Intercom Fin, AI Jobs in Usa

Technical Product Manager - Data & ML Infrastructure

A stealth-mode AI startup is looking for a Technical Product Manager to join a team of engineers and researchers from Google and Frontier AI labs. You'll be leading the build and strategy of foundational systems that power machine learning and data-intensive applications, tackling problems where performance, reliability, and scale matter.

The Technical Product Manager will sit at the intersection of product, engineering, and AI research. They will define the roadmap for core data and ML infrastructure, work closely with engineering teams to translate ambitious technical goals into actionable plans, and engage directly with customers to ensure solutions solve high-impact problems.

This is not a typical PM role. The ideal candidate will need deep technical understanding of data systems, ML infrastructure, and pipelines, paired with the ability to prioritize and advocate relentlessly for customer needs. They’ll thrive in an environment where ambiguity is high, and technical decisions have immediate real-world impact.

The ideal candidate will have:

• 3+ Years' Product Management experience
• Strong technical background with experience in software engineering or ML systems
• Deep knowledge of data and ML infrastructure, including pipelines, storage, and compute
• A proven track record of working directly with customers to understand and solve real problems
• Excellent problem-solving and prioritization skills in fast-moving environments
• The ability to balance technical feasibility, user value, and long-term product vision

This role offers the chance to help shape the backbone of cutting-edge ML applications, working alongside a team with deep expertise in AI and engineering. It’s a high-ownership, high-impact role for someone who loves both building and defining technically complex products.

AI SaaS SALES - Healthcare Billing Startup

FTE | Bethpage, NY | Onsite Hybrid (4/1 with flexibility)

Company Overview:

Our client is a growing technology company that has developed an AI software platform that assists out-of-network doctors and healthcare providers in navigating the complexities of the No Surprises Act and automates their billing processes. The company operates as a SaaS provider, offering a fixed-cost solution that is unique in the market. They have over twenty clients and are revenue generating.

Role Overview:

They are seeking a hungry, ambitious, and driven Salesperson to join our team. This individual will be instrumental in expanding their client base by selling to out-of-network healthcare practices and third-party billers. This is a foundational sales role within a startup environment, offering significant growth potential.

Key Responsibilities:

Product Mastery - Complete an initial three-month in-office training period to thoroughly learn the AI software platform and its functionalities

Client Engagement - Travel to meet with prospective clients to conduct demos and close sales

Lead Generation - Utilize various tools and company resources (e.g., existing email lists, online resources, industry conferences) to identify and engage new leads

Sales Cycle Management - Perform cold calls, get "foot in the door," schedule meetings, and deliver compelling product demonstrations

Stakeholder Communication – Learn about client needs and present the software's value proposition to office managers, billing managers, doctors, and related “decision makers”

Required Qualifications & Candidate Profile:

• 2+ years of sales experience preferred but all ambitious individuals eager to be part of a growing AI company will be considered
• Polished presentation skills
• Strong capacity to learn complex systems and product details quickly
• Possessing a proactive sales mindset, comfortable with cold outreach and persistent follow-up
• Must be able to commute to the Bethpage office for the initial training period (3-4 months)

Associate Account Executive | AI & Cloud Infrastructure Sales

Core 4 Solutions | Eden Prairie, MN | On-site

Build a career selling the infrastructure that powers AI, cloud computing, and modern data centers.

Core 4 Solutions is growing rapidly and we’re looking for motivated individuals who want to build a career in enterprise technology sales. Our team works in one of the fastest-growing areas of technology, helping organizations deploy the infrastructure that powers cloud computing, artificial intelligence, high-performance computing, and modern data centers.

You do not need to meet every qualification listed to apply. If you are interested in the role and think you could succeed, we encourage you to apply.

Early on, much of the role will involve working inbound leads, qualifying opportunities, and learning the technology and sales process. Training and ramp time are expected, and we invest heavily in helping new team members build the knowledge and skills needed to succeed.

New team members receive structured onboarding and mentorship from experienced sales leaders while learning both the business and technical side of enterprise infrastructure sales.

Successful team members grow into Account Executive roles over time.

• Respond to and qualify inbound leads from customers interested in enterprise IT infrastructure and cloud environments

• Conduct outbound prospecting to identify and engage potential customers

• Utilize sales tools and CRM platforms to track leads and help build a strong sales pipeline

• Conduct outreach through phone, email, and other channels to set qualified meetings

• Work alongside senior sales executives to qualify opportunities and support active deals

• Learn to assess customer needs and position Core 4’s solutions across servers, GPUs, storage, networking, and cloud infrastructure

• Manage and track outreach efforts to ensure follow-ups and next steps are executed efficiently

• Attend industry conferences and networking events when applicable

• Participate in ongoing training to strengthen sales techniques and industry knowledge

• Strong communication and interpersonal skills

• Willingness to work from our office in Eden Prairie, MN

• A motivated, self-directed mindset and desire to achieve goals

• Interest in learning the technology behind modern cloud, AI, and data center infrastructure

• Ability to stay organized while managing a high volume of leads and follow-ups

• Comfort initiating conversations with new prospects and qualifying opportunities

• Willingness to work in a salary + commission compensation structure

• Willingness to travel occasionally for industry conferences and events

• A desire to learn, grow, and advance within a fast-paced sales organization

Previous experience in sales, business development, recruiting, hospitality, athletics, or other customer-facing roles can be helpful, but is not required.

