AI Jobs

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, AI (in progress acceptable)

Experience Requirements:

• Track record of publishing in top-tier AI/ML conferences

• Experience with training data quality construction

• Passion and experience for LLM evaluation

Other Requirements:

• Proficiency in Python

• Experience with PyTorch, JAX, or TensorFlow

• Deep understanding of frontier multimodal models

Responsibilities:

• Build evaluation and benchmark suites for LLMs

• Create post-training datasets at scale

• Prototype RLHF/DPO-style training loops

• Ship research improvements into product workflows

• Engage with customer research teams

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Master’s degree or higher in Computer Science, Engineering, Math, or AI

Experience Requirements:

• Prior experience leading LLM projects

• Experience working with data quality or dataset diversity

Other Requirements:

• Proficiency in Python and data analysis

• Exceptional communication skills

• Strong project management skills

Responsibilities:

• Work with AI labs to define data strategies

• Build scalable human data pipelines

• Develop and optimize Python scripts for data processing

• Define engineering requirements for human data tools

• Manage elite network of AI experts

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Master’s degree or higher in Computer Science, Engineering, Math, or AI

Experience Requirements:

• Strong experience with Python and backend APIs

• Experience with production-grade data pipelines

• Experience with robotics datasets (video, LiDAR, pose)

• Experience with evaluation or reliability systems

• Prior experience leading LLM projects

Other Requirements:

• Experience with cloud environments (GCP/AWS)

• Hands-on experience with robotics perception stacks

Responsibilities:

• Build ingestion pipelines for robotics video and sensor logs

• Architect scalable labeling workflows with version control

• Implement automated QA flows using LLM-based validation

• Create dynamic trust scoring systems

• Monitor throughput and accuracy for robotics projects

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field

Experience Requirements:

• 2+ years of experience in a software or machine learning engineering role

• Experience using frontend frameworks (React/Redux)

• Experience with backend systems (Python, Java, GraphQL)

• Knowledge of scalable database systems (PostgreSQL, NoSQL)

Other Requirements:

• Proficiency in leveraging AI tools for development (Cursor, Copilot)

• Excellent communication and collaboration skills

Responsibilities:

• Design and ship complete end-to-end product features

• Build human-in-the-loop systems for AI training

• Implement tooling for RLHF and preference data workflows

• Leverage LLMs to assist in the review loop

• Design evaluation frameworks for multimodal models

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Experience Requirements:

• 7+ years managing enterprise sales cycles

• Experience closing $5M–$20M+ annual agreements

• Demonstrated success engaging C-suite executives

• Experience selling AI, ML, or human-data services

Other Requirements:

• Expert in multi-threaded sales

• Consultative and strategic approach

• Excellent written and verbal communicator

Responsibilities:

• Cultivate $20M+ enterprise opportunities across AI labs

• Map and engage decision-makers across research and engineering

• Lead end-to-end deal execution for human-data solutions

• Expand wallet share within strategic enterprise accounts

• Build executive-level narratives and thought leadership

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Bachelor’s degree or higher in STEM fields (CS, Engineering)

Experience Requirements:

• At least 5 years of Program Management experience

• Experience managing data projects for AI

• Working proficiency in SQL and Python

Other Requirements:

• Strong understanding of LLMs and prompt engineering

• Familiarity with BI tools like Looker

• Familiarity with project tools like JIRA or Notion

Responsibilities:

• Lead cross-functional AI data annotation projects

• Partner with AI Labs to define success metrics

• Translate strategy into execution action plans

• Proactively identify and resolve project dependencies

• Communicate risk mitigation to leadership

Education Requirements:

• Degree in a STEM field or equivalent hands-on experience

Experience Requirements:

• 3+ years as a software engineer or technical consultant with strong coding proficiency

Other Requirements:

• Proficiency in Python, JavaScript/TypeScript, or similar

• Strong customer-service orientation

• Excellent verbal and written communication skills

Responsibilities:

• Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)

• Guide customers through installing, configuring, and optimizing Devin and associated tools

• Pair-program with engineers at varying experience levels to build, debug, and automate real projects

• Identify high-ROI workflows for Devin across engineering, QA, support, data, and product teams

• Create enablement materials, best practices, and shared playbooks based on customer learnings

Experience Requirements:

• Track record of pursuing excellence at high levels, in any domain

• Experience scoping and shipping features in collaboration with product and engineering teams

