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Forward Deployed Engineer, Intern - Campus Recruiting 2026
Build, deploy, and manage enterprise-grade AI at scale with a unified platform that centralizes data science workflows for teams in life sciences and finance.
Benefits:
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Education Requirements:
Graduating in Spring 2027 or later, pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field
Experience Requirements:
Passion for AI/ML, data science, and its real-world applications
Experience coding in at least one industry-standard programming language (Python or R strongly preferred)
Strong communication and problem-solving skills
Interest in customer-facing work
Other Requirements:
Growth mindset
Ability to work with the spirit of a startup
Responsibilities:
Spend 10–12 weeks working directly with customers and teams
Write code, design solutions, and support real-world, high-stakes environments
Blend software engineering skills with customer empathy and domain awareness
Contribute to impactful and visible projects
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Account Executive
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
Competitive pay
Generous vacation allowance
Remote-first culture
Growth & learning opportunities
Impactful work
Experience Requirements:
Proven track record of meeting enterprise SaaS quota ($200k+ ACVs)
Experience building ROI models and business cases
Hands-on proficiency with MEDDPIC qualification
Selling into regulated industries (BFS, Healthcare, Government)
Operating in early-stage startup environments
Other Requirements:
High grit and self-reliance
Strong executive presence
Ability to self-generate pipeline
Consultative sales capability
Responsibilities:
Meet and exceed annual enterprise SaaS quota
Run value-based, consultative enterprise sales motions
Navigate transformational AI adoption objections
Rigorously qualify opportunities using MEDDPIC
Build and shape early-market presence and territory strategy
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Presales Consultant
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
Competitive pay
Generous vacation allowance
Remote-first culture
Growth & learning
Impactful work
Education Requirements:
Degree in Computer Science, Cognitive Science, Logic, or Engineering
Experience Requirements:
4–7 years in presales, solution consulting, or technical consulting
Running discovery workshops
Translating business needs into technical architectures
Experience in enterprise SaaS, AI, or analytics
Experience with financial services or insurance sectors
Other Requirements:
Understanding of AI, rule-based systems, or reasoning engines
Comfort with structured and unstructured data
Excellent communication and storytelling skills
Agile and self-directed
Responsibilities:
Lead discovery sessions to understand client decision processes
Design and deliver tailored proof-of-concepts and prototypes
Build and deliver compelling technical demonstrations
Support knowledge engineering and modeling of knowledge graphs
Partner with Account Executives to craft solution proposals
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Account Executive - Enterprise
Embed actionable AI insights directly into existing business workflows and applications to accelerate decision-making and drive enterprise-wide adoption.
Education Requirements:
Bachelor’s degree in business, marketing, or a related field
MBA is a plus
Experience Requirements:
10+ years of enterprise sales experience
Strong record of closing large, complex deals (6–7+ figure ACVs)
Experience selling SaaS, data, AI, or analytics platforms
Other Requirements:
Strong command of structured sales methodologies (MEDDICC, Challenger, Spin, etc.)
Executive level communication, presentation, and influence skills
Expertise in building business cases and articulating ROI at scale
Responsibilities:
Identify, qualify, and pursue large-scale enterprise opportunities
Use a consultative, value-based approach to diagnose enterprise challenges
Build deep relationships with C-suite and VP-level leaders
Develop and manage a strong, high-value pipeline
Lead all phases of multi-stakeholder, multi-month enterprise sales cycles
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Program Manager, AI for Policy
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
Bonus
Equity
Benefits
Education Requirements:
Bachelor's degree in political science, business, or related
Master's degree preferred
Experience Requirements:
8+ years in program or product management
Hands-on experience with LLMs and prompt engineering
Experience with organizational change methodologies
Other Requirements:
Analytical skills designing dashboards and reports
Responsibilities:
Execute AI transformation strategy
Identify AI impact areas
Design AI-powered solutions
Drive adoption and change management
Establish and track adoption metrics
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Executive Assistant, Amazon Ads Marketing
Access personalized product recommendations and streamlined global shopping through AI-driven discovery and voice-activated assistance for consumers and sellers.
Benefits:
health insurance
401(k) matching
paid time off
parental leave
restricted stock units (RSUs)
Experience Requirements:
5+ years of executive assistant experience
Other Requirements:
Experience with executive level calendar management
Experience with domestic or international travel coordination
Experience with Microsoft Office products and applications
NYC based role requiring five days a week in-office
Responsibilities:
Complex calendar management for internal and external meetings
Manage detailed domestic and international travel itineraries
Track and drive completion of key deliverables
Coordinate with peers, internal stakeholders, and industry professionals
Manage team space planning and morale activities
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Senior AI Engineer - Professional Services
Deploy and govern enterprise-grade AI agents across hybrid and multi-cloud environments to unify complex machine learning workflows and accelerate business ROI.
