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Maintains and enriches B2B prospect databases for outbound sales, conducts construction market and competitor research, builds spreadsheet dashboards, analyzes pipeline and outreach metrics, and presents weekly insights to data and sales leadership. Supports ICP mapping, segmented lead-list creation, data hygiene, and go-to-market execution.

Own end-to-end computer vision and deep learning research for automated construction drawing takeoff and estimation. Develop object detection, segmentation, structured extraction, and multimodal models using visual layout, geometry, and text. Design evaluation frameworks, determine effective data strategies, assess current research, and deploy models to production. The role requires strong Python and PyTorch expertise, GPU and distributed training experience, and practical computer vision research depth.

Create and deliver video and motion graphics for B2B SaaS marketing across web, YouTube, social, webinars, campaigns, and events. Responsibilities include editing case studies, animating branded assets, building After Effects templates, producing short-form content, collaborating on scripts and storyboards, managing exports and versions, and supporting multiple projects. The role requires creative storytelling, marketing alignment, stakeholder communication, and proficiency with Adobe Creative Cloud and Blender.

Develop and maintain scalable, reusable frontend code for complex SaaS applications. Design responsive user interfaces, integrate securely with backend services, participate in architecture discussions, own feature delivery, mentor junior engineers, conduct code reviews, test and debug applications, optimize performance, and collaborate with product and design teams. The role requires expertise in React, Next.js, TypeScript, JavaScript, HTML, CSS, testing frameworks, browser technologies, cloud services, and responsive UX.

Develop and execute manual and automated test cases across unit, integration, acceptance, web, mobile, and API testing. Maintain automation scripts, contribute to testing frameworks, support shift-left practices, and collaborate with Product and Development teams during UAT and Scrum activities. Investigate production issues using application behavior, APIs, logs, data, and configurations. Apply AI-assisted QA tools for test generation, failure analysis, regression optimization, and coverage improvement.

Conduct high-volume outbound prospecting through calls, voicemails, and personalized emails to construction and field-services prospects. Qualify inbound and outbound leads, book product demos, manage early-stage pipeline, and support opportunity progression. Collaborate with marketing, data, product, and RevOps teams to refine messaging, improve targeting, maintain CRM accuracy, track KPIs, and provide prospect feedback.

Own a portfolio of 15–25 strategic enterprise accounts, driving adoption, retention, renewals, and expansion. Lead onboarding, implementation, QBRs, executive relationships, ROI reporting, and strategic account planning. Partner with Sales and Product to identify growth opportunities, negotiate renewals, and communicate customer feedback. The role manages construction-industry customers and requires 40–50% travel for customer visits, QBRs, and trade shows.

Supports sales teams as a technical expert for AI-powered construction and landscaping software. Represents the company on customer calls, clarifies technical requirements, translates engineering concepts for sales professionals, communicates customer needs to estimating and product teams, develops training materials, supports enterprise pilots, and collaborates cross-functionally while working US time-zone hours.

Supports product strategy, roadmap prioritization, customer research, requirements documentation, backlog management, and cross-functional delivery for an AI-powered construction estimating product. Analyzes usage data and KPIs, supports experimentation, coordinates with engineering, design, sales, customer success, and marketing, and develops expertise in construction estimation and AI technologies.

Develop and execute sales strategies to identify and close new B2B SaaS customers. Build and manage sales pipelines, qualify inbound and outbound leads, engage key decision-makers through consultative selling, negotiate deals, and maintain customer relationships. Collaborate with product and marketing teams, while staying knowledgeable about the platform, construction industry, and relevant market trends.