Top Tech Jobs & Startup Jobs in NYC, NY

Lead development and execution of marketing campaigns and product launches for advertising products. Train and support sales, analyze campaign performance, set pricing strategies, mentor marketing staff, and report results to senior management to optimize ROI and drive business growth.

Territory-focused enterprise account executive responsible for acquiring and managing mid-market and multi-location customers. Develops territory strategy, generates leads through prospecting, delivers live sales presentations, and sells complex managed solutions. Builds partner relationships, ensures customer retention and operational alignment, and maintains sales records and reporting.

Lead supply-chain strategy and Kinaxis implementations to optimize end-to-end visibility, reduce costs, and improve responsiveness. Analyze processes, advise on technology and analytics, manage stakeholder relationships, direct teams on complex projects, validate outcomes with clients, and coach staff to drive operational excellence and continuous improvement.

Partner with C-suite finance leaders to streamline finance processes, optimize technology (including GenAI), and improve controls. Lead finance transformation initiatives from strategy through execution, provide data-driven insights, mentor junior staff, review work for quality, and deliver cost-effective finance operations improvements.

Lead strategy engagements for technology-sector clients: analyze market trends, develop corporate and business-unit strategies, drive go-to-market and process transformation, manage and coach teams, build client relationships, and ensure project delivery and quality.

Design, build, and productionize agentic AI systems and retrieval pipelines for financial data. Participate across the ML lifecycle: framing, experimentation, deployment, monitoring, and evaluation. Collaborate with cross-functional teams to integrate proprietary structured and unstructured data, improve agent performance, and automate MLOps workflows for scalable, robust AI-driven products.

Support commerce strategy and marketing through KPI tracking, ad hoc and proactive analyses, dashboard/report creation (Data Studio/Looker), executive presentations, and market/competitive research to drive revenue, profit, and growth while ensuring reporting accuracy and cross-functional collaboration.

Lead a cross-functional scrum team to deliver DSP/SSP integrations and scalable ad tech platform capabilities. Drive programmatic partner onboarding, activation scalability, identity- and taxonomy-based targeting, and monetization initiatives. Partner with operations, revenue, engineering, and analytics to optimize interoperability, reporting, and campaign performance while communicating roadmap priorities and measurable outcomes to stakeholders.

Lead and grow the Infrastructure team owning cloud infrastructure, deployment pipelines, LLM infrastructure, database platform, observability, and incident response. Drive platform strategy toward self-serve infrastructure, reduce blast radius, ensure reliability and performance of the FastAPI/Python monolith on AWS, and partner with Security and product teams to define production readiness for AI workloads.

Lead development of AI-powered patient experiences: LLM-driven intake and therapist matching, between-session support, evaluation and safety infrastructure, outcome measurement, and HIPAA-compliant product delivery. Partner with Engineering, ML, Data Science, Clinical, and Legal to ship and monitor models in production, write evals, design red-teaming and human-in-the-loop flows, and measure patient outcomes.

Lead day-to-day accounting operations and a team of four accountants. Own month-end/quarter/year-end close, reconciliations, technical US GAAP accounting, audit support, and payroll accounting. Drive automation using LLMs/AI, implement process improvements with Netsuite/Workday/Ramp, and partner cross-functionally on strategic accounting projects and audit readiness.

Perform routine monitoring, maintenance, and basic troubleshooting of enterprise IT platforms. Follow documented procedures, escalate unclear or nonstandard issues, assist with system lifecycle tasks, and communicate status within the IT operations team under regular supervision.

Provide phone-based operational support for advisors and clients on managed account and trading platforms. Facilitate transaction requests and account administration, serve as platform subject-matter expert, identify process improvements, assist consultant and portfolio specialist teams, and follow daily schedules and personal brokerage reporting requirements.

Design, build, and operate secure, scalable AWS cloud platforms using IaC (Terraform), Kubernetes/EKS, and automation. Implement SRE practices, build reusable platform tooling (Python/Go), integrate security and compliance, improve observability and incident response, and collaborate with architecture, security, and application teams to support production environments.

Manage and resolve complex, escalated employee benefits issues with a retirement focus (401(k), pension, DCP). Serve as SME for retirement plans, lead executive benefit orientations, partner with vendors and cross-functional teams, mentor staff, and recommend process improvements to enhance service delivery and employee experience.

Own the end-to-end onboarding experience for new customers: manage project plans, deliver tailored onboarding calls, align stakeholders, resolve risks and inquiries, guide product configuration and payroll readiness, and hand off completed implementations to cross-functional teams.

The Senior Account Executive will manage the sales pipeline, prospect for new business, leverage existing relationships, and advocate for customers to drive growth in the PEO sector.

Own large-scoped projects end-to-end, collaborate with cross-functional teams, improve performance, reliability, and scalability of core systems, extend high-volume processing infrastructure, enhance testing/monitoring/CD, mentor engineers, and ensure sensitive data security.

Own the full sales cycle for Financial Services clients: prospect, close new business ($50K–$500K ARR), and manage/farm 8–14 accounts with Customer Success. Act as a strategic, consultative advisor, generate and manage pipeline, drive value-first conversations, and help buyers navigate large SaaS investments while collaborating with marketing, product, and technical stakeholders.

Own the full sales cycle for Scale Retail: prospect, qualify, and close new SaaS business. Act as a trusted advisor to Marketing/Product/Technical executives, drive consultative, value-first conversations, manage pipeline, and use data-driven approaches to influence stakeholders and accelerate large, distributed purchasing decisions.

Build, operate, and automate Braze’s internal Infrastructure-as-a-Service and large-scale background processing frameworks. Collaborate with product teams to design scalable, observable systems, improve reliability via automation, and own scaling, failure modes, and operational safety. Implement tooling for capacity management, observability, and developer ergonomics. Participate in on-call rotation, incident response, and post-incident retrospectives to drive continuous improvement.

Lead enterprise cryptographic readiness focused on post-quantum preparedness and crypto-agility. Build and maintain cryptographic inventories, assess risks, define standards, review architectures, guide migrations (keys, algorithms, certificates, libraries), and drive cross-functional remediation and roadmaps alongside engineering, product, and security teams.

Lead and grow a team of data scientists for SoFi’s consumer finance businesses. Prioritize and deliver high-impact data science and ML projects, build data pipelines, deploy and monitor models in production, mentor engineers, recruit talent, and collaborate cross-functionally with product, engineering, finance, risk, and executives to drive data-informed business decisions.

Lead Strategic Finance for SoFi Checking & Savings and Credit Card: own multi-year planning, forecasts, unit-economics modeling (LTV/CAC), capital-allocation, scenario analysis, business cases, and post-investment measurement. Partner cross-functionally, synthesize insights for executive leadership, scale AI use cases, and manage and develop a high-performing finance team.