Full-Time

Director/Sr Director of Sales

Data/AI, Databricks

Xebia

Xebia

5,001-10,000 employees

Global IT consultancy delivering digital transformation

No salary listed

Remote in USA

Remote

Category
Sales & Account Management (1)
Required Skills
Databricks

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Requirements
  • 12+ years of experience in software services selling to enterprise accounts.
  • 6+ years experience in selling Cloud/Data/AI solutions to business and technology stakeholders. Understanding of BFSI, Retail, Travel, and Hospitality, Media verticals is a plus.
  • 3+ years of experience selling in the Databricks ecosystem – via Databricks alliance as well as direct to clients
  • Demonstrable experience in achieving annual revenue targets, primarily on net new logos.
  • Large deal sales experience with the global delivery model, particularly in outsourcing and transformation.
  • Ability to manage in a complex matrix environment and should be strong and focused on Customer Service Excellence.
  • Excellent Relationship Building Skills.
  • Excellent communication skills, both oral and written.
  • Technology background in IT consulting/services or Software Engineering services company.
  • Understanding of the details of the latest Cloud/Data/AI technology stack including how the landscape has evolved.
  • Proven ability to land and expand in the acquired customer base, with methodical.
  • Account planning, mapping with an approach to build and nurture client relationships.
  • Strong solution-selling background.
  • Legitimate and proven self-starter. Highly motivated to jump in and get things done.
  • Excellent leadership and communications skills required. High comfort level working with all levels of an organization, including C-suite.
Responsibilities
  • Acquire new customers in the Data/AI space across North America as well as help grow existing customers wherever applicable
  • Experience in working with partner ecosystems driving business together via co-sell and sourced revenue
  • Use knowledge of the Data/AI industry, technology, processes, and consultative sales skills to assess and educate clients on the value of our business and implementation expertise
  • Build long-term relationships with key contacts at target customers
  • Utilize strategic client hunting practices, industry/market analysis, internal communication, external promotions, and constant in-depth client analysis to uncover revenue opportunities
  • Develop and perform strategic prospecting activities to generate pipeline and grow territory
  • Build, Manage and accurately forecast a strong Sales Pipeline and Revenue
  • Customer profiling, account planning against set revenue/margin targets by services line at the account level
  • Anchor client meetings and pursue opportunities generated with the help of pre-sales, delivery, and external partners
  • Build in-depth knowledge of clients' business priorities, challenges, and initiatives that can be translated into opportunities
  • Willingness to work with a geographically distributed team structure in an extremely fast-paced and challenging environment
  • Understand and respond to client’s business issues by developing a go-forward roadmap
  • Has experience in driving and managing large deals
  • Continuously learn about Xebia’s offerings, successes, and business ecosystem to share and bring insights to clients
  • Using CRM effectively to track opportunities and sales forecasts in a weekly, monthly, quarterly and annual planning rhythm for your region with high levels of predictability, quality and accuracy
  • Working on partner activities such as lunch and learns to sales organizations on both the partner side and Xebia side, co-marketing activities such as blogs, webinars, conferences, customer round tables, joint pipeline review, and new pipeline creation
Desired Qualifications
  • Nice to have - demonstrable experience in working with Cloud Service Providers such as Amazon, Microsoft, and Google towards mutually beneficial partnerships

Xebia is an IT consultancy that helps organizations transform through digital strategy, software delivery, and technology enablement across services like Digital Strategy, DevOps and SRE, Agile, Data and AI, Cloud, and Microsoft Solutions. It works by deploying a global network of 3,100 professionals in themed chapters and partner brands to deliver end-to-end digital consulting, along with offshoring and nearshoring options for scale. The company differentiates itself with a diversified, chapter-based structure and a mix of in-house capabilities and external brands, enabling practical, hands-on technology work and capability building inside client organizations. Its goal is to help the world's top companies embrace new technology and business models by delivering tangible solutions and building internal capabilities for lasting transformation.

