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HiBob

HRIS platform for onboarding and payroll

Pre-Sales Solution Architect

Pre-Sales Solution EngineeringPosted on Nov 10
Full-timeRemote in UKNo salary listed

About the Job

Requirements

  • Relevant experience in technical pre-sales, solution architecture, Sales Engineering, or a related customer-facing technical role within B2B SaaS.
  • Ability to lead technical discovery, influence stakeholders, and connect architecture recommendations to business outcomes.
  • Hands-on experience with APIs, JSON, webhooks, and enterprise integrations, including troubleshooting authentication and data flows.
  • Enjoy investigating unfamiliar technology, asking questions, testing ideas, and providing examples of learning and applying new knowledge to real problems.
  • Practical understanding of AI tools or workflows, including their potential, limitations, and use of business data; familiarity with Model Context Protocol (MCP) and willingness to deepen knowledge.
  • Ability to use API tools, automation platforms, or lightweight scripting to validate solution concepts while considering identity, access controls, and sensitive data.
  • Ability to explain complex ideas clearly to technical and business audiences, collaborate in problem-solving, take ownership, and share learning.

Responsibilities

  • Partner with Account Executives and Sales Engineers to lead technical discovery, uncover business priorities, and guide customers through complex architecture decisions.
  • Design and validate practical solutions, resolve technical blockers, and provide implementation teams a clear handoff of agreed designs and requirements.
  • Design integration solutions across Bob and the wider customer ecosystem using APIs, webhooks, identity services, and automation platforms.
  • Help customers explore how trusted people data, including roles, reporting relationships, skills, and organizational structure, can provide context for AI applications and workflows.
  • Build focused demonstrations and prototypes to test ideas, including connecting AI tools with enterprise systems through Model Context Protocol (MCP).
  • Help customers navigate security, privacy, permissions, and data quality, with particular care for sensitive employee information and responsible AI use.
  • Explain solution trade-offs and limitations clearly, distinguishing available capabilities from prototypes and future possibilities.
  • Investigate emerging AI concepts and technologies, test their practical value, and share useful discoveries with the broader Sales Engineering team.
  • Turn discoveries into reusable demonstrations, reference architectures, and practical enablement for colleagues.
  • Bring customer insights to Product and Engineering to inform APIs, integrations, and AI capabilities.
  • Collaborate with partners and Product Marketing to validate joint solutions and communicate clearly what customers can achieve.

Desired Qualifications

  • Experience with HR, payroll, finance, or related systems, and appreciation for how people data and organizational context shape effective solutions.
  • Experience prototyping AI integrations, working with Model Context Protocol (MCP), or using integration and workflow automation platforms.
  • Experience creating reusable technical assets, enabling field teams, or developing solutions with technology partners.

About the Company

HiBob

HRIS platform for onboarding and payroll

HiBob is a cloud-based HRIS platform that offers Bob, a suite of HR tools including time and attendance, onboarding, payroll, compensation, performance, and analytics to manage a global workforce. It works as a subscription SaaS accessed via web or mobile, and it integrates with tools like Slack and Microsoft Teams to streamline workflows such as time-off requests and reviews. It differentiates itself by serving fast-growing, globally distributed teams with a user-friendly, single platform that emphasizes employee experience and strong remote-work capabilities. Its goal is to help modern organizations optimize HR operations, boost productivity and engagement, and simplify people management as teams scale.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$881M
Headquarters
New York City, New York
Founded
2015

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