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Technical Sales Engineer jobs in Germany

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1,401 jobs found
Today
MDB

MongoDB Technical Project Manager Germany, Bavaria, Munich

Limitless High-tech career opportunities - Expoint
Ideally 3-8 years of related experience in a customer facing role, with 3 years of experience in pre-sales with enterprise software. Minimum of 3 years experience with modern scripting languages...
Description:
As an ideal candidate, you will have:
  • Ideally 3-8 years of related experience in a customer facing role, with 3 years of experience in pre-sales with enterprise software
  • Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
  • Significant experience in automated performance testing, including writing test plans, executing tests on tools like Locust, Gatling, jMeter, etc, and interpreting results using tools like Grafana, Prometheus, Kibana, etc
  • Knowledge of infrastructure deployments for distributed systems such as Cloud Providers (AWS, GCP, Azure) and on-prem systems (VMWare, OpenShift, Kubernetes)
  • Ability to project manage cross-functional teams
  • Experience designing with scalable and highly available distributed systems in the cloud and on-prem
  • Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
  • Significant experience with data modeling relational databases and NoSQL databases like MongoDB
  • Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
  • Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
  • The ability to travel up to 20%
  • A Bachelor’s degree or equivalent work experience
You may also have:
  • Experience selling databases and/or deploying applications with any of the major cloud providers
  • Experience in data engineering or AI/ML projects
  • Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
  • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
  • A MongoDB Certification
  • A Cloud Provider Certification

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

  • Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
  • Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
  • Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
  • Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
  • Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
MongoDB Product Suite Mastery:
  • Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
  • Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
  • Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
  • Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
  • Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
  • Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
  • Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills:
  • Effective Communication: Master presentations, demonstrations, and whiteboarding
  • Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
  • Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
$180,000 USD
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Yesterday
BS

Boston Scientific Regional Sales Manager Coronary Therapies m/w/d Germany, North Rhine-Westphalia, Mülheim an der Ruhr

Limitless High-tech career opportunities - Expoint
Driving complex engineering work in one or more of the following: technology development, product design and development, test method development, research investigation (animal and clinical studies). Developing strategies to align...
Description:


Your responsibilities will include:

  • Driving complex engineering work in one or more of the following: technology development, product design and development, test method development, research investigation (animal and clinical studies).
  • Developing strategies to align business and therapy needs with technology development.
  • Solving engineering problems by analyzing the situation and recommending solutions or alternative actions through the design & execution of structured experimental plans.
  • Training and/or provide work direction to technicians and other engineers
  • Creating a strong team culture around high expectations, accountability & performance.
  • Providing clear communication to stakeholders at key technical updates.
  • Leveraging internal/external partners as necessary to achieve project objectives.
  • Understanding clinical use cases and user interface requirements to drive design decisions.
  • Documenting development by writing documents, reports, memos, change requests.
  • In all actions, demonstrating a primary commitment to patient safety and product quality by maintaining compliance to all documented quality processes and procedures.

Required qualifications:

  • BS degree in Optical Engineering, Mechanical Engineering, Biomedical Engineering, Material Science, or equivalent.
  • 6+ years of engineering work experience (preferably in medical device or related field) with Bachelor’s degree, 4+ years of engineering experience with a Master’s degree, or 2+ year’s experience with a PhD degree.
  • Experience with catheter design and development.
  • Experience with Design Controls & Risk Management practices.
  • Demonstrated strong cross-functional collaboration, influence without authority, and project/task management enabling efficient task completion.
  • Experience leading other team members and building strong personal credibility & excellent communication skills.
  • Proven technical leadership in medical device or healthcare related industry.
  • Ability to travel 15% of time.

Preferred qualifications:

  • Relevant experience in fiber optic product development and/or processing (e.g. polishing, cleaving, splicing, tapering, cleaning, fiber process development).
  • Proficient in designing and prototyping products, components, assemblies, and/or fixturing utilizing SolidWorks.
  • Experience with medical device development for single use devices.
  • Comfortable working ‘in the gray’; known for innovative, out of the box thinking to identify new approaches to meet requirements.
  • Experience developing relationships and motivating a high performance technical team.
  • Personal drive, individual accountability & a strong bias for action.
  • An independent critical thinker; willingness to challenge status quo.

Maximum Salary: $ 156900

Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).


For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.

