Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• Competitive and equitable compensation

• Performance-based incentives

• Various benefits designed to support your well-being and professional growth

Education Requirements:

• Degree in engineering, science, or computer science (Bonus Points)

Experience Requirements:

• Top-tier management consulting or similar professional client service experience

• Experience in business development or strategic partnerships

• Domain expertise in AI, advanced manufacturing and/or semiconductors

Other Requirements:

• Exceptional written, verbal, and interpersonal communication skills

• Entrepreneurial mindset with a strong sense of ownership, high level of motivation to succeed, and adaptability to fast-paced environments

• Willingness to travel domestically and internationally as required

Responsibilities:

• Developing Normal's GTM strategy in collaboration with cross-functional teams, and driving its execution

• Working closely with customers to understand their needs and objectives

• Gaining a deep understanding of the enterprise AI landscape and Normal’s relevant application landscape

• Building and maintaining a growing enterprise partnership ecosystem

• Driving cross-functional coordination with internal stakeholders

Benefits:

• Innovative company culture

• Flexible work schedules

• Family paid leave

• Paid healthcare for employees

• 401k

Experience Requirements:

• 5+ years of relevant experience in marketing and product marketing

• Experience in working with sales teams in B2B

• Proven track record of managing complex projects and delivering them on time

Other Requirements:

• Experience in cybersecurity is required

• Exceptional communication skills, with the ability to craft and narrate engaging stories

• Data-oriented mindset, with the ability to leverage data and insights

• Self-starter with the ability to work proactively and take ownership

• Previous startup experience

Responsibilities:

• Written and verbal communication via marketing materials (e.g. case studies, seller enablement materials, battle cards) and customer-facing content

• Engage in cross-company, client, and broker discussions to glean insights that inform marketing claims, content creation, messaging, and positioning

• Go deep to become the go-to expert for why anyone should choose Resilience’s technology, data science, and solutions by understanding the customer, category, culture, and company

• Advocate for existing and prospective users and buyers to win against the competition

• Collaborate with cross-functional teams such as product managers, underwriting, sales, customer success, and marketing

Benefits:

• 401(k) plans

• Comprehensive Healthcare and Dental Benefits

Education Requirements:

• Ph.D. or Bachelor's degree in a quantitative field such as Computer Science, Mathematics, or equivalent industry experience

Experience Requirements:

• 4+ years of experience working with AI/ML models, specifically in the fields of document understanding, computer vision, and multi-modal learning

• Proven expertise in training and evaluating models for complex document extraction

• Deep NLP Expertise

• OCR Integration

• Model Pretraining and Fine-tuning

Other Requirements:

• Solid programming skills in Python and proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch)

• Layout Analysis

• Benchmarking and Evaluation

• Vision-Language Models

Responsibilities:

• Design, train, and evaluate document understanding models for extracting complex data

• Develop and optimize multi-modal visual Q&A models

• Collaborate with the team to integrate AI-driven features into Tensorlake’s platform

• Work closely with users and customers to understand their needs

Benefits:

• 401(k) plans

• Comprehensive Healthcare and Dental Benefits

Education Requirements:

• Ph.D. or Bachelor's degree in Math, Computer Science, or other quantitative fields, OR equivalent experience

Experience Requirements:

• 7+ years of relevant work experience

• Experience in building large-scale distributed systems

Other Requirements:

• Knowledge of systems programming languages such as Rust, Go, C++, or C

• Designing observable systems that operate at internet scale

• Deep knowledge of operating and using cluster schedulers

Responsibilities:

• Design and implement a distributed control plane for operating Indexify on public clouds

• Design and implement workflows for cluster operations and bootstrapping in VPCs

• Focus on long term operability of the system and services

• Work closely with the Founder on the company's technical direction and platform

• Work closely with our users to learn the impact of our product and improve their experience

Benefits:

• Healthcare, Dental and Vision Insurance

• 401(k) plans

• 5 weeks of PTO

Experience Requirements:

• At least 7 years of front-end or full-stack development

• Familiarity with technologies such as Python, React, Typescript, FastAPI, or SQLAlchemy

Other Requirements:

• Motivated people who are excited to build tools to power the next generation of cloud applications

• Passionate about working adjacent to users and the product

Responsibilities:

• Develop delightful UIs or high quality backend business logic that empower software developers and simplify programming

• Work with a team of leading distributed systems and machine learning experts

• Communicate your work to a broader audience through talks, tutorials, and blog posts

• Help us to build and shape a world class company

Experience Requirements:

• Demonstrated success in delivering and maintaining AI products at scale

• Deep knowledge of best engineering practices

• Capability of delivering industry-leading AI solutions

• Strong communication and collaboration skills

Responsibilities:

• Lead the engineering team to design, develop, and deploy high-performance, secure, and reliable ML services

• Partner closely with the ML team to streamline and optimize the transition from experimentation to production

• Deeply understand customer needs and industry trends

• Work directly with customers to deliver tailored solutions

• Establish yourself as a thought leader in the AI safety and compliance domain

Experience Requirements:

• 4+ years in DevOps or related field

• Proficiency in IaC and CI/CD automation tools

• Strong expertise in managing Kubernetes clusters

• Advanced programming skills in Python and Bash

• Excellent analytical and troubleshooting skills

Responsibilities:

• Build and improve our CI/CD pipelines

• Manage our CD processes using ArgoCD

• Manage our entire AWS infrastructure using Terraform

• Implement and manage monitoring and alerting

• Implement and maintain security best practices

Experience Requirements:

• 5+ years of experience developing user interfaces with TypeScript, React

• Demonstrated experience in front-end architecture

• Strong proficiency in translating design mockups

• Experience with state management solutions

• Solid understanding of accessibility standards

Responsibilities:

• Architect, design, and develop front-end systems

• Rapidly translate Figma mockups into fully functional user interfaces

• Lead the design reviews

• Optimize applications for speed, scalability, and cross-browser compatibility

• Implement and manage state management solutions

Experience Requirements:

• 3+ years of experience developing and managing scalable services in Kubernetes

• Proficiency in Kubernetes, cloud services, and modern DevOps practices

• Proven track record of collaborating with customers

• Strong programming skills in Python or other relevant languages

Responsibilities:

• Design, develop, and maintain our Kubernetes-based infrastructure

• Take full ownership of the infrastructure

• Be innovative, apply industry best practices

• Develop and maintain automated testing frameworks and CI/CD pipelines

Education Requirements:

• Bachelor’s degree in Business Administration, Marketing, or a related field

Experience Requirements:

• At least 8-10 years of experience in customer success

• Strong understanding of customer success metrics

• Excellent interpersonal and communication skills

• Demonstrated ability to manage and inspire a team

• Proficient in CRM and Customer Success software platforms

Responsibilities:

• Build and lead Customer Success Team

• Customer Relationship Management

• Customer Onboarding and Adoption

• Customer Advocacy

• Retention and Growth Strategies

Experience Requirements:

• Experience with managing teams, projects, or products

• Experience with machine learning topics is a plus

• Experience leading ML or engineering teams in financial services is a plus

Responsibilities:

• Develop strategies to most effectively address enterprise customer needs

• Prepare presentations and materials

• Identify and quantify pain points and needs

• Execute plans for successfully meeting customer deliverables

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred

Experience Requirements:

• 8+ years of experience in a technical pre-sales or sales engineering role

• Deep understanding and hands-on experience with AI, machine learning, and cloud computing technologies

• Proficiency in container technologies such as Docker and Kubernetes

• Proven track record of leading successful technical sales engagements

• Strong communication and presentation skills

Responsibilities:

• Build and Lead Sales Engineering Team

• Technical Sales Leadership

• Customer Engagement

• Product Alignment

• Product Evangelism

Experience Requirements:

• Significant experience deploying and securing production AI/ML infrastructure

• Deep understanding of popular security posture management tools and practices

• Strong familiarity with AI/ML concepts

• Previous experience in security services setup or at a large SaaS security company is highly desirable

Responsibilities:

• Work directly with customers to assess and enhance their AI/ML security posture

• Design and implement architectural patterns and proof of concepts

• Collaborate with cross-functional teams

Experience Requirements:

• Deep domain knowledge in LLM safety and/or evaluation techniques

• Extensive experience in designing, implementing, and maintaining production-ready ML code

• Comfortability with leading end-to-end projects and collaborating with researchers and engineers

• Adaptability and flexibility

Responsibilities:

• Work at the intersection of ML and Engineering

• Perform rigorous testing of the product features

• Push the envelope by implementing novel techniques

• Work closely with our policy, product, and engineering teams

Experience Requirements:

• Domain knowledge in LLM evaluation and data curation techniques

• Extensive experience in designing and implementing LLM benchmarking

• Adaptability and flexibility

Responsibilities:

• Own LLM evaluation processes and methods

• Generate high quality synthetic data, curate labels, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing methods for benchmarking

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep domain knowledge in privacy-preserving ML

• Practical experience in techniques to attack or defend ML models

• Extensive experience in implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an ML privacy vertical

• Collaborate with our engineering team to deliver real-world applications

• Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking

Experience Requirements:

• Deep domain knowledge in LLM safety techniques

• Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an LLM vertical with a focus on a specific safety domain

• Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations