Datarobot

  • Johannesburg, South Africa
Datarobot Tel Aviv, Israel
Oct 19, 2019
DataRobot accelerates the process of building predictive models to get the most out of valuable data. We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data science veterans rely on. Our headquarters is in Boston, with major offices in Kyiv, Singapore, and Tokyo. In order to keep up with the demand for new features in DataRobot, we are looking to grow our backend engineering team. Primary responsibilities of this team include developing new data science tools, designing and supporting our APIs, and instrumenting DataRobot to integrate with enterprise IT infrastructure. Our team uses the following technology on a routine basis: Python, Flask, MongoDB, pytest, docker, Redis, NGINX and RabbitMQ among many others. Responsibilities: 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 Plan capacity, manage application performance 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 review Main Requirements: 3+ years development experience in Python Demonstrable knowledge of computer science fundamentals, whether by degree or otherwise Linux proficiency System/performance engineering (profiling process memory/cpu/io/network usage, system calls, flame graphs) Personal drive to get things finished Effective communication behavior Candidates can distinguish themselves with the following criteria: 8+ years development experience Publicly reviewable contributions to interesting development projects Experience with both python 2 and 3 Experience with R Experience supporting user-facing code and APIs Data Science experience Experience/understanding resource management services workflow (Hadoop/Yarn, Mesos, Kubernetes, AWS, OpenStack, Docker or any other)   Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot Kyiv, Ukraine
Oct 19, 2019
DataRobot  is seeking a hungry, multitasking, and ambitious individual to support senior executives. You will have an extraordinary attention to detail, the ability to meet tight deadlines, and the composure to juggle multiple critical requests. This role requires a high level of discretion in handling confidential information and integrity when supporting senior professionals inside and outside the company. Responsibilities: Management of multiple complex calendars and scheduling requirements Tracking and helping drive completion of requests by monitor calendars and email communications to make ensue calendars are up to date Handle all business travel – such as booking flights, cars, and hotels both domestic and international Preparation for meetings with senior executives (e.g. documents, video conferencing, and other logistics) Field inbound communication and exercise good judgment in figuring out who the best colleague is to handle the request Understand the policies and procedures necessary to ensure appropriate decision-making protocols are followed Collaborate with other admins to the executive team to ensure that priority obligations are met Participate in meetings and conferences, both onsite and offsite, as needed Support other operational initiatives as needed Requirements: 5+ years experience in providing administrative support is required High-energy individual, with a passion to learn Ability to communicate clearly and effectively Enthusiasm and dedication; ability to work flexible hours Ability to handle competing demands in a high pressure, dynamic, ever-changing environment with a high degree of integrity and discretion Flexibility is a must- we are a start up after all Strong Computer skills and knowledge of Google Apps and Office This role is based out of our Kyiv, Ukraine offices Bonus: Experience in a fast growing startup preferred Bachelor’s Degree Preferred Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation .
Datarobot Seattle, United States
Oct 18, 2019
As a member of the Platform Delivery domain, AI Architects help position and sell the DataRobot architecture as the gold standard for machine learning in enterprises and overcome any barriers to delivering DataRobot for customers.  You will work hand-in-hand with Sales, Product, Engineering, and Marketing to help us bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make DataRobot customers successful.  You will have a broad range of skills and experience ranging from systems architecture to ETL flows, security, cloud computing environments, and more.  You will have the insight to make the connection between a customer’s specific business problems and DataRobot's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. The person we’re looking for shares our passion about delivering machine learning for enterprises and thrives in the dynamic environment that comes with being part of an innovative startup from its early days. That means having the flexibility and willingness to jump in and get done what needs to be done to make DataRobot and our customers successful. It means keeping up to date on the ever-evolving technologies for systems architecture, machine learning, and MLOps in order to be an authoritative resource for both DataRobot and customers. And it means working collaboratively with a broad range of people both inside and outside the company. This role provides an immense opportunity for growth and expanding knowledge in data science. We Want You to Have: 5+ years of experience of working with enterprise customers, providing engineering, infrastructure, and technical guidance and support 2+ years of experience selling to enterprise organizations, with bonus points for selling to C level individuals Excellent writing and communication skills Experience installing, managing and supporting platforms running on Linux Working knowledge of enterprise software with experience of supporting its deployment in large enterprise accounts Willingness to travel (~10-20%)  Bonus points: Experience with cloud IaaS providers (AWS EC2, Azure) Hadoop, Spark, Kubernetes, or other BI tools Bachelors in Computer Science, related field or equivalent demonstrable experience TS/SCI full scope active clearance
Datarobot San Francisco, United States
Oct 18, 2019
As a member of the Platform Delivery domain, AI Architects help position and sell the DataRobot architecture as the gold standard for machine learning in enterprises and overcome any barriers to delivering DataRobot for customers.  You will work hand-in-hand with Sales, Product, Engineering, and Marketing to help us bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make DataRobot customers successful.  You will have a broad range of skills and experience ranging from systems architecture to ETL flows, security, cloud computing environments, and more.  You will have the insight to make the connection between a customer’s specific business problems and DataRobot's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. The person we’re looking for shares our passion about delivering machine learning for enterprises and thrives in the dynamic environment that comes with being part of an innovative startup from its early days. That means having the flexibility and willingness to jump in and get done what needs to be done to make DataRobot and our customers successful. It means keeping up to date on the ever-evolving technologies for systems architecture, machine learning, and MLOps in order to be an authoritative resource for both DataRobot and customers. And it means working collaboratively with a broad range of people both inside and outside the company. This role provides an immense opportunity for growth and expanding knowledge in data science. We Want You to Have: 5+ years of experience of working with enterprise customers, providing engineering, infrastructure, and technical guidance and support 2+ years of experience selling to enterprise organizations, with bonus points for selling to C level individuals Excellent writing and communication skills Experience installing, managing and supporting platforms running on Linux Working knowledge of enterprise software with experience of supporting its deployment in large enterprise accounts Willingness to travel (~10-20%)  Bonus points: Experience with cloud IaaS providers (AWS EC2, Azure) Hadoop, Spark, Kubernetes, or other BI tools Bachelors in Computer Science, related field or equivalent demonstrable experience TS/SCI full scope active clearance
Datarobot Frankfurt, Germany
Oct 18, 2019
As a member of the customer success organization the AI Engineer will be a key member of the Customer Success team ensuring Customers pre- and post-sales experience is exceptional. Providing proactive and reactive help for POC, Customers and Partners. AI Engineer is responsible for: Advising and supporting prospects as well as clients with the deployment of models through enablement sessions, workshops, and services Development of enablement materials, accelerators, sample code, best practices Scoping, documentation, and development of ML pipelines Liaising with Engineering and triaging escalations from customers Maintaining the relationship with customer’s DevOps team  Requirements 5+ years experience in a customer facing role as a technical Subject Matter Expert (SME) 5+ years experience with at least one programming language 5+ years in-depth experience with at least one Cloud Service (AWS,GCP, Azure) 5+ years experience with Data Management on SQL or NO SQL database Linux and Networking skills Interest and understanding of Data Science   Soft skills Excellent communication skills Experience talking to senior customer technical and non-technical staff Experience working with Engineering and relaying customer requirements Experience with working as technical SME as part of a distributed team Troubleshooting experience gained on Enterprise software 
Datarobot Columbus, United States
Oct 17, 2019
Job Summary DataRobot is seeking passionate Cloud Solutions Engineers to help us continue to build the best platform to enable the AI driven enterprise. Successful candidates will have a deep understanding of the cloud provider’s ML and Analytics solutions and hands on experience implementing solutions with them. The Cloud Solutions Engineer is also an experienced Python developer who will extend the DataRobot platform to enable seamless integrations. Responsibilities Identify, design, and develop Cloud-based integration solutions in close cooperation with multiple teams across DataRobot R&D. The Solutions Engineer is an expert in AWS capabilities and is able to help DataRobot create compelling integrations. The Solutions Engineer will often need other teams to develop aspects of the solution and must be able to communicate requirements and advocate for designs to be implemented by others. Develop backend systems for machine learning solutions Main Requirements Experience implementing production solutions based on ML and Analytics tools within AWS Strong Python Cloud systems architecture and design Several years experience developing software solutions on cross-functional teams Understanding of machine learning concepts Desired Skills Software architecture and design experience Docker Kubernetes
Datarobot Columbus, United States
Oct 17, 2019
Job Summary DataRobot is seeking passionate Cloud Solutions Engineers to help us continue to build the best platform to enable the AI driven enterprise. Successful candidates will have a deep understanding of the cloud provider’s ML and Analytics solutions and hands on experience implementing solutions with them. The Cloud Solutions Engineer is also an experienced Python developer who will extend the DataRobot platform to enable seamless integrations. Responsibilities Identify, design, and develop Cloud-based integration solutions in close cooperation with multiple teams across DataRobot R&D. The Solutions Engineer is an expert in GCP capabilities and is able to help DataRobot create compelling integrations. The Solutions Engineer will often need other teams to develop aspects of the solution and must be able to communicate requirements and advocate for designs to be implemented by others. Develop backend systems for machine learning solutions Main Requirements Experience implementing production solutions based on ML and Analytics tools within GCP Strong Python Cloud systems architecture and design Several years experience developing software solutions on cross-functional teams Understanding of machine learning concepts Desired Skills Software architecture and design experience Docker Kubernetes
Datarobot Columbus, United States
Oct 17, 2019
Job Summary DataRobot is seeking passionate Cloud Solutions Engineers to help us continue to build the best platform to enable the AI driven enterprise. Successful candidates will have a deep understanding of the cloud provider’s ML and Analytics solutions and hands on experience implementing solutions with them. The Cloud Solutions Engineer is also an experienced Python developer who will extend the DataRobot platform to enable seamless integrations. Responsibilities Identify, design, and develop Cloud-based integration solutions in close cooperation with multiple teams across DataRobot R&D. The Solutions Engineer is an expert in the Azure's cloud platform capabilities and is able to help DataRobot create compelling integrations. The Solutions Engineer will often need other teams to develop aspects of the solution and must be able to communicate requirements and advocate for designs to be implemented by others. Develop backend systems for machine learning solutions Main Requirements Experience implementing production solutions based on ML and Analytics tools within Azure Strong Python Cloud systems architecture and design Several years experience developing software solutions on cross-functional teams Understanding of machine learning concepts Desired Skills Software architecture and design experience Docker Kubernetes
Datarobot Denver, US
Oct 17, 2019
Artificial Intelligence (AI) Support Engineer There is no hotter field than artificial intelligence, and DataRobot is at the forefront of the movement. The DataRobot AI Support Engineer is at the leading edge of helping global businesses achieve their AI objectives and realize incredible business impact through successful use of the DataRobot Automated Machine Learning Platform. Working with DataRobot customers, the AI Support Engineer assists customers use the DataRobot Platform. The AI Support Engineer is an excellent communicator, technically astute, with outstanding ability to communicate clearly about complex data science problems.  While the AI Support Engineer talks with customers, they also talk with DataRobot engineering and product management teams to perform advocacy on behalf of the customer.  At DataRobot we are launching a new era in support in which you assist customers, but you will also apply AI tools to better service our customers. Therefore, we are seeking candidates that are 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 and Automated Machine Learning. As an AI Support Engineer you will be working with data scientists, developers, and IT to help solve the most challenging AI, machine learning, and data science problems. What you will do: Respond to support request from customers about the DataRobot Platform Triage problems related to the DataRobot Platform and the customer enterprise Work with DataRobot subject matter experts, data scientists, and engineers to resolve customer issues Assist support management to develop support models that enable fanatical support Design support strategies and services to enable customers to gain optimal value from the platform Learn DataRobot Platform and keep learning and creating new products, features, and techniques Document customer problems and resolutions Develop a career in data science What you need: Experience with enterprise SaaS products or AWS Experience with support processes and procedures Data Analyst and Data Operations experience working with BI tools. Experience with SQL, R or Python Experience working with Linux Strong verbal and written communication skills 3+ years in an analytical or technical support role is ideal but if you just graduated and have a passion to learn we are interested Bachelor's degree in a relevant field (Computer Science, Statistics, Math) or equivalent experience  Bonus: A degree in statistics, math, computer science, or data science Experience with Jupyter or Anaconda Experience with Data Science, Data Analyst, Data Operations, or any experience working with big data.
Datarobot Boston, MA, USA
Oct 17, 2019
Data Scientist Boston, MA Responsibilities: Leading technical demonstrations for DataRobot, showing the end-to-end data science workflow. Develop mathematical and statistical models that solve the given use case, using the DataRobot software. Assist clients with developing models that add value to their organizations. Integrating models into client environments. Day-to-day data science problem solving mixed with high levels of customer interaction. Engage predictive modeling, predictive analytics and cloud computing platforms. Execute technical programming expertise; write code to show how other tools like Python and R can be integrated into a DataRobot workflow.   Requirements:  Bachelor’s degree in Computer Science, Information Technology, Statistics, Engineering, or related technical field; and 4 years experience as a Data Scientist or related role implementing predictive models. Employee may telecommute from any US location, including a home office.
Datarobot Kyiv, Ukraine
Oct 17, 2019
As our company is growing bigger, we can’t stop thinking of scaling our human resources team above and beyond and finding a perfect addition to our People Operations squad - a tech-savvy, curious and scrappy Talent Sourcer. You'll be involved in conducting an effective strategy for building talent pipelines and executing of the tactical research, events and sourcing campaigns. What do we look for in our perfect match: either in-house or agency experience with sourcing, working for a start-up/tech company from a similar space is a big plus; outstanding research and sourcing skills (you certainly have more than boolean search up your sleeve:) creative mind, able to come up with an unconventional strategy for building talent pipeline; deadline-driven, having strong project management, and prioritization skills; understanding what successful hiring experience entails; you’re highly strategic in your approach, partner with recruiters and hiring team to identify your target talent, know how to build your step-by-step search map; you’re comfortable leveraging other search channels/sources apart from LinkedIn which you also try to use to the fullest crafting the effective Boolean queries; you easily communicate with the search engines using “Boolean language” and are aware that X-Ray approach gives you tremendous opportunities to dig deeper into a specific site; your sourcing/recruiting toolbox is heavy with the instruments (email extractors, browser extensions, people aggregator tools) helping you gather a bunch of information on a prospect and so enabling you to make your initial approach personalized; Advanced English proficiency, either spoken and written, we operate in a multicultural environment and over-communicate, so that is somewhat essential. What will you do: source candidates for a current pipeline/future hiring needs in every possible way (Linkedin, social media, extensive name generation, taking advantage of user groups, blogs and other relevant spaces on the web); relentlessly serve as a company advocate through every contact you have with prospect/candidate; have a clear understanding of what winning messaging strategy entails; keep an eye on the existing database, continuously filling in the details, missing from the profiles; be knowledgeable about DataRobot and why people should work here. Why our team and DataRobot (you may already know why, but these are our insights): we believe that hiring is a team sport, so we are always willing to back you up, help you out and be responsible for your productivity and happiness; many of our team members have brains size of a planet, so a daily dose of inspiration and wow is guaranteed; no corporate bullshit, we love to work hard and have fun along; we’re at the forefront of scaling our team on the unprecedented pace, so you can gain the unique experience of working not simply harder, but smarter: making data-driven decisions, structuring recruiting processes and building best practices from scratch (think Google, Tesla, and other fast-growing giants)!
