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:

• Execute the field partner plan for the designated regions, covering various partner types and routes to market.
• Collaborate with a team of Partner go-to-market field professionals to drive partner engagement in customer accounts to cultivate and advance pipeline of sales opportunities involving partners across the region.
• Contribute to the continuous development of sales and technical skills within the partner ecosystem, fostering demand and ensuring customer success.
• Collaborate on the development and execution of joint marketing campaigns and field engagements with partners and Dataiku field teams.
• Contribute to the coordination of the development of industry-specific (e.g., Retail) and departmental-specific (e.g., Office of Finance) solutions with partners, aligning with their areas of expertise, and supporting in creating sales plays to apply these solutions in joint sales motions.
• Build and maintain relationships with internal stakeholders across various business functions, including Sales, Marketing, Global Services, Customer Success, and Product.
• Cultivate executive relationships with the leadership of key partners across the region, facilitating partner engagement with other members of the Dataiku leadership team.
• Collaborate with cross-functional Dataiku leadership to contribute to the scaling of the ecosystem of partnerships.
• Represent Dataiku at industry events, embodying and upholding Dataiku’s core values.

Success Profile:

• 5+ years experience in developing partnerships and revenue-generating partner relationships.
• Experience in AI, big data, analytics, data science, BI/DW and data integration. 
• Strong belief in a customer-centric selling philosophy and applying a consultative approach in customer/partner interactions.
• Background in positioning innovative solutions.
• Strong ability to develop joint value propositions with partners and to cultivate champions within partner organizations.
• Ability to articulate competitive positioning and differentiation.
• Strong presentation, negotiation, and business planning skills.
• Desire to work in a fast-paced, collaborative environment with the ability to adapt to change.

#LI-LP1

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 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

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)

• Work with customers across KSA. 
• Own a portfolio of assigned accounts that may vary in market size, industry, and complexity, with a focus on ensuring successful onboarding onto Dataiku, increasing adoption, ensuring retention, growth, and overall customer satisfaction.
• Align closely with key customer stakeholders to ensure that the vision, implementation plan, and desired business outcomes established pre-sales are supported by clear objectives, action items, owners, and sponsors.
• Have a strong command of Dataiku’s unique value proposition, the business value our key solutions drive, our approach to operationalising Everyday AI, and common use cases and best practices. Be able to effectively leverage the above to guide customers on their journey with Dataiku.
• Keen ability to develop a deep understanding of a customer's business, use cases, and outcomes in order to guide them to achieve these via Dataiku's product and services.
• Continuously advise customers on leveraging Dataiku to implement data science projects from design to production.
• Monitor customers’ achievement of desired outcome and value, consistently and effectively telling the story of both to internal stakeholders and externally to key customer stakeholders.
• Establish regular touchpoints with assigned customers per established best practices, to review progress against strategic business and technical product objectives.
• Leverage Customer Adoption & Health analytics to identify potential risks or opportunities for expansion, with a focus on translating this data into actionable advice.
• Effectively prioritise and orchestrate the resolution of customer requests or issues.
• Develop trusted and collaborative relationships with internal stakeholders and business partners, including Sales, Sales Engineering, Services, Support, Partnerships, Product, and Marketing, among others.
• Champion customers internally in order to mitigate risk, improve customer experience, drive to value outcomes, and unlock growth. 
• Stay current on Dataiku’s products, competitive landscape, & data science trends.
• Embrace and contribute to the Customer Success team methodologies.

Experience (What We’re Looking For)

• Fluency in English and native Arabic are a must-have.
• Minimum seven (7) years of professional experience in customer success, technical account management, or client relationship management roles with a demonstrated history of increasing adoption, retention, and customer satisfaction.
• Experience managing a fast-growing book of accounts, with account sizes ranging from ~$200k to multi-million dollar ARR across the Forbes Global 2000 and beyond.
• Experience with KPIs such as Gross Dollar Retention, Net Dollar Retention, Renewal Rate, Logo Retention Rate, NPS, and CSAT.
• Experience working collaboratively across Professional Services and Partner motions.
• Track record of successfully navigating ambiguity, building consensus, fostering accountability, and working with urgency to deliver customer outcomes.
• Strong written and oral presentation skills, with the ability to effectively engage both business and technical stakeholders (from Analyst to C-level).
• Confidence in serving multiple customer stakeholders and working to build communities of champions/advocates across large organisations.
• Working knowledge of big data technologies such as Hadoop and Spark is preferred.
• Project management and storytelling skills.
• Strong technical, analytic, and problem-solving skills.

