Sooryakanth K PProduct Manager • Platform + AI + Enterprise
I build platform products that ship. I’ve led enterprise integrations, designed systems that scale, and turned messy requirements into clean execution. I’m strongest where product, architecture, and GTM collide.
Experience that built me
Kissflow
- Built the AI Copilot, Grid UI, and Frontend Interaction Framework
- Owned core platform capabilities (builder UX, components, governance) with a bias for shipping.
- Designed product architecture across pages/forms/workflows to reduce complexity for non-technical users.
- Partnered with engineering on scalable patterns (permissions, data models, integrations).
- Pushed AI capability where it changes outcomes, not where it looks flashy (assistants, generation, automation).
Kissflow
- Led GTM strategy for major platform launches, including Developer Hub and Governance.
- Built and owned the competitive intelligence function, contributing to a 15% increase in win-rate.
- Created solution architectures, demo applications, and enterprise enablement assets.
- Authored the Guide to the Low-code Landscape ebook and built multiple high-performing landing pages.
How I work
Hypothesis → Experiment → Ship
I treat product like a system. I write the bet, pick the smallest test, and push it to users fast.
- Define the decision to be made (not just the feature).
- State a falsifiable hypothesis with success metrics.
- Design the smallest experiment that can kill or confirm the bet.
- Ship behind flags, measure, and iterate without ego.
Instrument first, argue later
If we can’t measure it, we’re just debating taste. I force instrumentation into the plan.
- Event taxonomy + funnels + guardrail metrics.
- Pre/post snapshots so impact is obvious.
- Qual + quant: sessions, logs, support signals.
- Decision memo: what changed, what we learned, what we do next.
Enterprise reality checks
I pressure-test every idea against security, governance, and scale before it becomes expensive.
- Roles/permissions and admin controls are not optional.
- Edge cases get designed, not discovered in production.
- Backward compatibility, migration paths, rollout strategy.
- Operational posture: supportability, observability, failure modes.
Iteration with taste
Fast doesn’t mean sloppy. I iterate toward clarity: fewer steps, less cognitive load, more flow.
- Cut scope, not outcomes.
- Prototype interactions early (especially builder UX).
- Tradeoffs documented: what we’re not doing and why.
- Polish pass only after the loop proves value.
How I’m different
I’ve worked inside these functions — so my product decisions survive demos, rollouts, and real users.
I don’t collaborate *around* these functions — I’ve worked *inside* them. That changes how I design products, write specs, run demos, and make tradeoffs.
How AI fits into my work
AI as daily workflow, not a feature
AI is embedded into how I think, research, and write. I use multiple agents daily for discovery, competitive analysis, one-pagers, PRDs, and decision memos.
- Agent-driven research for markets, competitors, and technical feasibility.
- Structured outputs: crisp one-pagers, PRDs, tradeoff docs.
- Prompt systems refined over time, not one-off chats.
- AI used to accelerate thinking, not replace it.
Prototype-first AI PM
I don’t wait for engineering to validate ideas. I build working prototypes to test flows, constraints, and edge cases.
- Rapid prototyping using Claude Code, Gemini CLI, and Codex.
- Use code generation to explore architectures, not just UI.
- Translate prototypes directly into engineering-ready specs.
- Shorten idea → validation → execution cycles.
Model-aware decision making
I actively test and compare models so I know which ones work best for coding, writing, reasoning, and analysis.
- Regularly benchmark models across real PM tasks.
- Understand strengths, failure modes, and cost tradeoffs.
- Avoid hype-driven decisions; choose models by fit.
- Stay current as the model landscape evolves.
AI beyond work
I look for places where AI meaningfully improves life, not just products. Some of my experiments run outside the cloud.
- Local LLMs running personal workflows at home.
- Privacy-aware, offline-first experimentation.
- Automation for personal knowledge, routines, and control systems.
- Continuous mindset: what else can be made better with AI?
Selected builds
AI App Builder
AI Low-code platform to build AI-powered business apps, no code required.
- Led the development of an AI Powered app builder.
- Owned AI architecture including data ingestion, model selection, prompt tuning, evaluation.
- Defined user flows, data models, integrations, agent pipelines, and builder UX.
Grid UI Framework
Highly flexible, performant, and user-friendly grid canvas for visual UI-building.
- Led design and delivery of a grid-based UI framework enabling modular, scalable application interfaces.
- Introduced a foundational layout abstraction that improved flexibility while preserving usability for non-technical builders.
Solution Architecture for a Global Consumer Intelligence Firm
Enterprise-grade platform integrations: data pipelines, retailer onboarding, command center.
- Worked on enterprise platforms for a global consumer intelligence firm serving Fortune 500 clients.
- Led the PreSales solution architecture for retailer onboarding workflows, integrating with existing data landscapes.
- Designed architecture for a Global Command Centre that unified fragmented systems into a single operational view.
AI Competitive Intelligence
Auto-build battlecards, deltas, and POV from documents + web signals.
- Designed doc-to-insight pipeline: ingestion → extraction → comparison → summary.
- Defined eval criteria to avoid hallucinations and force citations.
- Optimized for PM workflows: fast scanning + decision-ready structure.
Product Training for Leading Southeast Asian telecom operator
Built product training modules to drive adoption of low-code platform internally.
- Developed comprehensive product training modules for a leading Southeast Asian telecom operator.
- Created role-based learning paths to ensure effective adoption across diverse teams.
- Delivered solutions that enhanced user proficiency and accelerated platform adoption.