Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Education Requirements:

• Bachelor's degree or 2+ years experience with Master's degree

Experience Requirements:

• 4+ years of relevant industry experience with a bachelor’s degree; or 2+ years and a master’s degree

Other Requirements:

• In-depth Experience with LLM Frameworks

• LLM Fine-Tuning and Transfer Learning

• Data Handling Skills

Responsibilities:

• Contribute to building AI-powered workflows end-to-end

• Work with very high volume structured and unstructured data, create training and evaluation data sets

• Propose and systematically evaluate AI performance and cost improvement strategies

Experience Requirements:

• 4+ years of experience in a quota-carrying Account Executive or similar role

Other Requirements:

• Results-driven & metrics-oriented

• Adaptable & resilient

• Strong communicator and collaborator

• Tech-savvy

Responsibilities:

• Full sales cycle role

• Navigate complex sales

• Serve as the ear to the ground for the GTM organization

• Record your activity and what you’ve learned in a system of record

• Balance a strong sense of urgency in taking action with a long-game approach to customer relationships

Experience Requirements:

• 7+ years in demand generation or growth marketing

Other Requirements:

• Data Fluency

• Cross-Functional Collaboration

• Technical Acumen

• Creative Execution

• Growth Mindset

• Strategic Thinking

Responsibilities:

• Architect and scale Resolve AI's growth engine

• Build holistic, cross-functional demand generation programs

• Enhance MQL to SQL conversion rates

• Build and operationalize cross-channel programs

• Implement and manage a modular marketing stack

Experience Requirements:

• 5+ years in product marketing, product management, or a related role

Other Requirements:

• Customer-Centric

• Storytelling

• Collaborative

• Strategic and Tactical

• Data-Driven

• Adaptable

Responsibilities:

• Own and execute Resolve AI’s go-to-market strategy

• Develop clear, compelling messaging

• Produce impactful content

• Strategize and execute product launches and campaigns

• Partner with sales teams to develop training materials

Education Requirements:

• Bachelor's degree or 2+ years experience with Master's degree

Experience Requirements:

• 4+ years of relevant industry experience with a bachelor’s degree; or 2+ years and a master’s degree

Other Requirements:

• Backend Systems Expertise

• Cloud & Kubernetes Knowledge

• Product and Customer Focus

• AI and LLM experience and curiosity

Responsibilities:

• Lead or own the design of large subsystems and drive the implementations

• Follow the best software development practices

• Incorporate excellence in reliability, scalability, and performance in the design of distributed systems

• Participate in on-call rotations

• Participate in customer and design partner discussions

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Experience Requirements:

• Outbound Cold Calling

• Strong Selling Abilities

• Cold E-mailing

• ABM (Account-Based Marketing)

• Results-Driven Mindset

Other Requirements:

• Technology Savvy

• Communication Skills

Responsibilities:

• Identify and pursue high-value sales opportunities through outbound cold calling, email marketing, and social media engagement

• Develop and maintain strong relationships with customers and stakeholders

• Collaborate with the sales team to identify areas for improvement and implement strategies to drive sales growth and efficiency

• Stay up-to-date with industry trends and competitor activity

• Provide input and insights to inform product roadmap and feature development

Experience Requirements:

• 5+ years of experience in product marketing with a focus on product positioning, competitive analysis, and sales enablement

• Strong understanding of market research and analysis methods, including the ability to gather and analyze data to inform marketing strategies

• Excellent communication and presentation skills, with the ability to develop and deliver engaging content, including collateral, webinars, and presentation

• Proven track record of success in product launches, including the ability to develop and execute marketing strategies that drive product adoption and growth

Other Requirements:

• Ability to work independently and collaboratively as part of a remote team, with a strong focus on cross-team collaboration and communication

• Experience in content marketing, including the development and execution of content marketing campaigns and strategies

• Strong analytical skills, with the ability to analyze data and identify trends and opportunities for growth

• Ability to work in a fast-paced environment, with a strong focus on adaptability and flexibility

• Solid understanding of marketing channels and platforms, including social media, email, and content marketing

Responsibilities:

• Develop and execute product marketing strategies that align with the company's overall business goals and objectives

• Lead the development and implementation of product marketing plans to drive awareness and adoption in the North American market, leveraging expertise in market analysis, competitive intelligence, and customer insights

• Conduct market research and analysis to identify trends, opportunities, and challenges in the market

• Develop and execute competitive analysis to inform product positioning and marketing strategies

• Collaborate with cross-functional teams to develop and execute marketing campaigns that drive product adoption and growth

Benefits:

• Competitive salary and generous equity compensation

• Medical, dental and vision insurance

• Daily lunch and occasional coffee / snacks / beverages

Experience Requirements:

• 4+ years of engineering experience

• Strong familiarity with both frontend and backend development

• Flexibility to easily jump into unfamiliar frameworks, programming languages and tools

• Has tinkered with modern LLM and AI tools and understands their capabilities, and more importantly, their limitations

• Based in San Francisco, CA and willingness to work in-person five days a week

Responsibilities:

• Work on the core Supergood product, which is a platform for generating, monitoring and automatically maintaining third-party integrations

Benefits:

• Health, dental & vision benefits

• Flexible work environment

• Unlimited vacation

• Stock option grants

Experience Requirements:

• Confidence in building new products

• Experience mentoring others

• Excellent verbal and written communication skills

• Passion for learning new things

• Proven Experience with Language Models and NLP Techniques: Applicants must demonstrate experience working with large language models (such as Llama 2, Mistral, or similar architectures), including fine-tuning, and deploying models for various applications. Expertise in NLP techniques for text analysis, generation, and understanding is required.Experience with Vector Databases: Candidates must have experience with vector databases such as Pinecone, or PGVector, and possess familiarity with techniques for efficient vector search and similarity scoring. Knowledge of integrating these databases into applications in semantic search, recommendation systems, or content discovery using embeddings from language models is required.Strong Programming Skills: Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is essential. Experience with software development best practices, including version control (Git), code review, and CI/CD pipelines, is also necessary.Data Handling and Model Optimization: Experience in handling large datasets, preprocessing data, feature engineering, and optimizing models for performance and efficiency. Knowledge of parallel computing, GPUs, and cloud services (AWS, Google Cloud, Azure) for scalable model training and deployment is a plus.Collaboration and Problem-Solving Skills: Ability to work effectively in a team, collaborating with data scientists, software engineers, and product managers to integrate LLMs into products and services. Strong analytical and problem-solving skills, with the capability to tackle complex challenges and drive innovation in LLM technology

Responsibilities:

• Help build out our real-time LLM solutions

• Scale vector databases

• Productize and provision solutions from our research team

• Bring inventions into production

• Design and measure AI quality and evaluation metrics

Benefits:

• Diversity

• Appreciation

• Equality

• Numerous training and development opportunities

• Flexible working hours (some positions)

Education Requirements:

• PhD in physics, mathematics, material sciences, electrical engineering or a related natural or technical science

• Master's/Diploma in natural sciences (e.g. Computer Science, Mathematics, Physics) or related field

• Bachelor's or Master's degree in informatics, mathematics, physics or engineering science

• currently enrolled in university scientific studies in aerospace/electrical engineering, computer science, or a comparable field

• advanced studies in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Data Sciences, or comparable programs

Experience Requirements:

• practical research experience (at least 3 years) in (Cyber) Security, e.g. through a doctorate or other demonstrable research activities

• experience in machine learning

• Experience with Front-End development

• 3D-Finite Element Modeling and Multiphysics Simulation

• extensive experience in programming a common language (Python, MATLAB, C/C++, etc.)

Other Requirements:

• good communication and cooperation skills

• proficiency in English (spoken and written)

• enthusiasm, motivation and creativity

• good expertise in object-oriented software development with C++ and Python

• previous contact with machine-learning frameworks (e.g., PyTorch, Tensorflow, Caffe, …)

• experience with image processing methods (e.g., OpenCV)

• good knowledge in creating 3D assets with Blender

• basic programming skills in Python, C++ or C#

• Initial practical experience developing applications in VR/AR environments

• Knowledge in software engineering

• Experience with Typescript or REST API

• Basic knowledge of modern cryptography, preferably with initial exposure to homomorphic encryption

• Good programming skills in languages such as Python and JavaScript

• Interest in cryptographic issues and working in security-critical areas

• Teamwork skills, independent working style, and commitment

• Fluent in German and English (spoken and written)

• very good Python skills (LangChain, Ollama, embeddings, Chroma, …)

• understanding of general aviation technology and flight operations

• knowledge and experience in the area of machine learning

• knowledge and experience in software engineering (e.g., Git, Unit Tests)

• travel readiness

• willingness for security check (if necessary)

Responsibilities:

• Development of new ML-models for pose estimation

• Evaluation of the robustness and reliability of ML-models

• Development and optimization of front-end components for managing data spaces

• Integration of interfaces for seamless data integration and presentation

• Development and implementation of user-centered UX/UI designs for data spaces

Benefits:

• Hybrid & flexible work culture

• Globally distributed team

• Health, Dental, Vision, and a 401k program

• Opportunities for professional development

Benefits:

• 20 vacation days

• Day one health benefits

• Unlimited sick days

• Stock options

• Free lunch once a week

Education Requirements:

• Computer Science, Engineering or related degree, preferably MS or PhD

Experience Requirements:

• 2+ years of related experience

Other Requirements:

• Thorough understanding of deep neural nets

• Experience developing the internals of modern optimizing compilers

• Understanding of advanced optimization techniques

Responsibilities:

• Build software that maps a neural net onto our hardware

• Devise and implement multiple data layout strategies

• Build a tool that will solve a network layout for a set of constraints within the hardware given the available strategies

• Implement efficient mappings between data layouts

• Evaluate current and proposed hardware architecture for future products

Benefits:

• Flexibility in work location and schedules

• Work in a committed team

• Be part of an international team (30+ nationalities)

• Be your whole self in an inclusive environment

Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance

• Flexible working hours and remote work opportunities

• Generous vacation and leave policies

• Professional development and career growth opportunities

Benefits:

• Comprehensive health, dental, and vision insurance

• Company-sponsored retirement plan and competitive 401(k) match

• Paid parental leave

• Flexible time off

• Growth and development opportunities, including an annual professional development stipend

Education Requirements:

• Bachelor's degree in Human Resources, Business Administration, or a related field

Experience Requirements:

• 4+ years of experience as an executive assistant in a fast-paced environment.

• You’re a multi-tasker, detail-oriented, and have strong problem-solving skills.

• You are a team player and are ready to jump in when needed.

• You consider yourself calm, helpful, and can be creative in stressful situations.

• You have a great deal of discretion and understand what information is confidential.

Other Requirements:

• You possess strong communication skills and a high level of EQ.

• You are passionate about building strong relationships with your executive and the broader Harvey team

Responsibilities:

• Provide support to the executives in administrative functions including calendaring, schedule management, email management, travel coordination, expenses, and other high-priority items.

• Coordinate internal and external meetings including interviews, customer meetings, all-hands, off-site events, etc.

• Proactively manage calendar priorities based on customer meetings, fiscal calendars, current projects, etc.

• Take notes, manage action items, and assist in running meetings when needed.

• Effectively interface with internal and external stakeholders to prioritize the executives needs.

Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits (401k match up to 4%)

• flexible PTO

Experience Requirements:

• 3-9 years of experience in an analytics focused role - analytics engineer, data engineer or analyst / consultant with a strong engineering background

• Expert at answering product questions & crafting narratives with data

• Expert with SQL, dbt, Python, and other common analytics tools

• Eager to move fast & drive impact — you’d rather build an imperfect data model quickly that is used by many people than a perfect data model that collects dust

• Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies

Other Requirements:

• Strong communication with the ability to build meaningful stakeholder relationships

• Ability to thrive in ambiguous cross-functional projects across Product, GTM, and Finance

• Big picture thinking while still delivering on the details

• Experience in a B2B / commercial environment

Responsibilities:

• Establish the data & process foundation for product and general analytics at Harvey

• Partner with Product, Exec Team, GTM, & Finance to create and maintain standard dashboards that measure business health

• Collaborate with cross-functional teams to understand their business needs and formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations

• Deliver effective presentations of findings and recommendations to multiple levels of stakeholders

• Partner with engineering to define data schemas, data models, and make technology decisions