Top Tech Jobs & Startup Jobs in NYC, NY

Join adMarketplace’s Account Management Talent Community for potential future opportunities supporting advertisers and publisher partners. Responsibilities may include managing relationships, growing existing business, analyzing performance data, recommending optimizations, collaborating cross-functionally, and leading strategic accounts or teams. Candidates should have an interest or experience in account management, client success, or partner management, ideally within AdTech, digital advertising, SaaS, or technology.

Sales Talent Community candidates will be considered for future opportunities across advertiser, enterprise, agency, strategic, and sales leadership teams. Responsibilities may include prospecting, developing relationships, winning new business, navigating complex sales cycles, closing advertising deals, building sales teams, and driving revenue growth. Candidates should demonstrate sales, business development, or strategic partnership experience, preferably in AdTech, digital advertising, SaaS, AI, or related industries.

Own North American advertiser new-business revenue while building and scaling a high-performing enterprise sales organization. Responsibilities include hiring, coaching, forecasting, sales process development, executive relationship management, closing Fortune 500 advertisers, go-to-market strategy, and external industry representation. The role requires extensive enterprise sales leadership experience in AdTech, search, commerce media, retail media, programmatic, or digital performance advertising.

Develop and operate production machine learning systems for search and advertising, including relevance, yield optimization, bidding, ranking, recommendation, and ad selection. Own the ML lifecycle from data acquisition and prototyping through deployment, monitoring, optimization, and maintenance. Build low-latency, high-throughput services, feature pipelines, MLOps frameworks, experimentation platforms, and scalable microservices using modern machine learning, deep learning, and reinforcement learning techniques.

Lead product marketing strategy and commercialization for assigned adMarketplace products. Define positioning, value propositions, GTM plans, launches, and success metrics. Drive cross-functional launch execution, competitive strategy, sales enablement, and market feedback loops to increase adoption and revenue. Build repeatable templates, messaging systems, and governance to scale product marketing.

Oversee U.S. and international tax compliance, tax provisions, technical accounting, transfer pricing, indirect taxes, and tax authority inquiries. Manage external advisors, international filings, nexus and permanent establishment assessments, and transition tax preparation in-house. Research complex US GAAP matters and maintain tax and accounting controls, policies, and documentation aligned with COSO. Partner with Finance, Legal, Accounting, and Operations on transactions, market expansion, and other tax or accounting initiatives.

Analyze marketplace and product performance using SQL, support experiments and advertising-effectiveness studies, build reusable datasets, QA metrics, and document analytics. Collaborate with analytics engineers, data scientists, product managers, engineers, and commercial teams while developing skills in statistics, causal inference, Python/R, and marketing science.

Leads complex, ambiguous research and analysis using marketplace data to uncover consumer intent, behavioral trends, advertiser and publisher insights, competitive intelligence, and market dynamics. Develops executive-ready narratives, visualizations, reports, and thought leadership; influences senior stakeholders and mentors analysts on analytical framing, synthesis, and storytelling.

Founding Marketing Science Lead responsible for building the company’s measurement function, with emphasis on incrementality, causal inference, experimental design, advertising effectiveness, and client-facing analytics. The role develops geo experiments, matched-market tests, measurement playbooks, tooling, and scalable workflows; partners with Sales, Product Marketing, advertisers, publishers, and vendors; and translates scientific findings into executive narratives, case studies, and market-facing claims. The hire will initially work hands-on while establishing standards and eventually building and mentoring a team.

Build the company’s analytics engineering function and trusted data foundation. Develop production analytical datasets, reusable models, semantic layers, canonical metrics, and self-service analytics capabilities. Support product analytics, experimentation, causal analysis, marketplace diagnostics, and automated workflows. Partner with Product, Finance, Measurement, Data Engineering, and business teams to establish consistent definitions and reproducible insights. As the founding hire, this role will also help hire and develop future analytics engineers.