# SQA Integration TPM

**Company**: HP Inc.
**Location**: Austin, Texas
**Experience**: senior
**Job type**: full-time
**Salary**: $105,050 to $161,800 USD annually
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Austin-Texas-United-States-of-America/SQA-Integration-TPM_3169528-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_146dac40-93a

## Description

We are seeking a technically strong, highly motivated Technical Program Manager (TPM) to join our Software Quality organisation.

The ideal candidate combines a solid software engineering background with strong analytical skills, technical program management experience, and hands-on expertise in AI and automation.

**Responsibilities**

- Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.

- Strong technical background in software development, firmware, software quality, or systems engineering.

- Experience working with complex software systems and cross-functional engineering teams.

- Solid understanding of software development lifecycles, CI/CD, version control, software testing, and quality engineering practices.

- Experience with Jira, Git, Jenkins, or comparable engineering tools.

- Strong scripting or programming skills, preferably Python.

- Hands-on experience with generative AI, LLMs, and AI-powered automation.

- Ability to design, develop, and integrate AI agents, bots, and automated workflows using APIs and modern AI frameworks.

- Strong analytical and problem-solving skills with the ability to evaluate complex technical information.

- Excellent communication, organisation, and stakeholder management skills.

- Ability to work independently, influence cross-functional teams, and drive technical decisions.

**Preferred Qualifications**

- Experience with embedded software, Android, Linux, or connected devices.

- Background in software integration, SDET, DevOps, or release engineering.

- Familiarity with AI agent frameworks such as LangGraph, CrewAI, or Semantic Kernel.

- Experience with Model Context Protocol (MCP), tool calling, RAG, and multi-agent workflows.

- Experience integrating AI solutions with engineering platforms and development tools.

- Knowledge of automated testing frameworks, CI/CD pipelines, and software quality metrics.

- Experience applying AI to software development, testing, debugging, or engineering productivity.

- Prior technical program management or technical leadership experience.

**Ideal Candidate Profile** We value candidates who are:

- Technically hands-on: Comfortable understanding code, troubleshooting technical issues, and building practical solutions.

- AI-native: Actively using AI in their daily work and capable of creating agents and bots, not simply writing prompts.

- Analytical: Able to assess complex technical problems and make sound, evidence-based decisions.

- Proactive: Identify opportunities for improvement and take ownership without waiting for instructions.

- Influential: Confident working with experienced engineers and technical leaders.

- Adaptable: Comfortable operating in a fast-paced environment with evolving technologies and priorities.

The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).

**Benefits**

- Health insurance

- Dental insurance

- Vision insurance

- Long term/short term disability insurance

- Employee assistance program

- Flexible spending account

- Life insurance

- Generous time off policies, including;

- 4-12 weeks fully paid parental leave based on tenure

- 11 paid holidays

- Additional flexible paid vacation and sick leave

## Skills

### Required
- Python
- Jira
- Git
- Jenkins
- AI
- automation
- software development
- firmware
- software quality
- systems engineering

### Nice to have
- embedded software
- Android
- Linux
- connected devices
- software integration
- SDET
- DevOps
- release engineering
- LangGraph
- CrewAI
- Semantic Kernel
- Model Context Protocol (MCP)
- tool calling
- RAG
- multi-agent workflows

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Source: [Apply at hp.wd5.myworkdayjobs.com](https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Austin-Texas-United-States-of-America/SQA-Integration-TPM_3169528-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)