Workspace Engineering India is based out of Hyderabad, India and is part of the Core DX (Core Developer Experience) org. We own the Salesforce Workspaces platform. Our mission: To provide a "faster than local" inner loop that acts as the industry standard for secure, AI-native, cloud-based development — eliminating the friction of local machine setup, while enabling AI-augmented productivity. Our core focus areas include: Salesforce Workspaces (SFW), Remote Build Execution (RBE), FTC (Ftest Console) Web, Agentic Developer Workspaces. Role Overview: We are seeking a seasoned, dynamic engineering leader to take full ownership of the Workspace Engineering India team — guiding it through a pivotal moment of architectural transformation and AI-first development adoption. You will combine deep technical grounding with people-first leadership to deliver mission-critical platform capabilities that every Salesforce Core engineer depends on, every day. This is not just a people-management role — it is a strategic leadership position that requires technical authority, developer empathy, and the ability to champion a true AI-first engineering culture from the ground up. If you are passionate about leading engineering teams to create next-generation developer tools and have the strategic vision and technical expertise to drive success, we encourage you to apply and join our team. Key Responsibilities: AI-First Engineering Leadership Champion and operationalize AI-driven development practices across the team: Claude Code, Cursor, Windsurf, Prizm rules, and MCP-powered agentic workflows Ensure every engineer is equipped and fluent in hybrid human-AI development — actively multiplying team velocity, not just adopting tools Partner with internal AI and platform teams to integrate approved AI models and MCP gateways into developer workflows Drive AI enablement initiatives: claude.md/agents.md specs across all repos, Slackbot skills, AI-powered code generation and review Establish rigorous standards for validating and auditing AI-generated code, architecture, and documentation Strategic Platform & Product Leadership Partner with Product owners to define and drive the roadmap for Salesforce Workspaces, Remote Build Execution, FTC Web, and Agentic Workspaces — balancing FY27 commitments with long-term platform evolution Help the team partner with and lead through the FKP Control Loop migration (legacy VM → Kubernetes-native) and Default Remote Execution rollout to 1,500+ developers Deliver to the Near-Core/Single Schema platform expansion in partnership with product and platform teams Partner tightly with the Product Owner, Architect, and US Workspace Engineering counterpart on priorities, delivery, and roadmap Collaborate with cross-functional stakeholders — product management, architecture, and quality — to set priorities and deliver high-impact features Communicate complex technical decisions clearly to non-technical stakeholders and senior leadership across timezones Team & People Development Lead, mentor, and grow a team of 12+ engineers in Hyderabad with full end-to-end ownership Conduct structured performance reviews, career development conversations, and 1:1 coaching Cultivate a culture rooted in the team's guiding principles: Proactive · Proficient · Proud, developer empathy, and "you build it, you run it" Attract and retain top engineering talent; represent the team at internal and external forums Engineering Excellence & Observability Enforce agile best practices; serve as Scrum lead for the India team through iterative development cycles Champion robust observability across services — monitoring, logging, performance metrics, and blameless incident response Drive continuous process improvement, risk identification, and operational excellence Required Qualifications: 5+ years of engineering management experience in a fast-paced, high-growth environment Proven track record leading distributed platform or developer tools teams with end-to-end ownership Demonstrated experience operating as the senior engineering voice for an autonomous, cross-timezone team Strong grounding in cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes/FKP) Hands-on experience or strong working knowledge of AI-native development tools — LLM integrations, agent orchestration, and MCP frameworks Ability to lead with both technical authority and human-centric coaching Strong data-driven decision-making, strategic thinking, and problem-solving skills Familiarity with agile methodologies (Scrum/Kanban) at team scale Effective communicator across technical, product, and executive audiences Preferred Qualifications: Advanced degree in Computer Science, Engineering, or a related field Experience working within or alongside Salesforce products or ecosystems Open-source contributions or community engagement

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