Top Tech Jobs & Startup Jobs

Senior software engineer responsible for designing scalable Java services, leading architectural improvements, and owning technical domains in a high-scale AWS environment. The role emphasizes platform engineering, CI/CD quality, automation, incident analysis, cost optimization, AI-assisted development, mentorship, and cross-functional technical leadership. Required technologies include Java, Spring Boot, MySQL, RabbitMQ, Kubernetes/EKS, Docker, and AWS services.

Leads iSpot’s AI engineering roadmap and team, taking generative AI, agentic workflows, retrieval systems, and machine learning capabilities from prototype to reliable production. Owns AI architecture, evaluation, guardrails, cost, latency, and operational performance while partnering with product, data science, and platform teams. The role combines hands-on coding and experimentation with hiring, technical leadership, roadmap planning, responsible AI, and executive communication.

Lead an engineering team responsible for high-scale media data ingestion, ad and content catalog systems, internal tools, and platform reliability. Modernize legacy systems, integrate AI/ML for automated cataloging, manage third-party data integrations, enforce software quality standards, oversee full lifecycle delivery, and maintain 24/7 operational performance. Coach engineers, drive agile execution, and collaborate with Product, Data Science, and Operations.

Own product strategy, roadmap, and end-to-end delivery for identity-powered TV measurement features across CTV and streaming. Lead clean room and identity resolution capabilities, conduct market and customer research, define KPIs, and collaborate with engineering, data science, design, sales, and customer success. Advocate for customers, communicate product direction, maintain documentation, and mentor product managers in a data-intensive advertising technology environment.

Manage deal desk activities, including drafting and reviewing sales agreements, tracking contracts and projects, maintaining accurate customer and business data, and supporting cross-functional processes. Partner with Sales, Revenue Operations, Legal, Accounting, and Product teams to accelerate agreements, improve workflows, mitigate risks, and maintain documentation. Conduct data and system reviews, support business applications, and provide administrative and project management assistance across revenue operations.

Leads an engineering team responsible for high-scale media data ingestion, processing, content and ad catalog systems. Owns platform modernization, AI/ML automation, partner data integrations, software quality, frontend internal tools, release readiness, operational reliability, and incident analysis. Translates platform strategy into sprints, mentors engineers, drives agile execution, and ensures accurate, performant, continuously available systems supporting measurement and attribution products.

As Payroll Lead, you manage end-to-end payroll processing, compliance, and system optimization while implementing AI-driven improvements and collaborating with finance teams.

The Technical Accounting Manager owns GAAP policies, technical accounting judgments, financial and investor reporting, audit readiness, and complex close areas. The role researches accounting standards, drafts technical memos, advises cross-functional leaders, manages external audit deliverables, supports financial systems implementations, and builds scalable accounting workflows. Responsibilities include revenue, leases, commissions, capitalized software, equity accounting, board materials, and special projects in a high-growth technology environment.

Lead product positioning, messaging, and go-to-market for video advertising measurement products. Drive launches, create sales and marketing content, partner with product and sales, monitor competitors, and capture customer insights to increase adoption and pipeline growth.

Lead end-to-end execution of complex technical and enterprise system initiatives. Partner with Sales, Marketing, Finance, Product, and Engineering to define requirements (PRDs), manage timelines, mitigate risks, and align stakeholders. Continuously evaluate and optimize core systems to scale workflows and improve productivity.