Product Engineering (Multiple Roles)
ChatGPT Jobs · Austin, TX
- On site
- Full-time
- $145,000 / year
- Austin, TX
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Fully remote work, hiring this week. Mercor's average is $124/hr.
Job highlights
- Full-time Product Engineer roles available.
- Hybrid work model strongly preferred in Austin, TX.
- Focus on AI integration in product development.
- Unique application process: hands-on challenge.
- Competitive salaries and hourly rates offered.
About the role
Product Engineering Roles
Living Security is seeking talented Product Engineers to join their growing team. This is a fantastic opportunity to work in a fast-paced B2B SaaS company focused on human risk management, leveraging AI at the core of their product development and engineering workflows.
About The Company
Living Security is a B2B SaaS company dedicated to helping enterprise security teams understand and reduce the human element of risk. They operate with a small, high-output engineering team model and integrate AI deeply into their processes, including AI-generated content, risk scoring, AI-native features, and AI tools for daily engineering tasks.
Open Positions
- Full Stack Product Engineer: Ship across the whole product with AI tools as core workflow. Judgment to catch AI when wrong. Salary: $110–145k
- Product Engineer, Customer Experience: Sit close to customers, own escalations end to end. Ship the fix the day you understand the problem. Salary: $95–125k
- Product Engineer, Data: Own the pipelines and the numbers. Plausible-but-wrong is the expensive kind of wrong. Salary: $115–145k
- AI-Native Engineering Intern: Build internal tools: scripts, dashboards, fixes. Pay: $25–35/hr
How to Apply
Living Security uses a unique, efficient application process. Skip the traditional resume pile! The application involves a short, hands-on challenge that takes approximately five minutes. Completing this challenge directly leads to an interview, bypassing the recruiter screen. AI tools are encouraged, but sharp judgment is the key quality they seek.
Apply here: https://engineering.livingsecurity.ai
Key skills/competency
- Product Engineering
- Full Stack Development
- Customer Experience
- Data Pipelines
- AI Native Development
- SaaS
- Human Risk Management
- Problem Solving
- Judgment
- AI Tools
Skills & topics
- Product Engineer
- Full Stack Engineer
- Data Engineer
- Customer Experience
- AI
- SaaS
- B2B
- Risk Management
- Austin
- Remote
How to get hired
- Tailor your application: Focus on the hands-on challenge; AI tools are welcome but judgment is key.
- Showcase AI judgment: Demonstrate your ability to critically assess and correct AI outputs in your challenge response.
- Highlight customer focus: For the CX role, emphasize experience with direct customer interaction and end-to-end problem resolution.
- Emphasize data ownership: For the Data role, showcase expertise in pipelines and ensuring data accuracy.
- Prepare for direct interviews: Successfully completing the challenge leads straight to an interview, bypassing recruiter screens.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for Product Engineer roles at Living Security?
- Living Security uses a unique application process that bypasses traditional resumes. Candidates complete a short, hands-on challenge (approx. 5 minutes). Passing this challenge directly qualifies you for an interview, skipping the recruiter screen.
- Are AI tools permitted during the application challenge for Product Engineer positions?
- Yes, AI tools are explicitly welcome during the application challenge for Product Engineer roles at Living Security. However, they emphasize that sharp judgment is the most critical quality they are looking for.
- What is the preferred work arrangement for the Product Engineer roles at Living Security?
- The company strongly prefers a hybrid work arrangement for their Austin, TX location. However, they are open to US-remote candidates for the right person, provided they have US work authorization.
- What are the salary ranges for the Product Engineer positions at Living Security?
- Salaries vary by role: Full Stack Product Engineer ($110–145k), Product Engineer, Customer Experience ($95–125k), and Product Engineer, Data ($115–145k). The AI-Native Engineering Intern position pays $25–35/hr.
- Does Living Security offer visa sponsorship for their Product Engineer roles?
- No, Living Security requires all candidates to have US work authorization and does not offer visa sponsorship for these Product Engineer positions.
- What is the core focus of the Product Engineer, Data role at Living Security?
- The Product Engineer, Data role involves owning data pipelines and ensuring the accuracy of numbers. The company stresses the importance of avoiding 'plausible-but-wrong' data, highlighting the critical nature of this role.
- What kind of projects would an AI-Native Engineering Intern work on at Living Security?
- An AI-Native Engineering Intern would focus on building internal tools, which may include scripts, dashboards, and fixes, contributing directly to the engineering team's workflow and efficiency.