Education Requirements:

• Ecole d’ingénieur ou Master scientifique, MBA ou formation supérieure en gestion, économie, finance

Experience Requirements:

• expérience confirmée dans le domaine des services énergétiques (idéalement intelligents utilisant des plateformes numériques) au bâtiment (ESCO) dans une fonction opérationnelle, avant-vente ou commerciale.

Responsibilities:

• Planification du marché Logistique et Transport et définition de l’approche des cibles en vue d’une croissance durable du portefeuille d’affaires.

• Planification et prospection commerciale auprès des grands acteurs de la logistique et du transport.

• Gestion des grands comptes.

• Evaluation de l’offre et de la réponse technique conjointement avec les opérations et les partenaires en charge de l’implémentation.

• Revue des offres en coordination avec l’équipe opérationnelle existante.

Education Requirements:

• Bac + 5, de préférence scientifique

Experience Requirements:

• première expérience en tant que Product Owner si possible dans le domaine des logiciels BtoB.

Responsibilities:

• Le Product Owner participe à une ou plusieurs Feature Teams au sein des équipes R&D d’Accenta pour délivrer de la valeur aux utilisateurs en développant de nouvelles fonctionnalités sur nos produits.

• Vous définissez chaque évolution produit sous forme de User Story dans votre périmètre produit, vous les priorisez au sein du Product Backlog, et vous en assurez le suivi.

• Vous animez une ou plusieurs Feature Teams avec l’appui des managers de la R&D, vous encouragez l’esprit d’équipe et vous vous assurez que l’équipe travaille pour répondre à sa mission.

Education Requirements:

• DUT GEII

Experience Requirements:

• expérience significative dans l’installation, la programmation et la maintenance d’automates/équipements CVC/HVAC/SMART BUILDING.

Responsibilities:

• Participer aux études de conception et au chiffrage des projets d’intégration de smart GTB

• Réaliser et/ou participer à la programmation des automates conformément aux spécifications de l’entreprise

• Réaliser et/ou participer à la programmation des supervisions et IHM conformément aux spécifications de l’entreprise

Education Requirements:

• Bac + 5 / Master

Experience Requirements:

• expérience d’environ 10 ans est requise dans la gestion de projets Smart building

Responsibilities:

• supervision du développement et de la mise en œuvre de projets complexes

• production des offres dans ses volets techniques et contractuels, en collaboration avec les équipes commerciales et les études

• maîtrise d’œuvre de conception et de réalisation des systèmes GTB intelligents, en lien avec les autres départements, et notamment la R&D

Education Requirements:

• Bac + 5 / Master

Experience Requirements:

• Une expérience d’environ 10 ans est requise dans la gestion de projets CVC

Responsibilities:

• supervision du développement et de la mise en œuvre de projets complexes

• production des offres dans ses volets techniques et contractuels, en collaboration avec les équipes commerciales et les études

• maîtrise d’œuvre de conception et de réalisation des systèmes énergétiques bas carbone, en lien avec les autres départements, et notamment la R&D

Experience Requirements:

• You’ve trained, fine-tuned, or served state-of-the-art deep learning models.

• You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.

• You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.

Experience Requirements:

• You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.

• You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.

• You’re a systems thinker who loves optimizing at every level of the stack.

Experience Requirements:

• You have a knack for building intuitive UIs and seamless user experiences.

• You blend design thinking with solid engineering skills.

• You enjoy iterating quickly based on real user feedback.

Education Requirements:

• bachelor’s degree

Experience Requirements:

• two to five years of inside sales / telemarketing experience delivering quality CXO (CEO, CFO, CIO, etc.) business leads to highly motivated enterprise sales executives, and managing existing CXO relationships.

• Some expertise in industrial value chain operations (supply chain, maintenance, military, manufacturing, field services) is expected.

Experience Requirements:

• 10+ years of experience in GTM strategy, sales operations, or revenue operations, with leadership experience in SaaS or healthcare technology.

• Experience working at a technology startup and/or growing a business from the beginning.

Responsibilities:

• Develop and execute a comprehensive GTM strategy that ensures seamless alignment between marketing, sales, solution engineering, and customer success.

• Define ICP (Ideal Customer Profile) and Target Market Strategy, ensuring that sales and marketing efforts are focused on high-value opportunities.

• Own end-to-end sales funnel performance, ensuring alignment across lead generation, qualification, pipeline conversion, and customer retention.

• Drive cross-functional team adherence to emtelligent’s evolving sales process.

• Oversee CRM (HubSpot) and sales tech stack management, ensuring data accuracy, reporting consistency, and operational efficiency.

Experience Requirements:

• 15+ years of experience in solution engineering, technical sales, or pre-sales engineering, with at least 5 years in a leadership role.

