Total 8 job vacancies by Devoteam

The Technical Writer will be responsible for the following activities: 

• Creating and maintaining project documents, such as plans, reports, and meeting minutes. Ensuring all documents are accessible and up-to-date.
• Facilitating communication between team members, stakeholders, and clients. This may involve scheduling meetings, taking notes, and distributing information
• Ensuring project documents are clear, accurate, and meet quality standards. Identifying and correcting errors or inconsistencies.
• Implementing and managing quality control measures to ensure project deliverables meet expectations.
• Understanding and utilising project management software and other relevant tools.

Responsibilities:

• Identify and research potential clients
• Develop and maintain client relationships
• Coordinate with sales team to develop mutually beneficial proposals
• Negotiate contract terms with clients and communicate with stakeholders
• Monitor project teams to ensure contracts are executed as agreed
• Gather useful information from customer and competitor data
• Make and give presentations to prospective clients and internal executives
• Create and implement processes and policies to support the overall business
• Track and report on the status of proposal components
• Conduct ongoing market research
• Drive the end-to-end sales process
• Prepare and submit sales contracts

Devoteam G Cloud helps customers transform and build what's next for their business — all with technology built in the cloud. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of Google Cloud technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Responsibilities:

• Handle and manage end-to-end HRGA Matters, from recruitment to termination
• Perform the onboarding processes for each employees
• Be in contact with management for Manpower planning and strategies for HR function
• Proactively improve and increase productivity of the workforce
• Handle legal general affairs matters such as employment working contract, customer contract, customer contract, permit, building licenses, etc.
• Ensure highest quality of work from the HRGA function include empowering environment and proper workplace
• Handle and overview data of manpower and HRIS input processes
• Create, track and develop training and learning programs that support the needs of the organization
• To provide HRGA information and support in KPI/analysis to the local management and group, if required
• Ad hoc activities

In this context, you’ll be joining as Presales, and reporting to the Sales Lead. As Presales, you will also assist cross-departments such as Marketing and Sales teams. Presales will design and conceptualise solutions based on Google products to help our customers, prepare Google Cloud Platform and Professional Services pricing implementation, plan a development and production strategy, and many more to support the Sales and Marketing team.

The Pre-Sales will be responsible for the following activities: 

• Understand customer needs: Presales work closely with potential customers to understand their business goals, challenges, and IT infrastructure. This involves conducting interviews, reviewing existing documentation, and analyzing customer data.
• Identify GCP solutions: Once you have a good understanding of the customer's needs, Presales identify the GCP products and services that can best address those needs. This involves considering the customer's budget, timeline, and technical requirements.
• Develop solution architecture: Presales then develop a solution architecture that leverages the identified GCP products and services to create a comprehensive solution for the customer. This involves considering factors such as scalability, performance, security, and cost-effectiveness.
• Create a business case: Presales develop a compelling business case that demonstrates the value of adopting GCP solutions to the customer. This involves quantifying the benefits of GCP, such as cost savings, increased productivity, and improved agility.
• Present solutions to customers: Presales effectively present their proposed solution to potential customers, using clear and concise language that resonates with their business needs. They also answer any technical questions that the customer may have.
• Negotiate contracts: Presales participate in contract negotiations with potential customers, ensuring that the terms and conditions are aligned with both parties' needs.
• Staying up-to-date on the latest GCP products and services.
• Developing and delivering technical demos and presentations.
• Creating and managing customer proposals and quotes.
• Training and mentoring other Presales GCP professionals.

Devoteam G Cloud helps customers transform and build what's next for their business — all with technology built in the cloud. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of Google Cloud technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As Account Executive, you will have to manage and oversees account in sales work, ensuring to meet all sales target but not limited to build and maintain relationships with clients, develop and implement strategic plans to grow account, and identifying new business opportunities, coordinate with internal teams to deliver on client expectations and supervise workforce to its efficiency.

