Top Tech Jobs & Startup Jobs

Lead global publisher-facing business development and account management to drive supply strategy, revenue growth, and publisher relationships across CTV, web, in-app, DOOH, and audio. Own go-to-market, P&L, regional targets, and headcount planning. Represent OpenX externally, leverage AI automation, support SPO engagements, and provide market intelligence to inform product and commercial strategy.

Lead CX measurement and insights by owning the measurement framework and customer health score, integrating multi-source CX and product data, building dashboards, validating methodology, synthesizing insights for senior leaders, and enabling data-driven actions across Customer Success, Product, Sales, and Finance.

Lead the multi-year vision and roadmap for Klaviyo’s Finance systems; partner with Finance and engineering to deliver ERP, billing, procure-to-pay, record-to-report, and order-to-cash automation. Drive AI-native finance transformations, ensure SOX controls and audit readiness, coordinate cross-functional delivery, and act as the primary technology partner to finance leadership to improve scalability, controls, and financial insight.

Lead Klaviyo's Order-to-Cash technology track, owning roadmap, design, and integrations (e.g., CPQ to NetSuite). Ensure SOX/ITGC controls and audit readiness, drive AI-native automation across O2C workflows, optimize ERP/billing configurations, and partner with Finance and engineering stakeholders to deliver scalable revenue and billing systems.

Build and maintain order and payment systems for a high-volume ticket marketplace. Design scalable backend services, REST APIs, and event-driven components. Ensure correctness, idempotency, failure handling, and observability. Collaborate cross-functionally, mentor peers, run experiments/A-B tests, and contribute to CI/CD, testing, and production debugging to drive business impact.

Lead strategy, roadmap, and execution for Skybox, a B2B seller platform. Drive improvements across inventory, pricing, distribution, fulfillment, payments, and reporting. Partner with engineering, design, analytics, marketplace and payments teams to define requirements, run experiments, measure impact, and deliver high-impact product experiences for professional ticket sellers.

Lead strategy and execution for technology partner programs, app marketplace, and embedded partnerships. Build and scale partner ecosystem, influence product roadmap and integrations, negotiate strategic agreements, grow Partner & Services Revenue, measure partnership performance, and hire and develop a global business development team to drive partner-driven product and revenue outcomes.

Lead AI-first product development for a GovCon ERP platform: translate customer and market insights into PRDs, agentic/LLM-enabled workflows, roadmaps, prototypes, and launch-ready features. Partner cross-functionally to measure outcomes, accelerate adoption, ensure compliance, and evolve product practices in a fast, experimentation-driven environment.

Lead customer onboarding and configuration of the Kustomer platform, manage multiple implementations, integrate APIs and automations, train and advise customers, troubleshoot with Product/Engineering, document best practices, and ensure adoption and project success.

Own and build production UI for a fund administration product: design and implement dense, high‑stakes financial workflows, prototype in code, define and maintain the design system, and create human–AI interaction patterns for human-in-the-loop review. Partner closely with product, ops, customers, and engineering to translate complex workflows into polished, trustworthy interfaces.

Manage a portfolio of enterprise customers to drive product adoption, execute tailored success plans, monitor health and risk, run executive business reviews, coordinate cross-functional support, and pursue retention and expansion through advocacy and playbook-driven interventions. Occasional on-site travel to customer locations.

The Senior Machine Learning Engineer at DraftKings will design scalable ML pipelines, optimize models, implement monitoring systems, and lead technical initiatives in AI development.

The Senior Machine Learning Engineer will design and deploy scalable machine learning models, optimize performance, and lead best practices while collaborating with cross-functional teams.