Engineering Manager, Agentic AI

Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market. And as the giving sector evolves, so does Kindsight. As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale.

With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising.

We are seeking a highly skilled Engineering Manager, Agentic AI to design, develop, and deploy advanced agentic solutions providing user value in our Salesforce products. In this role, you will contribute technical expertise building and managing in-product features, AWS infrastructure, and provide strategic insight to drive innovation. You will collaborate closely with cross-functional teams, spanning product, engineering, data engineering and data science, to deliver AI and agentic powered solutions into scalable, real-world applications.

You will lead and grow a high-performing team of AI engineers, data scientists, and backend developers while being a hands‑on technical leader.

• Design, implement, and optimize AI, LLM features and Agentic AI
• Design and implement production‑grade multi‑agent and agentic workflows using frameworks such as Lang Graph, CrewAI, Auto Gen, or Salesforce Agent Force.
• Build and maintain robust MLOps practices including CI/CD for ML, model versioning, drift detection, cost monitoring, and real‑time observability for autonomous agents (Agent Ops).
• Lead end‑to‑end development: leading the creation of in-product features and the supporting backend required to deliver the feature.
• Translate business and product requirements into scalable AI solutions.
• Mentor junior engineers and foster best practices in AI, LLM and Agentic.
• Partner with product and engineering teams to integrate features into production systems with reliability, efficiency, and scalability.
• Stay current on emerging trends, frameworks, and research to drive innovation within the organization.
• Collaborate with stakeholders to ensure solutions are ethical, explainable, and compliant with industry standards such as bias testing, safety guardrails, and/or familiarity with LLM evaluation frameworks.

• 8+ years of experience in software engineering and 3+ years in engineering management
• 3+ years experience in AI/LLM development, and Agentic AI with demonstrated experience of successfully launching and scaling agentic AI or generative AI products in recent years.
• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field
• Proficiency in Python and ML frameworks such as Tensor Flow, PyTorch, Hugging Face, or Scikit-learn.
• Experience with cloud platforms (AWS, GCP, or Azure) and Dev Ops best practices.
• Excellent problem‑solving skills and ability to communicate complex technical concepts to both technical and non‑technical audiences.
• Strong hands‑on experience with Python, PyTorch or JAX, Hugging Face ecosystem, Lang Chain/Lang Graph, AWS Bedrock + Sage Maker, vector databases (Pinecone/Weaviate/Qdrant), RAG pipelines, and prompt optimization frameworks (DSPy, Guidance, Outlines).
• Experience integrating AI features into CRM platforms (ideally Salesforce)

• Familiarity with CRMs, ERPs, or launching products on Salesforce, specifically Agent Force
• Familiarity with fundraising practices and metrics (e.g., donor lifetime value, conversion rates).
• Hands‑on experience building with or extending Salesforce Agent Force, Einstein, or Data Cloud.
• Contributions to open‑source AI projects or research publications.

$200,000 - $300,000 CAD OTE annually, based on experience, market benchmarks and role complexity. We aim to offer fair,…