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Remote Machine Learning Finance Jobs in Moultrie, GA

Senior BI Product Manager ID65844

Boston, GA · On-site +1

$103K - $137K/yr

... Machine Learning, and AI opportunities, uncovering the "what" and "why" behind financial data needs. - Author clean PRDs, roadmaps, and non-technical business requirements, partnering closely with ...

Remote Machine Learning Finance information

See Moultrie, GA salary details

$21.7K

$80.4K

$117.6K

How much do remote machine learning finance jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote machine learning finance in Moultrie, GA is $80,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $94,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What are popular job titles related to Remote Machine Learning Finance jobs in Moultrie, GA?

For Remote Machine Learning Finance jobs in Moultrie, GA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Finance jobs in Moultrie, GA look for?

The top searched job categories for Remote Machine Learning Finance jobs in Moultrie, GA are:

What cities near Moultrie, GA are hiring for Remote Machine Learning Finance jobs?

Cities near Moultrie, GA with the most Remote Machine Learning Finance job openings:

Senior BI Product Manager ID65844

AgileEngine

Boston, GA • On-site, Remote

$103K - $137K/yr

Full-time

Posted 11 days ago


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior BI Product Manager to act as the subject-matter expert across Quote-to-Cash and Order-to-Cash processes, connecting financial data to real business decisions. This person turns operational friction into data, analytics, and AI/ML opportunities, working with Sales, Legal, Accounting, and Product. Comfort with ERP and CPQ systems matters.

WHAT YOU WILL DO
- Build relationships across internal FinSys teams (Orders, Invoicing, Billing) and finance leadership to surface operational friction points.
- Connect operational pain points to BI, Machine Learning, and AI opportunities, uncovering the "what" and "why" behind financial data needs.
- Author clean PRDs, roadmaps, and non-technical business requirements, partnering closely with Technical Delivery Managers (TDMs) and engineering teams who architect the technical solutions.
- Ensure complex commercial and financial processes (quoting, deal structuring, billing, and revenue recognition) are accurately captured in downstream data products.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 5+ years of Product Management experience within Financial Systems, FinSys BI, Order-to-Cash, or Revenue Operations in SaaS or tech environments.
- Solid grasp of core accounting terminology, the contract lifecycle, billing, entitlement, and downstream revenue recognition (including ASC 606 impacts).
- Exceptional communication skills and high energy, with genuine comfort proactively reaching out to busy product managers, finance, and legal leaders to map processes and drive alignment.
- Proven ability to validate pricing, order, and contract data for troubleshooting, reporting, and building operational dashboards.
- Strong analytical, process mapping, and documentation skills, including experience defining non-technical functional specs for technical teams to execute.
- General understanding of ERPs (Workday, NetSuite, SAP) and CPQ/CLM tools (Salesforce CPQ, Zuora, Conga, Icertis, DocuSign CLM, Ironclad) and how their data flows into BI platforms.
- Upper-intermediate English level.

NICE TO HAVES
- Conceptual comfort with modern data stacks and the business applications of GenAI, LLMs, or predictive ML models within corporate finance.
- Prior experience in a high-volume marketplace or enterprise sales environment with complex deal structures.
- Background in contract analytics, obligation tracking, or process improvement methodologies (Lean, Six Sigma) applied to financial systems.

PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location