
51 - 200 employees
âïž SaaS
⥠Productivity
đ€ Artificial Intelligence
SaaS âą Productivity âą Artificial Intelligence
Progress Partners is a technology company that designs, builds, launches, and scales next-generation SaaS and mobile platforms. They specialize in creating self-serve, globally scalable SaaS products across areas like AI tools, productivity and workflow tools, collaboration platforms, and marketing solutions. Progress Partners operates as a fully remote, multi-skilled product team focused on results, long-term scalability, data-driven decisions, and user adoption; their platforms serve millions of users every month across 160 countries.
đ„ 3 minutes ago
đȘđș Europe â Remote
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
đ» Ghost score 10%
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51 - 200 employees
âïž SaaS
⥠Productivity
đ€ Artificial Intelligence
SaaS âą Productivity âą Artificial Intelligence
Progress Partners is a technology company that designs, builds, launches, and scales next-generation SaaS and mobile platforms. They specialize in creating self-serve, globally scalable SaaS products across areas like AI tools, productivity and workflow tools, collaboration platforms, and marketing solutions. Progress Partners operates as a fully remote, multi-skilled product team focused on results, long-term scalability, data-driven decisions, and user adoption; their platforms serve millions of users every month across 160 countries.
âą Own the end-to-end quality of AI-powered product experiences âą Build evaluation frameworks and repeatable test sets to measure AI quality objectively âą Design and run experiments on prompts, context strategies, and model settings âą Connect AI changes to activation, conversion, retention, and satisfaction metrics âą Monitor and reduce AI-related costs including tokens, latency, model choice, and retrieval âą Translate AI failure patterns, hallucinations, inconsistent outputs, and weak reasoning into prioritized fixes âą Help Product, Growth, and Engineering understand user and business impact of AI changes âą Collaborate across the product lifecycle from design and build through launch and scale
âą 5+ years in software engineering, AI product engineering, ML engineering, or a related technical role âą 2+ years hands-on with LLMs, prompt engineering, or applied AI systems âą Proven experience improving AI features post-launch through analytics, experimentation, and structured evaluation âą Strong grasp of product analytics and funnel metrics âą Ability to diagnose whether AI quality issues stem from prompts, context, model limitations, UX, or data âą Strong written communication and ability to work autonomously in a remote, async environment âą Comfort working closely with Product, Growth, Design, Engineering, QA, and Analytics âą Comfort with ownership, transparency, and a results-driven mindset âą Experience with A/B testing frameworks, AI observability tools, or custom evaluation pipelines is nice to have âą Hands-on work with OpenAI, Anthropic, Gemini, AWS Bedrock, or similar LLM providers is nice to have âą Familiarity with RAG, embeddings, semantic search, or tool-calling architectures is nice to have âą Background in chatbot, assistant, content generation, or recommendation products is nice to have âą Strong professional English communication required by the application form âą Resume must be submitted in English
âą Remote-first: Live and work wherever you're happiest and most productive. No relocation, ever. âą Flexible hours: we measure outcomes, not time spent at a desk. âą Unlimited PTO âą Learning & development budget for courses, books, conferences, and certifications âą Home office & wellness allowance âą Small, senior, collaborative team where work is visible and decisions matter âą Opportunity to build products used by millions of people across 160+ countries
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đ„ Funding within the last year
đ° $12.5M Seed Round - MetalBear on 2025-09
â° Full Time
đĄ Mid-level
đ Senior
đ§âđ» Full-stack Engineer