8 years of experience in product management or related technical role. Experience managing technical products or online services related to web services, online technology, and compute services.
Experience building partnerships or selling with partners. Experience expanding existing accounts, securing new customers, and accelerating consumption revenue.
5 years of experience in mission critical facility design and construction environments. 5 years of experience performing mechanical system analysis and utilizing engineering software packages for design and evaluation.
Role: Google Cloud ML Engineer- Vertex AI Dallas, Day1 Onsite In person needed Duration: 1+ year About The Role We seek an experienced developer to design, build, and deploy advanced Conversational AI/NLU solutions…
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Role: Google Cloud ML Engineer- Vertex AI Dallas, Day1 Onsite In person needed Duration: 1+ year About The Role We seek an experienced developer to design, build, and deploy advanced Conversational AI/NLU solutions Requirements Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK). Hands-on experience in developing NLP and GenAI Models on Vertex AI Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models.
Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert or GCP Certification Day 1 onsite in Dallas TX In person needed. Duration: 1+ year telecom Exp needed About The Role We seek an experienced…
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Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert or GCP Certification Day 1 onsite in Dallas TX In person needed. Duration: 1+ year telecom Exp needed About The Role We seek an experienced developer to design, build, and deploy advanced Conversational AI/NLU solutions Requirements Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK).
Experience in Generative AI as a user or a developer. About The Job As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s…
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Experience in Generative AI as a user or a developer. About The Job As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups.
Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay…
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Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.Minimum qualifications: Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, Site Reliability Engineering, or Development and Operations. 5 years of experience in a technical consulting, systems architecture, or sales engineering role, including experience presenting technical roadmaps to C-suite executives.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Austin, TX, USA; Boulder, CO, USA; Irvine, CA,…
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Austin, TX, USA; Boulder, CO, USA; Irvine, CA, USA; Los Angeles, CA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.Minimum qualifications: Bachelor's degree or equivalent practical experience. Experience in buildi...
Experience with commercial and legal negotiations, working with Procurement, Legal, and Business teams. Passion for building Greenfield territories; experience acquiring new logos and securing foundational workloads to…
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Experience with commercial and legal negotiations, working with Procurement, Legal, and Business teams. Passion for building Greenfield territories; experience acquiring new logos and securing foundational workloads to accelerate consumption business.
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
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Sponsored employers follow the same disclosure and pay rules.
Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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