Product Engineer (m/f/d) at Buying Labs Gmbh 1 (Closed)

Requirements

Additional Requirements

Experience with LLM tooling — provider APIs (Anthropic, OpenAI, Gemini), agent and tool-use patterns (MCP), and evaluating output quality.
Familiarity with vector search technologies (pgvector or similar).
Hands-on experience with product analytics and observability tools (e.g. PostHog, Sentry) to measure usage and drive adoption.
Experience integrating ERPs or operational systems (orders, inventory, master data).
Background in eCommerce, wholesale, or B2B platform environments.
Python for data tooling; Docker, GitHub Actions, AWS.

Your Profile

Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.
5–8 years of professional experience in software development with a strong product mindset
Strong experience with TypeScript and modern React. Backend experience with Node.js, Express or comparable, REST APIs, and PostgreSQL with practical SQL. For mostly building new applications on our modern stack (React 19, Vite, TypeScript, Bun) and occasionally working in an established JavaScript codebase.
Familiarity with modern AI/ML frameworks and agentic AI systems and solid skills in data modelling and building scalable system architectures.
Comfort operating in a dynamic, fast-paced environment with shifting priorities.
Hands-on experience building AI into products (structured extraction, automation, RAG, or agentic workflows), not just using AI coding assistants.
Strong engineering quality mindset, with experience building reliable, maintainable products and validating them through appropriate testing.
Strong product sense — you understand business processes and the user perspective, not just the code.
Strong communication skills and experience working with stakeholders at all levels and driving adoption of the solutions you build.
Proactive mindset with strong autonomy and initiative in a dynamic environment
Fluent English is required, German is a plus.

Why Us?

An awesome team & great vibes

Work with motivated colleagues in an agile, ambitious, and friendly atmosphere where collaboration and fun go hand in hand with high speed.

Flat hierarchies & real growth opportunities

Take ownership of your role and develop personally alongside the company. We promote from within and value every voice, regardless of seniority or title.

Public Sector Sales Lead Anthropic

Paris, France

Bachelor’s degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Product Engineer (m/f/d)

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