Benefits:

• Offers Equity

Experience Requirements:

• 2-5 years experience in product marketing or growth marketing

• Experience in high-growth SaaS companies

• Experience working on AI, developer tools, or HR tech (Nice to have)

Other Requirements:

• Strong writing and persuasive skills

• Ability to manage multiple projects and ship fast

• Design instincts or experience with creators

Responsibilities:

• Craft messaging for product features and updates

• Design and execute GTM strategies for launches

• Build internal enablement materials like pitch decks

• Interview customers and conduct competitive research

• Collaborate with engineering and product to influence roadmap

Benefits:

• Offers Equity

Experience Requirements:

• 3-6 years of B2B SaaS marketing experience

• Experience owning paid acquisition channels or SEO programs

• Experience in fast-paced startup environments

• Experience with AI, dev tools, or HR tech (Nice to have)

Other Requirements:

• Data-driven mindset with knowledge of CAC and funnel metrics

• Strong writer with a concise tone

• Comfortable with email automation tools

Responsibilities:

• Own and optimize paid campaigns across Google, LinkedIn, etc.

• Define and execute SEO strategy to grow demo signups

• Manage content pipeline including landing pages and blog posts

• Set up and manage email campaigns for adoption and upsell

• Own lifecycle marketing flows

Benefits:

• Medical

• Dental

• Vision

• Lunch stipend

• Offers Equity

Experience Requirements:

• Deep understanding of recruiting processes and challenges

• Experience as a recruiter or sourcer (Nice to have)

• Familiarity with Product-Led-Growth (Nice to have)

Other Requirements:

• Highly organized and able to manage many customer threads

• Product-oriented mindset

• Located in or willing to relocate to SF

Responsibilities:

• Onboard new customers and ensure success

• Build out renewal processes

• Create guides on best practices and knowledge base updates

• Collaborate with Sales to expand customer accounts

• Provide product feedback to Engineering and Product teams

Benefits:

• Medical

• Dental

• Vision

• Lunch stipend

• Offers Equity

Experience Requirements:

• 2-5+ years experience in Customer Success, Account Management, or Sales

• Worked in fast-paced environments wearing multiple hats

• Experience with AI tools or recruiting tech (Nice to have)

Other Requirements:

• Analytical mindset focused on usage metrics and outcomes

• Strong communication skills for execs and sourcers

• Based in or relocating to SF (5 days in-office)

Responsibilities:

• Own adoption, expansion, and retention of the Agent product

• Deliver live customer onboarding and training

• Identify upsell opportunities with Sales

• Help customers integrate Agents into sourcing workflows

• Surface product feedback and usage gaps to internal teams

Benefits:

• Offers Equity

Experience Requirements:

• 2+ years of Product Management experience (4-5+ preferred)

• Experience in early-stage or high growth startup environments

Other Requirements:

• Strong prioritization and judgment skills

• Ability to operate in ambiguity

• Ownership of outcomes end-to-end

Responsibilities:

• Translate business needs into clear product requirements

• Lead projects end-to-end with engineering and design

• Talk directly with customers to understand pain points

• Triage and prioritize bugs vs features

• Establish product workflows and processes

Benefits:

• Medical

• Dental

• Vision

• Lunch stipend

• Offers Equity

Experience Requirements:

• 2+ years experience in SaaS sales

• Experience closing ACVs of $10K - $50K

• Track record of exceeding quota

Other Requirements:

• Located in or willing to relocate to SF

• Familiarity with Product-Led-Growth

Responsibilities:

• Manage inbound pipeline from free trials and demo forms

• Target in-house TA teams and recruiting agencies

• Upsell existing customer accounts

• Compete against legacy recruiting tech products

• Close deals with 2-3 week cycles

Benefits:

• Medical

• Dental

• Vision

• Lunch stipend

• Offers Equity

Experience Requirements:

• 5+ years of SaaS closing experience in B2B software

• Experience closing $50K–$300K+ ACVs

• Track record of quota-crushing performance

Other Requirements:

• Located in San Francisco (in-office 5 days a week required)

• Comfortable in a founder-led GTM environment

Responsibilities:

• Own mid-market and enterprise deals from inbound pipeline

• Collaborate with Product and Marketing to refine pitch/pricing

• Sell to Heads of TA and VP People

• Unblock deals with direct access to founders

• Scale Juicebox amongst the largest customers

Experience Requirements:

• Extensive practical experience in manufacturing custom harnesses for automotive or similar applications.

• Demonstrated expertise in sealed and un-sealed connectors, including but not limited to TE, Amphenol, Molex, Yazaki, Aptiv, Delphi, etc…

• Hands-on proficiency in wire stripping, crimping, splicing, and harness dressing to a class 2 of IPC/WHMA-620 standard.

• Practical experience with wiring tailored to various communication protocols such as CAN, Serial, LIN, RF, and Ethernet.

• Ability to interpret electrical schematics generated from CAD tools like Altium, Cadence, Kicad, or similar software.

Other Requirements:

• Skilled in using hand and power tools, as well as workshop equipment like drill presses, band saws, etc.

• Proven experience with task tracking tools such as JIRA, Asana, Monday, or similar platforms.

