR enablement, segmentation and upsell collateral. Build marketing automation, attribution and lead scoring models, and AI-driven workflows to scale operations and tie campaign performance to revenue.

Lead architecture and technical design for a tax-system modernization program. Analyze and convert legacy IBM mainframe applications, databases, interfaces, and batch processes while developing and maintaining COBOL tax accounting applications. Responsibilities include DB2 database design, data conversion, integration, testing, implementation, performance tuning, troubleshooting, maintenance, and technical support. The role requires collaboration with technical teams, stakeholders, and end users and involves hybrid work in Albany or Manhattan.

Designs and implements enterprise data architectures, lakehouse and analytics solutions using Databricks and AWS. Responsibilities include gathering requirements, creating architecture and technology roadmaps, developing technical documentation and data models, implementing mission-critical systems, delivering reporting and analytics solutions, and supporting post-production operations. The role also requires strong stakeholder management, communication, and documentation skills.

The Senior Site Reliability Engineer will improve the reliability, scalability, performance, and resilience of enterprise systems. Responsibilities include developing automation and self-healing solutions, reducing operational toil, managing cloud infrastructure, Kubernetes, containers, and microservices, and implementing observability through monitoring, logging, alerting, and distributed tracing. The role also handles incident management, root cause analysis, performance tuning, and capacity planning while collaborating across teams. This is a hybrid position requiring 50% onsite work in Albany or Manhattan, with the first week onsite in Albany.

Lead a focused team researching empirical prediction systems, including calibration, forecasting, subgroup performance, drift, and agentic prediction. Set research priorities, design rigorous experiments, build models from heterogeneous real-world data, and establish standards for temporal validity and prospective evaluation. Manage researchers, recruit and mentor talent, communicate evidence clearly, and transfer validated methods into production through cross-functional partnerships with population, evaluation, engineering, data, and product teams.

Lead Aaru’s Simulation Engineering team and own the quality, scalability, reproducibility, observability, and operational health of production AI simulations. Set architecture and productionization standards, build evaluation and regression systems, improve large-scale simulation performance, manage incidents and releases, collaborate across research and engineering, and recruit and develop high-performing engineers. The role remains hands-on, involving technical design, coding, debugging, and difficult tradeoffs among fidelity, calibration, latency, cost, and reliability.

Lead and develop a small team of Product Engineers while remaining hands-on in architecture, coding, debugging, and technical direction. Partner with Product and Design to define roadmaps, build reusable customer-facing capabilities, and establish quality standards for AI-native products. Own production reliability, security, permissions, latency, cost, observability, and incident follow-up. Recruit and mentor engineers, improve execution across workstreams, and create durable interfaces with platform, simulation, research, and deployment teams.