Top Tech Jobs & Startup Jobs in NYC, NY

Manage supplier onboarding from engagement to activation, serve as primary supplier contact, ensure content quality and technical integration, track KPIs, troubleshoot onboarding issues, and recommend process improvements.

Leads corporate FP&A, forecasting, long-range modeling, capital strategy, fundraising, board and investor reporting, IPO readiness, and finance team development. Partners with Accounting on metrics and public-company reporting standards while supporting hiring plans, M&A, and scenario analysis. Requires extensive corporate finance experience, hands-on IPO or public-company experience, SaaS metrics expertise, advanced financial modeling, and executive-level communication.

Own the Gameplay product roadmap and long-term vision for Chess.com, covering live games, daily games, and bot play. Partner with design, engineering, leadership, and executives to define product quality, scope, metrics, and success. Develop ideas, communicate asynchronously, run experiments, prototype with AI, and ship delightful consumer products at scale. The role requires deep chess knowledge, strong product judgment, high-velocity communication, and substantial overlap with Eastern US hours.

Engage warm marketing leads through phone, email, and LinkedIn to book qualified meetings for Account Executives. Progress into outbound prospecting, serve as the first customer contact, maintain accurate CRM records, contribute to pipeline growth, and collaborate with sales and marketing on messaging and content. The role is fully remote and suited to an early-career, coachable sales professional motivated by performance-based compensation.

Leads and transforms an inbound SDR organization supporting product-led growth. Owns pipeline generation, SDR hiring and coaching, lead scoring, routing, automation, reporting, attribution, GTM workflows, and conversion to MRR. Partners with Revenue Operations, Sales, Product, Marketing, and Lifecycle teams to optimize sales engagement, improve efficiency, implement AI-driven processes, and guide organizational change.

Conduct high-volume outbound prospecting through calls, email, and SMS to identify and qualify dealership leads. Manage the top of the sales funnel, reactivate lapsed dealerships, document activity in the CRM, meet performance KPIs, and deliver product pitches and mini-demos. Work remotely while developing product and industry expertise and converting prospects into active marketplace users.

Build and maintain Python automations and multi-system integrations for 401(k) administration. Responsibilities include developing API and webhook integrations, managing production jobs, troubleshooting errors, refactoring legacy code, deploying projects, improving logging and code quality, documenting processes, and collaborating with business users, vendors, and IT. The role requires ownership of automation projects from discovery through production and focuses on resilient, scalable workflow improvements.

Designs and supports enterprise DevOps tooling, including Jenkins, Bitbucket, and JFrog Artifactory. Responsibilities include disaster recovery, repository and artifact governance, open-source dependency security, DevSecOps controls, technical documentation, and platform migration support. The role also promotes AI tool adoption, provides project oversight, mentors colleagues, and works collaboratively with clients and engineering teams.

Manages the structuring, pricing, execution, and settlement of HMBS pools. Responsibilities include loan bidding, pricing, trade execution, market-risk monitoring, reporting, financial modeling, pool delivery, settlement coordination, and maintaining automated SQL, Python, VBA, and Power Automate workflows. The role supports liquidity, profitability, regulatory compliance, and secondary-market operations while collaborating with treasury, accounting, operations, investors, and counterparties.

Owns end-to-end technical architecture across Rails, Python machine-learning services, agent infrastructure, and data platforms. Leads scalability, reliability, cost optimization, model infrastructure, architectural reviews, technical roadmap decisions, incident response, code reviews, and engineering mentorship. The role remains hands-on, requiring production coding and expertise in computer vision, LLM systems, cloud infrastructure, databases, background jobs, Kubernetes, and DevOps practices.