AI Jobs

Education Requirements:

• Bachelor's degree or diploma in Accounting, Finance, or related field

Experience Requirements:

• 3+ years of progressive accounting/bookkeeping experience

Other Requirements:

• Proficiency in Excel (pivot tables, lookups)

• Knowledge of accounting software (QuickBooks, NetSuite, or similar)

• Knowledge of IFRS and internal controls

• Strong communication and organizational skills

Responsibilities:

• Maintain accurate financial records including GL, AP, AR, and payroll

• Perform monthly bank and balance sheet reconciliations

• Support monthly, quarterly, and year-end close processes

• Assist in preparing consolidated financial statements and management reports

• Prepare expense analyses and identify trends or anomalies

Other Requirements:

• Legally authorized to work in the United States

• Willing to work in-office five days a week

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering

Experience Requirements:

• 6+ years of hands-on experience developing embedded software

• Experience with Yocto Project / OpenEmbedded

• Experience with BSPs and bootloaders (U-Boot)

• Proficiency in C/C++ for low-level software

• Strong Linux debugging skills (GDB, strace, perf)

Other Requirements:

• I2C

• SPI

• UART

• GPIO

• CI/CD

• Secure boot

• OTA update systems

• SoC knowledge

Responsibilities:

• Maintain Yocto-based embedded Linux distribution

• Improve and extend BSPs, Yocto layers, and recipes

• Support new hardware revisions and board bring-up

• Develop low-level system software in C/C++

• Provide technical leadership and mentor other engineers

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 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:

• 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:

• 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:

• 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:

• 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:

• 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:

• Competitive salary and performance bonus

• Flexible working hours and home office

• International and diverse team

• Flat hierarchies and open feedback culture

• Business travel in Europe and worldwide

Education Requirements:

• University degree in Business, Economics, or Technology Management

• Degree in Informatics, Data Science, or Circular Economy

Experience Requirements:

• Experience in selling consulting-intensive digital solutions

• Strong negotiation, communication, and presentation skills

• Success-oriented with a strong will to achieve

• Ability to present complex topics simply

Other Requirements:

• Very good German skills

• Business fluent English skills

• Willingness to travel

• Submission of CV and motivation letter required

Responsibilities:

• Acquiring new customers and expanding existing relationships

• Developing sales strategies for AI solutions

• Leading sales and contract negotiations

• Managing strategic customer relationships and presales

• Representing the company at conferences and events

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:

• Annual learning budget

• Fitness and well-being budget

• Unlimited vacation days

• Health Care Plan

• Family Leave

Experience Requirements:

• 6+ years experience

• Deep experience with SDK languages

• Building and consuming REST APIs

• Familiarity with Git/GitHub

Other Requirements:

• US citizenship/visa not required

• Objective-C/Swift

• Java/Kotlin

• C# Unity

• TypeScript/Dart

Responsibilities:

• Maintain iOS/Android/Unity SDKs

• Build ad network integrations

• Manage release processes

• Publish SDK documentation

• Assist customers with integration

Benefits:

• Competitive salary

• Meaningful equity

• Early-stage ownership

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• Strong full-stack experience

• Shipping production software

• Comfort working close to the OS

Other Requirements:

• US citizen/visa only

• Next.js skills

• Node.js skills

• Machine Learning knowledge

Responsibilities:

• Build core product surfaces

• Ship high-signal UIs

• Build backend services

• Develop native desktop apps

• Manage performance and reliability

Other Requirements:

• Commuting to the New York or San Francisco office three days per week

• Authorized to work in the U.S.

Benefits:

• Equity included

Experience Requirements:

• Experience is optional and not necessarily required

Other Requirements:

• Deep understanding of the e-commerce ecosystem

• AI-first operator

• Exceptional storytelling skills

• Data-driven mindset

Responsibilities:

• Own and execute LTV.ai's content strategy across social channels

• Ideate, produce, and publish high-velocity content

• Plan and execute breakthrough marketing campaigns

• Leverage AI tools to 10x output

• Collaborate closely with sales, product, and leadership

Benefits:

• Equity included

Education Requirements:

• Recent graduate

Experience Requirements:

• 0-2 years of experience

Other Requirements:

• Founder DNA

• Relentlessly resourceful

• AI-first mindset

• Strong communicator

• Willing to be in-person

Responsibilities:

• Own prospect follow-up and deal management

• Re-engage old prospects with creative outreach

• Support active sales cycles by preparing materials

• Hunt for new leads and identify decision-makers

• Run scrappy growth experiments

Benefits:

• Equity included

Experience Requirements:

• 3-5+ years of experience in Business Development, Partnerships, or Strategic Sales

Other Requirements:

• Proven track record of building BD or channel programs from zero

• AI-first operator

• Highly autonomous

• Analytical mindset

• Entrepreneurial DNA

Responsibilities:

• Own new logo acquisition strategy and execution

• Build channel partnerships from scratch

• Develop and iterate on BD playbooks and infrastructure

• Collaborate closely with founder on company priorities

• Work cross-functionally with Sales and Customer Success

Benefits:

• Competitive salary

• Early-stage equity package

• High-trust, execution-first culture with minimal bureaucracy

• Direct ownership of meaningful projects

• Opportunity to sit at the interface between deep research and real-world productization

Experience Requirements:

• 5+ years of hands-on software engineering experience

• Proven ability to execute on incomplete specs and drive projects to completion

• Strong experience writing production-quality code (Python & Rust strongly preferred)

• Track record of rapid prototyping in the LLM/agent space

• Experience orchestrating and evaluating complex multi-agent systems

Other Requirements:

• Legally authorized to work in the United States

• Deep understanding of LLM architecture and inference-time optimisation

• Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)

• Comfortable in fast-moving, ambiguous environments

• Bias for ownership

Responsibilities:

• Translate research prototypes and high-level concepts into production-quality software

• Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion

• Build systems that are correct, reliable, maintainable, and performant

• Work closely with ML researchers and engineers to integrate research outputs into functional systems

• Own critical engineering tasks like data pipelines, API integrations, testing, and error handling