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Squirro
Squirro
51 – 200 Employees
Artificial IntelligenceEnterpriseFintech
Squirro develops enterprise generative AI software for search, workflow automation, and knowledge management. Its platform combines insight engines, data classification, and integrations with tools such as Confluence, SharePoint, and Salesforce to help organizations organize information and support decisions across risk, service, and sales management. Founded in 2013, Squirro operates at the intersection of artificial intelligence, enterprise software, and fintech, with a focus on secure, privacy-conscious solutions for business teams.
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Senior Solutions Architect – Europe (Remote) | Squirro

Lead technical sales and solution architecture for Squirro’s secure enterprise AI platform. Design GenAI, search, and workflow solutions for regulated customers across EMEA and APAC.

EUEuropean UnionRemoteFull-timeMiddleSeniorEnglish RequiredSolutions Engineer
CloudElasticSearchKubernetesPythonSQL

Description

  • Run discovery workshops with prospects to uncover business pain points, processes, and obstacles
  • Map current and target states with customers, translating business goals into solution architectures
  • Define architectures, timelines, deliverables, success measures, and effort estimates with customers
  • Confirm solution feasibility in collaboration with project managers and engineers
  • Capture findings in Statements of Work and project-scoping templates
  • Lead the technical win strategy for assigned accounts
  • Present and demonstrate Squirro’s enterprise AI platform through tailored sessions
  • Define and deliver proofs of concept using customer data
  • Prepare data, configure solutions, and build prototypes aligned with customer success criteria
  • Resolve technical questions and contribute to RFP and RFI responses
  • Respond to concerns from architects, CISOs, and IT leaders
  • Work with Account Executives from qualification through deal completion
  • Manage the presales-to-delivery transition and serve as the architectural contact during implementation
  • Guide post-launch architecture improvements and identify expansion opportunities
  • Relay customer insights to Product and Engineering teams
  • Create and maintain reusable presales resources, including demo environments, RFP libraries, PoC playbooks, scoping calculators, and SOW templates
  • Participate in retrospectives and continuous feedback cycles
  • Train Account Executives and partners on technical positioning while sharing proven practices

Requirements

  • At least four years of experience in technical consulting, solution engineering, data science, data engineering, or software development
  • Professional experience in a client-facing technical sales or consulting position
  • Ability to explain complex technical solutions to both technical and non-technical audiences
  • Consultative approach with strong workshop facilitation capabilities
  • Practical experience building or deploying LLM and RAG solutions
  • Understanding of embeddings, hybrid retrieval, prompt design, grounding, and permission-aware enterprise search
  • Experience with taxonomies, knowledge graphs, Elasticsearch, or OpenSearch is advantageous
  • Proficiency in Python and SQL for data preparation and prototyping
  • Experience working with REST APIs and enterprise connectors such as SharePoint, Confluence, and databases
  • Knowledge of authentication technologies including OIDC, SAML, and Active Directory
  • Understanding of cloud platforms, Kubernetes, and on-premises or air-gapped deployments
  • Confidence defending technical architecture before a CISO
  • Experience in financial services, government, or manufacturing is preferred
  • Fluent English communication skills
  • Additional language skills are preferred, especially Chinese, Arabic, German, French, or Italian
  • Degree in Computer Science, Data Science, Machine Learning, or a related technical field
  • Residence in the European Union

Benefits

  • Ownership of the technical win across customer accounts
  • Opportunity to work on advanced AI and enterprise search challenges
  • Collaboration with experienced engineering teams
  • Agile, startup-style environment with fast decision-making
  • Ongoing feedback and development conversations
  • Opportunities for continuous learning
  • Support for individual professional growth
  • Ability to shape the product and company through your ideas
  • Meaningful work with leading organizations

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