KumoThe creation of the data warehouse emerged to solve the analytics problem over large amounts of data. Now, we’ve moved from megabytes to gigabytes to terabytes of data storage with no end in sight and companies invest millions of dollars to store and organize that data and only leverage a fraction of it for machine learning.
With Kumo, we are building the first data platform to seamlessly allow machine learning over data warehouses for faster, simpler, and smarter predictions to combat data waste and maximize data value. Query the future with Kumo.
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Apply to KumoThe global data management software market is set to reach $137.6 billion by 2026, and we're on a mission to make a significant impact. We're seeking intellectually curious and highly motivated Data Engineers to become foundational members of our Machine Learning and Data Platform team.
Required Qualifications for Ideal candidate
- 4+ years of professional experience in SaaS/Enterprise companies
- Strong experience with data ingestion and connectors
- Experience in building end-to-end production-grade data solutions on AWS or GCP
- Experience in building scalable ETL pipelines.
- Ability to plan effective data storage, security, sharing, and publishing within an organization.
- Experience in developing batch ingestion and data transformation routines using ETL tools.
- Familiarity with AWS services such as S3, Kinesis, EMR, Lambda, Athena, Glue, IAM, RDS.
- Proficiency in several programming languages (Python, Scala, Java).
- Familiarity with orchestration tools such as Temporal, Airflow, Luigi, etc.
- Self-starter, motivated, with the ability to structure complex problems and develop solutions.
- Excellent communication skills and ability to explain data and analytics strengths and weaknesses to both technical and senior business stakeholders.
Preferred Qualifications - good to have
- Deep familiarity with Spark and/or Hive
- Understanding of different storage formats like Parquet, Avro, Arrow, and JSON and when to use each
- Understanding of schema designs like normalization vs. denormalization.
- Proficiency in Kubernetes, and Terraform.
- Azure, ADF and/or Databricks skills
- Experience with integrating, transforming, and consolidating data from various data systems into analytics solutions
- Good understanding of databases, SQL, ETL tools/techniques, data profiling and modeling
- Strong communications skills and client engagement
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoAs a Forward Deployed Data Scientist, you will partner with customers to discover, design, develop, and deploy solutions using Kumo’s technology. Ideal candidates have a strategic and analytical aptitude, software engineering expertise, and strong interpersonal skills.
The Value you will Add:
- Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger number of internal workloads
- Be a Kumo platform superuser - understand the product’s ins & out to solve customer problems
- Generate Kumo platform educational materials for users and customers
- Partner closely with our ML team to help drive customer success during the full customer lifecycle
- Coach customers on how to maximize Kumo for their specific use cases with datasets. Helping customers with their business needs and internally collaborating with sales, engineering, and product team in the end-to-end process from ingesting their first datasets to successful POC contract signing
- Create broader processes for each customer to go through to ensure we can drive repeatable successes for each contract
- Develop methodologies to be shared with customers to help them understand the value delivered by Kumo to their organizations and explain this value to their internal stakeholders
- Partner with our product and engineering team to relay and reconcile customer feedback, including uncovering causes of data and model accuracy issues, debugging backend issues, surfacing feature gaps, etc.
- Increase awareness/interest in our Kumo platform amongst analyst-focused external communities/ecosystems, and drive our bottoms-up adoption which may include content generation/demos/webinars/follow-up with users' questions, etc.
Your Foundation:
- 5+ years of relevant professional experience working with external customers in deploying new AI/ML PoCs into production for customers
- Experience supporting the sales lifecycle
- Where you were working in a consulting, forward-deployed engineer, customer solution where the AI/ML tools used are horizontal platforms
- Hands-on troubleshooting experience helping customers resolve issues and working with engineering to test and deploy fixes to customers.
- Knowledge of common analyst tools such as SQL-based Data Warehouses, DBT, BI tools such as Tableau, Looker
- Familiarity with key predictive ML, ML Ops, etc. concepts, ideally from formal bachelor/graduate training
- Self-starter, motivative who can demonstrate the ability to structure complex problems, develop solutions for external clients
- Persuasive communication–the ability to present, speak, and demo well to customer stakeholders and convince them to partner with Kumo!