Company Size

5,001-10,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Atlanta, Georgia

Founded

2001

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Simplify Jobs

Simplify's Take

What believers are saying

  • April 2026 Google Cloud named Xebia 2026 Benelux Partner of the Year.
  • July 2026 Xebia launched Axis, already marketed globally to banks, airlines, retailers.
  • Anthropic resale and NVIDIA partnerships strengthen Xebia's enterprise AI credibility in 2026.

What critics are saying

  • Waterland is shopping Xebia for €1 billion, pressuring buyers if growth disappoints.
  • Consulting commoditization will squeeze Xebia if clients buy cheaper AI automation directly.
  • A failed sale or integration reset under new ownership would unsettle leaders and recruiters.

What makes Xebia unique

  • Xebia Axis unifies data readiness, migration, observability, and operations for AI platforms.
  • ACE embeds AI across SDLC, targeting up to 40% faster enterprise delivery.
  • Xebia spans AWS, Google Cloud, Databricks, Snowflake, Microsoft, NVIDIA, and Anthropic.

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Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

22%

1 year growth

22%

2 year growth

22%
The Mirror Democrat and Savanna Times-Journal
Jul 14th, 2026
Xebia Axis now available: an Agentic Data Foundation that prepares enterprise data for AI.

Xebia Axis now available: an Agentic Data Foundation that prepares enterprise data for AI. * 2 hrs ago ATLANTA, July 14, 2026 (GLOBE NEWSWIRE) - Xebia, a global AI-first, digital transformation, and engineering leader, announced Xebia Axis: Agentic Data Foundation, a solution that gets enterprise data ready for AI with the speed of automation and the discipline of governed engineering. It combines proprietary AI agents with human data engineering teams to assess, migrate, monitor, and operate enterprise data platforms, completing migrations roughly three times faster than conventional, human-led delivery without trading away governance or data quality. Kourtney Kardashian and Travis Barker suffered miscarriage before welcoming son Rocky The solution addresses a change in how enterprise data is consumed. Data platforms were designed for people who can work around inconsistencies. Autonomous AI agents act on data as they find it. Xebia Axis makes the data, governance, and controls that those agents rely on consistent, auditable, and production-ready. Human teams set strategy and govern quality, while agents execute with roughly 10 times the leverage of a purely human-led team. At a Glance * What it is: A single solution that assesses, builds, migrates, monitors, and operates enterprise data platforms, providing the foundation for an Agentic Enterprise. * How it works: Human teams set strategy and govern quality throughout the lifecycle. Proprietary AI agents perform assessment, migration, monitoring, and remediation tasks. * Six modules: Readiness, Platform, Knowledge, Migration, Observability, and Operations. * Timeline: Organizations move from data sprawl to a production-ready, self-healing data platform in weeks rather than the months legacy approaches require. * Governance: Access control, audit logging, data residency, and bias controls are part of the platform rather than added afterward. * Interoperability: Works across major cloud platforms and large language models; no single-vendor requirement. "Enterprises have spent years moving data to the cloud, but many still cannot put AI into production because the underlying data and governance are not ready," said Anand Sahay, Chief Executive Officer, Xebia. "Xebia Axis closes that gap, so our clients can move to an Agentic Enterprise faster than competitors still wrestling with legacy data platforms." How Xebia Axis Works Xebia Axis covers the full data lifecycle in one solution rather than the separate tools enterprises typically assemble for each stage. Six modules run from initial assessment through ongoing operations: Readiness maps the data estate and produces a prioritized migration blueprint; Platform generates governed, policy-validated infrastructure as code; Knowledge converts content held in documents, email, and disconnected systems into a governed data layer for AI; Migration automates data and pipeline conversion with parity checks before cutover; Observability monitors data quality, service levels, and agent activity; and Operations performs root-cause analysis after go-live and submits fixes as pull requests for human review. Agents operate within controls for access, audit logging, and data residency, and data remains within the client's environment. Xebia Axis works across major cloud platforms, including Amazon Redshift, Google BigQuery, Databricks, Snowflake, and Microsoft Fabric, and major large language models, including Claude, OpenAI, Gemini, and Mistral AI. "The same agent technology that makes data debt urgent also makes it faster to resolve," said Niels Zeilemaker, Xebia's Global CTO Data & AI. "Xebia Axis puts purpose-built agents alongside senior engineers to build and run data platforms in production, with governance built into the platform itself." Built on Partner Platforms Xebia Axis is built to run on the platforms enterprises already rely on. As a partner of Amazon Web Services, Microsoft, Google Cloud, Databricks, and Snowflake, Xebia deploys it natively on each. It provisions governed environments, migrates workloads, and operates pipelines within the customer's chosen stack. Because the solution is platform- and model-agnostic, organizations can integrate these clouds and data platforms with their preferred large language models and adapt as their architecture evolves. Early Xebia Axis Engagements Across Industries * A global bank used the solution to consolidate fraud and credit data from separate batch systems into one governed platform with real-time access for its detection models. Cloud data-platform modernizations for banks of this size and medium complexity typically reduce infrastructure costs by 30 to 50 percent within the first two years. * A global airline applied Xebia Axis to modernize fragmented operational and customer data. By automating estate discovery, code conversion, and validation, Axis completes migrations roughly three times faster than conventional means. It brings traditional migrations, which usually last 12 to 18 months, down to a few months. * A global retailer used the solution to consolidate duplicate pipelines into a single, governed, continuously monitored platform to address data-quality failures. The retailer has benefited from more consistent, trustworthy data across its reporting and operations, with issues caught and resolved before they reach downstream systems. Availability Xebia Axis is available globally today. Organizations can begin with Xebia Axis for Readiness as a standalone assessment, which produces a data readiness score, estate inventory, and migration roadmap in two to four weeks; assessment fees are credited toward a subsequent migration. More information is available at: www.Xebia.AI/Axis Recently, Xebia launched Xebia Ace, an AI-Native Engineering solution. It is an AI-Native software engineering framework designed for pragmatic, outcome-driven modernization and digital transformation, which embeds AI across the entire SDLC to accelerate delivery by up to 40%. About Xebia Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 4,500+ professionals across 16 countries, Xebia specializes in artificial intelligence, data and cloud, intelligent automation, and digital products and platforms. With a strong focus on engineering excellence and a people-first culture, it equips organizations to apply emerging technologies that accelerate business innovation and drive sustainable competitive advantage. Xebia leads with a responsible and human-centric approach to AI, ensuring organizations shape a better tomorrow for all. Media Contact Maureen Elsberry Global VP of Communications at Xebia

Analytics India Magazine
Jun 23rd, 2026
Xebia certified as a Best Firm for AI Professionals.

Xebia certified as a Best Firm for AI Professionals. Employee feedback from Xebia's AI professionals reflects a culture defined by trust and collaborative intent. AIM Media House · JUNE 23, 2026, 4:07 AM · Updated JUNE 23, 2026, 8:39 PM Xebia, the global leader in IT consulting, software engineering, and AI-driven digital transformation, has been certified as a Best Firm for AI Professionals by Analytics India Magazine (AIM) through its Best Firm Certification programme. The Best Firm for AI Professionals certification surveys assess workplace culture, access to leadership, collaboration, learning opportunities, and the nature and depth of AI work delivered. AIM conducts an independent analysis of survey responses to understand how effectively organisations support AI teams in their day-to-day work. Xebia's certification is based on structured feedback from AI, machine learning, and data professionals within the organisation, and evaluates how companies enable technical teams to build, deploy, and scale AI solutions that deliver business value. Xebia earned the certification with a 90% or above approval rating, which recognises a Data & AI practice where professionals are given the space to work on serious, high-quality AI problems at scale, engaging directly with enterprise clients across banking, healthcare, manufacturing, travel, and technology to accelerate digital transformation. A Global AI Practice Built on Engineering Excellence Founded in 2001, Xebia has grown from a Dutch agile-focused consultancy into a full-service global technology partner with over 5,500 professionals across 16 countries. Its Data & AI practice sits at the centre of this evolution, delivering end-to-end AI solutions from data engineering and cloud infrastructure to generative AI, intelligent automation, and agentic AI for some of the world's leading enterprises. Xebia's AI credentials span a broad portfolio of global partnerships and recognitions, including AWS Premier Partner status, GitHub Global Partner of the Year (2024-2025), a Google Cloud Centre of Excellence, and recognition by Everest Group as a Leader in data, AI, and software engineering services. Its IntelliAgent solution earned the Appian Partner Impact and Excellence Award for Innovation in 2025, reflecting the depth of its engineering capability across intelligent automation. In India, Xebia's teams work on enterprise-scale AI engagements spanning generative AI, multi-agent AI systems, data pipelines, cloud modernisation, and AI-native software engineering, contributing directly to global delivery and innovation alongside clients undergoing large-scale transformation. What the Certification Reflects For Xebia's Data & AI leadership, the AIM certification carries weight precisely because it is grounded in practitioners' on-the-ground experience. A 90% or above approval rating from AI professionals points to something more than a positive work environment. It signals that the organisation has created conditions for genuinely rigorous, impactful AI work. "What makes this recognition meaningful for me is what it says about our craft. To be recognised as the best firm for AI professionals with a 90% plus approval rating tells us we are creating a place where people can do serious, high-quality work in AI; where you are not just delivering projects, but constantly learning, experimenting, solving real-world problems at scale, and pushing yourself alongside some incredibly talented people. That's what we have been trying to build at Xebia. Thank you to the entire team for raising the bar every single day. We are in a space that's evolving fast, and I think we are exactly where we need to be," Mayank Verma, Global Head, Data & AI, Xebia, reflected on the recognition. Trust, Ownership, and a Culture That Invests in People Employee feedback from Xebia's AI professionals reflects a culture defined by trust and collaborative intent. Across teams, professionals describe an environment where they are genuinely encouraged to take initiative, test ideas, and grow - supported by leadership and colleagues who are invested in shared outcomes rather than individual metrics. "This is such an exciting moment for me and for all of us at Xebia. Building the best firm for AI professionals reflects the culture I experience every day. There's a strong sense of trust here. I'm encouraged to take ownership, try new ideas, and keep growing. And what stands out most to me is the people and the leadership. Everyone is supportive, collaborative, and genuinely invested in each other's success. So yes, this award feels well-deserved, and I'm really proud to be a part of it," Bhargav Kul Shaurya, Data & AI, Xebia, reflected on what the certification means. This emphasis on trust and mutual investment is consistent with Xebia's broader people philosophy. The organisation structures its AI teams around 'chapters', focused collectives with deep domain expertise, allowing AI professionals to develop both technical depth and broader consulting capability across client engagements, rather than being siloed into narrow delivery roles. Certification and the AI Talent Landscape As enterprises across sectors accelerate their adoption of AI, the demand for professionals who can operate across the full lifecycle of AI programmes from problem framing and model development to deployment and scale continues to grow sharply. Workplace certifications such as AIM's Best Firm for AI Professionals help distinguish organisations that offer substantive technical environments from those presenting surface-level innovation narratives. For Xebia, the certification reinforces its position as a destination for AI professionals who want to work on industry-defining problems, engage with global clients at scale, and operate within a culture that takes engineering craft seriously. With AI evolving rapidly across every sector it serves, Xebia's Data & AI practice is well-placed to attract and retain the calibre of professionals needed to lead that work. The Best Firm for AI Professionals certification by AIM is a benchmark for organisations building credible, high-performance AI teams. Companies participate in the programme to gather employee-led insights and review internal practices that support long-term technical capability development. Contributor Since 2012, AIM has been chronicling the technological progress in artificial intelligence by highlighting the innovations, key players, and challenges shaping the future of our world. Through dedicated journalism, we promote and discuss ideas from smart, passionate, action-oriented individuals who strive to change the world.

Blockport
Jun 14th, 2026
Xebia: AI agents need data catalogues, ADF and ACE.

