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Remote Ai Coding Jobs in Minnesota (NOW HIRING)

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Remote Ai Coding information

What is remote AI coding?

Remote AI coding refers to the practice of developing and deploying artificial intelligence models and applications from a remote location, rather than working onsite at a company’s office. Remote AI coders use programming languages like Python, machine learning frameworks, and cloud platforms to create solutions such as chatbots, recommendation systems, and data analysis tools. This role allows professionals to collaborate with teams and clients across the globe using online communication and version control tools. Remote AI coding offers flexibility, access to a wider range of job opportunities, and the ability to work from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote AI Coding professional, and why are they important?

To thrive as a Remote AI Coding professional, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Git, and cloud platforms (e.g., AWS, Google Cloud) is typically required, along with certifications in AI or data science as a plus. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for collaborating remotely and managing independent tasks. These competencies enable efficient project delivery, innovation, and effective teamwork in a distributed work environment.

What is the difference between Remote Ai Coding vs Data Scientist?

AspectRemote Ai CodingData Scientist
Required CredentialsProgramming skills, AI/ML knowledge, sometimes certificationsStatistics, programming, often advanced degrees
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries
Industry UsageTech, AI startups, software firmsFinance, healthcare, tech, research
Common Search/ComparisonYesNo

Remote Ai Coding involves developing AI algorithms and models primarily through programming, often in a remote setting within tech-focused companies. Data Scientists analyze data to extract insights, requiring statistical expertise and often working across various industries. While both roles may work remotely, Remote Ai Coding is more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges faced by remote AI coding professionals, and how can they be overcome?

Remote AI coding professionals often encounter challenges such as collaborating across time zones, maintaining clear communication with team members, and managing complex projects without in-person oversight. To overcome these, it's important to establish regular check-ins using collaboration tools like Slack or Zoom, document code and project updates thoroughly, and leverage version control systems such as Git. Proactively communicating progress and blockers helps ensure alignment and smooth teamwork, even when working remotely.
What are the most commonly searched types of Ai Coding jobs in Minnesota? The most popular types of Ai Coding jobs in Minnesota are:
What are popular job titles related to Remote Ai Coding jobs in Minnesota? For Remote Ai Coding jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Ai Coding jobs in Minnesota look for? The top searched job categories for Remote Ai Coding jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Ai Coding jobs? Cities in Minnesota with the most Remote Ai Coding job openings:
Senior Product Manager, AI (Remote)

Senior Product Manager, AI (Remote)

Conveyor

International Falls, MN • On-site, Remote

$123K - $162K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Hi, we’re Conveyor 👋, creators of the #1 Customer Trust AI automation platform.

We solve problems that our customers “hate with the fury of 1000 suns” (actual quote!) - the dreaded customer security review and RFP processes. These are key parts of the B2B sales cycle, but both still involve too much time, effort, and mental anguish from those involved.

Enter Conveyor, where our mission is to eliminate all of the misery from B2B customer trust with maximum automation. We’ve made a lot of progress – we have an awesome customer list whose lives we’ve significantly impacted through product, this year we launched the first AI agents for security reviews (Sue) and RFPs (Phil), and we just raised a $20M Series B from SignalFire and OVF! (TechCrunch) But we have ambitious goals and we’re looking for our next Product Manager to help make them a reality.

The top 3 1/2 reasons you should be interested in working at Conveyor:

  1. You’ll be working on a great product with real Enterprise traction, on a slam-dunk AI use case

  2. Everyone on the team is amazing at their jobs. We care deeply about psychological safety, and believe that the ability to take risks and exist in the learning zone is critical to our success. This also comes with high accountability, which isn’t for everyone. But, you have the potential to have an outsize impact on the direction and success of the company.

  3. We’re highly transparent and collaborative. Giving constructive, thoughtful feedback and asking hard questions are highly encouraged! We come together to figure it out when times are hard, and in celebration when we get our wins.
    1/2. Plus, we’ll even teach you how to saber a bottle of champagne

About the role

We’re looking for a Senior Product Manager to discover, prioritize, and deliver innovative AI products at an unfair rate over our competition. This Product Manager will also empower the entire company with context so other teams can leverage the full potential of our product toward their respective business goals.

