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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The Partner GTM Manager is responsible for managing go-to-market programs and field execution with our sales teams to exceed revenue targets and drive customer success.
Responsibilities include:
Success Profile:
#LI-LP1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI.
In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.
How you’ll make an impact
What you’ll need to be successful
What will make you stand out
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The Customer Success team at Dataiku is focused on accelerating adoption and business outcomes by guiding customers on their fastest path to value with Dataiku. By leveraging deeply consultative skills and strong product knowledge, Senior Customer Success Managers align with customers throughout their journey to understand their desired business outcomes, empower them to maximise the value of their existing use cases, and optimise for growth into new use cases across their business – ultimately working to ensure continuous value and return on their Dataiku investment.
Senior Customer Success Managers play an integral role in our business, serving as the customer’s main point of contact and the liaison between customers and Dataiku’s internal teams (including Sales, Services, Product Management, Marketing, among others). CSMs ensure cross-functional alignment to deliver value in a streamlined way, aligned with desired customer outcomes and use-case metrics. Their chief focus is on mutual success and growth.
Key Areas of Responsibility (What You’ll Do)
Experience (What We’re Looking For)
You may be a good fit for this role if you:
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We’re looking for an Enterprise Account Manager to manage and grow a named book of business within the enterprise segment, covering organizations with $1B–$5B in revenue. In this quota-carrying, full-cycle sales role, you will drive customer retention and expansion across existing Dataiku accounts and pursue high-potential net-new opportunities to grow your customer base.
You’re customer-obsessed and deliver technical and business outcomes. You’ll take a land-and-expand approach: build strong stakeholder relationships, map the account, uncover whitespace, and lead the transition to our new support model to drive adoption and growth.
What you’ll do:
What we’re looking for:
Experience:
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The opportunity:
Enterprises are shifting from using data for insight to deploying AI for continuous, high-stakes operational decisions. In many core functions, such as manufacturing operation, supply chain, and financial risk, decision logic has long escaped core systems into fragile custom code and manual processes. Agentic AI intensifies the pressure to change — but also exposes the limits of existing architectures: agent sprawl, rising costs, governance risk. Adding agents on top of legacy workflows does not scale.
This creates a new category above agents: Reasoning Systems — domain-specific, end-to-end decision processes that orchestrate data, models, rules, agents, and human judgment around explicit business workflows. Dataiku is uniquely positioned to lead it: already embedded at the data and ML layer of complex, regulated environments, operating as an open control plane across systems, clouds, and AI stacks.
The role:
Dataiku is hiring a VP of Reasoning Systems to scale this business unit based on newly released products. This is a function across Strategy, Product, Marketing, Sales, and Operations. You will define the category, design the go-to-market and delivery model, and run the business with full accountability for growth.
Directly, you will lead a team of 10+ seasoned Industry Solutions leaders— domain experts already embedded with customers across manufacturing, supply chain, and financial risk. Indirectly, you will benefit and leverage the exceptional talent in Dataiku data science, AI Engineering, and Software Engineering teams to build the best product and customer experience.
Given the long term perspective we associate with this activity you will report to the Product organization, with significant direct work with the CEO of the company, and other C-level executives.
What you will do:
Own Dataiku's Reasoning Systems vision, positioning, and narrative — internally and with customers, analysts, and the market.
Set vertical priorities (Manufacturing Operations, Supply Chain, Financial Risk first) and the framework for expanding to new domains.
Be the external face of the category: executive briefings, keynotes, analyst engagements.
Design the pilot-to-system commercial model: time-boxed pilots with upfront conversion criteria tied to production pricing.
Define the buyer profile (CIO, COO, Domain Leaders), funding sources, sales plays, and qualification criteria. Launch with existing customers; expand once repeatability is proven.
Define the engagement model combining productized orchestration, governance, and human-in-the-loop control with structured services generating repeatable, scalable assets, not bespoke consulting. Leverage capacity from our vast pool of engineering and services talent.
Partner Product and Engineering to deliver the Reasoning Systems product layer: process orchestration, activity controls, evaluation frameworks, governance tooling, and human-in-the-loop oversight.
Lead a team of 10+ Industry Solutions leaders and AI Solutions Consultants — seasoned domain experts across the target verticals.
Set team structure, staffing plans, and skill roadmap aligned to strategic priorities. Create the conditions for each person to do their best work.
Build a product management mindset across the team: every engagement should produce something reusable.
Lead key customer executives conversations to drive opportunities and high impact transformation delivery Engage with market events to forge awareness and thought leadership on reasoning systems
Own Reasoning Systems revenue, costs and growth targets. Reasoning Systems is a global multi-billion opportunity in enterprise transformation, and you have the task to create a new pillar of the company business.
Who you are :
#LI-JR1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for a high-energy, strategic Enterprise Account Executive to join our growing ASEAN team based in Singapore! In this role, you will be the driving force behind Dataiku’s expansion into Southeast Asia, with a primary focus on the Thailand market and a secondary focus on Malaysia.
You will engage with large enterprises to help them develop a more efficient, AI-driven approach using our Data Science Studio (DSS) platform. As an Enterprise AE, you are responsible for the entire sales cycle—from initial outreach to closing—while leveraging cross-functional resources in Marketing, Product Management, and Engineering to ensure customer success.
#LI-CM
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
Develop engineering expertise within Snowflake for data engineering and security/governance features
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
Build & maintain data quality metrics & observability to help drive data quality standards
Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
Troubleshoot data pipelines, platform automations, data access system.
Help field and troubleshoot various community questions and challenges
Own, maintain and enhance data operation processes, monitoring & data quality systems
Design data models for both short term and long term use cases to support data warehouse scalability
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
Perform root cause analysis on often complex errors to help ensure data pipeline availability
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
Proactively drive innovation internally with bringing ideas for platform and process improvements
Help contribute to the ongoing documentation of internal systems and processes
2+ years of relevant experience in Data Engineering / Data Platform Engineering
Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake a plus
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
Experience in building data models
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.
You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client-facing role.
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:
Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting
Be an expert level engineer within Snowflake for data engineering and security/governance features
Build & maintain python & SQL based platform automation process
Build & maintain data quality metrics & observability to help drive data quality standards
Design data models for both short term and long term use cases to support data warehouse scalability
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery
Build & maintain DataOps process for SDLC delivery
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
Perform root cause analysis on often complex errors to help ensure data pipeline availability
Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.
Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices.
3+ years of relevant experience in Data Engineering / Data Platform Engineering
Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake strongly desired
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
Strong understanding of data architecture & data modeling concepts
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for an experienced Enterprise Account Executive to join our team! Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.This individual can be based in the US or in Brazil.
We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.
The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.
#LI-LP1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced rapid growth and steady market demand. This is an individual contributor position, newly added due to business expansion.
We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.
As an Enterprise Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.
What you'll need to be successful -
#LI-LP1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The Partnerships & Alliances team is the connective tissue between Dataiku and the broader AI ecosystem — Global Systems Integrators (Accenture, Deloitte, PwC, Capgemini), Regional Systems Integrators, and Tech Alliances (AWS, Microsoft, Google, Snowflake, Databricks, Nvidia). While our Partner Sales Managers (PSMs) act as the strategic advisors to the field, we're seeking a Partner Sales Manager Intern to be the operational engine that powers everything behind the scenes.
In this role, you'll help architect the visibility of partner engagement and ensure our internal sales teams (AEs, SEs, CSMs) have the resources, data, and communications they need to work effectively with our partner ecosystem. You'll gain hands-on exposure to enterprise partnerships, GTM operations, and the inner workings of a fast-scaling AI company.
Communication & Brand Advocacy
Partner Onboarding & Lifecycle Management
Operational Excellence
#LI-AS1
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We're looking for an AI Healthcare & Life Science Solutions Consultant to join Dataiku’s Business Solutions department with a strong focus on supporting US business expansion. The role reports to the Health & Life Science Sr. Director. Your mission will be undertaken in close partnership with Dataiku’s broader Business Solutions team, including the Life Sciences Solution AI Engineers, as well as with Dataiku’s core teams: Sales, Customer, Partnership, Product and R&D.
You will support three essential missions:
(1) Feed our strategic vision towards Healthcare & Life Sciences and how to further accelerate our growth in this industry. This will involve developing a deep understanding of Dataiku’s footprint, strong convictions as to analytics, ML and agent value for priority domains, current and target positioning in the ecosystem, and supporting the right plans to meet our ambitions.
