We’re looking for a Technical Program Manager who excels at driving execution for AI-driven SaaS products. This is a unique yet exciting opportunity to join and contribute to Abnormal's Research & Development Operating System. The creation of a predictable, reliable, and standardized R&D process is crucial for Abnormal's future strategy and success. To continue thriving in business, Abnormal is developing several new products and features that use AI technologies. Technical Program Managers will provide a consistent framework and execution fabric as the foundation for delivering these products.
In this role, you’ll partner closely with the Platform Infrastructure team(s) to architect, define, and execute systems that ensure programs run predictably, efficiently, and with high visibility.
The ideal profile thrives in an entrepreneurial environment, handling competing priorities and ambiguity with confidence. You have a growth mindset and are a quick and keen learner.
In this job, you will bring these skills- Project / Program Management & Organization: Excellent project manager with delivering large, cross-functional, complex projects. Able to take complex technical requirements and translate them into program plans.
- Exceptional communicator: Able to effectively collaborate with both technical and non-technical stakeholders in both written and verbal form.
- Works well in ambiguity: Ability to be a kickstarter, especially in this initial engine-building phase.
- Ownership: Goal-oriented with an ownership mentality. Ability to self-organize, pull in resources with clear expectations, and drive successful outcomes
- Continuous improvement: Committed to personal and professional growth, with a constant desire to improve, create value, and make your team better. Growth mindset and grit will be key traits to success.
- Technical Capabilities: Leverage a technical background to support engineering in technical design and gain credibility.
- Translate complex technical requirements from Product Engineering, Platform and Infrastructure Engineering, ML Engineering, and other critical stakeholders into program plans with clearly defined milestones, owners, and deadlines
- Drive programs and manage project schedules by determining dependencies across project teams, proactively addressing risks, and reporting progress to stakeholders to ensure on-time delivery of program deliverables
- Participate in technical strategy development and resource planning with engineering and product partners
- Build strong relationships with key stakeholders to drive alignment and progress toward shared goals
- Design, establish, and iterate on best practices and repeatable processes for operational excellence, including incident management and leading post-mortem's
- 2-4 years of professional experience in Technical Program
- 2-4 years of experience supporting software engineering teams, specifically platform and infrastructure teams
- A Bachelor's degree in Engineering or a closely related discipline
- Experience with product lifecycle management and product operations best practices
- Experience working with SaaS products like Jira and an understanding of SQL
- Experience working in iterative, fast-paced weekly release environments, leveraging agile and scrum processes for planning, execution, and delivery."
- Capable of translating and communicating highly technical requirements in a pragmatic way that focuses on customer or business-impact
- Curiosity for AI-first security products and a desire to influence how they reach customers successfully.
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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.
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
- 1-3 years of professional experience in Technical Program or Project Management
- 1-3 years of experience supporting software engineering teams
- A Bachelor's degree in Engineering or a closely related discipline
- Experience with product lifecycle management and product operations best practices
- Experience working with SaaS products like Jira and an understanding of SQL
- Experience in iterative, fast-paced release environments with agile and scrum processes
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.
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