Our sales team works hard, moves quickly, and supports each other. We take the work seriously but keep the environment collaborative and informal. People here tend to be curious, competitive, and willing to roll up their sleeves to figure things out together.

If you enjoy being around teammates who celebrate wins, learn from losses, and push each other to improve, you’ll fit right in.

This role provides hands-on mentorship from experienced sales professionals and exposure to complex enterprise technology deals across cloud infrastructure, data center hardware, and emerging AI workloads. Many successful enterprise sales professionals start their careers in roles like this and grow into Account Executive positions.

This role offers a base salary plus commission structure.

Base salary: $50,000 – $60,000 depending on experience

Expected On-Target Earnings (OTE):

• Year 1: $65,000 – $75,000

• Year 2: ~$90,000

• Year 3: $110,000+

Top performers can exceed these ranges as they ramp and take on larger opportunities.

If you're excited about the opportunity and believe you could succeed in this role, we encourage you to apply.

CommanderAI has built the go-to revenue engine for a $100B+ industry. We help haulers find, win, and keep more business using AI-driven data, automation, and a sales workflow built specifically for this market.

We’re hiring a high-volume Account Executive (AE) with uncapped upside to take qualified opportunities from our SDR team and turn them into long-term, high-value customers. If you love running tight sales cycles, delivering sharp demos, and closing net-new logos in an industry that’s just starting to adopt modern tech, keep reading.

What you’ll do

• Own the close: Take qualified meetings and opportunities from SDRs and drive them from discovery through demo, proposal, and signed agreement.

• Run high-impact discovery: Quickly understand a hauler’s line of business and current sales process so you can map CommanderAI to real business outcomes.

• Deliver killer demos: Lead a high velocity sales cycle with tailored demos that show owners and sales leaders how CommanderAI helps them find and win more customers.

• Master High-Velocity Sales: You will be a closing machine. Expect to handle a high volume of inbound demos daily (4-6+/day @ 20-30 min ea). You are ruthless with your time management, quick on your feet, and able to move haulers from "Hello" to "Signed" in 30 days or less.

• Build and manage pipeline: Maintain super fast sales cycles in a clean, accurate pipeline, including deal stages, close dates, and forecast in our CRM.

• Quote and negotiate: Create pricing proposals and quotes, handle objections, and negotiate terms that align value, margin, and long-term partnership.

• Collaborate to win: Partner closely with SDRs on handoffs and follow-through, and with onboarding / product to ensure a smooth go-live and strong early usage.

• Be the trusted advisor: Act as a consultative partner to haulers - not a feature pitcher - helping them modernize their sales process with AI.

• Bring the market back inside: Relay feedback, objections, and feature requests from prospects to leadership and product to help shape the roadmap.

What you’ve done

• Experience: 3+ years in a quota-carrying Account Executive or closing role in B2B, ideally SaaS. Experience selling into SMB / mid-market is a plus.

• Closing track record: Consistently hit or exceeded quota in a closing role, with clear examples of managing a structured sales process from discovery to close.

• Industry familiarity (nice-to-have): Experience selling to waste & recycling, field services, logistics, construction, or other operations-heavy industries.

• Strong communicator: Comfortable presenting to owners, GMs, and sales teams. You can simplify complex tech and keep the conversation focused on ROI and outcomes.

• Process & CRM minded: You live in a CRM, keep your pipeline clean, and can forecast your business with reasonable accuracy.

• Self-starter: You don’t need hand-holding. You show up prepared, run your territory like a business, and find ways to create momentum.

• Comfort with AI & software: You don’t have to code, but you should be comfortable demoing SaaS and talking about AI in practical, non-hype terms.

Why CommanderAI

• Compensation: Competitive base salary + uncapped commission and fast-payouts.
• Structure: Clear quota, transparent comp plan, and no cap on what you can earn if you keep closing.
• Category momentum: Waste and recycling is modernizing fast, and there is no dominant sales platform in the space yet. You’ll help define it.
• Real-world impact: You’re not selling another dashboard for marketers. You’re helping haulers win business, grow routes, and create jobs.
• Ground-floor seat: Join a tight, high-caliber team early, help shape the sales playbook, and grow into senior AE / sales leadership as we scale.