(2) Be a Dataiku SME on Healthcare & Life Sciences, and act as a gap bridger between precise industry needs, AI and Dataiku as a product. You will directly support clients and prospects as a trusted expert and support the development of the right assets and engagement support to boost GTM effectiveness in Life Sciences. In practice, you will:
(3) Contribute to the identification, scoping, and successful roll out of Dataiku Solutions aligned to Healthcare and Life Sciences needs, with the goal of maximizing Dataiku’s value delivery.
Who you are:
#LI-JR1
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Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.
How you'll make an impact
What you'll need to be successful
How you'll stand out
What does the hiring process look like? #LI-Hybrid #LI-AN1
#LI-JR1
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.
How you'll make an impact
What you'll need to be successful
How you'll stand out
What does the hiring process look like? #LI-Hybrid #LI-AN1
#LI-AH1
#LI-JR1
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Join us and help shape the future of Everyday AI.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Reporting directly to the Area Vice President of APJ Partnerships, the Senior Partner Sales Manager for ASEAN will be instrumental in driving Dataiku's growth in ASEAN. Serving as the partner leader to the regional Area Vice President, the role focuses on developing, executing, and scaling Dataiku’s partner ecosystem. The primary goal is to accelerate the region’s growth by significantly extending Dataiku’s market coverage, capability, and capacity.
Responsibilities include (but are not limited to):
Exceed partner revenue goals on partner sourced, influenced and pipeline generation.
Build and execute the partner territory plan for the region, inclusive of all partner types and routes to market, focusing primarily on resellers and key system integrators (SIs).
Drive partner engagement in customer accounts and build a pipeline of opportunities through partners applying business governance layers including regular partnership cadences, Quarterly Business Reviews and Executive Touchpoints.
Ensure the development of sales and technical skills within the partner ecosystem to drive partner success through structured enablement approach.
Oversee the development and delivery of joint marketing campaigns and field engagement with partners and field teams to generate pipeline.
Alignment of internal stakeholders across the business in Sales, Marketing, Services, Customer Success and Product.
Establish executive relationships with the leadership of key partners across the region and facilitate partner engagements with members of Dataiku leadership team.
Cultivate the long-term development of a partner's business goals and visions with Dataiku.
Success Profile:
10+ years of strong, extensive experience strategizing and growing resellers, key SIs, tech alliances and cloud partners in ASEAN contributing significantly to the business goals.
Proven track record of leading scalable and effective end-to-end partner maturity lifecycle from recruit, nurture, expand and scale.
A collaborative and effective communicator and connector that bridges the goals of the partners and vendor driving exceptional and consistent results and outcomes.
Problem solving mindset with experience leading a team of different skillsets and profiles the key being partner sales engineering and partner marketing.
#LI-AS1
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The Dataiku Senior Customer Success Manager is responsible for serving a portfolio of large enterprise accounts for their assigned territory. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software & services. The Senior Customer Success Manager serves as the internal voice of the customer while working with other Dataiku teams and partners to exceed customer expectations. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention.
How you'll make an impact:
What you'll need to be successful:
#LI-Hybrid #LI-SC1
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
In Business Solutions, we are building apps that leverage Dataiku’s capabilities in data and AI, focused on key enterprise use cases that need their own, user-focused UI’s and flows. We do this for customers in verticals such as Manufacturing, Life Sciences and Finance, powering key processes within their business- and operating models. In short: our work truly is part of “everyday AI”!
How you’ll make an impact
What you’ll need to be successful
What does the hiring process look like?
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
As a Sr Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end, you'll work close to the business, turn real problems into working software, and see your solutions through from first conversation to production.
Agentic AI Solution Development & Integration
Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed.
Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate.
Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality.
Implement Retrieval-Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities.
Stakeholder Engagement & Delivery
Work primarily with the “Revenue” organisation, Sales, BDR, Customer Success, Solutions Engineering, Professional Services, Sales Operations and Marketing (approximately 75% of the role), and apply proven solutions and approaches more broadly across the organisation (approximately 25%).
Engage stakeholders to gather business requirements, then go further: identify the underlying user pain those requirements represent, and design solutions that address both the stated need and the deeper problem.
Own projects end-to-end, from requirements intake and solution design through to build, deployment, and handover.
Agent & Tool Development
Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions.
Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out-of-the-box patterns to deliver solutions tailored to specific business problems.
Build, publish, and consume MCP (Model Context Protocol) servers to enable agent-to-tool integration across systems, including designing custom MCP servers where needed.
Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built-in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production.
AI Governance & Evaluation
Design and maintain evaluation frameworks (evals) for LLM-based systems, measuring accuracy, latency, cost, and reliability in production.
Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions.
Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards.
Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption.
Web Application Development
Create front-end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat-based interfaces, or standalone applications built with Vue.js and Node.js.
Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive.
Continuous Learning
Provide product feedback to the development team to improve the platform.
Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols.
Technical Proficiency
Must have strong Python skills (including familiarity with typical data science and AI engineering libraries).
Must have hands-on experience building agentic AI systems, multi-agent orchestration, tool chaining, autonomous decision-making, and production deployment of AI agents.
Experience with modern agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, or similar); familiarity with LangChain is still relevant but not sufficient on its own.
Understanding of RAG architectures (vector databases, embedding strategies, agentic RAG, GraphRAG) and when to apply each approach.
Familiarity with MCP (Model Context Protocol) for agent-to-tool integration, or demonstrated ability to quickly adopt new integration standards.
Experience with structured outputs, function/tool calling, and prompt engineering across multiple LLM providers.
Web development fundamentals (HTML, CSS, JavaScript); experience with Vue.js and Node.js preferred.
Exposure to AI evaluation practices, building evals, monitoring model/agent performance in production, and iterating based on metrics.
Comfort with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, or similar).
Familiarity with Dataiku a bonus.
Educational & Professional Background
Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related field; equivalent experience also considered.
Demonstrated ability to integrate multiple technologies, optimize workflows, and deliver user-friendly AI solutions in a production setting.
Soft Skills
Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders.
Problem-solving mindset with a passion for innovation and delivering measurable business value.
Openness to learning new tools (e.g., Dataiku) and adapting to a rapidly evolving AI landscape.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for an experienced Strategic Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.
We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.
As a Strategic Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.
What you'll need to be successful -
10+ years experience in software field sales
Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
Background in selling innovation and new concepts to large Enterprises
Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
Good articulation of competitive positioning
Comfortable traveling 30 to 50%
Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
Early start-up experience is a plus!
#LI-LP1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.
We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.
As an Enterprise Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.
What you'll need to be successful -
#LI-LP1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
How you'll make an impact
Dataiku is looking for an experienced Enterprise Account Executive to join our team! Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, supporting FSI accounts in the North East!
We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.
The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.
What you'll need to be successful
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.
Key Areas of Responsibility (What You’ll Do)
Experience (What We’re Looking For):
Bonus points for any of these:
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.
This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.
Initial call with a member of our Technical Recruiting team
Video call with the Field Engineer Hiring Manager
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with Field Engineer Team members
Final Interview with the Sr Director Field Engineering
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for a Senior Sales Engineer to join our team in Singapore. In this role, you will get hands-on experience applying the latest big data technologies to business uses cases with companies whose names you hear and products you use everyday. Our ideal candidate is comfortable learning new technologies while being able to explain their work to both technical and non-technical stakeholders.
You will be operating as a Senior Sales Engineer, with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.
How you'll make an impact:
What you'll need to be successful:
#LI-Hybrid #LI-SW1
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
How you’ll make an impact:
As a Site Reliability Engineer (SRE) with advanced expertise in networking and security, you'll join our Cloud team developing and operating the Dataiku managed offering. Your role involves working on a wide variety of tasks, from architecting and maintaining robust network security measures (PrivateLink, Ipsec, etc.) to ensuring compliance with industry standards and regulations, monitoring, and deploying our cloud offering.
You are responsible for building and operating a reliable, secure, and cost-efficient infrastructure to support the Dataiku SaaS offering. This role is an opportunity to be part of a project that is central to our company’s vision and has a strong and direct impact on the final outcome. You will work with the most promising cloud technologies and receive valuable mentorship from experts from our core team. The position is at the NYC Office.
Some expected outcomes for this role:
What you need to be successful:
What does the hiring process look like?
#LI-Hybrid
#LI-On-site
#LI-AH1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Solutions Consultant specialized in Retail and CPG with deep expertise in Supply Chain to join Dataiku's Business Solutions team. You will act as a Subject Matter Expert for Retail and CPG, fueling the development of data, analytics, and AI solutions relevant to firms in that space — from concept to design to go-to-market.
