AI Jobs

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Experience Requirements:

• Proficiency in React and Go (Golang)

• Strong understanding of software engineering principles

• Experience in a SaaS technology company

• Ability to drive development from end to end

Other Requirements:

• Ability to operate in high uncertainty

• Experience with Python is a plus

Responsibilities:

• Write code in React and either Python or Go

• Develop and scale platform (frontend, CLI, API, billing)

• Set technical direction for large projects

• Reduce technical debt and drive continuous delivery

• Mentor engineers on problem-solving

Benefits:

• Competitive base + uncapped commission

• Meaningful equity

• Remote-first culture + flexible work

• Unlimited PTO

• Health benefits

Experience Requirements:

• 6+ years of experience

• 3+ in enterprise SaaS or security sales

• Proven ability to land and expand large accounts

• Strong consultative sales skills (MEDDPICC or similar)

• Ability to navigate procurement and negotiate enterprise contracts

Other Requirements:

• Must live in the Bay Area of San Francisco

• Authorized to work in the territory

• No visa sponsorship

Responsibilities:

• Drive new business with enterprise accounts

• Run full-cycle sales: prospect, qualify, guide, close

• Lead consultative conversations with senior buyers

• Close six-figure deals while maintaining integrity

• Partner with resellers, Finance, Marketing, and Product

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years of experience in Data Engineering or Backend Engineering

• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL

• Proficiency with at least one modern cloud provider (GCP, AWS, Azure)

• Experience building systems for structured and unstructured data types

• Knowledge of Terraform, Kubernetes, and containerization

Other Requirements:

• Familiarity with deploying ML models at scale a bonus

Responsibilities:

• Build and maintain scalable data services, pipelines and storage solutions

• Build and manage OLAP databases, ELTs and general data tooling

• Optimize data infrastructure for throughput, latency and reliability

• Investigate and correct issues identified through data operations monitors

• Design data integrations and data quality framework

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 3 - 6+ years as a manager in rapidly growing organizations

• At least 1 year as a manager of managers

• Track record of leading performance engineering (load test and chaos engineering)

• Experience running production workloads in more than one cloud provider

• Experience managing workloads across containerized solutions and Kubernetes

Responsibilities:

• Scope, resource, and execute a company-wide reliability and engineering velocity roadmap

• Work at the level of small tiger teams to unblock and drive execution

• Recruit top ICs and managers to scale the team

• Mentor senior engineering staff and develop their careers

• Establish and maintain a hivemind, de-siloed culture across pods

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience

• 3+ years of infrastructure-as-code experience

• Experience building on and scaling Kubernetes

• Experience creating and maintaining CI/CD pipelines (Terragrunt, Atlas, ArgoCD)

• Experience with monitoring and observability tooling (Grafana, Datadog)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Design, build, and scale cloud infrastructure (networking, IAM, K8s)

• Design and implement build pipelines and release management tooling

• Design, implement, and scale cloud security practices

• Improve observability, runbooks, and incident response muscle

• Bridge the gap between local development and production environments

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience focused on distributed systems

• At least 2 years experience as a back-end engineer focused on performance

• Experience reducing latency through observability and profiling tools

• Experience building on and scaling Kubernetes

• Experience building software with backend languages (Python, GoLang, Node, Rust)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Identify and resolve performance and latency bottlenecks via load testing

• Drive software changes to rehome applications onto scalable infrastructure

• Identify and implement performance tuning parameters

• Build developer tools and software modules to help engineers build faster

• Work with application teams to establish and adopt SLOs and error budgets

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years as a software engineer

• 2+ years managing software engineering teams

• Experience in AI Infrastructure domain (LLM workflows, retrieval)

• Skilled in building secure systems in major cloud platforms (GCP preferred)

• Familiar with containers, databases, and modern frontend frameworks

Responsibilities:

• Recruit and mentor engineers with backgrounds in LLM-driven workflows

• Provide regular feedback and create career growth opportunities

• Work with ML/AI Research, Inference, and Data teams to support projects

• Guide architectural discussions and advocate for technology projects

• Set high standards for software quality and regulatory compliance

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 10+ years of experience building high-performance distributed systems

• 5+ years of management experience

• 3+ years managing AI/ML-focused engineering teams

• Expertise with Kubernetes, containers, and model training/serving

• Knowledge of GPU-based capacity planning and LLM applications

Other Requirements:

• Bonus: Has owned an Evaluation Platform for AI/ML models

• Bonus: Has owned data engineering or core infrastructure

Responsibilities:

• Recruit, retain, and mentor engineers and engineering managers

• Own the staffing and execution of model serving and training compute

• Guide architectural discussions and set strategic AI/ML infra direction

• Own the design, build, and operation of MLOps pipelines

• Manage compute and vendor allocations (e.g. GPU allocation)

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• Experience building and deploying ML models in production

• Deep understanding of container orchestration and distributed systems

• Expertise in Kubernetes administration (CRDs, operators)

• Experience developing APIs and managing batch/real-time workloads

• Excellent communication skills for research/product engineering interface

Other Requirements:

• Bonus: Expertise with NVIDIA Triton Server, VLLM, TRT-LLM

• Bonus: Familiarity with GPU cluster management and CUDA optimization

Responsibilities:

• Design and maintain scalable Kubernetes clusters for inference/training

• Develop and optimize ML model serving and training infrastructure

• Collaborate with ML teams to scale backend infrastructure

• Optimize compute-heavy workflows and enhance GPU utilization

• Build a robust model API orchestration system

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• Experience building agent applications with tool-calling

• Fluency with LLM APIs and prompting strategies (LangChain, LlamaIndex)

• Experience with retrieval systems (semantic retrieval, vector DBs)

• Strong coding skills in Python, Java, or Go

• Working knowledge of containers and Kubernetes concepts

Other Requirements:

• Bonus: Prior work on task routing, planning, memory graphs, or vector search

Responsibilities:

• Design and build GenAI systems using retrieval and agentic reasoning

• Implement a highly reliable and scalable agent runtime

• Build secure, sandboxed execution for agent actions and code

• Ship unified interfaces for multiple model sizes and providers

• Develop an evaluation platform for assessment and safety checks

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 7 to 10+ years of product management experience

• Experience managing PMs and leading high performance teams

• Understanding of model quality measurement and benchmark design

• Technical fluency across ML, data pipelines, and distributed systems

• Experience working with ML researchers and engineers

Other Requirements:

• Bonus: Experience building evaluation platforms or ML observability

Responsibilities:

• Lead AI product strategy for Note Generation models

• Oversee the evaluation platform and measurement systems

• Drive depth across specialties and clinical contexts roadmap

• Manage a team of product managers spanning models and workflows

• Partner with Engineering and ML leadership on architecture

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 4–6+ years of product management experience

• Direct experience working with EHR systems (Epic, Athenahealth, Cerner)

• Experience managing external partners in complex environments

• Experience partnering with engineering on API-driven products

• Understanding of healthcare workflows and standards (HL7, FHIR)

Responsibilities:

• Own the product strategy for EHR platform and integrations

• Ensure integrations meet compliance and security requirements

• Manage day-to-day relationships with EHR vendors

• Coordinate certification efforts and roadmap alignment with partners

• Work with Sales and Customer Success to support deals

Benefits:

• Be part of a diverse, international team

• Opportunity to shape the social media presence of a growing brand

• Work in an environment that values creativity, innovation, and collaboration

Experience Requirements:

• Proven experience as a Social Media Manager or similar role

• Excellent knowledge of Instagram, Facebook, Twitter, LinkedIn

• Strong understanding of social media KPIs, web traffic metrics, and SEO

• Creative mindset with excellent communication and copywriting skills

• Ability to work in a fast-paced, international environment

Responsibilities:

• Develop and implement a comprehensive social media strategy

• Manage and oversee social media content

• Monitor, analyze, and report on the performance of social media campaigns

• Engage with our audience, responding to comments and messages

• Stay ahead of the curve with social media trends, tools, and best practices

Benefits:

• Flexible work schedule

• Learn about early stage startups

• Mentorship from Berkeley/Stanford AI grads

Experience Requirements:

• 3+ years of experience

Other Requirements:

• Machine Learning expertise

• Deep Learning expertise

• Natural Language Processing (NLP) expertise

• Strong engineering background

• End-to-end ownership of projects

Responsibilities:

• Have critical impact on Sapling growing its set of enterprise customers

• Build components of the data, pre-processing, training, evaluation, and guardrail pipeline for Transformer models

• Work closely with the founders

Benefits:

• Flexible work schedule

• Learn about early stage startups

• Mentorship from Berkeley/Stanford AI grads

Experience Requirements:

• 1+ years of experience

Other Requirements:

• JavaScript

• Python

• Amazon Web Services (AWS)

• C++ backend experience

• Frontend interface development

Responsibilities:

• Have critical impact on Sapling growing its set of enterprise customers

• Build integrations and infrastructure for a language model-powered system

• Work closely with the founders