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Perk

AI Systems Analyst

Perk

. Design, build, and maintain multi-step AI agents using Python and LLM APIs to automate research, qualification, routing, and decision-making .

Posted 9/15/2026full-timeBarcelona • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and maintaining multi-step AI agents using Python and LLM APIs, with a strong focus on system design, data quality, and integration with Salesforce. Proven ability to translate business challenges into effective technical solutions while ensuring robust production systems in a B2B SaaS environment.

Highest-signal resume keywords
Python Engineering FundamentalsMulti-Step AI Agent DevelopmentSalesforce ProficiencyAPI Integration and Automation ToolingSystem Design and Observability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonLLM APIsAPI IntegrationWebhooksEvent-Driven FlowsData PipelinesError HandlingTestingVersion ControlSystem Design
Soft Skills
Problem SolvingCollaborationCommunication
Tools & Technologies
SalesforceMakeN8nZapierClaudeOpenAIClayOutreachGongApollo
Industry Keywords
B2B SaaSAutomationGTM ToolingConversation IntelligenceSignal-Based Systems

Tech Stack

Tools & technologies
ApolloPython

About the role

Key responsibilities & impact
  • Design, build, and maintain multi-step AI agents using Python and LLM APIs to automate research, qualification, routing, and decision-making
  • Architect robust production agent systems with error handling, observability, and graceful degradation
  • Build reusable agent frameworks, shared abstractions, tooling patterns, and integration modules
  • Evaluate emerging agentic tooling and recommend when to build versus buy
  • Build and maintain data pipelines connecting Salesforce, outbound tools, enrichment providers, and internal systems
  • Engineer API integrations, webhook triggers, and event-based flows using Python, Make, and equivalent automation tooling
  • Own schemas, data quality, and monitoring for the AI decision-making data layer
  • Integrate deeply with Salesforce custom objects, flows, and automation
  • Partner with GTM leadership to identify manual work suitable for intelligent automation
  • Translate business problems into scoped agent systems with realistic timelines and trade-offs
  • Build interfaces providing non-technical teams visibility into agent activity and output confidence
  • Diagnose and resolve production failures to minimise disruption to selling time
  • Set engineering standards covering version control, documentation, testing, and deployment hygiene
  • Share frameworks, code, and learnings with the GTM Engineering team
  • Provide roadmap feedback on automation performance, brittleness, and the role of human judgment

Requirements

What you’ll need
  • 5+ years in a technical role building production systems in a B2B SaaS environment
  • Hands-on experience building multi-step AI agents using Python and LLM APIs such as Claude or OpenAI in production
  • Strong Python engineering fundamentals; ability to build clean, maintainable, testable code
  • Experience integrating APIs, webhooks, and event-driven flows using Make, n8n, Zapier, or equivalent automation tooling alongside custom Python solutions
  • Salesforce proficiency at the configuration layer, including custom objects, flows, reporting, and data integrity logic
  • Track record of translating ambiguous business problems into scoped, delivered technical solutions
  • Strong system design instincts; ability to build observable and recoverable systems
  • Experience designing agent frameworks or shared infrastructure patterns is a strong advantage
  • Familiarity with Clay, Outreach, Gong, Apollo, and the GTM tooling landscape is a strong advantage
  • Exposure to conversation intelligence platforms and using call data in automated workflows is a strong advantage
  • Experience in a high-growth SaaS environment is a strong advantage
  • Prior work on signal-based systems using hiring data, funding triggers, intent signals, or similar event streams is a strong advantage
  • Must be based within commuting distance of a Perk hub
  • English is the official office language; resume should be submitted in English

Benefits

Comp & perks
  • Competitive compensation and equity ownership in Perk
  • Generous allocation of vacation days plus public holidays
  • Choice of private healthcare or a gym allowance
  • Life Insurance
  • Perk events, including an annual summer party
  • Spring Health access to 12x therapy and 12x coaching sessions for the employee and loved ones
  • Flexible compensation plan
  • 17 weeks’ paid parental leave during the child’s first year
  • 16 paid hours per year for volunteering
  • Up to 20 “Work from Anywhere” days per year
  • In-person English, Spanish and Catalan lessons
  • Four-week, fully paid sabbatical after 5 years
  • Relocation support to one of the company hubs