Your role will be key in supporting the accelerated development of Dataiku in the Retail and CPG space and partnering with firms across the industry on their ambitious transformation trajectories. Your mission will run in tight partnership with all of Dataiku's key teams: Sales, Customer, Partnership, Product, and R&D.
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
You will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features.
Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run, you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.
If you're ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we're waiting for you!
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success.
How you’ll make an impact
What you’ll need to be successful
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.
We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.
As an Enterprise Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.
What you'll need to be successful -
#LI-LP1
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for an Enterprise Account Executive to join our growing team in South Korea! This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS. The Enterprise Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. He/She is likely to work cross functionally with Marketing, Product Management and Engineering.
How you'll make an impact:
What you'll need to be successful:
#LI-CM
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for an Enterprise Account Executive to join our growing team in Japan! This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS. The Enterprise Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. He/She is likely to work cross functionally with Marketing, Product Management and Engineering.
How you'll make an impact:
What you'll need to be successful:
#LI-Hybrid
#LI-FN1
#LI-JR1
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
How You'll Make An Impact
We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.
The Enterprise Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, you will work cross functionally with Marketing, Product Management and Engineering.
What We're Looking For:
#LI-CM
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
Co-develop production-level data science projects with our customers
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
You might be a good fit for the role if you have:
Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
The ability to clearly explain complex topics to technical as well as non-technical audiences
2 - 10 years of experience with Python and SQL
2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
Familiarity with data visualisation in Python and R
Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
Technical skills that may help you in the role:
Experience with Consulting and/or Customer-facing Data Science roles
Experience with Data Engineering or MLOps
Experience developing WebApps in JavaScript, RShiny, or Dash
Experience building APIs
Experience using enterprise data science tools
Passion for teaching or public speaking
#LI-AS2
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Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is focused on delivering meaningful outcomes with business analytics, AI/ML, and Gen AI. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you'll focus on technical programming to increase adoption through product enablement and one-to-many user engagement.
In this founding role for our Lower Enterprise segment, you will be the first CSE hire dedicated to customers with annual revenues between $1B and $10B. Covering all customers across AMER, we are looking for creative problem-solving to help build scalable frameworks that support a high volume of accounts. This role offers high flexibility and high expectations, as you will define the segment's strategy and help pave the way for future continental leadership opportunities.
#LI-AH1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for an Engagement Manager to join the team. The ideal candidate is an energetic individual who is passionate about deploying big data technologies and using data science to solve business problems, and who will efficiently help customers drive their projects to get the most out of Dataiku.
As a part of the Services team, the Engagement Manager is responsible for driving smooth client implementations of our product with our customer base. It requires skilled coordination of the deployment, training, and adoption of best practices, positioning users to derive the maximum value from the software, contributing to their data-driven operational success.
How you’ll make an impact
What you’ll need to be successful
What will make you stand out
#LI-Remote
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Are you passionate about the AI market and highly skilled in competitive analysis?
Dataiku is seeking a strategic, analytical, and action-focused competitive analyst to join our Competitive Intelligence team within Corporate Strategy.
In this critical role, you’ll help us develop a deep understanding of the competition, drive market differentiation, shape strategic battle plans, and create enterprise-wide impact.
Join us in shaping the future of enterprise AI! This is your opportunity to play a key role in one of the most transformative industries of the last 20+ years.
Building on our established CI foundation, you'll have strategic cross-functional impact in the rapidly evolving Agentic AI market.
This position is located in our New York or Denver offices.
How you’ll make an impact:
Analyze competitive moves and market dynamics, transforming critical insights into actionable strategies that inform market scenarios.
Present strategic analysis and actionable recommendations to Senior leadership, Technology, Marketing, and Revenue teams.
Support our go-to-market teams with competitive strategies that help us win more at scale. Directly support deals where needed.
Relentlessly collect field intelligence, including through active monitoring of the market, participation in conferences, developing an extensive network of field connections, and our win-loss program.
Work closely with Sales Enablement to scale the distribution of effective competitive training resources.
Ensure all CI content meets high-quality standards.
Independently lead research projects supporting our corporate strategy function.
What you'll need to be successful:
Bachelor's degree in a technology-related field or equivalent experience
7+ years in competitive intelligence, management consulting, product marketing, or related strategic roles, with 5+ years focused specifically on competitive analysis
Excellent analytical skills and a solid understanding of the technology markets, with the ability to detect, analyse, and proactively respond to competitive threats that impact sales performance
Proven track record of supporting sales success through competitive assets, deal support, and sales team coaching
Excellent written and verbal communication skills, with the ability to present effectively to diverse audiences, including account executives, sales engineers, technical product managers, and executives.
Strong organizational skills and ability to manage multiple priorities in a dynamic environment
Self-driven with a strong bias for action and a drive to enhance market positioning
Willingness to travel up to 20% for conferences, sales events, and meetings in New York and Paris offices
#LI-JR1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
We are looking for a Business Development Representative to join our growing team focused on the Italian market. As a Business Development Representative, you are responsible for driving Dataiku's business development activities across Italy. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We are looking for a results-driven, hands-on self-starter, motivated to constantly improve and optimize the process to drive performance.
Location: This role is focused on the Italian market. You can be based in our Milan office, or within our Mediterranean hubs in Madrid or Paris.
#LI-CM
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Integrating with all clouds, data platforms, AI services, and legacy systems, Dataiku is aggressively agnostic, providing its customers with full technology optionality.
Why Engineering at Dataiku?
Dataiku’s platform (on-prem, cloud, or SaaS) brings together the best of data and AI technologies. Our tech stack reflects our commitment to quality and innovation from the latest LLMs to strong involvement in open-source communities.
As People Business Partner for the Technology organization, you act as a strategic advisor to Engineering and Product leadership. Your mission is to strengthen organizational capability and ensure long-term retention of critical skills.
You will focus on workforce planning, structured career development, succession planning, and leadership enablement to support business growth and product delivery objectives.
What you’ll do:
Workforce planning & Organizational Efficiency
Partner with the Talent Acquisition team to anticipate hiring and capability needs
Identify critical roles and succession gaps
Support organizational design and role clarity initiatives
Ensure compensation fairness in collaboration with the Total Rewards team
Career Development & Talent Growth
Design and implement structured career paths for Engineering & Product teams
Develop internal mobility pathways for employees transitioning into Tech roles
Coach managers on performance management, feedback quality, and development planning
Provide coaching to employees on career progression and development plans
Retention & Engagement
Use attrition and engagement data to recommend corrective actions
Develop proactive retention plans for key contributors and high potentials
Partner with managers and Employee experience teams to design initiatives strengthening team cohesion
Define recurring engagement initiatives aligned with Tech team dynamics
Leadership Partnership & Operational Support
Act as a trusted advisor to Engineering and Product leaders
Support managers in navigating team dynamics and performance challenges
Serve as liaison between employees and HR Operations for administrative matters
Work on cross-functional People projects
Profile
Experience in People Business Partnering within fast-paced or technology-driven environments
Trusted advisor with the ability to influence, challenge, and guide stakeholders constructively
Data-driven thinker, committed to turning HR data into strategic insights
Structured, proactive, and comfortable operating in matrix organizations
Why join this role ?
This is an opportunity to directly shape the future of Dataiku’s Technology organization by designing scalable talent systems, strengthening leadership capability, and enabling teams to deliver meaningful product innovation at scale all within a fast-growing, international, collaborative, and inclusive environment.
#LI-JR1
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for a Sales Engineer to join our team, covering Italy and Spain. In this role, you will get hands-on experience applying the latest big data technologies to business use cases with companies whose names you hear and products you use every day. Our ideal candidate is comfortable learning new technologies and can explain their work to both technical and non-technical stakeholders.
You will be operating as a Sales Engineer with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.
How you'll make an impact:
What you'll need to be successful:
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for a Sales Engineer to join our team, covering Italy and Spain. In this role, you will get hands-on experience applying the latest big data technologies to business use cases with companies whose names you hear and products you use every day. Our ideal candidate is comfortable learning new technologies and can explain their work to both technical and non-technical stakeholders.
You will be operating as a Sales Engineer with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.
How you'll make an impact:
What you'll need to be successful:
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI.
In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.
