Full-Time

Staff Account Executive

Alation

Alation

501-1,000 employees

Enterprise data catalog and governance platform

No salary listed

London, UK

Hybrid

Hybrid role; some on-site days in London.

Bachelor's

Category
Sales & Account Management (1)
Required Skills
Microsoft Azure
AWS
Data Governance
Databricks
Snowflake
Google Cloud Platform

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Requirements
  • You’re a top-performing enterprise seller with 10+ years of success in complex SaaS sales, ideally across data, analytics, and/or AI.
  • You’ve consistently exceeded quota by earning executive trust, navigating complex buying cycles, and delivering measurable value to Fortune 1000 organizations.
  • Deep understanding of the data and emerging AI ecosystem, including but not limited to governance, data quality and how it is applied successfully to value-based selling that achieves material business outcomes.
  • Proven success in influencing Chief Data Officers, Chief Analytics Officers, Lines of Business, and AI/ML leaders at Fortune 1000 companies.
  • You bring both the strategic acumen of a consultant and the competitive drive of a closer.
  • Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar.
  • Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust in data.
  • Strong command of enterprise sales frameworks (MEDDPICC, Command of the Message, Value Selling, or similar).
  • Excellent communication skills and executive presence, with the ability to translate technical capabilities into impactful business outcomes.
  • Collaborative and coachable mindset; thrives in cross-functional, fast-paced environments.
  • Bachelor’s degree or equivalent experience required; advanced degree a plus.
Responsibilities
  • Identify and develop opportunities within large customer accounts, complex enterprises to expand Alation’s footprint across data cataloging, governance, data quality, and AI-driven use cases.
  • Lead consultative, multi-threaded sales cycles that often involve C-level stakeholders, technical teams, and AI transformation leaders.
  • Generate new logo pipeline in tier #1 enterprise ICP utilising best practice pipeline generation techniques with best go-to-market tools and capabilities for lead generation
  • Design, delivery and execute strategic account plans within existing customers to ensure renewal revenue that enables a defined roadmap for expansion opportunities
  • Advise customers on integrating AI-powered data intelligence into their analytics, governance, and agent frameworks.
  • Champion Alation’s offerings, such as Data Catalog, Data Governance, Data Quality, Marketplace, and AI Agents connecting them to strategic drivers.
  • Influence CDOs and CIOs on shaping their AI-readiness roadmap and trusted data foundation aligned to the organisation’s business outcomes.
  • Collaborate Across the Ecosystem: You’ll be supported by world-class product, marketing, and deployment strategist teams and backed by leadership that invests in your long-term success.
  • Leverage partnerships with major hyperscalers, data platforms, and AI ecosystem partners to drive joint value propositions.
  • Apply enterprise sales methodologies such as MEDDPICC, Force Management, Value Selling, and similar frameworks to forecast accurately and execute consistently.
  • Navigate complex RFPs, procurement processes, and cross-departmental decision structures with strategic rigor.

Alation provides an enterprise data catalog and data governance platform that helps organizations find, understand, trust, and collaborate on data across large environments. The product inventories data assets into a searchable catalog with metadata, lineage, and governance features, delivered via a subscription plus professional services, training, and support. It stands out by combining a widely adopted data catalog with governance capabilities and services to reduce data silos and improve data-driven decisions, backed by ROI evidence. Its goal is to help organizations manage data more effectively, improve data quality, enable trust and collaboration, and drive better decision-making and operational efficiency through a scalable catalog and governance platform.

Company Size

501-1,000

Company Stage

Series E

Total Funding

$315M

Headquarters

Redwood City, California

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • July 14, 2026 AIOS reframes Alation for enterprise AI governance buyers.
  • March 9, 2026 Curation Automation reached GA, reducing manual stewardship bottlenecks.
  • April 7, 2026 Rick Baker joined as COO to sharpen global go-to-market execution.

What critics are saying

  • August 20, 2026 cyberattack disclosure threatens trust among data-sensitive Fortune 1000 customers.
  • AIOS resets the company’s story, inviting platform churn against Microsoft, Databricks, and Informatica.
  • If the breach exposed data, renewal risk and litigation pressure can hit by Q4 2026.

What makes Alation unique

  • Alation owns the original data catalog category, with deep lineage and stewardship workflows.
  • AIOS unifies agents, context, data, and governance into one enterprise control plane.
  • Curation Automation turns metadata governance into continuous, policy-driven automation across thousands of assets.

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Benefits

Health and wellness package

Vacation and time off

401(k), performing bonus, and company equity

Promote from within; lunch and learns

Commuter benefit program, company outings, happy hours, certain meals provided

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

2%

2 year growth

2%
VPNReports
Aug 20th, 2026
Alation confirms cyberattack after days of vague 'incident' language.