• Comfortable working with Linux OS and using Linux command lines.

• Must be fluent in English, both spoken and written.

• Willingness to travel domestically and internationally up to 10%.

Responsibilities:

• Manufacturing, validating, and integrating 1st harness articles on next-gen vehicles.

• Interacting daily with engineers.

• Designing complex harnesses that meet automotive-quality standards.

Experience Requirements:

• Strong software engineering skills in C, C++, or Python (production-quality code)

• Deep understanding of modern robotics control systems

• Experience with learning-based control or policy optimization for real-world systems

• Comfort working close to hardware and real-time constraints

Responsibilities:

• Design and implement learning-based control approaches (imitation learning, reinforcement learning, hybrid MPC + learning)

• Reduce dependence on hand-tuned control parameters through data-driven methods

• Integrate learned controllers into the existing vehicle control stack safely and incrementally

• Define interfaces between classical control (MPC, PID, state estimation) and learning-based components

• Establish validation criteria for learned control policies before real-vehicle deployment

Experience Requirements:

• 4+ years of professional full-stack development (Python + React/TypeScript)

• Strong backend fundamentals: REST API design, authentication, database modeling

• Production AWS experience (Lambda, EC2, S3, DynamoDB, or comparable services)

• DevOps experience: CI/CD pipelines, deployment automation, and production operations

• Demonstrated ability to own and ship products end-to-end with minimal oversight

Other Requirements:

• Comfortable working in office in Palo Alto, CA

Responsibilities:

• Own the architecture and development of customer-facing dashboards and internal tools

• Consolidate and harden a landscape of full-stack applications into maintainable, well-tested production services

• Define and enforce engineering standards: API design, code quality, testing, CI/CD, and deployment practices

• Build and maintain backend services in Python and Node.js on AWS

• Develop responsive frontend experiences in React with TypeScript

Experience Requirements:

• 2+ years in MLOps / Infra / ML Platform

• Deep experience with PyTorch, CUDA-aware workflows

• Strong Linux + systems fundamentals

• Proven experience deploying models at scale (not just notebooks)

Responsibilities:

• Design and operate end-to-end ML infrastructure: training, evaluation, deployment, monitoring

• Build CI/CD for ML (model versioning, promotion, rollback, canarying)

• Own model observability: drift detection, performance regression, data health

• Optimize GPU utilization across training and inference (on-prem + cloud)

• Support edge deployment (Jetson / Orin / x86 + GPU)

Benefits:

• Up to $500 annually for personal development

• Up to $2000 annually for professional development

• Full healthcare coverage and benefits

• 4 weeks of vacation

• Flexible hours

Benefits:

• Up to $500 annually for personal development

• Up to $2000 annually for professional development

• Full healthcare coverage and benefits

• 4 weeks of vacation

• Flexible hours

Experience Requirements:

• 2+ years of experience in malware analysis

• 4+ years of experience in security research, including SaaS, web, API or related domains

• Strong coding and analytical skills in scripting and programming languages such as Python, JavaScript, and Bash

• Proficiency with SQL-like queries

• Familiarity with AI-powered tools such as Cursor, Windsurf, Claude Code, OpenAI Codex

Responsibilities:

• Research security risks in AI agents, MCP servers, and LLM-based systems

• Design sophisticated detection strategies

• Conduct research on AI-augmented products, coding platforms, AI-IDEs, web, and API security

• Design and execute structured research methodologies to identify, reproduce, and validate vulnerabilities

• Collaborate with engineering and product teams to deliver actionable insights and translate research into detections

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 5+ years backend engineering (Python & TypeScript-first)

• Production experience in serverless

• Hands-on with generative AI (Claude/OpenAI or equivalent) in production

Other Requirements:

• Deep knowledge of AWS serverless (Lambda, DynamoDB, API Gateway)

• Strong AWS CDK or CloudFormation skills

• Proficiency with AI coding tools

• Ability to design multi-tenant, scalable systems

Responsibilities:

• Architect serverless microservices powering core APIs

• Develop advanced LLM features and context orchestration

• Design and optimize RAG pipelines using AWS Bedrock

• Define AWS CDK (TypeScript) IaC for all backend resources

• Maintain SOC 2 Type II and Google CASA compliance posture

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Build Quantum-Native AI to simulate complex systems

• Tackle the intractability of complex chaos

• Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction

• Develop Quantum-ML Hybrids and High-Performance Research Engineering

• Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Build Quantum-Native AI to simulate complex systems

• Tackle the intractability of complex chaos

• Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction

• Develop Quantum-ML Hybrids and High-Performance Research Engineering

• Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Build Quantum-Native AI to simulate complex systems

• Tackle the intractability of complex chaos

• Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction

• Develop Quantum-ML Hybrids and High-Performance Research Engineering

• Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Build Quantum-Native AI to simulate complex systems

• Tackle the intractability of complex chaos

• Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction

• Develop Quantum-ML Hybrids and High-Performance Research Engineering

• Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Advance the next generation of neural network architectures

• Develop Large Language Models (LLMs) and AI agents

• Directly impact enterprise AI applications and real-world solutions

• Drive immediate value with classical AI approaches