Jobs at Proactis

Lead Retool’s Automation engineering team building workflows, integrations, and AI-driven agents. Set technical strategy and architecture for execution infrastructure, state management, observability, reliability, and human oversight. Partner with Product, Design, customers, and go-to-market teams to shape automation capabilities, drive delivery, and resolve dependencies. Coach engineers, manage performance, recruit talent, and improve team processes while balancing experimentation, reliability, and long-term maintainability.

Lead Retool’s Enterprise Platform engineering team, developing capabilities for enterprise deployment, access control, auditability, administration, integrations, and AI-powered workflows. Set technical strategy, guide architecture, drive delivery, partner with product, design, customers, and go-to-market teams, and balance security, reliability, scalability, and execution speed. Coach engineers, manage performance, improve team processes, and recruit exceptional talent while translating enterprise needs into reusable platform capabilities.

Own Retool’s AI monetization, enterprise expansion, and usage controls. Define product strategy, pricing, packaging, metering, billing, entitlements, budgets, and governance features. Partner with engineering, design, data, finance, sales, and customer success to increase organizational adoption, improve spend predictability, and drive sustainable expansion revenue. Lead projects from customer discovery through launch, measurement, and iteration.

Build scalable systems for Retool Workflows and Agents, including orchestration engines, execution infrastructure, AI integrations, and developer tooling. Own projects from architecture through launch, monitoring, and iteration while improving platform reliability and developer experience. Collaborate with product, design, and customers to solve automation challenges, shape technical direction, review code, and mentor engineers.

Define Retool’s enterprise AI platform infrastructure strategy and roadmap. Lead products for deployment, observability, access control, audit logging, APIs, infrastructure as code, and MCP. Partner with engineering and technical enterprise customers to address reliability, security, scalability, isolation, cost, and operational challenges for AI agents and applications. Drive initiatives from discovery through launch, adoption, and iteration while translating recurring customer needs into durable platform capabilities.

Lead business operations and strategic initiatives across product, engineering, and GTM. Drive end-to-end projects, convert data into executive recommendations, run OKR and planning cycles, perform market and competitive analyses, and support high-visibility launches and cross-functional programs to scale the business.

Drive customer value by architecting and building full‑stack Retool applications, integrating enterprise systems, advising partners, scoping and selling professional services, enabling partners, and leading initiatives to scale the Professional Services practice.

As a Software Engineer on the Governance team, you'll develop systems that ensure security and access control for Retool's enterprise applications, focusing on user-friendly governance solutions.

Build and own scalable enterprise systems across the full technical stack, including administrator onboarding, organizational projects, permissions, AI cost controls, telemetry pipelines, and multi-instance governance. Partner with product, design, security, and infrastructure teams to solve customer problems, improve platform reliability, and make enterprise software management secure, configurable, and self-service.

Lead high-impact business operations initiatives across the executive team, including strategic decision-making, resource allocation, pricing, opportunity evaluation, and OKR management. Build scalable systems and processes, drive cross-functional alignment, report progress and risks to executives, support IPO readiness, and incubate new teams and functions.

In this role, you'll design and manage backend systems to connect external resources, ensuring data accessibility for new use cases, while debugging and building features based on customer feedback.

The Software Engineer will drive the architectural design of core backend services, ensuring efficiency and security. Responsibilities include managing production services and addressing performance bottlenecks while collaborating across teams.

As a founding member of the Observability team, you'll build and promote observability solutions to enhance product performance and reliability across the company.

The IT Engineer will design and build internal tools, automate processes, improve operational efficiency, and mentor team members while enhancing Retool's internal systems.

Lead customer engagements to design and implement full-stack Retool solutions, integrate enterprise systems, enable partners, scope and sell professional services, and guide high-visibility projects while building service offerings and operational processes.

As a Data Scientist at Retool, you will analyze customer behavior and product usage to provide insights that drive business decisions. You'll work with various teams to frame business questions into analytical strategies, identify customer friction, and aid in data-driven decision-making.

The Software Engineer will enhance and build features for Retool's platform, focusing on improving user experience and scalability, while participating in team collaboration and decision-making.

Own full-cycle technical recruiting for engineering roles: source and build pipelines, partner with hiring managers, use metrics to assess pipeline health, advise on hiring decisions, create strong candidate experiences, and contribute to building a diverse, high-performing team at scale.

As a Product Manager, you will define and scale automation capabilities at Retool, driving product evolution and AI integration from concept to customer adoption.

Lead end-to-end UX research initiatives for an enterprise SaaS platform, defining research priorities, running qualitative and quantitative studies (usability tests, interviews, in-product surveys), synthesizing insights, and presenting findings to product, design, and executive stakeholders. Shape research practice, collaborate cross-functionally, and influence product strategy and AI-powered experiences across the organization.