- Experience with SaaS product development for enterprise customers
Benefits:
- Stock
- Competitive Salaries
- Medical Insurance
- Dental Insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoThe Kumo Cloud platform is based on Kubernetes and is built using cloud-native technologies. The Cloud Infrastructure team is responsible for building, operating, and maintaining this platform. They are responsible for defining and meeting Platform service level objectives, capacity utilization, cost visibility, security compliance, and more. They are highly critical to the success of the Multi-Cloud Platform.
In this role as a Software Engineer - Cloud Platform
The Value You'll Add:
- Build and extend components of the core Kumo Cloud Infrastructure
- Define a culture of engineering excellence and operational efficiency, especially as it relates to development and productization
- Build and automate CI-CD pipelines, release tooling to support continuous delivery, and true zero-downtime deployments across different cloud providers using the latest cloud-native technologies
- You will work on advanced tools developed for the world’s leading cloud-native machine learning engine that uses graph deep learning technology
- Be part of the team implementing the first version of the SaaS platform
- You will implement features in a devops model that will develop and operate highly scalable and highly available cloud services
- Develop the infrastructure microservices for features such as usage tracking, diagnostics, monitoring, and alerting at the cloud scale
- Lead automation efforts to streamline global deployment effort
Your Foundation:
- You actively code and are well versed in coding with Go, Python or similar languages
- Experience with Snowflake
- Experience with security, i.e. security testing, vulnerability, ISO27001, GRC, Risk under compliance, and more
- You believe in Infrastructure As Code (IaC) and you love automation and continuous delivery (CD)
- BS (or higher) in Computer Science, or a related field
- You come with 4+ years relevant experience; 4+ years consistent record as an SRE; 4+ years working effectively in customer facing cloud
- You have hands-on experience with Kubernetes (e.g. EKS, GKS, AKS or OpenSource) on a public cloud (AWS, GCP) at scale.
- You have extensive experience with Docker/Containers, Jenkins/Flux/Argo, and Terraform in a Linux environment.
- Experience with monitoring tools such as Prometheus, Grafana, etc.
Your Extra Special Sauce:
- Experience handling customers and deployments in the EU/UK and other global regions
- You are incredible in solving sophisticated production incidents and resolve them as quickly as possible. You can bring calm to uncertainty and provide leadership to tackle problems
- You are passionate about what you do, enjoy continuous learning and love to collaborate
- You are a standout colleague and excellent communicator
- Linkerd/Istio/Envoy preferred
Benefits:
- Stock
- Competitive Salaries
- Medical Insurance
- Dental Insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Engineering
hybrid: Mountain View
added Wed Sep 27, 2023
Apply to KumoIn this role you will build scalable systems to power the Kumo platform, making it THE platform for running Big Data and AI workloads. You will be an early member of the infrastructure team, building the platform that will scale Kumo to handle huge cloud datasets, while maximizing the productivity of dozens of engineers & future customers that will use the platform for many years to come. You will work with a diverse group of ML scientists, infrastructure engineers, product engineers, and leaders to influence how we productionize and scale new ML technologies, build tools to increase our velocity and help us with full-stack user experiences. At Kumo, engineers wear many hats. You will be responsible for designing and building multiple core systems completely from scratch while making key design decisions that greatly influence the product direction. You must also be passionate about foundational infrastructure work, such as managing model lifecycles and ML Ops, CI/CD and advanced packaging, versioning, and deployment strategies.
The Value You'll Add:
- Build and extend components of the core Kumo infrastructure
- Willingness to respond and be a key participant in our incident management process and develop tools for better Root Cause Analysis and reduction in MTTR (mean time to respond)
- Build and automate CI-CD pipelines, and release tooling to support continuous delivery and true zero-downtime deployments across different cloud providers using the latest cloud-native technologies.
