Benefits:

• Competitive salary

• Learning & development stipend

• Equipment of choice

• (Mental) health support

• Generous paid time off

Benefits:

• Be part of a mission-driven team transforming the IP industry with AI-powered solutions.

• Work in a collaborative, entrepreneurial environment where your voice matters.

• Enjoy opportunities for professional growth and development as we scale.

• Make a tangible impact on our clients and the innovation ecosystem.

Experience Requirements:

• at least 2 years as a BDR, demonstrating excellence in handcrafted, highly qualitative prospection on an educated and demanding persona.

• 2 to 3 years of experience as an AE in a demanding vertical SaaS environment, with a strong record of managing complex enterprise sales cycles.

• Proven successful track record of selling $50k to $250k ACV software solutions.

• Ability to lead complex, multi-threaded sales with stakeholders ranging from executives to daily users – especially the ability to convey technical concepts to non-technical audiences.

Other Requirements:

• True hunter profile

• Excited about prospecting, and capable of independently leading a full sales cycle from start to finish.

• Demonstrated passion for DeepIP’s mission and a strong understanding of AI and its potential applications in the IP sector.

• Understand DeepIP’s business model and implements sales strategies in order to capitalize on opportunities and reduce competitive threats.

• Team player who can collaborate effectively across functions.

• Constantly leads by example through impeccable integrity, professionalism, and a customer-centric mindset.

Responsibilities:

• Create and oversee a targeted account list, handling every stage of the sales process from initial outreach, demonstrating the product, closing contracts, and nurturing the relationship.

• Master MEDDIC, maintain excellent pipeline documentation & hygiene in CRM, ensure a 3X pipeline coverage, and achieve your quota consistently.

• Establish and maintain strong, long-lasting relationships with key decision-makers and stakeholders, gaining a deep understanding of their challenges.

• Work collaboratively with different departments, particularly marketing and product teams, to represent market insights, enhance messaging, and drive the product roadmap forward.

• Deliver product demos and presentations to demonstrate the value of DeepIP

Benefits:

• Be part of a mission-driven team transforming the IP industry with AI-powered solutions.

• Work in a collaborative, entrepreneurial environment where your voice matters.

• Enjoy opportunities for professional growth and development as we scale.

• Make a tangible impact on our clients and the innovation ecosystem.

Experience Requirements:

• at least 2 years as a BDR, demonstrating excellence in handcrafted, highly qualitative prospection on an educated and demanding persona.

• 2 to 3 years of experience as an AE in a demanding vertical SaaS environment, with a strong record of managing complex enterprise sales cycles.

• Proven successful track record of selling $50k to $250k ACV software solutions.

• Ability to lead complex, multi-threaded sales with stakeholders ranging from executives to daily users – especially the ability to convey technical concepts to non-technical audiences.

Other Requirements:

• True hunter profile

• Excited about prospecting, and capable of independently leading a full sales cycle from start to finish.

• Demonstrated passion for DeepIP’s mission and a strong understanding of AI and its potential applications in the IP sector.

• Understand DeepIP’s business model and implements sales strategies in order to capitalize on opportunities and reduce competitive threats.

• Team player who can collaborate effectively across functions.

• Constantly leads by example through impeccable integrity, professionalism, and a customer-centric mindset.

Responsibilities:

• Create and oversee a targeted account list, handling every stage of the sales process from initial outreach, demonstrating the product, closing contracts, and nurturing the relationship.

• Master MEDDIC, maintain excellent pipeline documentation & hygiene in CRM, ensure a 3X pipeline coverage, and achieve your quota consistently.

• Establish and maintain strong, long-lasting relationships with key decision-makers and stakeholders, gaining a deep understanding of their challenges.

• Work collaboratively with different departments, particularly marketing and product teams, to represent market insights, enhance messaging, and drive the product roadmap forward.

• Deliver product demos and presentations to demonstrate the value of DeepIP

Benefits:

• Flexible Working: remote-first with flexibility for you to manage work and life as you need.

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Learning Budget - Study leave and an annual budget for you to put towards your learning and development.

• Private Health Insurance (SGMM).

• Parental Leave: 20 weeks paid primary carer leave, and 6 weeks paid secondary carers leave.

Experience Requirements:

• 1 –2 years of sales or SDR experience under your belt, ideally in a SaaS or tech environment.

Other Requirements:

• Pro at outbound prospecting and know how to get a conversation started.

• Fluent in both English and Spanish, with stellar written and verbal communication skills.

• Know your way around HubSpot (or similar CRMs) and other sales automation tools.

• Organised, resilient, and comfortable in a quota-carrying environment.

• Growth mindset —you're coachable, curious, and always keen to level up.

• Bonus points if you know your way around sales frameworks like BANT, MEDDIC, or CHAMP.

Responsibilities:

• Prospecting into new accounts using outbound strategies like cold calling, email, and LinkedIn.

• Generating and qualifying outbound leads that are a perfect match for our ideal customer profile.

• Crafting personalised messages to creatively engage with decision-makers across a variety of industries.

• Collaborating with our Enterprise Sales Associates to ensure a smooth and successful handoff.

• Nurturing prospects and handling objections until they are ready to jump into a sales conversation.

Benefits:

• Flexible Working

• Work from Anywhere

• Conoce Mexico

• Connection Budget

• Learning Budget

Experience Requirements:

• 1–2 years of sales or SDR experience, ideally in a SaaS or tech environment

• Pro at outbound prospecting

• Fluent in both English and Spanish

• Proficient with HubSpot (or similar CRMs) and other sales automation tools

Other Requirements:

• Organised, resilient, and comfortable in a quota-carrying environment

• Growth mindset—coachable, curious, and always keen to level up

Responsibilities:

• Prospecting into new accounts using outbound strategies

• Generating and qualifying outbound leads

• Crafting personalised messages to creatively engage with decision-makers

• Collaborating with our Enterprise Sales Associates

• Nurturing prospects and handling objections

Experience Requirements:

• 9+ years of experience as a Full Stack Java Developer (UI, backend)

Other Requirements:

• Web Services

• Unix for Backend capabilities (shell scripts, file permissions, command line)

• Linux

• Oracle, SQL Server, DB2 or similar database experience

• CSS, Java Script, HTML

• Can read/write complex SQL queries

• Cloud Container experience

• Agile experience

• Banking/Financial Services domain experience

• Need Local candidate only

• Open to Onsite/Hybrid Role in Charlotte, NC?

Benefits:

• Flexible Working

• Work from Anywhere

• Conoce Mexico

• Connection Budget

• Learning Budget - Study leave and an annual budget

Experience Requirements:

• 1–2 years of sales or SDR experience under your belt, ideally in a SaaS or tech environment.

Other Requirements:

• You’re a pro at outbound prospecting and know how to get a conversation started.

• You’re fluent in both English and Spanish, with stellar written and verbal communication skills.

• You know your way around HubSpot (or similar CRMs) and other sales automation tools.

• You’re organised, resilient, and comfortable in a quota-carrying environment.

• You have a growth mindset—you're coachable, curious, and always keen to level up.

Responsibilities:

• Prospecting into new accounts using outbound strategies like cold calling, email, and LinkedIn.

• Generating and qualifying outbound leads that are a perfect match for our ideal customer profile.

• Crafting personalised messages to creatively engage with decision-makers across a variety of industries.

• Collaborating with our Enterprise Sales Associates to ensure a smooth and successful handoff.

• Nurturing prospects and handling objections until they are ready to jump into a sales conversation.

Benefits:

• Flexible Working

• Work from Anywhere

• Conoce Mexico

• Learning Budget - Study leave and an annual budget

• Home Office Allowance

Education Requirements:

• High school or equivalent education.

Experience Requirements:

• 5 to 10 years of work experience in facilities maintenance and/or cleaning.

Other Requirements:

• Ability to safely operate standard cleaning equipment, such as vacuums, mops, and basic floor cleaning machines (training provided).

• Basic knowledge of different cleaning agents and their proper uses.

• Must be organized, detail-oriented, self-motivated, and able to handle multiple tasks at the same time.

• Some physical skills are required to successfully perform the essential duties of the position: standing, walking, using hands and fingers to manipulate objects, tools or controls; talking and listening. Sitting is occasionally required. Bending, stooping or kneeling, reaching overhead or forward is frequently required. Daily use of hand strength to grasp tools, supplies, and equipment. Occasionally climbs ladders. Frequently lifts and/or moves objects up to a maximum of 35 kg.

Responsibilities:

• Office Maintenance: Report painting, remodeling or renovation needs for areas. Report when it is necessary to change light bulbs, both interior and exterior. Keep inventory of tools and materials.

• Office Cleaning: Clean windows and glass doors. Dust all surfaces, including desks, tables, shelves and equipment. Vacuum or mop floors in offices, hallways, meeting rooms and common areas. Clean and disinfect restrooms, including toilets, sinks and countertops. Supervise daily garbage collection, replenishment and cleaning of restrooms, sweeping/mopping/vacuuming, cleaning and disinfecting tables and furniture, cleaning of exterior access and ashtrays, graffiti removal, maintenance of floors and elevators, and cleaning of communal surfaces (railings, water coolers, kitchen areas, etc.).

• Both Roles: Supervise garbage collection and office cleaning service at the end of events. Maintain cleanliness of outdoor areas, including trash removal. Support event setup and dismantling. Diligently follow safety protocols and guidelines. Collect and dispose of garbage and recyclable materials according to established procedures.

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python or Java/Scala: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Hands-on experience with Big Data technologies like Spark, Airflow, Iceberg, CI/CD, Kafka

• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS)

Other Requirements:

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

• Fluent English (C1 level) is a must

Responsibilities:

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Airflow, Iceberg

• Design and implement data management and data governance processes and best practices

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Experience Requirements:

• 3+ years commercial experience in software engineering with Python

• Strong programming skills in Python (clean code, OOP)

• Hands-on experience with LLMs and Generative AI

• Experience with backend frameworks (FastAPI) and SQL/NoSQL databases

• Practical experience in cloud environments (AWS, GCP, Azure)

Other Requirements:

• Personal project or practical frontend experience (React, Node.js, Nest.js, Typescript)

• Practical experience and strong interest in Data Science and Machine Learning

• Curiosity about latest trends in GenAI (IDP, Embeddings, Vector Databases, OpenSource LLMs)

Responsibilities:

• Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers

• Assist in transforming Data Science prototypes into production-ready solutions

• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI

• Ensure code quality and implement good software engineering practices

• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure)

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with international corporate clients

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

• Proficiency in Python, cloud platforms (preferably Azure, AWS), and SQL

• Hands-on experience with Data Science or Big Data applications and tools (LLM, Generative AI, Machine Learning, Computer Vision, Predictive Modeling)

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Identify opportunities to expand service offerings and project potential with clients

• Take part in pre-sales activities, connecting technical solutions to client needs

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark, Azure Event Hub or Kafka

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 1 year of proven commercial experience developing, or maintaining Big Data systems

• Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s degree in technical or mathematical studies

Experience Requirements:

• At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes

• Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design

• Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi

• Excellent understanding of dimensional data and data modeling techniques

• Experience implementing and deploying solutions in cloud environments

Other Requirements:

• Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant

• Ability to work independently and take ownership of project deliverables

• Fluent English (at least C1 level)

• Experience with an MLOps framework such as Kubeflow or MLFlow

• Familiarity with Databricks, dbt or Kafka

Responsibilities:

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability

• Design and implement data pipelines that process large volumes of data in both streaming and batch modes

• Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow

• Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently

• Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)

• Proven expertise in deploying solutions in cloud environments (AWS or Azure)

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

Other Requirements:

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

• Familiarity with MLOps practices, Kubernetes and Docker

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Understand clients’ needs and translate business problems into data science problems

• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)

• Experience in leading end-to-end Machine Learning projects and managing cross-functional teams

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)

• Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)

Other Requirements:

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills

• Understand clients’ needs and translate business problems into data science problems

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with corporate clients

• Hands-on experience with Data Science applications (NLP, Computer Vision, Generative AI, Machine Learning, Predictive Modeling)

• Hands-on experience in ETL, data preparation, and data wrangling techniques

• Proficiency in Python and cloud platforms (preferably Azure, AWS)

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Building technical solutions that deliver measurable value

• Identify opportunities to expand service offerings and project potential with clients

Benefits:

• variety of medical, dental, and vision plans

• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle

• Mental Health benefits with covered therapy and coaching

• 401(k) program to help you invest in your future

• Education & learning stipend for personal growth and development

Experience Requirements:

• 4+ years of relevant sales experience preferably with a sales tech solution and specifically having worked with Private Equity firms and their portfolio companies

• Track record of overachieving revenue targets of 1M+ and successfully navigating and closing six-figure deals

• Previous SaaS and enterprise software experience

Other Requirements:

• Understanding of the Private Equity industry

• Excellent verbal and written communication skills

• Experience with Gong.io is preferred but not required

Responsibilities:

• Manage prospects from lead to close

• Land new business within greenfield territory

• Clearly articulate and demonstrate our Gong value proposition, creating excitement and enthusiasm among prospects

• Hunt and close expansion opportunities within your current customer account base

• Regularly iterate messaging that will scale our outbound prospecting engine

Benefits:

• variety of medical, dental, and vision plans

• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle

• Mental Health benefits with covered therapy and coaching

• 401(k) program to help you invest in your future

• Education & learning stipend for personal growth and development

Experience Requirements:

• 6 months - 1 year+ of relevant closing experience for Commercial

• Previous SaaS and enterprise software experience

• Previous outbound prospecting experience

• Demonstrated success in achieving sales goals (President’s Club, Rep of the Year, etc.)

Other Requirements:

• Excellent verbal and written communication skills

• Experience selling to sales leaders a plus

• Comfortable working in a fast paced dynamic environment with startup experience

• Self-motivated with an entrepreneurial spirit

• Comfortable selling to VP, C-Suite executives, and sales leaders, navigating through multiple decision makers in an organization

Responsibilities:

• Manage prospects from lead to close

• Clearly articulate and demonstrate our value proposition, creating excitement and enthusiasm among prospects

• Cultivate long-term relationships with customers

• Maintain weekly sales forecast and achieve quota quarterly

• Run and implement 7 to 10 day pilot program

Benefits:

• Comprehensive training on Veeam products and sales best practices.

• Ongoing support and mentorship from experienced sales professionals.

• Collaborative team culture with regular community meetings.

• Engaging events and initiatives to foster professional growth.

• Modern tools and resources to maximize your sales effectiveness.

Education Requirements:

• Bachelor’s degree or equivalent combination of education and experience.

Other Requirements:

• Proficiency in both German and English for clear communication.

• Strong organizational, multitasking, and prioritization abilities.

• Attention to detail in maintaining accurate records.

• Efficiency in MS Office automation tools to support daily tasks.

• Knowledge of virtualization industry and Salesforce is an advantage.

Responsibilities:

• Initiating telephone and email contact to identify new commercial opportunities in your assigned territory.

• Utilizing internal and third-party tools to generate leads and discover white space.

• Providing support to qualified prospects, including follow-up, product details, and quotations.

• Meeting monthly KPIs for commercial opportunities, tracked via Salesforce activity reports.

• Participating in call-out days, events, and customer meetings with sales colleagues.