Revenue AI Solutions Analyst

Sandisk

$120K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI and machine learning roles
  • Bachelor's degree required; Master's degree preferred
  • Proficient in Python and modern AI/ML frameworks
  • Hands-on experience with predictive models, ML pipelines, or LLM solutions
  • Experience in integrating AI with CRM, ERP, or data platforms

Responsibilities

  • Design and build AI and machine learning solutions for various operational functions
  • Translate business workflows into scalable AI architectures
  • Develop prototypes and production-ready solutions using predictive models and ML pipelines
  • Embed AI functionalities into Salesforce and related technologies
  • Collaborate with domain teams to refine AI solutions based on real-world constraints
  • Partner with IT and Security teams to ensure scalability and compliance
  • Establish standards and best practices for AI adoption in Revenue Operations

Benefits

  • Paid vacation and sick leave
  • Comprehensive medical, dental, and vision insurance
  • Life, accident, and disability insurance
  • Tuition reimbursement program
  • Employee stock purchase plan and 401(k) savings plan
Full Job Description
Job Description

We are seeking a hands-on AI builder to join Revenue Operations and help turn high-impact business use cases into real, deployed AI solutions. This is not a research or strategy-only role. You will design, build, and operationalize AI capabilities that are embedded directly into how Sales, Operations, and Finance work every day.

As a Revenue AI Solutions Analyst, you will work at the intersection of business, data, and enterprise systems. You will partner closely with Sales Operations, Customer Operations, Service Operations, Finance, IT, and Data teams to translate real operational problems into working AI solutions and bring them into production.

Essential Duties and Responsibilities:
  • Design and build AI and machine learning solutions across forecasting, pricing, Sales 360, service operations, and RMA.
  • Translate business workflows and use cases into scalable AI architectures and implementations.
  • Build prototypes, MVPs, and production-ready solutions using predictive models, ML pipelines, and LLM-based agents.
  • Embed AI capabilities into Salesforce and the broader Revenue Operations technology stack.
  • Work hands-on with domain teams to iteratively refine use cases and solutions based on real-world constraints.
  • Partner with IT, Data, and Security teams to ensure solutions are scalable, secure, and compliant.
  • Help define standards, patterns, and best practices for AI adoption within Revenue Operations.

What This Role Is Not
  • Not a research or academic AI role
  • Not a strategy-only or slide-focused role
  • Not a vendor management or consulting coordination role
  • Not a traditional data scientist working in isolation

Why This Role Matters
This role will have direct impact on revenue predictability, margin protection, and operational scale. You will help accelerate SanDisk's adoption of AI in ways that materially change how the company operates, making Revenue Operations smarter, faster, and more resilient

Qualifications

Required:
  • Minimum 5-7 years experience
  • Bachelor's degree required, Masters degree preferred.
  • Strong hands-on experience with Python and modern AI/ML frameworks
  • Experience building predictive models, ML pipelines, or LLM-based solutions
  • Experience integrating AI into enterprise systems such as CRM, ERP, or data platforms

Preferred:
  • Ability to work with imperfect, real-world business data
  • Strong understanding of business processes in Sales, Operations, or Revenue environments
  • Ability to explain technical concepts clearly to non-technical stakeholders
  • Pragmatic, delivery-oriented mindset with a bias for action


Compensation & Benefits Details
  • An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
  • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
  • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards.
  • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan.
  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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