Alation confirms cyberattack after days of vague 'incident' language. August 20, 2026 When a company that handles sensitive corporate data for hundreds of the world's largest businesses gets hit by a cyberattack, you'd expect some transparency. What Alation offered instead was a carefully worded statement and a lot of silence. According to TechCrunch, Alation confirmed the cyberattack on Thursday, days after quietly flagging an unspecified "incident" that caused "degraded availability" for some customers on Tuesday. That earlier disruption was reportedly resolved within an hour. But what actually happened? The company isn't saying. No root cause. No customer count. No word on whether data was stolen. Alation makes data cataloging software that enterprise customers use to search through massive amounts of internal files and data using natural language queries. In recent years, it has pushed further into AI, helping companies turn messy, scattered data into something usable. It claims to work with more than 500 global companies, including roughly half of the Fortune 1000. That's a significant concentration of sensitive corporate information sitting in or connected to its systems. The company's official statement, delivered through an external PR representative, read: "Alation recently identified an isolated incident involving unauthorized activity in one of its systems. We are conducting a thorough investigation of what occurred and we will provide additional information as appropriate." The phrase "as appropriate" is doing a lot of heavy lifting there. Appropriate for whom, exactly? For privacy-conscious observers, the gaps in this disclosure are the story. Alation has not confirmed whether it notified affected customers directly. It has not said whether any data was exfiltrated. Much of its infrastructure runs on Amazon Web Services, which raises questions about the scope of the intrusion and what cloud-stored data may have been exposed. This attack doesn't happen in isolation. It fits into a clear pattern of hackers going after companies that aggregate valuable corporate data on behalf of their clients. Earlier this month, multiple companies reported data thefts following a breach at European shipping giant Ceva Logistics. Financial firms and private equity companies have also reportedly been targeted in recent weeks. Attackers have figured out that hitting one data-rich intermediary can expose dozens of downstream victims. That's what makes Alation's tight-lipped response so frustrating. Its customers can't make informed decisions about their own risk if the company won't tell them what was accessed, when, and how. Saying the investigation is "thorough" costs nothing. Actual disclosure costs something. So far, Alation is choosing the cheaper option.

Accounting Today
Aug 14th, 2026
Suralink expands Agent Library, includes client document pre-screener.