Responsibilities:

• Create detailed business plans designed to attain predetermined goals and quotas
• Manage the entire sales cycle from finding a client to securing a deal
• Unearth new sales opportunities through networking and turn them into long-term partnerships
• Present products to prospective clients
• Provide professional after-sales support to maximize customer loyalty
• Remain in regular contact with your clients to understand and meet their needs
• Respond to complaints and resolve issues to the customer’s satisfaction and to maintain the company’s reputation
• Negotiate agreements and keep records of sales and data

As a Customer Engineer, you will work closely with business development and Sales teams as AI/ML subject matter experts to position the value of Google Cloud to our strategic Startup customers. Your experience and thought leadership will support Google Cloud sales teams to incubate, pilot, and deploy Google Cloud’s industry leading AI/ML accelerators (TPU/GPU) at early stage AI startups. You will help customers innovate faster with state of the art solutions using Google Cloud’s flexible and open infrastructure.

In this role, you will help several AI Startups to understand the power of Google Cloud, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks. You will identify and assess large-scale AI opportunities that would benefit from AI optimized infrastructure. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will also have the opportunity to help customers to leverage specialized machine learning (ML) hardware developed by Google (e.g., Tensor Processing Unit). You will work closely with customers and product development to shape the TPU platform.

Responsibilities

• Work with the AI incubation team to identify and qualify business opportunities, understand key customer technical requirements or objections, and develop the strategy to resolve technical blockers.
• Be a trusted advisor to our strategic AI startup customers, to ensure overall cloud strategy, recommending migration approaches, integration strategies, and architecture that leverage Google Cloud AI components and optimized infrastructure.
• Help to understand and incorporate AI accelerators (e.g., GPUs or TPUs) into overall machine learning systems.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on demonstrating features, optimizing model performance, profiling, and benchmarking.
• Influence Google Cloud strategy at the intersection of AI/ML expertise and infrastructure by regular interaction with Product groups.

Minimum qualifications:

• Experience with coding in standard programming frameworks (e.g., Python or R) and machine learning frameworks (e.g., Tensorflow, Pytorch, Keras, etc.).
• Experience with Cloud Computing as a technical sales engineer or in a customer-facing role, within a startup ecosystem.
• Experience with AI cloud infrastructure (e.g., hardware shapes, sizes, auto-scaling, auto-provisioning, etc.).

Preferred qualifications:

• Experience with designing, building, and operating machine learning solutions leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolution networks, etc.).
• Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with AI accelerators.
• Experience leveraging Cloud-based machine learning solutions.
• Experience with containerization and Kubernetes within the cloud.
• Ability to engage with C-level or executive business leaders and influence decisions.
• Passion for machine learning operations approaches, conceptual related frameworks, and technical implementation based on CI/CD.

Responsibilities:

• Set and manage sales target in monthly and annual bases
• Create sales plan and seek profitable product and services
• Manage budget control
• Create group vision and by understanding company vision and able explain it to each member
• Lead and support team members to achieve group target and each member individual target
• Providing training professional development to the sales team
• Assisting sales team members to build quality relationships with customers
• Developing strategies for increasing market share
• Ensuring that sales team members follow up with potential customers
• Generating report and data for sales analysis
• Handling escalated client objections and concerns to support other members of the sales team

As a Machine Learning Engineer your mission consists of implementing new AI solutions and concepts based on Google products in order to help our customers leverage their data. In collaboration with Google themselves, you will perform advanced data mining analysis and will create state of the art models.

If you are willing to work in a dynamic environment and make the difference in our organisation, then keep on reading to see what we have to offer 

What we are looking for:

• You love building stuff, not because it’s your duty, but because you actually like it
• You are eager to learn and become an expert on Google Cloud Platform technologies and specialise in Machine Learning  
• Experience with Machine Learning and Data processing is required
• Experience with Python, Software Engineering and Tensorflow or Pytorch is required
• Experience with Google Cloud or other Cloud providers is a plus
• Excellent collaboration & communication skills - with internal and external stakeholders
• You have fast-growth aspirations
• You are proactive in everything you do
• You're willing to work on multiple projects and assignments
• You believe that self-development is key to success
• You speak French or Dutch and English 

What we have to offer:

• An exciting job where innovation in technology is not a buzzword but a reality
• Be part of a  dynamic team that is developing  a new innovative data engineering solution on Google Cloud.
• A place where you can learn and grow as a data engineer, data scientist, software engineer, solution architect, team leader or whatever your ambitions are
• Continuous training & development of soft- and hard skills, including training at several Google locations
• A competitive salary, inline with your profile
• An awesome team of colleagues & regular team building activities
• The ability to work with the world’s leading companies in technology and innovation