DataRobot

Product Manager

• Lead the development of the platform through strategic planning and staffing of a team of Product Managers
• Deliver data-driven insights to inform and influence strategic product decisions across the full product lifecycle
• Oversee multiple product cycles for the same product, ensuring continuous improvement and adaptation to market dynamics.
• Collaborate with cross-functional teams, including engineering, marketing, sales, and customer support, to ensure successful development and launch of features.
• Develop and execute a product platform strategy aligned with the company's overall goals and objectives and our overall product roadmap, with a focus on cloud-native solutions.
• Set product roadmap to support key initiatives based on inputs from customers and cross-functional teams.
• Engage with customers and industry stakeholders to understand their evolving needs and challenges
• Mentor & develop teams, and inspire the growth of top talents
• Foster a culture of innovation, collaboration, and continuous improvement

VP of Product – Platform and Ecosystem

Manager

• Managing the end-to-end contract lifecycle, with a focus on NDAs, commercial negotiations, transactional support, and internal legal administration
• Helping Sales and DealDesk teams with RFP processes and providing respective legal, corporate, and privacy information
• Creating, vetting, and refining clear, legally sound commercial contracts (e.g., NDAs, vendor agreements, partner agreement etc.) to ensure they align with DataRobot’s objectives and legal standards
• Supporting commercial transactions by clear, objective driven negotiation of contract terms with external parties (clients, vendors, partners)
• Overseeing the formal execution/signing process to ensure all necessary approvals and signatures are obtained correctly
• Managing a centralised legal repository of all executed contracts, a centralised contract content log system, and associated documentation
• Serving as a crucial link between various internal departments (Legal, Sales, Finance, Procurement) to ensure all contractual requirements are understood and met
• Developing and implementing automation for internal processes and procedures to standardize and streamline the contract management workflow

Contracts Manager

• Work with partners and customers to define requirements for applications that deliver value in Finance, Supply Chain, Business Planning, and other enterprise functions.
• Collaborate with engineering and design teams to build intelligent, autonomous workflows powered by SAP connectors and enterprise data models.
• Partner with SAP ecosystem teams to ensure seamless interoperability, compliance, and alignment with SAP best practices.
• Conduct market research, competitive analysis, and customer interviews to inform product direction.
• Translate customer and market needs into clear product requirements, user stories, and GTM strategies.
• Define and track success metrics for adoption, business impact, and customer satisfaction.
• Act as a subject matter expert internally and externally, presenting product capabilities to customers, partners, and industry audiences.
• Stay ahead of trends in AI, agentic systems, and enterprise business applications to guide future innovation.

Director, Product Management – SAP

Accountant

• Lead coordination with our international accounting advisors to support the preparation, review and filing of statutory financial statements for overseas operations, maintaining compliance with local standards.
• Serve as the primary point of contact for the external audit process of our international entities, working closely with our accounting advisors and auditors to ensure a timely and accurate completion of the audit.
• Support certain monthly close activities for our international entities in NetSuite, including the preparation and review of journal entries, reconciliations and other critical financial analyses.
• Identify and implement process improvements to enhance the efficiency and effectiveness of the international financial reporting and compliance process.

Senior Accountant – Statutory and International Compliance

Full-stack Engineer

• Develop, test and support features of DataRobot with the main focus on expanding unstructured data connectivity capabilities of our GenAI platform and Agentic applications.
• Write and maintain automated tests.
• Manage individual work items and communicate clearly about their progress and constraints.
• Communicate clearly and pro-actively with product and technical stakeholders to clarify requirements.
• Seek, give, and receive critical feedback in a constructive manner, including but not limited to code reviews.
• Work collaboratively with peers and take initiative in solving problems and unblocking others.
• Take ownership of the components we develop and deliver work that you can be proud of.
• Engage in engineering on-call escalated support of services owned by the team

Software Engineer II, Data & Connectors

• Architect, build, and lead backend services that scale to handle large workloads, high concurrency, and low latency requirements.
• Design and implement autoscaling strategies (horizontal/vertical), dynamic resource allocation, and load balancing to ensure responsive, cost-efficient service.
• Improve end-to-end request pipelines, optimizing for latency, throughput, reliability, and correctness.
• Instrument, monitor, and profile systems in production; identify bottlenecks, troubleshoot performance issues, and proactively tune services.
• Collaborate with ML/AI teams to ensure models’ serving pipelines uphold accuracy, consistency, and performance under load.
• Drive best practices in systems reliability, observability, error handling, capacity planning, resilience, and failover.
• Mentor and coach other engineers; provide technical leadership and influence across teams.
• Contribute to defining architecture, coding standards, performance benchmarks, and technical roadmap items related to scalability and performance.