Datarobot Boston, United States
Oct 17, 2019
DataRobot is proudly expanding its enablement operations. We are seeking a technical person who can spearhead enablement efforts in support of our customer-facing engineering team. In this role you will deeply understand the technologies & processes employed by our customer facing engineers, and in turn teach/train and enable new hires to quickly ramp up to speed. The successful candidate will have a working knowledge of the various technologies we use to deploy our platform within client-organizations, including but not limited to: Hadoop, Domino, DataBricks, Python, R, C# and Java. In addition to these deep technical skills, a standout candidate will also have a working knowledge of various statistical and data science / machine learning techniques such as: Data preprocessing, Regression, Classification, Clustering. This role is based in Boston, MA. Supremely qualified candidates from other geographies in the USA are invited to apply for consideration.   About our field engineers: A field engineer at DataRobot supports both the sales and data science teams during presales and postsales. Pre-sales activities include but are not limited to security, architecture and POC-related discussions and support. Field Engineers usually have named accounts and are responsible for the successful maintenance of our platform. About You: Excellent writing and communication skills Experience installing, managing and supporting platforms running on Linux Data management/wrangling or software development experience Working knowledge of enterprise software with experience of supporting its deployment in large enterprise accounts Bonus: Experience of working with enterprise customers, providing engineering, infrastructure, and technical guidance and support Additional Bonus points: Experience with cloud IaaS providers (AWS EC2, Azure) Hadoop, Spark or BI expertise Bachelors in Computer Science, related field or equivalent demonstrable experience  
Datarobot Boston, United States
Oct 17, 2019
  The DataRobot documentation team serves two masters--we play a vital role in getting our customers up and running quickly and making sure that the details of our products are clearly described and easy to understand. We are also the internal go-to resource for the latest information on the DataRobot application. In short, we create world-class documentation to increase prospect conversion, customer adoption, and self-paced education. The ideal candidate has technical chops, demonstrably strong communication and writing skills, and can effectively interact with other writers, software developers, data scientists, product managers, and project leads. You must be equally comfortable arguing the Oxford comma (include, of course), UI consistency, and confusion matrices.  We are looking for writers with experience making complex ideas understandable and are open to candidates with a background in software engineering, technical writing, or the world of teaching, curriculum development, or scientific publication. Responsibilities Produce high-quality documentation for web-based applications Publish weekly Release Notes for our Cloud-delivered software for delivery to a broad group of internal and external partners Produce how-tos, tutorials, user guides, and knowledge base content Write software documentation from technical specifications, discussions with developers, and hands-on experimentation Contribute to doc standards, including participating in peer editing Update existing docs to reflect changes to functionality Edit existing developer-written content in preparation for publication Main Requirements Excellent, clear, clean, accessible writing; obsessive eye for consistency and technical accuracy Proven experience producing technical content for public consumption Laser focus on--and commitment to-- deadlines Ability to thrive, without much oversight, in a fast-paced, constantly changing environment Ability to manage multiple writing assignments simultaneously Bachelor’s degree and a minimum of 3 years professional work experience in technical documentation Experience with source control systems and workflow tools--Git, JIRA/Confluence A proactive and open-minded attitude to resolving problems and delivering results Desired Skills Experience with machine learning or data science preferable but not a strict requirement Experience with localization workflows Experience with Markdown and documentation workflows   Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot Boston, United States
Oct 17, 2019
Summary of Role DataRobot is seeking an experienced Telecommunications professional to lead our Telecommunications practice as Telecommunications General Manager (GM). The Telecommunications GM is responsible for developing and executing on the worldwide go-to-market strategy for DataRobot in Telecommunications including sales, marketing, partners, and product.  The Telecommunications GM will have an executive-level grasp of trends, business drivers, and priorities in Telecommunications combined with a viewpoint on the potential for machine learning to transform the industry. DataRobot is one of the hottest AI start-ups in the world and Telecommunications have unlimited potential to take advantage of machine learning to transform their business.  DataRobot is defining a category called automated machine learning and has already raised more than $225M from the likes of NEA, Intel Ventures and New York Life to fuel its expansive ambitions.   Responsibilities Develop comprehensive overall go-to-market strategy for DataRobot in Telecommunications. Work with Sales to implement a successful sales plan that exceeds revenue targets. Engage with Product to define and advocate for critical industry requirements. Collaborate with Marketing to develop a vertical specific marketing plan. Interact closely with Telecommunications customers to understand needs and drive adoption. Leverage relationships and contacts in the industry to enhance sales and marketing efforts. Establish DataRobot as a thought leader in the space through speaking engagements, interviews, writing, and other related means. Requirements 10+ years of experience working in the Telecommunications domain, with 5+ years in a leadership role in a line of business, internal department, analytics team, or consulting practice. Deep understanding of Telecommunications market/ products/ functions and an ability to be a thought leader in the space. Familiar with machine learning and data science and understand the key applications and use cases in Telecommunications. Hands-on data science expertise is a plus. Industry eminence: solid industry contacts, network, and meaningful relationships with many Telecommunications professionals. Excellent written and verbal communication skills and willingness to present at events and write Telecommunications related content in support of building the practice. Located in a key market for Telecommunications with an ability to travel 50%+.   Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot Columbus, United States
Oct 17, 2019
Summary of Role DataRobot is seeking an experienced Telecommunications professional to lead our Telecommunications practice as Telecommunications General Manager (GM). The Telecommunications GM is responsible for developing and executing on the worldwide go-to-market strategy for DataRobot in Telecommunications including sales, marketing, partners, and product.  The Telecommunications GM will have an executive-level grasp of trends, business drivers, and priorities in Telecommunications combined with a viewpoint on the potential for machine learning to transform the industry. DataRobot is one of the hottest AI start-ups in the world and Telecommunications have unlimited potential to take advantage of machine learning to transform their business.  DataRobot is defining a category called automated machine learning and has already raised more than $225M from the likes of NEA, Intel Ventures and New York Life to fuel its expansive ambitions.   Responsibilities Develop comprehensive overall go-to-market strategy for DataRobot in Telecommunications. Work with Sales to implement a successful sales plan that exceeds revenue targets. Engage with Product to define and advocate for critical industry requirements. Collaborate with Marketing to develop a vertical specific marketing plan. Interact closely with Telecommunications customers to understand needs and drive adoption. Leverage relationships and contacts in the industry to enhance sales and marketing efforts. Establish DataRobot as a thought leader in the space through speaking engagements, interviews, writing, and other related means. Requirements 10+ years of experience working in the Telecommunications domain, with 5+ years in a leadership role in a line of business, internal department, analytics team, or consulting practice. Deep understanding of Telecommunications market/ products/ functions and an ability to be a thought leader in the space. Familiar with machine learning and data science and understand the key applications and use cases in Telecommunications. Hands-on data science expertise is a plus. Industry eminence: solid industry contacts, network, and meaningful relationships with many Telecommunications professionals. Excellent written and verbal communication skills and willingness to present at events and write Telecommunications related content in support of building the practice. Located in a key market for Telecommunications with an ability to travel 50%+.   Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot Chicago, United States
Oct 17, 2019
Summary of Role DataRobot is seeking an experienced Telecommunications professional to lead our Telecommunications practice as Telecommunications General Manager (GM). The Telecommunications GM is responsible for developing and executing on the worldwide go-to-market strategy for DataRobot in Telecommunications including sales, marketing, partners, and product.  The Telecommunications GM will have an executive-level grasp of trends, business drivers, and priorities in Telecommunications combined with a viewpoint on the potential for machine learning to transform the industry. DataRobot is one of the hottest AI start-ups in the world and Telecommunications have unlimited potential to take advantage of machine learning to transform their business.  DataRobot is defining a category called automated machine learning and has already raised more than $225M from the likes of NEA, Intel Ventures and New York Life to fuel its expansive ambitions.   