Benefits:

• Health insurance

• Top-of-market compensation

• Flexible vacation

• Employee-friendly equity terms

• Sell equity along the way: Unlike most startups, we don’t believe in holding you captive with golden handcuffs. When there are opportunities for you to sell a portion of your vested stock, we offer them.

Benefits:

• Free in-office snacks, beverages, hot drinks, and salads.

• Free team lunch every Wednesday.

• Free in-office physical therapy sessions.

• Quarterly team-building event.

• Career development training.

Responsibilities:

• Work closely with the Product team for all the related aspects regarding the Data Intelligence platform.

• Work closely with the CTO for all the backend/ETL-related developments and improvements.

• Take charge of the design and development of data pipeline architectures based on the Cloud.

• Monitor our data pipelines, bringing automation and alert management into the picture.

• Support design and delivery of CI/CD pipelines in cooperation with Software and QA teams.

Experience Requirements:

• 4 years of experience in sales

• Experience in SaaS or tech solutions

• Experience with B2B clients

Responsibilities:

• Prospecting: Identifying, contacting, and converting potential clients.

• Pipeline Management: Owning the sales pipeline, ensuring consistent follow-ups, and negotiating deals that align with Aiba.ai’s goals.

• Sales Pitches: Delivering compelling pitches that demonstrate the value of Aiba.ai’s products.

• Closing Deals: Negotiating contracts and closing deals that meet and exceed client needs.

• Account Management: Developing and maintaining relationships with clients, focusing on retention and growth.

Benefits:

• Global virtual work environment

• Responsible paid time off policy (RTO)

• Company-recognized Holidays

• Generous total rewards package

Education Requirements:

• Master’s degree or higher in Computer Science, Engineering, AI, or related fields.

Experience Requirements:

• A minimum of 2-3 years of experience developing and deploying machine learning models

• Proven proficiency in multi-agent reinforcement learning, decentralized AI, and smart city infrastructure modeling.

Other Requirements:

• Familiarity with probabilistic programming, Active inference bonus

• Familiarity with CityLearn framework or similar AI-driven sustainability tools.

• Strong software engineering skills, including experience with Python, ML deployment, and scalable systems.

• VERSES is unable to offer visa sponsorship or assistance with work authorization for this position. Only candidates authorized to work in the United States and Canada without the need for sponsorship will be considered.

• VERSES currently does not accept agency resumes. Please do not forward resumes to our careers email or to VERSES employees. VERSES is not responsible for any fees or overhead related to unsolicited resumes. No agencies, please.

Responsibilities:

• Develop, deploy, and scale multi-agent reinforcement learning models within decentralized AI systems for sustainable urban solutions (EcoNet).

• Integrate CityLearn framework and other smart city modeling tools to enhance adaptive, resilient urban infrastructure systems.

• Collaborate closely with research and product teams to transition research models into production-ready systems.

• Continuously refine system dynamics and decentralized AI system capabilities.

Benefits:

• Global virtual work environment

• Responsible paid time off policy (RTO)

• Company-recognized Holidays

• Generous total rewards package

Education Requirements:

• Bachelor's degree in Computer Science or a related field or equivalent years of work experience

Experience Requirements:

• At least 10 years of experience in software engineering, with a focus on developing solutions for, and supporting, enterprise-scale applications.

• Proficiency in at least one “server-side” programming language, such as Python, Rust, or Node.js

• Experience with cloud technologies (AWS, Azure, GCP), containerization (Docker, Kubernetes), and databases (MySQL, PostgreSQL, MongoDB) Experience with pub sub technologies such as RabbitMQ, Kafka, and Reddis.

• Strong understanding of web technologies and standards, such as REST/CRUD, HTTP, DNS and web security

• Experience with DevOps and security practices

Other Requirements:

• Experience with API design and development

• Experience working with IoT and edge computing technologies

• Experience with agile software development methodologies

• Understanding of core machine learning and AI concepts, including generative models (like GPTs), and an awareness of emerging paradigms such as active inference

• VERSES is unable to offer visa sponsorship or assistance with work authorization for this position. Only candidates authorized to work in the United States without the need for sponsorship will be considered.

• VERSES currently does not accept agency resumes. Please do not forward resumes to our careers email or to VERSES employees. VERSES is not responsible for any fees or overhead related to unsolicited resumes. No agencies, please.

Responsibilities:

• Migrating research concepts and ideologies (ie Active Inference) into production software

• Evolve our agentic platform promoting scalability and maintainability furthering the state of the art

• Rapidly prototype systems for live demonstration, applying cutting-edge technologies to connect the physical and digital worlds

• Work closely with partners to develop and implement solutions as they onboard to the Genius Platform, ensuring a seamless integration and adoption process.

• Collaborate with cross-functional teams, including researchers, designers, and other engineers, to define software requirements and guarantee successful implementation.

Benefits:

• Flexible Work-Life Balance

• Competitive Compensation

• Make a difference

• Creative Freedom

• Team Spirit

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• M.S. in Electrical Engineering, Applied Physics or related field

Experience Requirements:

• Five (5) or more years relevant industry experience of photonics integrated circuit design

Responsibilities:

• Develop and implement novel photonic integrated devices and circuits.

• Manage complexity and optimize large-scale layouts in advanced wafer platforms.

• Contribute to system-level optimization and product strategy.

• Be motivated by making the world a better place through technology, and wanting to be part of a team that makes this happen.

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• BA/BS degree in a relevant field or equivalent practical experience

Experience Requirements:

• 15 years communications and policy communications experience

Responsibilities:

• Developing and deliver an inspiring communications and communications strategy to support the team’s ambitious agenda across the world

• Developing a range of communication materials to supporting Tapestry’s campaigns such as press releases, FAQs and talking points for a diverse set of press, industry and policy audiences

• Working cross-functionally and with partner organizations to create, lead and execute complex multi-stakeholder communication campaigns

• Building and maintaining strong relationships with members of the press, influencers, policy makers and partners, including serving as an on-record spokesperson.