Staff Software Engineer

Backend Engineer

• Develop, test and support features of DataRobot focusing on unstructured data connectivity and processing capabilities
• Own and drive key projects and milestones while fostering a culture of abundant communication
• Write and maintain automated tests
• Communicate clearly and pro-actively with product and technical stakeholders to clarify requirements
• Seek, give, and receive critical feedback in a constructive manner
• Work collaboratively with peers and take initiative in solving problems
• Take ownership of the components developed and deliver work that is praiseworthy
• Engage in on-call escalated support of services owned by the Data&Connectors team

Senior Python Software Engineer, Data & Connectors

Product Marketing

• Own the Agent Platform Storytelling and be the voice of the DataRobot Agentic AI Platform.
• Activate Breakthrough Use Cases to help customers see what’s possible.
• Collaborate with Growth and content teams to turn use cases into pipeline-driving programs.
• Craft 'better together' messaging with key partners and enable the field with resonating materials.
• Measure performance and iterate on the strategy for continuous improvement.
• Build high-impact assets working across teams to activate the message across the funnel.

Product Marketing Manager – Agentic AI

• Develop, test, and support features of DataRobot.
• Create and maintain automated unit tests and functional tests.
• Design infrastructure for new features with the input of peers.
• Manage individual projects and milestones with abundant communication of progress.
• Seek, give, and receive critical feedback in a constructive manner, including but not limited to code reviews.
• Engage in engineering on-call escalated support of services owned by the team.

Backend Engineer II

• Develop, test, and support features of DataRobot.
• Create and maintain automated unit tests and functional tests.
• Design infrastructure for new features with the input of peers.
• Manage individual projects and milestones with abundant communication of progress.
• Seek, give, and receive critical feedback in a constructive manner, including but not limited to code reviews.
• Engage in engineering on-call escalated support of services owned by the team

Senior Backend Engineer

AI Engineer

• Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.
• Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools.
• Act as a subject matter expert on the DataRobot platform and modern AI/ML development.
• Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.
• Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences.

Senior AI Engineer – Professional Services

Artificial Intelligence

• Partner with sellers to understand business objectives and connect them to relevant DataRobot GenAI applications or platform capabilities; tailor technical messaging for different buyer personas by industry.
• Deliver engaging, outcome-oriented demos for both new prospects and existing customers; help shape and refine use cases based on maturity, need, and strategic alignment.
• Define key technical requirements, recommend deployment models, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.
• Surface patterns in customer objections, market trends, and technical blockers to Product, Marketing, and Enablement teams to strengthen positioning and readiness.
• Act as a trusted advisor across the sales team by supporting Account Executives, Strategic Account Directors, and Business Development Reps with the technical knowledge and assets needed to drive GenAI opportunities forward.

Pre-Sales Applied AI Expert

• Adapting our MLOps offering to deal with new technical challenges in the predictive and particularly generative AI landscape
• Seek, give, and receive critical feedback in a constructive manner
• Maintaining and improving our existing tools, APIs, integrations and tests
• Operate and troubleshoot the services we maintain in Kubernetes clusters
• Working directly with customers in workshops or escalations
• Lead your own projects with high autonomy through technical designs, implementation, and release to customers
• Collaborate closely with product managers to distill requirements into technical tasks
• Operate a 24/7 on-call rotation where team members take turns dealing with operational incidents.

• Shape the long-term technical strategy for Generative AI
• Build, ship and operate critical AI infrastructure
• Mentor Staff/Senior Engineers
• Partner with Research, Product, and GTM teams

Principal Software Engineer

• Partner with Customers: Collaborate closely with customer stakeholders to understand business goals, identify high-impact use cases, and define technical requirements for AI solutions
• Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools, including agentic AI, generative AI (chatbots, RAG), and predictive ML models
• Develop agents using frameworks such as Langgraph, CrewAI, Llama Index and deploy at scale
• Serve as a Technical Expert: Act as subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives
• Deliver Value: Ensure solutions are robust, scalable, and directly contribute to customers' business objectives
• Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives

Senior AI Engineer

Operations

• Lead our global demand generation, digital marketing, SEO, ABM, and GTM strategy to drive net-new pipeline and customer expansion
• Build and evolve a multi-tiered ABM strategy, delivering targeted experiences across verticals, segments, and deal stages
• Drive marketing operations and infrastructure including attribution, reporting, scoring models, and campaign performance dashboards
• Partner with sales leadership to align on growth goals, territory coverage, and pipeline acceleration strategies
• Drive integrated campaigns across field marketing, partner marketing, and SDRs to reach and convert high-value accounts
• Deliver repeatable, scalable program frameworks that align to quarterly goals while leaving room for innovation
• Mentor and lead a team of growth marketers, campaign managers, and marketing ops professionals
• Collaborate with product marketing and brand to shape themes and ensure consistent positioning across channels

