--- title: 'Sales Engineer at Doxel' canonical: 'https://feeny.ai/job/sales-engineer-doxel-london-dw44g1tg6163' type: 'job' last_seen: '2026-10-31' --- # Sales Engineer at Doxel - **Company:** Doxel - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-10-31 - **Apply:** https://jobs.lever.co/doxel/e354d372-307e-43f4-9f6b-cffc6636a8ae ## Job description Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget.  Without this observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover. Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday. We’re at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction! We are seeking a Sales Engineerto own the technical side of our sales process and help win strategic accounts across data center, healthcare, and manufacturing construction. This role sits at the intersection of product expertise, customer engagement, and revenue growth. You’ll partner closely with Account Executives to design solutions, deliver high-impact demos, and ensure Doxel’s value is clearly communicated to executive stakeholders and project teams. ## Your Day to Day - Lead the technical sales process with potential customers at owners and GCs—assisting sales with discovery, demo, and ROI proof. - Translate deep construction knowledge (scheduling, cost control, earned value, field operations) into customer value stories. - Deliver world-class presentations and demos tailored to executives, field leaders, and technical champions. - Partner with Sales leadership to drive revenue growth by supporting multimillion-dollar enterprise deals. - Act as the voice of the customer internally—shaping roadmap feedback and supporting product adoption post-sale. - Mentor future sales engineers as the company grows. What Success Looks Like - Trusted technical partner across enterprise opportunities in EMEA, helping the world’s most important companies deliver critical infrastructure faster using AI. - Recognized subject-matter expert on Doxel’s platform, construction workflows, and ROI narrative for data center, healthcare, and advanced manufacturing projects. - Consistently delivers executive-level demos and technical validation that accelerate deal cycles and materially influence $1M+ deal outcomes. - Proactively shapes deal strategy by identifying technical risks, success criteria, and proof points early in the sales process. - Builds the foundation for a scalable EMEA sales engineering function through repeatable demo standards, enablement, and mentoring. ## What You Bring - 5+ years of experience in construction technology, project controls, or related fields. - Proven ability to bridge construction expertise with technology adoption. - Exceptional communication and presentation skills—able to simplify complex topics for executives and field teams alike. - Demonstrated passion for working with customers and winning revenue in partnership with Sales. - Track record of supporting large, complex enterprise deals ($1M+ preferred). - Experience in data centers, healthcare, or advanced manufacturing construction a strong plus. ## Preferred Experience - Deep hands-on construction experience across scheduling, cost controls, or field operations on large, complex programs. - Prior client-facing role supporting senior stakeholders at owners, developers, or top-tier general contractors. - Experience operating in high-expectation environments with highly complex customers, long sales cycles, and mission-critical delivery requirements. ## 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, and unlimited sick days ## Compensation & Pay Range Base Salary: £120,000 – £128,000 / year In addition to annual salary, this role will include variable compensation. Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience. ## Equal Opportunity Employer 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. ## About Doxel ## Company Overview - **One-liner**: Computer vision powered observability for construction, providing automated progress tracking to keep projects on schedule and budget. - **Entity Type**: Private (Series B, $56.5M total funding) - **Headquarters**: Menlo Park, California, United States - **Founded**: 2015 (per company site; LinkedIn reports 2016) - **Founders**: Saurabh Ladha (CEO) ## Core Business - **Primary industry**: Construction technology (AI-powered project controls) - **Target customers**: B2B – general contractors, data center developers, healthcare, and industrial construction firms (18 of top 30 GCs, 14 of top 20 data center developers, 3 of 4 hyperscalers) - **Mission**: “Help project teams stay on track in the face of constant change” by delivering objective, actionable data that keeps construction projects on schedule and budget. ## Products & Services - **Doxel Platform**: An automated construction progress tracking SaaS solution that uses computer vision to contextualize site, BIM, schedule, and budget data. Provides real-time observability, machine-generated risk analysis, and predictions to prevent delays, over-billing, rework, and trade stacking. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding of **$56.5M** across four rounds (Seed, Series A, Series B, Pre-Seed) - **Notable Investors/Partners**: Insight Partners (Series B lead), Andreessen Horowitz (Seed lead), Amplo (Series A lead), Pear VC (Pre-Seed) - **Growth Signals**: - 3+ billion square feet of construction tracked - 100+ data center projects, 80+ healthcare projects - 2 of top 3 largest U.S. EV battery factories - Customers deliver projects 11% ahead of schedule with up to 16% savings on monthly cash flow - 95 employees (LinkedIn estimate), active hiring with 15 open positions ## Competitive Advantages - **Unique differentiator**: Only complete automated progress tracking solution that fuses site data with BIM, schedule, and budget to provide an objective, single source of truth. - **Hard-to-replicate moat**: Proprietary computer vision models trained on billions of square feet of construction data; deep integrations with top contractors and hyperscalers. - **Backing by top-tier VCs** (Insight Partners, a16z) provides credibility and resources. ## Strategic Focus - Expanding into high-growth verticals: data centers, healthcare, manufacturing (EV battery factories) - Scaling AI-driven risk analysis and predictive capabilities - Building out engineering and product teams, especially in AI, platform security, and construction AI workflows ## Why Work Here - **Culture**: Values “motivated, curious, and creative people” who want to transform the construction industry. Emphasis on strategy, passion, and exceeding expectations. - **Work model**: Hybrid and remote options available. HQ in Menlo Park, CA; roles also in Bengaluru (hybrid) and remote across the US (East Coast, Atlanta, etc.). - **Perks**: Not extensively detailed, but Built In lists “Perks +” and the company offers a collaborative, mission-driven environment at the intersection of AI and construction. - **Engineering culture**: Strong technical leadership (VP of Engineering from Amazon/Credit Karma, Chief Architect from high-scale systems) and a data-first approach. ## Sources 1. [doxel.ai/company](https://doxel.ai/company) 2. [doxel.ai/careers](https://doxel.ai/careers) 3. [jobs.lever.co/doxel](https://jobs.lever.co/doxel) 4. [linkedin.com/company/doxel-sr-autonomous-inc.-](https://linkedin.com/company/doxel-sr-autonomous-inc.-) 5. [builtin.com/company/doxel](https://builtin.com/company/doxel) ## Other roles at Doxel - [Construction Client Manager, Texas](https://feeny.ai/job/construction-client-manager-texas-doxel-dallas-vsb2mamxjz5a) — Dallas, TX - [Executive Assistant](https://feeny.ai/job/executive-assistant-doxel-san-francisco-bay-area-enyg53yvtzyy) — San Francisco Bay Area, CA - [Construction Schedule Analyst](https://feeny.ai/job/construction-schedule-analyst-doxel-bengaluru-4x6dx4crwjvn) — Bengaluru, India - [Construction Client Manager, Virginia](https://feeny.ai/job/construction-client-manager-virginia-doxel-arlington-k0tmn83zvbn8) — Arlington, VA - [SDR Manager](https://feeny.ai/job/sdr-manager-doxel-austin-t2djjav9dcpd) — Austin, TX - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-doxel-san-francisco-bay-area-adr6ntehmnb1) — San Francisco Bay Area, CA - [Vice President, Marketing](https://feeny.ai/job/vice-president-marketing-doxel-san-francisco-bay-area-bzf46w9r5037) — San Francisco Bay Area, CA - [Senior Platform Engineer, Security](https://feeny.ai/job/senior-platform-engineer-security-doxel-san-francisco-bay-area-w0mehxcytah8) — San Francisco Bay Area, CA - [Senior Backend Software Engineer](https://feeny.ai/job/senior-backend-software-engineer-doxel-san-francisco-bay-area-ek4w5men6nzs) — San Francisco Bay Area, CA - [Sales Development Representative, London](https://feeny.ai/job/sales-development-representative-london-doxel-london-b93zkyrba4zs) — London, United Kingdom