Full-Time

Corporate FP&A Manager

Gong.io

Gong.io

1,001-5,000 employees

AI-driven revenue intelligence from conversations

Compensation Overview

$149k - $175k/yr

Salt Lake City, UT, USA + 4 more

More locations: San Francisco, CA, USA | Austin, TX, USA | Chicago, IL, USA | New York, NY, USA

In Person

On-site in Austin, Chicago, New York City, Salt Lake City, or San Francisco.

Bachelor's

Category
Finance & Banking (1)
Required Skills
NetSuite
Financial analysis
Salesforce
Investment Banking
Excel/Numbers/Sheets
Financial Modeling

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Requirements
  • Six or more years of experience in FP&A, strategic finance, investment banking, equity research, or strategy consulting, preferably at a high-tech or enterprise software company
  • Bachelor's degree in Finance or a related discipline
  • Deep expertise building scalable, bottoms-up financial models in Excel or Google Sheets, with a strong command of how model inputs and outputs connect to business outcomes
  • Demonstrated experience owning personnel and OPEX forecasting in a dynamic, high-growth environment
  • Familiarity with enterprise software metrics — churn, dollar retention, CAC, gross margin expansion — and the ability to connect cost structure decisions to revenue and unit economics
  • Experience with financial planning tools and ERP systems; Pigment, NetSuite, and Salesforce experience a plus
  • Highly organized and process-oriented, with the ability to manage multiple workstreams, meet deadlines, and maintain accuracy under pressure
  • Strong communicator who can translate detailed financial analysis into clear, concise narratives for senior stakeholders
  • Self-driven and detail-oriented, with an ownership mentality and the ability to operate effectively in a fast-paced, unstructured environment
  • Experience working in a startup or high-growth company, balancing strategic thinking with hands-on execution
Responsibilities
  • Own Gong's consolidated OPEX model, maintaining bottoms-up departmental forecasts that roll into the corporate P&L with accuracy and discipline
  • Build and continuously improve the company-wide personnel model, including headcount by department, hiring curve assumptions, attrition, and compensation and benefits — the single most important cost driver in the business
  • Drive the monthly BVA process for all OPEX lines, synthesizing inputs from FP&A business partners into a clear, well-supported corporate narrative
  • Lead scenario modeling and ad hoc financial analysis that informs how Gong allocates resources and makes strategic investment decisions
  • Partner with the Senior Corporate FP&A Manager to deliver consolidated financials and build the OPEX narrative for executive reporting, QBRs, and Board of Directors reviews
  • Support the quarterly forecasting process and annual planning cycle, ensuring OPEX forecasts reflect current business realities and are grounded in sound methodology
  • Track and improve forecast accuracy over time — identifying where and why OPEX forecasts miss and driving ongoing improvements to the process
  • Build and maintain OPEX planning templates and models in Pigment, partnering closely with the Corporate FP&A team to improve automation and reporting efficiency
  • Partner with Accounting to support the month-end close process and ensure financial data integrity across systems
Desired Qualifications
  • Pigment, NetSuite, and Salesforce experience a plus

Gong provides a revenue intelligence platform that uses AI to analyze every customer interaction for sales teams. It records, transcribes, and analyzes conversations across calls, video meetings, emails, and chats to surface data-driven insights about deals, sales tactics, and buyer and competitor trends. The platform offers Deal Intelligence, People Intelligence, and Market Intelligence, and it integrates with CRM systems and collaboration tools to highlight deal risks and coaching opportunities and suggest next steps. Its goal is to help revenue teams win more deals by turning conversations into actionable, data-driven strategies.

Company Size

1,001-5,000

Company Stage

Series E

Total Funding

$586M

Headquarters

San Francisco, California

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • ARR topped $500 million on May 12, 2026, with 55% year-over-year growth.
  • Boomi integration, announced May 14, 2026, expands Gong into enterprise automation workflows.
  • Custom Agents and Gong Enable deepen usage, increasing expansion revenue and customer lock-in.

What critics are saying

  • Microsoft can commoditize Gong’s workflows inside Copilot and Dynamics by 2027.
  • Call recording and transcription create consent, privacy, and employment-law exposure across jurisdictions.
  • Revenue AI budgets face consolidation pressure; point-solution sales tools lose renewals to platform suites.

What makes Gong.io unique

  • Gong owns proprietary revenue graph data from 5,000-plus customer interactions daily.
  • Mission Big Dipper, launched June 2026, adds governed revenue agents and coaching.
  • Microsoft Marketplace availability and MCP support embed Gong inside Teams, Outlook, Copilot.

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Benefits

Mental health support resources

Weekly wellness events

Work from home stipend

Generous vacation days

Quarterly recharge company shutdowns

Parental leave

Employee equity

Retirement savings & financial coaches

Commuter & parking benefits

Training & learning programs

Monthly lunch & learns

Mentor & buddy programs

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Gainsight
Jul 7th, 2026
Gainsight builds the team to win in ai-native services for customer retention with three executive appointments.

Gainsight builds the team to win in ai-native services for customer retention with three executive appointments. by Gainsight July 7, 2026 Former Dropbox, Gong, ServiceSource, Teradata and Conversica executives bolster enterprise-grade trust as company scales AI-native operations. SAN FRANCISCO, CA - July 7, 2026 - Gainsight, the retention-as-a-service (RaaS) company, today announced three executive appointments, as the company strengthens its commitment to security, trust and AI-native operations at enterprise scale: Grant Clarke as Executive Vice President (EVP) and General Manager (GM) of Atlas; Jack Leidecker as Executive Vice President (EVP) and Chief Security Officer (CSO); and Vijay Jegan as Chief AI & Transformation Officer (CAITO). Clarke will lead the Atlas business unit, building the go-to-market and operations engine needed to scale delivery of AI-native services (AINS); Leidecker will lead the security and compliance program required to support that level of customer trust; and Jegan will lead the company's internal agentic transformation, modernizing the systems and data infrastructure that power the company's own operations. Together, the hires signal Gainsight's commitment to operating as an AI-native, security-first organization that customers trust with their retention and revenue outcomes. "When you tell customers you'll own their outcomes, trust has to be earned in three places all at once: how we protect their data, how intelligently we run our own operations and how well we execute at scale," said Chuck Ganapathi, CEO of Gainsight. "Jack brings the security rigor customers can trust without question, Vijay makes sure we are running our own business with the same AI-native approach we are asking customers to adopt and Grant is building the engine and scaling the model for Atlas AINS. Bringing them on now is a statement about how seriously we take this next chapter and the new kind of company we are becoming." Grant Clarke, EVP & GM, Atlas Grant Clarke joins Gainsight as EVP & GM of Atlas, the company's AINS business that manages renewal motions end-to-end through a combination of AI agents and human oversight. AI agents handle personalization and execution across thousands of accounts, from outreach and follow-ups to contract negotiation. Humans simultaneously provide judgment and intervention at critical moments, with all engagements flowing through the Gainsight platform under outcome-based contracts. Clarke joins from Dropbox, where he served as Head of GTM Operations, leading revenue operations focused on re-engineering customer motions while bringing AI products to market. He brings over 25 years of experience in customer success, retention and revenue operations, including 16 years at ServiceSource (now Concentrix), the leader in outsourced managed services for sales, retention and customer success. "Enterprise companies have tried to solve and scale across long-tail customers with legacy approaches - approaches, like traditional BPOs, that ultimately fail in sustainable value creation because the focus is on cost-cutting and labor arbitrage, which erodes over time," said Clarke. "Atlas changes the equation: combining AI-native execution with Gainsight's deep customer retention expertise to own renewal outcomes at scale. I've spent my career pushing the old playbook as far as it could go and it's an incredible opportunity to architect the new playbook for customer outcomes now that Atlas removes the constraints we were previously working against." Clarke will work closely with Prem Parameswaran, Gainsight's Chief Technology Officer (CTO), who will continue to lead product innovation and technical development. Jack Leidecker, EVP & CSO Jack Leidecker joins Gainsight to lead its global security, privacy, risk and compliance functions, overseeing the company's Information Security organization. Prior to Gainsight, Leidecker served as CISO at Gong and held security leadership roles at Teradata and Digital Realty. This appointment builds on Gainsight's continued investment in its security program. The rapid advancement of frontier AI models continues to reshape the threat landscape, introducing new attack vectors and raising the stakes for enterprise data protection. In this role, Leidecker will lead the company's cybersecurity strategy, embedding security across the organization to ensure security keeps pace with innovation, safeguarding product development, customer trust and continued business growth. "Gainsight has built a strong security foundation and my job is to take it to the next level," said Leidecker. "As agentic AI takes on more of the work, the stakes go up: you're not just protecting data, you're protecting outcomes. I'm here to make sure our customers can delegate that responsibility to us with complete confidence." Vijay Jegan, CAITO Vijay Jegan joins as CAITO to lead the company's internal technology strategy and agentic transformation efforts. Jegan was most recently CTO at Conversica, where he led the modernization of the company's AI platform and drove meaningful operational improvements through applied AI. Before that, he served as CTO at Tact.ai, where he helped build and scale an AI-powered customer engagement platform. "Gainsight is doing something most enterprise software companies won't: putting their business model on the line by owning the outcome," said Jegan. "That only works if we're running as an AI-native operation internally, not just delivering it for customers. We have 15 years of institutional knowledge about what drives retention, and my job is to make sure we're turning that into an internal AI advantage, so everything we learn compounds into better outcomes for the customers we serve." Clarke, Leidecker and Jegan's appointments follow recent executive hires, reflecting a deliberate effort to build the leadership team that the next chapter of Gainsight requires - one where security, trust and AI transformation are as central to the company's competitive position as product and go-to-market. About Gainsight Gainsight is the retention engine behind the world's most customer-centric companies. The Gainsight platform orchestrates the customer journey from onboarding to outcomes. More than 2,000 companies trust Gainsight's applications and AI agents to drive learning, adoption, community connection and success for their customers. Learn more at www.gainsight.com. Media Contact

PR Newswire
Jul 1st, 2026
Gong partners with Microsoft to embed revenue AI into enterprise workflows via Azure Marketplace

Gong, a revenue AI company, is now available in Microsoft Marketplace and has deepened its collaboration with Microsoft to embed AI-powered customer insights into enterprise workflows. The partnership enables organisations to purchase Gong using Azure Consumption Commitments whilst integrating its Revenue Graph across Microsoft tools. The collaboration supports Model Context Protocol, allowing Microsoft 365 Copilot to access Gong's revenue AI and agents for contextualised recommendations based on customer data. Gong's insights integrate across Copilot, Microsoft Teams, Outlook, Dynamics 365 and Microsoft Copilot Studio, automatically capturing and structuring customer interactions with AI-generated summaries. The platform serves over 5,000 companies globally. MCP support is now live, with full marketplace availability announced.

Enterprise Times
Jun 25th, 2026
Gong launches Mission Big Dipper to enhance revenue opportunities.

Gong launches Mission Big Dipper to enhance revenue opportunities. June 25, 2026 Gong, a San Francisco-based revenue AI company, has launched Mission Big Dipper, its latest product initiative. The release adds a new agentic execution layer and expanded capabilities to the Gong Revenue AI Operating System (AI OS). Gong says the initiative addresses a common challenge in early enterprise AI deployments: generic tools that fail in production because they lack revenue context, governance, and human-in-the-loop control. With Mission Big Dipper, Gong is introducing the Gong Revenue Harness. The new layer builds on Gong's investments in Agent Studio and Model Context Protocol (MCP) support. It governs, orchestrates, and connects AI agents across the full revenue cycle. Its newest capability, Custom Agents, enables RevOps leaders and sales managers to build and deploy governed AI agents without engineering support. The launch also expands Gong Assistant across unified operating surfaces and adds new Gong Enable capabilities that turn occasional sales coaching into continuous, AI-driven rep readiness. "Every revenue leader has AI. Almost none of them are moving the number with it," said Eilon Reshef, Chief Product Officer and Co-Founder at Gong. "The Gong Revenue Harness gives agents the context to reason over real customer conversations, the permission models revenue teams require, and blueprints reverse-engineered from your actual wins. Agents continuously monitor every deal, route the right work to the right person, and feed outcomes back so every cycle makes the system smarter. This is what it means to operationalise AI for revenue outcomes." Delivering revenue outcomes at enterprise scale. Gong suggests revenue teams understand what drives wins. However, critical tasks such as account research, stalled-deal analysis, and renewal preparation often happen inconsistently. CRM-native tools can miss the conversational signals that influence revenue, while DIY agent builders often lack the governance enterprises require. Custom Agents solve this by allowing any stakeholder to describe a workflow in natural language inside Gong. (e.g., monitoring accounts over $100K for specific risk signals and alerting the AE before Monday morning). As these agents run on the Gong Revenue Harness, they operate with strict enterprise control, scoped data access, a full audit trail, and configurable human oversight. Every agent inherits the security permissions already in place across Gong today, ensuring safe, autonomous execution. Revenue AI always by your side. AI shouldn't just run in the background, it needs to assist reps in the moment. Mission Big Dipper expands Gong Assistant to bring conversational AI directly into the flow of daily work: * AI Builder in Gong Assistant: Teams can move from insight to action in a single conversation. Reps can ask what is driving a specific renewal risk. The solution immediately generates a board-ready readout or objection-handling guide without losing context or switching tools. * Gong Assistant in Account Console: Brings conversational AI directly into the account context. As a result, account teams can prepare for meetings, investigate issues, align on upsell strategy, and generate outputs without leaving the flow of work. * Gong Assistant in a standalone workspace: Gives revenue teams a dedicated home for analysis and building outputs. The workspace introduces new ways to focus the assistant with filters to zero in on a segment, team, or motion. AI-Powered rep readiness and coaching. AI agents can manage the busywork between meetings, but revenue growth still hinges on the human interaction itself. Gong Enable introduces three new capabilities to close the gap between preparation and performance: * Dry Run: Reps can launch realistic role-play rehearsals directly from an upcoming calendar invite. Gong automatically replicates the customer persona using real account context and conversation history, so the practice mirrors the actual call. * AI Coach: Delivers a personalised, interactive conversation immediately after every AI Trainer session. This gives reps concrete guidance before their next client attempt without waiting for a manager. * AI Builder for Scorecards: Enablement teams can automatically generate complete, coaching-ready scorecards based on the exact criteria found in their top-performing closed-won calls. This eliminates hours of manual evaluation design. Earlier in the year, Gong launched Mission Andromeda - a release that added a new product to its portfolio: Gong Enable. Gong Enable is an AI-powered sales-readiness solution that helps organisations transform, develop, and scale their revenue teams. The release also included new AI-powered features such as conversational guidance, unified account management, and secure AI interoperability. Enterprise Times: What does this mean for businesses. Gong's launch continues the trends among technology players of moving AI from a passive analytics tool to embedding it directly into revenue execution. Eilon Reshef, Chief Product Officer & Co-Founder at Gong, correctly says 'the problem isn't AI capability. It's that AI is only as reliable as the operating system running it. The context it operates on, the execution layer governing how AI agents act, and the surfaces where revenue teams do their work.' This release is designed to help teams move from insight to action by connecting customer conversations, deal signals, workflows and governance. All of this is achieved in one operating layer. If it delivers as promised, enterprises could use it to standardise high-value activities such as renewal preparation, account research and stalled-deal reviews. This could reduce the inconsistency that often limits sales productivity. The more important implication is that Gong is trying to make enterprise AI more effective and practical for revenue teams. Custom Agents, Gong Assistant and Gong Enable give sales, RevOps and enablement leaders more ways to automate routine work. In addition to supporting reps in the moment and reinforcing consistent coaching without relying on engineering teams. However, businesses will still need to assess how well these agents fit their processes. How much oversight they require and whether the promised productivity gains translate into measurable revenue outcomes. This requires clean company data and business processes mapping to ensure AI agents have the context to make effective decisions.

PR Newswire
Jun 24th, 2026
Gong unveils Revenue Harness to deploy custom AI agents across sales workflows

Gong has launched Mission Big Dipper, introducing the Gong Revenue Harness, an agentic execution layer that governs and orchestrates AI agents across the revenue cycle. The platform enables RevOps leaders and sales managers to build and deploy custom AI agents without engineering support. The new capabilities include expanded Gong Assistant features across unified operating surfaces and enhanced Gong Enable tools for AI-driven sales coaching. Custom Agents allow teams to describe workflows in natural language, with agents operating under strict enterprise controls and security permissions. New features include AI Builder in Gong Assistant, Gong Assistant in Account Console, Dry Run for role-play rehearsals, AI Coach for personalised guidance, and AI Builder for Scorecards. Custom Agents are generally available this month, with additional capabilities rolling out through July 2026. Gong serves over 5,000 companies worldwide.

SQ Magazine
Jun 23rd, 2026
LastPass warns of data exposure in Klue supply chain hack.

