Role Description We're looking for an experienced Engineering Manager to join our Data & Reporting Platform team. In this role, you'll own the technical direction and day-to-day execution of a team building the data infrastructure that powers the enterprise. You'll balance hands-on architectural guidance with people leadership — helping engineers grow while ensuring the platform is reliable, scalable, and aligned to business needs. - Lead and Mentor: - Manage and grow a team of 5+ data engineers. - Set clear expectations, provide regular feedback, and invest in career development. - Build a team culture rooted in ownership, craftsmanship, and psychological safety. - Architectural Leadership: - Drive architectural decisions across the platform, with particular depth in Data Sharing and Semantic Layer design. - Ensure systems are built for high availability, scalability, and security. - Technical Excellence: - Guide the team through complex technical challenges, including Semantic Modeling, data mesh patterns, and platform reliability. - Hold a high bar for code quality, testing, and observability. - Performance Optimization: - Lead efforts to improve query performance and platform efficiency. - Ensure data consumers across the organization can access what they need quickly and reliably. - Strategic Execution: - Collaborate with product managers and architects to define and deliver the data platform roadmap. - Translate business requirements into technical priorities and communicate trade-offs clearly. - Operational Health: - Own the operational posture of the platform — monitoring, alerting, incident response, and on-call rotation management. - Establish and report on team-level operational metrics. - Governance & Process: - Define engineering best practices and champion shift-left data governance, including data quality, lineage, and access control. Qualifications - 8+ years in data or software engineering, with 2+ years managing engineering teams of 5 or more. - Proven experience designing complex data systems, with specific expertise in Semantic Layering and Data Sharing at enterprise scale. - Deep, hands-on experience with dbt and semantic models (e.g., MetricFlow) — including designing and scaling semantic models in production. - Strong proficiency with Snowflake and SQL. - Experience with Spark, Python, and Snowpark is a plus. - Hands-on experience with technologies such as Cursor, Claude CLI/Code, Kibana, and Airflow. - Experience owning on-call processes, managing incidents, and defining operational metrics that drive team accountability. - Solid command of CI/CD practices (e.g., GitHub Actions) and data observability tooling such as DataDog or Monte Carlo. - Strong written and verbal communication skills. - Able to align cross-functional stakeholders, articulate technical trade-offs, and influence architectural direction without direct authority. Requirements - This position requires flexibility to overlap with US working hours as needed. Benefits - We celebrate individuality and uniqueness. - We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great.

Role Description The Partnerships Development Manager plays a pivotal role in shaping and executing strategies to diversify income streams and deepen strategic collaboration across Asia. This role combines strategic business development, donor relationship management, and regional thought leadership. - Identify, cultivate, and steward high-value strategic partnerships that unlock new and diversified funding for Mercy Corps’ programs in Asia. - Work closely with country leadership, technical teams, and global fundraising colleagues to position Mercy Corps competitively with priority donors. - Contribute to the writing and coordination of high-quality concept notes, proposals, and partnership agreements. - Lead and support the identification, cultivation, and management of strategic partnerships across corporate, foundation, bilateral, and multilateral donors. - Drive proactive donor mapping and pipeline development aligned with regional and country program priorities. - Support and influence go/no-go decision-making to ensure pursuit of high-potential, mission-aligned funding opportunities. Qualifications - BA/BS (or equivalent) in international development, business administration, social sciences, or a related field; MA preferred. - At least 5 years of experience in business development, fundraising, or strategic partnerships within the NGO, philanthropic, or impact investing sectors. - Demonstrated success in securing and managing complex partnerships, including private sector and institutional donors. - Strong understanding of development trends, donor landscapes, and private sector engagement in Asia. - Proven experience in proposal development, negotiation, and partnership structuring. - Exceptional written and interpersonal communication skills. - Proven ability to work productively with a wide variety of stakeholders. - Fluency in written and spoken English. Requirements - Strong writing skills required. - Prior professional experience in Asia required. - Ability to meet tight deadlines with an emphasis on producing quality products. Benefits - Ongoing learning opportunities, empowering team members to dedicate 5% of their time to personal and professional growth. - Team engagement and effectiveness initiatives to foster a culture of trust and respect.

• Lead customer-facing Agentic AI product leveraging LLMs, agents, and internal APIs. • Work with partners like OpenAI to integrate Jerry.ai services into the ChatGPT app. • Define prompt consolidation and migration strategy. • Own the technical prioritization queue and chatbot prioritization. • Track emerging technology and manage the OpenAI relationship.

• Lead the customer-facing Agentic AI product leveraging LLMs, agents, and internal APIs. • Define the strategy for migrating prompts onto a unified platform. • Own the technical prioritization queue for chatbot projects. • Track voicebot and computer use for investment decisions. • Collaborate with engineering, data, operations, and other teams on execution.