• Deep expertise in healthcare IT and data interoperability and cloud-based AI/ML solutions.

Responsibilities:

• Own the pre-sales technical process, ensuring clear alignment between customer needs and the capabilities of our NLP platform.

• Define the pilot framework, including success metrics, implementation roadmaps, and integration requirements.

• Establish a solution engineering foundation of customer credibility and the structure and processes that will enable you to build a team capable of delivering world-class technical support to customers.

• Ensure customers can successfully integrate and scale our NLP technology within their environments.

Education Requirements:

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

Experience Requirements:

• 5+ years of experience in Python, API and web development.

Responsibilities:

• Design, build, and grow full stack solutions with clean, efficient, and maintainable code in Python for server-side logic.

• Work with cross-functional teams to execute complex web development projects from concept to deployment aligning on objectives and timelines.

• Work with and develop APIs to support both internal use and client-facing applications

• Develop and maintain algorithms and libraries with a clear focus on building software that is efficient and scalable.

Education Requirements:

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

Experience Requirements:

• 5+ years of experience in web development implementing front-end code to seamlessly integrate with existing back-end APIs.

Responsibilities:

• Design and develop responsive and interactive user interfaces using HTML, CSS, and modern JavaScript frameworks.

• Work closely with UX/UI designers and cross-functional teams to create responsive, engaging interfaces.

• Implement, maintain, and improve front-end architectures using modern frameworks like React, Vue, or Angular.

• Be able to understand and work with code written in Python for server-side logic as needed.

Benefits:

• competitive startup salaries

• early-stage stock

• unlimited vacation

• medical/dental benefits

• flexible work environment

Education Requirements:

• Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.

Experience Requirements:

• 3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.

Responsibilities:

• Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.

• Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.

• Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.

• Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Basic SQL understanding

• Initiative to locate data sources

Other Requirements:

• Work with 3rd parties

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client operations

• Client stakeholder mapping and management

• Product deployment planning

• Structured Data sourcing, ingestion, validation, testing for our RealTime Factory OEE product

• Structured Data sourcing for Allie ML

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Initiative to locate data sources

• Work with 3rd parties

Other Requirements:

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Basic SQL understanding

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client workflows

• Client stakeholder mapping and management

• Product deployment planning

• Data sourcing

• Data loading

Education Requirements:

• Ideal candidates will have completed one or several machine learning courses on Coursera, such as Stanford's machine learning course, or the Deeplearning.ai specialization.

• Ideal candidates will have completed one or several generative AI courses on coursera, such as generative AI for everyone

Other Requirements:

• You are expected to understand and know the broad steps to develop and improve traditional machine learning - specifically regression and logistic regression.

• Overall you're expected to understand what generative AI is, and simply know its key capabilities. You're not expected to be a technical expert, simply to know what these things are and what to look for.

• Traditional machine learning understanding

• Generative AI understanding

Responsibilities:

• Understand latent needs and pain points

• Define predictions for ML

• Define Generative AI use cases

• Manage Road map

• Writing user stories

Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Benefits:

• Base salary + commission plan (50-50 OTE split)

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

• 10 Paid Holidays

Experience Requirements:

• 3+ years of experience as an account executive in SaaS sales

• experience navigating six to seven figure ACV sales processes with large, complex customer prospects

• experience working in early-stage startups and are comfortable navigating ambiguity

Other Requirements:

• entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment

• top performer in your current role, with strong communication skills and a consultative sales approach

• technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation

• team-first mindset and are eager to help others succeed while simultaneously driving your own results

Responsibilities:

• Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals

• Work both inbound leads generated by the SDR team and self-sourced opportunities

• Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved

• Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting

• Achieve and exceed ambitious monthly quotas, demonstrating consistent performance

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Proven experience in designing and building high-performance and secure APIs

• Strong programming skills in Python

• Knowledge of cloud computing, SaaS, and microservices architecture

• Familiarity with Docker, and Kubernetes

• Experience with performance optimization and scalability of distributed systems

Other Requirements:

• Excellent problem-solving and debugging skills

• Strong teamwork and communication skills

• A passion for staying updated on emerging technologies and industry trends

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and maintain the control plane components of our distributed computing platform.

• Implement and optimize Python-based control plane services to enable the management, orchestration, and scaling of distributed workloads.

• Contribute to the development of SaaS offerings, ensuring they meet high standards of reliability, scalability, and security.

• Identify performance bottlenecks and implement solutions to improve the overall efficiency of our distributed systems.

• Actively participate in code reviews, providing and receiving feedback to maintain code quality and best practices.Stay up-to-date with the latest trends and technologies in distributed computing and SaaS to drive innovation within the company