Tell compelling, outcome-led stories (via demos and product led experiences) that show customers how their business can be reimagined on HubSpot's agentic customer platform.
Lead discovery that uncovers the pain, outcomes and requirements by engaging customers and then earning the right to go deeper
Partner with Account Executives to map the technical buying committee, competitive landscape and path to a decision.
Redesign customers' legacy complexity into a simplified HubSpot architecture that integrates with their wider tech stack.
Design and build working proofs quickly with AI coding tools, Breeze AI agents and the HubSpot developer framework, scoped to clear use cases, success criteria and timelines.
Build and maintain customer-facing experiences that power live online auctions, improving performance, reliability, and technical debt while mentoring teammates.
Locations (2)
Boston, Massachusetts, United States
United States
Compensation
Competitive Compensation: $140,000-170,000 annually plus profit share bonus.
Responsibilities
Build and ship features end-to-end across any tier of the Invaluable platform
Improve quality and maintainability by refactoring legacy areas and reducing technical debt
Own reliability and performance: diagnose production issues, squash bugs, and improve UX
Design, build, and test mechanical parts for a non-invasive functional ultrasound imaging platform, integrating with electrical and acoustic components, and develop automation tools.
Compensation
Meaningful equity in a seed-stage company.
Responsibilities
Design and iterate mechanical parts in CAD
Build test infrastructure and benchtop rigs
Build parts in house using 3D printers and CNC
Outsource parts that cannot be built in house
Develop processes for low-volume part production
Requirements
Bachelor’s degree in mechanical engineering, a closely related discipline, or equivalent experience
Build and scale backend services and data layers using Go, TypeScript, Postgres, and Neo4j, develop parsers and integrations for industrial data, and design interfaces for operators.
Compensation
Salary range: $180,000 to $350,000 annually. Visa sponsorship is available.
Responsibilities
Build and scale backend services and data layers using Go, TypeScript, Postgres, and Neo4j.
Develop parsers and integrations that bring SCADA, PLC, historian, MES, and ERP data into a unified plant model.
Build agent infrastructure and large-scale data ingestion pipelines across AWS and Azure.
Design clear, practical interfaces for industrial operators.
Own features end to end, incorporating customer feedback into product improvements.
Requirements
degree or equivalent experience in computer science
MaxIT Consulting is looking for a Full Stack Engineer, Applied AI to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies.
Compensation
Apply through this same channel with your updated resume and your expected gross annual base salary in USD.
Responsibilities
Design and build backend services on Python, FastAPI and Postgres.
Build applied AI workflows with the OpenAI API, LangGraph, vector databases and search systems.
Develop ingestion, indexing and search pipelines for scientific and regulatory documents.
Build customer-facing features end to end, from data model and API to the React/TypeScript frontend.
Ground AI outputs in source data with traceable, verifiable citations.
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