Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production system code

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track record of exceptional research or creative ML systems projects

• Comfortable writing model development code (PyTorch) for either training or inference

Responsibilities:

• Work on cutting-edge ML training and inference systems

• Optimize the performance and efficiency of our GPU clusters

• Develop new technologies that fine-tune leading consumer AI models

• Serve 20K+ QPS in production with LLMs

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• preferably 2+ years of industry experience

Other Requirements:

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models

• Have a track record of successfully owning projects from start to finish

• Have experience with generative models for various modalities

• Experience working with proven tools

• Experience working with diffusion models

Responsibilities:

• Determining the type of training data we need

• Developing new model architectures

• Creating new evaluations

• Writing fast inference algorithms

• Working with product teams to integrate feedback mechanisms into the product

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production-facing and training code

• Experience working with GPUs (training, serving, debugging)

• Experience with data pipelines and data infrastructure

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track-record of exceptional research or creative applied ML projects

Responsibilities:

• Develop alignment algorithms and loss functions

• Write data pipelines to process diverse web data

• Identify quality signals to understand our model’s performance

• Design sampling algorithms to improve serving efficiency

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 4+ years of experience supporting the infrastructure within an ML environment

Other Requirements:

• Experience in developing tools used to diagnose ML infrastructure problems and failures

• Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

• Experience working with GPUs

Responsibilities:

• Provide infrastructure support to our ML research and product

• Build tooling to diagnose cluster issues and hardware failures

• Monitor deployments, manage experiments, and generally support our research

• Maximize GPU allocation and utilization for both serving and training

Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain backend infrastructure

• Build and improve AI models

• Work with frontend engineers to integrate AI features

Education Requirements:

• A Bachelor's or Master's degree in Computer Science or a related field

Experience Requirements:

• Over 5 years of pertinent experience in leadership or senior roles

Other Requirements:

• Deep expertise in React and Typescript

Education Requirements:

• A Bachelor's or Master's degree in Computer Science, IT, or a related field

Experience Requirements:

• Over 5 years of notable experience in senior or leadership support roles

Other Requirements:

• Profound knowledge of troubleshooting techniques, especially in React, Typescript, or C++

Education Requirements:

• A Bachelor's or Master's degree in Business, Sales, or a related field

Experience Requirements:

• Over 5 years of impactful experience in senior or leadership roles in account management or sales

Other Requirements:

• Demonstrated success in B2B sales, especially in tech or SaaS environments

Benefits:

• Top-tier benefits

• Medical, dental, vision

• Unlimited PTO

• Free food

• Equinox membership

Education Requirements:

• Bachelor's degree (preferred for some roles)

Experience Requirements:

• 2+ years of experience (for some roles)

Responsibilities:

• Collaborate with M&A advisors

• Build across the entire stack (ReactJS + NodeJS)

• Work with latest AI tech

Benefits:

• Work with founders

• Significant career growth

• Best-in-class talent

• Top-tier benefits

• Free food, Equinox membership, NYC relocation allowance

Education Requirements:

• Bachelor's degree (preferred)

Experience Requirements:

• Experience with sales, prospecting, marketing tools

Other Requirements:

• Energetic phone presence

• Excellent listening skills

• Strong communication skills

Responsibilities:

• Source new opportunities

• Grow top of funnel

• Build relationships

• Uncover needs

• Collaborate with CEO and marketing team

Benefits:

• Work directly with founders

• High-impact role

• Growth opportunities

• Top-tier environment

• Unlimited PTO, Free food, Equinox membership, NYC relocation allowance

Education Requirements:

• Bachelor's degree in Finance, Business, or related field

Experience Requirements:

• 2+ years in dealmaking

Other Requirements:

• Financial acumen

• Communication & empathy

• Entrepreneurial spirit

Responsibilities:

• High-value advisory

• Efficient deal execution

• AI-enhanced deal preparation

• Strategic buyer outreach

• Process innovation

Experience Requirements:

• 5+ years in a consultative role with a proven ability to scale teams for growth and think analytically.

• 3+ years in professional services within financial services demonstrating experience in consultative solutioning.

• Demonstrated success in building and inspiring diverse teams that deliver revenue-driving results and strategies to deepen relationships with key stakeholders within client organizations

Other Requirements:

• Revenue Generating Mindset: Proven success at identifying and capitalizing on opportunities to increase revenue within the existing client base through upselling (higher-tier products) or cross-selling (complementary products). Ability to grow the footprint of existing accounts by expanding into new departments, regions, or product lines. Proven strategies to deepen relationships with key stakeholders within client organizations.

• Customer-Centric Approach: Solve problems using first principles, focusing on customer needs and innovative solutions. You're enthusiastic about tackling problems with fresh approaches and challenging status-quo thinking.

• Analytical Skills: Lead with data winning analytics that drive decisions and create compelling narratives that support complex business questions

Responsibilities:

• Build and Lead a Winning Team: Assemble and sustain a high-performing team of Growth Managers who align with our values and growth focus.

• Drive Growth: Collaborate with Sales, Marketing, and Product teams to craft and execute growth strategies that deliver clear business value.

• Evolve the Team: Refine our growth approach to engage strategically with customers using data-driven insights.

• Strategic Leadership: Set and execute strategies that drive revenue growth and ensure an outstanding customer experience.

• Customer Advocacy: Oversee increased product usage and strong renewals and identify upselling opportunities. Establish yourself as a trusted advisor, especially at the VP level.

Experience Requirements:

• 5+ years experience as a Deployment Lead, Engagement Manager, Technical Project Manager, Management Consultant, Client Solutions or Professional Services Lead. Past experience working with clients in the financial services industry is a plus

Other Requirements:

• High level of autonomy in delivering multi-stakeholder initiatives - Ability to take full ownership of your customer portfolio and make key decisions to deliver ambitious business outcomes. This includes: deciding when to include our executive team in customer escalations; defining de-escalation plans; mobilizing cross-functional teams to solution customer requests; and executing a mix of high vs mid-touch engagement commensurate with the growth potential of your customers

• Experience defining Customer Growth Plans - including the knowledge to define stakeholders, orchestrate relationships across multiple-levels of business, and ensure key touchpoints are coordinated to drive ongoing account success

• Technical implementation experience - you can configure a customer environment, and explain technical concepts to business stakeholders (API, Webhook, etc). Additionally, we’ll teach you about Nova Credit’s products, but our customers and products are inherently technical and you should have the curiosity to learn and creatively problem solve

• Entrepreneurial mindset - Adaptable to hybrid work settings, and resourceful in a fast-paced, lean environment (wearing multiple hats)

Responsibilities:

• Understand Nova Credit’s value, business model, and products

• Partner with customer business teams to shape business objectives and integration requirements

• Master our product technology, including the basics of enabling technical integration, user experience, customer acquisition, and credit risk decisioning amongst large financial institutions

• Plan and execute customer implementations at Nova Credit’s strategic accounts

• Measure & report on the ongoing effectiveness of respective customer launches

Experience Requirements:

• Significant experience (5+ years of quota-carrying experience) in a sales role and a strong track record of closing enterprise-level deals (3+ years focused on enterprise customers) with large target customers

• Proven track record selling data solutions to enterprise-level businesses

• Strong prospecting, qualifying, and negotiating skills; consultative sales approach with a product-centric mindset

• Ruthless focus on execution: excitement to operate autonomously in a fast-paced, ambiguous environment and help build processes and tools as needed

• Exceptional interpersonal skills, including highly structured written and verbal communication and strong, curious listening skills

Other Requirements:

• Desire to get (more) technical and the ability to learn the ins and outs of Nova Credit’s analytics

Responsibilities:

• Identify potential customers based on diligent prospecting and a clear path to revenue

• Run the end-to-end enterprise sales process to bring net new revenue, executing exceptional negotiation, deal structuring, and stakeholder alignment

• Build and maintain a broad array of stakeholder relationships within enterprises, from executives to technical product teams to credit risk officers

• Work with our sales and marketing teams to define and execute our sales strategy

Education Requirements:

• Relevant PhD or MS preferred (e.g. Data Science, Computer Science, Statistics, Applied Statistics, Operational Research)

Experience Requirements:

• 4+ Years Experience in data science, quantitative modeling, or machine learning in a bank or fintech

Other Requirements:

• Required - Fluency in generalized linear models & machine learning methods and tools;

• Preferred - Experience with hypothesis testing

• Required - Fluency using Python and SQL; Preferred - Experience using PySpark and Pola.rs

• Consumer credit risk knowledge is preferred

• Above all, the ability to break down new and complex problems into fundamental and solvable components

Responsibilities:

• Develop credit risk predictive models based on cross-border consumer performance data or bank transaction data

• Develop models to categorize and group bank transactions to support multiple Nova Credit products

• Use bank transaction data to develop attributes for credit risk, income verification, or other products

• Collaborate with our engineering organization to guide reliable deployments of data science products; Perform continuous research into new data sources, variables, and modeling methodologies

• Develop and execute model monitoring solutions