Top Tech Jobs & Startup Jobs

Lead a team of ML engineers building and operating scalable risk features, data pipelines, supervised and unsupervised models, LLM solutions, and explainability systems for financial crime monitoring. Responsibilities include productionizing ML applications, monitoring drift and bias, optimizing performance, developing Databricks pipelines, and collaborating with product, SRE, compliance, and operational teams.

Leads hands-on architecture and implementation of production-grade generative AI systems, including search, conversational AI, and agentic workflows. Designs retrieval pipelines, orchestration, dialogue management, and scalable backend systems while optimizing latency, reliability, observability, cost, and evaluation. Serves as the senior technical authority for LLM-powered applications, establishes engineering standards, conducts design and code reviews, mentors engineers, and partners with product and business stakeholders. The role requires deep software engineering, AWS, distributed systems, and regulated-environment experience.

Supervise Wealth Management financial advisors through account and book reviews, risk analysis, regulatory oversight, and escalation management. Monitor productivity, identify compliance issues and customer-impacting trends, refine review processes, update procedures, and ensure adherence to securities regulations and fiduciary requirements. Lead staff development, performance evaluations, recruiting, and retention while partnering with senior leaders and review teams to resolve complex issues. The role requires direct engagement with advisors and clients and travel up to 50% of the time.

Build and deliver revenue development programs for Sales and Customer Success managers and individual contributors. Own sales methodology reinforcement, coaching, role-based development, AI-enabled learning, manager-led reinforcement, external training partnerships, and performance measurement. Partner with Revenue, Operations, GTM Engineering, and Talent teams to diagnose capability gaps and improve manager behavior, seller skills, productivity, pipeline performance, conversion, ramp, and revenue outcomes.

Coordinate the full candidate journey, including high-volume interview scheduling, candidate communications, background checks, ATS administration, offer documentation, travel logistics, and recruiting events. Support talent acquisition operations projects, AI and automation tool pilots, KPI reporting, documentation, and process improvements while maintaining accurate recruiting data and a positive candidate experience.

Own bookings growth across new and existing NYC enterprise accounts. Generate pipeline, prospect, qualify, manage, and close complex sales opportunities while meeting or exceeding quota. Develop account strategies, acquire new logos, expand existing customers, present solutions in complex data center environments, and collaborate with sales engineers, channel teams, distributors, VARs, and partners. Provide market feedback and identify new business and channel opportunities.

Leads pre-sales professional services engagements, including scoping, proposals, quotes, statements of work, business cases, forecasting, and bookings. Partners with account executives, sales engineers, delivery teams, support, and resilience stakeholders to position services, conduct customer workshops, align scope with post-sale outcomes, and support larger deal closures. Requires expertise in change management, transformation, data protection, cloud, cyber resilience, and security. Travel is required up to 10%.

Develops regional strategic technology partnerships across AMER with AWS, Google Cloud, Snowflake, Databricks, and Shopify. Owns AWS Marketplace growth, co-sell relationships, partner funding programs, pipeline, forecasting, and referral operations. Enables Braze sales teams and partner field organizations, evangelizes joint solutions, and drives marketplace transactions, sourced and influenced revenue, field engagement, and clean Salesforce data. Collaborates across Sales, Marketing, Operations, Product, and global partnership teams.

Drive regional partner development across AMER for strategic technology partners including AWS, Google Cloud, Snowflake, Databricks, and Shopify. Execute joint go-to-market programs, grow AWS Marketplace revenue, manage partner funding and incentives, enable partner and Braze sales teams, and maintain accurate pipeline, forecasts, referrals, and marketplace data in Salesforce. Success is measured by pipeline growth, marketplace transaction volume, field engagement, and sourced or influenced revenue.

Owns end-to-end quality for Snap’s Direct Revenue experiences, including test strategy, mobile automation, compatibility, accessibility, privacy, compliance, localization, defect diagnosis, release readiness, and quality sign-off. The role partners across teams to manage integration risks, reviews code and tests, participates in on-call rotations, and uses AI responsibly to improve engineering efficiency. Candidates need mobile testing expertise, object-oriented programming skills, agile SDLC experience, and proficiency with standard quality engineering tools.

Build, deploy, and maintain machine learning models for Snapchat products. Apply ML techniques to ranking, recommendations, search, content understanding, image generation, and related applications. Contribute across data analysis, model training, evaluation, and production deployment while collaborating with cross-functional teams to launch scalable ML features and services. Use evolving AI tools and engineering practices while maintaining high standards for correctness, security, and production quality.

Leads strategic go-to-market projects and initiatives for Snap’s global digital advertising business. Manages GTM planning, testing, launches, operating rhythms, cross-functional alignment, process improvements, and change management. Partners with Ads Monetization leadership and stakeholders to identify priorities, execute initiatives, improve efficiency, and support business growth.

Manage day-to-day direct mail campaign operations, including client calendars, artwork collection, production plans, proofreading, and final print approvals. Coordinate with clients, design, and production teams to ensure timely, accurate mailings. Support special projects involving accounts receivable, recruiting, HR, and CRM management. The role requires strong organization, communication, attention to detail, time management, problem-solving, and client relationship skills.

Support BlackRock’s inorganic growth by sourcing, evaluating, and executing M&A, divestitures, joint ventures, investments, and partnerships. Own financial modeling, valuation, due diligence coordination, and produce executive-level analyses and presentations. Maintain industry intelligence, implement AI-enabled process improvements, and collaborate across functions while mentoring and recruiting team members.

Lead fund finance oversight for a global infrastructure debt platform, covering investment execution, liquidity, capital calls, financing facilities, valuations, reporting, regulatory obligations, and complex fund structures. Partner with investment, accounting, legal, tax, treasury, administration, and investor relations teams. Drive platform scalability, process optimization, automation, data governance, reporting improvements, product launches, and team development while managing senior stakeholder and investor relationships.

Own employee listening and lifecycle survey programs, analyze talent, early-career, learning, and sentiment data, and translate findings into leadership-ready reports, dashboards, and recommendations. Partner across HR and the firm on employee engagement initiatives, measurement strategies, and ad hoc analytics. Identify emerging AI and analytical approaches while managing projects and communicating insights effectively.

Build and evolve core platform components, including data modeling, integration testing, release tooling, internal developer tools, and reliable services. Architect systems, lead initiatives, mentor engineers, partner across teams, and improve scalability, performance, fault tolerance, observability, and production reliability. The role also involves developing AI-enabled developer tools and independently driving complex projects in a fast-paced startup environment.

Manage and enhance Salesforce Sales Cloud and Experience Cloud environments through configuration, automation, security, data governance, reporting, deployments, and troubleshooting. Provide user support, onboarding, training, documentation, and access management. Maintain data integrity, improve business processes, evaluate new technologies, and collaborate with stakeholders and an Agile engineering team on scalable Salesforce solutions.

Design, build, and operate large-scale ETL pipelines, data lakes, and data platforms processing billions of daily events. Own data quality, freshness, reliability, monitoring, and observability for foundational datasets. Develop self-service ETL frameworks and tooling, contribute to architecture and technical strategy, and partner with product, engineering, machine learning, data science, and leadership teams to deliver scalable data solutions.