You may be a good fit for this role if you:

• Have a never-ending intellectual curiosity, are detail-oriented, and analytical
• Have experience in hyper-growth, product-based technology companies
• Are passionate about technology, the data and analytics space, and enjoy learning new solutions, features/functionalities and translating these into solutions that drive business value for customers
• Understand the importance of being a self-motivated team player 
• Show an appreciation for nuance and a desire to build consensus in a diverse and multicultural environment

#LI-Remote

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:

• Retain & grow customers: drive adoption and value realisation, identify risk early, and protect renewals.
• Deeply understand your assigned customers and develop a strategy to identify and engage with all buying centres
• Acquire new customers: convert inbound and execute selective, repeatable outbound motions to grow the number of customers in your territory.
• Maintain strong forecast accuracy, CRM hygiene, and deal execution across your pipeline.
• Lead internal alignment for your territory with Renewal Managers, ADRs, CSEs, SEs, Partner Managers and Services.
• Lead exec alignment: run QBRs/QSRs and align internal teams to deliver outcomes

What we’re looking for:

• Solution sales mindset and strong relationship-building with new and existing stakeholders
• Strong command of structured qualifications and accurate forecasting.
• People-focused communicator who collaborates well cross-functionally
• Partner-first operator who aligns internal teams and partners to deliver outcomes and growth. 
• Ownership: driving yourself and aligning others, like the business is yours: pipeline to close.
• Credible trusted advisor to educate prospects and customers on the value of AI and analytics solutions
• Ability to tackle hard problems alongside great people, using AI to create measurable impact.
• Ability to engage with Line-of-Business stakeholders to uncover critical business pains, moving beyond purely technical IT discussions.

Experience:

• Proven closing experience in B2B SaaS (or similar), owning pipeline end-to-end
• Track record of driving renewals and expansion within a book of business
• Confident with structured discovery, qualification, and repeatable prospecting motions
• Experience selling into Health Care and Life Sciences is an added bonus!

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:

• Define the category

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.

• Lead the Go-To-Market

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.

• Build the Delivery Model

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.

• Drive the Product Roadmap

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.

• Manage and grow the Team

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.

• Engage at the Executive level

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 the Business

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 : 

• You operate at C-suite level and can drive decision-making on high-stakes, ambiguous programs.
• You are a doer: as comfortable going deep on a deal or a delivery challenge as you are setting strategy.
• 20+ years at the intersection of business process transformation and enterprise technology — you understand what real operational AI deployment looks like for the largest, most demanding companies in the world. 
• You have built and scaled a new business, product line, or category at a technology company. You know how to go from zero to repeatability.
• You have led a consulting or solutions delivery activity and understand the discipline required to balance services delivery with product scalability.
• You have driven software product roadmaps and understand what it takes to ship ambitious, multi-stakeholder technology programs.
• Outstanding communicator — able to shape and deliver compelling narratives to technical and business audiences alike.

#LI-JR1

About the Role

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.

How You’ll Make an Impact

• Market Expansion: Drive strategic revenue growth through proactive outreach and territory planning within the Thailand and Malaysia enterprise sectors.
• Vision Alignment: Develop C-Level vision matches with prospects, cultivating internal champions and aligning diverse stakeholder groups.
• Thoughtful Education: Educate complex organizations on the transformative value of Dataiku and Collaborative AI in a consultative, value-driven way.
• End-to-End Management: Navigate multiple customers simultaneously through various stages of the Dataiku buying cycle (Discovery to Close).
• Cross-Functional Collaboration: Serve as the "voice of the customer," collecting feedback to drive continuous improvement across Product, Legal, and Security teams.
• Strategic Positioning: Provide tailored recommendations based on specific business needs and regional usage patterns within the ASEAN landscape.

What You’ll Need to Be Successful

• Experience: 10-12 years of experience in software field sales, specifically selling into large enterprises within Southeast Asia.
• Territory Expertise: A proven track record of success in the Thailand and/or Malaysia markets, with an established network of enterprise contacts.
• Language Skills: Business-level English is required; proficiency in Thai is highly advantageous given the primary market focus.
• Innovation Mindset: Background in selling "new concept" technologies or innovative software (Big Data, Analytics, AI/ML, or Data Integration).
• Communication Mastery: Advanced interpersonal skills with the ability to articulate complex competitive positioning clearly.
• Adaptability: A growth mindset with the ability to thrive in a fast-paced, evolving "scale-up" environment.
• Domain Knowledge: Preferred expertise in Data Science, BI/DW, or Data Integration.

#LI-CM

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.

What you’ll do: 

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

Requirements: 

• 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

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.

What you’ll do: 

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. 

Requirements : 

• 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

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 -

• 10+ years experience in software field sales
• Fluent in Spanish
• 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 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.

How You'll Make an Impact

Communication & Brand Advocacy

• Lead the end-to-end creation and distribution of a Quarterly Partner Newsletter, tailored for two distinct audiences: an internal edition highlighting KPIs and team wins for stakeholders, and an external edition showcasing successes and metrics to strengthen partner trust.
• Draft and finalise quarterly "Win Wires" — strategic success stories celebrating major deal closures and partnership milestones across the organisation.
• Track, gather, and synthesise data (KPIs, deal progress, sourced/influenced GNARR) to fuel reporting and ecosystem visibility.

