Top Tech Jobs & Startup Jobs

Own the full sales cycle for Mid-Enterprise accounts: prospecting, discovery, demos, negotiation, and close. Build territory and account strategies, collaborate with Solutions, Customer Success, Product, and Engineering, mentor AE teammates, experiment with AI to streamline workflows, and share market insights to influence product roadmap and drive long-term customer value.

Own end-to-end data pipelines and production-grade dbt models (Snowflake) for Sales and Product analytics. Build governed data marts, dimensional models, and reverse ETL workflows. Improve data quality, testing, monitoring, and documentation. Partner with GTM, Product, and BI stakeholders, mentor peers, and contribute to platform tooling (Airflow, Terraform, AWS) to enable reliable, scalable analytics.

Lead and coordinate cross-cutting infrastructure programs (cloud, FinOps, CI/CD, security, migrations) across engineering. Drive planning through completion, prioritize work, surface risks, establish reporting and ways-of-working, and push automation and operational excellence to ensure timely delivery without direct authority.

Lead cross-team data platform initiatives focused on the Data Lake. Drive architecture and roadmaps for lakehouse storage, compute, orchestration, modeled data layers, and operational automation. Own large, complex programs end-to-end, make high-judgment architectural decisions, establish standards and paved paths, respond to incidents, and mentor senior engineers while aligning stakeholders across engineering, product, analytics, and AI/ML.

Lead enablement strategy and roadmap for EMEA enterprise sales. Design and deliver onboarding, training, workshops, and coaching (discovery, demo, negotiation). Drive adoption of sales methodology, measure enablement impact, partner cross-functionally, and present Quarterly Business Reviews to sales leadership.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

Manage the full sales cycle for MarTech SaaS in the Greater China export eCommerce market: build and manage pipeline, close net-new revenue, engage C-suite and marketing stakeholders, mentor peers, and leverage AI-driven workflows to scale territory performance.

Provide German- and English-language product support for Klaviyo customers via email and live chat. Troubleshoot SaaS/product issues, document resolutions, escalate when needed, advise on non-technical e-commerce/marketing questions, and help improve workflows with AI-driven tools while meeting KPIs.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

Lead end-to-end global onboarding (Base Camp) operations: build curriculum and infrastructure, apply instructional design and AI to content and operations, partner with stakeholders to ensure scalable, consistent new-hire and executive onboarding, track program health with data, and continuously improve the experience.