AI Jobs

Benefits:

• medical, dental, vision, disability and life insurance

• 401(k) retirement savings with company match

• employee stock purchase plan

• flexible spending accounts

• education assistance

Experience Requirements:

• 10+ years of B2B marketing experience targeting Federal and SLED audiences

• Proficiency in Salesforce and Marketo

• Experience with Tableau, Google Workspace, and Slack

Other Requirements:

• Applicants must be authorized to work for any employer in the U.S.

• Direct experience working with ImmixGroup or Carahsoft is highly preferred

Responsibilities:

• Build and execute Federal and SLED go-to-market plans

• influence regional messaging, digital campaigns, and content creation

• Lead lifecycle of in-person and virtual events

• Collaborate with Sales and Channel Partners

• Report on metrics using Salesforce and Tableau

Benefits:

• Innovative Environment

• Growth Opportunities

• Collaborative Culture

• Work-Life Balance

• Competitive salary and benefits

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• 3-5 years of experience developing with strongly-typed languages

• Experienced in building and interacting with APIs

• Knowledge of AWS services and deployments

• Proficiency in service-oriented architectures

• Deep Knowledge of Python or TypeScript

Other Requirements:

• Located in the United States

• Knowledge of database technologies (relational and NoSQL)

• Knowledge of CI/CD processes and improvements

• Demonstrated ability to stay on top of new concepts and tools

• Ability to work long hours at a desk using a PC

Responsibilities:

• Work with product owners, data scientists, and other engineers

• Develop and maintain new front-end and back-end features

• Design for quality, reliability, and operational excellence

• Provide technical customer support as needed

Experience Requirements:

• Proven track record starting companies

• Building products

• Driving initiatives from concept to launch

• Deep domain knowledge in financial services or technology

Other Requirements:

• Problem Focused

• Solution Agnostic

• Move at Startup Speed

• Founder-Level Grit

• Navigate & Influence

Responsibilities:

• Build solutions addressing urgent market needs

• Test assumptions quickly

• Iterate on feedback

• Deliver results

• Lead cross-functional teams

Benefits:

• Flexible workplace model (Remote or Hybrid-remote options)

• On-Target Earnings total rewards philosophy

Experience Requirements:

• 15+ years of experience in Customer Success or SaaS leadership

• 10+ years leading global teams and leaders of leaders

• Demonstrated ability to scale organizations across multiple regions (AMER/EMEA)

• Experience supporting enterprise customers with API-driven products

• Strong executive communication and relationship-building skills

Other Requirements:

• Grit, Trust, Candor, Care, and Humility values

• Fluency in English

• Deep operational expertise in forecasting and KPI design

Responsibilities:

• Lead global CSM organization vision and strategy across AMER, EMEA, APAC

• Accountable for global retention, Net Revenue Retention (NRR), and health

• Act as executive sponsor for top strategic global customers

• Define global programs driving customer maturity and product adoption

• Analyze churn and renewal trends to refine global strategy

Education Requirements:

• Bachelor’s degree in Business, Marketing, or related field (Preferred)

Experience Requirements:

• 5+ years of proven success in sales

• Track record within SaaS, AI, or data-related technologies

• Experience selling AI or machine learning products (Preferred)

Other Requirements:

• Must reside in New York and be able to meet customers in-person

• Strong communication and influence skills

• Familiarity with CRM tools and Salesforce

Responsibilities:

• Drive new business opportunities and manage the entire sales cycle

• Identify and qualify prospects through cold calling and outreach

• Develop trusted relationships with enterprise decision-makers

• Deliver product demonstrations and develop proposals

• Achieve or exceed monthly and quarterly sales targets

Benefits:

• Medical, dental & vision plans

• Fully paid parental leave (12 weeks)

• Unlimited time off

• Equity

• LinkedIn Learning membership

Experience Requirements:

• 5+ years of experience in technical support or customer service

• Experience in SaaS or real estate tech preferred

• Familiarity with SLA management

Other Requirements:

• Hybrid: in-office at least four days per week

• Process improvement mindset

• Familiarity with ticketing systems

Responsibilities:

• Handle Tier 2 and escalated tickets

• Act as a point of escalation for critical issues

• Standardize support workflows and documentation practices

• Collaborate with EPD and Account Management teams

• Coach and train Tier 1 and Tier 2 support team members

Benefits:

• Fully supported hybrid work

• Comprehensive healthcare, dental, and vision plans

• Life insurance and disability coverage

• 401(k) with company match

• 12 weeks of paid parental leave

Experience Requirements:

• 7–8+ years of experience in B2B SaaS marketing, with strong exposure to product marketing and demand generation

• Proven experience driving pipeline and revenue through solution- or product-led GTM programs

Other Requirements:

• Ability to translate complex, technical platforms into clear, compelling buyer narratives

• Strong analytical mindset with comfort owning goals, metrics, and reporting tied to pipeline impact

• High-agency operator who can lead initiatives end to end with minimal oversight

• Comfort making decisions in ambiguous environments and moving quickly without perfect information

• Curiosity and enthusiasm for AI, experimentation, and building new GTM muscles alongside emerging technology

Responsibilities:

• Own the positioning, messaging, and go-to-market execution for Manifold’s core solutions, from narrative development to pipeline activation

• Develop and execute multi-channel GTM programs that drive demand for prioritized solutions, including campaigns, events, content, and sales enablement

• Partner closely with Sales to ensure solutions are clearly understood, consistently sold, and tied to measurable pipeline and revenue outcomes

• Translate platform capabilities into buyer-led solution narratives that clearly articulate value, differentiation, and business impact

• Support solution launches and expansions by aligning messaging across marketing, sales, partnerships, and the website

Benefits:

• Comprehensive healthcare (medical, dental, vision)

• Generous equity package

• 401(k) plan with employer contribution

• Short- and long-term disability coverage

• Flexible PTO policy

Experience Requirements:

• 1+ year of experience in sales or business development

• Experience with Salesforce and modern sales tools

• Cybersecurity or SaaS background preferred

Other Requirements:

• Excellent written and verbal communication

• High resilience and growth mindset

Responsibilities:

• Drive outbound pipeline by engaging prospects

• Connect with decision-makers for discovery

• Partner with Account Executives and Marketing

• Maintain accurate records in Salesforce

• Stay current on ransomware threats

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 8+ years of experience

• Expert in developing software with Python (5+ years)

• Expert proficiency in Kubernetes architecture and operations

• Experience designing diverse CI/CD pipelines with Harness.io

Other Requirements:

• Experience with GPU clusters or multi-node AI/ML

• Ability to influence others without formal authority

Responsibilities:

• Build secure, performant, and reliable micro-services

• Design and architect automated quality platforms

• Build systems to right-size computing resources for Kubernetes

• Work with Product, Legal and Security on continuous delivery

• Mentor senior engineers and foster positive team culture

Benefits:

• Choice of Medical plans

• Dental and vision

• FSA

• Short- and long-term disability

• Paid parental leave

Education Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, IT or related field

Experience Requirements:

• 6 years of experience as Data Scientist

• 3 years of experience consulting with customers on end-to-end data science solutions

• 3 years of experience building and implementing machine learning or AI models

Other Requirements:

• Experience with problem framing, data preparation, model building, and visualization

• Experience with AI algorithms and systems to generate business insights

Responsibilities:

• Develop and execute end-to-end enterprise-grade AI solutions

• Serve as a Data Science technical expert during customer engagements

• Conduct proof-of-concept and proof-of-value trials

• Solve complex data science problems using DataRobot

• Train end users

Benefits:

• Generous base salary

• Meaningful equity package

• Retirement 401k

• Healthcare

• Wellness stipend

Experience Requirements:

• Owned growth at a consumer or PLG company

• Personally shipped and scaled channels

• Built systems, not just campaigns

• Clear examples of metrics you moved

• Deeply fluent in funnels, cohorts, CAC/LTV, payback

Other Requirements:

• Candidates must be legally authorized to work in the United States

• Origin does not sponsor visas

• AI-native in how you work

Responsibilities:

• End-to-End Growth strategy and execution

• Personally run experiments across ad creative and funnels

• Build an AI-augmented growth engine

• Build creative & distribution systems

• Lead a small, elite growth team

Benefits:

• paid time off

• medical

• dental

• 401k

• vision

Education Requirements:

• Bachelor's degree or equivalent experience

Experience Requirements:

• 1+ years of experience in a customer-facing role

• Experience in a fast-paced, technology-driven environment

Other Requirements:

• Exceptional verbal and written communication skills

• Ability to establish trust with customers through competence and rapport

• Strong analytical skills with comfort interpreting data insights

• Detail-oriented with excellent organizational skills

• Highly curious, eager to learn, and adaptable

Responsibilities:

• Lead onboarding efforts and provide tailored web portal configurations

• Conduct regular account reviews to identify growth opportunities

• Gather customer feedback to collaborate with technical teams

• Design and implement new processes to enhance team efficiency

• Monitor customer support tickets to guarantee satisfaction

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 8+ years of experience

• Expert in developing software with Python (5+ years)

• Expert proficiency in Kubernetes architecture and operations

• Experience designing and operating diverse CI/CD pipelines with Harness.io

• Experience with gpu clusters or multi-node AI/ML

Other Requirements:

• CKAD (Certified Kubernetes Application Developer) certification (Nice to have)

• Agentic AI experience (Nice to have)

Responsibilities:

• Build systems ensuring micro-services are secure and performant

• Develop systems to right-size computing resources for Kubernetes

• Design and architect automated quality platforms

• Set roadmaps and define milestones for platform engineering

• Establish continuous delivery and performance requirements

Benefits:

• Choice of Medical plans

• Dental and vision insurance

• Patient advocacy program

• FSA (Flexible Spending Account)

• Short- and long-term disability plans

Education Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, IT or a related technical field

• Master’s degree (Alternative)

Experience Requirements:

• 6 years of experience as Data Scientist (or 3 years with Master's degree)

• 3 years of experience consulting with customers on end-to-end data science solutions

• 3 years of experience building and implementing machine learning or AI models into production

• Experience with predictive modeling and complex statistical analysis

• Experience building end-to-end AI solutions including problem framing and data preparation

Other Requirements:

• Ability to develop predictive models and AI algorithms across various industries

• Expertise in integrating models into client environments

• Ability to solve complex data science problems by building end-to-end AI solutions

Responsibilities:

• Develop and execute end-to-end enterprise-grade AI solutions for customers

• Serve as a Data Science technical expert during customer engagements

• Conduct proof-of-concept and proof-of-value trials

• Carry out AI implementation and operationalization

• Train end users and guide clients on evaluating success criteria