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Daloopa

Delivers auditable historical public-company data

GTM Strategy & Operations Lead

Full-TimePosted on 10/19/2026
No salary listed
Senior
New York, NY, USA
HybridIn-office at least three days per week (Tuesday, Wednesday, and Thursday).
Sales & Account ManagementSales Operations

About the job

Requirements
  • Five to seven years of relevant experience in GTM Strategy and Operations, Sales Strategy, Revenue Operations, management consulting, or another highly analytical commercial role.
  • Experience working closely with enterprise B2B Sales organizations, with a strong understanding of pipeline management, sales productivity, forecasting, and revenue performance.
  • Strong analytical and problem-solving capabilities, with demonstrated experience turning complex datasets into actionable business recommendations.
  • Experience building financial or operational models, including capacity planning, productivity analysis, territory design, segmentation, or revenue forecasting.
  • Strong working knowledge of Salesforce and experience with modern analytics, business intelligence, and reporting tools.
  • Comfort working with data across CRM, finance, and customer or product-usage systems.
  • Strong business judgment and the ability to distinguish meaningful commercial signals from noise.
  • Ability to influence Sales and Customer Success stakeholders without direct authority, translating analysis into changes in execution.
  • Ability to present complex findings clearly and concisely to senior leadership.
  • Comfort operating in a fast-paced, high-growth environment with evolving processes, priorities, and systems.
  • A high degree of ownership, intellectual curiosity, attention to detail, and willingness to challenge assumptions.
Responsibilities
  • Develop actionable insights into the performance of the Sales and Customer Success organizations, helping leadership understand what is working, where execution is falling short, and where intervention is needed.
  • Build and improve dashboards for the CRO, sales leadership, and frontline managers that provide visibility into pipeline, revenue attainment, sales productivity, conversion, and customer performance.
  • Analyze leading and lagging performance indicators across new-logo acquisition, strategic accounts, expansion, and renewals.
  • Identify trends in opportunity creation, pipeline coverage, sales velocity, stage conversion, deal size, and forecast accuracy.
  • Develop proactive reporting, automated alerts, and performance signals to identify risks and opportunities before they affect revenue outcomes.
  • Partner with Sales and Customer Success leaders to translate findings into concrete actions that improve execution and accountability.
  • Analyze sales performance by team, segment, product, use case, territory, and individual contributor to identify opportunities for improvement.
  • Evaluate funnel performance and conversion patterns, identifying bottlenecks in qualification, pipeline progression, and deal execution.
  • Develop win/loss analyses to understand the impact of competitive positioning, pricing, product fit, customer needs, and sales execution.
  • Combine CRM, customer engagement, and product-usage data to identify adoption trends, expansion opportunities, and churn risks.
  • Support the development and measurement of scalable sales and customer-success motions, including account planning, land-and-expand strategies, trial conversion, and renewal management.
  • Partner with Enablement and Sales leadership to identify best practices and measure the impact of changes to frontline behavior.
  • Develop and maintain bottoms-up capacity, ramp, productivity, and pipeline models to support quarterly and annual planning.
  • Analyze account and territory performance to identify coverage gaps, whitespace opportunities, and resource-allocation inefficiencies.
  • Support the development and ongoing refinement of ideal customer profiles, market segmentation, account scoring, and account prioritization models.
  • Evaluate performance across customer segments, including hedge funds, asset managers, investment banks, and other institutional financial-services firms.
  • Support quota-setting, territory assignment, and headcount planning through rigorous analysis and scenario modeling.
  • Measure the effectiveness of coverage strategies and recommend adjustments based on commercial performance and market opportunity.
  • Support weekly performance reviews, monthly business reviews, quarterly planning, and annual planning processes.
  • Prepare executive-ready analyses, business reviews, and recommendations for the CRO and Revenue leadership team.
  • Identify performance gaps, quantify potential impact, and work with functional leaders to develop actionable improvement plans.
  • Track the effectiveness of key GTM initiatives and provide visibility into progress, risks, and measurable outcomes.
  • Partner with RevOps, Finance, Marketing, Product, and Enablement to ensure commercial priorities translate into coordinated execution.
  • Evaluate operational bottlenecks across opportunity management, forecasting, account ownership, pipeline inspection, and customer lifecycle management.
  • Partner with RevOps systems and operations resources to improve Salesforce data quality, reporting consistency, and process adoption.
  • Identify opportunities to automate repetitive workflows, reduce administrative burden, and improve the quality and accessibility of commercial insights.
  • Help establish scalable reporting and performance-management practices that improve consistency across teams and geographies.
  • Measure the business impact of operational changes and continuously refine processes based on results.
Desired Qualifications
  • Experience at a high-growth B2B SaaS, financial data, AI, or enterprise technology company.
  • Experience supporting enterprise sales motions involving complex buying groups, long-term account development, and six-figure contracts.
  • Experience analyzing both new-logo acquisition and customer expansion or retention motions.
  • Experience combining product telemetry or usage data with commercial metrics to identify adoption, expansion, and churn opportunities.
  • Experience developing automated reporting, performance alerts, or AI-enabled analytical workflows.
  • Experience helping scale GTM processes and analytics during a period of rapid organizational or revenue growth.

About the company

Daloopa.ai provides comprehensive, auditable historical data on public companies for financial analysts and investors. It serves large shareholders and institutions, delivering high-quality data that can be easily integrated into existing financial models. The data is accessed via a subscription, and clients can request a demo before subscribing. The product works by compiling and organizing historical company information so analysts can quickly update their investment strategies and cover more companies each quarter. Daloopa differentiates itself through the reliability and auditable nature of its data, its focus on integration with standard financial models, and its adoption by many top shareholders of major public companies. The company's goal is to help investors make informed decisions faster by providing dependable historical data that supports robust investment analysis.

Company Size

501-1,000

Company Stage

Series C

Total Funding

$101.4M

Headquarters

New York City, New York

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • May 2026 Series C raised $47 million from Brighton Park, Squarepoint, Touring, and Nexus.
  • Management said Daloopa serves over 160 financial institutions and doubled revenue in 2026.
  • August and September 2026 launches broaden enterprise distribution across Microsoft, Google, and Excel workflows.

What critics are saying

  • Bloomberg, FactSet, AlphaSense, and Fiscal.ai compress Daloopa's pricing and distribution.
  • If customers distrust AI outputs, Scout stays a demo feature, not daily infrastructure.
  • Daloopa's existential risk is commoditization: public-company data becomes a free model input.

What makes Daloopa unique

  • September 2026 Scout builds Excel models from plain-language prompts using source-linked filings.
  • Daloopa covers 6,000 public companies, with every datapoint auditable back to originals.
  • Its MCP connectors embed verified data inside ChatGPT, Claude, Copilot, Gemini, and Rogo.

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Benefits

  • Hybrid Work Options
  • Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

8%

2 year growth

-5%
IT Digest
Sep 10th, 2026
Daloopa launches Scout AI assistant to automate financial modeling.

Daloopa launches Scout AI assistant to automate financial modeling. Daloopa, a provider of structured financial data and AI automation solutions for public equity professionals, has announced the general availability of Scout, an Excel-native AI assistant designed for financial modeling. Powered by Daloopa's verified, audit-ready data layer covering over 6,000 public companies globally, Scout allows buy-side and sell-side equity research analysts to generate financial models from scratch, update earnings metrics, and perform peer group comparisons directly within Microsoft Excel using plain-language prompts. To streamline daily investment workflows, the platform incorporates quick-start prompts, reusable custom Skills, user-defined formatting preferences, and saved conversation histories, eliminating manual data extraction from public filings while preserving full auditability through clickable, hyperlinked source references for every figure. Highlighting the productivity benefits for investment management teams, Thomas Li, CEO of Daloopa, stated: "Analysts should spend their time applying judgment, not on the manual, error-prone work of building and updating models. Scout brings us closer to that vision by combining AI with verified data directly in Excel, giving analysts greater speed without sacrificing the rigor their work demands." Ultimately, by embedding agentic AI and structured market data directly into established financial spreadsheets, Scout provides enterprise institutional investors and research firms with a secure, highly efficient solution to accelerate investment analysis, reduce operational friction, and enhance research throughput across equity research operations.

