At HiBob, we believe people are the driving force behind every successful business. Our mission is to transform how modern companies manage their most valuable asset: their people. We empower HR teams and managers with intuitive, data-driven tools to connect, engage, develop, and retain top talent, helping organizations build cultures of growth and excellence.

Be Your Authentic Self with Us
At HiBob, individuality is celebrated and diversity is embraced. We encourage you to bring your whole self to work, with the freedom and confidence to do your best work in a supportive, inclusive environment. Whether you’re analytical or creative, outspoken or thoughtful, we value what makes you unique and the perspective you bring.

About the Role
As a Pre-Sales Solution Architect at HiBob, you’ll help customers connect their people, technology, and business priorities. You’ll work with Sales Engineers, prospects and customers, Product, and Partners to explore complex questions, design practical solutions, and show what’s possible across the HiBob platform and its broader ecosystem. As AI changes how work gets done, you’ll help customers understand how “people context” can make connected systems and experiences more useful and valuable.
You’ll join a collaborative team that enjoys investigating unfamiliar technology, testing ideas, and sharing what we learn. There’s room to experiment, challenge assumptions, and have fun solving difficult problems together. You’ll bring technical depth and sound judgment, along with the curiosity to keep learning as the technology evolves.

• Relevant experience in technical pre-sales, solution architecture, Sales Engineering, or a related customer-facing technical role within B2B SaaS.
• Customer and commercial judgment: You can lead technical discovery, influence stakeholders, and connect architecture recommendations to business outcomes.
• Integration foundations: Hands-on experience with APIs, JSON, webhooks, and enterprise integrations, including troubleshooting authentication and data flows.
• Curiosity and a practical learning mindset: You enjoy investigating unfamiliar technology, asking good questions, and testing ideas. You can share examples of how you have learned something new and applied it to a real problem.
• Practical AI understanding: You have explored AI tools or workflows and can discuss their potential, limitations, and use of business data. You bring familiarity with MCP and a willingness to deepen your knowledge as the technology evolves.
• Resourcefulness and security awareness: You can use API tools, automation platforms, or lightweight scripting to validate a solution concept, while considering identity, access controls, and sensitive data.
• Communication and collaboration: You explain complex ideas clearly, adapt to technical and business audiences, and enjoy solving problems with others. You take ownership, share what you learn, and welcome different perspectives.

Additional Experience We Value

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

You don’t need to arrive knowing every emerging AI framework. We value strong technical foundations, thoughtful judgment, and the drive to keep learning together.

• Build customer confidence and drive revenue
• 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 give implementation teams a clear handoff of agreed designs and requirements.

Connect systems, AI, and people context

• 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 give AI applications and workflows the context they need to deliver relevant, useful outcomes.
• Build focused demonstrations and prototypes to test ideas, including opportunities to connect AI tools with enterprise systems through Model Context Protocol (MCP).

Apply sound technical judgment

• 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.

Explore, experiment, and share

• Investigate emerging AI concepts and technologies, test their practical value, and bring useful discoveries back to the broader SE team.
• Turn what you learn into reusable demonstrations, reference architectures, and practical enablement that help colleagues build confidence and solve customer problems.

Shape our platform and ecosystem

• 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 tell clear, credible stories about what customers can achieve.