Senior Manager of Lead Management Operations, Elastic
$106.9-202.7k
Salary dependent on location. Plus this role is currently eligible to participate in Elastic's stock program
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
$106.9-202.7k
Salary dependent on location. Plus 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
- 7+ years of experience in Marketing or Sales Operations, with at least 2+ years in a team lead or managerial capacity
- Deep understanding of marketing technology stacks and operational systems, with hands-on, admin-level experience in Marketo and Salesforce
- Proven track record in designing, optimizing, and implementing technical processes that enhance lead management, campaign execution, and data integrity
- Strong background in cross-functional leadership, guiding teams through complex, multi-stakeholder projects
- Dedication to thoroughness and effective execution, with a strong ability to take accountability for outcomes
- Strong interpersonal and communication skills with the ability to adjust the level of detail depending on the audience
- Data-driven decision-making, including using available data or establishing new processes to gather necessary information for informed decisions
- Undergraduate degree or equivalent experience in marketing, computer science, or related field
- Comfortable working on a fully distributed team
What the job involves
- Process Optimization and Engineering is a pivotal division within Marketing Operations, dedicated to redefining how Elastic scales its marketing systems, data, and processes
- The team focuses on intelligent, strategic, and scalable solutions that drive continuous advancement and operational excellence across global go-to-market teams
- As the Manager of Process Optimization & Engineering, you will lead cross-functional initiatives that improve lead management, campaign operations, and marketing automation
- You’ll own the strategy and execution framework that powers Elastic’s marketing engine — driving alignment between Marketing, Sales, and IT while enabling your team to deliver efficient, measurable, and future-ready systems
- Lead cross-functional collaboration across Marketing, Sales, and IT to define, prioritize, and implement scalable process improvements
- Oversee analysis and optimization of lead and campaign metrics to improve data accuracy and system performance
- Translate business objectives into actionable technical strategies, guiding teams in user stories, process design, and execution
- Maintain clear system documentation, including process diagrams and workflows, to ensure transparency, consistency, and scalability
- Establish standardized frameworks for gathering requirements, documenting processes, and managing change across Marketing Operations
- Strengthen communication and alignment through project updates, enablement materials, and collaboration tools across global teams
- Mentor and develop team members, fostering accountability, professional growth, and a culture of continuous innovation
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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