Qureos Mentor

DataRobot

DataRobot is a leading provider of AI applications and platforms designed to maximize business impact while minimizing risk. Their unified agent workforce platform enables enterprises to build, operate, and govern AI solutions at scale, integrating seamlessly into core business processes. With a focus on innovation, DataRobot offers purpose-built agents and tools that enhance productivity across various industries, including finance, healthcare, and manufacturing. The platform is co-engineered with industry leaders like NVIDIA and SAP, ensuring robust performance and compliance in enterprise environments.

<div>Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.
We are searching for an AI Support Engineer who enjoys working with data and helping users solve complex problems. This is a customer-facing position and will require the ability to interact with customers and partners daily during scheduled working hours or during an escalated incident on the weekend. The AI Support Engineer will work closely with developers to reproduce problems and deliver fixes. The person is an excellent communicator, technically astute, with an outstanding ability to troubleshoot complex issues.
At DataRobot, we also apply our own AI tools to better service customers. Therefore, we are seeking candidates passionate about providing support and building tools that use the DataRobot Platform to provide an unprecedented support service. This is an exciting opportunity to join a leader and work at the forefront of Artificial Intelligence. As an AI Support Engineer, you will be working with data scientists, data engineers, developers, and IT to help solve the most challenging AI problems.
Key Responsibilities:<ul><li>
Provide customer support to DataRobot AI Platform users via the SalesForce ServiceCloud ticketing system during 09:00 AM - 05:00 PM JST (12 AM - 8 AM UTC)</li><li>
Help customers over email or Zoom/Webex meetings to facilitate issue resolution</li><li>
Work with product, engineering, and data science teams to resolve customer issues</li><li>
Create workarounds when standard procedures have failed and ensure issues are solved in a timely manner</li><li>
Document customer issues and resolutions, create knowledge base content related to software usage</li><li>
Participate in AI Support projects to develop models and tools to automate and improve customer service</li><li>
Weekend Severity 1 on-call rotation</li><li>
Participate in production incidents (IR) on the DataRobot MTS (SaaS) platform as an Incident Communicator</li><li>
Collaborate with regional partners to resolve outstanding issues and engage the in-house Partner Enablement team to drive operational excellence.</li><li>
Contribute to the design and scale agentic workflows to automate complex internal queries, while establishing a continuous feedback loop for support bot optimization and performance tuning.</li><li>
Professional proficiency in both Japanese and English (written and verbal) is required.</li></ul>
Knowledge, Skills &amp; Abilities:<ul><li>
Bachelor in Computer Science, Engineering, Statistics, Data Science, or equivalent.</li><li>
3+ years of industry customer support experience</li><li>
Hands-on experience with troubleshooting Kubernetes-based applications</li><li>
Knowledge of cloud infrastructure providers (AWS, Azure, Google Cloud)</li><li>
Linux administration, networking, and containerization (Docker).</li><li>
Python scripting skills for automation and debugging purposes.</li><li>
Experience using AI tools in daily operations and support tasks</li><li>
Excellent verbal and written communication skills to interact with technical and non-technical audiences.</li></ul>
Nice to have:<ul><li>
Support experience with AI / ML enterprise applications</li><li>
Understanding of AI / ML model training lifecycle</li><li>
Incident management experience on SaaS platforms</li><li>
Experience with Mongo, Postgres, and Redis database support and troubleshooting</li><li>
Hands-on experience with SalesForce ServiceCloud</li></ul>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:<ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul> 
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.</div>

AI Support Engineer II

<div>Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.
DataRobot&rsquo;s Forward Deployed Engagement Manager leads the delivery of our most advanced customer initiatives. In this high-impact role, you will be the captain of the ship for enterprise customer engagements, specifically focusing on the deployment of Agentic AI and Generative AI solutions.
You are not just a project manager; you are a technical translator and a strategic partner. You will sit at the intersection of business strategy and engineering execution, guiding our customers through the complexities of adopting autonomous AI agents. Drawing on a background in software engineering or solution architecture, you will effectively manage technical risk while using your business acumen to ensure every project delivers measurable ROI. 
Key Responsibilities:<ul><li>
Lead Complex AI Engagements: Own the end-to-end delivery lifecycle for high-stakes professional services engagements. You will manage the scope, timeline, budget, and execution of projects building GenAI agents and predictive solutions.</li><li>
Bridge Business &amp; Technology: Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot&rsquo;s technical delivery team (AI Engineers and Data Scientists). You will ensure business goals are accurately translated into technical requirements.</li><li>
Technical Risk Management: Leverage your technical background to identify implementation risks early&mdash;whether related to data infrastructure, API integrations, or agent logic&mdash;and work with the engineering team to mitigate them before they impact the critical path.</li><li>
Stakeholder Management: cultivate strong, trusted relationships with client sponsors. You will manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success.</li><li>
Drive Adoption &amp; Change: Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations.</li><li>
Agile Delivery: Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.</li></ul> 
Knowledge, Skills and Abilities:
Technical Fluency:<ul><li>
Understanding of system architectures, API integrations, and cloud infrastructure</li><li>
Ability to engage in discussions on the software development lifecycle (SDLC) with engineering teams</li><li>
Familiarity with GenAI and Agentic systems (e.g., non-deterministic behavior, latency trade-offs, MCP servers, RAG architectures)</li></ul>
Business Acumen:<ul><li>
Ability to define KPIs, measure ROI, and align technical outputs with strategic business objectives</li></ul>
Consulting Mindset (&ldquo;Consulting DNA&rdquo;):<ul><li>
Disciplined approach to project governance, documentation, and client communication</li></ul> 
Requisite Education and Experience / Minimum Qualifications:
Related Experience:<ul><li>
7+ years of professional experience, including delivery of complex software or data products for enterprise clients</li></ul>
Hybrid Background:<ul><li>
Experience in technical roles (e.g., Software Engineer, Solution Architect, Technical Lead) with progression into client-facing leadership roles (e.g., Engagement Manager, Technical Program Manager, Product Owner)</li></ul>
AI/ML Experience:<ul><li>
Experience managing data science or machine learning projects</li></ul>
Education:<ul><li>
Technical undergraduate degree (Computer Science, Engineering, or similar); MBA preferred</li></ul>
Certifications:<ul><li>
PMP, Scrum Master (CSM), or cloud certifications (AWS, Azure, GCP) preferred</li></ul>
Consulting Experience:<ul><li>
Experience working within a management consulting or technology consulting environment (Big 4 or boutique)</li></ul>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:<ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul>
All DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings. 
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.</div>

