Top Tech Jobs & Startup Jobs in NYC, NY

Manage a portfolio of corporate and public sector credit relationships alongside Relationship Managers. Underwrite credit exposures, grow and retain client relationships, close new business, manage credit risk, respond to credit inquiries, and support joint sales activities to identify and meet customer needs.

Provide legal support for U.S. Bancorp Impact Finance focusing on debt financings for energy and infrastructure projects (midstream, LNG, thermal, transmission). Perform due diligence, draft and negotiate financing and project documents, ensure regulatory and policy compliance, advise business teams, collaborate with internal and external counsel, and support process and product development in a regulated environment.

Front-office quantitative role developing and implementing pricing, risk, and analytics models for commodity derivatives. Support research, build pricing and curve methodologies across commodities, value exchange-traded products, integrate models into analytics platforms, and collaborate with trading, risk, model governance, and technology teams for model approval and deployment.

Define and own product strategy and roadmap for AI-driven digital experiences. Translate business needs into requirements, prioritize backlog, partner with engineering and design, use data and AI insights to drive personalization, experimentation, and optimization, and monitor post-launch performance while ensuring cross-functional alignment and regulatory/risk considerations.

Own product strategy and roadmap for digital engagement, manage end-to-end digital experiences, define and track KPIs, leverage data and AI for personalization and automation, translate business needs into user stories and acceptance criteria, partner with design and engineering in agile delivery, run experiments (A/B tests), and monitor post-launch performance to iterate and optimize.

Review pre- and post-closing real-estate loans to verify insurance coverage, flood determinations, and regulatory compliance; resolve deficiencies with lenders and insurers; maintain tracking records; support audits, regulatory exams, policy updates, and training to ensure adherence to Credit Policy and federal flood regulations.

Design, build, deploy, and monitor production machine learning and statistical models for identity, entity resolution, and measurement. Clean and transform large datasets, engineer features, define success metrics and experiments, collaborate with engineering and product, produce reproducible code and dashboards, and mentor other data scientists.

Lead and scale cross-functional GTM programs to drive pipeline, accelerate deal cycles, and improve win rates. Define strategy, metrics, and operating processes; partner with Sales, Marketing, Product, Enablement, and Operations; translate strategic priorities into repeatable initiatives and drive end-to-end program execution and stakeholder alignment.

As a Solutions Engineer at Kernel, you will drive the technical sales process, architect customer solutions, troubleshoot integration issues, and collaborate closely with customers and the engineering team to ensure success with infrastructure for AI applications.

Build open-source tools, SDKs, demos, and docs to improve Kernel's developer experience; create tutorials and content; engage and support the developer community on GitHub/Slack/Discord/Twitter; assist enterprise customers with hands-on solutions engineering and influence product direction as an early team member.

Manage a portfolio of up to 10 enterprise customers ($6M ARR), act as trusted advisor to drive adoption, retention, and expansion of the WalkMe platform. Run EBRs, develop success plans, monitor customer health, identify risks and remediation, and partner with account teams to achieve renewals and growth.

Provide commercial contracting support across SaaS, licensing, services, channel and vendor agreements. Build templates, playbooks, and workflows. Advise on IP, privacy, security, and AI-related regulatory issues. Collaborate cross-functionally with sales, operations, and product; negotiate complex deals and support scaling legal operations.

Design, build, and operate Developer Intelligence platform components that collect and correlate engineering telemetry, integrate AI/LLM tooling into SDLC workflows, improve observability, automate developer workflows, and mentor peers while resolving architectural and operational bottlenecks.

Lead architecture and delivery of developer platform systems that improve engineering velocity across the SDLC. Build and operate telemetry, observability, data pipelines, CI/CD and AI-assisted tooling to automate testing, troubleshooting, change analysis, and workflow orchestration. Drive large cross-functional initiatives, mentor engineers, raise technical standards, and standardize platform tooling at scale.

Develop and execute a scalable customer success strategy across the customer lifecycle to maximize adoption, value realization, retention, renewals, and expansion; strengthen client relationships; implement churn-reduction processes and risk alerts; collaborate with GTM, Product, and Engineering to turn customer feedback into product improvements; recruit and lead a high-performing customer success team.

Design and own platform-level systems that power reliable, safe AI agents in healthcare. Define architecture and standards, solve ambiguous reliability/performance/data problems end-to-end, make build vs buy decisions, and mentor senior engineers while ensuring systems operate robustly in production.

Lead end-to-end technical delivery of AI deployments for healthcare customers: set architecture, decompose ambiguous problems into deliverable work, own timelines and tradeoffs, mentor engineers, and work directly with customers to ensure production-quality LLM and agent-based systems. On-site in New York City.

Lead end-to-end partner integrations into new verticals (insurance, utilities, auto). Scope, build, launch, and maintain billing/payment integrations; triage reliability issues; accelerate time-to-integrate through tooling and process improvements; coordinate BD, engineering, and operations to scale repeatable integration patterns.

As a Senior Staff Decision Scientist, you will optimize payment decisioning strategies, analyze risk data, and collaborate to improve platform performance and user experience.

The Director of Product will lead the payments platform strategy, oversee transaction processing and fraud management, drive cost efficiencies, and manage a product team while aligning with engineering and risk stakeholders.