Mid Level Member of Technical Staff Jobs
Mid level member of technical staff jobs go to engineers ready to own projects end to end, guide junior teammates, and make architectural decisions with limited oversight. Openings are spread across on-site, hybrid, and remote settings in Technology & Software, Artificial Intelligence, and Retail, with employers like Perplexity, Stuut, and Liquid AI hiring at this level now.
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INTRODUCTION
Perplexity is seeking creative, AI native engineers to join our Enterprise Adoption team. Our company is reshaping the way people interact with AI agents within organizations. The Enterprise Adoption team's mandate is to continually uplevel the way our company and our customers use Perplexity Computer as the instrument of that transformation to deliver new ways of working in the agentic future. Just as Perplexity is heralding an agentic future for the internet, you will ensure that the company makes our AI tools and agents a perfect fit for our growing Enterprise business. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Some of your users will be our own teams, from recruiting and go-to-market to finance, legal, support, and operations, and you will engineer the core systems that make Computer an indispensable multiplier of their craft. Learnings from our internal teams will also be applied for our enterprise customers, bringing frontier AI working patterns to external organizations.
ROLE AND RESPONSIBILITIES
- Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach.
- Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways.
- Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale.
- Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements.
- Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer.
BASIC QUALIFICATIONS
- 4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus.
- Daily use of AI models/tools, with strong knowledge on the latest frontier.
- Proficiency with Python, along with experience and/or TypeScript, Go, and other languages.
- Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users.
- Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.)
- Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
COMPENSATION
- Compensation Range: $220K - $405K
INTRODUCTION
Perplexity is seeking creative, AI native engineers to join our Enterprise Adoption team. Our company is reshaping the way people interact with AI agents within organizations. The Enterprise Adoption team's mandate is to continually uplevel the way our company and our customers use Perplexity Computer as the instrument of that transformation to deliver new ways of working in the agentic future. Just as Perplexity is heralding an agentic future for the internet, you will ensure that the company makes our AI tools and agents a perfect fit for our growing Enterprise business. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Some of your users will be our own teams, from recruiting and go-to-market to finance, legal, support, and operations, and you will engineer the core systems that make Computer an indispensable multiplier of their craft. Learnings from our internal teams will also be applied for our enterprise customers, bringing frontier AI working patterns to external organizations.
ROLE AND RESPONSIBILITIES
- Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach.
- Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways.
- Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale.
- Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements.
- