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Gradient Jobs (NOW HIRING)

Gradient Labs

Event Marketing Manager

New York, NY · Remote

At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs ...

Gradient Inc

General Clerk

Clackamas, OR · On-site

Gradient is seeking a General Clerk to support our Compliance team.In this essential role, youll help jump-start our processes and ensure the day-to-day operations run smoothly, making a direct ...

Gradient Labs

Event Marketing Manager

New York, NY · On-site

At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs ...

Gradient Labs

GTM Engineer

New York, NY · Remote

At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs ...

Gradient Labs

Senior Agent Product Manager

New York, NY · Remote

$129K - $170K/yr

At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs ...

Gradient Labs

Senior Agent Product Manager

New York, NY · On-site

$138K - $182K/yr

At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs ...

Gradient Experience

Video Intern

Manhattan, NY · On-site

$1.5K/mo

Manage Gradient's asset management system. * Maintain studio and control room equipment. * Assist staff with various Studio tasks. * Fill various positions on shoots. * Manage all equipment on the ...

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How much do gradient jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for gradient in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

Is Gradient a good company to work for?

Gradient is a company that offers roles in data science and machine learning, often requiring skills in programming and analytics. Employee reviews indicate varying experiences, with some citing a collaborative environment and others noting workload concerns. Prospective employees should research company culture and review current employee feedback for a comprehensive understanding.

What is the difference between Gradient vs Data Analyst?

AspectGradientData Analyst
Required CredentialsTypically requires a background in machine learning, data science, or related fields, often with programming skillsUsually requires a degree in statistics, mathematics, or business, with proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily in tech companies, startups, or research labs focusing on AI and machine learning projectsCommonly in corporate, finance, healthcare, or marketing sectors analyzing business data
Employer & Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for business insights, reporting, and decision-making

While both Gradient and Data Analyst roles involve working with data, Gradient focuses more on machine learning and AI development, requiring programming and technical expertise. Data Analysts primarily interpret and visualize data to support business decisions, often with less emphasis on coding. Understanding these differences helps in choosing the right career path or job search focus.

Why are Gen Z struggling to find jobs?

Gen Z job seekers often face challenges such as limited work experience, high competition, and employers' preference for candidates with specific skills or certifications. Additionally, economic factors and shifts toward remote work can impact their access to opportunities and entry-level positions.

What are Gradient jobs?

Gradient jobs typically refer to roles related to machine learning, artificial intelligence, or technology companies named 'Gradient.' In the context of machine learning, gradients are mathematical tools used in optimization algorithms, such as gradient descent, which is fundamental to training AI models. Professionals working in Gradient jobs might focus on developing, implementing, or optimizing these algorithms, or they could be employed by organizations that provide AI infrastructure or platforms, like Gradient from Paperspace. The responsibilities can range from research and development to software engineering, depending on the specific job role and employer.

What are some common challenges faced by machine learning engineers working on gradient-based optimization techniques?

Machine learning engineers focusing on gradient-based optimization often encounter challenges such as vanishing or exploding gradients, which can hinder model training, especially in deep neural networks. Debugging issues related to convergence, learning rate selection, and ensuring numerical stability are key aspects of the role. Collaboration with data scientists and researchers is essential to refine models and experiment with different optimization strategies. Staying updated with the latest advancements in algorithms and techniques also helps address these challenges effectively.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn over $1 million annually through salaries, bonuses, and stock options. Additionally, successful entrepreneurs, top-tier investment bankers, hedge fund managers, and certain professional athletes or entertainers may reach this income level, often requiring extensive experience, specialized skills, and significant responsibility.

What jobs pay 4000 a week without a degree?

High-paying jobs that can pay around $4,000 a week without a degree include roles such as commercial truck drivers, real estate brokers, and certain skilled trades like electricians or plumbers. These positions often require specialized training, certifications, or experience but do not necessarily require a college degree.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in gradient-based optimization, and why are they important?

To thrive as a Machine Learning Engineer focused on gradient-based optimization, you need a solid background in mathematics, statistics, and computer science, often with a degree in a related field. Expertise in frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of optimization algorithms are typically required, with certifications in data science or machine learning considered valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and explain complex concepts. These skills ensure that you can design, implement, and refine machine learning models that rely on gradient-based methods for optimal performance.
More about Gradient jobs
What cities are hiring for Gradient jobs? Cities with the most Gradient job openings:
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What job categories do people searching Gradient jobs look for? The top searched job categories for Gradient jobs are:
Gradient jobs near you
Infographic showing various Gradient job openings in the United States as of July 2026, with employment types broken down into 49% Full Time, 48% Part Time, and 3% Contract. Highlights an 47% Physical, and 53% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Sales Development Representative

Sales Development Representative

Gradient Labs

New York, NY • On-site

Full-time

Re-posted 18 days ago

Job description

At Gradient Labs, we're building the AI customer operations platform for financial services.
Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs specialist agents, purpose-built for financial services, to eliminate manual work across customer support and back-office operations. Together, they give product and operations teams the visibility and control to trust every outcome.
We're a team of builders from companies like Monzo, Wise, Mastercard, Revolut and Google. If you're excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we'd love to hear from you.
How you'll make an impact
As a Sales Development Representative, you'll play a critical role in driving market expansion in the Americas/Europe. You'll lay the foundation for our sales motion by engaging with prospects across the financial services sector, helping them understand the value of our AI agent through creative, well-researched, and highly personalised outreach.
  • Strategic account targeting: partner with Enterprise AEs to prioritise high-conviction accounts across banking, fintech, lending, and insurance.
  • Multi-channel prospecting: generate pipeline through cold calling, personalised email, and LinkedIn outreach that lands with C-level buyers.
  • AI-powered workflows: operate and tune tools for research, enrichment, sequencing, and signal monitoring so your time goes to the highest-value interactions.
  • First impressions: act as the first human touch from Gradient Labs, representing us as a trusted advisor from the opening message.
  • Product and market expertise: build real depth in our product, the financial services market, and where AI in customer operations is heading.
  • Cross-functional impact: feed sharp field signal back to Marketing, Sales Ops, and Product to compound targeting, messaging, and conversion.
  • The craft of sales: develop the skills that take you from BDR to top-performing AE, from discovery to objection handling to stakeholder mapping.

What you'll bring
  • Career ambition: you're hungry to develop into a world-class seller and communicate sharply, on a call and in writing.
  • Entrepreneurship: you're a self-starter who would rather build the playbook than wait for one.
  • Genuine curiosity: you ask insightful questions, listen well, and stay close to the AI category and the financial services market.
  • Multi-channel instinct: you use modern engagement tools across phone, email, and LinkedIn, and you're not afraid of the phone.
  • AI-assisted workflows: you've used tools like Clay, Apollo, or Outreach to enrich, sequence, or research at scale.
  • Growth mindset: you seek feedback and treat every week as a chance to get sharper.
  • Results orientation: you raise the bar on quota, progression, and the people around you.

Why join Gradient Labs?
This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive, and this role puts you right in the middle of that transformation.
You'll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that's driven to build something groundbreaking.

Apply