PlanHub

Machine Learning Engineer

• Design and implement end-to-end ML infrastructure using AWS services (SageMaker, Lambda, ECS, ECR, Glue, etc.)
• Build and maintain feature stores for efficient feature engineering, storage, and serving
• Create CI/CD pipelines for automated model testing, validation, deployment, and rollback
• Implement comprehensive model monitoring, observability, and alerting systems to track performance, drift, and reliability
• Manage compute resources and optimize infrastructure costs for training and inference workloads
• Establish MLOps best practices; version control for data, models (ex. model lifecycle management), experiments, and infrastructure
• Automate infrastructure provisioning and management using Terraform or CDK
• Collaborate with AI Engineers to understand requirements, remove deployment friction, and accelerate the model development lifecycle
• Build tools and automation that enable self-service model deployment and experimentation

MLOps Engineer

Full-stack Engineer

• Build production-ready APIs and microservices that expose ML model capabilities to applications and end users.
• Design and implement scalable inference systems supporting both real-time and batch prediction workflows.
• Develop robust data pipelines for ingesting, processing, validating, and preparing data for ML systems.
• Create user-facing features powered by AI capabilities including intelligent search, recommendations, and automation.
• Implement frontend code and application integrations using Angular to produce end-to-end user experiences that consume AI and ML models at inference time in a responsive manner.
• Optimize model serving for performance, latency, throughput, and cost efficiency.
• Implement comprehensive logging, monitoring, error handling, and alerting for AI-powered features.
• Collaborate closely with AI Engineers to understand model requirements, constraints, and integration needs.
• Work with Product and Engineering teams to translate business requirements into scalable technical solutions.
• Leverage AWS services such as Lambda, ECS, API Gateway, SQS, and DynamoDB to build resilient systems.

Senior Full Stack Engineer – AI/ML Productization

Product Designer

• Evolve and implement a comprehensive UX strategy for PlanHub product ecosystem.
• Build and lead a high-performing UX team, fostering a collaborative and innovative environment that supports continuous UX improvements.
• Promote human-centered design thinking throughout PlanHub.
• Become a true ally to your peers in Product Management, Engineering, Marketing and Sales organizations.
• Own the UX process: from blue sky research to implementation and beyond.
• Measure the impact of UX decisions on user behavior and business outcomes, and relentlessly prioritize work based on those measurements.

Principal UX Designer

Customer Support

• Managing inbound customer calls, emails and chats and adhere to defined SLA standards.
• Transfer inbound calls to appropriate personal (i.e. HR, Accounting, Marketing)
• Troubleshoot customer requests to validate and determine proper next steps
• Train customers on product functionality
• Facilitate and communicate known bugs with other team members
• Input, document and update support cases in CRM application and other internal applications
• Manage outbound customer follow-up activities for case closure
• Help grow and improve customer satisfaction scores
• Maintain inventory snacks and sodas, replenish and order, as needed.
• On an as need basis(on-site team): Ensure delivered packages are properly distributed to the correct personnel.
• Assist with office event set-up and break-down.
• Stock & Clean refrigerator.
• Assistance with cultural events, packaging, shipping, labeling and sorting.

Customer Support Specialist

Marketing

• Develop and execute lifecycle campaigns for acquisition, retention, onboarding, renewal, and digital adoption.
• Develop strategies to grow and nurture both email and SMS audiences.
• Create and manage targeted email and SMS lists to support revenue and growth initiatives.
• Use internal data to build segmented, personalized messages.
• Architect automated customer journeys and drip campaigns; own all free trial onboarding campaigns.
• Design and document testing frameworks to improve conversions and engagement.
• Coordinate with Marketing, Sales, Customer Success, and external agencies.
• Brief design and copy teams on creative and messaging requirements.
• Work closely with a graphic designer to create banner images and/or product images to support email copy.
• Build and deploy campaigns via HubSpot.
• Perform QA: proofing and optimization.
• Explore additional touchpoints (SMS, push notifications) to enhance the user journey.
• Analyze campaign results and deliver actionable insights.
• Maintain documentation and ensure compliance with email regulations.

Lifecycle Marketing Manager

Revenue Operations

• Build, refine, and automate HubSpot workflows to streamline sales processes for reps and SDRs.
• Create, monitor, and maintain dashboards and reports that provide actionable insights on sales rep and SDR performance.
• Act as the primary point of contact for sales leaders on RevOps needs, from pipeline visibility to ad hoc reporting.
• Manage and optimize our HubSpot CRM for our Sales team to ensure data integrity, accurate configuration, and smooth daily operations.
• Incorporate AI tools into workflows and data analysis to improve forecasting accuracy, manage lead flow, enhance workflow filtering, and accelerate decision-making.
• Own pipeline reporting and forecasting processes, ensuring accuracy, visibility, and consistency for sales leadership.
• Track sales data trends and proactively surface AI-enhanced insights that help sales leaders make data-driven decisions.
• Own the monthly commissions process, ensuring accuracy and timely reporting for all sales team members.
• Partner with the shared data team to ensure consistent definitions, clean datasets, and scalable reporting infrastructure.
• Identify gaps and continuously improve tools, processes, and metrics to enhance sales productivity and operational efficiency.

Senior Revenue Operations Manager

Administration

• Configure and manage HubSpot settings, workflows, automation, and integrations
• Maintain data integrity through regular data cleansing, deduplication, and standardization
• Troubleshoot and resolve technical issues related to HubSpot
• Design, build, and optimize automated workflows to streamline marketing, sales, and service processes
• Develop and implement lead scoring, nurturing, and segmentation strategies
• Create and manage email templates, landing pages, forms, and other HubSpot assets
• Develop and maintain custom reports and dashboards to track key performance indicators (KPIs)
• Provide training and support to users on HubSpot best practices and functionalities

Hubspot Administrator

Software Engineer

• Own and drive the planning and delivery of product and engineering roadmaps, ensuring proper resourcing and delivery on commitments.
• Implement and evolve metrics-driven practices to improve engineering velocity, quality, and operational efficiency.
• Ensure adherence to secure coding, scalable design, and performance best practices across the platform.
• Oversee architectural reviews and design quality across projects—ensuring scalability, resilience, and maintainability.
• Engage in code reviews, architectural evaluations, and design sessions.
• Support adoption of AI/ML components and modern platform technologies.
• Manage and mentor Engineering Managers and senior ICs, developing their technical and leadership capabilities.
• Foster a high-performance culture centered on ownership, accountability, and excellence.
• Promote continuous improvement via structured retrospectives, process improvements, and feedback loops.
• Lead modernization initiatives including re-architecture, service decomposition, infrastructure-as-code, and DevOps automation.
• Drive adoption of AWS-native services (e.g., Aurora, Lambda, ECS/EKS, EventBridge, SQS/SNS, etc.).
• Champion cloud-native engineering, secure development, and DevOps/SRE best practices.
• Act as a senior counterpart to Product Management, Customer Success, Support, and Sales Engineering.
• Participate in quarterly and sprint planning to align engineering priorities with business outcomes.
• Represent Engineering in executive discussions around OKRs, tech debt, innovation, and delivery health.

Director of Engineering

Customer Success Manager

• Provide ongoing support to English-speaking, Spanish-speaking, and bilingual clients throughout the customer journey.
• Establish clear client retention goals and build post-sale relationships to drive adoption of PlanHub’s product platform.
• Assist customers with onboarding including account setup, product navigation, and training in both English and Spanish.
• Conduct product walkthroughs, support calls, and training sessions in both languages.
• Promote the value of PlanHub’s product suite and encourage adoption; identify upsell opportunities for additional services and features.
• Call on clients quarterly to ensure training milestones are achieved, assess changes in needs, and provide tailored training or support plans.
• Proactively re-engage inactive clients (e.g., 30 days without login) and act as a trusted partner to help clients achieve long-term success.
• Support customers transitioning from sales prospects and take ownership of the customer journey; work directly with clients to solve problems and ensure satisfaction.
• Occasionally travel to West Palm Beach, FL office as required.

Customer Success Manager, Spanish Speaker

• Design and develop high-quality APIs using the Laravel framework
• Develop and maintain scalable, performant, and reliable backend systems
• Integrate and manage various databases such as MySQL and MongoDB
• Provide efficient data and security management for our APIs
• Maintain Elasticsearch to provide efficient and fast search functionality
• Write clean and maintainable code, and ensure code quality by conducting regular code reviews
• Work collaboratively with product managers, and other developers
• Stay up-to-date with emerging trends and technologies
• Participate in sprint planning, daily stand-up meetings
• Maintain and expand API documentation using Swagger
• Review and troubleshoot critical/high reported issues in Production or UAT

AI Engineer

• PlanHub is the leading pre-construction SaaS platform and marketplace helping general contractors, subcontractors, and suppliers connect and grow their businesses.
• We are seeking an experienced Sr AI Engineer with a strong AI development and software engineering background; role focuses on AI strategy, rapid prototypes, AIOps/MLOps, and AI solutions on AWS.
• What you’ll be doing: identify problems and solutions based on our Product and Technology strategy; build rapid prototypes and POCs; develop MVP and production-grade AI/ML solutions; develop agentic AI; architect for performance, cost and safety on AWS; work with cross-functional teams; trust-first AI development; data quality practices and responsible AI; assist in choosing third party solutions; work with data engineering to improve pipelines; CI/CD pipelines for AI/ML.
• You’ll use and improve CI/CD pipelines for AI and ML development, using containers and microservices and AWS infrastructure and services that accelerate development
• What you’ll need on day one: 5+ years of Python development experience and FastAPI or equivalent; 3+ years of CI/CD pipeline automation; 2+ years of RAG; 2+ years experience with multimodal LLMs; 1+ years agentic AI workflows; 1+ years guardrails; 1+ years AI QA testing; 5+ years experience AI/ML customer facing; 3+ experience with Jupyter Notebooks; 10+ years CS fundamentals; 5+ years AWS cloud; 5+ years Agile; Excellent communication
• What will make you stand out: Graph-based RAG and knowledge graph development using Neo4j; vertical agents; model fine-tuning; Amazon Redshift, SageMaker; OCR and computer vision for blueprints
• What's in it for you: Inc. 5000 recognition; flexible time-off; medical, dental, vision, life; 401(k); remote US; travel to West Palm Beach; etc

MLOps Engineer

Senior Full Stack Engineer – AI/ML Productization

Principal UX Designer

Customer Support Specialist

Lifecycle Marketing Manager

Lifecycle Marketing Manager

Senior Revenue Operations Manager

Hubspot Administrator

Director of Engineering

Customer Success Manager, Spanish Speaker

Software Engineer

Senior AI Engineer