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Gradient Jobs (NOW HIRING)

Gradient is seeking a Client Relations Assistant to join our team! In this essential role, youll help jump-start our processes and ensure the day-to-day operations run smoothly, making a direct ...

Event Marketing Manager At Gradient Labs, we're building an AI agent to redefine customer experience and operational efficiency in the financial services sector . Founded in 2023, we've quickly gone ...

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 ...

Event Marketing Manager At Gradient Labs, we're building an AI agent to redefine customer experience and operational efficiency in the financial services sector . Founded in 2023, we've quickly gone ...

AI Delivery Lead At Gradient Labs, we're on a mission to make exceptional customer service the norm. Founded in 2023, we've quickly gone from an idea to a growing team with customers you know (and ...

AI Delivery Lead At Gradient Labs, we're on a mission to make exceptional customer service the norm. Founded in 2023, we've quickly gone from an idea to a growing team with customers you know (and ...

GTM Engineer At Gradient Labs, we're building an AI agent to redefine customer experience and operational efficiency in the financial services sector . Founded in 2023, we've quickly gone from an ...

The Company Gradient is a fast-paced, creatively led experiential marketing agency based in NYC. Known for designing award-winning experiences for top-tier clients in the spirits, fashion, beauty ...

GTM Engineer At Gradient Labs, we're building an AI agent to redefine customer experience and operational efficiency in the financial services sector . Founded in 2023, we've quickly gone from an ...

Graphic Designer

Manhattan, NY ยท On-site

$70K - $80K/yr

The Company Gradient is a fast-paced, creatively led experiential marketing agency based in NYC. Known for designing award-winning experiences for top-tier clients in the spirits, fashion, beauty ...

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Gradient information

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How much do gradient jobs pay per hour?

As of Jun 12, 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.

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.

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 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:
What states have the most Gradient jobs? States with the most job openings for Gradient jobs include:
Infographic showing various Gradient job openings in the United States as of June 2026, with employment types broken down into 48% Full Time, 51% Part Time, and 1% Contract. Highlights an 46% Physical, and 54% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Enterprise Account Executive, US Financial Institutions

Enterprise Account Executive, US Financial Institutions

Gradient Labs

New York, NY โ€ข Remote

Full-time

Posted 15 days ago


Job description

Enterprise Account Executive, US Financial Institutions

At Gradient Labs, weโ€™re building an AI agent to redefine customer experience and operational efficiency in the financial services sector.

Founded in 2023, weโ€™ve quickly gone from an idea to a growing team with customers you know (and probably love). Our powerful AI agent is unique: itโ€™s the only AI operations agent built specifically for financial services, handling even the trickiest, high-stakes customer queries safely and effectively. Crucially, it serves as one unified agent across the entirety of your customer operations, giving businesses the comprehensive visibility and control they need to trust all outcomes.

Weโ€™re a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. If youโ€™re excited to tackle some of the hardest problems in AI and help shape the future of customer operations and experience, weโ€™d love to hear from you.

๐ŸŽฏ How youโ€™ll make an impact

You'll be at the forefront of our US growth, playing a critical role in shaping how we win in a segment we believe is underserved by AI vendors: community banks, regional banks, and credit unions. This is more than just a sales role: it's a chance to build, influence, and lead.

We're looking for a highly motivated AE who thrives in a fast-paced, high-growth environment. A natural relationship-builder with a proven ability to not only close deals but help build the foundation of a sales motion in a new market.

  • Drive Revenue and Build the Foundation: Own the full sales cycle for community banks, regional banks, and credit unions across the US, from self-generated pipeline through to closing complex, high-value deals. You'll expand existing accounts and help define our sales motion in this segment.

  • Cultivate Key Relationships: Build long-term relationships with COOs, Heads of Customer or Member Experience, and other C-suite stakeholders. Act as a trusted advisor anchored on ROI and operational impact.

  • Champion Our Product: Evangelise Gradient Labs through tailored presentations, live demos, and strategic conversations. Work closely with product and engineering to bring market signal back into the roadmap.

  • Collaborate and Influence: Partner with marketing, AI Delivery, and the wider team to execute campaigns, streamline the customer journey, and deliver an industry-leading experience.

  • Shape the Future: As the founding US AE for this segment, help define our GTM motion, sales processes, and the standard for how we win community and regional financial institutions.

๐Ÿ’ก What youโ€™ll bring
  • Direct experience selling into community banks, regional banks, or credit unions, with a meaningful portion of your recent quota carried against this segment.

  • 5 to 7+ years closing enterprise B2B SaaS, with a consistent track record of six-figure+ ACV deals.

  • Full-cycle deal ownership, from self-generated pipeline through to security review and close, without reliance on a heavy SDR layer or inbound flow.

  • Consultative, value-based selling, with strong discovery and qualification discipline (MEDDPICC, Command of the Message, or equivalent).

  • Founding seller mindset, having operated as an early or founding AE at a Seed/Series A/B startup, or built a new territory or segment from scratch.

  • Multi-threaded selling, comfortable across the C-suite while navigating procurement, legal, security, and IT in complex enterprise buying committees.

  • AI and SaaS landscape fluency, with the ability to hold credible technical conversations and clearly articulate how Gradient Labs differs from incumbents.

  • High agency and ownership, with tight async hygiene in Notion, Slack, and the CRM.

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.

Youโ€™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 thatโ€™s driven to build something groundbreaking.