Jobs at Proton.ai

Own standard B2B SaaS customer implementations from pre-sales solutioning through go-live. Lead project plans, configuration, integrations, data readiness, testing, training, stakeholder governance, risk management, cutover, and post-launch adoption. Translate distributor workflows into technical implementation plans, assess integration and data risks, track project outcomes, and improve repeatable implementation processes.

Own product domains end to end, from customer discovery and problem definition through development, launch, adoption, and revenue. Lead cross-functional squads working with engineering, design, and data science to build AI-centric workflows. Conduct onsite research with distributors, iterate rapidly with design partners, drive customer adoption, and enable sales and customer success through positioning, training, and product demonstrations.

Own full-cycle recruiting for high-priority roles across Sales, Marketing, Product, Engineering, and Operations. Partner with leadership on hiring forecasts and compensation benchmarking, manage Greenhouse ATS, run employer branding and recruiting events, track recruiting metrics, and improve processes and candidate experience.

The GTM Engineer will design and build systems for revenue operations, utilizing AI and data-driven workflows to enhance business processes and performance.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Own Proton’s UI and visual language across four products, partnering with product and engineering teams to ship customer-focused experiences. Prototype interactions in code using AI tools, manage the design system, define patterns for human-agent collaboration, and conduct frequent onsite customer research. The role requires strong visual design craft, end-to-end product delivery, systems thinking, agile experience, and hands-on daily use of Claude Code, Cursor, or equivalent.

Lead customer engagements from scoping through go-live and adoption, designing solutions and integrations, partnering with executives, driving account expansion, and feeding product with field-driven requirements. Act as a forward-deployed product manager coordinating engineers on integrations and data pipelines and ensuring delivered value.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.