
Sr. Business Systems Analyst
Required skills
Salesforce
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About The Role
The Senior Business Systems Analyst will be a key member of Snorkel’s Revenue Operations team. In this role, you will partner closely with Sales and Delivery stakeholders to understand operational needs and ensure our systems, especially Salesforce, are configured to support how our teams sell, deliver, and scale customer engagements.
You will also collaborate cross-functionally with Marketing, Finance, Analytics, Legal and Enablement teams to ensure new processes, system updates, and workflow improvements are aligned across the organization and do not negatively impact downstream systems or operational dependencies.
This is a hands-on role. The ideal candidate will not only gather and define business requirements but will also design and implement solutions across our GTM systems, including Salesforce and connected tools such as Gong, Outreach, Clay, and others, ensuring that systems capabilities align with operational needs.
What You’ll Do
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Partner with Sales and Delivery leadership to gather, document, and prioritize business requirements for operational systems and workflows.
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Translate business needs into scalable system designs and implement solutions directly in Salesforce, including objects, flows, validation rules, automation, and configuration updates.
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Collaborate with Revenue Operations and cross-functional teams (Marketing, Finance, Analytics, Delivery, and Supply) to ensure system changes and new processes align across teams and do not negatively impact downstream systems.
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Implement SOPs, governance frameworks, and system controls to improve Salesforce data hygiene and maintain Salesforce as a trusted source of truth.
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Evaluate existing operational processes and recommend system and workflow improvements that increase efficiency and scalability.
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Support the rollout of new system capabilities and enhancements across Salesforce and connected business systems.
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Ensure system changes are properly tested, documented, and communicated to stakeholders.
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Partner with Enablement to ensure systems and new processes are effectively adopted and consistently utilized across teams.
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Manage system change requests and collaborate with Rev Ops leadership on prioritization and rollout planning.
Required Qualifications
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5+ years of experience in Business Systems Analysis, Revenue Operations, Sales Operations, or similar operational roles
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Strong experience gathering and translating business requirements into system solutions
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Salesforce Administrator certification with hands-on experience in Salesforce administration and configuration
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Familiarity with system integrations or workflow automation tools.
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Experience supporting Sales and Delivery operational workflows
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Strong documentation and process mapping skills
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Excellent stakeholder management and cross-functional communication skills
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Strong analytical and problem-solving abilities with high attention to detail
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Ability to manage multiple initiatives in a fast-moving environment
Bonus Points For
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Salesforce Advanced Administrator certification.
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Experience in B2B SaaS or AI/technology companies.
Location: Bay Area strongly preferred, Open to Remote.
Salary Range $170,000—$200,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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About Snorkel AI

Snorkel AI
Series CSnorkel AI develops a data-centric AI platform that enables organizations to programmatically build and manage training datasets for machine learning models. The company focuses on weak supervision techniques to reduce the need for manual data labeling.
51-200
Employees
Palo Alto
Headquarters
$1B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
3.8
Culture
4.1
Career
3.5
Management
2.4
65%
Recommend to a friend
Pros
Supportive and inclusive culture
Innovative projects and technology
Good work-life balance and flexibility
Cons
Poor management and communication
High workload and long hours
Fast-paced and stressful environment
Salary Ranges
22 data points
Senior
Senior · Data Scientist
0 reports
$265,000
total per year
Base
$190,000
Stock
$75,000
Bonus
-
$225,250
$304,750
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