Senior Product Manager, Elastic
Logs - Observability
$133.1-252.9k
Actual salary range is dependent on location. This role is currently eligible to participate in Elastic's stock program
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
$133.1-252.9k
Actual salary range is dependent on location. This role is currently eligible to participate in Elastic's stock program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Ideally 3+ years in product management or closely related area
- Technical experience in logs analytics
- Observability and/or performance monitoring domain knowledge
- Comfort working with and converting abstract problems into concrete, prioritized solutions, working from the customer backwards
- Outstanding spoken and written communication skills
- Passion for industry trends, competitive landscape
- Experience working in remote, globally distributed work environment is optional but desired
- Knowledge of AI is optional but desired
What the job involves
- We’re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on logs and logs analytics capabilities. With your knowledge and understanding of the Observability domain, you'll help ensure that we give our customers the best end to end full stack Observability experience for logs we collect from the applications and infrastructure we monitor. This role significantly impacts the success of our Observability product!
- Evolving our logs analytics capabilities, aligning at every step with organizational and company strategy
- Advancing and influencing the entire end-to-end lifecycle for logs collection, ingest, and management
- Building features that cater to the modern SRE. From integrating GenAI and Agentic workflows into the logging experience, automated SLO/SLI tracking from logs, intelligent alerting, correlating logs, metrics, and traces, and beyond
- Working closely across teams, collaborating with Engineering, UX, Design and other teams to bring top notch application monitoring experiences to our users
- Working with our Sales & Marketing teams on go-to-market, messaging, competitive analysis, enablement, and feature adoption
- Tracking user engagement and feedback to inform product and feature evolution
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
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
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
Share this job
View 78 more jobs at Elastic