
Doxel
Menlo Park, CA
AI-powered construction progress tracking
About
Doxel builds software using computer vision to analyze 360-degree video from construction sites, comparing actual progress against BIM models and schedules to track completion by trade and stage. It serves contractors and owners to forecast delays, optimize manpower, and deliver projects 11% faster with 16% lower costs. The platform provides objective insights, reducing manual tracking time by 95% and preventing overruns.
Tech stack
Kubernetes, Python, GCP, TypeScript, Java, Next.js, AWS, Azure, Redshift, Snowflake, BigQuery, React
Perks & benefits
Health insurance, Home office stipend, Remote work
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Open jobs
13Senior Product Manager responsible for discovering enterprise customer needs and rapidly delivering mobile and web product features with design and engineering teams. Requires 5+ years of product management experience, including enterprise product development, strong communication, customer discovery, and end-to-end ownership.
This hands-on HR business partner will run core people processes, implement and configure Rippling, manage performance and career programs, and support benefits and immigration operations. The role requires 8+ years of HR/HRBP experience and demonstrated success building processes in a growth-stage company.
Leads Doxel’s category creation, positioning, and full marketing function at the intersection of AI and construction. The role requires 12+ years of progressive marketing experience, enterprise go-to-market expertise, executive presence, and hands-on leadership across product, corporate, demand, and field marketing.
Coordinates SaaS customer onboardings by tracking requirements, dependencies, files, risks, and stakeholder deliverables. The role suits an organized operator with at least two years of SaaS and coordination-related experience who can support customer communication and grow into implementation ownership.
Build and secure Doxel's internal developer platform on GCP. Own cloud security posture, embed security into CI/CD pipelines, and drive adoption of secure golden paths across engineering teams.
Backend engineer building and scaling data pipelines, APIs, and storage systems (DuckDB, PostgreSQL, Airflow) that power construction-insight applications and integrate with CV/ML models.
Founding Sales Enablement & Training Lead responsible for building the company's first enablement function, developing construction-domain expertise in enterprise AEs, and creating scalable AI-supported onboarding, certification, and training programs.
Leads multiple engineering teams building AI-enabled data pipelines and customer-facing products at scale. The role requires extensive engineering leadership, experience managing managers, technical depth in AI/ML and data systems, and a strong focus on team growth and execution.
Builds full-stack web and mobile applications handling large-scale field data (videos, images, IoT) for construction project management tools. Requires 8+ years experience with TypeScript/Python/Java, modern frameworks like Next.js/Nuxt.js, cloud platforms, and APIs.
Builds full-stack web and mobile applications handling large-scale field data (videos, images, IoT) for construction project management. Requires 5+ years experience with TypeScript/Python/Java, modern frameworks like Next.js/Nuxt.js, cloud platforms, and APIs.
Generates and qualifies leads through outbound prospecting and inbound responses for construction industry SaaS sales team. Sets meetings for Account Executives using Salesforce and industry knowledge; requires 1-2 years sales development experience.
Closes large enterprise deals for construction software through high-velocity prospecting, discovery, and customized business cases. Requires 4+ years software sales experience, consistent quota overachievement, and strong disqualification skills.
Leads design and development of full-stack web/mobile apps handling large-scale field data (videos, images, IoT) for construction project management. Requires 10+ years experience with modern frameworks, backend langs, cloud infra, and technical leadership/mentoring.