Xebia: AI agents need data catalogues, ADF and ACE. Xebia warned AI agents will fail without discoverable, documented data and urged firms to use Agentic Data Foundation and Xebia ACE to make data AI-ready and speed migrations. Niels Zeilemaker, Xebia's global CTO, warned at AI & Big Data Expo and TechEx Global North America that AI agents will fail unless organisations make their data discoverable and well documented. He recommended using Agentic Data Foundation (ADF) and Xebia ACE to prepare data for AI and accelerate migration work. Xebia describes ADF as an extension of a data platform that can host purpose-built agents for customer-facing services and internal processes. The company says combining agent design with engineering can shorten migration projects that it estimates often take 12 to 24 months into fixed-price, milestone-based engagements. Zeilemaker focused on data cataloguing as a practical requirement for agents. He noted that unlike human staff, agents cannot call a colleague for clarification and must rely on catalogue entries. He warned: "Agents have to rely on the data catalogue, what's written there, and if the description is wrong, the agents will not perform." Xebia ACE is presented as an AI-native software engineering framework that embeds AI across the software development lifecycle. The firm says ACE can speed delivery by up to 40% and cut legacy transformation costs by up to 70% while allowing organisations to keep existing governance and quality controls. Zeilemaker used the term "vibe coding" to describe apps created with low-code or LLM-assisted tools that are often not ready for production, and he argued ACE helps keep quality while using LLMs. The company is also integrating LLM-assisted coding into migration workflows. Xebia says it has used LLMs to speed parts of traditional migrations and is now embedding those capabilities into the data platform so agents and platform context can help automate and validate migration tasks. The firm said several clients are co-developing solutions to shorten timelines and reduce risk. On security and governance, Zeilemaker said large volumes of generated code could introduce vulnerabilities and pointed to recent work on an automated pull-request reviewer as an example of how LLMs might be used in review processes. He added: "There will be very lengthy pull request reviews... and then you add a very senior team member in the form of an LLM to your process, which does a sort of third-party review." Xebia said it participates in industry events to share practices and that ADF and ACE are intended for organisations assessing data readiness and moving AI agents from pilots into operational systems. Content on BlockPort is provided for informational purposes only and does not constitute financial guidance. Blockport Company strive to ensure the accuracy and relevance of the information Blockport Company share, but Blockport Company do not guarantee that all content is complete, error-free, or up to date. BlockPort disclaims any liability for losses, mistakes, or actions taken based on the material found on this site. Always conduct your own research before making financial decisions and consider consulting with a licensed advisor. For further details, please review its Terms of Use, Privacy Policy, and Disclaimer.

Blockport
Jun 11th, 2026
Xebia urges data overhaul to speed AI agent rollouts.

Xebia urges data overhaul to speed AI agent rollouts. At AI & Big Data Expo, Xebia CTO Niels Zeilemaker outlined how to catalogue enterprise data and use Xebia's Agentic Data Foundation and ACE to speed agent deployments. At the AI & Big Data Expo, Xebia CTO Niels Zeilemaker described steps firms should take to prepare data and deploy Xebia's Agentic Data Foundation (ADF) and Xebia ACE to accelerate AI agent rollouts and legacy migrations. Zeilemaker said the first priority for any organisation adding AI agents is to make data available and trustworthy for automated use. He warned that agents will fail if they cannot locate the right records, if datasets are mislabelled, or if fields are incorrectly joined. 'If you don't think about that, you can build the best agent, but it will never be able to find the correct data,' he said. A large part of Zeilemaker's presentation focused on data cataloguing. He explained that human teams can call a colleague when documentation is missing, but agents cannot. Agents depend entirely on catalogue entries and accurate metadata. He urged organisations to improve catalogue descriptions and data labels before deploying agents. Xebia's Agentic Data Foundation aims to extend existing data platforms so agents can run against controlled data sources and be used in customer-facing products and internal processes. Zeilemaker described work that compresses typical 12- to 24-month migration and integration timelines into fixed-price, milestone-bound engagements, with consultants and clients co-developing migration paths. Xebia ACE is an AI-native software engineering framework intended to embed AI across the software development lifecycle. Zeilemaker said ACE can shorten delivery times by up to 40% and reduce legacy transformation costs by up to 70% in larger enterprises that need to keep established governance and workflows. He described combining LLM-assisted coding with added contextual layers inside migration workstreams. Automated coding tools were integrated into the data platform to run migrations faster while preserving oversight and control over generated code. Security and governance remain industry concerns for AI-driven development. Zeilemaker pointed to experiments that add an LLM as an additional reviewer in pull request workflows, describing the model as a 'senior team member' that can perform a third-party review alongside human reviewers. Zeilemaker also highlighted the company's practice of sharing methods and lessons at industry events to accelerate adoption and refine approaches. He said that clear metadata, integrated platform services for agents, and governance processes for code generation are the foundation steps organisations should address before scaling agent deployments. Content on BlockPort is provided for informational purposes only and does not constitute financial guidance. Blockport Company strive to ensure the accuracy and relevance of the information Blockport Company share, but Blockport Company do not guarantee that all content is complete, error-free, or up to date. BlockPort disclaims any liability for losses, mistakes, or actions taken based on the material found on this site. Always conduct your own research before making financial decisions and consider consulting with a licensed advisor. For further details, please review its Terms of Use, Privacy Policy, and Disclaimer.