Suralink expands Agent Library, includes client document pre-screener. , an accounting-centered client collaboration platform, announced an expansion of its Agent Library. This includes what Suralink says is the very first Client Document Prescreen Agent that proactively notifies clients when they have incorrect or missing documents and works with them in real-time to resolve these issues. Suralink has also released a Multi-Level Vouching Agent that is made to handle highly complex vouching procedures, as well as a Version Compare Agent, which speeds up document review by identifying each change between drafts. Suralink also announced enhancements to its Client Data Vault platform. Launched earlier this year, the client-facing platform allows clients to independently control and utilize their prior-period engagement data. In addition to archived engagements, it now also captures inactivated or deleted engagements, so the Client Data Vault reflects a client's full engagement history rather than just a portion of it. TransFi launches Jarvis for cross-border payment compliance. Stablecoin-based cross-border infrastructure provider has introduced Jarvis, a proprietary AI-powered compliance intelligence platform that consolidates customer and transaction data from across its internal systems and third-party providers into a single, risk-based view. It combines Know Your Customer and sanctions screening, internet profiling, risk labelling, behavioral and biometric signals, and fiat and blockchain transaction monitoring into a single dashboard, giving compliance teams one view of every customer across a multi-entity, multi-regulator business. From that unified view, Jarvis creates a risk profile against each customer, merchant, sender and recipient in the system. It takes into account the result of all the internal controls at TransFi. Jarvis runs the analysis based on heuristics and AI-powered research, recommending actions on high-confidence matches and escalating complex or ambiguous cases for human review. For the cases that reach analysts, Jarvis prepares investigation summaries with key observations, supporting evidence, and recommended next steps, helping teams work faster with full context. Final decisions on KYC, Know Your Business, transaction monitoring and screening are always with the compliance team with the oversight of the money laundering reporting officer. The platform sharpens over time as it learns from historical decisions, fraud patterns, regulatory updates and analyst feedback. TransFi has positioned Jarvis as the central intelligence layer of its compliance function. As the platform develops, it is expected to extend into real-time behavior monitoring, predictive fraud detection and explainable, AI-driven recommendations, supporting the company's growth across regulated markets. PwC Canada joins with Alation to develop AI solutions. Big Four firm 's Canadian unit has partnered with AI solutions provider to combine PwC Canada's regulatory and implementation expertise with to deliver AI-powered, pre-built solutions for highly regulated industries. Together, Alation and PwC Canada will develop and deliver joint accelerators, including pre-built, self-improving, industry-specific solutions that compress the path from regulatory requirements to audit-ready evidence. The first solution under the partnership is the E-21 Compliance Accelerator, built for Canadian chartered banks facing OSFI Guideline E-21 data risk management requirements. AI agents running the accelerator automate Critical Data Element classification, data lineage tracing and audit evidence generation. Fieldguide rebrands to emphasize agentic collaboration. Audit and risk advisory solutions provider announced a refreshed brand identity anchored by a new logo and visual language. The changes reflect Fieldguide's evolution into an agentic AI platform used throughout the industry. This refresh is presented as more than a visual update, Fieldguide said it underscores the company's role in building a future where practitioners and AI agents work side by side across the full arc of an engagement, not just a single task. With this refresh, Fieldguide is also introducing a new brand expression, "Expertise, amplified," which conveys how Fieldguide's agentic platform augments practitioners' deep expertise. To this end, Fieldguide's two latest launches ( ) center on shifting manual tasks to Fieldguide's agents, so practitioners can stay focused on where they provide the most value. Crunchafi and Thomson Reuters host webinar on automating lease procedures in audit workflows. andia-faith/andiafaith - stock.adobe.com Lease accounting solutions provider announced a joint webinar on how CPA firms can use automation to simplify complex lease procedures and reduce manual work during the audit. The live session, "Automate Lease Procedures Inside Thomson Reuters Guided Assurance," will take place on August 18, 2026, at 1 p.m. CDT. Jess Vento, senior director of solutions engineering, education and support at Crunchafi, and Stuart Cobbe, head of product for audit at Thomson Reuters, will explore how automation can reduce that manual work and create a more efficient, connected audit process. Using Crunchafi and Thomson Reuters Guided Assurance as a practical example, they'll show how lease procedures can be automated from source contract to audit-ready workpaper, with a short technical segment demonstrating how outputs return to the engagement manager for review and sign-off. Attendees can continue the conversation with Crunchafi at , Thomson Reuters' annual user conference this November, where the team will demonstrate the lease automation workflow and discuss firm-specific use cases. TaxPlanIQ ranks 644 in Inc. 5000 list. larioslake - Fotolia Tax planning solutions provider has been ranked No. 644 on the 2026 Inc. 5000 list, the annual list of the fastest-growing private companies in America. TaxPlanIQ also ranked No. 50 in the Financial Services category. The list recognizes successful independent and entrepreneurial businesses hat have achieved remarkable growth while driving innovation, creating jobs and shaping the future of the economy. TaxPlanIQ posted 562% three-year revenue growth to earn its place among this year's honorees, joining an alumni network of past honorees that includes Microsoft, Meta, Chobani, Oracle, and Patagonia. Inc. will celebrate the honorees at the 2026 Inc. 5000 Conference & Gala, taking place Oct. 14-16 in Dallas, and the top 500 will be listed in the fall issue of Inc. Magazine.

Storage Newsletter
Jul 16th, 2026
Alation launches AIOS: all-new Intelligence Operating System for enterprise AI.