Benefits:
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)
Education Requirements:
Master’s Degree or Ph.D. in Computer Science, Statistics, AI, Engineering, or a related quantitative field
Experience Requirements:
6-8 years of hands-on experience in AI Application development or similar
Practical experience with Generative AI technologies
Experience developing and deploying applications (REST APIs)
Proficiency with containerization using Docker and Kubernetes
Other Requirements:
Travel requirements associated with visiting clients onsite 25% - 50%
Strong proficiency in Python
Hands-on experience with a major cloud platform (AWS, Azure, or GCP)
Responsibilities:
Partner with Customers to understand business goals
Design, develop, and deploy end-to-end AI solutions
Build custom GenAI chatbots and RAG systems
Serve as a Technical Expert on the DataRobot platform
Communicate complex technical concepts to diverse audiences
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Research Scientist
Deploy graph-based AI platforms to solve complex industry challenges with full-brain functions, from drug discovery to financial risk and digital human agents.
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.
Other Requirements:
Stay hungry: challenge the status quo and develop innovative solutions
Pursue impacts: business acumen to create customer values from findings
Passion to work at a start-up and in a team
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.
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Software Engineer
Deploy graph-based AI platforms to solve complex industry challenges with full-brain functions, from drug discovery to financial risk and digital human agents.
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 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.
Other Requirements:
Testing framework
System build/deployment tools (e.g. g++/gcc, Maven, Docker, git)
Machine Learning and Big Data technologies
Innovative and flexible thinking
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.
Perform customization of Graphen solutions to suit specific customer needs.
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Data Scientist Intern
Deploy graph-based AI platforms to solve complex industry challenges with full-brain functions, from drug discovery to financial risk and digital human agents.
Education Requirements:
Currently studying or graduated from a scientific or quantitative field (Preferably MS or PhD)
Experience Requirements:
Extraordinary quantitative and data management skills
Proficiency processing large datasets with statistical packages
Software development experience in Python or C++
Applied Experience with Machine Learning and Big Data technologies
Other Requirements:
Innovative and flexible thinking
Previous experience or course work in finance, business, economics, and/or biostatistics is a plus
Responsibilities:
Develop AI trading strategies in various financial markets
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
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SRE - $40BN AUM Hedge Fund - $450k+
Transform existing retail cameras into AI-powered agents to track customer journeys, optimize store layouts, and reduce loss with real-time intelligence.
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Affiliate Manager - NYC/US
Track smart money moves and analyze on-chain data with conversational AI to identify investment opportunities and defend portfolios for crypto investors.
Benefits:
Competitive salary and generous equity
Remote work environment with a flexible schedule
Exposure to global industry experts
End-to-end responsibility and ownership
International team culture
Experience Requirements:
1-2 years experience in affiliate/influencer marketing
Success in building or scaling affiliate programs
Strong analytical mindset
Excellent communication skills
Active in crypto markets and trading
Other Requirements:
Fluent in Spanish is preferred
Passion for crypto, DeFi, and onchain ecosystems
Ability to operate independently
Willingness to travel to NYC periodically
Responsibilities:
Manage and grow a portfolio of affiliates
Identify and onboard new affiliate partners
Launch, track, and optimize affiliate campaigns
Maintain strong relationships with top performers
Monitor KPIs and provide actionable insights
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Head of BD Staking - NYC
Track smart money moves and analyze on-chain data with conversational AI to identify investment opportunities and defend portfolios for crypto investors.
Benefits:
Competitive salary and equity package
Remote work environment with a flexible schedule
Professional growth opportunities
Exposure to global industry experts
Collaborative and supportive company culture
Education Requirements:
Bachelor’s degree in Business, Finance, Engineering
Advanced degree (MBA) is a plus
Experience Requirements:
8+ years of B2B/institutional sales or BD
Track record closing six- to seven-figure deals
Understanding of blockchain, crypto, and staking
Experience negotiating complex contracts
Network within institutional asset management
Other Requirements:
High emotional intelligence
Entrepreneurial mindset
Willingness to travel globally
Ability to bridge technical and business value
Responsibilities:
Define institutional go-to-market strategy
Map and build a pipeline of institutional targets
Lead negotiations with major prospects
Oversee onboarding and integration
Drive retention and expansion within accounts
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Enterprise Sales Development Representative
Access structured B2B data and real-time market signals to power context-aware AI agents, automate lead enrichment, and identify high-value target accounts.
Benefits:
Equity compensation in addition to cash compensation.
Competitive medical, dental, and vision insurance plans.
Paid parental and maternity leave.
Unlimited PTO.
A fantastic company culture that prioritizes teamwork and growth.
Experience Requirements:
6+ months of client-facing sales or business development experience in a B2B environment with a record of success.
Excellent verbal and written communication skills, with the ability to lead executive-level discussions.
Proven track record of creative, persistent, and effective outbound sales lead follow-up messaging.
Consistent history of exceeding sales targets.
Strong commitment, attention to detail, organizational skills, and multitasking abilities.
Other Requirements:
Self-starter, comfortable with limited supervision, and adaptable to a multi-cultural startup environment.
Prior outbound and inbound SDR/BDR experience.
Previous experience at a high-growth SaaS company.
Proficiency with Salesforce, Salesloft, LinkedIn, Outreach, Claude, Perplexity, and OpenAI (or similar tools).
Strong focus on achieving goals.
Responsibilities:
Become an expert in Explorium’s solutions, serving as the initial point of contact for many sales prospects.