Lead Engagement Director

<div>Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.
Purpose &amp; Overall Relevance for the Organisation: 
The Account Executive is responsible for generating new business by acquiring net-new customers within assigned territories and/or market segments. This role is focused on high-velocity pipeline creation, qualifying GenAI use cases, and closing initial land deals across DataRobot&rsquo;s packaged applications and platform offerings. AEs work closely with Business Development Reps, Pre-Sales, Account Managers, and Technical Success Managers to drive early-stage traction and accelerate customer onboarding. 
Key Responsibilities:<ul><li> 
New Logo Acquisition: Own the full sales cycle for net-new customers, from prospecting and qualification through close.</li><li>
Pipeline Generation: Partner with Business Development Reps to prioritize prospective accounts, develop prospecting strategies, and convert qualified buying groups into active opportunities.</li><li>
Discovery &amp; Use Case Qualification: Lead discovery to identify business problems and map them to DataRobot&rsquo;s GenAI solutions, with a hyper-focus on foundational platform and applications, as well as SAP business applications.</li><li>
Deal Execution &amp; Forecasting: Manage opportunity progression, pricing, and negotiation; maintain accurate forecasting and CRM hygiene to support predictable growth.</li><li>
Solution Selling in a Vertical Context: Leverage light vertical alignment (major/minor model) to tailor messaging and differentiate based on industry-specific needs or language.</li><li>
Cross-Functional Handoff to Post-Sales: Ensure smooth transitions post-sale by aligning internal stakeholders (Technical Success Managers, Engagement Directors, Account Managers, etc.) and documenting success criteria.</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Proven track record of prospecting, qualifying, and closing net-new logos in fast-paced sales cycles</li><li>
Experience selling subscription-based SaaS solutions, ideally involving business applications or platform-based tools</li><li>
Ability to lead consultative sales conversations around business use cases and ROI, even without deep technical expertise</li><li>
Skilled at working cross-functionally with BDRs, presales, and post-sales teams to progress and close complex deals</li><li>
Viewed by customers as a trusted advisor who brings relevant insights, not just product pitches</li></ul>
Requisite Education and Experience / Minimum Qualifications:<ul><li>
5+ years of quota-carrying sales experience as an account owner in SaaS or enterprise software; familiarity with GenAI or applied AI concepts a plus</li><li>
Bachelor's degree or equivalent work experience</li><li>
Experience in the Middle-East preferred [GCC]</li></ul>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:<ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul> 
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.</div>

Account Executive - KSA

<div>Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.
The Business Development Representative plays a critical role in driving pipeline growth by generating and qualifying new logo opportunities for Account Executives. Business Development Reps are responsible for identifying target personas, initiating outreach, and engaging prospects in meaningful conversations that uncover business needs aligned to the DataRobot GenAI applications and platform capabilities. This role requires close collaboration with Account Executives and Marketing to convert early interest into qualified discovery meetings. 
Key Responsibilities:<ul><li> 
Prospect and Qualify New Leads: Research and identify high-potential accounts and buying groups; engage target personas across business and technical functions to assess fit for DataRobot&rsquo;s GenAI solutions. Craft compelling pitches tailored to the needs and pain points of each account.</li><li>
Outbound Engagement &amp; Multi-Channel Execution: Execute outbound outreach via email, phone, social platforms, and event follow-up to generate interest and schedule discovery calls with Account Executives.</li><li>
Discovery Readiness &amp; Hand-Offs: Qualify interest and intent of accounts; seamlessly transition leads to Account Executives with clear context and opportunity alignment.</li><li>
Pipeline Coverage &amp; Activity Targets: Maintain target volumes of outreach activity, meeting creation, and conversion; support consistent pipeline generation to meet territory goals.</li><li>
CRM and Tool Hygiene: Accurately track engagement activity, lead status, and notes in Salesforce and other sales tools to ensure visibility and enable performance analysis.</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong communication and storytelling skills, with the ability to tailor messaging to business and technical audiences</li><li>
Demonstrated ability to manage outbound prospecting campaigns and qualify early-stage opportunities</li><li>
Curiosity and critical thinking mindset &mdash; able to connect customer pain points to relevant GenAI use cases</li><li>
Experience using CRM and sales engagement tools (e.g., Salesforce, Outreach, ZoomInfo)</li><li>
Passion for technology, sales, and learning in a fast-paced environment</li></ul> 
Requisite Education and Experience / Minimum Qualifications:<ul><li>
1+ years of sales or prospecting experience; SaaS or enterprise technology experience preferred</li><li>
Bachelor&rsquo;s degree or equivalent work experience</li></ul>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:<ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul>
All DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings. 
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.</div>

Business Development Representative

Join DataRobot and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

DataRobot

About Company

AI Support Engineer II

Lead Engagement Director

Account Executive - KSA

Business Development Representative