Senior Product Manager, Elastic
Security Analytics, AI & Automation
$133.1-252.9k
Salary dependent on location + Stock program
Travel up to 40%
Software that searches and analyses data in real time
Be an early applicant
Software that searches and analyses data in real time
1001+ employees
Be an early applicant
$133.1-252.9k
Salary dependent on location + Stock program
Travel up to 40%
1001+ employees
Company mission
To build software to make data usable in real-time and at scale for search, logging, security, and analytics use cases.
Role
Who you are
- 5 years in a security-related technical product management, competitive analysis, or technical marketing role
- 3 years in a related product development or technical field role
- Passion for all things in the Generative AI space
- Excitement for search technologies
- Love for being an expert on a topic
- Attention to details and an ability to appreciate Gestalt principles
- Excellent interpersonal skills and practices (sharing is caring)
- BS/MS degree in engineering, computer science, or information security
What the job involves
- Elastic is searching for an outstanding Product Manager to join the Elastic Security product team with a specific focus on Generative AI applications for our security analytics solution
- As Senior Product Manager, Security Analytics - AI and Automation, you’ll report into the Director of Product Management
- As a member of the security product team, your responsibilities will include shaping the product strategy and roadmap for the Elastic Security solution, specifically focusing on improving analyst, detection engineer, and SOC manager workflows with Generative AI in the form of Elastic’s AI SOC Engine (EASE), and core features such as Attack Discovery, whilst representing Elastic Security in customer-facing activities as necessary
- Helping to define and deliver on the vision for EASE and its core features, such as Attack Discovery and Agent Builder
- Directly participating in customer visits, roadmap presentations, and other customer-facing activities related to the Elastic Security solution
- Collaborating with the Elastic search and platform teams to apply all of Elastic’s native capabilities in machine learning and vector search to support features such as Retrieval-Augmented Generation and Agent Builder
- Understanding target personas, studying user adoption and purchase patterns for Elastic products, and the value derived from them
- Clearly positioning Elastic's distinct advantages against similar security offerings, becoming an authority on competitors
- Contributing thought leadership around Generative AI security market trends and alternative solutions
- Developing, curating, and presenting compelling content for releases, executive briefings, blogs, and internal enablement
- Balance user requirements for functionality, analyst outcomes, performance, reliability, and a delightful solution experience
- Effectively interact with and lead the work of product managers, security researchers, engineers, data scientists, software developers, and senior managers
- Understand both technical specifications and user outcomes when analyzing a product
- Apply technical troubleshooting skills to a wide range of situations
- Agentic and Generative AI, Large Language and transformer models as well as vector databases
- Legacy SIEM and newer Security Analytics platforms, and the current vendor landscape
- Cloud Infrastructure from major providers including AWS, GCP, and Azure
- System Engineering and data flow analysis
- IT Security operational practices, technology trends, and current cyber threat landscape
- Developing software in an open source environment
- Travel up to 40% supporting Elastic's global customer base is expected
Our take
Elastic develops the Elastic Stack, an open-source set of tools that includes Elasticsearch, Kibana, Beats, and Logstash, designed for data search and analysis. It also offers X-Pack, which adds commercial features to the Elastic Stack, and Elastic Cloud, a suite of SaaS (Software-as-a-Service) products.
This technology is widely used by major companies like eBay, Wikipedia, Yelp, Uber, Lyft, Tinder, and Netflix, along with over 17,000 other organizations. It is applied in various use cases, including application and website search, enterprise search, logging, infrastructure monitoring, application performance management (APM), security analytics (enhancing SIEM applications), and business analytics.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations
- Craft your calendar: Flexible location and schedule for most roles
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent)
Company HQ
Union Square, San Francisco, CA
Leadership
Shay Banon
(Co-Founder & CTO)Previously held the position of Technology Director at GigaSpaces Technologies.
Simon Willnauer
(Co-Founder)Previously spent 13 years at The Apache Software Foundation, holding various positions such as VP Apache Lucene and Lucene Core Commiter and PMC Member.
Uri Boness
(Co-Founder)Previously worked as a Software Architect and Head of Search at Orange11 for 7 years.
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