Global Head of Growth Marketing and Operations

• 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.
• Develop, test, and support features of DataRobot’s AutoML & GenAI platform
• Design and deploy infrastructure for new features and services in collaboration with your team
• Own and drive key projects and milestones while fostering a culture of abundant communication
• Seek, give, and receive critical feedback in a constructive manner, both formally and informally through code reviews, pair programming, and other ad-hoc collaboration
• Perform at a level where a manager can have high confidence in an engineer’s ability to deliver complex solutions on time, maintaining and contributing to an agreed-upon roadmap while managing technical risks and “keeping the lights on”
• Collaborate closely with product managers to distill requirements into actionable technical tasks and drive technical feedback on complexity and approaches
• Engage in Engineering On-Call to provide support for the services owned by the MLOps team

Senior Backend Engineer, MLOps, Deploy

Vice President

• 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.
• The Vice President, Professional Services – Federal is responsible for leading all professional services and data science delivery activities across the United States Federal Sector.
• This executive plays a critical role in shaping and executing the regional services strategy, ensuring world-class delivery of AI-driven solutions, and supporting revenue growth and customer success.
• The VP partners closely with Sales, Account Management, and the broader Senior Leadership Team to scale professional services offerings, achieve profitability targets, and drive customer value across international markets.
• Key Responsibilities: Collaborate with cross-functional field teams such as sales leadership, and Senior Leadership to build regional software and services strategies in support of revenue targets.
• Contribute to achieving professional services margins and oversee the P&L of your region.
• Recruit, assess, and train technical employees to meet DataRobot professional services hiring plan and performance standards
• Retain top talent and implement development plans for employees that fail to meet standards
• Ensure quality of delivery of professional services.
• Strategic Planning & Leadership
• Develop and maintain the regional professional services strategy aligned with global objectives and regional revenue goals.
• Advise the Executive Leadership Team on AI professional services trends, risks, and opportunities, including regional P&L performance.
• Contribute to global services strategy, operations, and administrative planning.
• Collaborate with Sales and Account Management to support go-to-market plans, renewals, and expansion strategies.
• Operational Execution
• Oversee successful delivery of services across the customer lifecycle—from PoVs and onboarding to expansion and renewal.
• Ensure adherence to performance standards across AAIE engagements in all assigned regions.
• Own and manage the regional professional services budget, operating plan, and margin targets.
• Monitor customer satisfaction, delivery quality, and overall health of engagements to minimize churn and maximize impact.
• Team Leadership & Development
• Lead, scale, and develop high-performing professional services and data science teams across international markets.
• Recruit, onboard, and upskill technical talent in line with DataRobot’s hiring plans and delivery standards.
• Implement performance management frameworks to recognize excellence and address underperformance.
• Foster a culture of feedback, continuous improvement, and professional growth.
• Knowledge, Skills and Abilities : Leadership & Influence
• Models an owner mindset, balancing customer outcomes with internal goals.
• Coaches and develops talent, creating a high-performance, feedback-driven culture.
• Inspires and influences across functions and levels, even without formal authority.
• Strategic Problem Solving
• Applies structured thinking to solve complex AI services challenges.
• Pushes for excellence, challenges assumptions, and integrates feedback from all stakeholders.
• Communicates clearly and effectively with SVP-level and C-suite audiences.
• Innovation & Enablement
• Drives thought leadership across product, services, and go-to-market teams.
• Participates in product innovation initiatives to enhance service delivery and customer outcomes.
• Codifies best practices and domain knowledge to scale technical excellence across teams.

VP of Product – Platform and Ecosystem

Contracts Manager

Director, Product Management – SAP

Senior Accountant – Statutory and International Compliance

Software Engineer II, Data & Connectors

Staff Software Engineer

Senior Python Software Engineer, Data & Connectors

Product Marketing Manager – Agentic AI

Backend Engineer II

Senior Backend Engineer

Senior AI Engineer – Professional Services

Pre-Sales Applied AI Expert

Senior Backend Engineer

Principal Software Engineer

Senior AI Engineer

Global Head of Growth Marketing and Operations

Senior Backend Engineer, MLOps, Deploy

VP, Professional Services - Federal