Alation launches AIOS: all-new Intelligence Operating System for enterprise AI. Designed to prevent AI from confident but quiet fails, AIOS puts data, context, and agents all in one governed, self-improving system. Alation Inc., a creator of an intelligence operating system, announced the introduction of Alation Intelligence Operating System (AIOS). AIOS is an operating system designed to help enterprises govern AI as they build and deploy it across their most critical business operations. The gap between AI initiatives and success is wide because so much enterprise data requires dynamic context to be useful. The challenges come in three ways: * Bad data reaches an agent, and it acts on stale or incorrect information with full confidence * An agent misreads context, applying the wrong definition or missing business logic that has changed since it was built * An agent itself drifts as instructions, tools, or training fall out of step with the environment it operates in When software breaks, it produces an error. When an agent breaks in one of these ways, it produces a confident, incorrect answer, where most organizations have no system of record to catch it before that answer drives a decision. AIOS addresses all three failure points by combining data, context, and agents into a unified operating system that is open, governed, and self-improving. "Enterprises need a system to ensure the AI they\'re already running can be trusted. No single eval or guardrail is enough to keep AI right," said Satyen Sangani, CEO and co-founder, Alation. "AIOS coordinates the data, context, and agents inside an enterprise's existing environment, so every decision an agent makes holds up. That's the operating system enterprises are missing today, and it's why we rebuilt Alation around it." Unlike AI platforms built around proprietary ecosystems, AIOS is an open, governed architecture that continuously self-improves across an organization's existing data and AI environment. By integrating agents, context, data, and governance together in one system, it simplifies AI governance and improves outcomes. Alation leverages its heritage in data quality, catalogs, and lineage, so organizations don't have a cold start preparing data to be AI-ready. Most enterprises cannot afford to get anything wrong in regulatory compliance, data fidelity, or operational outcomes, which is why Alation unified organizational data intelligence into a single system. "Enterprises have spent the last two years bolting AI onto data infrastructure that wasn't built for it - point solutions that don't talk to each other, with no way to explain why an agent did what it did," said Stewart Bond, VP, IDC. "What's missing isn't another AI platform; it's an operating system that keeps data, context, and agents in sync as the environment changes. Alation's move to unify these into an intelligence operating system is a signal of where this market is headed: away from fragmented tooling, toward a governed foundation enterprises can trust their agents to run on." "Confident and wrong is the most dangerous failure mode in enterprise AI, and it's the default one, because most governance today is applied after the agent has already acted," Sanjeev Mohan, founder, SanjMo. "What's needed is a system that enforces data quality and business context at runtime while the agent is deciding, not after it has decided." < The AIOS platform provides organizations with the ability to: * Build trusted agents grounded in governed enterprise knowledge, powered by Agent Studio (Agentic Automation) * Improve regulatory compliance through governed data and AI workflows, with proof ready on demand (Agentic Compliance) * Control context, lineage, and access so every AI-driven decision holds up under scrutiny (Agentic Data Governance) * Ask data questions in plain language and get answers grounded in trusted data (Conversational Analytics) * Govern AI by use case, with evidence already assembled (AI Governance) As AI becomes embedded across every business function, organizations require more than data management. They need an intelligent foundation that continuously connects agents, contexts, data, and governance to produce reliable business outcomes. Read also: Baker brings more than two decades of leadership experience, combining revenue and customer-facing functions under a unified operating model New solution strengthens enterprise AI insights with a single system of record for every AI model, agent, and tool - with live, board-ready compliance posture on demand

Associated Press
Jul 14th, 2026
Alation launches AIOS, an intelligence operating system for enterprise AI governance

Alation has launched AIOS, an Intelligence Operating System designed to help enterprises govern AI across critical business operations. The system addresses three key failure points: bad data reaching agents, agents misreading context, and agent drift as instructions fall out of step with their operating environment. AIOS combines data, context, and agents into a unified operating system that is open, governed, and self-improving. Unlike AI platforms built around proprietary ecosystems, it integrates with an organisation's existing data and AI environment, leveraging Alation's heritage in data quality, catalogues, and lineage. The platform enables organisations to build trusted agents, improve regulatory compliance, control context and lineage, and govern AI by use case. CEO Satyen Sangani said enterprises need a system to ensure their AI can be trusted, as no single evaluation or guardrail is sufficient.

Transmit Media Pty Ltd
May 14th, 2026
Alation launches AI Governance platform.

Alation launches AI Governance platform. Post date: Thursday, May 14, 2026 - 12:42 Enterprises rolling out artificial intelligence faster than they can govern it now have a new option from data catalogue vendor Alation, which has introduced Alation AI Governance, a system of record for AI models, agents and tools. Unveiled at the Gartner Data and Analytics Summit in London, the offering registers every AI asset in a single inventory, maps each to applicable regulations, generates evidence-backed model cards, routes approvals through regulation-aware workflows and produces a live compliance posture for executives. Alation says the product addresses a gap created when organisations deploy AI faster than governance frameworks can be applied. The vendor describes a familiar scenario in which model documentation lives in SharePoint pages, approval threads sit in email and stale records cannot satisfy regulators or board questions. The product registry covers built-in support for the EU AI Act, AI-relevant subsets of the General Data Protection Regulation, the United States National Institute of Standards and Technology AI Risk Management Framework, and ISO 42001. Customers can add additional regulations, with AI-assisted suggestions to accelerate requirement mapping. Five capabilities sit inside the product. An AI Asset Registry ingests assets from connected platforms or via software development kit submission. AI-Native Model Cards are generated from metadata, data dependencies and regulatory requirements, with every field citing a source. An Agentic Governance Workflow routes approvals by regulation applicability, sending a high-risk EU AI Act asset to Legal and the CISO while a NIST-only asset follows a standard chain. Missing evidence generates remediation tasks, and every action is logged in an append-only audit trail exportable in narrative format for regulators. The Executive Dashboard presents an overall compliance score, per-regulation breakdown with trend lines and the top open risk items blocking compliance, with drill-down to underlying assets. A board-ready PDF can be exported on demand. "The question in every boardroom has shifted from 'are we using AI?' to 'can we prove we're using it responsibly?'" said GT Volpe, Head of Product Management at Alation. "That proof does not come from policy documents filed in SharePoint." This year's agenda takes a deeper dive into: - Proving ROI from data, analytics and AI initiatives - Establishing AI-ready data foundations and best practices - Navigating the evolving AI agent landscape and deployment models Business Solution: