[VCK] Senior Project Manager / Scrum Master

Responsibilities

• Own delivery governance end-to-end from kickoff through go/no-go gate and handoff
• Run the 2-week sprint cadence, ceremonies (planning, review, retro, daily), and delivery rhythm across all phases
• Maintain the RAID log, milestone tracker, and risk register; surface and escalate blockers proactively
• Serve as the primary coordination layer between the Software Mind delivery team and client stakeholders
• Track and enforce scope boundaries; initiate change management procedure when timeline, cost, or risk is impacted
• Manage go/no-go decision-support packs including pilot accuracy reporting
• Ensure integration assumptions are validated and documented before implementation phases open
• Align team allocation and effort with evolving complexity and delivery risk across the engagement
• Must-Have Skills & Experience
• 6+ years in project or delivery management on software engineering engagements
• Scrum Master certification (CSM, PSM, or equivalent); hands-on Scrum/Kanban facilitation experience
• Demonstrated experience managing outcome-based engagements with milestone-based acceptance criteria
• Strong client-facing delivery experience; confident managing up and across multiple stakeholder groups
• Experience managing projects with data governance, compliance, or regulated-data components
• Excellent written and spoken English daily client interaction is a core part of this role

Requirements

• Prior delivery experience on AI, ML, or data platform projects
• Familiarity with Microsoft 365 ecosystem and Atlassian tooling (Jira, Confluence)
• Background in fintech, legal tech, proptech, or document-intensive enterprise software
• We are accepting applications from LATAM countries
• #LI-DNI

Additional Information

About the Project Software Mind is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A interface with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation.

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