PR Newswire
Sep 9th, 2026
Daloopa launches Scout, AI assistant that builds financial models in Excel using plain-language prompts

Daloopa has launched Scout, an AI assistant that enables financial analysts to build and modify Excel models using natural language commands. The tool integrates with Daloopa's database of verified financial data covering over 6,000 companies globally. Scout allows analysts to create models from scratch, update them after earnings reports, and compare companies across industries through plain-language prompts. All figures generated are hyperlinked to their original sources, enabling audit trails without leaving the workflow. "Analysts should spend their time applying judgement, not on the manual, error-prone work of building and updating models," said Thomas Li, chief executive officer of Daloopa. The tool includes features such as quick-start prompts, customisable skills for frequently used commands, and default formatting preferences. Scout is now generally available to users.

Holland Mountain
Sep 4th, 2026
Weekly news - week of august 31, 2026.

Weekly news - week of august 31, 2026. AI continues to make its mark across the private markets technology landscape, with CB Insights, Kroll, Lighthouse and iConnections among the vendors rolling out new AI-powered capabilities. At the same time, PitchBook, FactSet and Preqin are expanding how their data connects into existing investment workflows. Beyond AI, Holland Mountain Group is also seeing continued movement across the PE tech ecosystem, from new products and integrations to M&A and strategic partnerships. New & updated products. Carta adds Free Advance Assurance to Carta Launch, letting UK founders prepare the HMRC application required by SEIS/EIS investors at no cost. CB Insights rolls out interactive, MCP-accessible AI apps, a waitlisted analyst-ratings product for private companies, and new proprietary leadership signals across its API and data feeds. Kroll launches APEX, built on the CrowdStrike Falcon platform, to help organisations quantify the cost and business value of AI, automation and hybrid technology investments. Lighthouse releases a Meeting Prep Agent that automatically builds a briefing for every calendar meeting from emails, LinkedIn conversations and past notes already held in the platform. iConnections introduces Envoy, an AI agent that identifies relevant investors, drafts outreach and prepares meetings for managers raising capital, with a waitlist now open. PitchBook debuts an interactive dashboard tracking earnings, AUM growth, fundraising, deployment and exits for the seven largest US-listed alternative asset managers. Vestberry updates its MCP integration to improve identification of fund KPIs and currencies and to keep AI-tool connections active for up to seven days. Deal activity. Altus Group completes the divestment of its Development Advisory business to Newmark, transferring around 335 professionals across North America and APAC into Newmark's Project Management platform. Nasdaq eVestment gains AI-powered due diligence and monitoring capabilities as parent company Nasdaq completes its acquisition of Dasseti, broadening coverage across public and private markets. Partnerships & integrations. FactSet partners with Google Cloud to become natively available inside Gemini Enterprise for Financial Services, letting users get FactSet-powered answers in plain language without leaving existing workflows. Leverest adds Altrium Financial Services to its third-party directory, letting deal managers and lenders request loan agency quotes and integrate debt administration services directly through the platform. Daloopa integrates with Hebbia via MCP, giving customers verified, source-linked financial data on 6,000+ public companies inside Hebbia's Max and Matrix interfaces. MSCI integrates its MSCI Connector into Google Cloud's Gemini Enterprise for Financial Services, bringing entitlement-controlled MSCI data directly into clients' AI-powered investment workflows. EcoVadis partners with CO2 AI to connect its supplier carbon network to CO2 AI's footprinting engine, aiming to replace spend-based estimates with supplier-specific primary data for Scope 3 reporting. Evalueserve is named an OpenAI Select Partner, building on its use of OpenAI models across enterprise workflows in credit, research, compliance and risk. Preqin collaborates with Rogo to integrate its private markets data and intelligence into Rogo's research and decision-making workflows. New clients. Anduin Transactions is selected by H.I.G. Capital to manage its investor experience. Office & personnel. Clearwater Analytics appoints John Spence as Senior Advisor, supporting insurance and asset management clients across Asia-Pacific; he was previously at Manulife, Macquarie Funds Group and Generali Asia. SimCorp welcomes Gareth Morris as Head of Portfolio Management and Trading and Kate Ryan as Head of Product Design, reinforcing its front-office capabilities for institutional investment managers. Did Holland Mountain Group forget something? Do you have vendor news to share? Holland Mountain Group want to know! Please reach out to Holland Mountain Group at [email protected] Thinking about your data and tech stack? Holland Mountain Group can help! Holland Mountain Group help LPs & GPs find the system, supplier or market data provider that is best-suited for their current and future needs. Get in touch with its team today. More PE stack news.

PR Newswire
Aug 25th, 2026
Daloopa accelerates AI transformation among public equity professionals with Gemini Enterprise for Financial Services.

Daloopa accelerates AI transformation among public equity professionals with Gemini Enterprise for Financial Services. Aug 25, 2026, 10:01 ET New MCP connector empowers financial institutions by providing high-quality data for reliable AI outputs and analysis NEW YORK, Aug. 25, 2026 /PRNewswire/ - Daloopa, the platform powering public equity professionals with trusted financial data and AI automation across the investment research cycle, today announced a new MCP connector built on Google Cloud's Gemini Enterprise for Financial Services to automate complex enterprise workflows. The integration delivers AI-ready financial data directly within Gemini Enterprise for Financial Services, helping users reduce manual work and accelerate a range of analyses. As AI transforms investment research, verified data has become the foundation of trustworthy financial workflows. From valuation and earnings analysis to portfolio modeling, AI systems are only as reliable as the data that powers them. Daloopa provides the structured, source-linked financial data layer that enables finance professionals and AI tools to produce more accurate and auditable results. Its platform covers more than 6,000 public companies globally, with every data point linked back to its original filing for complete traceability. "The promise of AI in investment research isn't simply generating answers faster - it's generating answers investors can trust," said Gabriella Hernandez, VP of Partnerships at Daloopa. "By connecting Daloopa's audit-ready financial data to Google's industry-tailored AI foundation, we're empowering Gemini Enterprise users to perform research tasks while maintaining the transparency required for high-stakes financial analysis." "Our collaboration with Daloopa underscores our commitment to bringing purpose-built, industry-specific AI capabilities to financial professionals. Together, we are equipping analysts and portfolio managers with verified data within their workflow so they can streamline research and analyses, as well as make decisions faster than ever before," said Satish Thomas, Vice President, Google Cloud. Daloopa's MCP is LLM-agnostic and supports AI platforms that adopt the MCP standard, enabling customers to use trusted financial data across their preferred AI applications. Customers can use Daloopa to accelerate tasks ranging from earnings analysis and scenario modeling to equity research and report generation, with complete traceability back to original company filings. About Daloopa Daloopa is the platform powering public equity professionals - delivering trusted financial data and AI automation across the investment research cycle. Its proprietary platform sources, structures, and distributes this historical financial dataset covering over 6,000 public companies globally. Analysts at the world's top financial institutions trust Daloopa's workflow solutions to save valuable time and accelerate their decision making. Daloopa also provides the critical AI data infrastructure that underpins the best financial agents and is trusted by the top global AI companies. Media Contacts: SOURCE Daloopa

Yahoo Finance
Aug 25th, 2026
Daloopa launches Gemini Enterprise connector to deliver AI-ready financial data for 6,000 public companies

Daloopa has launched a new MCP connector built on Google Cloud's Gemini Enterprise for Financial Services to automate complex enterprise workflows for public equity professionals. The integration provides AI-ready financial data directly within Gemini Enterprise, helping users reduce manual work and accelerate various analyses. Daloopa's platform covers more than 6,000 public companies globally, with every data point linked back to its original filing for complete traceability. The MCP connector is LLM-agnostic and supports AI platforms that adopt the MCP standard, enabling customers to use trusted financial data across their preferred AI applications. The integration aims to help analysts perform tasks such as earnings analysis, scenario modelling, equity research, and report generation whilst maintaining transparency and auditability required for high-stakes financial analysis.