R

Rogo

Generative AI for financial research automation

Senior Manager - Deal Strategy & Monetization

Full-Time
$150k - $200k/yr
Senior
New York, NY, USA
In Person
Sales & Account ManagementSales Operations

About the job

Requirements
  • 5 to 8 years of experience in deal desk, revenue operations, pricing strategy, or a related commercial function at a B2B SaaS or financial technology company.
  • Direct experience structuring and approving complex enterprise software deals.
  • Familiarity with consumption-based or usage-based pricing models and the operational complexity of transitioning to them.
  • Ability to translate complex commercial constructs into clear, winning narratives for customers.
  • Strong analytical skills with the ability to build and own commercial reporting from scratch.
  • High judgment in ambiguous situations, with the ability to push back on Sales when deal structure does not hold up.
  • Comfort operating at the intersection of Sales, Product, Finance, and Legal without needing a lot of direction.
  • Experience with Salesforce and an understanding of how CRM data connects to commercial reporting.
  • A track record of actively shaping commercial strategy that accelerated revenue, ideally including experience driving expansion within large, complex enterprise accounts.
Responsibilities
  • Own Rogo's monetization strategy, including its tier architecture, enterprise license structures, and credit-based pricing model.
  • Lead the operational execution of the transition to consumption-based pricing, including customer segmentation, milestone tracking, and commercial guardrails.
  • Partner with Product and Finance to evolve pricing as the platform and customer base scales.
  • Partner with Sales and senior leadership to design commercial constructs that drive expansion within strategic accounts, focusing on accelerating broad adoption at bulge-bracket and tier-one banks.
  • Identify structural barriers to expansion across a bank's business lines, desks, and geographies, and develop pricing, packaging, or contract mechanisms to remove them.
  • Design pilot and land structures that create commercial pull toward enterprise, including credit allocations, usage thresholds, expansion triggers, and enterprise license agreement terms that make consolidation difficult and growth the path of least resistance.
  • Shape deals upstream, before they reach the deal desk, so that deal structure accelerates closes.
  • Develop a point of view on how consumption-based pricing can be used as an expansion lever within accounts, and translate it into commercial playbooks for the Sales team.
  • Structure and approve non-standard enterprise deals, including custom credit bundles, multi-year agreements, and complex enterprise license agreement constructs.
  • Define and enforce deal guardrails, including discount approval tiers, minimum annual recurring revenue thresholds, and margin floors.
  • Own the commercial approval workflow end-to-end, reducing deal cycle time by creating clarity and speed across handoffs among Sales, Legal, Finance, and Product.
  • Serve as the commercial authority on high-stakes deals, including saves, competitive situations, and strategic account expansions.
  • Own monetization reporting, including bi-weekly consumption transition reports, credit utilization by customer, annual recurring revenue mix analysis, and pricing execution by representative and segment.
  • Track and publish deal quality metrics, including discount rates, attach rates, and average contract structure across segments.
  • Build reporting infrastructure that gives leadership a real-time view of how the business is monetizing.
  • Translate commercial data into actionable insights that inform pricing strategy and sales motion.
  • Serve as the primary business owner for the configure-price-quote and billing systems.
  • Partner with Revenue Operations on compensation plan alignment with consumption-based incentives.
  • Identify and surface commercial risks in the renewal pipeline, including credit underutilization and at-risk enterprise agreements.
Desired Qualifications
  • Financial services industry familiarity.

About the company

Rogo provides a generative AI platform for financial institutions to automate research, workflows, and document creation by orchestrating multiple AI models across proprietary and external content. It uses a model-agnostic orchestration layer that lets users plug in different AI models and data sources to generate insights, reports, and outputs for analysts, traders, and portfolio teams. Rogo stands out by offering cross-model orchestration and finance-specific data integration rather than relying on a single vendor, serving investment banks, private equity, hedge funds, and asset managers at scale. The company's goal is to help financial institutions scale research and documentation workflows and speed up decision‑making.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$345M

Headquarters

New York City, New York

Founded

2021

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Simplify's Take

What believers are saying

  • Rogo added Barclays, Citi, BNP Paribas, MUFG, and Société Générale on September 10, 2026.
  • Rogo says annual recurring revenue exceeded $50 million, signaling strong enterprise demand.
  • Deployments across 50,000 professionals at 350-plus firms support expansion into wealth management.

