Design and run the companys first sales enablement program to train enterprise AEs (and later SDRs, SEs, CSMs) in construction domain fluency. Create onboarding, certification, curricula, playbooks, AI-supported self-service training, and analytics to measure ramp, deal quality, and win rates. Partner cross-functionally to translate product releases into sales-ready content and continuously iterate training via data and feedback.
Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.
Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.
Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.
Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win.
Join us as we continue our journey to transform the $15T Construction Industry!
We are hiring our first dedicated Sales Enablement & Training Manager. This is not a content-management or LMS-administration role; it is fundamentally a sales training and domain-teaching position. The core mission has two parts: developing talented enterprise AEs who arrive without construction experience into sellers who can hold credible conversations with the people who run construction projects — from project executives to field superintendents — and building the systems that produce those sellers consistently as the organization scales.
Success in this role depends on two capabilities. First, the ability to learn a complex, unfamiliar industry quickly and thoroughly - and to develop genuine expertise in it. Second, the ability to teach it: translating dense field reality into training that turns a generalist seller into someone customers trust.
You will use our AI tools, including our internal Claude instance, to accelerate your own ramp into the construction domain, then teach AEs to learn the same way. You will also build out the supporting enablement function (onboarding, playbooks, certification, and tooling) as the team grows.
Your Day to Day
- Build the Enablement Function
- As our founding enablement hire, design and operationalize the company's first formal sales enablement program, establishing its strategy, priorities, and infrastructure.
- Create scalable onboarding programs across GTM roles: AEs first, then SDRs, Solutions Engineers, and Customer Success.
- Develop certification frameworks and role-based competency models.
- Build repeatable, AI-supported training systems that scale with company growth, including self-service delivery and the supporting tooling and LMS stack, so quality instruction doesn't depend on a live session for every rep. Training & Curriculum Development
- Build your own deep construction expertise first: the project lifecycle, the stakeholders who run jobsites, and the metrics that govern their work. Use AI, including our Claude instance, to accelerate your ramp, then teach AEs to learn the same way.
- Develop curricula that turn generalist AEs into construction experts: persona guides, per-persona discovery questions, and objection libraries grounded in field reality.
- Give reps repeated, realistic practice, including AI role-play against construction personas, and gate certification on demonstrated domain fluency rather than product recall.
- Deliver live and asynchronous training, and coach in the flow of work (call and demo reviews, deal debriefs, role-plays).
- Use AI to accelerate content production from product releases, recorded calls, and SME interviews. Sales Process & Playbooks
- Build and maintain playbooks across the customer lifecycle: discovery frameworks, qualification, account planning, and deal inspection.
- Develop messaging and talk tracks aligned to our ICPs and buyer personas.
- Embed an enterprise methodology (MEDDICC, Challenger, or consultative selling) and reinforce it so adoption holds.
- Partner with Product Marketing to translate product releases into sales-ready enablement content Cross-Functional Collaboration
Partner with Sales Leadership, Product Marketing, Product, Customer Success, and RevOps; translate product releases into sales-ready content and surface gaps through pipeline reviews, call data, and field feedback.
Performance & Analytics- Define enablement KPIs and measure training effectiveness.
- Analyze onboarding ramp time, time-to-domain-credibility, quota attainment, win rates, certification pass rates, discovery quality, and overall sales productivity.
- Use feedback loops and data insights to continuously improve programs.
What Success Looks Like
- Onboarding and certification are live, with construction fluency the bar to be deal-ready.
- New AEs reach that bar faster and more consistently.
- Sharper, construction-grounded discovery shows up in pipeline quality and win rates.
- Most training is self-service and AI-supported, scaling without live sessions.
- Methodology and messaging are applied consistently across the team.
Within the first 12 months, this person will:
What You Bring
- Demonstrated excellence as a teacher and coach, with a track record of developing people from beginner to credible. Strong facilitation, presentation, and adult-learning skills. This is the most important qualification.
- Strong learning agility. You have moved from no knowledge of a complex or technical domain to genuine expertise, and can describe how. You approach mastering an unfamiliar industry as an opportunity rather than an obstacle
- Fluency with modern AI tools and the ability to use them to build training: interactive simulations, adaptive self-service learning, and faster content production. You treat AI as core to making enablement scalable, not as an add-on.
- A solid understanding of enterprise B2B SaaS sales (long, multi-stakeholder cycles involving technical and operational buyers) and fluency in at least one methodology (MEDDICC, Challenger, SPIN, or Command of the Message).
- 0→1 experience, with comfort in ambiguity and a history of building training, onboarding, or sales programs from scratch.
- The ability to create content independently (curricula, playbooks, and certification tracks) without relying on pre-existing templates.
- 8+ years across sales, sales training, and/or enablement, ideally including direct enterprise selling or rep coaching.
Benefits & Company Culture
- Competitive Base Salary + Equity Package
- Remote first culture (for most roles)
- Comprehensive Health Insurance (Medical, Dental, Vision)
- Home Office Stipend
- Monthly allowance for cell phone and internet
- Flexible PTO, generous company holiday policy
Preferred Experience
- Hands-on experience building AI-enabled or self-service training, such as simulation-based practice, AI-assisted content creation, or conversational knowledge tools.
- Direct experience in construction tech, AEC, industrial SaaS, PropTech, or operational technology, which shortens domain ramp time.
- Familiarity with enterprise procurement and operational or field buyer personas.
- Experience enabling technical sales motions that involve Solutions Engineering.
- Certifications in sales coaching, enablement, training, or leadership development.
- Experience implementing LMS or enablement tooling
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead product marketing for ServiceNow's telecommunications portfolio: craft messaging, drive releases and sales enablement, support deals with positioning and competitive insight, and embed AI-first workflows for scalable content and research.
Top Skills:
Ai ToolsBssOssServicenow
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Manage and mentor an embedded software team developing reusable, certifiable Linux-based product lines for safety-critical and non-safety-critical systems. Drive technical planning, integration with program teams, adherence to DO-178C and SDLC, implement DevSecOps practices, and standardize metrics and reporting across stakeholders.
Top Skills:
DevsecopsDo-178C/Do-178BHypervisorsIndependent Verification & Validation (Iv&V)LinuxLinux KernelReal-Time Operating Systems (Rtos)SdlcUnikernel
Digital Media • Information Technology • News + Entertainment
Lead design and delivery of AI-enabled product capabilities, including agentic workflows, LLM/agent productionization, distributed inference, model lifecycle, and reusable patterns. Drive cross-functional implementation, mentor engineers, improve performance/scalability, and ensure reliable, maintainable customer-facing AI features.
Top Skills:
AgentsAi ToolingAWSAzureDistributed SystemsGCPGoLlmsModel EvaluationModel MonitoringModel RetrainingNlpPythonReal-Time InferenceRecommendation SystemsTime Series Modeling
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute



