
51 - 200 employees
Founded 2013
đ€ Artificial Intelligence
đą Enterprise
đł Fintech
Artificial Intelligence âą Enterprise âą Fintech
Squirro is a company that specializes in providing enterprise-grade generative AI solutions for organizations. They offer a robust platform featuring AI capabilities designed to enhance enterprise search, workflow automation, and knowledge management. Squirro's solutions involve privacy and security measures, leveraging components like insight engines, data classification, and connectors for popular platforms such as Confluence, SharePoint, and Salesforce. Their products aim to streamline processes, enhance decision-making, and improve productivity across various business functions, including risk management, service management, and sales management. Squirro is recognized as an innovative player in the AI and FinTech sectors and is featured in Gartner's 2024 Market Guide for Conversational AI Platforms and the AI FinTech100 Awards.
đ„ 14 hours ago
đȘđș Europe â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ» Solutions Engineer
đ» Ghost score 10%
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51 - 200 employees
Founded 2013
đ€ Artificial Intelligence
đą Enterprise
đł Fintech
Artificial Intelligence âą Enterprise âą Fintech
Squirro is a company that specializes in providing enterprise-grade generative AI solutions for organizations. They offer a robust platform featuring AI capabilities designed to enhance enterprise search, workflow automation, and knowledge management. Squirro's solutions involve privacy and security measures, leveraging components like insight engines, data classification, and connectors for popular platforms such as Confluence, SharePoint, and Salesforce. Their products aim to streamline processes, enhance decision-making, and improve productivity across various business functions, including risk management, service management, and sales management. Squirro is recognized as an innovative player in the AI and FinTech sectors and is featured in Gartner's 2024 Market Guide for Conversational AI Platforms and the AI FinTech100 Awards.
âą Lead discovery workshops with prospects to identify pain points, processes, and blockers âą Define As-Is and To-Be states with customers and translate business objectives into solution architecture âą Scope architecture, timelines, deliverables, success criteria, and effort estimates with customers âą Validate feasibility with project managers and engineers âą Document findings in Statements of Work and project scoping templates âą Own technical win strategy for accounts âą Demonstrate Squirroâs enterprise AI platform through tailored presentations and demos âą Scope and run Proof-of-Concepts on client data âą Prepare data, configure solutions, and prototype against customer success criteria âą Answer technical questions and respond to RfPs and RfIs âą Address objections from architects, CISOs, and IT leadership âą Partner with Account Executives from qualification through deal closure âą Own presales-to-delivery handover and remain the architectural point of contact during implementation âą Support post-go-live architecture evolution and expansion opportunities âą Channel customer feedback into Product and Engineering âą Build and maintain reusable presales assets, including demo environments, RfP answer libraries, PoC playbooks, scoping calculators, and SOW templates âą Contribute to retrospectives and feedback loops âą Enable Account Executives and partners on technical positioning and share best practices
âą 4+ years of experience in technical consulting, solution engineering, data science, data engineering, or software development âą Client-facing experience in a technical sales or consulting role âą Experience explaining complex solutions to technical and non-technical audiences âą Consulting mindset and workshop facilitation skills âą Hands-on experience building or deploying LLM/RAG solutions âą Understanding of embeddings, hybrid retrieval, prompt design, grounding, and permissions-aware enterprise search âą Experience with taxonomies and knowledge graphs, or Elasticsearch/OpenSearch, is a plus âą Proficiency with Python and SQL for data preparation and prototyping âą Experience with REST APIs and enterprise connectors including SharePoint, Confluence, and databases âą Knowledge of authentication including OIDC, SAML, and AD âą Understanding of cloud, Kubernetes, and on-premises or air-gapped deployments âą Ability to defend architecture in front of a CISO âą Industry experience in Financial Services, Government, or Manufacturing is preferred âą Fluency in English âą Additional languages preferred, particularly Chinese, Arabic, German, French, or Italian âą A degree in Computer Science, Data Science, Machine Learning, or a related technical discipline âą Based in the EU
âą Ownership of the technical win on accounts âą Exposure to cutting-edge AI and search problems âą Work alongside experienced engineers âą Agile, startup-like culture with quick decision-making âą Continuous feedback âą Lifelong learning âą Support for personal growth âą Opportunity to contribute ideas âą Impact working with leading organizations
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