
51 - 200 Mitarbeiter
Ottimate ist ein Technologieunternehmen, das sich auf die Automatisierung der Kreditorenbuchhaltung (AP) spezialisiert hat. Mit seinen KI-gestützten Lösungen optimiert Ottimate den gesamten AP-Prozess von der Rechnungszuordnung und -weiterleitung bis hin zu Zahlungen, wodurch Unternehmen Zeit sparen und Fehler reduzieren. Es integriert sich nahtlos in verschiedene Buchhaltungssysteme und bietet Echtzeit-Einblicke in Ausgaben und Compliance mit Finanzrichtlinien. Die Plattform ist darauf ausgelegt, die Effizienz für Finanzfachleute zu steigern und Organisationen zu ermöglichen, sich auf strategische Entscheidungen und die Optimierung ihrer Geschäftsabläufe zu konzentrieren.
🕒 vor 5 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
Ottimate ist ein Technologieunternehmen, das sich auf die Automatisierung der Kreditorenbuchhaltung (AP) spezialisiert hat. Mit seinen KI-gestützten Lösungen optimiert Ottimate den gesamten AP-Prozess von der Rechnungszuordnung und -weiterleitung bis hin zu Zahlungen, wodurch Unternehmen Zeit sparen und Fehler reduzieren. Es integriert sich nahtlos in verschiedene Buchhaltungssysteme und bietet Echtzeit-Einblicke in Ausgaben und Compliance mit Finanzrichtlinien. Die Plattform ist darauf ausgelegt, die Effizienz für Finanzfachleute zu steigern und Organisationen zu ermöglichen, sich auf strategische Entscheidungen und die Optimierung ihrer Geschäftsabläufe zu konzentrieren.
• Architect and ship production AI/ML systems — you write code, not just review it • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery • Set technical standards for model quality, evals, observability, and reliability • Drive adoption of agentic coding tools to multiply team velocity • Claude Code, Cursor, Copilot, or equivalent — measure and improve PR throughput • Partner with Platform Engineering on infrastructure, data pipelines, and APIs • Manage a distributed team of 8–10 engineers across Data and ML disciplines • Hire, develop, and retain engineers at all levels; build a high-trust remote culture • Partner with Product on roadmap sequencing and scope trade-offs • Work directly with customer-facing teams to close feedback loops on model quality • Communicate AI capabilities and limitations clearly to non-technical stakeholders • Own model performance metrics and drive continuous improvement pipelines • Build and maintain evals frameworks — regression suites, human review, A/B testing • Oversee training data collection, curation, and labeling operations • Manage the full ML lifecycle: experimentation, deployment, monitoring, iteration • Define and enforce quality bars for agentic workflows entering production
• Production agentic pipelines using frontier models • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration • Reliable agent loop design — planning, memory, tool execution, error recovery • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking • Evals frameworks built from scratch — correctness, regression, semantic similarity • Observability for production AI — tracing, cost tracking, latency, failure analysis • Fine-tuning frontier or open-source models for domain-specific tasks • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls • Training data collection, curation, cleaning, and labeling at scale • LLM inference and serving optimization • vLLM, TGI, or equivalent • Model selection trade-offs — cost, latency, capability, context window • Hands-on Python — comfortable writing, reviewing, and shipping production code • PostgreSQL — schema design, query optimization, indexing strategies • Distributed systems — async workers, queues, retries, state machines • Celery or similar async task frameworks is a bonus • Public-facing API design — REST, versioning, developer experience • MCP server development — tool-accessible APIs for AI agent integration • AWS or cloud infrastructure — enough to own AI workload deployments • Engineering Manager ready for director-level ownership • Has led technical teams at a startup or growth-stage company — knows how to move fast • Hands-on contributor who has also managed small high performance teams. • Comfortable owning outcomes • Exceptional AI engineering skills are the primary bar. We will teach the domain.
• Compensation: 200,000-225,000 + 15% Annual Bonus + Equity • Competitive salary based on skills & experience. • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family. • Employer sponsored 401(k) with company match. • Paid Time Off (and the encouragement to use it). • Annual company retreats. • Promote from within philosophy. • You will be part of a growing team, at a pinnacle moment of scale for the business, and experience the excitement of working in a startup where each action makes a huge difference. • You will have the agency to solve difficult problems creatively, the freedom to explore work that inspires you, and infrastructure to ensure you're constantly challenged and developing. • You will work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution. • Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note. • We are transforming entire industries using innovative technology including Artificial Intelligence, Payment Tech, and Neural Networks. • Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth. • We truly love what we do and who we do it with - and we think you will too!
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