Resolve, AI Jobs in Usa

Key Responsibilities

• Serve as the primary computational lead on drug discovery projects, making AI/ML-derived insights central to critical Go/No-Go decisions rather than supplementary information.
• Establish and implement active learning loops that are realistic for wet-lab execution, statistically sound, and tightly integrated with experimental teams — moving beyond one-way prediction handoffs.
• Translate complex biological and chemical challenges into well-defined computational problems; pinpoint high-impact bottlenecks in the discovery pipeline where AI can meaningfully boost the probability of technical success.
• Collaborate closely with medicinal chemists, DMPK/ADME scientists, and biologists to design multi-parameter optimization strategies that incorporate synthetic accessibility, biological relevance, and ADMET considerations.
• Promote a culture that balances technical rigor with practical impact in drug discovery; mentor junior computational scientists on both model development and effective application to real-world project challenges.
• Evaluate and integrate promising external innovations — from academic research to emerging tools and startups — to strengthen internal capabilities.

Qualifications

• PhD in a quantitative field (e.g., Computer Science, Chemistry, Physics, Biology, or related) with a strong emphasis on molecular or life sciences.
• 3+ years of post-PhD industry experience in a pharmaceutical/biotech drug discovery setting, with demonstrated leadership in driving discovery projects and deep familiarity with the full drug project lifecycle.
• Strong knowledge of medicinal chemistry principles, ADMET/Tox concepts, and pharmacokinetic/pharmacodynamic considerations; ability to diagnose why a model may underperform in practice despite good benchmark metrics.
• Expert-level proficiency in modern AI/ML techniques (e.g., deep learning, generative models, graph-based methods, active learning), combined with practical judgment on when simpler approaches outperform complex ones.
• Record of first-author publications in high-impact journals or conferences relevant to computational chemistry, AI for science, or drug discovery.
• Proven track record where computational work directly influenced molecule progression, project strategy, or key decisions in a discovery program.
• Strong communication skills with a demonstrated ability to convey complex technical ideas and their strategic business value to cross-functional teams and senior leadership.

This role offers the opportunity to lead transformative AI applications in one of the most impactful areas of modern drug discovery.

Entry Level AI Platform Architect Position

Start Your Career in Healthcare Information Technology Today!

Getting your first job can be difficult when employers want experience, but to gain that experience, you need your first job. We bridge the gap between your education and professional career by helping you gain the experience and training you need within the Healthcare Information Technology Industry.

Optimum Healthcare IT is looking for recent college graduates with an interest in moving into the Healthcare IT Industry. Our Optimum CareerPath training program will equip you with the tools needed for your success as an AI Platform Architect.

AI Platform Architect Key Responsibilities:

• Support the design and configuration of AI-driven workflows that help automate healthcare administrative and clinical processes.
• Work with internal teams and client stakeholders to understand operational challenges and translate them into scalable workflow solutions.
• Assist in building and configuring automation workflows within a healthcare AI platform.
• Help gather and document business requirements, workflow logic, and integration needs.
• Support the development of workflows that leverage healthcare data from multiple sources including EHR systems, APIs, and other integrations.
• Assist with mapping and validating healthcare data such as patient demographics, appointments, forms, and clinical documentation.
• Collaborate with integration and engineering teams to support connections between healthcare systems and automation platforms.
• Participate in workflow testing activities including unit testing, integration testing, and user acceptance testing.
• Help identify and troubleshoot issues related to data flow, workflow execution, and system integrations.
• Support project teams by preparing documentation, tracking progress, and assisting with implementation timelines.
• Help train client users on new workflows and support adoption of automation solutions.
• Communicate technical concepts and workflow designs clearly to both technical and non-technical stakeholders.

Requirements:

• Bachelor’s degree in Information Systems, Data Science, Healthcare Administration, Data Analytics, or a related field.
• US work authorization (This position is not open to any H1B /F1/ H-4 EAD OPT/STEM degrees)
• Strong analytical and problem-solving skills with the ability to understand workflows and translate business needs into technical solutions.
• Basic understanding of healthcare technology concepts such as APIs, data integrations, or electronic health record (EHR) systems preferred.
• Strong communication skills with the ability to collaborate with both technical teams and non-technical stakeholders.
• Internships or research project work are highly desired in a healthcare setting

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach | Washington

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

About the AISI Fellowship 

The Boston Consulting Group’s AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world’s most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. 

Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. 

Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. 

What You'll Bring

• Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains.
• Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. 
• Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners.
• Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. 
• Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact.
• Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. 
• Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive):  
  • AI-accelerated materials discovery and optimization
  • Scientific foundation models (biology, chemistry, climate, or physical systems)
  • Simulation-augmented learning (e.g., physics-informed ML, RL + simulators)
  • Compute-enabling technologies (chip design, process optimization, algorithm–hardware co-design)
  • Quantum algorithms and hybrid classical–quantum workflows 

Who You'll Work With

Program Details

• Duration: 24 months, with possibility of transition into full-time role at BCG X.
• Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. 
• Resources: Full access to BCG’s infrastructure, compute resources, research datasets, and partner ecosystems. 
• Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. 

What Success Looks Like

By Month 6 

• Leading or co-leading a defined AISI research workstream
• Delivering models, methods, or code integrated into an active project
• Establishing a clear publication and/or IP trajectory identified

By Month 12 

• Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. 
• Being recognized internally as a go-to contributor in a priority scientific domain.
• Actively collaborating with at least one external partner or client R&D team.

By Month 24 

• Delivering multiple high-quality research outputs and/or patented IP.
• Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. 

Additional info

Why Join AISI?

•  Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. 
• Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery.
• Design and explore high-upside ideas that align with your research vision and AISI’s strategic priorities.
• Help build the foundational talent model for AISI as it scales into a global scientific innovation engine.

What This Fellowship Is Not 

• A traditional academic postdoc with a single PI and a narrowly defined research agenda.
• A consulting role focused on slide production or short-term delivery.
• A pure ML engineering role detached from scientific problem-solving. 

How to Apply 

• Submit your Resume/CV and a 1–2 page statement of interest attached to it (research background, domains of interest, and why AISI) 
• Share any relevant links to publications, code, or personal projects 

You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites.

At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees – and their eligible family members. * That’s zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: 

• Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children 

• Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs 

• Dental coverage, including up to $5,000 in orthodontia benefits 

• Vision insurance with coverage for both glasses and contact lenses annually 

• Reimbursement for gym memberships and other fitness activities 

• Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan 

• Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement 

• Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) 

• Paid sick time on an as needed basis 

*Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. 

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify.

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

Principal Research Scientist – AI & Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.

Responsibilities:

• Serve as PI or co-PI on government-funded R&D programs.

• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.

• Publish, present, and contribute thought leadership to the AI community.

• Mentor research staff and guide proposal development.

Requirements:

• PhD with 7+ years of research experience.

• Demonstrated leadership in ML, vision, or scientific computing.

• Record of funding, publications, and technical impact.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with multimodal learning, uncertainty quantification, or causal inference.

Why Novateur?

Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Project Manager

6 mo. contract to perm hire

Raleigh, NC

Required Skills & Experience

• 5–10 years Project Management experience (ideal)

• Strong technical understanding, ideally with AI / ML / GenAI exposure

• Ability to understand technical details and track progress with engineers & data scientists

• Strong stakeholder communication

• Self-driven, minimal hand-holding

• Experience running multi-team, cross-functional initiatives

Experience managing multiple projects concurrently

Nice to Have Skills & Experience

• Former developer or data scientist background before PM

• Hands-on experience with AI products, AI content pipelines, embeddings

• Experience in B2B environment

Experience in multi-year, large-scale data or ML programs

Job Description

• Manage multiple AI-related projects under the hiring manager's org

• Track progress across engineering + data science teams (~10 people)

• Manage long-term initiatives (multi-year)

• Coordinate embedding strategy project with 20–30+ cross-functional contributors

• Provide weekly updates and progress tracking

• No customer-facing work — only internal stakeholders

• Move projects forward proactively, ensure clarity, keep leadership informed

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to

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Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.

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.