About Kindsight:
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.
Position Summary:
We are seeking a highly skilled Engineering Manager - AI & Data Analytics to design, develop, and deploy advanced artificial intelligence and machine learning solutions as well as support the design of our new Analyze offering. In this role, you will contribute both technical expertise and strategic insight to drive innovation in our AI, Data Modeling, Analytics and dashboarding. You will collaborate closely with cross-functional teams, spanning product, engineering, data science, and research to transform cutting-edge models into scalable, real-world applications.
What You’ll Do:
- Design, implement, and optimize AI/ML models (e.g., deep learning, generative AI, NLP, predictive analytics and BI tools such as Quicksight or Tableau).
- Translate business and product requirements into scalable AI solutions.
- Lead end-to-end model development: data preprocessing, feature engineering, training, evaluation, and deployment.
- Mentor junior engineers and foster best practices in AI/ML and predictive modeling development.
- Partner with product and engineering teams to integrate models into production systems with reliability, efficiency, and scalability.
- Stay current on emerging AI 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
About You - Skills and Qualifications:
- 5+ years of experience in software engineering with a strong focus on AI/ML with demonstrated experience in having launched and scaled AI products in the past couple of years.
- Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Hugging Face, or Scikit-learn.
- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines (CI/CD for ML).
- Strong knowledge of data structures, algorithms, and distributed systems.
- Experience with large-scale model deployment and optimization (e.g., GPU/TPU acceleration, quantization, pruning).
- Excellent problem-solving skills and ability to communicate complex technical concepts to both technical and non-technical audiences.
- Experience with generative AI (LLMs, diffusion models, multimodal systems).
- Hands-on experience with vector databases and retrieval-augmented generation (RAG).
- Experience with:
- Commercial LLM APIs (AWS Bedrock, OpenAI, Anthropic, etc.)
- Prompt engineering and optimization frameworks like DSPy
- MCP (Model Context Protocol)
- AI agent/agentic workflow development experience
- Cost optimization for AI deployments
- Specific experience with structured outputs and function calling
Bonus Points:
- Familiarity with CRMs, ERPs, or launching products on Salesforce, specifically AgentForce
- Familiarity with fundraising practices and metrics (e.g., donor lifetime value, conversion rates).
- Familiarity with implementations into products such as Tableau, Bi or other dashboards
- Contributions to open-source AI projects or research publications.
This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.
We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards
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