Senior Solutions Engineer

About this role

Responsibilities

• Direct ownership of a critical growth lever: scaling technical pre-sales and implementation support through a high-performing solutions engineering team
• The opportunity to shape Remote Build’s product and engineering strategy, operating model, and standards
• A chance to build foundational programs (enablement, tooling, playbooks) that will scale across the organization
• Meaningful cross-functional work with Sales, Engineering, Solution Architecture, Product, Partnerships, CX, and Legal
• Build and scale a solutions engineering function to support sales and customer outcomes
• Define role profiles and coverage model (segments, regions, product lines)
• Establish a repeatable technical discovery and solution design process
• Set clear engagement models, roles/responsibilities, and success metrics
• Own executive relationships with key customer and internal stakeholders, with accountability for:
• Commercial impact (deal support, win rates, cycle time reduction, revenue influence)
• Technical quality (solution accuracy, implementation readiness, customer satisfaction, escalations, continuous improvement)
• Alignment to product vision (AI adoption, roadmap inputs, standardization)
• Contribute to a formal solutions engineering enablement and competency program
• Define levels, requirements, and maintenance criteria (training, assessments, quality metrics)
• Partner with Solution Architecture to codify technical standards, reference architectures, and best practices
• Ensure competencies are measurable, auditable, and scalable
• Contribute to the operating rhythm to manage and scale solutions engineering
• Business reviews / performance reviews with Sales and key stakeholders
• Clear escalation paths and incident learnings
• Reporting on team health, coverage, and capability gaps
• Helping define product lines and GTM strategies for Remote build
• Building ADRs and PRDs for potential products
• Identifying and abstracting solution spaces
• Putting AI at the forefront of everything we do
• Architect and implement AI agent workflows
• Translate business processes into agent-enabled workflows (intake, orchestration, guardrails, evaluation)
• Prototype with modern LLM tooling and iterate toward production-grade implementations
• Design human-in-the-loop patterns, escalation paths, and observability (quality, cost, latency)

Requirements

• Partner with Engineering and Product to ship secure, reliable agent capabilities (APIs, permissions, data access)
• Proven experience building and leading a solutions engineering (or equivalent) function, including hiring, onboarding, and performance management
• Strong executive stakeholder management skills (internal and external), with a track record of driving outcomes through influence
• Excellent cross-functional leadership and operational rigor: you can turn ambiguous goals into repeatable processes
• Strong written and verbal communication skills, including the ability to translate technical detail into executive-level narratives
• Hands-on experience designing, building, and shipping AI agent workflows (or adjacent automation/orchestration systems), with a pragmatic approach to safety, evaluation, and iteration
• Domain experience in HRTech, payroll, HCM, or adjacent industries
• Team: Solutions Engineering
• Location: Flexible (you’ll need to work effectively across multiple time zones with customers and internal teams)
• Start date: As soon as possible
• Interview with recruiter
• Interview with key stakeholders / cross-functional partners
• Interview with hiring manager
• Working session / case exercise (solution design, technical discovery, or team plan)
• Bar Raiser Interview
• Prior employment verification check
• work from anywhere
• flexible paid time off
• flexible working hours (we are async)
• 16 weeks paid parental leave
• mental health support services
• stock options
• learning budget
• home office budget & IT equipment
• budget for local in-person social events or co-working spaces
• Please fill out the form below and upload your CV with a PDF format.
• We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
• If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

About Remotecom

Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! The position This is an exciting time to join Remote and make a personal difference in the global employment space as a Senior Solutions Engineering within our Remote Build organization. As Remote expands its business, our customers and partners have increasingly complex pre-sales and implementation needs. In this role, you will be responsible for building and scaling Remote Build’s solutions engineering function, ensuring high-quality technical discovery, strong commercial outcomes, and tight alignment with Remote’s product vision — including architecting and implementing AI agent workflows that help customers and internal teams automate and scale how work gets done. What this job can offer you Direct ownership of a critical growth lever: scaling technical pre-sales and implementation support through a high-performing solutions engineering team The opportunity to shape Remote Build’s product and engineering strategy, operating model, and standards A chance to build foundational programs (enablement, tooling, playbooks) that will scale across the organization Meaningful cross-functional work with Sales, Engineering, Solution Architecture, Product, Partnerships, CX, and Legal What will you be doing Build and scale a solutions engineering function to support sales and customer outcomes Define role profiles and coverage model (segments, regions, product lines) Establish a repeatable technical discovery and solution design process Set clear engagement models, roles/responsibilities, and success metrics Own executive relationships with key customer and internal stakeholders, with accountability for: Commercial impact (deal support, win rates, cycle time reduction, revenue influence) Technical quality (solution accuracy, implementation readiness, customer satisfaction, escalations, continuous improvement) Alignment to product vision (AI adoption, roadmap inputs, standardization) Contribute to a formal solutions engineering enablement and competency program Define levels, requirements, and maintenance criteria (training, assessments, quality metrics) Partner with Solution Architecture to codify technical standards, reference architectures, and best practices Ensure competencies are measurable, auditable, and scalable Contribute to the operating rhythm to manage and scale solutions engineering Business reviews / performance reviews with Sales and key stakeholders Clear escalation paths and incident learnings Reporting on team health, coverage, and capability gaps Helping define product lines and GTM strategies for Remote build Building ADRs and PRDs for potential products Identifying and abstracting solution spaces Putting AI at the forefront of everything we do Architect and implement AI agent workflows Translate business processes into agent-enabled workflows (intake, orchestration, guardrails, evaluation) Prototype with modern LLM tooling and iterate toward production-grade implementations Design human-in-the-loop patterns, escalation paths, and observability (quality, cost, latency) Partner with Engineering and Product to ship secure, reliable agent capabilities (APIs, permissions, data access) What you bring Proven experience building and leading a solutions engineering (or equivalent) function, including hiring, onboarding, and performance management Strong executive stakeholder management skills (internal and external), with a track record of driving outcomes through influence Excellent cross-functional leadership and operational rigor: you can turn ambiguous goals into repeatable processes Strong written and verbal communication skills, including the ability to translate technical detail into executive-level narratives Hands-on experience designing, building, and shipping AI agent workflows (or adjacent automation/orchestration systems), with a pragmatic approach to safety, evaluation, and iteration Domain experience in HRTech, payroll, HCM, or adjacent industries Practicals Team: Solutions Engineering Location: Flexible (you’ll need to work effectively across multiple time zones with customers and internal teams) Start date: As soon as possible Application process Interview with recruiter Interview with key stakeholders / cross-functional partners Interview with hiring manager Working session / case exercise (solution design, technical discovery, or team plan) Bar Raiser Interview Prior employment verification check Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is €80.000—€120.000 EUR