layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Head of Engineering at Base Operations | LAYIQ

Data Architecture & Platform Strategy
Own the long-term data architecture strategy across our threat intelligence pipelines, ensuring systems scale cleanly as data volume, data types, customer count, and federal compliance requirements grow.
Make platform decisions (storage, pipelines, data modeling, database/data warehousing, ML/AI Ops) that balance speed, cost, and the dual-use constraints of serving both commercial and federal customers (e.g., data segregation, CUI handling, FedRAMP/CMMC-adjacent considerations).
Partner with product and GRC on data governance, lineage, and security-by-design as the platform matures.
Program & Delivery Management
Implement industry-standard program management discipline for engineering delivery — technical debt & product roadmaps, sprint cadences, dependency tracking, release velocity tracking, and risk surfacing — without slowing the team down with process for its own sake.
Own predictability: leadership and the board should be able to trust engineering's commitments and timelines.
Run cross-functional planning with Product and GTM to align engineering output with enterprise and federal sales cycles.
Software Engineering Leadership
Stay technical and hands-on where it matters — code review, architecture decisions, and unblocking hard technical problems, not just status reporting.
Set and enforce engineering standards: code quality, testing, CI/CD, security practices, and technical documentation.
Drive decisions on system architecture, tech stack evolution, and technical debt prioritization.
Team Leadership & People Management
Manage, mentor, and grow a team of engineers, including hiring, performance management, and career development.
Build a healthy engineering culture at a stage where the team is scaling quickly — clear ownership, high trust, low ego.
Act as the connective tissue between individual contributors and company leadership, translating technical realities into business terms and vice versa.
AI Operations & Applied AI Fluency
Bring native fluency in modern AI development workflows — using AI coding assistants, agentic tools, and LLM-based systems as a default part of how the team builds, not as a novelty.
Identify where AI can responsibly accelerate engineering velocity (code generation, testing, internal tooling) and where it introduces risk that needs guardrails (especially given our federal customer base).
Help define how Base Operations' own product uses AI under the hood — model selection, evaluation, reliability, and cost tradeoffs — in close partnership with product and applied data science talent.

Head of Engineering

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