Forward Deployment Engineer

Run structured discovery with customer admins, IT/security owners, and business stakeholders to map current-state processes, systems, pain points, and desired outcomes.

Design the target workflow in Sprinto across entities, owners, automations, checks, approval paths, evidence flows, questionnaires, and AI-assisted actions.

Configure and deploy customer solutions across Sprinto modules and connected systems; use APIs and custom integrations when native workflows are not enough.

Build technical assets when needed — API mappings, data transforms, simple scripts, test plans, and troubleshooting guides.

Develop on the production codebase to extend feature capabilities across the platform

Own deployment execution from scoping to go-live, including validation, risk management, issue resolution, and structured handoff to CSM/support teams.

Pilot solutions with customers, define success criteria, monitor adoption, and iterate based on exceptions, usage signals, and stakeholder feedback.

Convert repeated customer requests into reusable playbooks, templates, accelerators, and design patterns that improve future deployments.

Partner closely with Solutions Engineers, CSMs, GRC experts, Product, and Engineering to balance customer customisation with repeatability and product direction.

Support escalated post-go-live workflow issues where the fix requires technical depth, process redesign, or new deployment patterns.

Customer problem structuring — ability to convert ambiguous customer conversations into precise, actionable problem statements

Solution design judgment — strong instinct for when to configure, extend, or build from scratch

Full-stack engineering execution — ability to implement production-quality changes across APIs, backend systems, and integrations

Agent-driven development — proficiency in using LLM/agent systems (e.g., clause-based agents) to generate, modify, and validate code

Prompt & workflow design — designing reliable prompts, tools, and execution flows for consistent agent behavior

System integration & APIs — deep understanding of integrating external systems, handling data flow, and managing edge cases

Rapid prototyping & iteration — shipping quick solutions, testing with users, and refining in tight feedback loops

Debugging & adaptability — diagnosing issues across both human-written and agent-generated code

Stakeholder communication — clear, concise communication with both technical and non-technical stakeholders

Product sense & feedback looping — identifying repeat patterns and feeding insights back into product and platform improvements