Full-Time

Order Management Analyst

OTC

Posted on 9/9/2026

LaunchDarkly

LaunchDarkly

501-1,000 employees

DevOps feature management and experimentation platform

No salary listed

India

In Person

Bachelor's

Category
Sales & Account Management (1)
Required Skills
NetSuite
Tableau
Salesforce
Excel/Numbers/Sheets

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Requirements
  • A Bachelor's degree in Business, Finance, Accounting, or a related field, or equivalent practical experience.
  • At least 4 years of experience in Order to Cash, Deal Desk, Sales Operations, Revenue Operations, or a related finance or systems role, ideally in a B2B SaaS environment.
  • Hands-on experience with Salesforce and Salesforce CPQ or other CPQ systems.
  • A working understanding of ASC 606 revenue recognition principles as they apply to SaaS and subscription contracts.
  • Strong attention to detail and comfort working with high volumes of orders, especially during month-end and quarter-end close.
  • Cross-functional communication skills and the ability to partner effectively with Sales, Customer Success, Deal Management, Finance, and IT or Systems teams.
  • An analytical mindset with strong Excel skills.
  • The ability to work independently, prioritize competing requests, and manage ambiguity in a fast-paced environment.
Responsibilities
  • Review opportunities in Salesforce for completeness and accuracy before downstream processing into NetSuite, including pricing, product and SKU alignment, contract terms, and required fields.
  • Review Annual Recurring Revenue on opportunities to confirm accuracy and alignment with contract terms and pricing before deals proceed through the order-to-cash cycle.
  • Create and monitor indirect sales orders through AWS Marketplace and work with AWS Support to resolve offer issues or errors.
  • Identify, troubleshoot, and resolve data discrepancies or missing information before orders progress through the order-to-cash cycle.
  • Serve as a quality checkpoint between deal closure and financial system entry to minimize rework and downstream billing errors.
  • Review and approve provisioning details to ensure customer setup aligns with executed agreement terms.
  • Partner with Sales, Customer Success, and Deal Management to confirm that order forms, amendments, approvals, contracts, and other required documentation are complete, accurate, and obtained before processing.
  • Act as an escalation point for missing or inconsistent deal documentation and coordinate resolution across stakeholders.
  • Work with the internal systems and IT team to keep Salesforce CPQ configurations, including pricing rules, product bundles, and approval workflows, accurate and up to date.
  • Support testing and validation of CPQ and Salesforce-to-NetSuite integration changes and flag issues that could affect order accuracy or revenue processing.
  • Contribute to continuous improvement of order-to-cash tools, workflows, and controls.
  • Apply a working understanding of ASC 606 principles when reviewing deal structures, contract terms, and provisioning to flag potential revenue recognition considerations.
  • Support Finance and Accounting during month-end and quarter-end close by ensuring orders and documentation are audit-ready.
  • Help maintain internal controls around deal review, approval, and order processing.
  • Act as a liaison between Sales, Customer Success, Deal Management, Finance, and Systems teams to keep the order-to-cash process moving efficiently.
  • Provide guidance and training to Sales and Customer Success on Salesforce, CPQ, and documentation requirements.
  • Report on order accuracy, cycle times, and recurring issues, and recommend process improvements.
Desired Qualifications
  • Experience with NetSuite and AWS Marketplace.
  • Experience with reporting or dashboard tools such as Tableau.
  • Experience supporting Salesforce-to-NetSuite integrations or similar CRM-to-ERP data flows.
  • Familiarity with contract lifecycle management tools such as Ironclad or DocuSign CLM.
  • Prior experience contributing to systems testing, user acceptance testing, or process documentation for order management tools.

LaunchDarkly provides a feature management platform for developers in the DevOps space. It helps teams control and automate features in their software so they can ship code safely, run experiments themselves, deliver personalized experiences, and revert feature behavior without changing code. The platform typically runs as a subscription service that integrates into development workflows to reduce risk, speed up releases, and maximize the impact of each software feature. Its differentiation comes from a developer-first approach that emphasizes in-production feature flags, self-serve experimentation, and targeting options to improve reliability and productivity. Overall, LaunchDarkly aims to help customers innovate faster, automate and de-risk software releases, lower delivery costs, and boost the business impact of features.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$330.3M

Headquarters

Oakland, California

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • LaunchDarkly surpassed $200 million ARR on August 6, 2026, growing over 25%.
  • AgentControl launched May 19, 2026; AI pipeline nearly doubled afterward.
  • Andy Pemberton joined as CRO, strengthening enterprise sales execution across regions.