Responsibilities Develop comprehensive overall go-to-market strategy for DataRobot in Telecommunications. Work with Sales to implement a successful sales plan that exceeds revenue targets. Engage with Product to define and advocate for critical industry requirements. Collaborate with Marketing to develop a vertical specific marketing plan. Interact closely with Telecommunications customers to understand needs and drive adoption. Leverage relationships and contacts in the industry to enhance sales and marketing efforts. Establish DataRobot as a thought leader in the space through speaking engagements, interviews, writing, and other related means. Requirements 10+ years of experience working in the Telecommunications domain, with 5+ years in a leadership role in a line of business, internal department, analytics team, or consulting practice. Deep understanding of Telecommunications market/ products/ functions and an ability to be a thought leader in the space. Familiar with machine learning and data science and understand the key applications and use cases in Telecommunications. Hands-on data science expertise is a plus. Industry eminence: solid industry contacts, network, and meaningful relationships with many Telecommunications professionals. Excellent written and verbal communication skills and willingness to present at events and write Telecommunications related content in support of building the practice. Located in a key market for Telecommunications with an ability to travel 50%+. Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot New York, United States
Oct 17, 2019
Summary of Role DataRobot is seeking an experienced Telecommunications professional to lead our Telecommunications practice as Telecommunications General Manager (GM). The Telecommunications GM is responsible for developing and executing on the worldwide go-to-market strategy for DataRobot in Telecommunications including sales, marketing, partners, and product.  The Telecommunications GM will have an executive-level grasp of trends, business drivers, and priorities in Telecommunications combined with a viewpoint on the potential for machine learning to transform the industry. DataRobot is one of the hottest AI start-ups in the world and Telecommunications have unlimited potential to take advantage of machine learning to transform their business.  DataRobot is defining a category called automated machine learning and has already raised more than $225M from the likes of NEA, Intel Ventures and New York Life to fuel its expansive ambitions.   Responsibilities Develop comprehensive overall go-to-market strategy for DataRobot in Telecommunications. Work with Sales to implement a successful sales plan that exceeds revenue targets. Engage with Product to define and advocate for critical industry requirements. Collaborate with Marketing to develop a vertical specific marketing plan. Interact closely with Telecommunications customers to understand needs and drive adoption. Leverage relationships and contacts in the industry to enhance sales and marketing efforts. Establish DataRobot as a thought leader in the space through speaking engagements, interviews, writing, and other related means. Requirements 10+ years of experience working in the Telecommunications domain, with 5+ years in a leadership role in a line of business, internal department, analytics team, or consulting practice. Deep understanding of Telecommunications market/ products/ functions and an ability to be a thought leader in the space. Familiar with machine learning and data science and understand the key applications and use cases in Telecommunications. Hands-on data science expertise is a plus. Industry eminence: solid industry contacts, network, and meaningful relationships with many Telecommunications professionals. Excellent written and verbal communication skills and willingness to present at events and write Telecommunications related content in support of building the practice. Located in a key market for Telecommunications with an ability to travel 50%+. Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot Boston, United States
Oct 17, 2019
DataRobot’s Time Series Business is building the world’s most accurate, trusted, and automated forecasting technology. We work on new features spanning the core DataRobot application--from time series feature engineering and deep learning LSTMs, to rich visualizations, scalable architectures, and low-latency predictions. Time series forecasting is one of the hardest yet most valuable problems in data science, and you will work with an elite group within DataRobot that is pioneering new advances in machine learning and AI to solve the challenge. As the Time Series Product Lead, you will interact closely with time series customers, including some of the world’s largest retail and logistics companies, and the world’s largest banking and financial institutions. You will also work closely with an exceptional engineering team to plan feature development and to interface with the broader company.  Key responsibilities are to capture, synthesize, and communicate customer needs to engineering, balancing strategic vision with a no-excuses emphasis on execution.  Day to day, you will work with engineers and designers to define requirements and stories, with marketers to clarify product positioning and messaging, and with customers to make sure that our new features maximizes their success. You will serve as the internal and external evangelist for our product, often working with the sales channel and key customers. Ideal candidates enjoy data science, complex problem-solving, and high levels of customer interaction.  Responsibilities Solicit and capture product ideas from outside and inside the company Deliver product requirements with prioritized features and corresponding justification Act as an effective liaison between engineering/data science and marketing/sales teams Work with DataRobot’s executive team to define the product strategy and roadmap Design and lead beta programs with select customers Act as a thought leader within the company   Requirements 3+ years of software product management experience with demonstrated success Excellent teamwork and written/verbal communication skills Ability and eagerness to learn quickly Experience with data analysis Computer Science, Engineering, or quantitative degree, or equivalent experience   Plus Hands-on data science or predictive analytics experience with Python or R Advanced degrees in a relevant field (such as statistics, computer science, physics, or MBA) Experience in a fast-paced startup environment User experience design skills   Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot Boston, United States
