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Senior Product Engineer, AI Platform
Resolve complex customer queries instantly and automate support workflows using an AI-first platform designed for startups and global enterprises alike.
Benefits:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
Fun events for Intercomrades
Experience Requirements:
5+ years of experience shipping high-quality products
1+ year of experience building ML-powered products (bonus)
Other Requirements:
Deep knowledge of high-level programming language (Python, Ruby etc.)
Ability to deep dive into any part of the tech stack
Bias towards progress over perfection
Excited about progress in the AI space
Responsibilities:
Build the systems that power flagship AI products
Bring proof-of-concept code to production
Partner with ML engineers and scientists to build platforms
Contribute to all phases of software development
Hiring, mentoring, and career development
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Senior Machine Learning Engineer (Computer Vision)
Generate centimeter-accurate 3D building measurements 90% faster than manual methods using AI-powered drone analysis for solar, roofing, and construction firms.
Benefits:
Opportunity to lead the AI roadmap
Collaborative and pragmatic engineering culture
Direct collaboration with the CTO
Flexible hybrid setup
Experience Requirements:
5+ years of experience in applied Machine Learning
3+ years in computer vision
Other Requirements:
Experience with PyTorch, TensorFlow, OpenCV, and Python
Understanding of CNNs and vision transformers
Experience with training pipelines and hyperparameter optimization
Familiarity with model deployment (FastAPI, TorchServe, etc.)
Experience with GCP and Docker
Responsibilities:
Lead model development for computer vision and 3D tasks
Evaluate and integrate pre-trained models
Train and fine-tune models on in-house datasets
Deploy models to production
Maintain and monitor production models
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Senior Delivery Manager (m/w/d)
Unify fragmented engineering data into living Product Twins to accelerate innovation, reduce costs, and gain system-level understanding across mechatronic lifecycles.
Benefits:
Competitive Pay & Equity (Share Options & Bonuses)
30 vacation days & company shutdown
Hybrid Work & MacBook (€500 remote budget)
Green Mobility Perks (Deutschlandticket & bike leasing)
Fitness & Wellness via Urban Sports Club
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Head of Revenue & GTM Operations (f/m/d)
Unify fragmented engineering data into living Product Twins to accelerate innovation, reduce costs, and gain system-level understanding across mechatronic lifecycles.
Benefits:
Competitive Pay & Equity (Share Options & Bonuses)
30 vacation days & company shutdown
Hybrid Work & MacBook (€500 remote budget)
Green Mobility Perks (Deutschlandticket & bike leasing)
Fitness & Wellness via Urban Sports Club
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Forward Deployed Engineer (f/m/d)
Unify fragmented engineering data into living Product Twins to accelerate innovation, reduce costs, and gain system-level understanding across mechatronic lifecycles.
Benefits:
Competitive Pay & Equity (Share Options & Bonuses)
30 vacation days & company shutdown
Hybrid Work & MacBook (€500 remote budget)
Green Mobility Perks (Deutschlandticket & bike leasing)
Fitness & Wellness via Urban Sports Club
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Account Executive, B2B AI-SaaS, net-new
Protect identities in public video data using generative AI that preserves data utility for analytics while ensuring compliance with GDPR and CCPA standards.
Benefits:
Friendly cooperation at eye level
Flexible working hours
Public transport ticket with a 50% subsidy
Discount on Urban Sports Club memberships
Generous learning budget
Experience Requirements:
5+ years of quota-carrying B2B software sales experience
Strong track record of winning net-new enterprise logos
Experience managing complex, long sales cycles (6 to 12 months)
Experience selling into multi-stakeholder environments
Strong understanding of enterprise sales methodologies (MEDDPICC, Miller Heiman, etc.)
Other Requirements:
Fluency in spoken and written English
Fluent French would be a strong plus
Highly structured, disciplined pipeline management
A passion for technology and data protection
Experience selling into regulated industries (automotive, public sector, etc.)
Responsibilities:
Drive net-new logo acquisition across enterprise accounts globally through a consultative, value-driven sales approach
Build a strong pipeline through strategic outbound and targeted account planning
Engage C-level stakeholders, data protection, and product teams to identify key contacts
Navigate complex buying committees and multi-layered approval processes
Collaborate closely with our VP of Sales and internal experts on the sales, product and marketing teams
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Strategic Account Executive / Strategic Client Advisor
Achieve over 90% straight-through processing for complex financial documents with AI agents designed to automate accounts payable and procurement workflows.
