Benefits:

• Competitive package

• Free drinks at Preface Coffee & Wine

• Free coding training

• Flexible hours and casual work attire

• International work environment and flat organisation

Benefits:

• Company stock options

• Fully remote flexible schedule

• 401k with employer contribution

• Health benefits

• Unlimited Required PTO (with minimum of 2 weeks per year requirement enforced by the company )

Benefits:

• Company stock options

• Fully remote flexible schedule

• 401k with employer contribution

• Health benefits

• Unlimited Required PTO (with minimum of 2 weeks per year requirement enforced by the company )

Benefits:

• Company stock options

• Fully remote flexible schedule

• 401k with employer contribution

• Health benefits

• Unlimited Required PTO (with minimum of 2 weeks per year requirement enforced by the company )

Benefits:

• Company stock options

• Fully remote flexible schedule

• 401k with employer contribution

• Health benefits

• Unlimited Required PTO (with minimum of 2 weeks per year requirement enforced by the company )

Benefits:

• Competitive equity packages

• Comprehensive dental, vision, and health benefits

• Optional participation in flexible spending and health savings account programs

• Unlimited PTO in most geographies

• 401K and Roth 401K plans participation eligibility

Benefits:

• Remote-first

• Home office setup

• Coworking spot sponsorship

• Annual learning and development budget

• Conferences speaking opportunities, internal knowledge sharing and workshops

Education Requirements:

• University degree in Computer Science or comparable qualification

Experience Requirements:

• 5+ years of experience in enterprise sales, working with Mid-market and Fortune 1000 Enterprise companies

• Knowledge of the Machine Learning lifecycle

• Experience with a Series B or C startup (highly desirable)

Other Requirements:

• Goal-oriented relationship builder

• Available for travel (50%+)

Responsibilities:

• Own the pre-sales cycle as a technical lead

• Produce proposals, perform demos, POCs

• Configure tooling for Haystack and deepset Cloud

• Participate in client meetings, presentations

• Understand clients’ domains and demonstrate how products can match their needs

Benefits:

• Remote-first

• Home office budget for equipment and furniture

• Coworking spot sponsorship

• Annual learning and development budget

• Conferences speaking opportunities, internal knowledge sharing and workshops

Experience Requirements:

• 1-2 years of SDR experience for a B2B technology company

Other Requirements:

• Excellent verbal and written communication skills

• Experience in cold-calling and cold-emailing

• Experience working with Hubspot or any other CRM

Responsibilities:

• Prospecting and expanding business opportunities

• Identifying and qualifying prospects

• Building and nurturing relationships

• Converting prospects into opportunities

• Collaborating with sales leadership to optimize sales process and define culture for future SDR hires

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Responsibilities:

• Collaborate with healthcare providers

• Integrate AI solutions

• Improve the detection and treatment of diseases

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:

• Competitive compensation

• Ownership

• Work/life balance

• Career growth

• A passionate team

Experience Requirements:

• Based in London

• Sales Leadership Experience

• Selling to Mid-Market & Enterprise

• High-Growth Experience

• Technical Sales Experience

Other Requirements:

• Market Knowledge

• Nice-to-have

Responsibilities:

• Lead, empower, and support a team of SDRs and AEs

• Drive customer acquisition and growth

• Provide coaching and mentorship

• Foster career growth

• Ensure AEs and SDRs have the tools

Benefits:

• Comprehensive health, dental and vision coverage

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

• flexible PTO

Experience Requirements:

• 10+ years of tech sales experience and 5+ years of people management experience.

• Experience training and coaching a high-performance enterprise sales team.

• Experience operating in an early stage, high-growth environment.

• Strong communication skills with the ability to clearly articulate technical concepts to a variety of audiences.

• Proven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.

Other Requirements:

• Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.

• Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently.

• Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success

Responsibilities:

• Recruit, mentor and lead a team of consultative, solution-based, Enterprise sales professionals.

• Own long-term strategy and day-to-day operations of the team.

• Be accountable for increasing revenue, forecasting accurately, and scaling the team.

• Work cross-functionally across the organization to build effective sales processes and solutions that meet the needs of Harvey’s clients.

• Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.

Education Requirements:

• Minimum of three years of experience as a data engineer or in a related role

Experience Requirements:

• Minimum of three years of experience as a data engineer or in a related role

• Proficiency in Python and SQL

• Experience with data pipelines and ETL processes

• Familiarity with cloud platforms (AWS, Azure, or GCP)

• Knowledge of data modeling and warehousing

Other Requirements:

• Specific hands-on experience with tools like Apache Spark and Kafka

• Strong analytical and problem-solving capabilities

Responsibilities:

• Collaborating with stakeholders to gather requirements

• Optimizing data pipelines

• Implementing data quality assessments

• Automating data processes

• Providing support for production activities

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Education Requirements:

• High school diploma or equivalent work experience

Experience Requirements:

• Strong technical knowledge and hands-on experience with computer networks, peripherals, and operating systems

• Excellent problem-solving and analytical skills

• Strong communication and interpersonal skills

• Ability to work independently and as part of a team

• Experience with remote desktop support tools

Other Requirements:

• Certifications in relevant IT fields are a plus

• Experience in a fast-paced small to medium sized environment

• Working knowledge of Windows, macOS, printers, networking, and antivirus

Responsibilities:

• Provide first-line support to end-users facing issues with hardware, software, networking, and other computer-related technologies

• Collaborate with IT staff on complex issues

• Provide user training and support for common software applications

• Handle problem recognition, research, isolation, resolution, and follow-up for routine user problems

• Log all help desk interactions and guide users through problem-solving processes

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Experience Requirements:

• strong experience working on the backend of a technology product

• comfortable working in a team that deals with ambiguity

• interested in writing high impact software

• enjoy mentoring and guiding more junior engineers

• some experience with python

Other Requirements:

• interested in the AI space or film industry

Responsibilities:

• Develop and maintain our products, written in Python, conforms with Flawless-wide coding and testing standards.

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Understand and recommend opportunities for improvement within the team and wider business.

• Deliver product features and solve Large scope engineering challenges.

• Break down and define large sized engineering problems in collaboration with other engineers.

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Education Requirements:

• BS in Visual Computing, Computer Science, or related field industry or research experience with computer graphics and vision

Experience Requirements:

• Strong programming skills in C++ and Python, with a focus on writing efficient code.

• Experience in cloud platforms such as GCP, Azure, or AWS.

• Experience in 3D modeling and rendering software, e.g., Blender, Houdini, Maya.

• Experience or Proficiency in one(or more) of key aspects 3D animation and simulation techniques, including blendshapes, finite element methods, and surface deformation.

• Physically-based simulation methods for various types of deformations.

Other Requirements:

• Geometry modeling and processing, including working with point clouds, meshes, and volumes.

• 3D Rendering techniques, including rasterization, ray tracing, volumetric rendering, and shader programming.

• Experience with modern machine learning and deep learning methods toward computer vision and computer graphics applications.

• Experience working in collaborative teams comprising researchers, applied scientists, and platform developers.

Responsibilities:

• Working on one (or more) of key aspects below toward generating photorealistic digital human.

• Innovate and implement advanced animation and simulation techniques, including blend shapes animation, finite element simulation, and surface deformation.

• Apply physically-based simulation techniques to deformations of soft and rigid bodies, including vertex, surface, and volume deformations.

• Develop and enhance animation techniques, such as skinning, blendshapes, and forward and inverse kinematics.

• Employ state-of-the-art rendering techniques like realtime rasterization, ray tracing, bi-directional path tracing, dynamic lighting, and physics-based rendering development.

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Education Requirements:

• Bachelor or Masters Degree in Computer Science, Machine Learning and Computer Vision

Experience Requirements:

• Highly knowledgeable in numerical optimization and linear algebra

• 6+ years in deep learning network optimization

• 6+ years in large deep learning system development

• 3-5 years building and managing teams of engineers

• Expert in Python/Pytorch or Tensorflow

Other Requirements:

• 5+ years experience managing vendors and building scalable ML pipelines for image and video modalities with tools such as Flyte, Prefect, AirFlow, or Kubeflow

• Experience with various cloud data storage technologies on AWS, GCP, or Azure

• Excellent communication and interpersonal skills with team and cross functional partners

Responsibilities:

• Manage team of Machine Learning Engineers managing and executing data curation, labeling, annotation and deployment.

• Evaluate team members, their performance and production.

• Oversee and deliver large deep learning development systems for the ML Engineering team.

• Manage delivery of deep learning network optimization to include quantization, model parallelization, and model distillation.

• Manage and deliver high quality datasets for ML pipeline and manage successful delivery of ML pipeline for ML Model deployment.