Oct 17, 2019
Summary of Role DataRobot is seeking an experienced Transportation professional to lead our Transportation practice as Transportation General Manager (GM). The Transportation GM is responsible for developing and executing on the worldwide go-to-market strategy for DataRobot in Transportation including sales, marketing, partners, and product.  The Transportation GM will have an executive-level grasp of trends, business drivers, and priorities in Transportation combined with a viewpoint on the potential for machine learning to transform the industry. DataRobot is one of the hottest AI start-ups in the world and Transportation has unlimited potential to take advantage of machine learning to transform their business.  DataRobot is defining a category called automated machine learning and has already raised more than $225M from the likes of NEA, Intel Ventures and New York Life to fuel its expansive ambitions.   Responsibilities Develop comprehensive overall go-to-market strategy for DataRobot in Transportation. Work with Sales to implement a successful sales plan that exceeds revenue targets. Engage with Product to define and advocate for critical industry requirements. Collaborate with Marketing to develop a vertical specific marketing plan. Interact closely with Transportation customers to understand needs and drive adoption. Leverage relationships and contacts in the industry to enhance sales and marketing efforts. Establish DataRobot as a thought leader in the space through speaking engagements, interviews, writing, and other related means. Requirements 10+ years of experience working in the Transportation domain, with 5+ years in a leadership role in a line of business, internal department, analytics team, or consulting practice. Deep understanding of Transportation market/ products/ functions and an ability to be a thought leader in the space. Familiar with machine learning and data science and understand the key applications and use cases in Transportation. Hands-on data science expertise is a plus. Industry eminence: solid industry contacts, network, and meaningful relationships with many Transportation professionals. Excellent written and verbal communication skills and willingness to present at events and write Transportation related content in support of building the practice. Located in a key market for Transportation with an ability to travel 50%+. Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Datarobot Columbus, United States
Oct 17, 2019
Summary of Role DataRobot is seeking an experienced Transportation professional to lead our Transportation practice as Transportation General Manager (GM). The Transportation GM is responsible for developing and executing on the worldwide go-to-market strategy for DataRobot in Transportation including sales, marketing, partners, and product.  The Transportation GM will have an executive-level grasp of trends, business drivers, and priorities in Transportation combined with a viewpoint on the potential for machine learning to transform the industry. DataRobot is one of the hottest AI start-ups in the world and Transportation has unlimited potential to take advantage of machine learning to transform their business.  DataRobot is defining a category called automated machine learning and has already raised more than $225M from the likes of NEA, Intel Ventures and New York Life to fuel its expansive ambitions.   Responsibilities Develop comprehensive overall go-to-market strategy for DataRobot in Transportation. Work with Sales to implement a successful sales plan that exceeds revenue targets. Engage with Product to define and advocate for critical industry requirements. Collaborate with Marketing to develop a vertical specific marketing plan. Interact closely with Transportation customers to understand needs and drive adoption. Leverage relationships and contacts in the industry to enhance sales and marketing efforts. Establish DataRobot as a thought leader in the space through speaking engagements, interviews, writing, and other related means. Requirements 10+ years of experience working in the Transportation domain, with 5+ years in a leadership role in a line of business, internal department, analytics team, or consulting practice. Deep understanding of Transportation market/ products/ functions and an ability to be a thought leader in the space. Familiar with machine learning and data science and understand the key applications and use cases in Transportation. Hands-on data science expertise is a plus. Industry eminence: solid industry contacts, network, and meaningful relationships with many Transportation professionals. Excellent written and verbal communication skills and willingness to present at events and write Transportation related content in support of building the practice. Located in a key market for Transportation with an ability to travel 50%+. Individuals seeking employment at DataRobot are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.