Top Tech Jobs & Startup Jobs in NYC, NY

The Senior Software Engineer will own end-to-end features in a deep tech stack across frontend and backend, focusing on scalability and reliability while actively participating in code reviews and team communication.

The Legal Recruiting Coordinator manages various aspects of legal hiring, coordinates interview logistics, reviews resumes, and supports junior recruiting team members. They maintain recruitment data, organize law school programs, and interact with candidates and law professionals.

As a Customer Deployment Engineer, you will build customer POCs, enhance onboarding processes, and advocate for user needs within the company.

The Staff Product Engineer will set architectural direction for new AI-based developer tools, drive product development, mentor engineers, and ensure reliability and performance of production outcomes.

Act as a technical advisor for enterprise customers, lead complex pre-sales cycles (discovery, PoCs, demos, proposals), design integrations and architectures, handle security/compliance/procurement during deals, collaborate with Product/Engineering/Legal/CS, and support onboarding and expansion to drive adoption and upsell.

Build and ship end-to-end ML/AI systems (traditional ML, NLP, LLMs/AI agents) on transaction, merchant, and location data. Prototype, productionize, and monitor models, collaborate with engineering and product, and (for senior hires) shape roadmap and mentor teammates.

The Corporate Communications Lead will craft Workwhile's media narrative, create engaging content on labor trends, manage academic relations, and respond proactively to media events to position the company as a leader in labor market intelligence.

Support the firm's expansion by conducting product demos, gathering market feedback, and collaborating with product teams on client needs. Utilize market expertise to enhance trial strategies and client solutions.

As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.

Lead creation and execution of the CX AI program: set roadmap, design AI-driven support workflows, launch and A/B test flows, track performance metrics, and build operational systems (QA, documentation, reporting) to automate and improve customer experience and business outcomes.