LastPass warns of data exposure in Klue supply chain hack. Published on: June 23, 2026 Sofia Ramirez Barry Elad As Featured In LastPass has disclosed that customer contact and CRM data were exposed after attackers abused stolen OAuth tokens in a supply chain attack targeting third party intelligence platform Klue. Quick summary - TLDR: * LastPass confirmed unauthorized access to customer CRM data stored in its Salesforce environment. * Attackers allegedly stole OAuth tokens from Klue and used them to access customer records. * Customer vaults, master passwords, products, and infrastructure were not affected. * The incident has been linked to the Icarus extortion group, which has reportedly targeted multiple Klue customers. What happened? LastPass has confirmed that attackers gained access to customer information after compromising Klue, a market intelligence platform used by the company's Go To Market teams. The attackers allegedly obtained OAuth tokens managed by Klue and used them to access data stored in Salesforce environments belonging to multiple organizations, including LastPass. The company says its investigation found no evidence that customer vaults, encrypted data, products, services, or infrastructure were compromised during the incident. Attackers used stolen OAuth tokens to access Salesforce data. According to LastPass, it was notified about the Klue security incident on June 12, 2026. Klue integrates with both Salesforce and Gong, allowing organizations to manage sales intelligence and customer engagement data across platforms. The company said attackers obtained OAuth tokens that Klue maintained on behalf of customers. By using these credentials, the threat actors were able to authenticate as a legitimate integration and access customer data stored within Salesforce environments. This type of attack highlights a growing cybersecurity concern where attackers target trusted third party providers to gain access to downstream customers. Instead of attacking an organization directly, threat actors compromise a vendor and abuse existing integrations to bypass traditional security controls. What data was exposed? LastPass said the exposed information was limited to business contact and CRM records. The potentially exposed data includes: The company emphasized that customer vault contents, encrypted passwords, and master passwords were not exposed. LastPass also stated that its investigation found no evidence that attackers accessed data from its Gong environment, which can contain customer communications and call records. Researchers link incident to Icarus extortion campaign. Security researchers investigating the breach say the campaign appears to have affected multiple organizations that relied on Klue integrations. Researchers at ReliaQuest reported that attackers used compromised Klue integration accounts to generate OAuth tokens and harvest data through Salesforce APIs. The attackers allegedly used automated tools to enumerate Salesforce objects and perform large numbers of API requests to collect customer information. The campaign has been claimed by a threat group known as Icarus, which has reportedly published stolen data from several affected organizations on its leak site and sent extortion demands to victims. Huntress reported that attackers may have initially gained access to Klue's infrastructure through legacy credentials tied to an older integration project. Once inside, they allegedly deployed code designed to collect OAuth tokens from customer environments. Several well known organizations, including Recorded Future, Tanium, Jamf, Sprout Social, Gong, Insurity, and LastPass, have been identified as impacted by the broader Klue incident. Salesforce and LastPass respond. Salesforce previously confirmed that it disabled the Klue Battlecards application connection after detecting suspicious activity associated with the integration. The company stated that the issue originated within Klue's environment and was not the result of a vulnerability in Salesforce itself. LastPass has since taken several remediation steps, including: The company says remediation efforts have been completed and that affected systems have been secured. Customers urged to watch for phishing attempts. Although highly sensitive password vault data was not exposed, cybersecurity experts warn that stolen contact information can still be valuable to attackers. Threat actors may use customer names, email addresses, phone numbers, and support related information to craft convincing phishing emails, phone scams, or social engineering attacks. LastPass is advising customers to remain cautious when receiving unsolicited messages and reiterated that it will never ask users to share their master password. The company also highlighted suspicious domains and infrastructure associated with the campaign and encouraged customers to trust only communications received through official LastPass support channels. SQ Magazine takeaway. I think this incident is another reminder that even when a company secures its own infrastructure, risk can still come through trusted third party integrations. The most important takeaway is that LastPass vaults and master passwords remain secure, but the exposure of customer contact data creates opportunities for phishing and fraud. As organizations continue to connect more cloud services together, attacks targeting OAuth tokens and software integrations are becoming one of the biggest security challenges facing the industry. This article has been reviewed and fact-checked by Barry Elad. SQ Magazine follows strict Publishing Principles and a documented Fact-Check Policy to ensure accuracy, transparency, and editorial independence across all content. Add SQ Magazine as a Preferred Source on Google for updates! References. Sofia Ramirez. Senior Tech Writer Sofia Ramirez is a technology and cybersecurity writer at SQ Magazine. With a keen eye on emerging threats and innovations, she helps readers stay informed and secure in today's fast-changing tech landscape. Passionate about making cybersecurity accessible, Sofia blends research-driven analysis with straightforward explanations; so whether you're a tech professional or a curious reader, her work ensures you're always one step ahead in the digital world. Disclaimer: The content published on SQ Magazine is for informational and educational purposes only. Please verify details independently before making any important decisions based on its content.