Senior Product Manager - Applied ML and Insider Threat
Remote
GitLab
From planning to production, bring teams together in one application. Ship secure code more efficiently to deliver value faster.We're looking for a Senior Product Manager that can help us work on the future of DevOps and ML/AI. This product manager will play a key role in defining our ML/AI product strategy including the cross-section between MLOps, DataOps, and integrating ML/AI into our single platform for the entire DevSecOps lifecycle. There are a million things we can and want to do with ML/AI and it will be this role’s responsibility to define where we focus our efforts today, tomorrow, and in the future.
With our recent acquisition of UnReview, we have launched our Applied Machine Learning team which will bring workflow automation, powered by machine learning, to identify the correct code reviewer. However, this is just the beginning of what we have planned. This role will take an active role in defining our plans for other applications of ML/AI including our Insider Threat prevention in partnership with our Trust & Safety team helping secure our SaaS platform as well as helping users secure their self-managed deployments. This role will work closely with all Product teams helping these teams achieve their ML/AI goals.
We believe organizations deserve an intuitive, single application that covers the entire DevSecOps lifecycle. We believe running tests is just the beginning of automation. We believe deploying and monitoring your code and ML models should be automated and repeatable, and most of all, easy. We believe in pushing the boundaries of best-practices, and bringing these to every organization, so that doing the right thing is also the easy, default way of working.
We work in quite a unique way at GitLab, where lots of flexibility and independence is mixed with a high paced, pragmatic way of working. And everything we do is in the open. We recommend looking at our company page and the product handbook to get started.
Responsibilities
As the Senior Product Manager for Applied Machine Learning, you will be responsible for defining product strategy for ML/AI within the GitLab platform. You will collaborate closely with Product Managers across the entire product portfolio and enable them to achieve their ML/AI goals. This role reports to the Senior Director, Product Management - Dev & Sec.
- Drive the product in the right direction by building an effective roadmap to prioritize important features properly
- Take high-level feature proposals and customer problems and break them into small iterations that engineering can work on
- Balance new features, improvements, and bug fixes to ensure a high velocity and a stable product
- Consider the business impact, ROI, and other implications when taking important decisions
- Make sound decisions for your Group and Stage, building trust, and driving clarity across all teams at GitLab and the community
- Mastery of the competitive and market landscape of their product domain and understanding how this landscape impacts their own product roadmap
- Conduct advanced ROI analysis on investment cases to determine if GitLab should pursue them
- Communicate and evangelize your product vision internally and among the wider community
- Represents GitLab as a product and domain expert in front of Industry Analysts, customer visits, industry events/conferences, and other events.
- Contribute to documentation, blog posts, demos, and marketing materials for product features
- Collaborate with other Product Managers, UX, and engineers in cross-area features to build a single application
- Assist Sales, Support, Customer Success, and Marketing as the subject-matter expert for your area
- Talk to customers and engage with the community regularly
- Ability to present to C-level executives both internally at GitLab and externally to customers and prospects
Requirements
- 5+ years product management experience
- Experience hiring teams in high growth companies
- Experience with ML/AI solutions including MLOps, DataOps, and applying machine learning techniques within enterprise software
- Ability to think like a CEO to drive success of your product area
- Fantastic problem solving skills and attention to detail
- Excellent written and oral communication skills
- Experience with DevOps tools including version control (SCM), continuous integration (CI), and continuous delivery (CD)
- Strong understanding of Git and Git workflows
- Passion for design and usability
- Highly independent and pragmatic
- Excellent proficiency in English
- Experience working with remote teams.
- You share our values, and work in accordance with those values
- Bonus points: experience with GitLab
- Bonus points: experience in working with open source projects
Additional requirements are outlined in the Product Management Career Development Framework
Hiring Process
Candidates for this position can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. To learn more about someone who may be conducting the interview, find their job title on our team page. Additional details about our process can be found on our hiring page.
- 25 minute interview with a member of Recruiting
- 50 minute interview with the Hiring Manager
- 50 minute deep dive with a Product Manager
- 50 minute interview with the Director of Engineering for the ModelOps stage
- 50 minute interview with the VP, Product Management
- Candidates may be asked to meet with additional team members at the Hiring Manager's discretion
Country Hiring Guidelines
Please visit our Country Hiring Guidelines page to see where we can hire.
Your Privacy
For information about our privacy practices in the recruitment process, please visit our Recruitment Privacy Policy page.
Tags: Automation C DevOps DevSecOps Machine Learning Monitoring Open Source Privacy SaaS Strategy
Perks/benefits: Career development Conferences Startup environment Team events
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