- Build the Kumo ML Ops platform, which will be able to data drift, track model versions, report on production model performance, alert the team of any anomalous model behavior, and run programmatic A/B tests on production models.
- You will work on advanced tools developed for the world’s leading cloud-native machine learning engine that uses graph deep learning technology
Your Foundation:
- BS (preferred MS, PhD.) in Computer Science.
- Must Have: B2B Saas experience, architecting experience in building a large-scale distributed system at scale.
- 3+ years of experience writing production code in Java, Javascript, C++, or Python (NO NEW GRADS)
- Experience with productionizing cloud applications, including Docker and Kubernetes, CI/CD and advanced packaging, versioning, and deployment strategies, containers and serverless architecture, online/offline feature stores, model performance monitoring
- Familiarity with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker) or Azure Machine Learning and MLFlow, Kubeflow, etc.
- Proficiency with general full-stack application development, such as defining data models, building abstractions for business logic, and developing customer-facing Web Front Ends or public APIs/SDKs for the application.
- Experience with Infrastructure-as-code development (e.g., Terraform, Cloud Formation, Ansible, Chef, Bash scripting, etc.)
- Core understanding of data modeling and fundamentals of data engineering (e.g. integrations/connectors, pipelines, ETL/ELT processes)
Your Extra Special Sauce:
- AWS Advanced Networking/ AWS Security/ DevOps / Solution Architect Professional Certifications
- Working knowledge of OAuth, OIDC, SAML, JWT, and identity and access management
- Proficiency with asynchronous Python frameworks such as Fast API
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoAs a full-stack engineer for Kumo Experiences, you will work with the Machine Learning platform teams, and product management, you will be working to reshape how companies and users make AI work to solve their real world problems and unleash the predictive power of cloud data to make the world a better place. We are looking for individuals who are customer-focused, and who can take on the full scope of the product user experience. You will be part of the team reinventing how to interface with complex AI backends and set the foundation for how we build robust, scalable, and delightful experiences on the cloud. You will work to produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
Your Foundation:
- BS (preferred MS, Ph.D.) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
- Must Have: Saas products, enterprise companies
- Experience designing APIs, database schemas, and backend micro-services to power a sophisticated internal tool or user-facing product.
- Experience writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc.)
- Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security, and usability.
- Experience with Test Driven Development
- 4+ years of industry experience.
Your Extra Special Sauce:
- Have hands-on experience with Cloud Native tools/technologies, Kubernetes, containers, Infrastructure as Code
- Working knowledge of OAuth, OIDC, SAML, JWT, and identity and access management.
Benefits
- Stock
- Competitive Salaries
- Medical Insurance
- Dental Insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoIn this role, you will help us design and build the core of our system working alongside seasoned engineering leaders with decades of experience and some of the best researchers from Stanford and other top universities. We are adapting and inventing cutting edge ML techniques to fit well with learning over data warehouses. The technical challenge here is to create scalable storage and compute systems that will fit well with both the data warehouse and the ML training and inference systems and provide for scalability, reliability, restart and security of cloud-first applications. The final product will follow a customer first approach and be extremely easy to use from both ML and cloud deployment.
The Value You'll Add:
- Design the core of our training and inference systems
- Design and build systems to scale and integrate
- Design APIs between the system components to decouple them and make independent development easy
- Produce designs that can be iterated over time to achieve more scalability
- Implement the first version of the product
- Engage with customers, iterate on the product
Your Foundation:
- BS (preferred MS or Ph.D.) in Computer Science or related technical discipline, or related practical experience
- Role will be focused on Systems/Scalability/Integrations.
- 4+ years experience in software design, development, and algorithm-related solutions
- 4+ years experience programming in OOP languages like Java, Python, or C++
Your Extra Special Sauce:
- Knowledge of Cloud distributed storage/databases, file systems, and distributed storage.