Equal Opportunity

CommanderAI is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

The Opportunity

The University of Central Florida (UCF) has established several interdisciplinary faculty research clusters to strengthen its academic offerings and research mission. In support of this effort, we invite candidates for two (2) tenure-earning assistant professor, tenured associate professor, or tenured professor positions with the university research center on Resilient, Intelligent, and Sustainable Energy Systems (RISES). The positions have an anticipated start date of August 8, 2026.

These are interdisciplinary positions that will be expected to strengthen both the RISES Center and a chosen tenure home department and may include a combination of joint appointments. A strong advantage of this position is the ability of the candidate to choose multiple units for their joint appointment in the College of Engineering and Computer Science, the College of Sciences, or both.

All candidates whose research are at the forefronts of energy systems, resilience, and sustainability will be considered. The technical fields of specific research interest for the two positions include but are not limited to:

Position # 1- Sustainable Energy Systems: Non-Combustion (Host Department: Mechanical and Aerospace Engineering):

An ideal candidate will have extensive expertise in pathways for novel processes of electric power generation and storage that do not involve combustion. The selected candidate should be proficient in process design, characterization, and modeling of low carbon electricity generation technologies that ensure access to affordable, reliable, and sustainable power for all. We seek candidates with a strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, and energy systems engineering, and a demonstrated research record in non-combustion-based electric power generation and/or energy storage.

Areas of particular interest include, but are not limited to:

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• Advanced nuclear energy systems, including small modular reactors (SMRs), microreactors, molten salt reactors, liquid metal reactors and high-temperature gas cooled reactors, especially those supporting grid resilience.

  
  

• Hydrogen production and storage, particularly hydrogen derived from nuclear or natural gas with carbon capture (blue hydrogen).

  
  

• Thermal energy storage and high-efficiency heat exchangers for industrial and grid-scale applications.

  
  

• Electrochemical systems, including next-generation batteries and fuel cells for defense, aerospace, and critical infrastructure.

  
  

• Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security.

  
  

• Experimental platforms for high-temperature, high-pressure energy systems.

  
  

• Risk-informed design of energy infrastructure.
  

  
  

Candidates should demonstrate the ability to lead an independent, externally funded research program and contribute to interdisciplinary collaborations. A strong record of peer-reviewed publications, mentorship, and engagement with industry, national laboratories, or large-scale research initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental platforms for energy systems is expected.

Position # 2 - Machine Learning and AI for Energy Systems (Host Department: Computer Science and possibly Electrical and Computer Engineering Department):

An ideal candidate would have extensive experience applying modern machine learning techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks and multi-head attention models). An experience with specialized foundation models is a plus.

Areas of interest include but are not limited to:

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• Energy market and load/generation forecasting, including short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling.

  
  

• Distributed infrastructure resource management, including data-driven modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed coordination and demand response optimization using AI.

  
  

• Distributed infrastructure system optimization, such as real-time optimization of interdependent infrastructure and energy systems using AI and advanced control methods, hybrid physics-informed and data-driven modeling and control for stability and flexibility.

  
  

• Energy system resiliency research, including detection of faults and cyber-attacks, outage prediction under extreme conditions, resilient cybersecurity solutions, and self-healing algorithms.
  

  
  

Candidates should demonstrate not only extensive experience in deep learning, reinforcement learning, and unsupervised learning but also evidence in interdisciplinary, human-centric, community-based, and data-driven research on energy systems.

Successful candidates will have research impact as reflected in high-quality publications and the ability to build a well-funded and sustainable research program. We are looking for team players who can further enhance our strong campus-wide efforts in energy systems research. The positions will carry ranks commensurate with the candidate's prior experience and record.

UCF is one of the nation's largest universities with a diverse student body of nearly 70,000 students and has grown substantially in size, quality, diversity, and reputation. Today, the university offers more than 240 degree programs. In 2019, UCF was officially recognized as a Hispanic Serving Institution (HSI) by the U.S. Department of Education and a "Green College" by the Princeton Review for our efforts in sustainability and environmental responsibility. UCF's students represent all 50 states and over 120 countries. UCF is in a centralized location that is 30 minutes to Walt Disney World and Universal Orlando and 60 minutes to the beach. UCF has 16 sports teams, including football, soccer/futbol, tennis, volleyball, and 600+ cultural, academic, and social student clubs and organizations all led by faculty mentors. In addition, UCF has several associations for faculty and staff, among them, the Black Faculty and Staff Association (BFSA), the Latino Faculty and Staff Association (LaFaSA), and the PRIDE Faculty and Staff Association. UCF received the 2019 Higher Education Excellence in Diversity (HEED) Award from INSIGHT Into Diversity magazine, which recognizes U.S. colleges and universities that demonstrate an outstanding commitment to diversity and inclusion.

The Carnegie Foundation has classified UCF as an R1 Doctoral University for its high research activity and community engagement. This past fiscal year, UCF brought in nearly $205M. The RISES center is one of nation's very top university research centers as measured by federal funding. For the fifth consecutive year, UCF has been recognized among the nation's most innovative universities according to U.S. News & World Report while Kiplinger's and The Princeton Review have ranked UCF as one of the nation's best values for a college education.

UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. UCF's Orlando location also puts it at the center of the Florida High Tech Corridor. The corridor has an excellent industrial base that includes software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that conducts over $2 billion in funded research, hosting more than 100 high-technology companies and UCF's School of Modeling, Simulation, and Training. UCF also has an accredited medical school which was established in 2006 and is a neighbor to the VA, Nemours, and the UCF Lake Nona Medical Center, all of which have a strong interest in sustainable energy systems research and demonstration. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world's best airports are just a few features that make Orlando an ideal location. We encourage you to learn more about UCF at faculty.

Minimum Qualifications:

• A Ph.D. or foreign degree equivalent from an accredited institution, in an area appropriate to the RISES center at the time of appointment. The selected candidate must also have a record of high impact research related to energy systems, demonstrated by a strong scholarly and/or funding record.

• In order to obtain tenure upon hire, the selected candidate must have a demonstrated record of teaching, research and service commensurate with rank in the tenure department.

Preferred Qualifications:

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• Past work experiences in a national lab and/or industry are desired.

  
  

• A history of working with teams, especially teams that span multiple disciplines, is a strongly preferred qualification.

  
  

• Prior work experience with energy storage systems is highly preferred.

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

• A curriculum vitae.

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  A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest. In the letter candidates must include:

  
  
  • 
    

  • their background in research and scholarship in or related to the areas noted in the job description above.

    
    

  • specifically highlight their interdisciplinary approach to research.

    
    

  • specify which position they are applying to and which department they plan to reside.

    
    
  
  

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• A teaching statement.

  
  

• A research statement.

  
  

NOTE: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed toDr. Zhihua Qu at .

Special Instructions to the Applicants:

Candidates needto specify in their cover letters which position they are applying to and which department they plan to reside.

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Job Close Date:

Open until filled

Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

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• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
  
• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
  
• Retirement savings options.
  
• Employee discounts, including tickets to many Orlando attractions.
  
• Education assistance.
  
• Flexible work environment.
  
• And more...For more benefits information, view the UCF Employee Benefits Guide click here.
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

Job Details

Position: Manager - AI Engineering

Location: Denver, CO (5 Days Onsite)

Duration: Long Term

In Person Interview Must after Video call interviews

About R Systems

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.

Company Link

Job Description:

Required Skills:

• 12+ years of experience in IT and software development
• 8+ years of management experience
• 4+ years of LLM experience (fine-tuning, RAG, prompt engineering, agentic)
• 8+ years of ML/Data Science Experience
• Someone who has been delivering AI/ML models into production (no research but real industry experience)
• Strong ability to mentor, builds teams, and drive technical vision

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!

R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.

Los Angeles, CA / New York, NY

Consulting GenAI / Full-time / On-site

Qvest.US is seeking an experienced Project Manager in Technical Delivery, GenAI, and Change Management to join our growing GenAI practice. In this role, you will lead several technology and business consulting projects ranging from the implementation of AI solutions, to the formulation of organizational and AI process strategy, to PMO establishment. You will drive effective change management to ensure successful adoption, stakeholder alignment, and sustained value delivery. We are looking for an organized and industrious leader who will motivate teams and directly contribute to our growth.

• Lead project teams through all core project phases of GenAI implementation, including project setup, requirements gathering, design, development, testing and deployment.
• Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations.
• Proactively identify risks and issues, and provide mitigation strategies.
• Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.

• 5-7+ years System Implementation, SDLC, Integration, and Project Management experience
• Experience implementing AI/ML/GenAI systems
• 3+ years in consulting / professional services, big firm experience preferred
• 2+ years of experience with organizational change management (OCM), including creating strategies to shepherd an organization and stakeholders through a large-scale change
• Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions
• Experience in project planning, including building and managing to project plans, budgeting, resource allocation, and reporting status to clients and internal teams
• Trained on process and/or technology methodologies (e.g. Lean Process Improvement, Six Sigma, Agile implementation, Waterfall model)
• System development life cycle (SDLC) experience
• Experience with presentation and spreadsheet tools, such as PowerPoint, Visio, and Excel
• Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields

• Experience in Media & Entertainment and/or Consumer Products industries
• Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)

We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest.US is currently 350+ people strong and we've been recognized as a \"Best Place to Work,\" a \"Great Place to Work,\" \"Fastest Growing,\" and \"A Jewel.\"

Equal Employment Opportunity

Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.