Benefits:
Unlimited vacation days
Professional development activities
Meal allowance
Sporting activities
Free beers
Experience Requirements:
Expertise in Finance and Accounts Payable processes
Track record in Finance process optimization
Consultancy experience (Big4 or Next10)
Experience in enterprise SaaS sales at the C-level
Experience working with consulting firm partners
Other Requirements:
Growth-oriented mindset
Consultative selling approach
Responsibilities:
Oversee strategic accounts in EMEA/DACH
Engage with C-level executives
Achieve individual revenue targets
Foster collaborations with partners (Big4, GSIs)
Coordinate with virtual cross-functional teams
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Commercial Account Executive | Poland (based in Germany)
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
30 days of annual leave
Monthly full-day hacking sessions
Regular in-person team events
Mental health resources
Flexible working hours
Experience Requirements:
Proven full-cycle sales experience
Expertise in software sales - especially SaaS preferred
Other Requirements:
Native Polish speaker
Fluency in English and German
Entrepreneurial mindset
Responsibilities:
Pioneer Polish market expansion
Drive business development
Qualify and convert leads
Achieve and exceed revenue targets
Manage entire sales cycle
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Senior Specialist Internal Control & Audit
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
Virtual Shares
30 days of annual leave
Mental health resources
Hack Fridays
Flexible working hours
Education Requirements:
Degree in Business Administration or similar, specialising in finance
Experience Requirements:
Professional experience in Internal Controls or Internal Audit
Knowledge of accounting (IFRS)
Experience with SOx compliance software or GRC tools
Other Requirements:
CIA or CA preferred
Initiative and hands-on mentality
Responsibilities:
Build up the SOX programme
Execute risk-based internal audits
Perform financial statement reviews
Lead and document process walkthroughs
Conduct risk assessments over business processes
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Forward Deployed Engineer (Infrastructure)
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Experience Requirements:
7+ years across SRE/Platform/Solutions/FDE
Hands on experience in Python programming
Strong with Kubernetes, containers, and IaC (Terraform/Helm)
Experience with observability stacks (Prometheus/Grafana)
Enterprise integration experience (SSO, secrets, compliance)
Other Requirements:
Resident of the European Union with an EU Passport
Confident communicator with execs and engineers
Willingness to be part of an on-call rotation
German language skills (Nice to have)
Responsibilities:
Own technical outcomes from POC to production (integrations, infra-as-code)
Produce reference architectures and reusable templates
Define SLOs and implement end-to-end observability
Lead L3 incident response and RCAs
Train customer teams on operations and emergency procedures
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Forward Deployed Engineer (Full-Stack)
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Experience Requirements:
7+ years of professional experience in Full-Stack or Solutions Engineering
Strong proficiency in JavaScript/TypeScript, React
Backend development in Python
Evidence of shipping customer-facing features
Experience integrating with enterprise systems
Other Requirements:
Resident of the European Union with an EU passport
Mastery of REST APIs, data modeling, and SQL
Knowledge of CI/CD pipelines and testing strategies
Excellent communicator
German language skills (Nice to have)
Responsibilities:
Own technical outcomes from POC to production
Build intuitive React/TypeScript UIs and Python backend logic
Produce reference architectures and reusable UI components
Define success metrics and implement monitoring
Train customer teams on delivered features
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Senior Partner Marketing Manager
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Experience Requirements:
5+ years experience in B2B partner, alliances, or field marketing
Experience in enterprise AI, developer platforms, data, or infrastructure
Successful partner collaboration within public sector or complex enterprise
Strong experience materializing impact with SIs and ISVs
Experience in or adjacent to Sovereign AI (Nice to have)
Other Requirements:
Strong storytelling and messaging skills
Ability to plan and run joint GTM programs
Collaborative and structured approach
German language skills (Nice to have)
Responsibilities:
Own and execute partner marketing strategy across global SIs and ISVs
Lead partner launches, certifications, and strategic announcements
Design and run joint GTM partner programs
Create partner-ready assets (decks, solution briefs, case studies)
Curate, organize, and run partner specific events
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Technical Project Manager - Customer Delivery
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Education Requirements:
PMP, PRINCE2, Scrum, or Agile certification (Nice to have)
Experience Requirements:
4+ years of Technical Project/Program Management in Enterprise software
Proficiency in project management methodologies (Agile, Waterfall)
Proven experience in leading external delivery projects
Experience in creating, documenting, and iterating on processes
Experience working with public sector or regulated industries (Nice to have)
Other Requirements:
Familiar with APIs and Cloud environments
Excellent communication and stakeholder management
Problem-solver with risk-management abilities
Customer-first mindset
Responsibilities:
Serve as the main point of contact for customers during delivery
Own planning, execution, and reporting for customer implementations
Run regular project check-ins and track milestones
Manage risk, dependencies and blockers
Produce project plans, dashboards, and status updates
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Sales Engineer - Public Sector
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Education Requirements:
Software engineering background
Experience Requirements:
Fluent German language skills
Significant experience in Sales Engineering, Consulting/Implementation
Practical Python skills
Experience with AI/ML workflows
Strong understanding of modern architectures
Other Requirements:
Ability to get hands-on with data, SQL, and light integrations
Strong project leadership
Commercial awareness
Focus on measurable outcomes
Responsibilities:
Lead early discovery to uncover goals and stakeholders
Translate customer needs into technical and business solutions
Build demos/POCs that prove value
Drive the plan to first value
Track usage, performance, and business outcomes
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Full-Stack Engineer
Achieve higher confidence in safety-critical applications by integrating data and automating processes with a governance-first AI platform for better decisions.
