Take the EDL vision and high architecture as defined, turn it into concrete low-level designs, work packages, explain and hand them to the engineering team, and work with the project managers to deliver on phase deadlines. Hands on ~ 50%, deep enough to review, unblock and set the technical bar. Owns outcomes end to end, finds and fixes problems, and multiplies that reach with AI native way of working.
Compensation
A Competitive pay, the salary range for the role is $135,000 - $145,000.
Responsibilities
Translate vision into design. Take the architectural direction and produce implementable designs, strategize and translate to tasks. Keep the vision and high-level design intact through delivery without redefining the vision or reducing the scope.
Build with AI every day using Claude Code, Codex or similar. Write the markdown specs, skills and context files that make coding effective, and review what they produce to a production standard.
Stay hands on with the Data Lakehouse foundation. Python, PySpark, Delta Lake and medallion design on AIDP (OCI).
Design data products and semantic structures. Blueprints covering scope, canonical entities, certified metrics, quality rules, lineage, access and publication criteria.
Set standards for keys, naming conventions, configuration, reference data and metadata, and keep them aligned to the business glossary.
Hands-on operations role focused on identifying bottlenecks, designing, and building AI-driven automations for internal company tools like lead assignment, agent management, and commission processing.
Compensation
Base salary range: CAD $90,000 to $180,000, with the final offer based on skills and experience.
Responsibilities
Identify operational bottlenecks
Design and build AI-driven automations to replace manual work
Write and commit code on internal tooling using AI coding tools
Set and track success measures for changes (hours saved, error rate, turnaround time)
Pull and read data (SQL, dashboards) to inform fixes
Lead and shape the architecture of Altium 365, a cloud platform for electronics design, ensuring consistency across multi‑region deployments and guiding API strategy, AI integration, and partner solutions.
Responsibilities
Lead domain‑driven design and modelling
Define target architecture and maintain consistency across deployments
Technical lead on new client pursuits, working directly with engineering leaders and business stakeholders at enterprise and high-growth companies, focusing heavily on AI solutions.
Responsibilities
Own new opportunities from a client's first conversation to a signed statement of work
Decide quickly whether each new opportunity is ready to scope or needs a deeper paid engagement first, and write the scope or recommended next step
Run calls and workshops with client engineering leaders, executives, and technical and business stakeholders
Field hard questions from technical and engineering leaders on agents, workflow automation, retrieval, MCP, evaluations, integrations, and security review, and win the technical evaluation against competing firms
Build quick demos or prototypes, often with AI coding tools
Senior Backend Engineer (IC4) for the Growth squad at Clubhouse, responsible for building and shipping experiments to increase user engagement and retention.
Responsibilities
Solve dynamic user problems around new and returning user journeys
Ship experiments at speed
Improve ranking algorithms and personalization models for content discovery and friend suggestions
Make every notification count with better targeting and frequency caps
Iteratively improve a legacy codebase while maintaining long-term maintainability
Own the product direction end-to-end for the Digital Forensics team, turning ambiguous problems into concrete bets and driving them through to shipped capability in a period of rapid growth.
Responsibilities
Own the product direction end-to-end
Navigate rapid growth
Turn signal into direction
Build alignment across Mission and Engineering
Partner with engineering
Requirements
Nice to have: Experience working with operational, mission-driven, or investigative users
Nice to have: Experience with LLM-based systems
Nice to have: Experience with product analytics (SQL)
Nice to have: Experience rapidly prototyping ideas (Figma, AI coding tools)
Nice to have: Experience with digital forensics or investigations
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