Top Tech Jobs & Startup Jobs in NYC, NY

The Business Development Manager drives revenue growth through strategic partnerships, supporting deal lifecycles, building business cases, scouting markets and distribution channels, and monitoring portfolio performance. The role coordinates with Legal, Finance, Product, publishing labels, and business units; translates financial and operational data into executive presentations; and delivers recommendations to leadership. Candidates need business development or related experience, strong analytical and communication skills, contract knowledge, and adaptability.

Lead design, governance, and delivery of disputes-focused training for internal and BPO teams. Build curriculum aligned to Reg E/Reg Z/CFPB, use QA insights to prioritize content, track learning effectiveness, and ensure audit-ready compliance. Expand training coverage across Risk Operations and manage onboarding, readiness standards, and facilitator materials.

Build and ship end-to-end full-stack features across frontend, backend, APIs, databases, and cloud infrastructure. Develop AI-powered capabilities, integrate external services, optimize performance, write unit and integration tests, conduct code reviews, mentor junior engineers, and participate in production support. Collaborate with product, design, and engineering partners to define requirements, make architectural decisions, and deliver reliable, accessible user experiences.

Own renewals and expansion for an assigned portfolio of existing SMB and mid-market SaaS customers. Identify upsell opportunities, manage commercial conversations, maintain pipeline and forecast hygiene, and coordinate with Sales Engineering, Customer Engineering, Sales leadership, and account executives. Help establish the company’s expansion sales playbook and territory model as a founding member of the function.

Represent buyers and sellers through residential real estate transactions, generate and convert leads, win listings, close deals, and build referral business. Use Redfin’s CRM and technology platform to manage the client pipeline, collaborate with support teams, and serve customers throughout the local market. Agents must maintain an active real estate license, travel within the market, provide required auto insurance, and deliver strong communication and customer service.

Develops and executes brand and marketing creative across campaigns, social media, presentations, web, and print. Partners with marketing and content teams on visual storytelling, maintains brand guidelines, creates polished marketing materials, uses data and trends to guide decisions, and collaborates with vendors and agencies. The role requires strong web and responsive design skills, visual storytelling, typography, layout, communication, and end-to-end project ownership.

Investigate fraud and AML alerts, analyze customer and transaction activity, document findings, and escalate suspicious or time-sensitive risks. Support AML, BSA, sanctions, and financial crime compliance programs; maintain monitoring rules and controls; identify emerging risks and trends; assist with risk assessments, audits, regulatory inquiries, and examinations; and collaborate with Risk, Legal, Compliance, and business teams.

Build business cases and financial models for enterprise marketplace opportunities, quantify growth and operational impact, present recommendations to C-level prospects, support complex sales deals, develop commercial frameworks, and create AI-enabled workflows. The role also involves executive storytelling, benchmark development, pricing and deal-structure support, and representing Mirakl externally.

Conduct quantitative research for automated trading strategies by developing mathematical models, translating algorithms into code, backtesting trading signals, analyzing unconventional data, and refining monetization systems. Collaborate with senior researchers during an 11-week post-doctoral internship while applying advanced probability, statistics, machine learning, and time-series techniques to financial markets.

Lead the end-to-end development and operation of machine learning systems supporting customer retention, ranking, matching, recommendations, pricing, and lifetime value growth. Build scalable data pipelines and ML infrastructure across batch and real-time environments, while implementing model monitoring, observability, deployment, and performance optimization. Collaborate across engineering and science teams and promote strong software engineering practices.