What critics are saying

  • Harness FME, Unleash, and GrowthBook attack LaunchDarkly with cheaper, open alternatives.
  • Highlight's shutdown forces customers into LaunchDarkly SaaS, fueling migration resistance and churn.
  • AgentControl ties valuation to AI-control hype; a weaker adoption cycle hits growth fast.

What makes LaunchDarkly unique

  • AgentControl turns LaunchDarkly into runtime control for code and AI agents.
  • It powers 50 trillion flag evaluations daily, proving enterprise-scale release governance.
  • Highlight observability fuses monitoring with guarded releases, tightening LaunchDarkly's control loop.

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Benefits

Flexible work environment - Making an inclusive space for everyone means recognizing we all have our own individual working styles and needs.

Health and wellness - LaunchDarkly offers full coverage with health, dental, and vision plans for you and your dependents.

Salary and options - We're all in this together. LaunchDarkly offers competitive pay, equity, and the option to participate in a 401(k) program.

Learn and grow - We love to see our own continue to grow their skill sets—whether that's taking a class or attending a conference.

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-2%
DevOps Chat
Sep 3rd, 2026
Automating the Experimentation Lifecycle with Kiro, AWS DevOps Agent, and LaunchDarkly.

Automating the Experimentation Lifecycle with Kiro, AWS DevOps Agent, and LaunchDarkly. Summary: This is a summary of an article originally published by AWS DevOps Blog. Read the full original article here In the evolving world of software development, automating the experimentation lifecycle is becoming crucial for organizations aiming for agility and efficiency. The integration of tools like Kiro, AWS DevOps Agent, and LaunchDarkly allows teams to streamline their processes and enhance their deployment strategies. This approach not only simplifies managing feature flags but also enables teams to run controlled experiments, gather insights, and make data-driven decisions. The collaboration between AWS and LaunchDarkly brings forth a powerful combination that supports continuous integration and continuous delivery (CI/CD) pipelines. By automating the rollout of new features, teams can minimize risks and validate hypotheses faster, resulting in quicker feedback loops and improved product quality. Furthermore, using the AWS DevOps Agent with Kiro allows for seamless integration into existing workflows, turning experimentation into a natural part of the development lifecycle. This integration emphasizes the importance of DevOps practices in today's fast-paced tech environment. By leveraging these tools, organizations can foster a culture of experimentation, where teams feel empowered to innovate while maintaining stability. As more companies adopt these strategies, the future of DevOps looks promising, with an emphasis on collaboration, automation, and continuous improvement.

The Manila Times
Aug 6th, 2026
LaunchDarkly surpasses $200 million in ARR as demand for runtime control accelerates.

LaunchDarkly surpasses $200 million in ARR as demand for runtime control accelerates. By GlobeNewswire August 6, 2026 Enterprises shift AI spending toward runtime control fueling 25% growth; OutSystems veteran joins to scale go-to-market OAKLAND, Calif., Aug. 06, 2026 (GLOBE NEWSWIRE) - LaunchDarkly, the runtime control platform for software and AI agents, today announced it has surpassed $200 million in annual recurring revenue (ARR), growing more than 25% year over year, as enterprises increasingly invest in runtime control for AI-powered software delivery. The company also appointed Andy Pemberton as chief revenue officer to scale its global go-to-market organization. The milestones reflect growing enterprise demand for runtime control as AI transforms software engineering. Today, most teams use AI to accelerate development. But some teams are going further, building AI-powered software factories where agents take on increasingly large portions of the software lifecycle. As that shift unfolds, the challenge moves from generating code to controlling autonomous systems in production. Teams that solve that control problem will move faster, and more safely, than those that don't. "When I co-founded LaunchDarkly, the core belief was simple: speed and control shouldn't be in tension. AI has made that more urgent than ever," said Edith Harbaugh, co-founder and CEO of LaunchDarkly. "Teams aren't just shipping code, they're building systems of agents that act and evolve in production around the clock. LaunchDarkly provides the runtime control layer that makes these factories safe." Since launching AgentControl in May 2026, LaunchDarkly has seen strong market demand. Built on the same infrastructure that powers more than 50 trillion flag evaluations daily, AgentControl enables teams to manage prompts, models, tools, and policies as runtime configurations and optimize AI behavior against live traffic all without a full deployment cycle. Since launch, AI-related pipeline has nearly doubled, with demand split evenly between new and existing customers. "You can review a change before it ships; you can't review an agent's next thousand decisions," said Jonathan Nolen, SVP of product at LaunchDarkly. "An agent doesn't misbehave in code review - it misbehaves in production, in front of your customers, so that's where control has to live. AgentControl puts it there: teams see what their agents are doing, and when something drifts they can correct it in seconds - no pull request, no redeploy, no waiting. That's what runtime control provides." Scaling go-to-market leadership to meet enterprise demand To better support development teams through this AI transformation, LaunchDarkly is bringing in Andy Pemberton as chief revenue officer. Pemberton spent nearly a decade at OutSystems, rising from presales leadership to chief customer officer and ultimately chief revenue officer, where he led the company's global revenue organization across the Americas, EMEA, and APJ as it scaled to over half a billion in revenue. At LaunchDarkly, Pemberton will lead the sales, solution engineering, professional services, partners and alliances, sales operations, and customer success teams as the company scales to meet enterprise demand. "Andy has done this before; he's helped customers navigate transformations at scale, and that's exactly what we need for what comes next," said Harbaugh. Pemberton joins as LaunchDarkly builds on growing enterprise demand for runtime control, expanding from feature management to helping organizations safely operate AI-powered software factories. As AI agents become a core part of software delivery, LaunchDarkly's runtime control is the operational layer that keeps autonomous development fast, measurable, and governed. About LaunchDarkly LaunchDarkly is the runtime control layer for the AI era of software development. As AI accelerates the volume and pace of change hitting production, LaunchDarkly gives development teams the infrastructure to move fast without losing control of what they're building - controlling code, controlling agents, and acting instantly when something goes wrong. LaunchDarkly is the foundation that lets teams embrace the velocity AI makes possible without fearing what they can't contain. Trusted by thousands of customers worldwide, including a quarter of the Fortune 500, LaunchDarkly is headquartered in Oakland, California. Learn more at launchdarkly.com. Media Contact: Spencer Anopol Head of PR [email protected]

