Blend
Fintech
EngineeringManager-AIPlatform
Neural analysis suggests this role is
optimal for Lead candidates.
“Engineering Manager - AI Platform at Blend. Skills: AI Platform Engineering, Agentic Systems, Python Development, Cloud Operations. Guide architectural decisions. Deliver scalable solutions”
Industry & Context.
What They're Looking For.
Must Have
6+ years of software engineering experience, 2 years in a leadership or managerial role, Proven ability to hire, mentor, and grow engineers, Excellent communication skills, Ability to work independently and collaboratively, Deep Python expertise (3.11+), Command of async/await, Command of asyncio, Command of type hints, Command of Pydantic v2, Hands-on experience building production agentic systems, Experience with multi-agent orchestration, Experience with tool use, Experience with structured outputs, Experience with context management, Experience with hallucination mitigation, Experience with agent dev kits (ADK, DSPy, LangGraph, or equivalent), Experience with durable workflow engines (Temporal, Airflow, or Step Functions), Foundation-model fluency across providers (Google, Anthropic, or OpenAI), Experience with model selection, Experience with prompt caching, Experience with config sweeps, Experience with cost/latency tradeoffs, Prompt engineering experience, Agent context management experience, Experience designing system prompts, Experience designing tool schemas, Experience managing context windows, Experience shaping model behavior, Experience with few-shot examples, Experience with structured outputs, Experience with fine-tuning, Comfort treating prompts as first-class engineering artifacts, Experience with evals and version control for prompts, Agent-assisted development workflows fluency, Fluency with Claude Code (or comparable AI coding agents), Fluency with git worktrees for parallel agent sessions, Fluency with AI-assisted code review, Retrieval-Augmented Generation (RAG) experience, Experience with vector databases (Qdrant, Pinecone, or similar), Experience with embedding models (sentence-transformers), Eval-driven development of LLM features, Experience with frameworks like Braintrust, LangSmith, or MLflow, Experience with PII masking, Experience with scenario design, Experience with CI-enforced quality baselines, PII / regulated-data sensibility, Experience with redaction tooling (Presidio or similar), Experience with structured logging, Experience with audit-grade observability, Comfort working in a SOC 2 / financial-services environment, Cloud + container ops experience, AWS (EKS, RDS, S3) experience, Comfortable with Docker, Comfortable with GitHub Actions, Comfortable with modern Python tooling (uv, ruff, pytest-asyncio, pre-commit, import-linter)
Nice to Have
Bachelor's degree in Computer Science, Engineering, or a related field, Familiarity with multi-provider abstractions (e.g. LiteLLM), Multimodal retrieval experience (ColPali, FAISS), Exposure to mortgage / loan-origination workflows (URLA, AUS, document validation, follow-ups)
What You'll Do.
Guide architectural decisions
Deliver scalable solutions
Foster ownership culture
Foster innovation culture
Foster accountability culture
Drive development lifecycle
Advocate engineering best practices
Encourage technical excellence
Champion AI-forward culture
Adopt new foundation-model capabilities
Adopt agentic patterns
Adopt AI-assisted developer workflows
Raise bar on building with AI
How You'll Work.
Team & Collaboration
Collaborate with product managers; Collaborate with design teams; Collaborate with other stakeholders; Connect global engineering teams; Ensure alignment across teams; Ensure alignment across tools; Ensure alignment across processes
Communication Scope
Excellent communication skills
Full Job Description
Blend is a diverse team of problem solvers who believe that the world’s financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U. S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters. As an Engineering Manager at Blend, you will lead and grow a team of engineers building Blend's intelligent origination products including Blend Autopilot, our AI agent that automates document review, compliance checking, and borrower follow-ups during loan origination, taking documents from upload to reviewed in 15–25 seconds. This role offers a unique opportunity to shape one of the most AI-forward teams in Fintech: we ship agentic features rapidly, lean hard on modern AI tooling at every layer of the stack, and are looking for a leader who will continue pushing that pace of adoption: both in the products we deliver and in how we build them. Key Responsibilities: Guide architectural decisions, ensuring the delivery of scalable, robust, and maintainable solutions aligned with Blend's goals. Hire, mentor, and develop a team of high-performing engineers, fostering a culture of ownership, innovation, and accountability. Collaborate with product managers, design teams, and other stakeholders to align technical execution with business objectives. Drive the end-to-end development lifecycle, including design, implementation, testing, deployment, and production maintenance. Play a key role in connecting global engineering teams, ensuring alignment across teams, tools, and processes. Conduct regular code reviews, advocate for engineering best practices, and encourage technical excellence. Champion an AI-forward engineering culture with rapid ad
Applying for this Engineering Manager - AI Platform role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Blend?
Real rants from real employees. Read before you apply.