Benefits:

• Be heard

• Flexible work hours

• strong team spirit

• Competitive rewards

• Paid lunch

Education Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or related fields

Experience Requirements:

• 3+ years of hands-on experience in AI and data science, with a focus on LLM-based applications and business intelligence

Other Requirements:

• Proven experience in building and fine-tuning LLMs for real-world applications and in extracting business insights from large datasets

• Strong problem-solving skills with experience in transforming business requirements into data-driven solutions

• Proficiency in Python and SQL, along with experience with BI tools such as Power BI, Tableau, or similar platforms

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and transformer architectures

• Familiarity with cloud-based data warehouses, relational databases, and API frameworks

• Ability to communicate complex technical concepts clearly to various audiences

• Self-driven and proactive, with strong organizational skills and attention to detail

Responsibilities:

• Lead the development, fine-tuning, and deployment of LLM-based models and services to solve business problems, ensuring high performance and scalability

• Utilize business intelligence tools and methodologies to uncover key insights from complex datasets, supporting data-driven decision-making

• Collaborate with clients to understand their business needs and translate them into AI solutions, providing BI insights that drive strategic decisions

• Conduct data acquisition, cleaning, and exploratory analysis to support AI and BI objectives, ensuring the highest data quality

• Present complex AI and BI concepts to clients and stakeholders, clearly communicating technical details to both technical and non-technical audiences

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:

• 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:

• 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:

• 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:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Responsibilities:

• Develop and maintain integration solutions

• Collaborate with cross-functional teams

• Ensure high-quality code

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Experience Requirements:

• 1-3 years

Responsibilities:

• Ensure that our systems are secure, scalable, and always available to clinicians and patients

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Responsibilities:

• Research and development for various fundamental algorithms

• Analyze and interpret healthcare data

• Develop and improve AI models

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Experience Requirements:

• 4-5 years

Responsibilities:

• Develop Artificial Intelligence enabled products and platforms for healthcare

Benefits:

• Competitive pay, equity, and 401k plan

• Regular, thoughtful compensation reviews

• Support for professional development

• Remote first culture

• Flexible time off

Experience Requirements:

• 8+ years of experience in customer-facing communications, customer support/service or contact center management, with 4+ years of experience directly leading a customer support, service or care team

Other Requirements:

• Forward thinking mindset; experience in leveraging new technology to augment live customer support

• You take initiatives and are capable of learning new technologies / systems / features with little guidance

• History of using data to drive improvements in customer experience, product quality or operational efficiency

• Ability to be in office 2+ days/week

• Ability to work US east coast business hours

Responsibilities:

• Resolve inbound issues via call, chat, email, etc. through either immediate resolution based on the SOPs you’ve developed or through ticket issuance and follow-up with cross-functional teams

• Hire, train and lead a customer support team responsible for ensuring an excellent experience for our customers

• Establish and report on SLAs for customer responsiveness and time to resolution

• Collaborate with our Customer Success, Product Management and Operations teams to set requirements for the software tools, systems and integrations needed for effective and connected Customer Support workflows

• Collect and leverage data to drive continuous improvement internally within Customer Support, as well cross-functionally with Engineering, Product, etc.

Benefits:

• Competitive pay, equity, and 401k plan

• Regular, thoughtful compensation reviews

• Support for professional development

• Remote first culture

• Flexible time off

Experience Requirements:

• Minimum 5+ years of related work experience

Other Requirements:

• Expertise in one of the following: Objective-C, Swift on MacOS or C/C++ on Windows

• Demonstrable expertise in developing agents on one of MacOS or Windows

• Readiness to learn other systems languages (e.g. Rust, Go, Python)

• Experience with kernel-level debugging processes and tools

• Ability to use reverse engineering techniques and debugging of kernel space code

• Ability to decompose complex business problems and own them end to end across teams

Responsibilities:

• Designing and developing data exfiltration prevention apps, drivers, system extensions and services on MacOS or Windows

• Maintaining and evolving mission-critical agents on endpoints

• Own complex features from design to delivery and troubleshoot issues from customers

• Designing and building secure software with cross-platform deliverables (Windows, MacOS)

• Writing and maintaining documentation about internal and public services

Benefits:

• Strong technical culture of continuous innovation and improvement

• Flexible holidays & Insurance for you and your loved ones

Experience Requirements:

• 6+ years of strong experience in data mining, machine learning and statistical analysis

• Experience in productizing models to code in fast paced start-up environment

Other Requirements:

• Fluency in tools such as Python, Jupyter Lab / Notebook and libraries such as scikit-learn, pandas, plotly, numpy, keras, etc.

• Experience of interfacing with popular frontends and back-end built in Python

• Strong intuition for data and keen aptitude on large scale data analysis

• Strong communication and collaboration skills

• Exposure to clean energy solutions in solar, wind and energy storage would be preferred but is not essential. Exposure to time-series data and analysis would be preferred.

• Passionate about a clean energy future

• Innovative – you challenge the status quo and find creative solution to problems

• Resilient – you enjoy meeting challenges head on and persist till we find a scalable solution

• Data driven – you understand the importance of data in decision making

• Methodical and team player

Responsibilities:

• Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data.

• Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches.

• Productize proven or working models into production quality code

• Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions

• Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers

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:

• Medical insurance

• Unlimited vacation time for exempt employees

• Competitive salary & stock options

• Commuter benefits

Experience Requirements:

• Experience managing high performing and diverse software engineering teams

• Familiarity with full stack development, especially with Typescript and React

• Ability to work in a fast pace and navigate ambiguous situations at a startup

• Previous experience working as a frontend or full stack engineer and technical leader

• Strategic instincts and the ability to do the best thing for the company overall

Responsibilities:

• Manage, lead, and mentor engineers on the product engineering team

• Work closely with Engineering, GTM, Design and PM leadership to plan product strategy and build novel products

• Drive execution of software development, fostering a culture of innovation and collaboration

• Provide hands-on technical leadership to ensure a cohesive product experience and the right technical abstractions

• Work with enterprise customers to understand their needs and execute quickly

Benefits:

• Employee Friendly Policies, Processes

• Insurance Benefits

• Rewards and Recognition

• Travel and Accommodation

• Continuous Learning Opportunities

Experience Requirements:

• 5-9 years

• 8+ years

• 5-8 years

• 4-7 years

• 4-8 years

Benefits:

• Employee Friendly Policies, Processes

• Insurance Benefits

• Rewards and Recognition

• Travel and Accommodation

• Continuous Learning Opportunities

Benefits:

• Employee Friendly Policies, Processes

• Insurance Benefits

• Rewards and Recognition

• Travel and Accommodation

• Continuous Learning Opportunities

Experience Requirements:

• 5-8 years