What critics are saying

  • OpenAI and Google finance copilots commoditize Rogo's workflow advantage within twelve months.
  • Customer concentration risk remains; one banking procurement freeze can stall expansion and renewals.
  • If regulatory failures expose deal data, banks will abandon Rogo's platform immediately.

What makes Rogo unique

  • Rogo's September 2026 Datasite integration embeds AI inside live M&A data rooms.
  • Rogo acquired Rivanna on August 11, 2026, adding citation-rich diligence workflows.
  • Rogo acquired Arvo on September 1, 2026, unifying compliant meeting notes with deal execution.

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Benefits

  • Flexible Work Hours
  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-4%

2 year growth

-4%
Capital Brief
Sep 10th, 2026
Rogo bags $30M from Citi, Barclays, BNP Paribas and Société Générale to expand AI banking tools

Rogo Technologies has secured strategic investments from Citi, Barclays, BNP Paribas and Société Générale, adding roughly $30 million to its coffers. The 2021-founded company develops AI software that automates routine investment-banking tasks like building slide decks and Excel models for clients including JPMorgan Chase and Bank of America. Nine global banks with combined $20 trillion in assets now back the company. Rogo raised $160 million at a $2 billion valuation earlier this year. The company plans to expand beyond investment banking into wealth management, automating portfolio reviews and client relationship analysis. Chief executive Gabe Stengel said the investments signal "AI for this industry has shifted from experiment to infrastructure".

IT Brief India
Sep 9th, 2026
Datasite partners Rogo on AI deal room integration.

Datasite partners Rogo on AI deal room integration. Thu, 10th Sep 2026 (Today) Datasite has partnered with Rogo to integrate Rogo's AI tools with Datasite data rooms, giving approved deal teams access to live transaction content inside Datasite. The integration is aimed at mergers and acquisitions work, where transaction documents, diligence materials and financial information are often stored in controlled virtual data rooms. Users approved within a Datasite project can use Rogo to query a full project, a folder or a single document without exporting files to another system. Deal teams can therefore use AI tools on material held in a live data room while Datasite's existing permissions continue to determine what each user is allowed to see. Rogo will also show the source behind its answers. Datasite provides software used in private market transactions, including virtual data rooms for M&A. Rogo offers AI software for financial services firms, including investment banks, private equity and credit firms, and asset and wealth managers. The partnership reflects growing demand among advisers and investors to use AI in day-to-day deal work such as document review, drafting internal materials, checking information and monitoring process updates. One challenge is that the relevant material is typically held in secure deal rooms, and moving files outside those systems can create version-control and confidentiality risks. By linking directly to Datasite content, the companies are seeking to keep AI use within the same governed environment as the underlying transaction documents. The connector will be available to Rogo customers with active Datasite projects. Deal workflow The integration is designed to support a range of tasks commonly handled by deal teams. These include reviewing deal documents through natural-language questions, drafting summaries and meeting materials, pulling financial details for models and valuations, and tracking new uploads or open requests in a transaction. In practice, this could allow bankers, lawyers, advisers and investors to use AI to interrogate documents already stored in a transaction workspace rather than creating separate repositories for analysis. It also means any access restrictions set by a seller or administrator remain in place while the documents are queried. The announcement adds Rogo to a broader set of AI links around Datasite's products. Its wider AI ecosystem also includes integrations with Legora and Harvey, which are used in legal and dealmaking workflows. Nicholas Renter, Senior Vice President, Strategic Growth & Partnerships at Datasite, described the tie-up as a way to combine speed with controls around sensitive deal information. "When it's time to make a decision, dealmakers need fast access to the right information, with the security and compliance their transactions require," said Nicholas Renter, Senior Vice President, Strategic Growth & Partnerships at Datasite. "Our partnership with Rogo lets dealmakers apply AI directly to trusted Datasite content - without exporting files or leaving our controlled environment - so they can move faster, close more business and deliver greater impact for their investors." Market push The move comes as software providers serving the M&A market race to embed generative AI into existing deal processes without undermining the confidentiality rules that govern live transactions. For data room operators, that has created pressure to connect their platforms with external AI tools while preserving granular user permissions and audit controls. Rogo said the appeal of the integration lies in giving its users access to the live deal information already inside data rooms rather than relying on separate document transfers. That matters in transactions where new documents, revised figures and updated requests can quickly change the picture. "Data rooms are where deals actually live," said Strib Walker, Head of Product at Rogo. "Partnering with Datasite brings critical deal content into Rogo, so deal teams can run diligence against governed, current deal information in the same environment where the rest of their work already happens." The arrangement is intended for approved users on active projects, indicating that access depends on existing participation in a live transaction. Its central feature is that AI analysis is applied to permissioned content already inside the data room rather than to exported copies of documents. That approach addresses one of the practical issues facing AI adoption in M&A: deal professionals want faster analysis and drafting tools, but they also need to avoid exposing confidential documents or working from stale files. Under the integration, source links and data room permissions remain part of the workflow while teams use AI on current transaction material.

Yahoo Finance
Sep 8th, 2026
Datasite partners with Rogo to bring secure AI access to M&A data rooms

Datasite has partnered with Rogo to enable secure AI access to M&A data rooms. The integration allows approved deal teams to use Rogo's AI tools on live Datasite content without exporting files or bypassing data room permissions. Users can ask questions about entire projects, specific folders, or individual documents whilst Datasite permissions control access. Rogo displays sources behind its answers, maintaining security protocols. The partnership addresses deal teams' growing demand to use AI for document review, drafting materials, and information verification. The integration prevents the risks associated with moving sensitive files between systems, including exposure of confidential content and use of outdated information. This collaboration expands Datasite's AI ecosystem, which includes integrations with Legora and Harvey.

WalletInvestor
Sep 4th, 2026
Rogo tops $50 million as AI, crypto rules and payments push financial services higher.

Rogo tops $50 million as AI, crypto rules and payments push financial services higher. By Nora Bennett Rogo's annual recurring revenue tripled past $50 million over the last year, overtaking rival Hebbia to become one of the largest names in the race to automate investment-banking and research work with artificial intelligence. The jump captures where money is flowing across financial services right now: toward software that compresses hours of analyst labor into minutes, and toward the firms building the plumbing for digital assets and payments. The broader sector reflected the momentum. The S&P 500 Financials group traded at 263.17, up 1.8% on the day, and has climbed 13.16% over the past 30 days. WalletInvestor's model rates the sector A and projects a 11.68% gain over the next year, a constructive read that lines up with the recent tape rather than fighting it. Rogo's revenue triples in a year. Rogo's growth points to real demand for AI tools aimed squarely at bankers, analysts and asset managers rather than the general market. Passing $50 million in annual recurring revenue, and doing it while overtaking Hebbia, marks a shift in a category that barely existed a few years ago. The pitch is straightforward: firms want to cut the time spent on due diligence, memo drafting and data-gathering, and they are willing to pay for software that does it. The valuations attached to these companies have run well ahead of their revenue, a familiar pattern in fast-growing enterprise software. Whether that spending holds through a tougher budget cycle is the open question, but the direction of travel for now is clear. Finance is one of the earliest and heaviest adopters of applied AI, and the revenue figures are starting to back up the hype. WhatsApp moves into Indian bill payments. Meta Platforms launched bill payments inside WhatsApp in India, connecting users to 22,722 billers for utilities, loans and other recurring charges. The move plants Meta directly in one of the world's most contested digital-payments markets, where it will compete with entrenched players already processing enormous volumes through India's unified payments system. The scale of the biller network signals Meta is treating this as more than a pilot. India has become the proving ground for consumer fintech at population scale, and a messaging app with hundreds of millions of local users starts with a distribution advantage most competitors would envy. It also invites the regulatory scrutiny that follows any large platform moving deeper into money movement. How aggressively Indian regulators police a foreign-owned app handling bill payments is unresolved, and it will shape how far Meta can push the product. Australia's October deadline puts crypto firms on notice. Australia is tightening the screws on crypto businesses ahead of a hard regulatory deadline. Firms that fail to comply by October 1 could breach the country's financial services law and face civil or criminal