The Fast Mode
Jun 11th, 2026
Sparkle, Xebia partner to accelerate AWS cloud adoption for European research & education institutions.

Sparkle, Xebia partner to accelerate AWS cloud adoption for European research & education institutions. Sparkle, the first international service provider in Italy and among the top global operators, and Xebia, a global AI-first digital transformation and engineering company based in the Netherlands, announced their partnership designed to help research and education (R&E) institutions accelerate their adoption of AWS cloud services and unlock greater value from digital innovation initiatives. Sparkle holds the highest-ranked position for AWS services under the OCRE 2024 Framework, a cloud procurement framework managed by GÉANT, the pan-European network and service provider for R&E. The framework provides eligible institutions (universities, research centers, education providers, public-sector organizations and non-profits across 39 countries) with pre-tendered access to cloud services, thus removing administrative procurement complexity, and offering a fast and cost-effective path to cloud service adoption. By partnering with Xebia, Sparkle closes the gap between access and execution, offering a single entry point for organizations seeking to move beyond experimentation and build a scalable, secure cloud infrastructure. Xebia, in fact, brings implementation expertise, helping institutions translate cloud availability into production-ready AWS environments. Its services span cloud strategy and architecture, compliant landing zones, AI and machine learning, high-performance computing (HPC), data platforms, and managed cloud services. The agreement covers Belgium, Denmark, Germany, Luxembourg, the Netherlands, Poland, Sweden, Switzerland and the United Kingdom, where the two companies will jointly support eligible research and education institutions in their cloud transformation initiatives. Annalisa Bonatti, Vice President Enterprise at Sparkle Sparkle is committed to helping the European research and education community access cloud services through a secure, compliant, and cost-effective model. We are pleased to partner with Xebia to help institutions transform cloud access into tangible outcomes. Xebia's AWS expertise further strengthens our ability to support universities and research organizations in adopting cloud technologies for AI, data, high-performance computing, and modern digital infrastructure. Bart Verlaat, Managing Director Xebia Cloud Benelux Research and education institutions are under pressure to modernize, but many still face practical barriers when moving from cloud experiments to scalable, secure environments. Together with Sparkle, we can help institutions move faster from ambition to implementation - whether that means building compliant AWS landing zones, enabling AI and machine learning use cases, modernizing research infrastructure, or supporting high-performance computing workloads. Ray Sharma is an Industry Analyst and Editor at The Fast Mode. He has over 15 years of experience in mobile broadband technologies and solutions, conducting research and analysis on various technology segments and producing articles and write-ups on the latest developments within the sector. He is also in charge of social media engagement and industry liaisons. The Fast Mode 9658 likes TWEETS 28.4K FOLLOWING 3479 FOLLOWERS 13.2K