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Yesterday
A

Adidas SALES PLANNER Germany, North Rhine-Westphalia

Limitless High-tech career opportunities - Expoint
Support go-to-market milestones and planning initiatives with sales and account teams. Build financial plans across categories that align account KPIs with brand shipment targets. Analyze in-season performance and provide recommendations...
Description:

KEY RESPONSIBILITIES

  • Support go-to-market milestones and planning initiatives with sales and account teams

  • Build financial plans across categories that align account KPIs with brand shipment targets

  • Analyze in-season performance and provide recommendations to improve results

  • Prepare weekly, monthly, and quarterly reports for internal stakeholders

  • Manage franchise, key item, and replenishment forecasts to optimize inventory

KEY RELATIONSHIPS

Sales Management Finance Marketing Retailer

KNOWLEDGE SKILLS AND ABILITIES

  • Strong understanding of retail math and sell through data

  • Ability to build and flow product assortments based on trends and account needs

  • Strategic thinker with ability to synthesize data and develop solutions

  • Skilled in cross-functional collaboration in fast-paced environments

  • Advanced presentation and communication skills across business levels

REQUISITE EDUCATION AND EXPERIENCE MINIMUM QUALIFICATIONS

  • Four-year degree in Business, Merchandising, or related field preferred

  • Minimum two years of experience in merchandise planning, buying, or financial forecasting

  • Industry experience preferred but not required

  • Advanced Excel skills required

THROUGH SPORT WE HAVE THE POWER TO CHANGE LIVES

  • adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.
  • adidas offers a robust and progressive range of benefits, including: health and dental benefits, including prescription drug coverage, out of country coverage, short and long-term disability, basic life and AD&D insurance, and an Employee & Family Assistance Program. Employees are able to enroll in adidas’ Retirement Savings Plan with employer match. Qualifying employees are eligible for our education assistance program and fitness reimbursement program
  • Employees are eligible to earn ​an annual bonus based on both company and personal performance.​ We recognize the commitment of our employees by increasing vacation time with length of service. We also offer Service Awards & Service Time Off during milestone years, paid bereavement leave, and parental leave top-up to eligible employees.
  • At adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday. The working location of this position is Woodbridge, ON.
  • Though our teammates hail from all corners of the world, our working language is English.
  • adidas is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates, including those with Disabilities, and will accommodate applicants’ needs, upon request, throughout all stages of the recruitment and selection process. If selected to participate in an interview, accommodations will be made available on request. Please inform the Recruiter of the accommodation(s) that you may require. Information received relating to accommodation will be addressed confidentially.
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Yesterday
BS

Boston Scientific Senior Data Platform & MLOps Engineer EMEA - Dusseldorf Germany, North Rhine-Westphalia, Dusseldorf

Limitless High-tech career opportunities - Expoint
Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability. Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time‑to‑data,...
Description:

ADay in the Lifeof the EMEA AI Product Owner:

You’ll begin your day translating business needs into technical requirements, prioritizing features in the backlog, and overseeing the AI product lifecycle to ensure successful, ethical, and valuable implementations. Key responsibilities include defining success criteria, collaborating with data scientists and engineers, and bridging the gap between business goals and AI capabilities.

You will work on initiatives like AgentForce AI, PACE and other new AI opportunities in the region.

You will collaborate with the AI Product Managers, Data Engineering, Platform, Architecture, and Governance teams to clarify data contracts, schemas, lineage, and access models, ensuring each increment is production-ready and guided by design. You’ll groom the roadmap and write user stories to add to the backlog, break down epics, refine acceptance criteria, and balance new features with technical debt, observability, and cost efficiency. You’ll demo recent increments, gather user feedback, and turn it into testable stories that enhance usability, trust, and performance. You’ll brief sponsors on the value delivered and present investment options for the next phases.

Your role is more technically demanding, requiring an understanding of AI technologies and ethical considerations. You must navigate challenges like data privacy and compliance with data protection regulations. Additionally, you will manage AI bias by providing diverse datasets for model training and using bias detection mechanisms to monitor AI outputs.

On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.

As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.


The role:

Reporting to the Product Ownership Sr Manager, the EMEA AI Product Owner is accountable for the dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of AI technology expertise, stakeholder leadership, and hands-on ownership to deliver secure, compliant solutions for the EMEA region.

Key Responsibilities:

  • Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
  • Value & metrics: Establish VIPs/KPIs/OKRs (adoption, timetodata, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
  • Privacy and Data Governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
  • Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting countryspecific requirements.
  • Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
  • Incident, risk & release management: Triage issues, lead RCA, and prioritize preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
  • Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
  • Financial stewardship: Own product budgets/forecasts, track benefits realization and ROI, report performance and outcomes to sponsors and Finance partners.
  • Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

  • Bachelor’s in Business, Computer Science, Engineering, or related field.
  • 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Experience in medtech, pharma/consulting is a plus.
  • Strong understanding of AI, machine learning, and data science concepts. Proven success delivering AI products from concept to scaled adoption. Strong understanding of ethical AI considerations.
  • Excellent communication and collaboration skills.
  • Experience in defining product roadmaps and requirements.
  • Familiarity with AI tools and a data-driven approach.
  • Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
  • Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
  • Excellent communication and facilitation, able to influence executive, technical, and nontechnical audiences.
  • Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

  • Ownership mindset with high accountability for user satisfaction and product reliability.
  • • Pragmatic product instincts: you simplify, focus, and drive value creation and delivery of AI products
  • • Learning agility and curiosity about emerging capabilities and responsible ways to apply them.

What do we offer:

  • A chance to drive innovation by delivering meaningful AI solutions across the EMEA region.
  • A collaborative, global network and supportive coaching culture focused on your growth.
  • Opportunities to lead high
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Yesterday
BS

Boston Scientific Clinical Sales Rep - WATCHMAN m/w/d Germany, Baden-Württemberg, Stuttgart

Limitless High-tech career opportunities - Expoint
Lead, mentor, and develop a high-performing team within AI and automation delivery. Foster a culture of continuous learning and professional growth through structured upskilling, coaching, and capability-building. Set clear goals...
Description:

Your responsibilities will include:

Team leadership and development

  • Lead, mentor, and develop a high-performing team within AI and automation delivery

  • Foster a culture of continuous learning and professional growth through structured upskilling, coaching, and capability-building

  • Set clear goals and performance expectations, ensuring accountability and high-quality results

  • Promote collaboration, innovation, and knowledge-sharing within the team and across functions

AI and automation delivery

  • Drive execution of AI and automation initiatives that support Boston Scientific’s business objectives

  • Partner closely with stakeholders to identify opportunities, define requirements, and deliver impactful automation solutions

  • Collaborate with cross-functional teams to ensure alignment on priorities, timelines, and outcomes

  • Measure and track success metrics to demonstrate business value and scalability

Strategic partnership in AI

  • Serve as a thought partner to senior leaders, contributing ideas on AI strategy, trends, and best practices

  • Stay informed on emerging technologies and approaches, assessing their relevance and potential impact on the business

  • Represent the AI and automation team in business discussions, bridging technical expertise with organizational needs

  • Support the evolution of Boston Scientific’s AI roadmap and capability maturity

Qualifications:

Required qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field

  • Minimum of 5 years' experience in AI, intelligent automation (RPA, ML, NLP, etc.), digital transformation, or related fields

  • Demonstrated ability to deliver impactful AI and automation solutions with measurable business value

  • Strong collaboration and communication skills, with the ability to influence stakeholders and work across functions

  • Growth mindset with a focus on continuous learning, upskilling, and developing others

Preferred qualifications:

  • Master’s degree in a relevant field

  • Prior experience leading projects, mentoring peers, or informal team leadership

  • People management experience (direct or indirect)

  • Passion for emerging technologies and their application in solving business challenges

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Yesterday
MDB

MongoDB Technical Project Manager Germany, Hesse, Frankfurt

Limitless High-tech career opportunities - Expoint
Agile mindset with an understanding of SCRUM/Kanban processes. Able to support a project team consisting of onsite, co-located and remote team members. Be able to proactively identify and remove impediments....
Description:

This role can be based in Germany

Position Expectations
  • Agile mindset with an understanding of SCRUM/Kanban processes
  • Able to support a project team consisting of onsite, co-located and remote team members
  • Be able to proactively identify and remove impediments
  • Manage project risks and issues
  • Define and refine project team’s “Way of Working”
  • Streamline communications between the project team and project stakeholders
  • Able to manage expectations of project stakeholders, where the majority are leaders within the organization
  • Operate in a small, dynamic, fast-growing team, able to be self-sufficient with an ability to have a can-do attitude and make oneself accountable
  • Act as a liaison between the customer, project team and the rest of MongoDB (sales, customer success, support, product and engineering) throughout an engagement
  • Create plans and priorities for both project delivery and customer resources. Guide customer as well as project team members to a successful business outcome by managing the client relationship and setting and managing customer expectations during implementations
  • Establish and lead recurring project status or governance meetings, including preparation of materials and working with customer project manager and key internal and external stakeholders to review key project information and maintain visibility and accountability
  • Periodically report, in a concise and actionable manner, project status both internally as well as to the customer and document project progress as per established best practices (meeting minutes, project plan updates, weekly status reports)
  • Manage escalations or critical situation
  • Assist with scoping of solution and project scope definition
  • Adopt a consultative and prescriptive approach that inspires trust and confidence
  • Be intrigued by the possibilities of genAI to assist in accelerating the delivery of projects
Requirements
  • 5+ years of project management experience with enterprise-scale software solutions, large-scale software engineering or consulting services delivery experience preferred
  • Excellent customer interaction and presentation skills (ability to present to different audiences and bring the message across in a concise, professional manner)
  • Demonstrated belief in the power of stakeholder management and communications; track record of affecting change through stakeholder engagement
  • Services delivery experience with development or operation teams is a plus
  • Ability to travel and work on customer sites for a number of continuous weeks
  • Fluent level of German language in addition to English
Nice-to-have skills
  • Experience as a SCRUM master
  • Experience in managing projects with a high degree of uncertainty (research and innovation)
  • Experience in delivering software development projects (ideally modernization of a legacy application)
  • Experience with JIRA / Project tools
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Yesterday
JE

