Experience Requirements:

• 3+ years

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 6+ years

Education Requirements:

• Currently studying or graduated from a scientific or quantitative field (Preferably MS or PhD)

Experience Requirements:

• Proficiency processing large datasets with statistical packages

• Software development experience as demonstrated through course work, research projects or open source activities, preferably in Python or C++

• Applied Experience with Machine Learning and Big Data technologies

• Previous experience or course work in finance, business, economics, and/or biostatistics is a plus

Responsibilities:

• Develop AI trading strategies in various financial market (Forex, stock, ETF, etc.) for finance domain

• Develop AI analyses in genome and/or proteome data in the medical domain

• Work with large data sets and solve difficult, non-routine analysis problems

• Translate unstructured, complex business problems into Machine Learning framework

• Prototype, refine, deploy and monitor predictive models and decisions agents that are used in automation and analysis tasks

Education Requirements:

• BS or MS degree in Computer Science, Computer Engineering or similar technical field of study preferred.

Experience Requirements:

• 3-5 years of working experience in system software development.

• Software development experience in one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Objective C, Python, JavaScript or Go.

• Good knowledge of Data Structures and Algorithms. Parallel and Distributed Programming skills are a bonus.

Responsibilities:

• Design, implement, test, integrate, deploy, maintain and improve various components of Graphen AI platform and solutions.

• Conduct extraction, cleansing, exploration, transformation and loading of data from various sources to Graphen data store for different applications.

• Perform customization of Graphen solutions to suit specific customer needs.

Education Requirements:

• Ph.D. or Master's Degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, Computational Finance, Industrial Engineering, Financial Engineering, Operations Research or a similar quantitative field. Ph.D. preferred.

Experience Requirements:

• Expertise in Machine Learning, Data Mining, Pattern Recognition, Natural Language Processing or Computer Vision.

• Publications in peer-reviewed journals and conferences.

• Experience or interest in programming in one or more of these languages: C++, C, Java, Python, Go, etc.

Responsibilities:

• Lead in cutting-edge AI research and develop innovative approaches in the financial/healthcare domains to solve real-world problems. Publish your results and grow Graphen’s IP portfolio.

• Contribute ideas, develop prototypes and implement efficient and effective algorithms for Graphen solutions.

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.

• Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.

• Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.

• Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.

• Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.

Responsibilities:

• Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.

• Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.

• Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.

• Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.

• Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 7+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Experience Requirements:

• 7+ years of enterprise selling experience and 3+ years of management experience at a fast-paced, high growth B2B software company

• Significant experience and proven results selling into and navigating the complexities of an Enterprise environment across multiple industries

• Experience negotiating large 6- 7 figure deals with extremely complex terms, conditions, price pressures, and considerations

• Previous experience working at a high growth early-stage B2B software company

• Experience building sales teams from the ground up and recruiting, hiring, and training top sales talent

Responsibilities:

• Recruit and develop a world-class team of high-caliber enterprise account executives. Inspire and drive your region with a 200% on revenue target mentality. This team should include individuals with high cognitive ability, empathy, character, work ethic, grit and coachability

• Develop an in-depth understanding on Snorkel AIs products in order to be able to provide guidance and mentoring on selling, navigating complex legal negotiations, helping eliminate technical barriers, managing escalations

• Ensure effective and consistent pipeline generation & accurate forecasting with accountability around clearly defined leading indicators to drive a predictable & scalable regional business

• Implement, enable, and execute our value-based selling approach consistently across a team of high caliber account executives

• Collaborate and partner closely with our incredibly talented cross-functional teams. Build & foster strong internal partnerships with MLE, customer success, alliances, pre-sales and account development

Experience Requirements:

• 2-3 years of experience in a Business Development Representative (BDR), Lead Generation, or Lead Qualification role.

Responsibilities:

• Conduct target list research and cold-call potential clients to generate pipeline.

• Develop and execute AI-enhanced email campaigns with personalized outreach.

• Set appointments and follow up on leads, ensuring high-quality engagement.

• Develop relationships with key stakeholders to understand their business challenges.

Benefits:

• Health

• Vision

• Dental

• 401(k)

• STD & LTD Basic Life AD&D

Experience Requirements:

• 6+ years of hands-on experience in data analysis, with preference for experience in fintech, payments, or e-commerce

Other Requirements:

• Expert proficiency in Excel and data visualization tools (e.g., Tableau)

• Proven track record of extracting actionable insights from complex datasets

• Understanding of payments ecosystem, particularly chargebacks and payment service providers

• Strong service orientation towards both internal teams and external clients

• Outstanding communication skills with ability to convey technical concepts to diverse audiences

• Exceptional attention to detail and commitment to data accuracy

• Collaborative mindset with demonstrated ability to work across teams

• Technical integration knowledge- advantage

• Experience working with Salesforce- Advantage

Responsibilities:

• Analyze and standardize prospect transaction and chargeback data to identify recovery potential

• Present compelling ROI analysis to support the sales team in client acquisition

• Develop and refine data models to accurately predict chargeback recovery rates

• Guide prospects through our assessment panel process, translating complex data insights into clear business value

• Maintain quality standards for all prospect data analysis to ensure accurate forecasting

Education Requirements:

• PhD in Economics or highly related field.

Experience Requirements:

• 8+ years’ experience in antitrust and competition issues with experience in merger regulatory approval process or merger litigation.

Education Requirements:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience

Experience Requirements:

• 5+ years of software engineering ad industry experience

• Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems

• Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)

• Proficiency in scripting languages to use APIs to automate manual processes

• Experience with common CI tools (Jenkins, Buildkite, CircleCI, TeamCity), and proficiency in at least one of those tools

Responsibilities:

• Define technical roadmap for team, identifying areas that need improvement and leading cross-team solutions

• Identify, architect, and build the right systems or products to improve the business

• Write well-crafted, well-tested, readable, maintainable code

• Have a good grasp and ability to explain the various trade offs made in decisions

• Participate in code reviews to ensure code quality and distribute knowledge