Partner Onboarding & Lifecycle Management

• Own and streamline the end-to-end partner onboarding journey, from contract setup in Ironclad through to first certification.
• Ensure partner data (tiers, regions, specialisations) is accurately reflected across Salesforce and Ironclad.
• Equip new partners with timely access to the partner portal, training, and tools they need to ramp quickly.

Operational Excellence

• Maintain dedicated Hyperscaler portals (AWS, Microsoft, Google) to ensure real-time visibility into shared opportunities, pipeline, and joint initiatives.
• Keep the Partner Capability Matrix and onboarding documentation current with new product offerings, service updates, and team announcements.
• Provide administrative support for partner event preparation and post-event follow-up in collaboration with Field Marketing and PSMs.
• Help synthesise feedback from Customer Success teams on partner performance to feed into business reviews.

What You'll Learn

• Ecosystem Strategy: How world-class enterprise software companies build, manage, and scale partnerships with GSIs, RSIs, and Hyperscalers.
• GTM Operations: Hands-on experience with the systems and processes (Salesforce, Ironclad, partner portals) that power a global partner motion.
• Cross-Functional Collaboration: Direct exposure to Partner Sales Managers, Account Executives, Sales Leadership, Field Marketing, and Partner Enablement teams.
• Mentorship & Networking: Work alongside senior Partnerships leaders and build meaningful connections across the Revenue organisation.

What You'll Bring

• Master's Degree
• Organised and detail-oriented, with a knack for making processes run smoothly and a high bar for data accuracy.
• Strong written communication skills — comfortable drafting newsletters, success stories, and partner-facing content.
• Tech-savvy and curious, quick to learn new tools (familiarity with Salesforce, Ironclad, or partner portals is a plus, but not required).
• Basic data skills — comfortable pulling reports or working with spreadsheets to track KPIs and engagement metrics.
• A proactive team player who's happy to roll up their sleeves on the admin work while keeping the bigger picture in view.
• Interest in enterprise software, AI, cloud, or the broader data ecosystem.

#LI-AS1

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:

• Support sales and customer activities on Life Sciences: help customer dynamics understanding, act as a key spokesperson for prospects and customers, supporting executive engagement building. 
• Articulate the specific value proposal of Dataiku for Life Sciences, and enable internal client facing teams in its articulating. 
• Leverage the capitalization of internal knowledge and client experiences on Life Sciences (adoption stories, use-cases, …) and contribute to development of relevant material.
• Boost Dataiku’s visibility on Life Sciences as an industry, as well as engage in the  execution of an impactful thought-leadership strategy. 
• Drive high impact Customer Engagements with key decision makers in Healthcare & Life Sciences accounts. 

(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. 

• Fuel the Solutions development pipeline through business experience, client workshops, market watch, partnership discussions. 
• Partner with the Solutions taskforce (Product, R&D, UX, Partnerships, Data Scientists …), jointly with the HLS Sr. Director,  in ensuring prompt development of  relevant projects, which could include: off-the-shelf solution design, customer-specific solutions, feature and application development, …
• Support general push on AI Solutions offering by contributing to  relevant documents, to enablement of teams, to customer interactions, to GTM material, …

Who you are:

• 10+ years experience in Healthcare and/or in Life Sciences, with a confirmed appetite for data, analytics and AI impact in the sector. You have worked within Healthcare and/or Life Science organizations, preferably in the US, and have owned the successful delivery of AI projects or built technology towards this objective. 
• You have a preciseunderstanding of Healthcare & Life Sciences value chain, including complex processes and regulations involved in health provider organizations like large hospital networks or specialized care centers and health payers, sophisticated frameworks embedded in pharma companies from R&D and Clinical Operations teams to sales force effectiveness.
• You have the capacity to adjust your communication to experts and non experts. You are passionate about people empowerment with data and AI. 
• Strong Business Development mindset: you understand the ins and outs of software acquisition, and are able to support plans towards business development ambitions. Experience in acquiring software in a Healthcare or Life Sciences organization and managing vendor relationship will be a plus.
• Solid solution management experience, with the capacity to outline user journeys, scope use-case, and support development end-to-end including organizing customer co-builds, testing and reviews. You will be involved in conducting detailed feature/solution scoping and validation. 
• Precise and effective in describing the continuum of ways in which data, analytics and AI can add value, from automation, pipelines and dashboards to machine learning and Generative AI. You have good understanding of agents and are able to project their potential as well as  evaluate their ROI.
• Proven track record working with diverse teams, and successfully engaging them on complex or specialized topics.
• Excellent communication skills (both written and oral), able to clearly articulate and present complex situations and concepts to varied audiences.
• Based in AMERICAS and able to travel both within that region (20% of the time) and occasionally  to other continents. 