- Ideal candidate would have the knowledge to integrate systems and distributed data processing technologies
- Experience building Micro-services & Cloud Platforms on AWS, and Azure.
- Experience with industry, open-source projects, and/or academic research in large-data, parallel, and distributed systems.
- Experience in using and/or contributing to an inference serving technology, PyTorch, TensorFlow, etc.
- Experience in building machine learning platforms at large scale
- Understand the fundamentals of machine learning, ideally in both academic and industry environments
Benefits
- Stock
- Competitive Salaries
- Medical Insurance
- Dental Insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Engineering
hybrid: Mountain View
added Wed Sep 27, 2023
Apply to KumoBasic and Required Qualifications:
- Technology Stack:
- Enterprise and Saas Experience
- Worked on ML/AI cloud native ML products, Data Science tools, and ecosystem
- Hands-on experience building and running highly technical and scalable teams
- Work with product/customer teams on how machine learning can make their product or system better
- Management/Leadership Stack:
- Experience building and leading expert machine learning teams that have routinely launched new products and features that drive significant revenue and engagement with machine learning.
- Experience developing machine learning products and capabilities in a cloud environment with a good understanding of the product and sales side of the business
- Experience with prioritizing and adding new machine learning-based features and capabilities, launching new products to drive revenue
- Capacity plan pre-sales and post-sales support from within the team. Drive horizontal engineering efforts that improve the efficiency of the pre-sales and post-sales organizations.
- Work with multiple stakeholders within Product, Sales, and Engineering and with Customers to plan releases.
- Customer Advocacy Stack:
- Candidate should have the business, strategic, and technical background to understand the customer needs to innovate new features and product ideas
- Visionary thinker: Should be able to develop plans for customer acquisition and growth plan, strategic partnership and should be able to interact with internal and external leadership to be successful.
- Great presentation skills - for our typical audience - technical and executive staff for product demos as well as whiteboard machine learning solutions to business problems
Preferred / Good to have Qualifications
- Big and small company experience
- Open source Saas product experience
- GNN/Graph Experience
- Closely worked with product and sales and should be able to update product/feature/customer updates to the executive staff
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoYou will be working with many datasets from real-world applications and applying state-of-the-art machine learning techniques developed in Kumo to directly impact a customer’s business needs. This will require using your ML and AI knowledge to solve critical and challenging problems to better serve our customers. You will drive the changes in the core algorithm and infrastructure based on the findings of the engagement to make the platform easier to use and to scale automatically modeling problems and datasets.
Your Foundation:
- You want to solve real-world problems and get things done.
- Must have: Python, and PyTorch, working with enterprise SaaS products
- You are able to abstract the patterns from many specific examples and understand how we need to evolve the platform to avoid the same issues slowing us down repeatedly.
- Bachelor’s degree in Computer Science or related technical field or equivalent technical experience
- Must have 3+ years of experience programming in OOP languages like Python, or C++
- 4+ years experience in designing ML algorithm solutions, specifically on search and recommender systems, for user-facing products
Your Extra Special Sauce:
- Ph.D. Degree in Computer Science or Machine Learning or related technical discipline, or related practical experience.
- Ideal candidate is a top contributor to PyTorch OSS, with experience in Graph Neural Networks(GNNs)
- Experience developing large-scale systems
- Ability to diagnose technical problems, debug code, and automate routine tasks
- Analytical approach coupled with solid communication skills and a sense of ownership
Benefits
- Stock
- Competitive Salaries
- Medical, dental insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoIn this role you will build scalable systems to power the Kumo platform, making it THE platform for running Big Data and AI workloads. You will be an early member of the infrastructure team, building the platform that will scale Kumo to handle huge cloud datasets, while maximizing the productivity of dozens of engineers & future customers that will use the platform for many years to come. You will work with a diverse group of ML scientists, infrastructure engineers, product engineers, and leaders to influence how we productionize and scale new ML technologies, build tools to increase our velocity and help us with full-stack user experiences. At Kumo, engineers wear many hats. You will be responsible for designing and building multiple core systems completely from scratch while making key design decisions that greatly influence the product direction. You must also be passionate about foundational infrastructure work, such as managing model lifecycles and ML Ops, CI/CD and advanced packaging, versioning, and deployment strategies.