Identify new organizations and stakeholders that align with Explorium’s buyer and customer personas.
Consistently and professionally follow up with leads through cold outreach (email, phone, and LinkedIn).
Collaborate with Account Executives to schedule qualified meetings and build the sales pipeline.
Meet or exceed assigned sales goals while fostering cooperation and sharing best practices.
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Senior Software Engineer - Applications (NYC)
Empower frontline teams to capture and share job-site knowledge instantly using AI-powered video recording and microlearning for higher efficiency and safety.
Benefits:
Health and wellness programs
Time away
Annual performance bonus
Stock
Fair and equitable compensation
Education Requirements:
BS (or higher) in Computer Science or related technical field
Experience Requirements:
2+ years of industry experience
Other Requirements:
API Development
Advanced Programming Skills
Database Management
Performance Optimization and Scalability
Collaboration
Responsibilities:
Scale distributed applications
Develop multi-tier scalable, high-volume performing applications
Produce unit tested and code reviewed software
Provide technical leadership
Execute large-scale, cross functional programs
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Senior Software Engineer
Empower frontline teams to capture and share job-site knowledge instantly using AI-powered video recording and microlearning for higher efficiency and safety.
Benefits:
Competitive pay
Equity
Benefits
International offsite
Experience Requirements:
Experience building complex web products end-to-end
Expertise working on all parts of the stack
Proficiency with Ruby on Rails and React
Strong written communication skills
Desire and ability to work autonomously
Other Requirements:
High empathy
Remote work in the Americas
Low-meeting culture
Documentation-first culture
Responsibilities:
Own development of product features end-to-end
Scoping, architecting, coding, testing, and rolling out features
Work closely with engineers and designers
Make improvements to developer productivity
Mentorship
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Customer Success Manager
Achieve 100% data transparency and GDPR-compliant multichannel tracking for e-commerce and lead gen brands using patented hybrid technology and AI matching.
Responsibilities:
Shape experiences that make complex workflows feel simple.
Collaborate closely with product managers and engineers to turn ideas into intuitive interfaces.
Reduces wasted effort by cutting duplication and rework.
Empowers teams to make faster, better decisions.
Creates accountability without micromanagement.
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Engagement Manager, AI Solutions
Build production-ready AI models faster by replacing manual labeling with programmatic data development, dataset curation, and automated evaluation workflows.
Benefits:
Career growth and learning support
Meaningful opportunities to shape priorities
Influence key strategic decisions
Reasonable accommodation
High-growth work environment
Education Requirements:
Advanced degree preferred (MBA or Master’s in computer science, applied statistics, mathematics, or related field)
Experience Requirements:
5+ years in a technical, client-facing role (e.g., management consulting, professional services, or customer success)
Strong background in project delivery and collaborative problem-solving
Experience with AI/ML initiatives or involving standard AI technologies
Proven ability to understand client objectives and design solutions
Track record of overseeing a portfolio of engagements
Other Requirements:
Willingness to travel up to 25%
Excellent communication and presentation skills
Ability to translate complex technical concepts for broad audiences
Responsibilities:
Collaborate with data science and engineering teams to shape AI/ML use cases
Lead the end-to-end delivery of enterprise AI projects
Manage comprehensive project plans and related artifacts
Identify expansion opportunities through adjacent use cases and new stakeholders
Serve as the primary interface between client C-suite and Snorkel’s technical teams
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Senior Integrations Manager
Stop financial crime and automate risk decisioning with real-time fraud prevention, behavioral biometrics, and AI agents designed for banks and fintech teams.
Benefits:
Generous compensation in cash and equity
Flexible paid time off
MacBook Pro delivered to your door
Health insurance coverage
4% matching in 401k / RRSP
Experience Requirements:
10+ years of hands-on experience as implementation manager or integrations engineer
5+ years of B2B SaaS experience in fraud, risk, or compliance
Other Requirements:
Advanced experience with SQL querying and JSON payload analysis
Experience with API specs like OpenAPI
Ability to write scripts (Python, SQL, Ruby, Bash)
Responsibilities:
Lead implementation and integration for fraud products
Provide end-to-end support during client onboarding
Own APIs and SDK documentation
Analyze technical requirements and design solutions
Manage implementation projects and timelines
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Product Manager (B2B SaaS / Healthcare AI)
Identify potential health causes and receive personalized care recommendations in just three minutes with an AI symptom checker developed by medical experts.
Benefits:
~USD $80K annually
Stock options
Remote-friendly
Flexible working arrangements
Continuous learning support
Education Requirements:
Professional coding experience
Background as a Software Engineer
Experience Requirements:
2+ years of Product Management experience
Experience in B2B SaaS or the Healthcare industry
Other Requirements:
Comfort working in an LLM-native environment
SQL knowledge or experience with analytics tools
Track record of conducting user discovery (interviews, prototyping)
Responsibilities:
Own the product lifecycle for provider-facing solutions
Design and launch new SaaS products for HCPs
Build and scale LLM-powered services
Leverage structured and unstructured data for health outcomes
Develop provider-first solutions for global healthcare systems
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