Top Tech Jobs & Startup Jobs

Lead and execute regional sales strategy and revenue targets for the West. Build, coach, and scale a regional sales organization, own pipeline health and forecasts, join key deals, run deal reviews and coaching, partner cross-functionally on GTM, manage headcount/hiring, and enforce Salesforce-driven processes and sales best practices.

Lead Sonar's global Deal Desk to govern quoting-to-cash, set commercial policy, manage CPQ and discounting, enable cross-functional offer launches, analyze multi-year and partner deals, and present deal risk and booking guidance to executive leadership.

Manage and coach a 7-10 person enterprise sales team to hit quota. Own pipeline forecasting, KPI reporting, hiring, onboarding, territory strategy, and deal-level coaching while leveraging sales methodologies and Salesforce.com.

Drive growth of Xero's partner ecosystem by managing a sales territory, recruiting and enabling accounting partners, executing quarterly pipelines, using Salesforce to track activity, and running partner events and trainings to increase cloud adoption and subscription revenue.

Provide high-level executive support to the Chief Business Officer and XLT: manage complex, high-volume calendars; coordinate domestic and international travel; prepare agendas, minutes, reports, and analyses; process expenses and administrative tasks; act as primary contact for visiting executives; anticipate needs, prioritize conflicting requests, and create systems and processes to streamline workflows. Support may include attending global offsites and working cross-functionally across the business.

Lead and mentor a Customer Success team to drive customer retention, product utilisation, and revenue. Oversee daily outputs, coach for capability uplift, deliver strategic onboarding and sales campaigns, collaborate with cross-functional GTM teams, and embed customer success best practices to improve satisfaction and long-term advocacy.

As Sr Manager of Customer Experience Operations at GitLab, you will lead operations teams, partner across departments, and drive process improvements in customer success and financial operations.

Lead a global End User Services team delivering 24/5 support for GitLab's SaaS toolstack. Own EUS strategy, incident/request/problem/change management, SLAs, CSAT, asset and SaaS lifecycle, and scale support via automation, self-service, and AI. Partner cross-functionally with People, Security, IT Engineering, Workplace, Finance, and Procurement to optimize onboarding, tooling, vendor relationships, and operational KPIs.

Lead GitLab's pipeline growth strategy and operating cadence to drive predictable, scalable pipeline and revenue outcomes. Partner cross-functionally to set targets, capacity plans, and program mix; define global pipeline standards, hygiene, and taxonomy; run pipeline reviews and governance; and deliver analytics, dashboards, and recommendations to improve forecast accuracy, conversion, velocity, and execution quality across inbound, outbound, partner, and expansion motions.

The Technical Account Manager will oversee logistics customer accounts, drive product adoption, manage relationships, conduct reviews, and identify growth opportunities.

The Software Engineer, Backend will develop scalable distributed systems, build REST APIs, and ensure high-quality software delivery while collaborating with teammates and stakeholders.

The Sales Director drives revenue by managing a book of business, prospecting new clients, nurturing existing relationships, and collaborating internally to meet clients' advertising needs.

The Senior Business Systems Analyst will partner with finance to automate financial processes, analyze workflows, design tech solutions, and manage projects ensuring system reliability while mentoring juniors.

Lead and scale carrier capacity for perishable produce and floral logistics by building cold-chain carrier networks, coaching capacity teams, enforcing food safety compliance (FSMA, STF, PACA), managing bids and carrier contracts, implementing SOPs and claims programs, partnering with Tech to improve TMS functionality, and monitoring KPIs to optimize network performance.

Design, build, evaluate, and deploy NLP and LLM systems (classification, extraction, retrieval). Create evaluation frameworks, golden datasets, and annotation guidelines. Analyze performance, identify failure modes, partner with engineering for production deployment and monitoring, and communicate results to stakeholders.

Lead and scale Arrive Fresh's cold-chain carrier capacity function for produce and floral logistics. Build and coach carrier capacity and account teams, establish SOPs and compliance programs, manage bids and carrier negotiations, collaborate cross-functionally, and use TMS and analytics to optimize pricing, tender acceptance, retention, and service delivery.

Lead the architecture and evolution of GTM systems, managing a small team and collaborating across departments to enhance revenue workflows and implement AI-driven capabilities.

As a Senior NLP Data Engineer, you will design and optimize data pipelines, automate workflows, and support machine learning systems, focusing on unstructured text data.

Own and operate the iMData platform: design and build Databricks-based ETL pipelines using PySpark and medallion architecture, create gold-layer star schemas, migrate assets from Synapse to Databricks, implement CI/CD and Terraform IaC, ensure data security and observability, mentor junior engineers, and collaborate with stakeholders and ML engineers to deliver production-grade analytics and AI-ready data.

Conduct end-to-end qualitative and quantitative research to improve Notion's AI features (e.g., Notion Agent, Chat). Study human–AI workflows, run usability and post-ship evaluations, partner with Design/Product/Engineering/Data Science, communicate insights to stakeholders, and connect research to measurable business outcomes.

Lead UX research to define and scale evaluation of Notion's AI experiences. Create reusable rubrics and measurement approaches, run longitudinal and feature-specific studies, identify failure modes and recovery behaviors, and operationalize evaluation with product, design, engineering, and data science partners to improve model output quality and end-to-end user experience.