... Devin, Cursor, and other AI-assisted development platforms to rapidly solve problems and iterate Customer Enablement & Developer Experience • Lead workshops, office hours, and hands-on sessions ...
... Devin, Cursor, and other AI-assisted development platforms to rapidly solve problems and iterate Customer Enablement & Developer Experience • Lead workshops, office hours, and hands-on sessions ...
Senior Software Engineer (.NET)
$124K - $164K/yr
Champion and actively use AI-assisted development tools (Cursor, GitHub Copilot, Devin) and help the broader team integrate them into daily workflows -- from code generation and PR review to test ...
Senior Software Engineer (.NET)
$124K - $164K/yr
Champion and actively use AI-assisted development tools (Cursor, GitHub Copilot, Devin) and help the broader team integrate them into daily workflows -- from code generation and PR review to test ...
Senior Software Engineer (.NET)
$124K - $163K/yr
Champion and actively use AI-assisted development tools (Cursor, GitHub Copilot, Devin) and help the broader team integrate them into daily workflows - from code generation and PR review to test ...
Senior Software Engineer (.NET)
$124K - $163K/yr
Champion and actively use AI-assisted development tools (Cursor, GitHub Copilot, Devin) and help the broader team integrate them into daily workflows - from code generation and PR review to test ...
Senior Software Engineer (.NET)
Hopkins, MN · On-site
$124K - $164K/yr
Champion and actively use AI-assisted development tools (Cursor, GitHub Copilot, Devin) and help the broader team integrate them into daily workflows - from code generation and PR review to test ...
Senior Software Engineer (.NET)
Hopkins, MN · On-site
$124K - $164K/yr
Champion and actively use AI-assisted development tools (Cursor, GitHub Copilot, Devin) and help the broader team integrate them into daily workflows - from code generation and PR review to test ...
Devin information
What is the difference between Devin vs Data Analyst?
| Aspect | Devin | Data Analyst |
|---|---|---|
| Required Credentials | Typically no formal certification required, but familiarity with data tools helps | Bachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Data Analyst often preferred |
| Work Environment | Often in creative or technical teams, may involve project-based work | Usually in office or remote settings, analyzing data sets to inform business decisions |
| Employer & Industry Usage | Used in various industries including tech, marketing, and finance for data-related tasks | Commonly employed across industries for data interpretation and reporting |
Devin and Data Analyst roles share some overlap in working with data, but Devin may focus more on technical or creative tasks without requiring formal certifications, whereas Data Analysts typically have specific educational backgrounds and certifications. Both roles are integral in data-driven environments, but their responsibilities and qualifications differ based on industry needs.
What are Devin roles in the workplace?
Devin is an AI-powered software engineering platform designed to automate tasks that are traditionally performed by human developers. It can write code, debug, perform code reviews, and even manage end-to-end software projects with minimal human supervision. Devin acts as an autonomous agent, collaborating with teams to streamline workflows, increase productivity, and reduce the time needed to deliver software solutions.
What are some common challenges software developers face when collaborating with cross-functional teams?
Software developers often work closely with designers, product managers, and QA engineers to deliver high-quality products. A common challenge is ensuring clear and consistent communication across diverse teams, especially when priorities or technical understanding differ. Developers may also need to balance technical requirements with user experience goals, requiring flexibility and strong problem-solving skills. Developing effective collaboration habits and utilizing agile methodologies can help navigate these challenges and foster a productive team environment.
What are the key skills and qualifications needed to thrive as a Software Developer, and why are they important?
To thrive as a Software Developer, you need proficiency in programming languages (such as Java, Python, or JavaScript), problem-solving abilities, and typically a degree in computer science or a related field. Familiarity with version control systems like Git, development frameworks, and relevant certifications (such as AWS Certified Developer) are often required. Strong communication, teamwork, and adaptability help developers excel in collaborative and fast-paced environments. These skills and qualities ensure the ability to build efficient software solutions, work effectively with others, and adapt to evolving technology.
