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About the Role
Own the technical layer beneath Cadre's productized engagement library, ensuring components are built once, configurably, and reused across clients. Decompose blocks into named components, track reuse value, and prioritize productization based on impact. Make final calls on whether new client requests require existing blocks, component assemblies, or net-new engineering, directly influencing hours and margin.
Responsibilities
- Decompose every block in Cadre's library into named technical components and product requirements, each with a defined configuration surface, an owner, and a maturity rating.
- Define the classification framework that determines what qualifies as a reusable module versus a client-specific build.
- Establish naming, versioning, and documentation standards so any engineer can find, update, or deploy an existing component without assistance.
- Maintain the component catalog as the single source of truth for what Cadre can assemble versus what it must build from scratch.
- Track attachment rate for every component, including how many sold engagements include it and its value in engineering hours.
- Prioritize which components get built configurably next, weighing attachment rate, build cost, and margin impact.
- Report net-new engineering hours as a percentage of total quoted hours, by block and by quarter, as the primary measure of portfolio leverage.
- Identify blocks that are configuration variants of one another and consolidate them into a single parameterized component.
- Hold final sign-off on how every new client request is scoped: an existing block, an assembly of existing components, or net-new engineering.
- Act as the ultimate responsible party for guiding the Solution Architecture and engineering teams on when a new technical component should be built, and work closely with Engineering to architect how to build those components.
- Partner with Strategy and Sales during client deep dives to translate requirements into component-level scope before pricing is set, attending client meetings as needed for direct feedback.
- Approve engineering hours on pricing sheets to ensure Cadre does not quote builds for infrastructure that already exists in the catalog.
- Push back when a request is being scoped as bespoke work that existing components already cover.
- Define what parameterized means at Cadre: the bar a component must clear before it counts as reusable rather than forked.
- Drive high-attachment components from bespoke implementations to productized, configurable modules alongside the engineering organization.
- Identify existing builds as strong candidates to be turned into components, and map new builds against the catalog to identify reuse opportunities at the outset.
- Own the process for versioning and updating components as client deployments surface new configuration requirements.
- Recommend upgrades to existing deployments when components are enhanced; partner with the Service Expansion team to do so.
- Operate hands-on, reading code and performing decomposition work directly.
- Partner tightly with the engineering team to rapidly assess the current state of configurability and establish a clear future state vision.
- Raise the reuse instinct across Cadre's engineering organization so solutions are built from component configurability.
- Over time, work with a small team of engineers to build out the highest-leverage components, setting technical direction and reviewing standards as needed.
Requirements
- 10+ years building production software, including at least 3 in a role owning architecture decisions across multiple products or client engagements.
- Proven experience turning bespoke, one-off builds into reusable configurable components, with the judgment to know which were worth productizing.
- Deep fluency with modern AI application patterns including LLM orchestration, retrieval, document processing pipelines, voice agents, and agentic workflows, with production systems to demonstrate.
- Comfort working directly in the codebase, evaluating abstraction boundaries, and making technical calls.
- Strong command of the stack Cadre builds on, including TypeScript and Node, Python, Next.js, Postgres or Supabase, and cloud deployment across Vercel, Render, or AWS.
- Ability to translate technical architecture into commercial terms (hours, cost, scope, and margin) and defend an estimate to sales and clients.
- Track record of establishing standards that are followed.
- Willingness to hold the line and inform colleagues when a bespoke build is unnecessary.
- Comfort making prioritization calls with incomplete information.
- Appetite to grow into a leadership role, starting hands-on and building a team.
- Excellent written communication skills for documentation that the entire company depends on.
Skills
- AI strategy
- AI integration
- Production AI systems
- Technical architecture
- Component-based design
- Configuration management
- Productization
- Reuse economics
- Prioritization
- Solution architecture
- Sales partnership
- Pricing strategy
- Codebase analysis
- Abstraction boundaries
- TypeScript
- Node.js
- Python
- Next.js
- Postgres
- Supabase
- Vercel deployment
- Render deployment
- AWS deployment
- LLM orchestration
- Document processing pipelines
- Voice agents
- Agentic workflows
- Versioning
- Documentation standards
- Written communication
Experience Level
- 10+ years of experience
- 3+ years in architecture decisions
Benefits
- Real ownership of the component layer
- Compounding leverage from productized components
- AI-native culture with AI used for operations
- Access to frontier AI models through partnerships
- Upside in a bootstrapped, profitable, and fast-growing company
- Room to move into new teams and initiatives
- No bureaucracy, small and scrappy team
- Clear accountability
- Best idea wins culture
About the Company
- Cadre AI is an AI strategy and integration firm that builds production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS.
- We ship systems that move revenue, compress costs, and automate work.
- We are bootstrapped, profitable, and growing fast.