Solutions Engineer
Bridges technical product capabilities and customer needs during the sales process — designing solutions, running demos, and supporting complex deal cycles.
Common Tools
The tech stack for this discipline
Salesforce
CRMThe world's leading cloud-based CRM platform providing a comprehensive suite for managing customer relationships, sales pipelines, service operations, and marketing automation.
Used for
RevOps teams use Salesforce as the system of record for all revenue data — managing leads, contacts, accounts, opportunities, and forecasts — and as the integration hub that connects all other revenue tools.
HubSpot
CRMAn all-in-one CRM platform combining sales, marketing, service, and operations hubs on a shared contact database, popular with mid-market and growth-stage companies.
Used for
RevOps teams use HubSpot to manage the full customer lifecycle from marketing lead capture through deal close and post-sale support, often replacing multiple point solutions with a unified platform.
Microsoft Dynamics 365 Sales
CRMMicrosoft's enterprise CRM platform tightly integrated with the Microsoft 365 ecosystem — Teams, Outlook, Excel, and LinkedIn — providing sales pipeline management, AI-driven insights, and native ERP connectivity via Dynamics 365 Finance.
Used for
RevOps teams in Microsoft-centric enterprises use Dynamics 365 as the system of record for pipeline, forecasting, and customer data, leveraging native integrations with Teams and Azure to avoid third-party middleware.
Postman
OtherAn API development and testing platform that allows teams to design, test, document, and monitor APIs through a collaborative workspace with a visual interface for building API requests.
Used for
RevOps practitioners use Postman to test CRM and marketing platform API endpoints before building integrations — validating authentication, inspecting response payloads, and debugging field mapping issues in Salesforce and HubSpot APIs.
Figma
OtherA cloud-based collaborative design tool used to create UI mockups, flow diagrams, prototypes, and visual assets, increasingly used by Solutions Engineering and RevOps for process and architecture diagrams.
Used for
Solutions Engineers and RevOps practitioners use Figma to design architecture diagrams of proposed integrations, map out customer-facing process flows, and build compelling visual proposals showing how a product fits into a prospect's tech stack.
Snowflake
Data WarehouseA cloud-native data warehouse platform that separates storage from compute, enabling organizations to store and query massive volumes of structured and semi-structured data across multiple cloud providers.
Used for
RevOps teams use Snowflake as the central analytical layer where CRM, marketing, product, and financial data converge, enabling cross-functional revenue analytics that no single source system can provide.
Tableau
BI/AnalyticsAn enterprise business intelligence and data visualization platform that enables users to build interactive dashboards and reports by connecting to virtually any data source.
Used for
RevOps teams use Tableau to build executive pipeline dashboards, cohort analyses, and forecast views by connecting directly to Salesforce or warehouse data, enabling self-service analytics across revenue functions.
Looker
BI/AnalyticsA Google Cloud business intelligence platform built around a semantic layer (LookML) that defines business metrics once and makes them consistent across all reports and data consumers.
Used for
RevOps teams use Looker to define canonical revenue metrics (ARR, pipeline coverage, win rate) in LookML once, ensuring every team across the business uses the same definitions when querying revenue data.
Python
OtherThe dominant general-purpose programming language used in data science, automation, and analytics, with a rich ecosystem of libraries (pandas, scikit-learn, SQLAlchemy) essential for advanced RevOps work.
Used for
RevOps practitioners use Python to build data pipelines, automate reporting, clean and transform CRM data at scale, build predictive models for churn and lead scoring, and create custom integrations between revenue systems.
Salesforce CPQ
CPQA quoting automation tool native to Salesforce CRM that enables sales reps to configure complex products, apply pricing rules, and generate accurate proposals from within Salesforce.
Used for
RevOps teams use Salesforce CPQ to enforce pricing governance, manage discount approval workflows, ensure quote accuracy across complex product bundles, and sync bookings data directly to revenue recognition systems.
DealHub
CPQA revenue amplification platform that combines CPQ, contract management, digital proposals, and subscription management in a no-code, Salesforce-native environment.
Used for
RevOps teams use DealHub to replace spreadsheet-based quoting with a guided selling experience that enforces product configuration rules, pricing guardrails, and approval workflows without heavy Salesforce development.
Core Skills
What practitioners do day-to-day
Solutions Engineering
CommercialThe technical pre-sales skill of demonstrating product value to enterprise prospects — combining deep product expertise, technical credibility, and business acumen to design and present solutions tailored to buyer requirements.
Business outcome
Effective solutions engineering removes technical blockers that stall enterprise deals — increasing win rates on complex opportunities and shortening sales cycles by proactively answering technical objections before they become deal-killers.
System Architecture
TechnicalThe ability to design the overall topology of a revenue technology stack — mapping how systems connect, where data flows, which system owns each record type, and how the architecture scales with the business.
Business outcome
A well-designed system architecture minimises integration debt, ensures data flows reliably between tools, reduces the cost of adding new capabilities, and prevents the tool sprawl that creates shadow reporting and inconsistent data.
API Integration
TechnicalThe skill of connecting software systems through their application programming interfaces — building, maintaining, and troubleshooting data flows between CRM, marketing, billing, and analytics platforms.
Business outcome
Reliable API integrations eliminate manual data re-entry, reduce reporting lag, ensure system-of-record consistency, and allow the revenue tech stack to operate as one coherent system.
Pricing Strategy
CommercialThe discipline of designing and optimising how a product is priced — including pricing model selection (per-seat, usage-based, tiered), packaging structure, discount policies, and competitive positioning.
Business outcome
A well-designed pricing strategy maximises revenue across customer segments, reduces discount pressure on the sales team, and improves gross margin by aligning price to the value customers receive.
CRM Architecture
TechnicalThe ability to design, build, and maintain the object model, field structure, automation logic, and governance framework of a CRM platform to support revenue operations.
Business outcome
A well-architected CRM reduces data entry errors, ensures forecast accuracy, speeds up rep workflows, and provides the clean data foundation all other revenue analytics depend on.
Dashboard Design
AnalyticalThe skill of designing clear, actionable visual dashboards that translate complex revenue data into insights decision-makers can act on — covering layout, chart selection, metric hierarchy, and interactivity.
Business outcome
Well-designed dashboards reduce the time revenue leaders spend in data extraction and preparation, enabling faster decision cycles, more consistent review rhythms, and broader data literacy across the org.