Senior Engineering Manager

Clip Automation, Inc.; Fort Worth (TX); Hybrid; USD 180,000 - 225,000; Full time

Benefits offered by this job

Founding equity

Hybrid work model

403(b) / 401(k) benefits

Job summary

Clip Automation, Inc. is seeking a hands-on Senior Engineering Manager to lead the development team and own delivery across the ClipSuite platform. Reporting to the CTO, you will set technical direction while shipping code and mentoring engineers.

You will drive data-intensive architecture, AI/ML integration, and scalable video processing in a hybrid Palo Alto-based role with US-wide travel. This is a fast-moving startup with equity and strong benefits.

Qualifications

• 10–15+ years in software engineering with 5+ years in senior engineering leadership
• Hands-on coding and leadership by example
• Deep cloud knowledge (AWS, GCP, or Azure)
• Experience scaling ML inference workloads or computer vision pipelines
• Bachelor's or Master's in CS/CE or related field
• Strong strategic planning and incident management

Responsibilities

• Define the long-term vision for telemetry, data ingestion, AI/LLM-based highlight detection, and infra
• Contribute as a hands-on developer and lead engineer while managing the team
• Ensure data reliability and source of truth for downstream apps
• Oversee data and video pipelines, GPU clusters, cloud storage, real-time and batch processing
• Design multi-tenant data architecture and lead factory data-source pipelines
• Partner with AI/ML teams to integrate telemetry with products
• Align with Operations, Product, and Sales to roadmap
• Own delivery, release predictability, system reliability, and incident escalation
• Recruit and mentor software engineers and DevOps talent
• Manage AWS, data, tooling budgets and vendor selections

Skills

Hands-on engineering

Cross-functional leadership

Cloud architecture

AI/ML integration

Strategic planning

Incident management

Education

Bachelor's or Master's in CS/CE or related field

Tools

Kubernetes

AWS

GCP

Azure

FFmpeg

GStreamer

Snowflake

Job description

Location: Palo Alto, CA (Hybrid) · Type: Full-time · Reports to: CTO · Level: Director of Engineering / Senior Engineering Manager (hands-on)

About Clip

Senior Engineering Manager/Engineering Manager

Location: Palo Alto, CA (Hybrid) · Type: Full-time · Reports to: CTO · Level: Director of Engineering / Senior Engineering Manager (hands-on)

Clip Automation is an Industry 4.0 company revolutionizing manufacturing operations worldwide. Based in Silicon Valley and founded by former Apple and Juul engineers with 25+ years of experience solving efficiency, productivity, and manufacturing challenges in high-volume production, Clip brings people, processes, and machines together.

ClipSuite, spans cloud and edge and leverages IoT, AI, and ML to deliver industrial data extraction, remote asset video monitoring, real-time collaboration, machine-driven data, and detailed reporting — all in one customizable, user-friendly system. Learn more at clipautomation.com.

The Opportunity

We're looking for a hands-on Senior Engineering Manager/Engineering Manager to lead our development engineering team and own delivery and operations across the ClipSuite platform. Reporting to the CTO, you'll be both the engineering leader and a lead engineer — setting technical direction, managing the team, and still shipping code yourself.

Core mission: Build and scale reliable data acquisition, data warehousing, and high-throughput, low-latency video processing and reporting systems using AI/ML, data architecture, cloud infrastructure, and modern media pipelines.

What You'll Do

• Technical Strategy & Architecture: Define the long-term vision for automated factory equipment telemetry and data, video ingestion, AI/LLM-based highlight detection, and infrastructure
• Hands-on Development: In our small, start-up team structure, contribute directly as a hands-on developer and lead engineer alongside managing the team
• Data Reliability & Validation: Ensure all data, reporting, and telemetry is validated, authenticated, and viable as the source of truth for downstream applications
• Pipeline & Automation Scale: Oversee distributed data and video encoding, GPU clusters, cloud storage, and real-time and batch video processing pipelines handling high data and video throughput
• Data Warehousing: Design and deliver a multi-tier, multi-tenant data architecture; lead factory data-source pipeline development and ongoing services
• AI & Machine Learning Integration: Partner with internal AI/ML engineers and vendors to integrate data and telemetry on Product, Process, People, and Equipment with computer vision
• Cross-Functional Alignment: Work closely with Operations, Customer Engineering, Product, and Sales leadership to translate business goals into a predictable engineering roadmap
• Delivery & Operations: Own engineering execution, release predictability, system reliability, and incident escalation management
• People & Organizational Leadership: Recruit, mentor, and manage software engineers and DevOps/SRE talent; build a high-performing, cross-functional culture
• Resource Management: Manage AWS, data, development, tooling, and audit budgets and cloud compute/GPU burn rates; drive vendor and tool selection (build-vs-buy) and resource allocation

What You'll Bring

• Experience: 10–15+ years in software engineering, with 5+ years in senior engineering leadership (managing managers, or Director/VP level)
• Hands-on Engineering: Still writes production code and can lead by example on architecture and implementation
• Domain Knowledge: Deep familiarity with cloud architectures (AWS, GCP, or Azure), container orchestration (Kubernetes), telemetry, data platforms, and video/media processing
• AI/ML Familiarity: Experience scaling ML inference workloads, large language models (LLMs), or computer vision pipelines for media analysis
• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field
• Core Competencies: Strategic planning, operational execution, stakeholder communication, and incident escalation management

Nice to Have

• MBA or equivalent leadership training
• Experience with GPU infrastructure and video encoding/transcoding at scale (e.g., FFmpeg, GStreamer, NVIDIA)
• Multi-tenant SaaS data warehousing (e.g., Snowflake, Redshift, BigQuery, Databricks)
• Industrial IoT, edge computing, or Industry 4.0 experience
• Manufacturing, production, or operations environment experience

Location & Work Model

Prefer Fort Worth, TX or Indianapolis, IN to be near major install site.

Palo Alto, CA (SF Bay Area) also ok near HQ.

US Preferred. Remote OK. International OK for exceptional candidates.

TRAVEL: 25% to customer site if not in Fort Worth, TX or Indianapolis, IN.

No Work visa sponsorship.

Compensation & Benefits

Startup Level Founding Equity +

Competitive Salary based on experience (US Based $180K-$225K)

Benefits: Excellent Medical, Dental, Vision, Life Insurance, and 401(k).

Equal Opportunity

• Clip is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.