Benefits:
Leading equity-weighted total compensation
Competitive salaries and tax-advantaged options
Employer pension contributions
At least 30 days holiday annually
Twice-yearly in-person team retreats around the world
Experience Requirements:
Expert-level proficiency in TypeScript and React
Experience working with Effect and HTML Canvas
Familiarity using and customizing component libraries such as Material UI, Base UI or Ariakit
Working with type-safe styling systems like Panda
Experience with Rust is nice-to-have but not required
Other Requirements:
Interest in not only moving fast, but also in building performant solutions
Comfortable optimizing data structures and storage systems
Interested in pushing front-end web frameworks to their limits
Responsibilities:
Implement the majority of HASH's user-facing features
Write code on the frontend and backend
Ensure HASH responds to user needs and ships new functionality fast
Design modular components supporting use in third-party applications
Collaborate with UX/UI designers and company leadership
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Hardware Intern
Prepare for high-stakes job interviews with AI-powered mock sessions, real-time feedback, and role-specific practice rounds designed for students and professionals.
Responsibilities:
Engineering support
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Customer Support Engineer (Product / Technical Support)
Automate AEC project workflows with industry-specific AI for meeting minutes, field reports, and RFP reviews tailored for architects, engineers, and builders.
Benefits:
Fully remote
Three off-sites per year
Competitive pay and stock options
38 paid days off annually
Personal-development stipend
Experience Requirements:
6+ years experience
Experience debugging production issues using logs and metrics
Other Requirements:
Proficiency in SQL (PostgreSQL)
Familiarity with Python and React/JavaScript
Strong written communication
Bias for action and ownership
Responsibilities:
Field incoming support requests
Identify, reproduce, and help resolve bugs
Maintain observability and support tooling
Triage issues across backend, frontend, and mobile
Contribute documentation and code snippets
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Ex Technical Founder (Product Engineer)
Automate AEC project workflows with industry-specific AI for meeting minutes, field reports, and RFP reviews tailored for architects, engineers, and builders.
Benefits:
Fully remote
Three offsites per year
38 paid days off
Competitive salary + generous equity
Personal development stipend
Experience Requirements:
3+ years building production software
Founded or co-founded a tech company
Other Requirements:
Proficiency in Python, React, and React Native
Power user of AI tools (Claude Code, Cursor, Codex)
Comfortable in cloud ops, CI pipelines, and mobile
Can explain technical trade-offs to non-engineers
Responsibilities:
Talk to customers and understand requirements
Decide what to build and ship product
Measure feature success
Design and own features end-to-end
Write production-grade backend and frontend code
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Audio ML Data Engineer
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Benefits:
Competitive salary package
Stock options
Dynamic, fast-paced environment
High impact
Ownership & autonomy
Experience Requirements:
Deep experience working with speech and audio data in ML contexts
Strong understanding of voice AI pipelines (speech enhancement, VAD, STT, etc.)
Proven experience building, curating, and maintaining datasets
Experience designing evaluation protocols and test scenarios
Proficient in Python and modern software development workflows
Other Requirements:
Hands-on and startup mindset
Understanding of audio signal processing (room acoustics, reverberation, noise)
Ability to work on-site in Berlin
Responsibilities:
Own the lifecycle of speech and audio ML datasets
Design and generate synthetic and semi-synthetic datasets
Design and maintain evaluation protocols and test scenarios
Build tooling for evaluation and diagnostics
Translate model failures into improvements in data or tooling
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Audio Data Infrastructure Engineer
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Benefits:
Competitive salary package
Stock options
Opportunity to work at a rapidly growing Voice AI startup
Dynamic, fast-paced culture
High impact and ownership
Experience Requirements:
3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems
Deep experience with PostgreSQL at scale (schema design, partitioning, indexing)
Experience building and operating reliable ETL pipelines (Airflow, Prefect, etc.)
Strong Python engineering skills (async, multiprocessing)
Experience processing very large datasets (TB-scale)
Other Requirements:
Practical familiarity with audio data as a modality
Experience running ML inference pipelines at scale
Startup mindset
Ability to work on-site in Berlin
Responsibilities:
Architect and maintain a large-scale PostgreSQL database
Design scalable ingestion pipelines for audio data
Build distributed compute pipelines for ML inference
Design and maintain efficient metadata storage
Optimize ETL/ELT pipelines for performance and reliability
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