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Manager Langchain Jobs in Michigan (NOW HIRING)

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and ...

AI/ML Engineer

Dearborn, MI · On-site

$50 - $75/hr

... LangChain, LangGraph, DeepAgents, ReAct patterns, planning and orchestration, memory and state management, tool execution, function calling, human-in-the-loop workflows, and error recovery. LLMs ...

New

AI/ML Engineer

Dearborn, MI · On-site +1

$50 - $75/hr

... LangChain, LangGraph, DeepAgents, ReAct patterns, planning and orchestration, memory and state management, tool execution, function calling, human-in-the-loop workflows, and error recovery. LLMs ...

New

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... like LangChain - Translating complex business problems into software-engineered AI solutions ...

Develop agent frameworks (e.g., LangChain, AutoGPT, CrewAI, ReAct) or custom solutions * Integrate AI agents with enterprise systems (TMS, ERP, CRM, WMS) and external APIs * Design scalable, modular ...

CTIO AI Engineering Manager

Detroit, MI · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... like LangChain - Translating complex business problems into software-engineered AI solutions ...

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

AI BUILD ENGINEER MANAGER Versigent designs and delivers the systems that move power through modern ... Mastery of Python (FastAPI, LangChain, LlamaIndex); ability to build lightweight UIs using ...

AI BUILD ENGINEER MANAGER Versigent designs and delivers the systems that move power through modern ... Mastery of Python (FastAPI, LangChain, LlamaIndex); ability to build lightweight UIs using ...

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Manager Langchain information

What is a manager Langchain?

A Manager Langchain is typically responsible for overseeing the development and deployment of applications built using the LangChain framework, which is designed for creating applications powered by large language models (LLMs). Their duties often include managing teams of developers, coordinating with stakeholders, ensuring project milestones are met, and implementing best practices for prompt engineering and model integration. They may also be involved in setting technical direction, evaluating new AI tools and frameworks, and ensuring compliance with ethical and data privacy standards. Strong leadership, technical expertise in AI/ML, and experience with the LangChain ecosystem are essential for this role.

How does a manager Langchain typically collaborate with cross-functional teams during AI-powered application development?

As a Manager Langchain, you will frequently work with data scientists, software engineers, product managers, and UX designers to ensure seamless integration of language models into applications. Effective communication is key, as you’ll be translating technical requirements into project plans and helping to resolve bottlenecks. You’ll also coordinate code reviews, monitor project progress, and facilitate knowledge sharing to align everyone toward project goals. This cross-functional collaboration is crucial for delivering scalable, user-centric AI solutions.

What are the key skills and qualifications needed to thrive as a manager Langchain, and why are they important?

To thrive as a Manager Langchain, you need a strong background in software engineering, natural language processing (NLP), and experience with AI/ML frameworks, often supported by a degree in computer science or a related field. Proficiency with LangChain, Python programming, cloud platforms (such as AWS or GCP), and familiarity with LLM APIs like OpenAI is highly valuable. Excellent leadership, project management, and communication skills help in guiding teams and translating technical requirements into actionable plans. These capabilities are essential for delivering effective AI solutions, ensuring project success, and maintaining alignment between technical and business objectives.

What is the difference between Manager Langchain vs Data Scientist?

AspectManager LangchainData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; experience with NLP and AI toolsBachelor's or master's in CS, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTeam leadership, project management, collaboration with AI developersData analysis, model development, data visualization, research
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Manager Langchain focuses on leading AI projects and managing teams, whereas Data Scientists primarily analyze data and develop models. The Manager Langchain oversees project execution, while Data Scientists handle data analysis and model building.

What are the most commonly searched types of Langchain jobs in Michigan?

The most popular types of Langchain jobs in Michigan are:

What are popular job titles related to Manager Langchain jobs in Michigan?

For Manager Langchain jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Manager Langchain jobs in Michigan look for?

The top searched job categories for Manager Langchain jobs in Michigan are:

What cities in Michigan are hiring for Manager Langchain jobs?

Cities in Michigan with the most Manager Langchain job openings:

Enterprise Account Executive (Ohio)

LangChain

Detroit, MI • On-site

$300 - $350/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

About Us

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

About LangChain

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

About the role:

We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.

This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you’re a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.

What You’ll Do:
  • Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
  • Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
  • Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
  • Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
  • Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
  • Negotiate pricing and deal terms and work with legal to redline contracts
  • Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
  • Help define and iterate on our sales playbook - your input will help shape our go to market strategies

How to be successful in this role:

  • 5+ years of experience selling complex software to enterprise customers
  • A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
  • Excellent communication and storytelling skills
  • Technical acumen with the ability to establish credibility with technical decision makers.
  • You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
  • Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
  • Passionate about generative AI and excited to help customers navigate a rapidly evolving industry

Compensation & Benefits:

  • We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
  • Annual OTE range: $300,000 - 350,000 USD

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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