Linear jobs

Strategic Portfolio Operations Manager - Lead New York - New York; Washington - Seattle; Illinois - Chicago; Texas - Dallas; California - San Francisco; Indiana - Indianapolis Job Title: Strategic Portfolio Operations Manager (IC) About the Team The Digital Enterprise Technology (DET) Strategic Portfolio Management (SPM) team drives how Salesforce scales through aligned investment decisions, trusted portfolio data, and an integrated tooling ecosystem. We are transforming from fragmented portfolio management practices to a unified, data-driven operating model by building the systems, processes, governance, and insights that enable DET leaders to prioritize strategically, plan effectively, and deliver with confidence. Our FY27 strategy is anchored on five pillars: Portfolio Planning, Data & Systems Optimization, Tooling Enablement, Process Excellence & Governance, and Capacity Planning. This role sits at the intersection of Data & Systems Optimization and Tooling Enablement, helping ensure that our portfolio systems, reporting, and operational processes provide accurate, actionable insights for decision-making across the organization. About the Role The Strategic Portfolio Manager Analyst is the frontline owner of the Strategic Portfolio Management tooling ecosystem and portfolio data foundation. This role serves as the primary resource for portfolio tooling support, data quality management, reporting enablement, and operational excellence across Airtable, Linear, Tableau, Slack integrations, and emerging portfolio management platforms. Success in this role requires a combination of rigorous attention to detail, strong analytical capabilities, and a systems-thinking mindset. The ideal candidate understands how data, processes, and tools interact across the portfolio ecosystem and proactively identifies opportunities to improve data integrity, reporting accuracy,

Senior Account SE (German Speaker) Ireland - Dublin Role Overview / The Experience At Salesforce, we believe career paths are rarely linear. Whether you possess an extensive background in enterprise software or are looking to transition your skills into the technology sector, your unique perspective is valued here. As the #1 AI CRM company, we lead with equality and inclusion to build teams that reflect the global communities we serve. We are seeking a Solutions Consultant (Solutions Engineer) to serve as the technical advisor throughout our enterprise sales cycles. In this role, you will bridge the gap between complex business challenges and scalable technical solutions, demonstrating how our platform drives meaningful business transformation for our customers. Responsibilities Solution Architecture: Collaborate with cross-functional account teams to design technical solutions that directly address strategic client objectives. Technical Discovery: Lead structural discovery sessions with prospects to uncover operational pain points and map them to actionable technical recommendations. Value Demonstration: Deliver compelling, value-driven solution presentations and technical demonstrations to decision-makers and executive stakeholders. Strategic Partnership: Build trusted relationships with client business and technical leaders, guiding them through their digital transformation journey. Performance Excellence: Take ownership of technical sales goals within an environment focused on objective, measurable success metrics and collaborative development. Product Expertise: Maintain deep, up-to-date knowledge of the Salesforce platform ecosystem and industry trends to provide unique point-of-view perspectives. Required Qualifications Proven experience analyzing complex operational problems and developing structured, creative solutions. Demonstrated ability to articulate technical concepts clearly to both technical and

Director, Agentic Workforce Modeling & Capacity Planning Illinois - Chicago; Washington - Seattle; Georgia - Atlanta; New York - New York; California - San Francisco Overview Of The Role The Agentic Workforce Strategy & Innovation team sits at the intersection of two of the most consequential shifts in enterprise business: the rise of AI agents and the re-imagination of how work gets done. You will serve as the lead architect for an entirely new enterprise capacity model, one that treats human headcount and digital agents as a single, optimizable system, shifting the organization from linear headcount tracking to a dynamic, multi-dimensional labor model. This is a hybrid role with three days in office each week. Responsibilities Design and evolve the enterprise's first integrated capacity model, establishing a Unified Labor Taxonomy and Human-AI Augmentation benchmarks that enable direct, standardized comparisons between human and digital labor for executive-level decision-making. Build and maintain a 3-year scenario simulation engine that translates emerging AI capability developments into concrete workforce supply and demand adjustments across every major business unit. Architect a unified Workforce Data Cloud integrating employee, contingent, and digital worker data into a single source of truth, with self-service access through AI-fronted interfaces and multi-dimensional slicing across organizational structures, job taxonomies, and cost centers. Distill complex capacity data into forward-looking leadership narratives, surface structural talent risks before they impact the Innovation Roadmap, and partner with VP-level stakeholders to translate strategic hypotheses into actionable workforce plans. Required Qualifications Demonstrated experience building enterprise workforce planning or capacity

Software Engineer, TPU Compiler, PhD, Early Careers London, UK Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. TPU team develops the Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g. Google DeepMind) and external customers. It is a vital part of the Google Gemini software infrastructure. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Write product or

Software Engineer, TPU Compiler Development Infrastructure Sunnyvale, CA, USA Our team develops the Accelerated Linear Algebra (XLA) compiler which enables TPUs, Google's in-house custom designed processor, to accelerate machine learning and other scientific computing workloads for both internal Google customers and external Cloud customers. The XLA TPU team is reaching a critical threshold of complexity at a time when the demand for rapid iteration has never been higher. This role is designed to manage the infrastructure friction that compiler engineers face daily, effectively multiplying output of the entire team. In concrete terms we need to pull down the average team presubmit latency from the current 1.5. hours to 20 min and minimize Changelist (CL) rollback (catch issues early). While this position does not require prior experience with compilers, hardware, or deep ML expertise, bout it does require someone who genuinely enjoys the craft of building great infrastructure unblocking developer productivity. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Reduce CL time to submit for a CL and minimize CL rollback for the whole XLA TPU team. Drive infrastructure improvements that remove friction from the daily development of the XLA TPU Compiler team. Develop tools supporting compiler engineers as they work through stages of new TPU introduction (e.g., testing when hardware is not yet available or very limited). Modernize and simplify build/test