HubSpot

Full-stack Engineer

• Define technical direction for AI context platform
• Collaborate with product and engineering teams to achieve outcomes
• Drive reusable platform patterns and architectural leadership
• Contribute to high-impact initiatives and maintain system reliability

Principal Software Engineer – AI Context

Backend Engineer

• Lead a team responsible for invoice generation and validation
• Ensure every customer receives the right invoice at the right time
• Collaborate on validation systems for continuous correctness
• Enhance the customer billing experience for clarity

Technical Lead II, Backend - Revenue Systems

Product Designer

• Define the future of applied AI
• Understand complex systems and map incentives
• Prototype to influence and create high-fidelity prototypes
• Shape the narrative to inspire alignment
• Raise the bar for design quality across the organization

Staff Product Designer – Go-Market-AI

Producer

• Execute end-to-end production for Academy Labs regional events, INBOUND sessions, and GROW experiences in partnership with the Lead Producer.
• Own the customer experience by serving as the primary point of contact for attendees, managing all attendee communications, registration support, and proactive support for accessibility, dietary, or logistical needs.
• Build and maintain operational templates, playbooks, and checklists to ensure process consistency and scalability across a high-volume event calendar.
• Coordinate venue layouts, floorplans, and supplier logistics, including power, internet testing, load-in schedules, and equipment shipping.
• Support site searches and venue selection by coordinating availability checks, gathering quotes, reviewing layouts and technical specs.
• Support management of production vendors (A/V, F&B, print graphics, furniture rentals) to ensure timely, high-quality delivery.
• Administer registration systems and ensure accurate attendee data.
• Prepare and test all presentation content, simulate sessions, and provide on-site tech support and troubleshooting.
• Oversee creative and branding execution, including signage, SWAG, and digital display coordination.
• Track budgets and financials, including PO creation, contracts, and invoices reconciliation.
• Manage on-site operations: registration, check-in, customer support, and overall attendee experience.
• Collect and analyze post-event feedback to identify operational improvements and efficiency gains.

• Lead end-to-end production strategy and execution for Academy Labs regional events, INBOUND, and GROW activations—ensuring every production element reflects HubSpot’s standards for quality and impact.
• Design scalable systems and processes that simplify complex multi-market execution across 15+ annual events, enabling global consistency and operational excellence.
• Develop experiential production frameworks that align with business goals (retention, expansion, advocacy) and tie directly to measurable outcomes like ARR growth.
• Oversee project management across the event lifecycle—timelines, milestones, risk assessment, and stakeholder communication.
• Lead site search and venue selection strategy across all Academy Labs markets, defining venue criteria, evaluating production feasibility, negotiating contracts, and building a scalable venue portfolio that supports program growth, budget efficiency, and consistent attendee experience.
• Oversee and actively manage technical production and show flow, including A/V, staging, content management, run of show, and accessibility (ASL/CART) for dual-track, full-day programs.
• Own vendor strategy and relationships, leading RFPs, contracting, and negotiations to build a preferred global vendor ecosystem capable of scaling with program growth.
• Manage a $1M+ production budget, including forecasting, allocations, and reporting through our internal budget trackers and systems; ensure all spending aligns with budget and ROI goals.
• Drive cross-functional collaboration with HubSpot Academy, Customer Success, Community, Enablement, and Brand teams to align production execution with strategic outcomes.
• Ensure brand and experience consistency across all event elements, collaborating with creative and brand teams to deliver a cohesive look, feel, and message.
• Develop and mentor peers, setting standards for production best practices, documentation, and process improvement.
• Monitor program data and insights, identifying trends in cost efficiency, quality, and attendee satisfaction; use findings to evolve and optimize future programs.
• Lead crisis comms and security planning to ensure operational safety and preparedness across all locations.
• Lead and facilitate comprehensive post-event review sessions with cross-functional stakeholders, developing structured processes to capture learnings, identify areas for improvement, and document best practices that inform future event strategy and execution.
• Serve as subject-matter expert in live experiential learning production—advising internal stakeholders on feasibility, innovation, and scalability.

Lead Producer, Academy Labs

Technical Writer

• Source, create, and maintain documentation for HubSpot’s core product
• Collaborate with Product Managers and Designers to stay up-to-date on product changes
• Edit existing content for style and consistency
• Review internal feedback and make data-driven content decisions

• Collaborate with Product Managers, Designers, and Product Experts
• Gather information and create helpful written content
• Edit existing content to adhere to style guide
• Make data-driven decisions to improve documentation

Machine Learning Engineer

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.
• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.
• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).
• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.
• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.
• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.
• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Senior Machine Learning Engineer

• Design and build backend services and APIs for marketing Email, SMS and WhatsApp creation, management and publishing.
• Own and evolve shared infrastructure used across Messaging.
• Lead complex, cross-team projects (typically 3–6 months) that span multiple services, data stores and product areas.
• Take a data-driven approach to reliability and performance.
• Contribute to and sometimes lead database and infrastructure initiatives, such as keyspace migrations in partnership with platform teams.
• Debug and resolve production issues across the stack: work with tooling like Metrics, Logfetch, Error Reporting and Tracing and use incident learnings to improve architecture, alerting and runbooks.
• Drive technical design for new features and refactors: write design docs, review peers’ designs and ensure solutions are scalable, maintainable and aligned with the broader Messaging architecture.
• Mentor and level up other engineers on the team via code reviews, pairing and informal coaching, helping them deepen their skills in distributed systems, reliability and product thinking.
• Collaborate closely with frontend, infra and product partners across Messaging and adjacent teams to deliver cohesive, end‑to‑end solutions.
• Participate in on‑call rotations and incident response, contributing to a culture of shared ownership for reliability and sustainable on‑call practices.

Senior Software Engineer, Messaging Core

Senior Software Engineer II, Messaging Core

Sales

• セールス組織およびマネジメントチームに対し、データに基づいた運用および意思決定のサポートを提供する。
• セールス組織の人員配置およびキャパシティ計画を維持し、中央計画チームと連携して採用計画を遂行する。
• リーダーシップ層と連携してKPIを監視し、インパクトを最大化するためのトレンドや機会を特定する。
• ビジネス上のリクエストに対応し、根本原因の分析（Root-cause analysis）を行い、問題解決や機会獲得のための提案を行う。
• パフォーマンスと生産性の向上を目的とした、部門横断的なプログラム、ツール、プロセス、およびシステムの導入・運用をサポートする。

Principal Software Engineer – AI Context

Technical Lead II, Backend - Revenue Systems

Staff Product Designer – Go-Market-AI

Producer

Lead Producer, Academy Labs

Technical Writer

Technical Writer

Senior Machine Learning Engineer

Senior Software Engineer, Messaging Core

Senior Machine Learning Engineer

Senior Software Engineer II, Messaging Core

Sales Strategy Analyst