How you’ll make an impact
What you’ll need to be successful
What will make you stand out
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We are looking for a Senior Customer Success Manager to join us in Frankfurt, Germany, as part of an exciting new team. The Dataiku Senior Customer Success Manager is responsible for serving a portfolio of large enterprise accounts for their assigned territory. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software & services. The Senior Customer Success Manager serves as the internal voice of the customer while working with other Dataiku teams and partners to exceed customer expectations. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention.
How you'll make an impact:
What you'll need to be successful:
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
As the Marketing Specialist – South Europe, you will support the planning and execution of marketing programs and campaigns that drive engagement, brand awareness, and pipeline growth in the region. You will work closely with our sales team (Account Executives, Customer Success Managers, and Business Development Representatives) as well as global marketing functions to align regional efforts with overarching business objectives.
This role is hands-on and execution-focused, ideal for a marketing professional with practical experience who is looking to develop deeper expertise in B2B marketing within a fast-paced environment.
Ready to apply?
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The Dataiku Strategic Customer Success Manager is responsible for serving a portfolio of large enterprise accounts for their assigned territory. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software and services. The Strategic Customer Success Manager serves as the internal voice of the customer while working with other Dataiku teams and partners to exceed customer expectations. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention.
Responsibilities include (but are not limited to):
Actively serves a portfolio of assigned accounts including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing and technology.
Gains an understanding of client’s use cases and desired business outcomes and help a large number of licensed users achieve these goals via Dataiku's Product and Services.
Help clients translate the business use cases they’re trying to crack into data science solutions and works with the customers to provide value assessments around the use cases and efficiency improvements.
Provides guidance to customer organizations on how to leverage Dataiku to implement data science projects from design to production while actively ensuring adoption and growth strategies are in place and being worked.
Implements customer engagement strategies including consistent Success Reviews, user community events, and customer participation in Dataiku community events to ensure customer engagement and satisfaction.
Leverages customer health analytics to identify customer expansion opportunities and downsell and churn risks.
Collaborates with Dataiku’s Sales team to ensure successful renewals and to expand customer relationships.
Success Profile:
Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts, and IT.
At least 7-15 years of prior account management, customer success, consulting experience, preferably within enterprise software or data science.
Strong verbal/written communication & presentation skills; extraordinary listening skills
Strong knowledge of data science project lifecycle and a proven record of supporting organizations in their AI maturity curve.
#LI-AH1
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
What to know about the Dataiku Support Team
At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function.
How you’ll make an impact
We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.
Some expected outcomes for this role
Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels
Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement
Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution
Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise
Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment
What you’ll need to be successful
At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
Experience with cloud platforms such as AWS, Azure, and GCP
Experience with Docker and Kubernetes
Collaborative and helpful mindset with a focus on always working as a team
A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors
Proficiency working with Unix-based operating systems
Experience with relational databases (or data warehouses like Snowflake) and SQL
Ability to read and write Python or R code
What will make you stand out
Experience with big data technologies, such as Hadoop or Spark
Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos
Experience with ML models and LLMs
What does the hiring process look like? #LI-Remote #LI-AN1
Initial call with a member of our Technical Recruiting team
Video call with the Technical Support Manager
Technical Assessment to show your skills (Home Test)
A technical interview with the TSE team to build on the assessment you completed
Final Interview with the VP Technical Support
Ready to apply?
Apply to Dataiku
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Job Overview
We are seeking a motivated and detail-oriented Accountant to join our finance team in a hybrid working environment, with two set in-office days per week. The accountant will assist with day-to-day accounting tasks, ensure accurate financial records and support month-end and year-end closing processes. This role is ideal for a newly qualified accountant, or someone working for their qualifications.
Dataiku is part of a US incorporated group and this role would provide exposure to USGAAP and other European accounting standards, along with experience of entities in various EMEA locations.
Key Responsibilities
Hybrid Work Expectations
Skills & Qualifications
Required:
Preferred (but not required):
Personal Attributes
Ready to apply?
Apply to Dataiku
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.
How you’ll make an impact
This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.
As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
What you need to be successful
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.
How you’ll make an impact
This position is either onsite/hybrid from our Amsterdam office or full remote from any part of Netherlands.
As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
What you need to be successful
Ready to apply?
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.
How you’ll make an impact
This position is either onsite/hybrid from our London office or full remote from any part of the UK.
As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
What you need to be successful
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