Program Manager, Elastic
Lead Management Operations
$89.1-168.9k
Salary dependent on location
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
$89.1-168.9k
Salary dependent on location
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 3+ years of related experience, ideal candidate will have Marketing and/or Sales Operations experience
- Deep knowledge and hands-on experience with marketing automation software (Marketo preferred)
- Salesforce experience (Salesforce admin preferred)
- Knowledge of marketing technology, demand generation, and lead management processes
- Experience implementing complicated technical projects
- Dedication to process and execution and willingness to hold yourself accountable
- Strong communication skills with the ability to adjust the level of detail depending on the audience
- Data-driven decision-making using data available or defining new processes to collect data needed to drive logical decisions
- Undergraduate degree or equivalent experience in marketing, computer science, or related field
- Comfortable working on a fully distributed team
- Prior experience in high-tech
What the job involves
- Elastic's Marketecture team thinks smart, strategic, and scalable, and will push you to do the same. In this role, you will be passionate about the strategy, development, execution, and operations of Elastic’s lead management processes. We’re looking for someone that’s technically curious, unafraid to challenge themselves, and has a keen interest in understanding our business and the customer journey
- Are you looking to be a pivotal part of an elite marketing team? Does automating processes, scaling technology, and solving business challenges sound like your jam? Do you love collaborating cross functionally and thinking globally? This could be the role for you
- Collaborate with sales, marketing, and technical teams to collect detailed business requirements and deliver automated, scalable solutions to optimize lead management processes
- Closely monitor and analyze key lead management metrics to drive operational efficiencies, ensure process reliability and performance, and make recommendations on areas for optimization and alignment
- Conduct requirements interviews to uncover underlying problems and prepare detailed recommendations for lead management process and system improvements
- Participate in the development of the data management strategy for marketing, including data compliance, enrichment, standardization, form management and alignment with other downstream systems
- Perform regular audits and maintain integrity of lead scoring, lead routing, and lifecycle processes between Marketo and Salesforce
- Prepare visual diagrams of system architecture, functionality, and process flows
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.
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