SiliconANGLE Media
May 19th, 2026
LaunchDarkly launches runtime control layer for the agentic AI era.

LaunchDarkly launches runtime control layer for the agentic AI era. LaunchDarkly, a feature control platform that helps developers and software engineers launch and manage products, today announced the launch of AgentControl, a new solution providing real-time management of AI agents in production. As more agents get launched into production, companies are discovering that, unlike ordinary code, generative AI is probabilistic and doesn't always behave exactly as it did in testing. Although models can update and go through experiments, they might run into unexpected user interactions that change output quality without a single change to code. Once deployed, agents are given broad autonomous leeway, with less human oversight, primarily so they can get their job done. But that leaves them open to straying from their tasks as anomalies build up, and it can happen faster than teams can react. "The hardest problems in AI, like model drift, unpredictable outputs, and the inability to intervene fast enough, turn out to be exactly the problems our platform was built to solve," Chief Technology Officer Cameron Etezadi said. "We didn't have to reinvent the platform; we just had to extend it to meet the demands of an AI SDLC and agentic-driven workflows." LaunchDarkly said its platform is built to combine instantaneous runtime intervention with an operational layer that teams need to run AI agents reliably. It can assist with configuring agentic behavior across teams and frameworks, benchmark quality before changes reach live traffic, and provide progressive releases for guarded rollouts. All of this can be done with closely monitored trace-level visibility, allowing teams to iterate based on what production data actually shows. That means information technology teams, software engineers and AI engineers, alongside business users building AI agents using no-code tools, can slow-roll agent maintenance all without the need for redeployment. LaunchDarkly says the kind of control needed to manage agents in production requires a certain kind of speed. Configuration changes propagate in under 200 milliseconds, fast enough to adjust the behavior of an agent, route to a different model, or trigger a fallback - all within the turn of a conversation, and before a customer even notices something went wrong. "As more AI-powered products and agentic capabilities reach production, runtime control becomes essential infrastructure alongside the development workflows and controls teams already trust," said Brian McCarthy, president of global revenue and field operations at Anysphere Inc., maker of the Cursor AI code editor. LaunchDarkly has a long history of building powerful control and management interfaces for software engineering teams. Its largest audience is development and operations, or DevOps, where adjusting the feature configuration for applications is part of the company's journey. AgentControl represents that earned expertise applied to the new era of agentic AI, providing companies with a powerful way to keep agents in check. As development teams continue to deploy more agents that write, deploy and interact at machine speed, the company argued that they also need a system that can react with the same alacrity. Image: siliconangle/microsoft designer. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

AI Transform
Oct 13th, 2025
LaunchDarkly revolutionises software management with AI-powered Vega

LaunchDarkly has unveiled Vega, an AI-powered diagnostic agent designed to pinpoint root causes and recommend solutions for software regressions at the moment of release.

CNBC
Jun 25th, 2025
Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz

Asana's new CEO, Dan Rogers, comes from software startup LaunchDarkly, where he was CEO.