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Remote Engineering Jobs in Bozeman, MT (NOW HIRING)

Senior AI Product Manager

Bozeman, MT · On-site +1

$129K - $170K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Reliable internet connection required during remote work periods How You'll Be Rewarded ✅ Salary ...

Senior AI Product Manager

Bozeman, MT · On-site +1

$129K - $170K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Data Center COE Project Manager

Bozeman, MT · Remote

$131K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ...

About Ardurra At Ardurra, we're more than an engineering and consulting firm--we're a team ... This exciting Fully-Remote opportunity for candidates residing in Montana or Idaho . This position ...

... remote, telehealth services to our clients. We're eager to work with forward-thinking mental health and substance use professionals to enhance our programming and provide the best possible care to ...

Showing results 21-32

Remote Engineering information

See Bozeman, MT salary details

$33.2K

$64.3K

$97.5K

How much do remote engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote engineering in Bozeman, MT is $64,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $73,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote engineer?

To thrive as a Remote Engineer, you need strong technical expertise in your engineering discipline, a relevant degree, and experience with distributed systems or remote collaboration. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and team communication software like Slack or Zoom is typically required. Excellent self-motivation, time management, and clear written communication distinguish top performers in remote settings. These skills and qualities are crucial for delivering high-quality engineering solutions and maintaining productivity while collaborating with geographically dispersed teams.

What is remote engineering?

Remote engineering refers to engineering work that is performed outside of a traditional office or job site, typically from home or another remote location. Remote engineers use digital tools and communication platforms to collaborate with teams, design systems, write code, or manage projects from anywhere in the world. This work arrangement allows for greater flexibility and can help companies access a wider pool of talent. However, it also requires strong communication skills and self-discipline to maintain productivity and teamwork.

How do remote engineering teams typically coordinate and communicate to ensure project success?

Remote engineering teams commonly use a combination of collaboration tools like Slack, Jira, and GitHub to stay connected and manage projects efficiently. Regular virtual stand-ups, sprint planning meetings, and code reviews help maintain alignment and transparency among team members. Clear documentation and proactive communication are essential to overcome time zone differences and prevent misunderstandings. Most teams also establish shared coding standards and utilize version control to streamline contributions from multiple engineers working remotely.

What is the difference between Remote Engineering vs Remote Software Developer?

AspectRemote EngineeringRemote Software Developer
Required CredentialsBachelor's in Engineering, relevant certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentDesign, testing, and overseeing engineering projects remotelyWriting, testing, and deploying software remotely
Employer & Industry UsageEngineering firms, manufacturing, infrastructureTech companies, startups, software firms
Search & Comparison IntentUnderstanding engineering roles vs software roles remotely

Remote Engineering involves designing and managing engineering projects remotely, often requiring technical certifications and a background in engineering disciplines. Remote Software Developers focus on coding and software deployment from a remote location, typically with programming certifications. While both roles can be performed remotely, Remote Engineering emphasizes project oversight and technical engineering tasks, whereas Remote Software Development centers on software creation and maintenance.

What are the most commonly searched types of Engineering jobs in Bozeman, MT? The most popular types of Engineering jobs in Bozeman, MT are:
What are popular job titles related to Remote Engineering jobs in Bozeman, MT? For Remote Engineering jobs in Bozeman, MT, the most frequently searched job titles are:
What job categories do people searching Remote Engineering jobs in Bozeman, MT look for? The top searched job categories for Remote Engineering jobs in Bozeman, MT are:
What cities near Bozeman, MT are hiring for Remote Engineering jobs? Cities near Bozeman, MT with the most Remote Engineering job openings:
Infographic showing various Remote Engineering job openings in Bozeman, MT as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $64,268 per year, or $30.9 per hour.

Senior AI Product Manager

Workiva Inc.

Bozeman, MT • On-site, Remote

$129K - $170K/yr

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 242 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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