Sr. Manager, Software Engineering - Applied AI at Stacklok

Bellevue, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Enterprise SoftwareIndustries

Requirements

Strong infrastructure sensibilities and deep engineering expertise
Passion for developer technology
Comfortable with strategic thinking, hands-on problem-solving, and coaching a growing team
Thrive in fast-paced environments
Enjoy building high-leverage systems and view versatility as a strength
Ability to quickly develop deep understanding of team’s structure, systems, workflows, and cultural norms
Experience guiding teams through uncertainty of new product categories and collaborating with strategic design partners
Ability to establish clear, sustainable execution rhythms (e.g., backlog planning, milestone tracking, retrospectives)
Skills in hiring exceptional engineering talent and mentoring for growth
Ability to build trust-based relationships across Product, Design, AI Research, and Marketing

Responsibilities

Define strategic direction for the Applied AI Engineering team
Mentor top-tier engineers
Drive development of AI agents that transform conversational interfaces into systems capable of real-world action
Build and scale Applied AI teams focused on integrating large language models (LLMs) with organizational data and tools
Shape hiring strategy
Design engineering processes that support rapid innovation and cross-functional collaboration
Help define the technical vision to position Stacklok at the forefront of enterprise AI
Translate company-wide priorities into team-level clarity and purpose
Help engineers understand how their work connects to broader goals
Deliver secure, enterprise-ready AI solutions that translate AI capabilities into business value

Skills

Software Engineering

Applied AI

AI Agents

Large Language Models

LLMs

Kubernetes

Enterprise AI

Engineering Management

Mentoring

Hiring

Infrastructure

Stacklok

Enhances software supply chain security tools

About Stacklok

Stacklok focuses on improving software supply chain security by helping developers and open-source communities ensure their software and dependencies are secure. Its main product, Trusty, features an "Activity Scoring" system called the Trusty Score, which benchmarks software repository activity using public GitHub data. Trusty also verifies the authenticity of software packages through Sigstore and uses generative AI to recommend safer package alternatives. By offering Trusty as a free service via a web app and Visual Studio Code extension, Stacklok aims to build trust within the developer community.

Seattle, WashingtonHeadquarters

2023Year Founded

$17MTotal Funding

SERIES_ACompany Stage

CybersecurityIndustries

11-50Employees

Benefits

Flexible Work Hours

Hybrid Work Options

Risks

Trusty's reliance on GitHub data may face challenges if access policies change.

Generative AI in Trusty could provide biased recommendations if not properly maintained.

Free model of Trusty may limit revenue without effective premium feature development.

Differentiation

Stacklok's Trusty uses Sigstore for package provenance, ensuring software authenticity.

Trusty Score benchmarks GitHub repository activity, aiding in assessing software trustworthiness.

Generative AI in Trusty suggests safer package alternatives, enhancing developer decision-making.

Upsides

Recent $17.5M Series A funding boosts Stacklok's product development and market expansion.

Shanis Windland's appointment as COO strengthens Stacklok's leadership and operational capabilities.

Growing adoption of Sigstore enhances Trusty's credibility and potential market reach.

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