Own technical and solution strategy throughout complex B2B SaaS sales cycles. Lead discovery, solution architecture, tailored demonstrations, technical evaluations, POCs, RFPs, security reviews, and integration discussions. Partner with Account Executives and internal teams to translate customer needs into measurable workplace outcomes. Use and validate AI tools for research, solution design, documentation, and workflow improvement while maintaining technical judgment and customer trust.
About OfficeSpace:
OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact.
About the role:
As a Solutions Consultant, you’ll shape how prospective customers understand, evaluate, and adopt OfficeSpace. You’ll partner with Account Executives to lead discovery, architect solutions, deliver compelling demonstrations, and guide complex technical evaluations across Corporate Real Estate, Facilities, IT, HR, and Workplace teams. You’ll turn business challenges and technical complexity into clear decisions and measurable outcomes. AI will accelerate how you research, prepare, design, and execute—but your judgment, storytelling, technical credibility, and ability to earn customer trust will make the difference.
What you’ll do:
- Own the technical and solution strategy across complex sales opportunities—from discovery through validation and close.
- Lead high-impact discovery that uncovers business problems, workflows, technical requirements, success criteria, decision drivers, and hidden risks.
- Translate customer needs into solution architectures that connect OfficeSpace capabilities to measurable workplace and business outcomes.
- Design and deliver tailored demonstrations that tell the customer’s story, adapt in real time, and make complex capabilities easy to understand.
- Lead technical evaluations and POCs with clear hypotheses, use cases, success criteria, dependencies, and decision paths.
- Navigate enterprise architecture conversations across APIs, webhooks, SSO, identity management, employee data, Microsoft 365, security, and related systems. Identify technical risks early.
- Partner with Product, Professional Services, Customer Success, Security, and other experts to build a credible path forward.
- Orchestrate AI tools and agents to accelerate account research, discovery preparation, demo planning, technical research, solution design, and first-draft customer deliverables.
- Verify AI-generated outputs before they influence customer recommendations, technical decisions, or external communications.
- Help customers separate practical AI opportunities from hype and connect emerging capabilities to real workplace outcomes.
- Lead complex RFPs, RFIs, security reviews, solution diagrams, technical documentation, and implementation assumptions—with AI handling repeatable synthesis and drafting where appropriate.
- Build reusable discovery frameworks, technical patterns, prompts, demo assets, and AI-enabled workflows that raise the performance of the broader Solutions Consulting team.
What you bring:
- 5+ years of experience in Solutions Consulting, Sales Engineering, Solution Engineering, or technical consulting in SaaS.
- Experience owning technical and solution strategy within complex B2B SaaS sales cycles.
- Strong discovery skills. You move beyond stated requirements to uncover the real business problem, technical constraints, decision criteria, and outcomes that matter.
- A track record of designing and delivering compelling software demonstrations for business, technical, and executive audiences.
- Strong technical aptitude across enterprise software, integrations, APIs, identity, data flows, security, and solution architecture.
- The ability to turn technical complexity into clear, relevant, outcome-driven recommendations.
- Hands-on fluency with generative AI, agentic AI, and LLM-based tools in professional workflows—including an understanding of their limitations and verification requirements.
- Strong AI orchestration skills. You can define an objective, provide the right context, structure an AI workflow, evaluate its output, verify critical claims, and decide where human judgment must take over.
- The judgment to distinguish high-value AI applications from automation that creates unnecessary risk or complexity.
- Strong written, verbal, presentation, and storytelling skills.
- The ability to manage multiple opportunities without losing rigor, context, or customer trust.
- A consultative mindset and the credibility to work across end users, technical teams, business leaders, and executives.
- Experience with IWMS, workplace technology, enterprise integrations, POCs, RFPs, or technical evaluations is valuable.
- Familiarity with GraphQL APIs, webhooks, SSO/SAML, SCIM, Microsoft 365, SaaS security and privacy concepts, AI agents, or prompt design is a plus.
Why OfficeSpace?
- High-Performance Culture: At OfficeSpace, we believe in the power of accountability, focus, and drive. Our A-Player team members work together to deliver measurable, meaningful results. We recognize and reward those who push boundaries and achieve excellence.
- Ownership and Accountability: We trust our employees to take full ownership of their roles, providing the autonomy to innovate and the support to succeed. We seek individuals who are self-motivated and thrive in an environment where they can drive impactful outcomes.
- Technology-Forward: As a company invested in cutting-edge technology, we integrate AI and other advanced solutions across our platform to enhance productivity, customer experience, and process efficiency. Our team members are excited by the potential of AI and proactively explore ways it can drive our success.
- Growth Mindset: Continuous learning and improvement are integral to our culture. We encourage our team to embrace challenges, seek knowledge, and develop both personally and professionally.
- Innovation and Agility: We foster a dynamic, fast-paced environment where fresh ideas and bold solutions are celebrated. We embrace change and thrive on turning challenges into opportunities, with a team that is agile, proactive, and resilient.
- Collaborative, Results-Driven Environment: We value purposeful collaboration that leads to shared success and stronger results. While our team members are independent, they recognize the value of working together to drive our mission forward.
- Competitive Benefits and Rewards: OfficeSpace offers comprehensive and competitive benefits packages globally, designed to support our team’s health, well-being, and financial security. We invest in our people so they can excel.
OfficeSpace is committed to building and promoting a diverse workforce and celebrates the unique qualities that individuals of various backgrounds and experiences offer. We are committed to basing all employment-related decisions upon valid job-related factors without regard to race, color, sex (including pregnancy, sexual orientation, and gender identity), age, religion, national origin, genetic information, military status, veteran status, physical or mental disability, or any other status protected by law.
Similar Jobs
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Sells SaaS accounting software services by consulting with customers, estimating implementation effort, developing Statements of Work, and guiding sales-to-implementation handoffs. Builds services sales pipelines, supports solution demonstrations, aligns cross-functional teams, manages forecasts and KPIs, and contributes to go-to-market materials. Requires accounting software knowledge, consultative selling ability, project estimation expertise, and experience drafting and negotiating SOWs.
Top Skills:
Accounting SystemsBlacklineCrm ToolsProject Management SoftwareSaaS
Cloud • Machine Learning • Other • Software
Own end-to-end customer onboarding and implementation for Stream’s AI Moderation product, including policy design, configuration, testing, integrations, and go-live. Continuously tune moderation systems by analyzing false positives and negatives, investigate escalations, train Trust & Safety teams, and create enablement materials. Partner with Sales, Solutions Engineering, Product, and Engineering to support pilots, improve customer outcomes, and inform the roadmap. The role requires technical customer engagement, project management, analytics, communication, and willingness to review harmful content.
Top Skills:
Ai ModerationAPIsWebhooks
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads payer solution consulting and end-to-end implementation delivery for healthcare technology solutions. Advises payer clients, translates operational requirements into scalable solution designs, manages scope, milestones, dependencies, risks, and go-live readiness, and coordinates Sales, Product, Engineering, Implementation, Support, and Operations. Drives standardization, operational improvements, implementation quality, and repeatable multi-payer delivery models.
Top Skills:
APIsClearinghouse Connectivity
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
