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

Benefits:

• Competitive salary and equity

• Wellness benefit

• Unlimited PTO

• Remote work

• Paid coffee during workdays Paid overtime meal Health, dental, vision

Experience Requirements:

• 5+ years in a sales role preferably at back-office, accounting, or enterprise software

Responsibilities:

• Become a product expert and help customers onboard and trial Entendre effectively

• Generate a strong pipeline and exceed quarterly targets

• Build a strong relationship within your accounts and advocate for the customer when discussing priorities on the roadmap

Benefits:

• Participation in company benefits (Medical, Dental, 401(k), Transit, etc.)

• Free lunch from MealPal

• Unlimited PTO

• Hybrid Position (3 days a week in office)

Experience Requirements:

• 3-5+ years of experience in digital marketing, with a track record of driving growth and some immediate ideas/plays to hit the ground running

• Hands-on experience with paid search and social media advertising platforms

• Strong analytical skills and experience with marketing analytics tools (Google Analytics, Ahrefs, etc.)

• Experience with marketing automation platforms and email marketing (Hubspot or similar)

• Experience using AI in your current role to automate tasks and/or improve your workflow (not just content generation)

Other Requirements:

• Excellent project management and communication skills

• A creative mindset and ability to understand how technical features solve key industry problems

• Experience with B2B SaaS and/or in the Customer Experience space a plus

• Willingness to master the things you know, learn the things you don’t, and balance asking for guidance with making decisions amid uncertainty

Responsibilities:

• Own digital marketing: Create and manage campaigns that spread the Loris message across Google Ads, LinkedIn Ads, and other channels where future Loris customers can find us

• Get the most out of paid campaigns: Design, run, and optimize paid search and social campaigns that help the right people discover Loris.ai. Do more of what’s working, less of what’s not, and be able to continuously experiment and improve.

• Be our social butterfly: Build our presence on social media and in user communities, and share content that gets people talking. Engage with potential prospects as well as influencers to create a dialog that evokes the Loris brand.

• Work smarter with automation: As an AI company, we’re constantly looking for ways to do things easier, faster, and better. You should expect to make AI a big part of your role, whether replacing manual tasks through automation or multiplying your impact.

• Track what works: Use analytics tools, spreadsheets, or other tools at your disposal to measure campaign performance and find opportunities for growth. Setup campaigns so you can easily explain what we were trying to do, whether it worked, and why.

Benefits:

• Unlimited PTO, plus company holidays

• 66% employee covered health premiums (medical, dental, vision)

• Hybrid remote/office work culture

• 401K program

Experience Requirements:

• 3+ years of Saas software sales experience selling to enterprises

• Experience developing new territories and quickly creating your own business

• Experience negotiating and executing complex agreements with 6 figure ACVs

• Experience selling software solutions to Customer Experience leaders

• A track record of success demonstrated by overachievement of quota and strong customer references

Other Requirements:

• Previous experience presenting business cases to VPs and C-suite executives

• Ability to sell on the basis of Value and Customer success stories

• Predictability and accurate forecasting capabilities

• You are passionate about AI and have a strong point of view about how this technology will impact the future of business

Responsibilities:

• Own the sales experience while building and managing relationships with decision-makers and executives

• Run discovery calls, presentations, and product demos while leaning into value selling

• Prospect for new clients, design product presentations and business cases, develop and deliver proposals, negotiate and close contracts

• Collaborate with the Loris Customer Success Managers on QBRs for existing accounts and identify opportunities for upsells

• Partner closely with Product, Marketing, and Engineering to constantly innovate and build a best-in-class product based on customer interactions

Education Requirements:

• Expertise in data science, and machine learning

• Familiarity with software architecture, and API’s

Experience Requirements:

• 5+ years in customer success, technical consulting, solutions engineering or similar roles, preferably with a technical product.

• Proven ability to build relationships within complex organizations and be a thought leader for customers.

Responsibilities:

• Develop and execute comprehensive technical account strategies tailored to customer needs, including setting goals, identifying challenges, defining KPIs, and establishing timelines.

• Lead initiatives to enhance customer experience and satisfaction, managing key customer relationships and influencing product development based on customer feedback and industry trends.

• Serve as the primary technical expert on Akkio’s AI data platform, providing expert consultations and designing complex solutions to meet customer requirements.

• Facilitate seamless transitions from pre-sales to post-sales phases by collaborating closely with Sales and Customer Success teams.

• Identify and mitigate potential risks related to customer renewals or user churn, working with internal teams to develop and implement solutions.