Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead and scale the data engineering organization to build data products and architecture that power GTM (marketing and sales) strategy. Define technical strategy, enable reporting, analytics, data science, ML/AI workloads, and partner with IT, product, analytics, and GTM stakeholders to deliver production-grade data platforms and services.

Own and grow a named strategic account portfolio: develop and execute account/territory plans, build C-level relationships, identify upsell/cross-sell opportunities, lead complex negotiations, coordinate cross-functional teams and partners, provide forecasts, mentor junior sellers, and travel to meet customers and attend events.

Lead the design vision for Jira's AI transformation, managing a team of designers to create experiences where AI systems collaborate with human teams.

Enterprise sales role focused on driving solutions revenue: build and manage pipeline, engage and negotiate with customers, close deals, and partner with product and customer teams to ensure successful implementations.

Lead FP&A for R&D, overseeing $1B quarterly spend, forecasting, capital allocation, and finance optimization. Drive monthly/quarterly reporting, planning processes, cross-functional finance initiatives, and business partnering for acquisitions.

Lead GTM strategy and planning for Atlassian's Emerging Solutions (Strategy and Product Collections). Partner with Sales, Product, Marketing, Channel, and Customer Success to identify growth levers, launch sales plays, build analytics and dashboards, run SQL-driven analyses, and drive cross-functional execution to accelerate pipeline, bookings, attach rates, and partner-led adoption.

Lead enterprise solution selling for Atlassian's Teamwork Collection to Fortune 100 customers: drive net-new revenue, manage named strategic accounts end-to-end, position TWC versus competitors, collaborate across GTM teams, uncover expansions, use Salesforce for pipeline management, and provide product and competitive feedback.

Lead backend architecture and deliver reusable solutions, unblock engineering teams across the development lifecycle, drive complex design and bug fixes, set code review standards, mentor engineers, collaborate on company-wide projects, and make technical decisions balancing correctness, performance, and customer impact.

As a Principal Machine Learning Systems Engineer, you will lead the development and implementation of machine learning systems and solutions to enhance team collaboration and productivity across Atlassian's software products.

Lead technical revenue accounting for Atlassian, advising on ASC 606, partnering with GTM, Sales, Product, and Engineering to scale order-to-cash processes, manage RevPro data/configuration, improve controls, support audits, and automate revenue recognition workflows.