Other Requirements:

• Mind. 25 Jahre alt

• Ideal sind 24 Monate Erfahrung in Cloud Projekten

Responsibilities:

• Entwicklung des sentin EXPLORERs

Other Requirements:

• Mind. 25 Jahre alt

• Ideal sind 24 Monate Erfahrung in Computer Vision / KI Projekten

Responsibilities:

• Entwicklung des sentin EXPLORERs

Other Requirements:

• Sehr gute Präsentationsfähigkeiten

• Deutsch und Englisch verhandlungssicher

• Hohes Maß an Selbstständigkeit

• Mind. 25 Jahre alt

• Ideal sind 24 Monate Erfahrung im B2B Umfeld (vorzugsweise Sales)

Responsibilities:

• Vertrieb des sentin EXPLORERs

Other Requirements:

• Sehr gute Präsentationsfähigkeiten

• Deutsch und Englisch verhandlungssicher

• Grundlagenwissen in Softwareentwicklung und/oder Data-Science oder sonstige technische Grundlagenkenntnisse (z. B. Ingenieurswesen)

• Hohes Maß an Selbstständigkeit

Responsibilities:

• Planen und Managen von Projekten mit Kunden und dem sentin EXPLORER

Benefits:

• Stock options

• An opportunity to grow with a company that values innovation and user-centric design.

• Generous vacation policy to ensure work-life harmony and well-being.

• Contribute to a company with a global impact based in the US, Canada, and Europe.

Experience Requirements:

• 4+ years of experience in product marketing

• Strong understanding of marcomm principles and experience in crafting integrated marketing campaigns.

• Excellent communication and presentation skills with the ability to influence cross-functional teams.

• Proven ability to manage multiple projects simultaneously in a fast-paced environment.

• Analytical mindset with experience in data-driven decision making and measuring campaign effectiveness.

Responsibilities:

• Develop and execute product positioning and messaging that resonates with our target audiences.

• Lead go-to-market strategies for new product launches and updates, ensuring alignment with overall company objectives.

• Collaborate with product management, sales, and customer success teams to understand product features and customer pain points.

• Conduct competitive analysis and customer research to inform marketing strategies.

• Track and report on product performance metrics, ensuring constant feedback loops with key stakeholders.

Responsibilities:

• Search & identify key companies to target for business growth and development

• Generate prospects in targeted market

• Qualify leads that are generated via marketing activities

• Collaborate with stakeholders and enrich details in CRM

• Work on ad-hoc projects which are critical to our business

Experience Requirements:

• Knowledge of HubSpot/SFDC

• 3-5 years of marketing experience, preferably in B2B marketing including specific experience with multi-touch campaigns, events, demand generation, and multi-channel

Responsibilities:

• Develop integrated field programs, mapping audience-centric themes to target audiences throughout the buying cycle to achieve pipeline creation and revenue goals for specific customer segments

• Work closely with our sales and customer success team and forge strong communication and processes between teams

• Execute regional field marketing campaigns including, but not limited to trade shows, owned events, user conferences, webinars, and other lead generation activities

• Plan and execute marketing strategy with other marketing team members

• Continuously measure, manage and appropriately adjust campaign effectiveness: lead generation performance; lead conversion ratios; sales cycle conversions Expand and adapt that strategy based on learnings and analysis of sales and marketing data—both internally collected and available industry standards Travel between our European and US offices in addition to the events you will be organizing. It's essential that you're open and willing to travel as and when required

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor’s Degree.

Experience Requirements:

• 1+ years of experience in a Business Development or Sales Development role at a high-growth SaaS or tech company.

• Experience with Salesforce, Outreach, Zoominfo, etc.

• Willingness to engage in a high volume of outbound calling and emailing activities daily.

• Self-motivated with the ability to thrive in a fast-paced, high-growth environment within a distributed workforce.

Responsibilities:

• Educate the Market–Most companies don’t realize AI can prevent injuries. You’ll be the first to tell them.

• Own outbound prospecting—research, identify, and engage key prospects to build a high-value sales pipeline.

• Break through the noise—use creative, multi-channel outreach (cold calls, emails, LinkedIn) to grab attention and drive conversations.

• Engage top decision-makers—connect with leaders in safety, operations, and risk management to uncover pain points and spark interest.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor’s degree in Finance, Accounting, or a related field; MBA or CPA preferred.

Experience Requirements:

• Proven track record in a senior finance leadership role, ideally at a high-growth startup, with experience at the Series A stage or beyond.

• Strong expertise in building complex financial models and creating insightful KPI dashboards.

• Experience leading or supporting successful fundraising efforts, including Series B+ financing rounds.

• Deep understanding of SaaS or AI/ML business models and metrics.

Responsibilities:

• Develop and maintain dynamic financial models to support business forecasting, scenario planning, and strategic decision-making.

• Design, implement, and manage KPI dashboards to provide real-time insights into business performance and key growth drivers.

• Collaborate closely with the Financial Controller to lead annual budgeting and long-term financial planning, ensuring seamless alignment with the company’s strategic objectives.

• Collaborate with the CEO and leadership team to execute fundraising strategies for future financing rounds.

Education Requirements:

• BA/BS degree or equivalent experience.

Experience Requirements:

• A minimum of 5 years in customer-facing roles in SaaS, with at least 3 years of experience in technical consulting, technical account management, or solutions engineering.

• Ideally, you have experience with AI/Machine Learning/NLP technologies and are familiar with Helpdesks and CRMS like Zendesk, Salesforce, Kustomer, and others.

Responsibilities:

• Technical Product Enablement: Provide technical guidance to customers on our AI solutions, including demonstrating capabilities, advising on best practices, and helping customers integrate and maximize value.

• Solution Delivery & Scoping: Lead scoping sessions with customers to collect business requirements and work cross-functionally to ensure the delivery of the right technical solutions.

• Collaborative Leadership: Collaborate closely with internal teams (Sales, Implementation, Engineering, Product) to ensure smooth execution of customer solutions, from pre-sales to deployment.

• Thought Leadership: Become a trusted advisor, sharing knowledge and best practices to promote AI adoption and usage.

• Customer Advocate: Champion customer needs within Forethought, ensuring that customer feedback directly influences our product and service strategies.

Responsibilities:

• Develop, test, and deploy visually appealing, user-friendly web and mobile interfaces.

• Collaborate with designers and backend engineers to ensure seamless integration of APIs and UI components.

• Write clean, modular, and maintainable code using modern JavaScript frameworks and libraries (e.g., React, Vue.js, or Angular).

• Optimize frontend performance to ensure fast load times and a smooth user experience.

• Implement responsive designs that work across a range of devices and screen sizes. Participate in code reviews, testing, and debugging to maintain high-quality standards. Stay updated on the latest trends and best practices in frontend development and UI/UX design.

Responsibilities:

• Assist in developing and maintaining server-side applications and APIs.

• Work with databases to design schemas, write queries, and manage data efficiently.

• Collaborate with front-end engineers to integrate user-facing elements with backend services.

• Ensure the performance, scalability, and security of backend systems.

• Debug and troubleshoot issues in backend code and infrastructure. Write clean, maintainable, and well-documented code. Participate in code reviews and team discussions to enhance overall code quality.

Responsibilities:

• Annotate, label, and categorize images and videos for training computer vision models.

• Review and validate annotations to ensure accuracy and consistency across datasets.

• Collaborate with the AI/ML team to define annotation guidelines and workflows.

• Perform quality control checks on datasets to identify and correct errors.

• Provide feedback to improve annotation tools and processes. Manage and organize large datasets, ensuring data security and confidentiality. Stay updated on advancements in computer vision and data annotation techniques.

Responsibilities:

• Develop and deploy advanced image and video processing algorithms with a focus on real-time performance.

• Utilize libraries like OpenCV, YOLO, TensorFlow, and PyTorch for object detection, recognition, and tracking.

• Optimize image processing workflows for latency-sensitive applications on edge devices.

• Train, fine-tune, and deploy machine learning (ML) and deep learning (DL) models on platforms like Jetson Nano and Raspberry Pi.

