As the Data Strategy and Operations Manager at Abnormal AI, you will own our go-to-market data quality strategy and serve as the steward of data across Salesforce and the systems around it. You will design the processes, controls, and intelligent workflows that keep data accurate, enriched, and trusted at scale, so Sales, Marketing, Customer Success, and Finance can give executive leadership reliable metrics. You will decide where AI agents and automation take over repetitive data work and where human judgment still matters, and partner with cross-functional teams to evaluate system changes that affect our data programs.
Who you are- Data obsessed and just as obsessed with removing manual work, with a habit of automating any process that relies on fixing records by hand
- Curious about AI and a daily user, with experience shipping workflows with LLMs, agents, or AI-assisted tooling, and able to tell a useful application from a demo
- Eager to build and shape a program rather than only maintain one, and able to create systems that hold up at global scale
- Highly analytical, able to see the big picture and spot trends and gaps, then zoom in with practical, specific recommendations
- Steady when juggling multiple priorities in a constantly changing environment
- A good teammate, dedicated to the mission, who likes to have fun along the way
- Set the data governance strategy, standards, ownership model, and source-of-truth hierarchy for GTM data across Salesforce and connected systems
- Establish policies, access controls, and field-level definitions, including record creation and deprecation rules, and monitor adherence
- Ensure compliance and security of our data, and flag risks to IT, security, and leadership
- Replace high-volume manual tasks (deduplication, enrichment, account matching, hierarchy mapping, routing, anomaly review) with automated and AI-assisted workflows
- Design and maintain AI agents and LLM-powered workflows that classify, enrich, validate, and remediate data, with guardrails, human review points, and accuracy measurement
- Build automated data quality monitoring that detects issues early, alerts the right owner, and fixes them without human intervention where appropriate
- Evaluate and select AI, enrichment, and automation tooling, run pilots, and measure impact through time saved, accuracy gains, and coverage
- Own the enrichment strategy and keep account firmographics accurate: hierarchies, employee count, location, industry, and Fortune ranking
- Act as the subject matter expert for Business Ops, Marketing Ops, Customer Success, and Finance, run a defined feedback intake process, and support consistent reporting and dashboards
- Manage a portfolio of data quality and automation projects with clear priorities, owners, and outcomes
- 5+ years in Sales Operations, Data Operations, or a similar analytical or systems role
- Hands-on experience building automation with AI or LLM tools (agents, prompt-driven workflows, AI-assisted enrichment), with shipped examples you can easily share
- Strong understanding of data lifecycle management, data modeling, master data management, and requirements gathering
- Demonstrated understanding of Salesforce automation, including Flow and validation rules, and experience working closely with admins
- Experience implementing and managing data and enrichment tools, including AI-native tools such as Clay, Kernel, Starbridge, and Onfire
- Proficiency in Excel
- Track record of leading data management projects from idea to result
- Sound judgment about where AI is reliable and where it needs controls for privacy, security, and accuracy
- Detail oriented, self-motivated, proactive, and quick to learn new tools
- Strong written and verbal communication skills, including explaining technical and AI concepts to non-technical partners
- Preferred: experience with workflow automation or integration platforms (such as Workato or Zapier), modern data stack tools (such as Snowflake or dbt), SQL, and a high-growth SaaS or security company
#LI-EM3
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Skills Required
- 5+ years in Sales Operations, Data Operations, or a similar analytical or systems role
- Hands-on experience building automation with AI or LLM tools, including agents, prompt-driven workflows, or AI-assisted enrichment, with shipped examples
- Strong understanding of data lifecycle management, data modeling, master data management, and requirements gathering
- Experience with Salesforce automation, including Flow and validation rules, and working closely with Salesforce administrators
- Experience implementing and managing data and enrichment tools, including Clay, Kernel, Starbridge, and Onfire
- Proficiency in Excel
- Track record of leading data management projects from idea to result
- Sound judgment regarding AI reliability and controls for privacy, security, and accuracy
- Detail orientation, self-motivation, proactivity, and ability to learn new tools quickly
- Strong written and verbal communication skills, including explaining technical and AI concepts to non-technical partners
- Experience with workflow automation or integration platforms such as Workato or Zapier
- Experience with modern data stack tools such as Snowflake or dbt
- SQL experience
- Experience in a high-growth SaaS or security company
Abnormal Security Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.
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Fair & Transparent Compensation — Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
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Healthcare Strength — Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
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Leave & Time Off Breadth — Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.
Abnormal Security Insights
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow. Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
