AI Jobs

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Experience Requirements:

• 5+ years of experience in manufacturing

• Experience with automotive or aerospace electrical harness manufacturing

Other Requirements:

• Ability to identify root cause and lead solutions

• Ability to manage multiple components

• Experience launching manufacturing facilities

• Strong communication and organizational skills

Responsibilities:

• Establish electrical/electromechanical manufacturing best practices

• Own and manage electrical issues related to manufacturing

• Own automotive harness manufacturing supplier base

• Collaborate on manufacturing test equipment specification

• Collaborate on vehicle harness routing and assembly strategies

Benefits:

• Competitive salary and benefits package

• Opportunities for growth and professional development

• A dynamic and inclusive work environment

• Chance to work on cutting-edge projects

Experience Requirements:

• Proven experience as a UX Engineer or similar role

• Proficiency in HTML, CSS, JavaScript, and frameworks like React or Angular

• Experience with design tools such as Sketch, Figma, or Adobe XD

• Strong understanding of user-centered design principles

• Ability to create wireframes, prototypes, and high-fidelity mockups

Other Requirements:

• Experience in working with AI-driven platforms

• Knowledge of accessibility standards (WCAG) and best practices

• Familiarity with user testing tools and analytics platforms

Responsibilities:

• Design and implement intuitive, efficient, and engaging user interfaces

• Collaborate with designers, product managers, and developers

• Conduct user research, usability testing, and feedback analysis

• Ensure all UI/UX designs adhere to best practices in accessibility and responsiveness

• Develop and maintain design systems and documentation

Benefits:

• Competitive salary and benefits package

• Opportunities for growth and development

• A dynamic and inclusive work environment

• Chance to work on innovative projects

Experience Requirements:

• Experience in training small language models

• Proficiency in coding frameworks such as Springboot, Ruby on Rails, Laravel, Django, and .NET

• Strong knowledge of Java, PHP, Ruby, and Python

• Familiarity with front-end frameworks such as React, React Native, Vue, Svelte, Angular, and Flutter

• Ability to collaborate and work in a fast-paced, dynamic environment

Other Requirements:

• Experience deploying AI models in production environments

• Familiarity with cloud services and AI tools

• Strong problem-solving skills and attention to detail

Responsibilities:

• Develop and train small language models focused on various programming languages

• Collaborate with cross-functional teams to integrate AI models

• Enhance performance and accuracy of language models to optimize code deployment

• Research and implement new AI methodologies

• Monitor, evaluate, and fine-tune models to meet quality standards

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

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

Benefits:

• Competitive base + performance-based compensation

• Unlimited PTO

• Generous healthcare coverage for you and your family

• Home office and productivity setup stipend

• Professional development budget and executive coaching access

Experience Requirements:

• 3-6+ years in Business Development, Partner Development, or SaaS Partnerships

• Proven track record of pipeline creation and revenue impact

• Hands-on experience influencing and enabling external partner sales teams without direct authority

• Demonstrated ability to execute co-selling motions and collaborate effectively with internal Sales and Marketing teams

Other Requirements:

• Strong working knowledge of Salesforce or similar CRM tools

• Experience managing multiple partners simultaneously

• Known for high integrity and discretion

Responsibilities:

• Own and drive partner-sourced pipeline creation, meeting or exceeding quarterly quota targets

• Build and execute partner enablement programs, including product education, sales alignment, and ongoing engagement to increase deal velocity

• Design and run partner sales plays, identifying high-fit customer segments within partner accounts

• Collaborate closely with Marketing to plan and execute partner marketing initiatives, campaigns, and events

• Partner with internal Sales teams throughout the deal lifecycle, supporting co-selling motions

Benefits:

• Competitive base + performance-based compensation

• Unlimited PTO

• Generous healthcare coverage for you and your family

• Home office and productivity setup stipend

• Professional development budget and executive coaching access

Education Requirements:

• Bachelor of Engineering or higher, preferably in Computer Science

Experience Requirements:

• 10+ years of experience in the SDET discipline

• Knowledge of and experience using AI tools to help development and testing

• Experience using tools such as Bitbucket, Git, Jira, Browser Development Tool, Unix, CI/CD, Playwright/Selenium

• Ability to code in common computer languages: Typescript, Java, Python, Shell scripting

Other Requirements:

• Ability to champion and guide engineers on AI tools to improve development and QA processes

• Ability to work on multiple concurrent tasks

• Ability to scope testing effort for assigned projects

• Ability to write comprehensive test plans and test cases for assigned projects

• Ability to work across non-QA teams like PM, DEV, and DevOps

Responsibilities:

• Support our QA team working on Findem’s products

• Use AI tools to help our engineering teams on testing coverage, automations across locations

• Use AI tools to create testing framework to help QA handle more workloads/tasks concurrently

• Hands-on experience with White box & Black box with both automating and manual testing

Benefits:

• Competitive base compensation

• Equity grants that align your success with ours

• Unlimited PTO

• Generous healthcare coverage for you and your family

• Home office and productivity setup stipend

Education Requirements:

• BS/MS or higher in Computer Science or a closely related technical field

Experience Requirements:

• Minimum 8-10 years of progressive experience in software engineering focused on backend and infrastructure

• Proven technical leadership experience driving large-scale microservices implementations

• Extensive experience optimizing backend systems performance, scalability, and reliability

• Significant track record implementing infrastructure solutions leveraging Docker, MongoDB, TypeScript, and generative AI

• Expert-level proficiency in designing and building infrastructure with TypeScript, MongoDB, Docker, and modern cloud technologies

Other Requirements:

• Deep understanding of Agile methodologies, CI/CD pipelines, observability, and monitoring tools

• Outstanding leadership, problem-solving, and architectural decision-making capabilities

Responsibilities:

• Architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices

• Provide technical leadership and mentorship

• Optimize system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies

Benefits:

• Competitive base + performance-based compensation

• Unlimited PTO

• Generous healthcare coverage for you and your family

• Home office and productivity setup stipend

• Professional development budget and executive coaching access

Experience Requirements:

• 8-12 years of escalating levels of responsibility in a role blending data analytics and operations

• SQL/NoSQL/Python for data extraction at an expert level

• Spreadsheet-based workflows at an expert level

• Data visualizations

• Able to structure work at program level, independently managing toward a goal

Other Requirements:

• Project management across Research, Engineering, Product

• Data cleansing/debugging/RCA with messy data

Responsibilities:

• Identify and evaluate opportunities to improve data quality across the organization

• Develop creative solutions to resolve complex data issues

• Direct Research projects to uncover opportunities and drive progress on cleanup

• Prioritize Engineering efforts and track results over time to meet deadlines

• Leverage expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data

Other Requirements:

• Located in the SF Bay Area or willing to relocate

Benefits:

• Stock options

• Comprehensive health + welfare package

• Flexible time off

• Winter Break

• Latest tech and awesome swag

Education Requirements:

• BS/MS in Computer Science or related field

Experience Requirements:

• 4+ years of industry experience

• Strong background in machine learning and deep learning

• Proficient in designing and building scalable ML infrastructure

• Expertise in Python

• Experience with data engines for management of training data

Other Requirements:

• Background in computer vision is a strong plus

• Experience with LLMs, LVMs, and RAG into production is a strong plus

Responsibilities:

• Building and maintaining machine-learning infrastructure

• Develop a robust data engine for training data

• Collaborate with research scientists to integrate advancements

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Experience raising $50M–$100M+ for a high-growth startup

• Scaled a company from Series B/C to IPO readiness

• Deep expertise in performance-based compensation systems

• Hands-on ownership of FP&A, pricing, and forecasting

• Strong understanding of SaaS/AI infrastructure economics

Other Requirements:

• Ability to operate at founder altitude

• Disciplined execution

Responsibilities:

• Partner with CEO to lead growth rounds

• Own long-range financial model and capital strategy

• Build forecasting, scenario modeling, and pricing systems

• Translate system-level value into CFO-relevant outcomes

• Design company-wide performance-based compensation

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Depth in distributed systems (consensus, partitioning)

• Experience with columnar formats (Parquet or ORC)

• Understanding of metadata-driven architectures

• Production experience with Spark or Flink

• Proficiency in Java, Rust, Go, or C++

Other Requirements:

• Builder’s mindset

• Curiosity about information theory

Responsibilities:

• Architect transactional and metadata substrates

• Build autonomous data reorganization systems

• Optimize bit-level data organization

• Develop distributed compute pipelines

• Implement new research algorithms

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Mastery of distributed systems and performance at scale

• Track record of delivering large-scale data systems

• Expertise with columnar formats

• Deep production experience with Spark or Flink

• Fluency in Java, Rust, Go, or C++

Other Requirements:

• Demonstrated leadership and mentoring

• Systems intuition rooted in theory

Responsibilities:

• Define global metadata and transactional substrates

• Architect self-optimizing systems for compression

• Pioneer new approaches to encoding and layout

• Lead development of predictive compute platforms

• Collaborate with Research to translate advancements

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Foundational understanding of distributed systems

• Experience or curiosity with columnar formats

• Familiarity with metadata-driven architectures

• Exposure to Spark or Flink

• Proficiency in Java, Rust, Go, or C++

Other Requirements:

• Builder’s mindset

• Commitment to clean code

Responsibilities:

• Design and implement metadata substrates

• Build components for autonomous data reorganization

• Refine bit-level encodings and layout strategies

• Contribute to distributed compute systems

• Translate algorithms from research to production

Benefits:

• Variable compensation

• Equity

• Benefits

Experience Requirements:

• 5+ years of professional experience in roles that blend business and technology

• Experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere)

• Demonstrated ability to craft effective prompts and guide AI agents

• Consultative, customer-facing approach

• Understanding of current LLMs capabilities and limitations

Other Requirements:

• Willingness to work out of Palo Alto office Monday, Wednesday, Friday

Responsibilities:

• Partner with executive sponsors and end users to identify high‑impact use cases

• Lead strategic reviews and advise customers on their AI roadmap

• Translate business needs into clear problem statements, success metrics, and practical AI solutions

• Conduct discovery workshops, scope pilots, and guide rollouts

• Design and build AI agents with and for customers

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:

• 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

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

Experience Requirements:

• 5+ years of experience in backend development, ideally with scalable and distributed systems

• Proficiency in Node.js, Python, Java, or Go

• Strong experience with databases (SQL/NoSQL), caching mechanisms, and RESTful APIs

Other Requirements:

• Familiarity with cloud platforms (AWS, Google Cloud, or Azure)

• Experience with containerization tools (e.g., Docker, Kubernetes)

Responsibilities:

• Design, develop, and maintain server-side features for the localization platform

• Implement and optimize APIs for frontend and third-party integration

• Collaborate with AI/ML teams for machine learning model integration

• Ensure scalability and performance of infrastructure for real-time video streams

• Optimize and refactor existing code for efficiency and security