• Developing strategy to meaningfully engage policymakers and key opinion formers on matters affecting Tapestry’s roll out and contributions to the energy sector

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• Bachelor degree in Optics or Physics

Experience Requirements:

• 7+ years of experience in a Manufacturing Engineering role.

Responsibilities:

• Define, build, document, train and maintain manufacturing assembly, integration and test processes and tooling for optical and opto-mechanical sub-systems to ensure they fulfill design intent, specifications and performance determined by engineering and design is successfully transferred to manufacturing.

• Provide manufacturing engineering input throughout the product life cycle, driving Design for Manufacturing (DFM), Failure Modes and Effects Analysis (FMEA) activities, supporting new product introduction (NPI) builds, and ensuring sustained production quality, process, and yield for Optics integration, alignment, testing and calibration at component, module and system level.

• Define and improve manufacturing procedures, make recommendations for design and/or manufacturing methods and coordinate projects which will result in economical manufacturing costs and enhanced quality.

Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Experience Requirements:

• Minimum of 5 full years of work experience in software sales at fast-growing B2B tech companies, carrying quotas and focused on hunting.

• Experience with long sales cycles (6-12 months) and navigating large enterprises procurement processes.

• Proven track record of consistent performance and quotas attainment. You must have sold recurrent 6-7 figures yearly deals, on a regular basis, across EMEA.

• Comfortable engaging in technical discussions with Gen AI engineering teams.

• Excellent verbal and written communication skills in English (fluent) and French (at least professional proficiency). Bonus points for experience with revenue intelligence or developer intent tools.

Other Requirements:

• We are hiring people located in France or willing to relocate.

• You must have an EU work permit.

Responsibilities:

• drive pipeline generation by building and maintaining pipeline coverage to meet revenue goals.

• lead qualification and demos: deliver compelling product demonstrations and presentations tailored to the unique challenges of large enterprises while continuously educating them on the business value of Giskard's enterprise solution.

• develop trusted advisor relationships with Gen AI leaders and experts ensuring they understand the depth of Giskard's value proposition.

• manage complex deal cycles, often involving multi-stakeholder procurement processes, security reviews, and legal negotiations.

• provide feedback to the product team, shaping the roadmap based on insights from the ground.

Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Experience Requirements:

• Minimum of 3 years' experience in Customer Success or Consulting roles.

• Demonstrated project management skills within large organizations and handling various technical stakeholders.

• Experience managing AI projects, ideally involving Large Language Models.

• Outstanding communication skills in both English and French, in written and verbal form.

• Bonus: experience in early-stage startups (<50 employees). Bonus: proficiency in German.

Other Requirements:

• We are hiring people located in France or willing to relocate.

• You must have an EU work permit and you must speak French.

Responsibilities:

• Help customers use our product successfully to make their LLM Agents more secure & reliable

• Coordinate with key decision-makers among our customers, from initial product evaluation and onboarding, to continuous usage and renewals

• Act as the bridge between our customers and Giskard's Product and R&D team

• Support Giskard's sales & marketing team with customer stories and hands-on product knowledge

Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Education Requirements:

• Ph.D. in Machine Learning / Artificial Intelligence, preferably on Generative AI / LLM topics

Experience Requirements:

• Experience in Machine Learning / Artificial Intelligence research, with a track record of publishing research papers and turning them into useful tools.

• Expert proficiency in the Python AI stack, especially with PyTorch, Hugging Face and LLM frameworks.

• Strong skills in software engineering (use of Git, production-ready code.)

• Strong written & oral communication skills in English.

• Bonus 1: open-source contributions are highly valued. Bonus 2: knowledge of cybersecurity fundamentals and techniques is also a plus.

Other Requirements:

• We are hiring people located in France or willing to relocate.

Responsibilities:

• Develop production-ready tools for LLM evaluation & mitigation that can be integrated in our software platform

• Conduct our scientific watch, reading academic papers in the fields of AI Testing / Benchmarking / Security.

• Communicate findings with other AI teams at customers & partners, such as Mistral AI, AWS, Google, Microsoft, NVIDIA, in the form of presentations and papers.

• Push the frontier of AI Safety & Security research with a focus on tools for real-life applications.

Responsibilities:

• Guide product vision with purpose, ensuring every solution aligns with ethical and operational excellence.

Responsibilities:

• Design advanced algorithms with precision, driving responsible, cutting-edge AI applications that empower industries.

Responsibilities:

• Establish and enforce ethical guidelines, maintaining strict standards in data usage and technology implementation.

Responsibilities:

• Craft intuitive, user-centered experiences that embody LunarTech’s dedication to human-centric design and accessibility.

Responsibilities:

• Engineer robust, scalable solutions that meet both current and future technology needs with uncompromised quality.

Responsibilities:

• Identify and drive strategic advancements, ensuring all technological developments align with LunarTech’s core values.

Responsibilities:

• Protect critical systems and data integrity through vigilant monitoring and adaptive security strategies.

Benefits:

• Unlimited vacation

• Flexible working hours

• Remote work possible

Experience Requirements:

• 5+ years of SW product planning and commercialization experience

Other Requirements:

• Fluent in English (written and verbal, native level)

• Portfolio submission required

Responsibilities:

• Manage/improve machine learning solutions based on understanding of customers and communication with various internal stakeholders.

• Derive development priorities and establish/execute product management processes by comprehensively considering business strategy, customer value chain, and development resources.

• Understand and execute the process of delivering products to B2B customers.