#LI-JR1

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

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in German
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-JR1

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

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
• Dataiku platform architecture and deployment
• Platform operations and upgrades
• Best practices for platform usage
• Security, data management, and compute resources
• ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in Japanese
• Fluent English communication 
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-AH1

#LI-JR1

Scope of Work

• Follow Dataiku’s structured 30/60/90-day onboarding plan to ramp up effectively.
• Shadow Sales Engineers, Customer Success Managers, and Services consultants to build on-the-job proficiency.
• Lead and execute 1-to-many scaled programs (e.g., webinars, office hours, user coaching, enablement sessions).
• Develop reusable assets, such as demo projects, use cases, and technical presentations, tailored to specific industries or functions.
• Participate in direct 1:1 customer engagements alongside experienced team members to gain real-world exposure.
• Represent and promote the Dataiku Academy Program within your university, engaging lecturers and peers.
• Drive special initiatives and collaboration projects with cross-functional teams.

Requirements

• 6-month full-time internship
• Currently pursuing or recently completed a diploma or degree in Computer Science, Information Systems, or a related field.
• Academic or practical background in Data Engineering and/or Data Science, with exposure to AI/ML concepts.
• Strong communication skills and a desire to work directly with customers and cross-functional teams.
• Comfortable presenting, running workshops, or engaging in group discussions.
• Self-starter with a passion for technology, learning, and driving value for users.

What You’ll Gain

• Firsthand experience in one of the world’s leading AI platforms.
• Exposure to customer engagement strategies, solution development, and AI/ML real-world applications.
• Mentorship from experienced professionals in sales engineering, customer success, and professional services.
• Opportunity to build a portfolio of work (e.g., assets, demos, customer initiatives) that can support future career growth.
• A potential career pathway into a full-time role at Dataiku or with our broader partner ecosystem and customers.

Join us and help shape the future of Everyday AI.

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

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:

• 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.
• Gain 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 & Services.
• Help clients translate the business use cases they’re trying to crack into data science solutions.
• Partner with Dataiku Implementation Managers and Data Scientists to ensure successful deployment and engagement with Dataiku.
• Provide guidance to customer organizations on how to leverage Dataiku to implement data science projects from design to production.
• Implement customer engagement strategies including consistent Executive Business Reviews.
• Leverage Customer Health analytics to identify customer expansion opportunities & churn risks.
• Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals.

What you'll need to be successful:

• Fluent English is a must-have. Fluent German and French, or one of these, is required for the role
• Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT.
• At least 5-15 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-Hybrid #LI-SC1

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

• Build Innovative AI-Driven Applications: Design, develop, and deploy AI-powered applications that solve complex business problems, integrating Dataiku’s backend AI capabilities with user-centric, intuitive front-end interfaces.
• Work with Data Scientists and Industry Specialists: Collaborate with solutions engineers, data scientists, and industry experts to develop the best solutions for customers. Help define requirements and deliver state-of-the-art applications that meet user needs across different verticals such as finance, manufacturing, and life sciences.
• Empower Business Users: Create applications that allow expert users to work with large datasets and extract meaningful insights quickly and intuitively. Your goal is to bring complex data to life in the browser and simplify interactions with large-scale data sets.
• Drive Continuous Improvement: Take responsibility for the end-to-end lifecycle of applications—from PoC to production. Contribute to the maintenance and evolution of the tech stack and frameworks, and support new features and architecture improvements to ensure scalability and reliability.
• Collaborate Across Teams: Work closely with core teams to ensure high-quality, reusable components, provide best practices, and help make data scientists and business users autonomous in building solutions end-to-end.
• Contribute to Team Growth: Help mentor new team members, participate in interviews, and contribute to onboarding processes. Bring your expertise and enthusiasm to help grow a collaborative, inclusive, and innovative team culture.

What you’ll need to be successful 

• Full-Stack Development Experience: You have experience in full-stack software engineering, with experience taking an app from PoC to production. You are comfortable working across the stack—from the front-end user interface to the back-end infrastructure.
• Front-End Skills: Proficiency in modern reactive front-end frameworks like Vue.js (preferred), React, or Angular. You have a deep understanding of building user-centric, interactive web applications.
• Back-End Skills: Strong experience with backend development, especially with Python (FastAPI, Flask, etc.). You are familiar with RESTful API design and willing to adapt to Dataiku’s tech stack and best practices.
• Experience with Data-Intensive Applications: You understand the challenges of working with large datasets and designing high-performance, data-driven applications. Experience with analytics products or data platforms is a strong plus.
• Customer-Oriented Mindset: You have a strong focus on solving real-world problems for customers. You understand that building an effective product means diving deep into customer use cases, iterating based on feedback, and delivering the most relevant and efficient solutions.
• Curiosity: You are excited to learn, adapt, and take on new challenges. Whether it's discussing architecture, troubleshooting issues, or writing code, you are driven to make an impact and contribute to the team’s success.
• Tech Enthusiast: You’re genuinely passionate about AI and data-driven applications. You’re excited by the possibility of using cutting-edge AI technologies, like LLMs, to shape the future of business.