Your Impact: Outcomes You’ll Be Responsible For
  • Enabling Product, Engineering, and Design with clear, compelling, prioritized, de-risked problems to solve, with clear definitions of success

  • Enabling Sales, Marketing, and Customer Success with product, messaging, positioning, and supporting materials that address those needs

  • Improving key metrics with core personas, such as onboarding success rate, adoption, utilization, and Net Promoter Score

  • Identify greenfield verticals and use-cases for our business and launch new AI Agents

  • Burnish Conveyor’s market leadership and long-run defensibility by researching, building a vision for, and executing on new products, markets, services, and partnerships

Your AI Competencies
  • AI Curiosity & Creativity: You try new tools and explore new user paradigms made possible by AI. You bring a creative lens to old problems. You demonstrate a willingness to rethink user experiences from first principles given the period of technological change we are in. You learn quickly, because things are changing fast.

  • Metrics-driven: You have strong intuition about defining success using quantitative measures. You have an analytical mindset and can drill into data to diagnose patterns and prioritize improvements.

  • Familiarity with LLMs: You have a basic understanding of working with Large Language Models, including their performance constraints and tradeoffs.

  • Technical competence with AI tools: You can test LLM pipelines in a structured way in no-code tools, such as ChatGPT or various prototyping tools.

Your Core PM Competencies
  • Leadership. You lead through influence. You earn trust by being the most knowledgeable person in the room about the customer, by keeping trains moving in an organized fashion, and focusing your squad on what matters most at all times. Your squad trusts you with the important mandate of having impact on goals.

  • Customer Discovery. You are deeply curious, a great listener, and ask “Why?” with empathy and critical thinking. You have strong qualitative research skills, you understand cognitive bias, and you understand common risks to achieving success with software products. You have experience mitigating those risks.

  • Product Judgment. You can make hard decisions about priorities, trade-offs, and what to say “no” to, backed by just the right amount of data, experiments, and research, as part of an overall strategy or vision. The decisions are good ones and represent common sense, product judgment, and strategic intuition.

  • Collaborative. You understand the importance of a team. You are collaborative and make good use of resources, e.g., with well-planned meetings or workshops. You can work within Product/Eng/Design as well as with cross-functional teams (e.g., with Sales, Customer Success, and Marketing).

  • Oral communication. You communicate clearly and effectively in both 1:1s and group settings. You speak with purpose, listen actively, and adapt your style to your audience. Whether facilitating meetings, aligning stakeholders, or presenting strategy, you get to the point and drive clarity.

  • Written communication. You write clearly and effectively for a business audience. You can both summarize for executives while also offering depth for technical or curious readers.

Your Cultural Fit

At the end of the day, our culture is one of truth-seeking.

  • Bias to action. You are hungry and resilient. You take personal, proactive responsibility for clearing away ambiguity and moving projects forward. You identify and pull in relevant stakeholders as needed. You overcome blockers, you think ahead and plan, and you make decisions quickly based on available data.

  • Growth mindset. You solicit feedback and grow from it. You give constructive feedback, even if difficult, and contribute to our learning culture. You create a high-trust environment by honoring commitments, acknowledging mistakes, and owning up when the answer is “I don’t know” rather than making stuff up.

  • Insightfulness. You can crunch a lot of information at once and draw insights from it. You have high intellectual horsepower and original, novel ideas. You can become an expert in new domains quickly if the situation calls for it. You can be generative with hard problems.

Example backgrounds
  • 6+ years of early- or growth-stage B2B SaaS Product Management experience

  • 3 of those years can be subbed out for Founder experience at similar stage / industry

  • Hands-on experience building GenAI products (e.g., a RAG system, an AI Agent, NLP information extraction or entity resolution tool) - even if as a side-project

Compensation and benefits

The approximate salary range for this position is $175,000 - $200,000 with an options package.

In addition, we provide every employee with:

  • Comprehensive benefits package with employee medical, dental, and vision

  • 401k plan

  • Flexible vacation policy, with a recommended minimum of 20 days off

  • 14 weeks of paid parental leave

  • $1000 home office budget (annually) to set up your most productive working environment

  • Annual professional development budget available to attend conferences, events, and trainings

  • Company travel to team onsites 1-2 times per year where we come together to connect, collaborate, and eat exceptionally good food