Senior Solutions Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Engineer based in Canada.The Senior Solutions Engineer will serve as a technical expert, designing and delivering innovative solutions for complex customer and partner challenges. In this role, you will help organizations maximize the value of an enterprise SaaS platform focused on organizational design, workforce planning, and transformation. You will lead solution development from initial discovery and requirements gathering through implementation, deployment, and early adoption. Working closely with Product Management, Engineering, Partner Success, and Customer Experience teams, you will help translate business needs into scalable technical capabilities. You will also contribute to platform innovation by identifying emerging market needs and leveraging AI tools to improve solution development and delivery. This is an opportunity to combine technical expertise, commercial awareness, and strategic collaboration in a fast-growing HR technology environment.Accountabilities
Responsibilities
As a senior technical specialist, you will lead complex solution initiatives, strengthen partner relationships, and contribute to the continuous evolution of the platform. Your responsibilities will include:Act as a senior technical subject matter expert, providing guidance and resolving complex challenges related to the platform.Build trusted relationships with partners and internal stakeholders to understand business requirements and identify opportunities for tailored solutions.Lead the discovery, design, development, and delivery of custom solutions, platform content, and technical capabilities, from initial requirements through deployment and early adoption.Identify emerging customer and market needs, translating them into scalable solution concepts and recommending new capabilities that enhance customer value.Collaborate with Product Management, Engineering, Partner Success, and Customer Experience teams to share feedback, recommend platform improvements, and support continuous innovation.Create and maintain technical documentation, configuration guidance, deployment materials, best practices, and reusable solution assets.Leverage large language model (LLM) tools to accelerate research, solution design, configuration, coding, and documentation, while validating the accuracy and relevance of generated outputs.Develop and maintain LLM skill files that capture platform expertise, solution patterns, and implementation guidance for use through the MCP server.Mentor other Solutions Engineers and provide technical guidance and enablement to Partner Success, Technical Account Management, and Customer Experience teams.Support proof-of-concept initiatives, pilot programs, and strategic customer projects.Requirements
The ideal candidate combines strong technical and programming capabilities with enterprise solution design experience, consulting expertise, and a passion for innovation. The following qualifications are expected:Significant experience working with the relevant enterprise SaaS platform or comparable enterprise software solutions.Strong background in solution design, technical consulting, and problem-solving, with experience leading complex solution development or implementation projects.Solid programming skills, particularly in JavaScript, with Python or similar technologies considered an advantage.Practical experience using LLM tools in technical or consulting workflows, including writing clear instructions and examples, testing performance, evaluating outputs, and improving results.Strong understanding of data structures, data management, analytics, and modeling concepts.Proven ability to gather, analyze, and translate business requirements into effective technical solutions.Excellent stakeholder management, communication, and presentation skills, including experience presenting technical solutions and recommendations to customers, partners, and senior stakeholders.Ability to work independently while collaborating effectively with cross-functional teams, particularly Product, Engineering, and Customer Experience.A strong interest in technology, continuous learning, and using innovation to create measurable customer value.Benefits
Flexible hybrid or remote working arrangements, depending on your preference.25 days of paid annual leave.Group Registered Retirement Savings Plan (RRSP), with employer matching contributions of up to 5% of base salary.Additional employer contributions to the Canada Pension Plan.Fully covered healthcare premiums, including dependent and family coverage.Life assurance and workers’ compensation insurance.Employee Assistance Programme, including access to counselling support.Monthly contribution toward mobile phone and internet expenses.How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best!Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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