Johnson Electric Systems Engineer Germany, North Rhine-Westphalia, Aachen

Limitless High-tech career opportunities - Expoint
Develop mechatronic systems according to the V-Model in compliance with automotive standards. Understand system requirements on a multi-disciplinary level, define sub-systems and interfaces. Coordinate with global expert teams. Design and...
Description:

As a Systems Engineer, you will support global project teams in designing system architecture, managing requirements, and performing component and system testing. Working in a cross-functional team, you’ll help develop integrated mechatronic systems for automotive applications, combining hydraulic systems with motors, controllers, and software. You will also contribute to process improvements and testing through bench and vehicle integration.

Your Responsibilities will be to:

  • Develop mechatronic systems according to the V-Model in compliance with automotive standards

  • Understand system requirements on a multi-disciplinary level, define sub-systems and interfaces

  • Coordinate with global expert teams

  • Design and develop systems and system architectures based on customer requirements and for internal development activities

  • Support in defining the testing strategy and scope and support testing and validation on system and integration level

  • Work closely with customer and inter-company development team

Our requirements:

  • Master's degree in Mechanical Engineering, Systems Engineering or related fields

  • Relevant experience of ideally 2-3 years in a similar position

  • Proficiency in reading technical drawings and ability to create, interpret schematics and diagrams

  • Able to navigate in CAD systems and able to understand FEA and CFD results

  • Practical experience in mechanical and hydraulic systems

  • Solid experience in common development tools (e.g. Matlab, Simulink)

  • Familiarity with tools which manage requirements (e.g. Doors, Helix) is a plus

  • Solid understanding of physical principles

  • Excellent team player with a proactive, hands-on attitude, strong communication and problem-solving skills

  • Proficiency in English (both spoken and written), while proficiency in German is highly preferred

What we offer:

  • Top-industry compensation and benefits package

  • Work-life balance: through flexible working hours and 6 weeks of vacation

  • The opportunity to develop your professional skills thanks to the wide range of products we manufacture

  • Modern workspaces, good transport connections, free parking in the car park, health promotion, business bike, company pension scheme, regular company events, company football, and much more


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Limitless High-tech career opportunities - Expoint
Ideally 3-8 years of related experience in a customer facing role, with 3 years of experience in pre-sales with enterprise software. Minimum of 3 years experience with modern scripting languages...
Description:
As an ideal candidate, you will have:
  • Ideally 3-8 years of related experience in a customer facing role, with 3 years of experience in pre-sales with enterprise software
  • Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
  • Significant experience in automated performance testing, including writing test plans, executing tests on tools like Locust, Gatling, jMeter, etc, and interpreting results using tools like Grafana, Prometheus, Kibana, etc
  • Knowledge of infrastructure deployments for distributed systems such as Cloud Providers (AWS, GCP, Azure) and on-prem systems (VMWare, OpenShift, Kubernetes)
  • Ability to project manage cross-functional teams
  • Experience designing with scalable and highly available distributed systems in the cloud and on-prem
  • Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
  • Significant experience with data modeling relational databases and NoSQL databases like MongoDB
  • Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
  • Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
  • The ability to travel up to 20%
  • A Bachelor’s degree or equivalent work experience
You may also have:
  • Experience selling databases and/or deploying applications with any of the major cloud providers
  • Experience in data engineering or AI/ML projects
  • Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
  • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
  • A MongoDB Certification
  • A Cloud Provider Certification

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

  • Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
  • Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
  • Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
  • Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
  • Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
MongoDB Product Suite Mastery:
  • Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
  • Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
  • Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
  • Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
  • Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
  • Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
  • Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills:
  • Effective Communication: Master presentations, demonstrations, and whiteboarding
  • Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
  • Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
$180,000 USD
Show more
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