AI Jobs

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Experience Requirements:

• 7–9+ years in enterprise SaaS sales

• Experience selling identity verification, fraud prevention, or related risk management solutions

• Demonstrated success in big tech, AI, & high-growth startups verticals

• Ability to drive value-based conversations for C-level stakeholders

• Background selling fraud, identity, big data, or security solutions

Other Requirements:

• Must be located in the San Francisco Bay Area

• Comfortable navigating ambiguity and building scalable processes

Responsibilities:

• Lead growth across both greenfield opportunities and existing accounts

• Manage full-cycle sales from prospecting to close

• Build and maintain a robust pipeline through outbound efforts

• Align complex technical solutions with customer needs in fraud and digital identity

• Work closely with product, engineering, and marketing teams

Experience Requirements:

• 2+ years of software engineering experience

• Experience building user-facing web applications

Other Requirements:

• Empathy for non-technical users and commitment to great UX

• Experience building AI applications with LLMs

• Experience with AI-native development workflows (Cursor, Claude Code, etc.)

• Familiarity with JavaScript / TypeScript, React, Next.js, and databases

• Backend expertise with a focus on developing data-intensive applications at scale

• High agency

• Love of the game

• Agile and nimble

• Truth-seeking

• Confident but humble

• Sense of humor

Responsibilities:

• Build a cutting-edge agent platform that makes it easy for anyone to build with AI

• Architect scalable infrastructure to serve millions of personalized experiences across thousands of customer websites in real-time

• Develop a platform for intelligent insights and self-improving systems that help users understand engagement and automatically improve experiences

Education Requirements:

• Bachelor’s degree in CS/EE or equivalent

Experience Requirements:

• 10+ years of commercial experience building mobile applications for iOS

• 10+ years of general commercial software engineering experience

• High level of skill in Swift programming

• Deep knowledge of the iOS SDK and device capabilities

• High level of skill in git and GitHub

Other Requirements:

• Understanding of unique challenges of mobile development (connectivity, fragmentation)

• Experience with SwiftUI, Combine and Swift concurrency

Responsibilities:

• Design and build impactful technical solutions through the entire lifecycle

• Write high quality, maintainable code

• Collaborate with engineers, designers, and product managers

• Communicate ideas to build consensus

• Support and challenge peers to improve engineering practices

Experience Requirements:

• Experience engaging with senior stakeholders (VP or C-level) to resolve challenges or drive alignment

Responsibilities:

• Engage with senior stakeholders to resolve challenges

• Drive alignment with senior stakeholders

Education Requirements:

• Bachelor’s degree in Business, Marketing, Computer Science, or a related field.

• An MBA or equivalent experience is a plus.

Experience Requirements:

• 3-5 years of experience in product management, preferably in the tech or software industry.

• Strong understanding of product development processes, including agile methodologies.

• Ability to work with cross-functional teams and influence without direct authority.

• Excellent communication, leadership, and problem-solving skills.

• Analytical mindset with the ability to interpret data and make informed decisions.

Other Requirements:

• Strong organizational and project management skills

• Knowledge of user experience (UX) design principles

Responsibilities:

• Define and communicate the product strategy and roadmap

• Conduct market research and competitor analysis to identify opportunities

• Collaborate with engineering, design, and marketing teams to deliver products

• Prioritize product features, enhancements, and bug fixes

• Manage the product development lifecycle

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field.

Experience Requirements:

• At least 4 years of relevant work experience.

• Experience building products across the stack

• Solid background in algorithms, data structures, and object-oriented programming

• Experience in back-end development using languages like Python and Go

• Knowledge of database technologies like PostgreSQL, Elastic, Redis.

Other Requirements:

• Strong problem-solving skills

• Attention to detail

• Ability to work independently and as part of a team

• Experience working with global teams

Responsibilities:

• Develop and maintain enterprise software applications

• Write clean, efficient, and maintainable code

• Build scalable and reliable back-end systems

• Develop and maintain APIs using REST or GraphQL

• Integrate multiple enterprise applications and services

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Degree in Computer Science, Engineering, Math, or equivalent experience.

Experience Requirements:

• 4+ years in consulting, engagement management, product, or as a founder—trusted by senior stakeholders.

• Ability to go beyond surface-level requests and solve the real business problem.

• Comfortable diving into architectural trade-offs, APIs, and agentic design with engineers.

• Natural ability to see the whole picture, anticipate downstream effects, and design resilient solutions.

• Experience in user research and workflow mapping, with a data-driven mindset.

Other Requirements:

• Entrepreneurial mindset

• Self-starter who thrives in ambiguity

Responsibilities:

• Understand Human Workflows: Partner with enterprise customers to map processes

• Design AI Employees: Translate workflows into agentic multi-agent systems

• Bridge Business and Technology: Turn client requirements into scalable capabilities

• Drive Strategic Roadmaps: Own the lifecycle of AI employees

• Champion Adoption & Value: Ensure customers achieve measurable ROI

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.

Experience Requirements:

• At least 2 years of industry experience in building and deploying production-level machine learning models

• Deep understanding and practical experience with NLP techniques and frameworks

• Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems

• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch

• Excellent skills in data processing (SQL, ETL, data warehousing)

Other Requirements:

• Excellent problem-solving skills

• Attention to detail

• Strong capacity for logical thinking

• Ability to work collaboratively in a fast-paced environment

Responsibilities:

• Conceptualize, develop, and deploy machine learning models

• Implement advanced machine learning algorithms

• Process and analyze large, complex datasets

• Work across the complete lifecycle of ML model development

• Implement A/B testing and other statistical methods

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.

Experience Requirements:

• Proven industry experience in building and deploying production-level machine learning models.

• Deep understanding and practical experience with NLP techniques and frameworks.

• Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems.

• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

• Excellent skills in data processing (SQL, ETL, data warehousing).

Other Requirements:

• Excellent problem-solving skills

• Attention to detail

• Strong capacity for logical thinking

• Ability to work collaboratively in a fast-paced environment

Responsibilities:

• Conceptualize, develop, and deploy machine learning models

• Implement advanced machine learning algorithms

• Lead the processing and analysis of large, complex datasets

• Work across the complete lifecycle of ML model development

• Implement A/B testing and other statistical methods

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's or Master's degree in Computer Science or related field.

Experience Requirements:

• 3+ years of experience in Infrastructure engineering, or a similar role

• Experience with public cloud networks like AWS, Azure and GCP

• Experience with Kubernetes, Helm, Terraform, and Istio

• Knowledge of automation tools like Ansible

• Experience with CI/CD pipelines

Other Requirements:

• Excellent problem-solving skills

• Ability to work under pressure in a fast-paced environment

• Ability to work independently and as part of a team

• Experience working with global teams

Responsibilities:

• Partner with product teams to architect foundational infrastructure

• Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions

• Drive the automation of infrastructure tasks

• Collaborate closely with the software development team to refine CI/CD pipelines

• Architect and implement advanced observability solutions

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field.

Experience Requirements:

• At least 4 years of relevant work experience.

• Solid background in algorithms, data structures, and object-oriented programming

• Experience in back-end development using languages like Python and Go

• Knowledge of database technologies like PostgreSQL, Elastic, Redis.

• Knowledge of designing and building API platforms and integration systems.

Other Requirements:

• Strong problem-solving skills

• Attention to detail

• Ability to work independently and as part of a team

• Experience working with global teams

Responsibilities:

• Develop and maintain enterprise software applications

• Write clean, efficient, and maintainable code

• Build scalable and reliable back-end systems

• Develop and maintain APIs using REST and gRPC

• Build and maintain scalable and extensible data schemas

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience.

Experience Requirements:

• A minimum of 4 years of professional experience in full-stack development

• Focus on front-end engineering and API integration

• Strong proficiency in HTML, CSS, and JavaScript

• Extensive experience in React

• Experience with gRPC for client-server communication

Other Requirements:

• Excellent problem-solving and analytical skills

• Strong communication and collaboration skills

• Ability to work effectively both independently and as part of a team

Responsibilities:

• Design, develop, and implement exceptional user interfaces

• Collaborate closely with product managers, UX designers, and other stakeholders

• Develop and maintain API integrations

• Contribute to back-end development

• Build, test, and deploy full-stack web applications

Education Requirements:

• Degree in Computer Science, Electrical Engineering, or a related technical or scientific field with a focus on Machine Learning preferred.

Experience Requirements:

• 10+ years in semiconductors, edge AI, or embedded hardware solutions account management

• Demonstrated success closing deals with Tier-1 OEM and ODM customers

• Deep understanding of design-in, qualification, and production cycles

• Existing relationships within semiconductor, embedded, and industrial AI ecosystems

Other Requirements:

• Strong commercial instincts with a builder mentality

• Technically fluent and credible with engineering teams

• Skilled in negotiating complex, multi-year commercial agreements

• Able to operate independently in a fast-moving startup environment

• International OEM / ODM experience

Responsibilities:

• Own strategic account relationships from first engagement through production

• Drive commercial adoption of Blumind’s edge AI products and IP

• Develop account-level strategies aligned with our product development cycles and roadmap

• Build partnerships with semiconductor vendors, module suppliers, OEMs and platform providers

• Work directly with customer engineering teams to support evaluations, pilots, and design-ins

Benefits:

• Health coverage

• Equity awards

• Flexible time off

• Fun and challenging work environment

• Technical mentorship and growth

Education Requirements:

• PhD in Computer Science, AI, Linguistics, Applied Physics or related fields

Experience Requirements:

• Extensive experience with large language models

• Proficiency in PyTorch

• Proficiency in Python

Other Requirements:

• Analytical and Problem-Solving Skills

• Communication and Collaboration Skills

• Innovation and Continuous Learning

Responsibilities:

• Design and maintain various components of the Beehive AI algorithms and LLMs

• Work independently on the full cycle of development

• Research and experiment with generative AI solutions

• Implement and productionalize AI components

Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• Competitive compensation and equity participation

• Flexible, innovative, and highly collaborative environment

Experience Requirements:

• Minimum of 10 years of customer success experience

• 5+ years operating at the VP level leading and scaling CS teams

• VP-level experience in SaaS, subscription-based environments

• Strong track record of driving high renewal and retention rates

• Experience supporting large enterprise customers with complex solutions

Other Requirements:

• Entrepreneurial mindset

• Ability to rapidly develop deep product expertise

• Willingness to lead from the front and operate hands-on

Responsibilities:

• Build, lead, and scale a global Customer Success organization

• Develop strategies to deliver incremental professional services revenue

• Align CS strategy with customer satisfaction and value creation goals

• Drive operational excellence through standardized CS processes

• Act as executive sponsor with major customers and strategic partners

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)

Education Requirements:

• BS, MS, or PhD in AI, Computer Science, or a related field

Experience Requirements:

• At least 2-3 years of industry experience

• Experience with transformer architectures

• Familiarity with cross-attention, token fusion, or modality alignment

• Proficiency in Python and deep learning frameworks

• Understanding of scalable training for large models

Other Requirements:

• Passion for building AI that reasons over sensory input

Responsibilities:

• Design and develop multimodal transformer architectures

• Research and implement cross-modal attention mechanisms

• Build scalable training pipelines for large-scale multimodal transformers

• Explore self-supervised and contrastive pretraining objectives

• Optimize transformer models for real-time inference

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