Jobs at Attentive.ai

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.

Lead customer onboarding, product adoption, account management, renewals, and churn prevention for Beam AI’s construction software. Serve as the technical liaison between customers and the estimating team, explain construction requirements, track CSAT, NPS, renewals, and churn, identify upsell opportunities, and develop customer advocacy through case studies, testimonials, and referrals. The role requires construction or engineering expertise and customer-facing experience with US or Canadian clients.

Manage daily office administration, facilities coordination, vendor relationships, inventory and procurement, business travel bookings, and company events. The role ensures a smooth workplace experience by maintaining office infrastructure, tracking supplies and merchandise, coordinating repairs and services, supporting employee and leadership travel needs, and organizing meetings and engagement activities.

Manage customer onboarding, training, adoption, support, renewals, and account growth for a B2B SaaS construction takeoff product. Identify upsell opportunities, reduce churn, gather product feedback, support customer advocacy, and track success metrics including CSAT, NPS, renewals, and churn. The role requires strong communication, analytical, relationship-building, and problem-solving skills, with availability for US business hours and possible onsite customer travel.

Conduct applied computer vision and deep learning research for automated construction drawing takeoff and estimation. Own a scoped research problem, train and evaluate models for detection, segmentation, or structured extraction, explore self-supervised learning and multimodal signals, develop prototypes using real data, design evaluations, and present findings to the research team.

Own end-to-end computer vision and AI research for automated construction takeoff and estimation. Develop deep learning models for object detection, segmentation, structured extraction, and multimodal understanding of vector and raster drawings. Build evaluation frameworks, train models at scale, make data-labeling decisions, assess current research, and productionize successful models. The role requires strong Python and PyTorch skills, GPU and distributed training experience, and practical computer vision expertise.