Top Tech Jobs & Startup Jobs

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.

Supports EU Account Managers by monitoring campaign performance, assisting advertiser launches, preparing client reports and dashboards, maintaining budgets and recurring workflows, and coordinating internal teams to resolve delivery issues. The role is graduate-level and emphasizes operational accuracy, performance marketing fundamentals, structured data analysis, client support, and process consistency, with opportunities to develop greater client-facing responsibility.

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.

Monitor and analyze publisher performance, identify optimization opportunities, support account managers with partner strategies, troubleshoot placement issues, assist with onboarding and launches, prepare reporting, and maintain account documentation. Collaborate cross-functionally with Product, Technology, Operations, and Demand teams to improve publisher monetization and performance while developing expertise in digital advertising, search, and publisher business models.

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.

Build and close partnerships across AI, search, commerce, and emerging technology platforms. Responsibilities include pipeline generation, prospect engagement, discovery, solution development, commercial negotiation, contracting, technical integration, launch, and partnership expansion. Collaborate with Product and Engineering, translate technical capabilities into commercial value, structure deals, and identify new applications for advertising technology in evolving AI-driven search and commerce ecosystems.

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.