What are popular job titles related to Devin jobs in Minnesota? For Devin jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Devin jobs in Minnesota look for? The top searched job categories for Devin jobs in Minnesota are:
What cities in Minnesota are hiring for Devin jobs? Cities in Minnesota with the most Devin job openings:
Job description
Job Summary:
Dice is seeking a Go-To-Market Lead to join their Digital Technology & Innovation organization, which focuses on advancing enterprise AI capabilities. This role involves defining and executing strategies for AI adoption, building prototypes, and collaborating with business teams to integrate Generative AI solutions into workflows.
Responsibilities:
• Define and execute GTM strategies for enterprise AI capabilities, with emphasis on LLMs, agentic systems, and composable AI platforms
• Drive adoption of APIs, agent frameworks, orchestration layers, and developer tools through targeted enablement and engagement
• Lead feature launches and platform rollouts, translating technical capabilities into clear business value narratives Forward-Deployed Engineering & Solution Acceleration
• Partner directly with business and engineering teams to design, prototype, and deploy GenAI and agentic solutions
• Build hands-on demos, reference implementations, and rapid prototypes that showcase platform capabilities in real-world use cases
• Engage in pair programming, debugging, and solution development, accelerating time from concept to production
• Leverage tools such as GitHub Copilot, Devin, Cursor, and other AI-assisted development platforms to rapidly solve problems and iterate Customer Enablement & Developer Experience
• Lead workshops, office hours, and hands-on sessions focused on building with LLMs, RAG architecture, and agentic workflows
• Develop scalable enablement assets (SDKs, playbooks, reusable components, prompt libraries, agent templates)
• Improve developer experience and time-to-value by identifying friction points and driving improvements across tooling and documentation Solution Strategy & Agentic Architecture
• Translate business problems into GenAI and agentic solution architectures, incorporating patterns such as RAG, tool use, multi-agent orchestration, and memory frameworks
• Partner with platform teams to define reusable design patterns, accelerators, and reference architectures
• Stay at the forefront of GenAI, agentic systems, LLMOps, and emerging AI-native development paradigms Feedback Loop & Product Influence
• Establish tight feedback loops with end users to shape platform roadmap and prioritize enhancements
• Capture insights across deployments to inform improvements in usability, performance, and scalability of AI solutions
• Champion a customer-first, experimentation-driven culture across AI initiatives Stakeholder Engagement & Communication
• Act as a trusted advisor bridging technical depth and business strategy
• Communicate complex AI concepts clearly to both technical and non-technical audiences
• Deliver executive-ready updates highlighting adoption, business impact, and innovation Outcomes Governance, Security & Responsible AI
• Ensure adherence to responsible AI principles, model governance, data security, and regulatory requirements
• Collaborate with risk, compliance, and security teams to operationalize safe and compliant AI deployments
Qualifications:
Required:
• 4+ years of experience in Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years in go-to-market leadership, technical product, solution engineering, or forward-deployed engineering roles
• Hands-on experience building with GenAI/LLMs and agent-based systems, including rapid prototyping and deployment
• Strong programming skills and experience working with modern development stacks and APIs
• 3+ years of experience with cloud platforms (Google Cloud Platform or Azure) and containerization (Docker, Kubernetes/OpenShift)
Preferred:
• Deep expertise in Generative AI and agentic architectures, including: LLMs, RAG, embeddings, vector search
• Agent frameworks (LangChain, LangGraph, AutoGen, ADK, or similar)
• Tool use, orchestration, and multi-agent systems
• Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Devin, Cursor) to accelerate innovation and delivery
• Strong familiarity with LLMOps practices: prompt/version management, evaluation, observability, guardrails
• Experience building end-to-end AI applications, from prototype to production
• Proven ability to build demos, prototypes, and customer-facing solutions that drive adoption
• Experience in large-scale enterprise environments, preferably in regulated industries
• Strong communication and stakeholder management skills with ability to influence senior leaders
• Ability to operate as both a strategic leader and hands-on builder
Company:
Dice offers a marketplace that enables direct connections between recruiters and technologists. Founded in 1990, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Dice is seeking a Go-To-Market Lead to join their Digital Technology & Innovation organization, which focuses on advancing enterprise AI capabilities. This role involves defining and executing strategies for AI adoption, building prototypes, and collaborating with business teams to integrate Generative AI solutions into workflows.
