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Squirro Jobs (NOW HIRING)

Extend the Squirro platform with custom backend components using Python and Bash, develop integrations, and support REST API implementations. * Search, AI & Data Engineering: Implement and optimize ...

Extend the Squirro platform with custom backend components using Python and Bash, develop integrations, and support REST API implementations. * Search, AI & Data Engineering : Implement and optimize ...

Squirro powers agentic AI applications that are grounded in the organization's unique enterprise ontology. Further information about AI-driven business insights can be found at:

Extend the Squirro platform with custom backend components using Python and Bash, develop integrations, and support REST API implementations. * Search, AI & Data Engineering:Implement and optimize ...

Squirro powers agentic AI applications that are grounded in the organization's unique enterprise ontology. Further information about AI-driven business insights can be found at:

Squirro powers agentic AI applications that are grounded in the organization's unique enterprise ontology. Further information about AI-driven business insights can be found at:

... SQUIRRO/Social Media content, API extensions, etc Use of complex QlikView functions and developing most optimal scripts for a given solution Optimization of Dimensional data model for performance ...

... SQUIRRO/Social Media content, API extensions, etc Use of complex QlikView functions and developing most optimal scripts for a given solution Optimization of Dimensional data model for performance ...

Squirro information

What is a Squirro?

Squirro is not a traditional job title; rather, it refers to a role focused on using the Squirro platform—a leading augmented intelligence solution. Professionals working with Squirro typically help organizations leverage AI-driven insights from unstructured data, integrating information from multiple sources to improve decision-making. Responsibilities may include data analysis, solution customization, and supporting business intelligence initiatives. People in this role often have expertise in data science, machine learning, and business analytics.

What are the key skills and qualifications needed to thrive as a Squirro?

To thrive in a Squirro-related role, you need strong skills in data analysis, machine learning, and business intelligence, typically supported by a degree in computer science, data science, or a related field. Familiarity with the Squirro platform, APIs, data integration tools, and certifications in data analytics or AI are often required. Effective communication, problem-solving, and adaptability are essential soft skills for translating complex data insights into actionable business solutions. These skills are crucial for leveraging Squirro's capabilities to drive informed decision-making and deliver measurable value to organizations.

What are the main challenges faced by Squirro solution engineers when implementing AI-driven insights platforms for clients?

Squirro Solution Engineers often encounter challenges related to integrating the AI-driven insights platform with clients’ existing data sources and legacy systems. Ensuring data quality and consistency across disparate sources is a common hurdle, as is customizing solutions to align with specific business needs and compliance requirements. Additionally, Solution Engineers must work closely with client stakeholders and cross-functional teams to manage expectations, drive user adoption, and troubleshoot technical issues, making strong communication and project management skills essential for success in this role.

What is the difference between Squirro vs Data Analyst?

AspectSquirroData Analyst
Primary RoleDevelops and implements AI-driven insights and data solutionsAnalyzes data to identify trends and support decision-making
Required SkillsData science, AI, machine learning, data engineeringData analysis, SQL, statistics, visualization tools
Work EnvironmentTech companies, data-driven organizations, consultingBusiness, finance, marketing, healthcare sectors
CertificationsData science, AI certifications, programming skillsData analysis, SQL, Excel certifications

While Squirro focuses on building AI-powered data solutions and insights, Data Analysts primarily interpret existing data to inform business decisions. Both roles require strong analytical skills, but Squirro emphasizes AI and data engineering, whereas Data Analysts focus on data visualization and reporting.

What cities are hiring for Squirro jobs?

Cities with the most Squirro job openings:

What states have the most Squirro jobs?

States with the most job openings for Squirro jobs include:

Infographic showing various Squirro job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Physical job distribution.

Solutions Engineer

Squirro

Manhattan, NY • On-site

Full-time

Re-posted 4 hours ago


Job description

We are looking for a Senior Solutions Engineer specialising in Search and GenAI to join our global Delivery team, supporting enterprise customers in deploying, customizing, and operating Squirro's AI-powered search and insights platform.
What You'll Do
As a Solutions Engineer, you will work closely with customers, partners, and internal teams to implement and support AI-driven search and insights solutions across enterprise environments. In this role, you will combine technical expertise, customer interaction, and solution engineering to deliver scalable AI and search solutions that create measurable business value.
  • Client Engagement & Solution Delivery: Work with customers and partners throughout solution qualification, implementation, deployment, and support phases, ensuring successful delivery and adoption of Squirro solutions.
  • Solution Design & Technical Consulting: Collaborate with business and engineering stakeholders to translate customer requirements into scalable technical solutions that meet business expectations.
  • Platform Customization & Development: Extend the Squirro platform with custom backend components using Python and Bash, develop integrations, and support REST API implementations.
  • Search, AI & Data Engineering: Implement and optimize enterprise search solutions using Elasticsearch, AI/LLM integrations, Agentic Workflows, and modern AI tooling to improve relevance, automation, and insights generation.
  • Infrastructure & Deployment: Deploy and manage solutions within Linux and hybrid infrastructure environments, using tools such as Ansible and microservices-based architectures.
  • Documentation & Cross-functional Collaboration: Maintain technical documentation, contribute to knowledge sharing, and collaborate with engineering teams on product improvements and customer-driven feature requirements.

What You Bring
As our customer base continues to grow, we're looking for a hands-on Solutions Engineer who is comfortable operating at both strategic and technical levels. You will support the Delivery team in implementing scalable AI, search, and data solutions for enterprise customers.
  • Strong Python experience
  • Experience working in technical consulting, software engineering, or DevOps roles
  • Experience in customer-facing technical environments
  • Experience deploying and supporting Linux-based systems
  • Experience with Elasticsearch in production environments, including relevancy tuning and search optimization
  • Familiarity with LLMs, Agentic Workflows, and AI integration patterns
  • Experience with REST APIs, backend development, and third-party integrations
  • Experience with databases such as Postgres, MySQL/MariaDB, or Redis
  • Familiarity with microservices architectures and hybrid infrastructure deployments
  • Strong communication skills and ability to explain technical concepts to technical and non-technical audiences

Nice to have:
  • NLP and Machine Learning experience
  • Experience with Flask, FastAPI, React, or NGINX
  • Experience with infrastructure automation tools such as Ansible
  • Experience with project delivery in Agile or Waterfall environments

Tools You'll Use
You'll work with a modern engineering stack supporting AI, search, deployment, and enterprise integrations. Key technologies include:
  • Programming & Infrastructure: Python, JavaScript, GNU/Linux, Bash
  • AI & LLMs: OpenAI, Claude, Azure AI tooling, Agentic AI frameworks
  • Search & Data: Elasticsearch, Redis, Postgres/MySQL/MariaDB
  • Backend & Web: Flask, FastAPI, NGINX, REST APIs
  • Frontend: React
  • Collaboration & Delivery: Jira, Confluence, Git

Experience with these technologies is preferred but not mandatory - we value engineers who are curious, adaptable, and eager to learn.
Why Join Us
  • Drive growth in a dynamic, high-potential tech environment
  • Enjoy autonomy with our "freedom and responsibility" work approach
  • Collaborate with exceptional talent solving extraordinary challenges
  • Drive customer success and retention while working in a flexible, growth-focused environment
  • Make a strategic impact while having fun with awesome colleagues

About Squirro
Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. Squirro powers agentic AI applications that are grounded in the organization's unique enterprise ontology.
Further information about AI-driven business insights can be found at:
https://squirro.com/