penalties, according to reporting from CoinDesk. The change folds digital-asset operators into the same licensing framework that governs traditional financial firms, ending a stretch of relative ambiguity. The consequence is concrete: a business that misses the cutoff is not merely out of step with guidance, it is potentially breaking the law. That raises the stakes for exchanges and service providers that have operated in the gray zone, and it forces a decision - get licensed, restructure, or exit the market. Australia joins a widening list of jurisdictions moving crypto out of a bespoke rulebook and into mainstream financial regulation. DWF Labs adds a BVI license. On the other side of that regulatory push, DWF Labs said a group entity secured Virtual Asset Service Provider approval in the British Virgin Islands, extending its licensing footprint as a market maker and investor in digital-asset infrastructure. For a firm whose business depends on operating across borders, each new approval widens the set of markets it can serve without regulatory friction. The two stories sit at the same fault line. Regulators are drawing firmer boundaries around crypto activity, and the firms that intend to stay are collecting licenses to prove they can operate inside them. DWF's BVI approval and Australia's crackdown are the same trend viewed from opposite ends - the cost of compliance rising, and the reward being continued access. Barclays, Adyen and the traditional desk. Away from the AI and crypto headlines, the established side of financial services drew its usual attention across market commentary, with Barclays and payments processor Adyen among the names in focus in roundups from WSJ Markets and Yahoo Finance. The juxtaposition is the story of the sector itself: legacy banks and payment networks generating the bulk of earnings while newer entrants - AI vendors, crypto market makers, messaging-app payment rails - chip at the edges and, in some cases, redraw them. WalletInvestor's model leans constructive on the group over longer horizons. Beyond the near-term projections, it forecasts a 5.85% gain over six months and 45.5% over five years, with a 90-day return already sitting at 9.13%. The one-year forecast of 11.68% runs ahead of the sector's trailing one-year return of 4.33%, a gap that reflects momentum building over the most recent months rather than the full year behind it. What ties the day together is breadth. Money is moving into financial services through more channels than it was a year ago - AI software billing tens of millions, a Meta app onboarding 22,000-plus billers, market makers stacking licenses, regulators writing crypto into statute. The October 1 deadline in Australia is the next fixed date on the calendar, and it will show which crypto operators intend to stay inside the system and which do not. Nora Bennett Senior markets editor, WalletInvestor Nora leads WalletInvestor's markets desk, covering macro data, central banks and the forces moving global equities and rates.

Rogo
Sep 1st, 2026
Rogo acquires Arvo, compliance-ready AI meeting assistant for finance

Rogo has acquired Arvo, an AI meeting assistant designed specifically for financial institutions. Generic AI note-takers cannot meet the compliance requirements of institutional finance, so Arvo was built with configurable controls for retention, meeting restrictions, and administrative oversight. The platform is purpose-built for finance workflows, featuring industry-specific terminology recognition, templates, and integrations with relevant systems. Arvo is currently deployed globally across major financial institutions and has powered thousands of meetings. Arvo was founded by Kunal Valrani, formerly an investment banker at The Raine Group, and Umer Haider, a software engineer previously at Capital One, StubHub, and GrubHub. The acquisition will integrate Arvo into Rogo's existing platform, allowing context from diligence calls, management meetings, and client conversations to flow directly into deal execution systems.