Responsibilities:
• Define and execute GTM strategies for enterprise AI capabilities, with emphasis on LLMs, agentic systems, and composable AI platforms
• Drive adoption of APIs, agent frameworks, orchestration layers, and developer tools through targeted enablement and engagement
• Lead feature launches and platform rollouts, translating technical capabilities into clear business value narratives Forward-Deployed Engineering & Solution Acceleration
• Partner directly with business and engineering teams to design, prototype, and deploy GenAI and agentic solutions
• Build hands-on demos, reference implementations, and rapid prototypes that showcase platform capabilities in real-world use cases
• Engage in pair programming, debugging, and solution development, accelerating time from concept to production
• Leverage tools such as GitHub Copilot, Devin, Cursor, and other AI-assisted development platforms to rapidly solve problems and iterate Customer Enablement & Developer Experience
• Lead workshops, office hours, and hands-on sessions focused on building with LLMs, RAG architecture, and agentic workflows
• Develop scalable enablement assets (SDKs, playbooks, reusable components, prompt libraries, agent templates)
• Improve developer experience and time-to-value by identifying friction points and driving improvements across tooling and documentation Solution Strategy & Agentic Architecture
• Translate business problems into GenAI and agentic solution architectures, incorporating patterns such as RAG, tool use, multi-agent orchestration, and memory frameworks
• Partner with platform teams to define reusable design patterns, accelerators, and reference architectures
• Stay at the forefront of GenAI, agentic systems, LLMOps, and emerging AI-native development paradigms Feedback Loop & Product Influence
• Establish tight feedback loops with end users to shape platform roadmap and prioritize enhancements
• Capture insights across deployments to inform improvements in usability, performance, and scalability of AI solutions
• Champion a customer-first, experimentation-driven culture across AI initiatives Stakeholder Engagement & Communication
• Act as a trusted advisor bridging technical depth and business strategy
• Communicate complex AI concepts clearly to both technical and non-technical audiences
• Deliver executive-ready updates highlighting adoption, business impact, and innovation Outcomes Governance, Security & Responsible AI
• Ensure adherence to responsible AI principles, model governance, data security, and regulatory requirements
• Collaborate with risk, compliance, and security teams to operationalize safe and compliant AI deployments
Qualifications:
Required:
• 4+ years of experience in Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years in go-to-market leadership, technical product, solution engineering, or forward-deployed engineering roles
• Hands-on experience building with GenAI/LLMs and agent-based systems, including rapid prototyping and deployment
• Strong programming skills and experience working with modern development stacks and APIs
• 3+ years of experience with cloud platforms (Google Cloud Platform or Azure) and containerization (Docker, Kubernetes/OpenShift)
Preferred:
• Deep expertise in Generative AI and agentic architectures, including: LLMs, RAG, embeddings, vector search
• Agent frameworks (LangChain, LangGraph, AutoGen, ADK, or similar)
• Tool use, orchestration, and multi-agent systems
• Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Devin, Cursor) to accelerate innovation and delivery
• Strong familiarity with LLMOps practices: prompt/version management, evaluation, observability, guardrails
• Experience building end-to-end AI applications, from prototype to production
• Proven ability to build demos, prototypes, and customer-facing solutions that drive adoption
• Experience in large-scale enterprise environments, preferably in regulated industries
• Strong communication and stakeholder management skills with ability to influence senior leaders
• Ability to operate as both a strategic leader and hands-on builder
Company:
Dice offers a marketplace that enables direct connections between recruiters and technologists. Founded in 1990, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.