The Value You'll Add:
- Build and extend components of the core Kumo infrastructure
- Willingness to respond and be a key participant in our incident management process and develop tools for better Root Cause Analysis and reduction in MTTR (mean time to respond)
- Build and automate CI-CD pipelines, and release tooling to support continuous delivery and true zero-downtime deployments across different cloud providers using the latest cloud-native technologies.
- Build the Kumo ML Ops platform, which will be able to data drift, track model versions, report on production model performance, alert the team of any anomalous model behavior, and run programmatic A/B tests on production models.
- Work across the full stack (frontend and backend), in order to deliver great tooling and data analysis experiences for internal machine learning engineers as well as external customers who interact with the platform using our web-based UI and Python SDK.
- You will work on advanced tools developed for the world’s leading cloud-native machine learning engine that uses graph deep learning technology
Your Foundation:
- BS (preferred MS, PhD.) in Computer Science.
- Must Have: B2B Saas experience, architecting experience in building a large-scale distributed system at scale.
- 5+ years of experience writing production code in Java, Javascript, C++, or Python (NO NEW GRADS)
- Passion for working across the full stack and wearing multiple hats, ranging from DevOps all the way to web development.
- Experience with productionizing cloud applications, including Docker and Kubernetes, CI/CD and advanced packaging, versioning, and deployment strategies, containers and serverless architecture, online/offline feature stores, model performance monitoring
- Familiarity with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker) or Azure Machine Learning and MLFlow, Kubeflow, etc.
- Proficiency with general full-stack application development, such as defining data models, building abstractions for business logic, and developing customer-facing Web Front Ends or public APIs/SDKs for the application.
- Experience with Infrastructure-as-code development (e.g., Terraform, Cloud Formation, Ansible, Chef, Bash scripting, etc.)
- Core understanding of data modeling and fundamentals of data engineering (e.g. integrations/connectors, pipelines, ETL/ELT processes)
Your Extra Special Sauce:
- AWS Advanced Networking/ AWS Security/ DevOps / Solution Architect Professional Certifications
- Working knowledge of OAuth, OIDC, SAML, JWT, and identity and access management
- Proficiency with asynchronous python frameworks such as Fast API
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoWe have opened an exciting new position for our First Product Marketing Manager to define Kumo.ai’s marketing strategy and lead our go-to-market efforts, working closely with our founders and leadership team to bring our core value proposition to life for potential enterprise buyers. This is a unique opportunity to shape the future of our company and build a strong foundation for our product marketing efforts.
Market Analysis: Conduct market research to understand customer needs, industry trends, and how competitors position themselves. Use data-driven insights to inform our go-to-market strategy.
Go-to-Market Strategy: Develop and execute our always-on go-to-market plan for predictive AI and new product launches, including defining target audiences/use cases, the right messaging, and the best communication channels with a strong focus on increasing awareness (e.g. registrations, downloads, views), demand (demo requests, customer pipeline) and product adoption (usage) of our platform
Product Positioning: Create and communicate compelling product narratives and value propositions that resonate with customers and differentiate our products in the market.
Content Creation: Develop a wide range of marketing collateral, including product descriptions, presentations, customer success stories, blogs, video walkthroughs, website landing pages, etc. as deemed needed by our GTM strategy to showcase how Kumo drives better business outcomes and increase trust in early conversations
Company Enablement: Collaborate with the internal team to provide them with the tools, new collateral, and resources needed to effectively sell Kumo as a predictive AI solution. Help the founders articulate and promote a predictive large language model story that will resonate with clients.
External communications: Organize all media communications regarding Kumo and our products
Marketing Campaigns: Plan and execute integrated marketing campaigns across various channels, such as digital advertising, social media, email marketing, and events.
Performance Metrics: Define and track key performance indicators (KPIs) to measure the effectiveness of go-to-market initiatives and re-optimize strategies accordingly. Orchestrate relevant A/B experiments on our website.
Cross-functional Collaboration: Work closely with product management, engineering, design, and other teams to ensure alignment between product development and marketing efforts - including web, field, partners, and events.
Basic Qualifications (Required Skills)
- 4+ years of relevant work experience (marketing, product, sales), including 1+ years of B2B product marketing experience
- Incredibly organized and efficient—you take on complex projects and campaigns and own them from start to finish
- Have experience marketing a product to product, marketing, engineering, or data science/analytics teams
- Have strong product instincts and technical curiosity that translate to clear packaging, positioning, and messaging
- Have exceptional written, communication, and speaking skills
- Thrive in cross-functional environments and can effectively collaborate with product, marketing, and sales teams
- Approach all projects with a customer-first mindset
- Basic grasp of ML concepts
- Native written communication skills in English
- Strong analytical and critical thinking skills
- Time management and organizational skills
- Passion to thrive in a fast-paced, ever-changing environment
Preferred Qualifications (Good to have skills)
- Understanding Machine Learning and Graph concepts and simplifying them, making it easy for business leaders to understand how they can be applied to their business use cases
- 5+ years of experience in product marketing. MBA is a plus (but we also love people who didn’t go to business school). Services marketing experience is also a plus.
- Experience driving go-to-market B2B SaaS product launches and communications of new products and features.
- Stellar public speaking and storytelling skills, with extensive experience in crafting compelling positioning and messaging for internal and external audiences. Ability to present ideas to an executive audience.
- Advanced presentation development skills (Google Slides, Powerpoint, or Keynote).
- Passion for and deep understanding of B2B SaaS, customer success, and service offerings.
- Experience working with sales, product management, enablement, and other stakeholders.
- Dynamic, confident, can-do personality with the ability to successfully drive projects with minimal guidance.
- Strong skills in communication, writing, and ability to work well cross-functionally.
- Creative thinker who can generate and execute innovative “breakout” marketing ideas.
- Proven track record in performing well in a fast-paced, constantly evolving environment, with strong organizational skills to effectively manage multiple projects.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply to KumoIn this role, you will represent the company's product to explain how our solutions meet customer needs. You will generate leads and build relationships by nurturing warm prospects, all while identifying promising new sales opportunities. Employing your skill set, which includes Salesforce, cold calls, and email outreach, you’ll drive the creation of sales prospects. Additionally, you will manage and maintain a pipeline of interested prospects and engage sales executives in the next steps. Your ability to discern the specific needs of prospects and provide tailored recommendations for our products or services will be pivotal. Building long-term, trusting relationships with prospects to qualify leads as sales opportunities will also be a key aspect of your role. You will be at the forefront of identifying best practices for refining the company’s lead-generation strategies. Furthermore, you will manage and coordinate meetings or calls between potential customers and our sales executives. Regularly, you will compile and present your results on a weekly, monthly, and quarterly basis to our sales managers. Collaboration is key, and you'll work closely with both the Sales team and the CEO's staff to develop and enhance the company's go-to-market (GTM) approaches.
Basic Qualifications: Must Haves
- Minimum of two years of sales experience with a track record of exceeding lead targets and a strong enthusiasm for technology and software sales.
- Proven ability in creative problem-solving coupled with robust analytical skills.
- Aptitude to cultivate strong internal and external relationships and to progress within a sales organization.
- Excellent organizational skills with an emphasis on time management and prioritization.
- A collaborative mindset with openness to coaching and continuous self-improvement.
- Availability to work 5 days a week, including 2-3 days onsite in a hybrid model.
Preferred Qualifications: Good To have
- Experience working in sales at a Machine Learning, AI, or SAAS company
- Degree/ongoing Bachelor/Master's degree
- Strong communication skills via email and phone
- Proficient at adapting to and mastering new tools and technology
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.