Sales Operations Systems and Data Lead
Braze is hiring a Sales Operations Systems and Data Lead in Chicago, United States. It pays $89k-$140k a year and Level rates it ; you can apply on Level.
AI in this role
Architect GTM tech stack and build AI-driven automation workflows for sales operations and data enrichment.
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
Role Overview:
The Sales Operations Data & Systems Lead architects the technical foundation and data strategy powering our global sales organization. Reporting to the Senior Manager of Sales Operations, you will eliminate seller friction by owning GTM tech stack management, building high-integrity workflows, leading continuous Salesforce data cleanup initiatives, and deploying AI-driven solutions. You will directly fuel top-of-funnel growth by designing data pipelines for sourcing and enriching new accounts. As the primary steward of our GTM technology, you will architect robust reporting frameworks to ensure the Salesforce ecosystem remains a scalable, well-governed system of record that drives revenue productivity.
Key Responsibilities:
1. Systems Engineering & Tech Stack Management
- Architecture: Lead the technical configuration and governance of Salesforce and the broader GTM stack (Openprise, Clay, etc.)
- Automation & AI: Architect and maintain advanced automations using AI to reduce manual work and streamline account sourcing, enrichment, and routing
- GTM Tools Management: Manage the end-to-end lifecycle of GTM tools, from vendor selection and integration to user provisioning and ticket-based troubleshooting
2. Data Strategy & Governance
- Automated Data Integrity: Build scalable cleansing, deduplication, and enrichment workflows across all GTM data sources
- Governance Frameworks: Establish policies to improve data quality, governance, and cross-platform alignment
- ICP Signal Capture: Partner with Marketing and Sales to translate the Ideal Customer Profile (ICP) into technical signals to capture high-quality, actionable data for outbound teams
3. Process Optimization
- Friction Reduction: Redesign Opportunity management, approval flows, and renewal/expansion handoffs to increase seller productivity
- Change Management: Lead User Acceptance Testing (UAT), document SOPs, and conduct training to ensure high adoption of GTM tools and Salesforce system enhancements
4. Insights & Cross-Functional Collaboration
- Technical Advisory: Serve as the Sales Operations team’s Subject Matter Expert (SME) for data transformation, translating data into business solutions for stakeholders
- Performance Metrics: Develop dashboards and KPIs to track system health, data quality trends, and the ROI of automation initiatives
Sales Planning Data Projects: Cross-functional GTM leadership to execute data projects focused on TAM enrichment, white-space analysis, and strategic account segmentation.
Required Skills and Qualifications:
- 5+ years of hands-on Salesforce administration experience in a complex, fast-paced environment (certifications a plus)
- Highly preferred experience with Openprise, Clay, and/or Tray.io
- Experience managing sales data tech stack
- Experience administering and implementing AI-powered tools or workflows in a Go-to-Market Operations / Sales Operations context
- Strong proficiency in data analytics and reporting (Looker, Tableau, advanced Excel, Python and/or other advanced tools preferred)
- Proven experience gathering business requirements and translating them into well-architected system solutions
- Strong production support mindset, with the ability to balance urgent issues against longer-term platform improvements
- Excellent project management and communication skills
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $89,000 and $140,000/year, with an expected On Target Earnings (OTE) between $101,000 and $144,000/year (including bonus or commission).Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.
#LI-Hybrid
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you
OUR AI-POWERED BRAZE RECRUITMENT PROCESS
At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process.
This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.
Depending on where you are located, you may have certain rights available to you in relation to Braze’s use of AI:
- To opt out of AI-assisted review of your application, please click the “Learn More” at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application.
- To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a manual review of any decision made or to contest a decision, please contact us at talentdata.privacy@braze.com.
Please contact us at talentdata.privacy@braze.com with any questions. To find out more about our hiring process, check out this page.
Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)
Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review.
To opt out of AI-assisted review of your application, please click the “Learn More” button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at talentdata.privacy@braze.com promptly after applying. Summaries of the most recent bias audit results for such tools are available here.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.
How we rate this
Sales Operations Systems and Data Lead at Braze rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where sales operations was part of your work. What did you do?
- Tell me about a project where systems architecture was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Sales Operations, Systems Architecture, Data Governance, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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