# Head of Engineering

- Company: [Base Operations](<https://jobstar.asia/company/base-operations>)
- Location: Washington DC
- Remote: Yes
- Team: Engineering
- Employment type: Full Time
- Posted: August 14, 2026

## Job description

# 

![](data:image/png;base64,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)

# Head of Engineering

**Base Operations, Inc. | Washington, DC (Hybrid)**

## About Base Operations

Base Operations builds AI-powered physical threat intelligence software for global enterprises and U.S. federal/defense agencies. Our platform — including BaseEngine, BaseScore, and BaseCoPilot — helps security, risk, and operations teams understand and act on real-world threats faster than legacy intelligence tools allow. We're a dual-use company: the same core technology serves Fortune 500 security teams and U.S. government customers, which means our engineering org has to meet a high bar for both commercial velocity and federal-grade rigor.

We're a Series A company scaling fast, and this role is foundational to how we build, ship, and scale engineering as a discipline — not just as a function.

## The Role

We're hiring a **Head of Engineering** to own the technical backbone of our engineering organization. This is a hybrid IC/leadership role: you'll be hands-on enough to make real architectural decisions, structured enough to run delivery like a program, and fluent enough in modern AI tooling and workflows to help the team build *with* AI, not just build AI products.

You'll report into our CEO — and will be one of the senior-most technical leaders shaping how Base Operations' engineering team scales. You’ll work hand in hand with our VP Product who has established and is responsible for the delivery cadence, roadmap decision framework and overall product and engineering operating model that drives our unified dual use strategy.

## What You'll Do

### 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.

## What We're Looking For

* **10+ years of progressive experience** spanning software engineering, data architecture, and engineering management, with at least 3 years in a formal people-leadership role (Engineering Manager, Director, or equivalent).
* Demonstrated experience owning **data architecture decisions** at scale — not just using data infrastructure, but designing it.
* Strong **program/delivery management** instincts — comfortable owning timelines, measuring level of effort and cross-functional coordination with Eng & Product leads.
* A genuine **builder background** — enough recent hands-on engineering experience to earn technical credibility with your team and make real architectural and development decisions.
* Proven ability to **hire, manage, and grow engineers**, with a track record of building functional, high velocity teams.
* **Native fluency with modern AI tools** — daily use of AI coding assistants/agents in your own workflow, and a point of view on how AI changes engineering org design, hiring, and velocity.
* Comfort operating in a **dual-use environment** — security-conscious by default, and willing to learn the federal compliance landscape (FedRAMP, CMMC, CUI handling) as it applies to engineering.
* Startup experience, ideally at Series A–B stage, where ambiguity is normal and the team is still being built.

## Nice to Have

* Prior experience at a company serving both commercial and federal/defense customers.
* Experience with threat intelligence, geospatial/OSINT data, or security-adjacent platforms.
* Existing or prior eligibility for a U.S. government security clearance.
* Experience standing up engineering processes from scratch at an early-stage company (not just operating within an existing one).

## Logistics

* **Location:** Washington, DC preferred (hybrid); will consider strong remote candidates with regular DC travel.
* **Reports to:** CEO
* **Team:** Oversee team of Developers, Data Analysts, ML Engineers, Data Engineers, DevOps
* **Travel:** Occasional, primarily for team offsites and senior leadership engagements

## Apply

[Apply on Base Operations](<https://jobs.ashbyhq.com/base-operations/28e1dec6-c8e5-4f57-b5fe-964668c86942>)

Canonical job page: <https://jobstar.asia/job/head-of-engineering-base-operations-washington-dc-56cbb19fe1cf9cc9>
