Jobs at ProcMart

Lead Retool’s Automation engineering team building workflows, integrations, and AI-driven agents. Set technical strategy and architecture, guide execution, ensure reliability, partner with Product, Design, customers, and go-to-market teams, and coach, recruit, and develop engineers. The role focuses on scalable workflow execution, state management, observability, human oversight, debugging, and dependable AI automation in production.

Lead Retool’s Enterprise Platform engineering team, guiding full-stack development of deployment infrastructure, permissions, audit logging, admin tools, and API/MCP integrations. Set technical strategy and architecture, deliver scalable and secure platform capabilities, partner with product, design, customers, and go-to-market teams, and support AI agent workloads. Coach engineers, manage performance, recruit talent, improve execution processes, and balance customer needs with reliability, security, and long-term maintainability.

Own Retool’s AI monetization, enterprise expansion, and administrative controls. Set product strategy and roadmaps, improve organizational adoption, define usage-based billing and packaging, build metering and spend-control systems, and partner with engineering, design, finance, data, sales, and customer success. Work directly with enterprise customers to understand adoption barriers, measure product and commercial outcomes, and lead initiatives from discovery through launch and iteration.

Build scalable automation systems for Retool Workflows and Agents, including orchestration engines, execution infrastructure, AI integrations, and developer tooling. Partner with Product, Design, and customers to define solutions, own projects from architecture through iteration, improve platform reliability and developer experience, and contribute to technical direction, mentoring, and hiring.

Define the strategy and roadmap for Retool’s enterprise AI platform infrastructure. Lead products for deployment, observability, access controls, audit logging, APIs, infrastructure as code, and MCP. Partner with engineering and enterprise platform teams to solve challenges involving reliability, security, isolation, scaling, resource consumption, and failure recovery for AI agents and applications. Drive initiatives from customer discovery through launch, adoption, and iteration.

Partner with cross-functional leaders to drive strategic decision-making, own end-to-end BizOps projects, analyze data into executive recommendations, run competitive/market analyses, support high-visibility launches, and manage recurring operating processes like OKRs and planning cycles.

The Software Engineer on the Governance team will develop security infrastructure, access controls, and data policies, ensuring Retool's platform is secure and reliable for enterprise clients.

As a Software Engineer at Retool, you will design and build backend features, manage integrations, debug issues, and ensure seamless data availability for users. Your work will focus on enhancing the platform's capabilities and user experience through innovative solutions and customer engagement.

Build and own scalable full-stack systems for enterprise administration, governance, permissions, AI cost controls, data pipelines, and multi-instance management. Partner with product managers, designers, security, and infrastructure teams to solve customer problems across the technical stack. Responsibilities include data modeling, backend systems design, reliable software development, customer-facing interfaces, testing, code reviews, and cross-functional project ownership.

Hands-on role implementing and advising on Retool solutions: build apps, integrate with enterprise systems, enable partners, scope and sell professional services, manage high-visibility engagements, and drive PS practice growth.

Leads strategic business operations at Retool, partnering with executives and cross-functional teams on resource allocation, pricing, prioritization, and high-value initiatives. Owns the company OKR process, drives operational improvements and IPO readiness, and incubates new functions. The role requires strong analytical, communication, organizational, and project execution skills, along with experience in consulting, investment banking, private equity, venture capital, and high-growth technology companies.

The Software Engineer will design and enhance core backend services, ensuring security and efficiency while managing cloud-based infrastructure and collaborating with teams.

You will be a founding member of the Observability team, building and integrating observability platforms, ensuring high availability and reliability of products.

As a Software Engineer at Retool, you will work on full-stack projects, improve UX, debug customer issues, and help recruit engineers.

Lead customer engagements implementing full-stack solutions on Retool: build apps, integrate systems, design scalable cloud architectures, enable partners, scope and estimate projects, provide technical guidance and delivery oversight, and drive professional services offerings and operational scaling.

As a Data Scientist, you will analyze customer behavior and business performance, frame business questions, build models, and enable teams with analytics insights to drive strategic decisions across the company.

The IT Engineer at Retool will design and automate internal tools and workflows, enhancing operational efficiency and security while mentoring junior team members.

Lead full-cycle technical recruiting for engineering roles: source and build pipelines, partner with hiring managers, use metrics to assess pipeline health, drive hiring decisions, and create exceptional candidate experiences while promoting diversity and scalable hiring practices.

The Product Manager will define and scale Retool's automation capabilities, leading automation evolution through workflows, integrations, and AI-driven agents while collaborating closely with engineers and designers.

Lead end-to-end UX research initiatives to inform product and design strategy. Plan, conduct, and analyze qualitative and quantitative studies (usability tests, interviews, in-product surveys), synthesize cross-source insights, and communicate compelling recommendations to product, design, engineering, and executive stakeholders.