AI Jobs

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• 7+ years of experience in backend or distributed systems

• 2+ years leading engineering teams

• Strong systems design instincts

• Experience building data platforms or lakehouse systems

• Track record of scaling production systems

Other Requirements:

• Office-based, 5 days per week

• Hands-on technical background

Responsibilities:

• Lead, mentor, and grow a senior global team

• Set technical direction through design reviews

• Own evolution of foundational storage and compute systems

• Translate strategy into clear roadmaps

• Establish standards for reliability and cost efficiency

Benefits:

• Competitive salary and meaningful equity

• Unlimited PTO + quarterly recharge days

• Fully covered premium health, vision, and dental

• Lunch & Dinner provided

• Team offsites and learning stipends

Experience Requirements:

• 5–8+ years of People Operations or HR experience

• 2+ years in a leadership or management role

• Knowledge of global employment law and HR systems

• Experience managing benefits, compensation, and immigration

• Experience in a fast-scaling tech company

Other Requirements:

• Ability to work full time out of Mountain View office

• Systems-oriented mindset

• Player-coach mentality

Responsibilities:

• Build and maintain People Ops infrastructure

• Lead end-to-end employee lifecycle

• Manage performance cycles and OKRs

• Design and execute engagement programs

• Manage immigration and sponsorship processes

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Fully paid medical, dental, and vision coverage

• Short-term disability, long-term disability, and life insurance

• Unlimited PTO

• 16 weeks paid parental leave

• 401(k) program

Responsibilities:

• Solve problems

• Collaborate across departments

• Shape the future of AI for millions of employees

• Build agentic AI

• Build better work experiences

Benefits:

• Cash bonus

• Equity rewards

• Comprehensive benefits package

Education Requirements:

• A Bachelor’s degree in Product Design, Human-Computer Interaction, Interaction Design or another relevant area of study

Experience Requirements:

• 4+ years of hands-on experience in interaction design, product design, service design, or a related field

Other Requirements:

• A strong foundation in design principles and methodologies

• A curious spirit and a dedication to testing new ideas and driving impactful business outcomes through innovation

• Excellent communication, presentation, and negotiation abilities

• Proven ability to articulate ideas and concepts through compelling storyboards, wireframes, and prototypes

• A stunning online portfolio that showcases your design skills and collaborative process

Responsibilities:

• Apply your strategic mind to design innovative, end-to-end user experiences that beautifully balance user needs, business goals, and technical possibilities across both web and mobile.

• Craft intuitive user interface designs, robust architectures, and seamless functionalities, always adhering to usability best practices, design standards, and, most importantly, insights from user testing.

• Generate the best creative and innovative solutions, delivering them with excellence within project timelines and scope.

• Take ownership of the entire design journey, from initial concept to successful implementation and user adoption.

• Be a valuable contributor to the positive culture and high-quality standards of our creative team.

Education Requirements:

• B.S./M.S. in Biochemistry, Biophysics, or a related field

Experience Requirements:

• minimum 1 year of academic or industry lab experience.

Responsibilities:

• Design and execute routine biophysical assays from beginning to end using methods such as SPR, DSF, and other biophysical techniques to characterize small molecule-protein interactions.

• Routinely and independently analyze & QC experimental data.

• Program, validate, and operate liquid-handling automation (Biomek Liquid handler, Multidrop Combi, Integra Viaflo & Voyager) for 384-well plate-based assays and use instrumentation such as plate readers for reproducible, publication-quality data generation.

• Communicate results efficiently & precisely in written format by maintaining electronic lab notebook.

• Presents work to supervisor, lab and/or project meeting.

Benefits:

• Competitive Pay

• Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees)

• Stock Option Eligibility

• 401(k) Plan

• Open PTO Policy Paid Company Holidays Free lunch and snacks at our offices

Education Requirements:

• A BSc, MSc, or PhD degree in immunology, molecular and cell biology, biochemistry or a related field

Experience Requirements:

• 8+, 5+ or 2+ years of relevant industry experience, respectively.

Responsibilities:

• Autonomously plan, design, and execute biochemical and cell-based experiments to support our I&I pipeline.

• Maintain a hands-on approach while being an open-minded, flexible team player.

• Analyze, interpret and integrate complex datasets across multiple assay types.

• Document data meticulously using ELN and state-of-the-art analyses.

• Stay at the forefront of latest research through literature review and critical evaluation of available data sources.

Benefits:

• Competitive Pay

• Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees)

• Stock Option Eligibility

• 401(k) Plan

• Open PTO Policy Paid Company Holidays Free lunch and snacks at our offices

Education Requirements:

• PhD in Computational Chemistry, Structural Biology, or a related field.

Experience Requirements:

• Minimum of 1-2 years of industry experience as a CADD scientist in pharma or biotech, with hands-on experience in active drug discovery programs.

Responsibilities:

• Utilize a combination of industry-standard and proprietary AI-powered CADD tools to guide small molecule drug discovery programs across a diverse target portfolio, including novel targets with limited chemical precedents.

• Use approaches like virtual screening, molecular simulation, and potency and ADMET prediction to support key decision-making in drug discovery efforts.

• Collaborate closely with medicinal chemists in molecular design and the development of project-specific computational approaches.

• Act as a cross-team connector, effectively communicating between our computational chemistry and medicinal chemistry teams to ensure seamless information flow and collaborative decision making.