• Implement AI models for computer vision tasks, including object detection, segmentation, and anomaly detection. Leverage hardware acceleration (e.g., NVIDIA TensorRT) for performance optimization. Interface SBCs with peripheral devices like cameras, sensors, and actuators for seamless system integration. Design and implement real-time processing pipelines for image and video analytics applications. Optimize algorithms for performance, energy efficiency, and memory utilization on embedded platforms. Conduct profiling and performance tuning of ML/DL models on edge devices. Conduct rigorous testing of real-time image processing and AI systems under various environmental conditions. Ensure systems meet accuracy, latency, and reliability requirements for deployment in real-world scenarios. Collaborate with AI researchers, software developers, and hardware engineers to deliver high-impact solutions. Create detailed documentation for system designs, algorithms, and deployment processes.

Responsibilities:

• Design and implement end-to-end MLOps pipelines for model development, training, and deployment

• Build and maintain scalable AI training and serving infrastructure

• Create automated CI/CD pipelines specifically tuned for deep learning models

• Implement comprehensive monitoring systems for model performance and system health

• Develop scalable solutions for efficient serving of large AI models in production Collaborate with AI Engineers to optimize model deployment workflows Set up and maintain model registry and versioning systems Implement distributed training environments and data pipelines Design and maintain testing frameworks for AI systems Establish metrics collection and visualization for model performance Create reproducible environments for AI development Optimize GPU/TPU resource utilization and management Implement disaster recovery and high availability for AI systems Set up distributed training environments for large-scale models Implement efficient data pipelines for training and inference

Responsibilities:

• Design, develop, and optimize embedded systems for sensor integration in fitness equipment.

• Implement and test a variety of sensors (e.g., force, motion, proximity, and pressure sensors) to ensure high accuracy and reliability.

• Create schematics and design PCBs for embedded systems, considering size, power efficiency, and cost.

• Collaborate with cross-functional teams to ensure seamless integration of hardware with software systems. Prototype, debug, and validate hardware components, identifying and solving design and implementation challenges. Develop firmware for sensor communication and data acquisition. Conduct performance testing of sensors and PCBs, ensuring compliance with industry standards. Stay updated on the latest sensor and embedded technology trends to integrate innovative solutions into our products. Prepare and maintain technical documentation, including design files, test results, and user manuals.

Experience Requirements:

• Has 4-6 years of experience as an HR Business Partner in a technology or ITeS firm.

• Has experience in onboarding and off-boarding employees.

• Has experience in running appraisals for teams across engineering, GTM, and finance.

• Has experience in mediating conflicts, drafting complaints, and disciplinary actions.

Responsibilities:

• Setting up an HRMS and onboarding the entire team of Tune AI to it.

• Setting up company policies and ensuring all relevant systems reflect the same.

• Setting up 360 degree feedback mechanisms for employees and leaders.

• Lead appraisals, performance management and reviews.

• Work with hiring managers to set up an effective onboarding and ramp-up process for new hires. Ensuring regulatory compliance like labour laws, POSH, ESI, PT, etc. Ensuring proper payroll each month as well as adherence to policies based on employment contracts. Leading talent acquisition from sourcing to offer letter. Be a trusted advisor to the founding team on matters related to industry standards.

Benefits:

• Highly Competitive Salary Package

• Employee Shares Program

• Mentor Program

• Flexibility - Time Off & Hybrid Working

• Internal Social Events (e.g., cooking, game nights, sports) Company Team Weeks Central Office Location in Munich, London, and Boston Investment in Your Learning Benefit Package

Benefits:

• Highly Competitive Salary Package

• Employee Shares Program

• Mentor Program

• Flexibility - Time Off & Hybrid Working

• Internal Social Events (e.g., cooking, game nights, sports) Company Team Weeks Central Office Location in Munich, London, and Boston Investment in Your Learning Benefit Package

Benefits:

• A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.

• Difficult and interesting problems to solve.

• Pilot license subsidy.

• Hybrid work setting.

• Learning & Development budget: visit conferences of your choice.

Education Requirements:

• Master’s or PhD degree in computer science, physics, mathematics or a related technical field.

Responsibilities:

• Ensure that our neural networks perform strongly in all conditions, by combining work on data, model design, and training.

• Ensure that this performance can be guaranteed, through careful design and verification activities, under our ML certification framework developed in collaboration with regulators.

• Leverage transfer learning to massively increase the amount of training and evaluation data available, in particular through the use of simulation.