Other Requirements:

• Strong engineering foundation

• Proficiency in Python, TypeScript, or similar

• Comfort operating across many contexts simultaneously

• Experience with enterprise infrastructure (cloud deployments, networking, security)

Responsibilities:

• Operate across strategic accounts, providing technical depth on complex engagements

• Own the technical direction and success of customer accounts and deployments

• Translate customer pain points into product direction: scope requirements, define solutions, and drive implementation

• Build product extensions and integrations using Cognition’s APIs and platform primitives

• Architect and maintain complex enterprise deployments

Experience Requirements:

• Strong engineering foundation from a rigorous technical environment

• Demonstrated track record of exceptional performance

• Experience writing and debugging real software systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills

• High tolerance for ambiguity, intensity, and sustained effort

Responsibilities:

• Own all technical aspects of the customer lifecycle—from deployment through activation

• Work closely with customers to understand technical challenges and identify best use cases for Devin

• Build deep relationships with customers’ engineering teams to ensure smooth product integration

• Listen to customer feedback and implement requested features yourself

• Exercise product instincts to help set the roadmap

Education Requirements:

• Degree in STEM field

Experience Requirements:

• Experience working with or alongside large engineering teams

• Experience writing, debugging, and deploying real production systems

Other Requirements:

• Willingness to travel 25–50%

• Advanced in at least one modern programming language (e.g., Python, TypeScript)

• Strong communication skills

Responsibilities:

• Own the technical success of GSI partners across onboarding, enablement, and scaled delivery

• Enable partners to build repeatable solutions and reference architectures

• Lead technical trainings and workshops for partner teams

• Support partner-led customer pilots and early production deployments

• Capture field learnings and partner feedback to influence product roadmap

Benefits:

• Exposure to wide range of business problems

• Direct input on company operations

• Learning about agentic AI and LLMs

• Owner equity participation

• High engineering to operations learning ratio

Experience Requirements:

• 2 years of work experience required

• Prior experience in operations, consulting, banking, PE, or sales

Other Requirements:

• Willing to work 5 days a week in-person minimum

• Comfortable with long hours (60+) and steep learning curves

• Self-starter who can own projects end-to-end

• Familiarity with Notion, Excalidraw, and Zapier is a plus

• Prior SQL or coding experience is a plus

Responsibilities:

• Owning projects across go-to-market and internal operations

• Managing customer success and product projects

• Interfacing with customers or partners

• Onboarding onto sales outreach

• Managing customer KPIs and operational dashboards

Benefits:

• Minimum 1% equity grant

• High-impact decision making autonomy

• Immersion in agentic AI development

• Seat in a startup with multi-billion dollar TAM

Education Requirements:

• Undergrad degree in CS

Experience Requirements:

• 1 year of work experience required (no new grads)

• Previous experience calling LLM APIs or building agentic apps

Other Requirements:

• Able to work 5 days a week in San Francisco

• Solid CS fundamentals

• Proficiency in Python (Flask), React, and SQL (Postgres)

• Interest in joining as one of the first employees

• Ability to code without excessive AI assistance

Responsibilities:

• Shipping across the entire stack (backend, frontend, database)

• Developing AI and agentic features

• Managing infrastructure and tooling

• Implementing LLM-prompting systems

• Communicating with non-technical userbase

Benefits:

• Minimum 1% equity grant

• Work on Agentic AI instead of SaaS 1.0

• High-speed technical environment

• Redefining the future of work

Experience Requirements:

• 2-5 years work experience in a production capacity

• Experience with infrastructure ready to scale

• Production experience in Python, React, and SQL

Other Requirements:

• Willing to work 5 days a week in-person

• Comfortable with 60+ hour weeks

• Interest in joining as a founding engineer

• Strong Python skills (Flask, FastAPI, or Django)

Responsibilities:

• Laying backend, infrastructure, and integrations for scaling

• Solving SaaS integration problems

• Building AI agent infrastructure

• Managing user-facing requests

• Working across the full stack including frontend

Benefits:

• Learning and development allowance

• Competitive compensation

• 100% medical, dental, and vision coverage

• Up to $25K reimbursement for fertility, adoption, and parental planning

• Flexible PTO policy

Experience Requirements:

• 2+ years of full stack software development experience

Other Requirements:

• Proficiency in Ruby and Javascript

• Proficiency with test frameworks and automation

• Passionate about XP practices, Domain Driven Design, and Continuous Delivery

• Experience developing RESTful APIs

Responsibilities:

• Own product development of features from design to release

• Partner with product, design and other stakeholders

• Collaborate with other engineers in architecting

• Deliver performant, reliable, scalable, and secure code

• Monitor, investigate, triage, and resolve production issues

Benefits:

• Learning and development allowance

• Competitive compensation

• 100% medical, dental, and vision coverage

• Up to $25K reimbursement for fertility, adoption, and parental planning

• Flexible PTO policy

Experience Requirements:

• 2-3 years of B2B SaaS or consumption based tech sales experience

Other Requirements:

• Willingness and ability to open new conversations at target accounts

• Experience closing new business accounts with large global customers

• Experience selling to EVPs and CXOs

• Proven success in selling innovative and disruptive technology

• Demonstrated ability to generate and execute against a plan

Responsibilities:

• Drive new business sales within assigned segment

• Be a consultative trusted advisor for the customer

• Collaborate with Human Resource leadership and Program Managers

• Drive sales at new accounts and hunt for new logos

• Collaborate with internal stakeholders to complete client goals

Benefits:

• Offers Equity

Experience Requirements:

• 4+ years of backend engineering (Python is a must)

• Strong background in distributed systems, job orchestration, and task queues

• Deep knowledge of concurrency, parallelism, and multithreading

Other Requirements:

• Hands-on experience with Temporal, Redis, Airflow, Celery, RabbitMQ

• Comfortable with containers & orchestration: Docker, Kubernetes

• Familiarity with cloud platforms (AWS/GCP) and IaC (Terraform)

Responsibilities:

• Design and implement scalable backend architectures for AI workloads

• Own distributed job orchestration with Temporal and related systems

• Improve data pipeline performance by designing smarter caching strategies

• Build observability, monitoring, retries, and fault tolerance

• Manage infrastructure reliability, incident response, and performance

Benefits:

• Offers Equity

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields

• PhD in a relevant field (Preferred)

Experience Requirements:

• Proven experience in machine learning and AI, with a focus on generative models

• Knowledge of retrieval-augmented generation pipelines

• Strong proficiency in Python and frameworks like TensorFlow or PyTorch

Other Requirements:

• Experience with embedding techniques

• Excellent problem-solving skills

• Strong communication and collaboration skills

Responsibilities:

• Enhance retrieval-augmented generation (RAG) capabilities

• Work on embedding generation techniques

• Stay abreast of latest developments in AI models

• Collaborate with backend and frontend teams

• Listen to user needs and dive into customer support

Experience Requirements:

• 5+ years of experience in Product Design, Brand Design, or a blend

• Mastery of Figma

• Experience owning end-to-end design for both product and marketing

Other Requirements:

• Exceptional visual craft

• Obsession with consistency, detail, and building scalable design systems

• Strong communication skills

Responsibilities:

• Own end-to-end design for new features and improvements

• Translate complex AI/LLM concepts into intuitive interfaces

• Lead the evolution of StackAI’s visual identity and narrative

• Redesign and maintain website for conversion and SEO

• Bring design leadership to roadmap discussions

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in DevOps, Cloud, or Infrastructure engineering

• Strong expertise with Kubernetes, Terraform, Docker, and IaC

• Hands-on experience with AWS, Azure, and/or GCP

Other Requirements:

• Solid background in CI/CD pipelines

• Comfort with scripting/programming (Python, Bash)

• Experience with monitoring & observability tools

Responsibilities:

• Design, implement, and maintain cloud infrastructure

• Manage and optimize containerized applications in Kubernetes

• Drive Infrastructure as Code to standardize environments

• Architect and maintain CI/CD pipelines

• Implement monitoring, logging, and alerting

Benefits:

• Offers Equity

Experience Requirements:

• Strong proficiency in Python (FastAPI or similar)

• Expertise in React, Next.js, TypeScript, CSS

• Solid understanding of database design and optimization

Other Requirements:

• Hands-on experience with AWS

• Familiarity with Docker, Kubernetes

• Experience with RAG pipelines (Preferred)

Responsibilities:

• Build and own platform end-to-end

• Develop robust, scalable backend systems

• Design and maintain high-quality user interfaces

• Integrate new AI models and features

• Collaborate with design, product, and customers