Engineering Manager - AI & Data Analytics jobs in United States
cer-icon
Apply on Employer Site
company-logo

Kindsight ยท 2 days ago

Engineering Manager - AI & Data Analytics

Kindsight builds technology that helps fundraisers make a difference. They are seeking a highly skilled Engineering Manager - AI & Data Analytics to design, develop, and deploy advanced artificial intelligence and machine learning solutions, collaborating closely with cross-functional teams to drive innovation in AI, Data Modeling, Analytics, and dashboarding.

Funding PlatformInformation TechnologyOnline PortalsSoftware

Responsibilities

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

Qualification

AI/ML model developmentPythonCloud platformsData structuresAlgorithmsGenerative AIMLOps pipelinesLarge-scale model deploymentProblem-solving skillsCommunication skillsMentoring

Required

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.)
Experience with prompt engineering and optimization frameworks like DSPy
Experience with MCP (Model Context Protocol)
Experience with AI agent/agentic workflow development experience
Experience with cost optimization for AI deployments
Specific experience with structured outputs and function calling

Preferred

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

Company

Kindsight

twittertwitter
company-logo
Kindsight is a fundraising intelligence platform that offers data-driven fundraising solutions to nonprofit organizations.