What does the hiring process look like?

• 45 min call with a Technical Recruiter
• Technical video interview with an Engineering Team Lead
• Take home assignment or Live Coding session
• 2 last interviews with VPs of Engineering

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.

How You'll Make an Impact

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.

What You'll Need to Be Successful

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.

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

 

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 -

• 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 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)

• Scope and co-develop production-level data science projects with our customers across different industries and use cases
• Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
• Provide strategic input to the customer and account teams that help make our customers successful.
• Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
• Lead technical data science projects pre-sales scoping and design appealing proposals
• Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage)
• Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
•  Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming
• Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
• Lead Junior Data Scientist technical interview
• Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year

Experience (What We’re Looking For):

• 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
• Over 5 years of experience with Python and SQL
• Over 5 years of experience with building ML models and using ML tools (e.g., sklearn)
• Experience with LLMs
• Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)
• Understanding of underlying data systems such as Cloud architectures and SQL
• Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field
• Location: Must be located within the CST, MST, and PST time zones

Bonus points for any of these:

• Experience using Dataiku DSS
• Experience with Consulting and/or Customer-facing Data Science roles
• Experience in the Manufacture & Defense sector
• Experience with Data Engineering or MLOps
• Experience developing WebApps in Javascript
• Experience building APIs
• Passion for teaching or public speaking

Why Engineering at Dataiku? 

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.

What to know about the Field Engineering team 

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.

How you’ll make an impact

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.

Some expected outcomes for this role:

• Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
• Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
• Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
• Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
• Drive technical success by being a trusted advisor to our customers and our internal account teams 

What you need to be successful:

• Professional experience with at least one cloud based services (AWS, GCP or Azure)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
• Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
• Some experience with Python
• Grit when faced with technical issues
• Comfort and confidence in client-facing interactions
• Ability to work both pre and post sale

What will make you stand out:

• Some knowledge in Data Science and/or machine learning
• Linux system administration experience
• Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning 
• Experience with authentication and authorization systems like(A)AD, IAM, and LDAP

What does the hiring process look like? #LI-Hybrid #LI-AN1

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

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: 

• Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
• Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
• Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
• Use Dataiku to demonstrate the business value articulated in the usage scenarios.
• Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
• Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors.
• Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
• Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful: 

• Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems.
• Experience in the data science, analytics, or big data markets preferred
• 5+ years of experience with predictive modeling, programming in Python/R and an understanding of relational data structures and SQL 
• Experience working with cloud infrastructures (AWS, GCP, Azure) 
• Experience in Analytics/AI or other enterprise software
• Experience in technical pre-sales or other client facing roles (consulting, etc.)
  Comfortability talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking
• Bahasa language skills are required for this position. 

#LI-Hybrid #LI-SW1

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:

• Design, deploy, and maintain robust network and security measures (private connectivity options, VPN IPSEC, firewall configurations, etc.) in cloud infrastructures to support a Dataiku SaaS offering.
• Troubleshoot network connectivity issues in cloud and on-premises environments.
• Collaborate with security teams to execute a comprehensive security roadmap, prioritizing initiatives that mitigate risks and enhance our overall security posture.
• Ensure compliance with industry standards and regulations (e.g., SOC2, HIPAA) by implementing and maintaining appropriate security controls and practices.
• Continuously improve the infrastructure, deployment, monitoring, and configuration to deliver more reliable, resilient, scalable, and secure services.
• Automate routine tasks and processes to improve operational efficiency and scalability, leveraging infrastructure as code tools and scripting languages.

What you need to be successful:

• Experience in enterprise networking (VPN IPSEC / Palo Alto / Cisco / PrivateLink…), and network security with a focus on both on-premises and cloud environments.
• Proven track record of designing and implementing secure and compliant network architectures, with an understanding of industry standards and regulations.
• Experience leveraging cloud resources from at least one public cloud provider (AWS / Azure / GCP), including proficiency in networking services such as AWS VPC, VPN Gateway.
• Hands-on experience with networking tools (tcpdump, wireshark, netstat, dig, etc.) and Infrastructure as code tools (Terraform/Ansible, Helm).
• Solution-oriented and automation-first mindset.
• Bonus: hands-on expertise working with Docker and Kubernetes

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team
• Video call with an SRE Manager
• Technical Assessment to show your skills (Home Test or Live Coding)
• Debrief of your Tech Assessment with 2 SRE Team members
• Final Interview with a VP Engineering

#LI-Hybrid

#LI-On-site

#LI-AH1

How you'll make an impact

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!

What you’ll be doing

• Embed with strategic customers to run structured discovery (interviews, async collaboration, or on-site visits) to surface unmet needs before they're obvious to competitors.
• Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company's financial goals.
• Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy. Collaborate with the Product Marketing team to align and deliver on product positioning messages.
• Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.
• Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform.)
• Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.
• At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.
• Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.
• Participate in the development, maintenance and education on the AI/ML roadmap. Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.

What you will NOT be doing

• Managing the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state. You will focus on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.
• Product management focused on feature development, you work closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time, you do not dive into technical analysis.
• Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.
• Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.

What you’ll need to be successful

• 5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment
• 3+ years hands-on experience with building AI/ML solutions (e.g. advanced analytics, predictive analytics, GenAI-powered applications)
• Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don't need to be a software engineer, but you produce tangible artifacts that make ideas testable.
• Ability to engage with business leaders and influence decisions
• Proven ability to influence cross-functional teams without formal authority

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

• Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
• Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment
• Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
• Use Dataiku to demonstrate the business value articulated in the usage scenarios.
• Design and create Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value.
• Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors.
• Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions.
• Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you’ll need to be successful

• Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems
• 6+ years' experience in technical pre-sales, preferably in a high-growth environment
• Experience in the data science, analytics, or big data markets preferred but not required
• Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc)
• Comfortability talking to all levels of customer teams from individual contributors to C-level executives
• Experience in Analytics/AI or other enterprise software
• Previously worked in a fast paced, growing company
• Currently located within MDT and PST timezones for West region

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 -

• 8+ 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

#LI-LP1

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: 

• Educating customers on the value of Dataiku in a thoughtful way
• Driving revenue through proactive outreach to existing customers
• Providing recommendations based on a customer’s business needs and usage patterns
• Managing multiple customers simultaneously at various stages of the Dataiku buying cycle
• Strong ability to develop a C-Level vision match with prospects and customers, to develop alignment across different groups and cultivate champions
• Background in selling innovation and new concepts to large Enterprises
• Handling inbound customer communication and organizing/escalating issues appropriately, including: billing, legal, security, and technical inquiries
• Serving as the voice of the customer and collecting feedback to drive continuous improvement across all areas including product
• Other duties as assigned from time to time

What you'll need to be successful:

• 5-7 years’ experience in software field sales, or other relevant sales experience
• 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
• Domain expertise in big data, analytics, data science, BI/DW, data integration preferred
• Possesses advanced interpersonal communication skills 
• Is adaptable with a growth mindset

#LI-CM

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: 

• Educating customers on the value of Dataiku in a thoughtful way
• Driving revenue through proactive outreach to existing customers
• Providing recommendations based on a customer’s business needs and usage patterns
• Managing multiple customers simultaneously at various stages of the Dataiku buying cycle
• Strong ability to develop a C-Level vision match with prospects and customers, to develop alignment across different groups and cultivate champions
• Background in selling innovation and new concepts to large Enterprises
• Handling inbound customer communication and organizing/escalating issues appropriately, including: billing, legal, security, and technical inquiries
• Serving as the voice of the customer and collecting feedback to drive continuous improvement across all areas including product
• Other duties as assigned from time to time

What you'll need to be successful:

• 5-7 years’ experience in software field sales, or other relevant sales experience
• 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
• Domain expertise in big data, analytics, data science, BI/DW, data integration preferred
• Possesses advanced interpersonal communication skills 
• Is adaptable with a growth mindset

#LI-Hybrid

#LI-FN1

#LI-JR1

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:

• Proven Enterprise Sales Experience: A strong track record of success in enterprise software sales, consistently exceeding quotas.
• Domain Expertise: Experience selling complex software solutions, ideally within data, analytics, AI, machine learning, or business intelligence.
• New Business Hunter: Demonstrated ability to acquire new logos and drive significant net new revenue.
• Value-Driven Approach: Skilled in understanding customer pain points and articulating how technology solutions deliver tangible business outcomes.
• Collaborative Spirit: Ability to work effectively within a team environment and leverage internal resources (pre-sales, customer success) to drive deals forward.
• Language Proficiency: Fluency in Arabic is required. Plus excellent English is a must.
• Strong experience:  Selling into the KSA region. 
• Adaptability: Ability to thrive in a fast-paced, high-growth environment.
• Travel: Willingness to travel as needed to meet with clients and attend industry events.

#LI-CM

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:

• English - fluent, Arabics - fluent/native will be a big plus

• 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

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.

How You’ll Make an Impact

• Define the Blueprint: Help define the role, building programs and automations for repeatable, scalable use across AMER.
• Scale through Innovation: Develop and A/B test enablement programs to identify the most effective ways to drive user adoption and satisfaction at scale.
• Technical Enablement: Execute demonstrations of new product features and conduct hands-on workshops in collaboration with Sales Engineers.
• Drive Adoption: Focus on onboarding and increasing user retention by educating customers on best practices within the Dataiku platform.
• Strategic Advisory: Establish regular touchpoints to advise users on applying Dataiku to their specific business needs and use cases.
• Evangelism & Use Case Documentation: Execute programs to create self-sustaining enablement and "communities of practice" within customer accounts, capture and document client use cases and stories to share the impact of their work.
• Expansion & Growth: Collaborate with Account Executives and Sales Engineers to identify expansion opportunities that drive additional value.
  
  

What You’ll Need to Be Successful

• Foundational Experience: 0-1 years in sales engineering, technical consulting, or data science roles with a track record of customer satisfaction.
• Entrepreneurial Mindset: Ability to navigate ambiguity, build consensus, and work with urgency to define a new segment's success.
• Communication Excellence: Strong written and oral presentation skills, with the ability to tailor messaging to both no-code and high-code users.
• Public Speaking: A knack for engaging with all levels of customer teams, from individual contributors to leadership.
• Travel: Willingness to travel up to 25% across the AMER region.
  
  

What Will Make You Stand Out

• Technical Proficiency: Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, or SQL.
• Platform Certifications: Dataiku Advanced Designer, Snowflake SnowPro Core, or Databricks Business Analyst certifications.
• Strategic Vision: Experience building and operating communities of practice or scalable post-sales programs.
• Intellectual Curiosity: A never-ending desire to learn new solutions and translate features into business value.

#LI-AH1

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

• Manage client relationships, needs, and oversee implementation services estimation, delivery, and controls across multiple engagements.
• Lead the service delivery team, managing conflict, and ensuring the team's processes and tasks are carried out efficiently.
• Manage Project Budget, Margin, Scope, and Schedule within initial parameters.
• Independently identify internal and external project risks and provide fit-for-purpose mitigations.
• Assess customer feedback and refine products and service offerings with internal owners and providers.
• Facilitate and guide discussions on the infrastructure sizing, positioning, and architectural implementation of capabilities with engineering and data science leads
• Prioritize and schedule work based on company KPIs and multiple team’s capacity and availability.
• Iterate on and help evolve the product lifecycle workflow and capabilities and coordinate release coordination.

What you’ll need to be successful

• Have 2-5 years’ of experience leading project teams and-or cross-functional projects.
• Are organized, ambitious, and take ownership when relevant and delegate as needed.
• Have a Bachelor’s or Military experience in a related field.
• Have an excellent understanding and practical experience with modern project management methodologies and software engineering processes.
• Have excellent communication skills.
• Thrive in the executing and iteration of efficient processes.
• Can identify, manage, and mitigate risk, contingencies, reporting, and operations.
• Can leverage lessons learned to feedback and improve process and best practices.
• Can highly collaborate with partners, internal team members, consultants, third-party sellers, and customers.
• Location: Must be currently located within either the EST or CST regions of the United States.

 What will make you stand out

• Master's Degree in Computer Science or STEM degree program or equivalent combination of skills and experience.
• Data science degree or background in previous roles
• Previous Services experience in a SaaS company.
• Project Management/Scrum certifications (CAPM, PMP, etc).

#LI-Remote

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

Business Development Representative — Italy 

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.

How You'll Make An Impact

• Lead Management: Manage a large volume of daily inbound and outbound leads within the Italian territory—connecting via phone, email, and LinkedIn to qualify them.
• Strategic Campaigns: Engage with our Sales and Marketing executives to design, research, and execute outbound vertical and geographical campaigns to grow the sales pipeline in Italy.
• Enterprise Collaboration: Work closely with our Account Executives to prospect and help close large enterprise deals within the Italian "Fortune 500" equivalent.
• Nurture: Educate and nurture early-phase prospects for potential future opportunities.
• Domain Expertise: Demonstrate knowledge of Dataiku and its value proposition to converse with data and business leaders in Italy across industries such as Manufacturing, Banking, Fashion/Retail, and Energy.
• Optimization: Analyze and report on your weekly activities to identify potential optimizations for the Southern EMEA market.

What You'll Need To Be Successful

• Language Mastery: Native-level fluency in Italian (verbal and written) is essential.
• The Multilingual Edge: Proficiency in French and/or Spanish is highly preferred and will be a major asset for collaborating across our South EMEA offices.
• Communication: Strong interpersonal skills and excellent verbal and written communication.
• Experience: Relevant experience and proven success in sales or business development within the software/tech industry or a high-growth startup.
• Organization: Able to demonstrate strong organizational and project management skills.
• Data-Driven: Highly analytical and understand the importance of tracking and reporting on your outreach.
• Curiosity: Deeply interested in innovative topics like Data Science, Predictive Analytics, and Generative AI.

#LI-CM

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

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: 

• Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
• Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
• Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
• Use Dataiku to demonstrate the business value articulated in the usage scenarios.
• Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
• Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed-upon course of action to prove that Dataiku delivers the needed value better than our competitors.
• Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
• Assist in sales pipeline building activities, including attendance at live and/or virtual trade shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful: 

• English - fluent; Spanish and Italian - fluent/native
• Strong natural and intellectual curiosity, especially around the application of technology to solve all kinds of problems
• Experience in the data science, analytics, or big data markets is preferred
• 5+ years of experience with predictive modelling and an understanding of relational data structures and SQL
• Programming in Python/R would be a bonus
• Experience working with cloud infrastructures (AWS, GCP, Azure) 
• Experience in Analytics/AI or other enterprise software
• Experience in technical pre-sales or other client-facing roles (consulting, etc.)
• Comfortable talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking

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: 

• Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
• Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
• Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
• Use Dataiku to demonstrate the business value articulated in the usage scenarios.
• Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
• Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed-upon course of action to prove that Dataiku delivers the needed value better than our competitors.
• Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
• Assist in sales pipeline building activities, including attendance at live and/or virtual trade shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful: 

• Being based or willing to relocate to Mialn, Italy
• English - fluent; Spanish and Italian - fluent/native
• Strong natural and intellectual curiosity, especially around the application of technology to solve all kinds of problems
• Experience in the data science, analytics, or big data markets is preferred
• 5+ years of experience with predictive modelling and an understanding of relational data structures and SQL
• Programming in Python/R would be a bonus
• Experience working with cloud infrastructures (AWS, GCP, Azure) 
• Experience in Analytics/AI or other enterprise software
• Experience in technical pre-sales or other client-facing roles (consulting, etc.)
• Comfortable talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking

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 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

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:

• Actively serves a portfolio of assigned accounts, including some of the world’s leading organisations in manufacturing, energy and defence.
• Gain an understanding of the client’s use cases and desired business outcomes, and help a large number of licensed users achieve these goals via Dataiku's Product & Services.
• Help clients translate the business use cases they’re trying to crack into high ROI solutions.
• Partner with the Dataiku account teams (Engagement Managers, Technical Account Managers, Data Scientists and Sales Engineers) to ensure the success of your customers.
• Provide guidance to customer organisations on leveraging Dataiku to implement data science projects from design to production.
• Implement customer engagement strategies, including consistent Executive Business Reviews and account planning.
• Leverage Customer Health analytics to identify customer expansion opportunities & churn risks.
• Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals.

What you'll need to be successful:

• Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT.
• At least 5-15 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 and proactivity.
• Strong knowledge of the data science project lifecycle and a proven record of supporting organisations in their AI maturity curve.
• Change management through major programs (onboarding, champion network, building centres of excellence)

#LI-Hybrid

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.

• Must be currently based on the East Coast (Northeastern location preferred). 

#LI-AH1

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

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

• Assist with daily accounting operations, including data entry and account reconciliations
• Prepare and post journal entries under supervision
• Reconcile bank statements and general ledger accounts
• Support month-end and year-end financial close activities
• Support preparation of local GAAP financial statements
• Help ensure compliance with accounting standards (both US GAAP and local GAAP), company policies and regulatory requirements
• Assist with audits by providing documentation and explanations as needed
• Maintain organised and up-to-date financial records
• Other Ad Hoc tasks as required

Hybrid Work Expectations

• Work 2 days per week in the office and 3 days remotely
• Attend in-person training and key meetings on office days
• Maintain a suitable home workspace with reliable internet access
• Communicate clearly and consistently with the finance team
• Use company-approved tools for collaboration and document management

Skills & Qualifications

Required:

• Understanding of accounting principals and financial reporting
• ACCA, ACA or CIMA newly qualified or final year of training
• Proficiency in Microsoft Excel
• Strong attention to detail and accuracy
• Good organisation and time-management skills
• Ability to work independently and as part of a team
• Strong written and verbal communication skills

Preferred (but not required):

• Netsuite experience

Personal Attributes

• Reliable and well-organized
• Professional attitude
• Comfortable working independently and collaboratively
• Trustworthy with confidential information #LI-Hybrid

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:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
  • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
  • Collaborate with research teams on innovative machine learning experiments
  • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
    
    
• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

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:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring

• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
• Build tools to automate retraining, monitoring, and deployment of ML models
• Enhance collaboration features for ML stakeholders
• Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
  
  
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
• Optimize processing engines for scalability and latency
• Expand capabilities to support new databases and cloud platforms
• Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
  
  
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
• Develop customizable platforms for managing AI compliance and governance
• Simplify policy enforcement and integration across disparate systems
• Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45 min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

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:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring

• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote