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Remote Computer Science Internship Jobs in Montana

Senior AI Product Manager

Bozeman, MT · On-site +1

$129K - $170K/yr

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Care Manager

Billings, MT · Remote

$41.20 - $62.17/hr

Bachelor of Science in Nursing (BSN) from an accredited institution (degree verification required ... Basic computer skills, including proficiency in word processing and spreadsheet software.

Care Manager

Billings, MT · Remote

$41.20 - $62.17/hr

Bachelor of Science in Nursing (BSN) from an accredited institution (degree verification required ... Basic computer skills, including proficiency in word processing and spreadsheet software.

Care Manager

Billings, MT · Remote

$41.20 - $62.17/hr

Bachelor of Science in Nursing (BSN) from an accredited institution (degree verification required ... Basic computer skills, including proficiency in word processing and spreadsheet software.

Care Manager

Billings, MT · Remote

$41.20 - $62.17/hr

Bachelor of Science in Nursing (BSN) from an accredited institution (degree verification required ... Basic computer skills, including proficiency in word processing and spreadsheet software.

... science, energy, finance, risk, adaptation, land management and corporate climate action.. * Some ... internships can count towards this. * A capacity to be truly accepting, caring and supportive ...

Senior Civil/Structural Engineer

Billings, MT · On-site +1

$120K - $149K/yr

... sciences, energy and chemicals, power and food and beverage. We are committed to innovation ... Coordinate closely with BIM/CAD designers and multi-discipline teams to deliver fully integrated ...

$14.75 - $19.50/hr

Remote Duration: 10-12 weeks (Summer 2025)

$14.25 - $19/hr

Remote Duration: 10-12 weeks (Summer 2025)

Showing results 21-40

Remote Computer Science Internship information

See Montana salary details

$8

$27

$79

How much do remote computer science internship jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote computer science internship in Montana is $27.69, according to ZipRecruiter salary data. Most workers in this role earn between $12.04 and $33.43 per hour, depending on experience, location, and employer.

What is a remote computer science internship?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What kind of support and mentorship can I expect during a remote computer science internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.

What are the key skills and qualifications needed to thrive in a remote computer science internship, and why are they important?

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

What are popular job titles related to Remote Computer Science Internship jobs in Montana?

For Remote Computer Science Internship jobs in Montana, the most frequently searched job titles are:

What cities in Montana are hiring for Remote Computer Science Internship jobs?

Cities in Montana with the most Remote Computer Science Internship job openings:

Infographic showing various Remote Computer Science Internship job openings in Montana as of June 2026, with employment types broken down into 14% Internship, 62% Full Time, 20% Part Time, and 4% Temporary. Highlights an 100% Remote job distribution, with an average salary of $57,599 per year, or $27.7 per hour.

Senior AI Product Manager

Workiva, Inc.

Bozeman, MT • On-site, Remote

$129K - $170K/yr

Full-time

Retirement

Re-posted 10 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 244 rated software companies


Job description

Workiva is seeking a Senior AI Product Manager to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva's platform. In this role, you will bridge the gap between advanced data science and practical customer value, translating complex AI capabilities into tangible business value for our customers, with a strong emphasis on shipping impactful products from conception to widespread adoption.

You will collaborate directly with engineering, data science, and design teams to deliver high-performance enterprise tools that maximize platform intelligence and user efficiency.

What You'll Do

Product Strategy & Vision

  • Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities

  • Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation

  • Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes

Product Lifecycle Management & Delivery

  • Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization

  • Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals

  • Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences

  • Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features

Technical Acumen & Collaboration

  • Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures

  • Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions

  • Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible and align with our platform's underlying infrastructure

Stakeholder Engagement & Go-to-Market

  • Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features

  • Gather feedback from internal and external stakeholders, acting as the voice of the customer within the product development process

  • Present product strategies, roadmaps, and updates to executive leadership, customers, and other key stakeholders

What You'll Need

Minimum Qualifications

  • 6+ years of product management experience in software development or related field

  • Proven track record of successfully shipping products that have achieved market adoption and business impact

  • Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Preferred Qualifications

  • 2-3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment

  • Practical experience managing products that leverage Natural Language Processing (NLP), Large Language Models (LLMs), or automated agentic workflows

  • Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model evaluation metrics (e.g., precision, recall, latency)

  • Familiarity with enterprise software design principles, including microservices architectures and API-first product delivery

  • Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders

  • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced environment and manage multiple priorities effectively

  • Master's degree preferred

  • Certifications in product management or AI/ML preferred

Working Conditions & Travel Requirements

  • Ability to travel up to 20% to meet with customers, stakeholders, and product teams at other Workiva locations

  • Reliable internet connection required during remote work periods

How You'll Be Rewarded

Salary range in the US: $129,000.00 - $261,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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