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Machine Learning Manager Jobs in Arizona (NOW HIRING)

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious ...

Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management. Lotlinx provides employees ...

Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management. Lotlinx provides employees ...

Design, develop, validate, deploy, and monitor data processing and machine learning pipelines ... Adhere to coding, documentation, and quality standards; manage technical deliverables for assigned ...

Design, develop, validate, deploy, and monitor data processing and machine learning pipelines ... Adhere to coding, documentation, and quality standards; manage technical deliverables for assigned ...

... machine learning models that power Relativity's next generation of AI-driven product capabilities. You will collaborate closely with applied scientists, engineers, product managers, and designers to ...

Work with IT to implement machine learning models into production * In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database ...

Work with IT to implement machine learning models into production * In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database ...

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Machine Learning Manager information

See Arizona salary details

$47.5K

$76.1K

$110K

How much do machine learning manager jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning manager in Arizona is $76,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $86,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
GTM Account Manager (Emerging Products)

GTM Account Manager (Emerging Products)

Lotlinx

Phoenix, AZ • On-site

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management.

Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities.

Role Summary

We are seeking a hybrid hunter and Account Manager. You will take our newest, cutting-edge AI and Machine Learning innovations from the lab to the dealership floor. You will be responsible for both the initial "win" (the sale) and the ongoing "proof" (the performance).

This is a non-remote, in-office position situated in the heart of beautiful downtown Chandler, Arizona.

Key Responsibilities

  • Market Discovery: Working closely with existing client managers, identify early-adopting clients and secure agreements for pilot programs for new Lotlinx products.
  • Technical Solution Selling: Translate complex ML, AI, and data-driven inventory strategies into clear ROI for dealership owners and operators. Continuous improvement and refinement of sales and account management motions.
  • Product Performance Ownership: Post-sale, you are the Account Manager. You will monitor the product's output, ensuring the product & performance are optimized, and the dealership is seeing the promised lift in inventory turnover.
  • Strategic Feedback Loop: Act as a liaison between the customer and our Product and Go-to-Market teams. You will collaborate to identify which products are winners to scale and which are not, how to best communicate the value we are delivering to clients from the new solutions, and provide input on whether or not these new offerings are ready or should be taken off-market or pivoted.
  • Revenue Accountability: Manage a sales pipeline while simultaneously managing a portfolio of active accounts, ensuring high retention.

Qualifications

  • 5+ years of high-performance sales experience with a track record of launching new products or territories.
  • Bachelor's degree preferred, or equivalent professional experience.
  • Skilled in analyzing data, interpreting KPIs, and presenting insights to senior leaders.
  • Proficiency with CRM tools (Salesforce or similar) and Excel (pivot tables, lookups).
  • Comfortable working in a fast-paced, technology-driven environment.
  • Proven track record of sales success.

What We Are Looking For

  • The Nature of a Salesperson: You are a natural hunter. You aren't afraid of "No," and you have the drive to push a new concept into a traditional market.
  • AI/ML Fluency: You don't need to write the code, but you must understand the mechanics of machine learning, predictive modeling, and data attribution. You can explain complex technology in a way that builds trust.
  • Agility & Grit: We are building the future, which means some products will fail. You must be resilient enough to pivot your strategy mid-stream and keep the customer engaged.
  • Industry Agnostic: We value technical SaaS experience over automotive tenure. If you've sold complex, data-heavy products in AdTech, MarTech, or Enterprise SaaS, we want to talk to you.

Salary Range: $75,000 - $90,000 base salary + a generous commission structure

Benefits: Medical, Dental, Vision, Matching 401k

Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Lotlinx is not currently able to offer sponsorship for employment visa status.

Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada.

Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.