• Design, develop, test, and release production-ready mobile web SDKs, demo apps and code samples. • Integrate 3rd-party libraries and internal C++ computer vision libraries into the SDKs. • Write and execute automated unit/functional/integration/UI tests to ensure the quality of our products. • Create and maintain internal software documentation and public Developer’s Guide. • Collaborate with other software engineers, researchers, product managers, and cloud/operation engineers to determine requirements and ensure alignments. • Follow Agile/Scrum processes like daily stand-ups, refinements, planning, and retrospectives.

• Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data. • Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance. • Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities. • Apply statistical techniques to large-scale datasets to generate accurate and impactful insights. • Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices. • Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments. • Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise. • Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.

• As a GTM Engineer (AI-first), you drive the transformation of our go-to-market organization to an AI-powered, highly automated operating model. • Your mission is to identify high-impact opportunities, turn them into scalable solutions, and enable our Sales, Marketing, and Customer teams to work smarter, faster, and more data-driven through effective use of AI and automation. • Audit & prioritize: Map GTM workflows across Sales, Onboarding, Customer Success, Support, and Marketing to identify high-impact automation opportunities (lead routing, enrichment, renewals, handoffs). • Build agentic workflows: Design and ship AI-powered automations using Clay, Claude, n8n, Notion AI, and our stack (Salesforce, Looker, Snowflake, Planhat). • Own the AI context layer: Build and maintain prompts, knowledge graphs, CRM-connected AI skills, and enrichment pipelines that continuously improve system intelligence. • Prototype relentlessly: Stay on top of new AI tools and models, test quickly, kill what doesn’t work, and scale what does — within days, not quarters. • Connect systems end-to-end: Ensure seamless integration across Salesforce, Looker, Planhat, Snowflake, and the wider data stack with RevOps, BI, and Engineering. • Lead enablement: Train Sales, Onboarding, Customer Success, and Marketing on AI-driven workflows and drive long-term adoption across teams. • Support the AI-first roadmap: Contribute to Recare's three-phase RevOps transition — from manual with structure to augmented operations to intelligent automation — delivering measurable productivity gains in each phase.

• Redesign CRM data models and UX: Rework how opportunities handle products and pricing so that selection scales with a deeper product hierarchy, remains easy to use, and supports clean reporting and valuation while keeping the main record a pipeline-focused summary. • Build and maintain server-side logic: Write and maintain C# plug-ins and server-side rules to keep data consistent, enforce business logic reliably, and replace legacy customizations that conflict with the target architecture. • Own front end customization and form scripting: Use the JS Client API (or equivalent) to deliver a clean, intuitive in-system experience: reducing clutter, guiding users toward correct workflows, and supporting multiple product-entry modes (browse, SKU, figure-first). • Deliver integrations: Connect the CRM to adjacent platforms like quoting tools, portals, internal systems, etc. using Web API/upsert-style patterns so pre-sales activity and opportunity data stay in sync as the product roadmap evolves. • Drive automation and workflow design: Build flows that mirror how sales and quoting actually operate, including status transitions and handoffs that support coordination with functions like inventory. • Apply enterprise delivery discipline: Package solutions properly for dev/test/prod promotion, manage data migration and reconciliation from legacy structures, control access and exposure of custom objects appropriately, and produce documentation fit for support and audit. • Collaborate on governance and acceptance: Work with internal CRM stakeholders on backlog prioritization, environment promotion, and routine acceptance of your own work.