1

Generative Ai Project Manager Jobs in Appleton, WI

We are seeking a dedicated, innovative, and results-driven Transportation Project Manager to lead ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Project Manager

Oshkosh, WI · On-site

$117K - $156K/yr

By people, strengthened through AI and technology that enhance collaboration, transparency, and ... Experience managing project delivery fundamentals including safety, schedule, cost, quality, and ...

Senior Project Manager

Oshkosh, WI · On-site

$117K - $156K/yr

By people, strengthened through AI and technology that enhance collaboration, transparency, and ... Experience managing project delivery fundamentals including safety, schedule, cost, quality, and ...

Store Manager

Appleton, WI · On-site

$52K - $78K/yr

As the Store Manager you will build and retain a high performing team, create a consistent ... During any live interview (virtual or in-person), candidates must not use real-time generative AI ...

Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some ... Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate the quality ...

At Bildt, we build more than complex projects, and we build strong relationships, great teams, and ... By people, strengthened through AI and technology that enhance collaboration, transparency, and ...

next page

Showing results 1-20

Generative Ai Project Manager information

See Appleton, WI salary details

$37.6K

$100.2K

$158.1K

How much do generative ai project manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for generative ai project manager in Appleton, WI is $100,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $120,000.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a Generative AI Project Manager, and why are they important?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
What are popular job titles related to Generative Ai Project Manager jobs in Appleton, WI? For Generative Ai Project Manager jobs in Appleton, WI, the most frequently searched job titles are:
What job categories do people searching Generative Ai Project Manager jobs in Appleton, WI look for? The top searched job categories for Generative Ai Project Manager jobs in Appleton, WI are:
What cities near Appleton, WI are hiring for Generative Ai Project Manager jobs? Cities near Appleton, WI with the most Generative Ai Project Manager job openings:
Infographic showing various Generative Ai Project Manager job openings in Appleton, WI as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $100,189 per year, or $48.2 per hour.
Senior AI Engineer (Breakthrough)

Senior AI Engineer (Breakthrough)

U.S. Venture, Inc.

Green Bay, WI • On-site

$101K - $139K/yr

Full-time

Posted 3 days ago


U.S. Venture rating

7.3

Company rating: 7.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

169th of 343 rated retail wholesalers


Job description

POSITION SUMMARY
Join our Breakthrough Engineering team with our newly added Senior AI Engineer role! We are seeking a talented and experienced senior level engineer with a background in generative AI and machine learning to join our innovative engineering team. In this role, you will contribute to the design, development, and maintenance of full-stack software solutions, with a focus on integrating AI/ML technologies to enhance our products and services.
Over $20 trillion of freight moves through the U.S. economy every year, and most of it is still managed through fragmented data, manual processes, and knowledge that lives in people's heads. We're changing that. Breakthrough is building agentic AI that can reason through complex, customer-specific freight scenarios and operate reliably in workflows where the stakes are measured in real dollars.
Agentic capability is becoming the foundation of how every product in our portfolio works. This is not a side project. You'll join a team of engineers, product managers, and domain experts building production agentic systems from the ground up.
Freight is a deceptively complex domain: fragmented data sources, constantly shifting constraints, and an ecosystem of carriers, shippers, and intermediaries that doesn't sit still.
The problems you'll work on include:
• Designing agent reasoning that navigates complex, customer-specific freight scenarios
• Solving entity resolution and data integration across diverse data sources
• Building evaluation and reliability frameworks that prove agent decisions are sound before they touch customer workflows
• Defining orchestration patterns that scale from a single product to platform-wide agentic capability
You'll work with years of real, proprietary freight data. You'll influence how these agents interact with users, working alongside product, design, and domain experts. This is not a research role. We ship. But the people who thrive here think deeply about how agents should work, not just how to make them work right now. If you've been building agentic systems and want to see what happens when they meet a hard, real-world domain with real data and real consequences, this is where that work happens.
This role is open to work on-site in Green Bay or remote/hybrid options based on relevancy of candidate experience. Note that final candidates will be required to interview on-site for this position.
JOB RESPONSIBILITIES
Generative AI and Machine Learning Development:
  • Implement and integrate generative AI models and machine learning algorithms into existing and new software solutions.
  • Fine-tune and optimize pre-trained AI/ML models for specific use cases.
  • Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

Full Stack Development:
  • Write clean, efficient, and maintainable code for AI-powered software applications.
  • Contribute to both frontend and backend development tasks as part of a cross-functional team, ensuring seamless integration of AI components.

Architectural Design:
  • Work closely with team members and product leads to understand requirements, design AI/ML-enabled features, and contribute to product success.
  • Participate in architectural discussions to determine the best ways to incorporate AI technologies into existing systems.

Technical Excellence:
  • Actively seek opportunities to learn about emerging AI/ML techniques, tools, and platforms.
  • Optimize and refactor code to address performance bottlenecks in AI/ML pipelines.
  • Write and execute robust unit and integration tests for AI/ML models and other software components.
  • Troubleshoot and resolve issues related to AI/ML model performance and system integration.

Innovation:
  • Stay updated on cutting-edge advancements in AI/ML, particularly in generative AI models.
  • Propose and implement creative solutions using AI to solve business problems and enhance user experiences.

Collaboration:
  • Partner with senior, staff, and principal engineers to refine development processes for AI/ML integration.
  • Share knowledge about AI/ML best practices with teammates and mentor junior engineers interested in the field.

QUALIFICATIONS
  • Bachelor's degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 7+ years as a software or data engineer
  • 2+ years experience in AI/ML engineering
  • Experience using AI/ML libraries and frameworks (e.g., Google ADK, LangChain/Graph, Anthropic, GPT, Gemini, Llama, Vertex, TensorFlow, Scikit-learn ) training and fine-tuning machine learning models, including supervised, unsupervised, and reinforcement learning approaches.
  • Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery.
  • Knowledge of application architectures, security best practices, and data integration concepts.
  • Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow.
  • Understanding of database concepts, data modeling, and data warehousing principles.
  • Understanding of distributed data management systems and related applications.
  • Familiarity with public cloud infrastructure design, tools, and strategies.
  • Knowledge of software development methodologies including Agile, Kanban, and Scrum.
  • Effective communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

Preferred:
  • Prior experience in a product focused technology team desired.
  • Prior experience with technical problem-solving and the ability to navigate complex technical challenges.

DIVISION:
Breakthrough
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
50-57-504-0000

What U.S. Venture employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom