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Elastic

Searches enterprise data and monitors systems

Manager – Salesforce Revenue Cloud

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • At least 10 years of IT experience, including at least 7 years of hands-on Salesforce development.
  • At least 3–4 years of people management experience leading, mentoring, and scaling Salesforce engineering or configuration teams across onshore and offshore environments.
  • At least 5 years of Salesforce CPQ and Revenue Cloud expertise, including Quote-to-Cash implementations, standard CPQ objects, Revenue Cloud data structures, Billing, Subscription Management, and Revenue Recognition.
  • A track record of migrating legacy CPQ architectures to Revenue Cloud, including data migration strategies and object model shifts.
  • Experience with two-week Scrum cadences, clear acceptance criteria, and velocity management.
  • Problem-solving, leadership, and communication skills.

Responsibilities

  • Lead the migration from Salesforce CPQ to Revenue Cloud and own the end-to-end Quote-to-Cash capability, ensuring quoting, pricing, contracting, ordering, and billing processes operate optimally and scale with business growth.
  • Define and govern solution blueprints, integration patterns, and engineering standards across Salesforce CPQ, Revenue Cloud, Billing, and Subscription Management.
  • Lead Salesforce development across design, coding, testing, deployment, and support.
  • Design and develop scalable solutions using Lightning Web Components and Aura; develop, test, and optimize Apex classes, triggers, batch jobs, and schedulable jobs.
  • Conduct code reviews of engineering deliverables, including pull requests, Apex, Lightning Web Components, and Salesforce Object Query Language, to ensure quality, maintainability, minimal custom-code debt, and adherence to Salesforce security best practices.
  • Guide data modeling strategies and integrate Salesforce with ERP systems, MuleSoft middleware, payment gateways, and third-party financial applications via REST/SOAP APIs and other integration tools.
  • Define and enforce best practices for Salesforce development, security, and data management.
  • Conduct technical discovery and build light proof-of-concepts to validate solution designs before committing user stories to sprint development.
  • Stay current on Salesforce releases and emerging technologies and recommend improvements.
  • Own end-to-end engineering delivery for the Quote-to-Cash team, running two-week Agile sprints with strict Definition-of-Ready criteria.
  • Manage capacity, velocity, and delivery roadmaps for direct-report Salesforce administrators and engineers across the United States and India, balancing maintenance with strategic migration milestones.
  • Mentor junior developers and raise the team's engineering standards.
  • Protect sprint commitments against mid-sprint scope creep through stakeholder negotiation, and manage external partners when engaged.
  • Eliminate internal process complexity and lead technical discovery workshops aligned to revenue recognition and subscription lifecycle requirements.
  • Partner with Sales Operations, Finance, Billing, Legal, architects, and administrators to translate commercial policies and requirements into technical designs and executable engineering work.

Desired Qualifications

  • Salesforce platform experience in Sales Cloud and related integrations.
  • Experience working with Finance and Revenue Operations teams.

About the Company

Elastic

Searches enterprise data and monitors systems

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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