RevOps & GTM Engineering for B2B SaaS
We design, build, and optimize the systems behind revenue growth, from CRM architecture and workflow automation to custom AI agents and connected GTM infrastructure.
RevOps strategy meets hands-on systems engineering.
Your GTM stack should work as one connected system.
Fragmented revenue operations
- Inconsistent CRM data
- Unclear lifecycle stages
- Broken lead routing
- Unreliable reporting
Manual GTM processes
- Repetitive research
- Manual data enrichment
- Time-consuming CRM maintenance
- Disconnected handoffs
Limited automation
- Native workflows cannot handle every requirement
- Multiple tools need manual coordination
- Important signals are missed
- Processes are hard to maintain
Limited revenue visibility
- Unclear pipeline attribution
- Inconsistent reporting
- Weak data quality controls
- Little insight into account and deal risk
Fix the revenue foundation. Engineer the systems that make your GTM work.
RevOps Consulting
Build a reliable revenue foundation.
I improve the processes and infrastructure behind your revenue operations, including:
- CRM architecture and rebuilds
- Lifecycle and lead management
- Lead routing and assignment
- Data quality and governance
- Workflow automation
- Reporting and attribution
- Sales and marketing process alignment
GTM Engineering
Engineer the systems that extend your GTM capabilities.
I build and connect the technical workflows that help revenue teams operate more effectively:
- Custom AI GTM agents
- Account and buying-signal intelligence
- Advanced workflow orchestration
- Data enrichment and normalization
- APIs and cross-tool integrations
- Outbound systems and automation
- Custom data pipelines and monitoring
Practical systems. Built around real GTM problems.
Each project shows its actual status. These are my own builds and demonstrations, not client results.
CRM Data Quality Auditor
Problem: Teams cannot tell how reliable their CRM data is.
What it does: Audits fields, associations, duplicates and source tracking, and returns severity-ranked findings with impact and a recommended fix.
Python · HubSpot API
Buying Signal Detection Agent
Problem: Relevant company events, such as hiring activity, are noticed late or not at all.
What it does: Detects buying signals and attaches the evidence for each, so sales sees why an account matters.
AI Lead Intelligence for HubSpot
Problem: Buying signals are scattered across tools, so priorities are unclear.
What it does: Combines signals into an explainable score, drafts an evidence-based brief, and proposes CRM updates for approval.
Interactive demo · fictional data
From operational problem to working system.
- UnderstandReview the business problem, process, tools, and constraints.
- DesignDefine the workflow, architecture, business logic, and controls.
- BuildImplement the CRM changes, automations, agents, and integrations.
- ValidateTest outputs, permissions, error handling, and data quality.
- DeployLaunch within the agreed scope and document the system.
- OptimizeMonitor and improve the system through an ongoing engagement when required.
Not every engagement needs a separate paid audit. Known, well-defined projects can move straight to scoping and implementation.
Two ways to work together.
Implementation Projects
Defined scope, deliverables, timeline, and acceptance criteria.
Ongoing RevOps & GTM Engineering
Monthly capacity for agreed improvements, maintenance, new workflows, and system optimization.
Evidence over claims.
I show the architecture, the working demonstration, the technical decisions and the limits of each build. Every project carries a status label, and I do not publish results I cannot document.
Working demonstrations
An interactive lead-intelligence demo you can use now. Its data is fictional and its integrations are simulated, and it says so on screen.
Clear status labels
Prototype, In Development, Built & Tested or Client-Deployed. A label is used only when it describes that project.
Governance by design
Validation before CRM writes, human approval for sensitive changes, audit trails and documented limitations.
Who this is for: B2B SaaS teams, often around $1M–$10M ARR and 10–100 people, with an existing CRM and clear operational problems. That is a starting point, not a requirement. Smaller and larger teams are welcome to ask.
What would you like to improve or build?
Whether you need a CRM rebuild, an advanced automation, a custom AI agent, or ongoing RevOps support, let's define the right solution for your business.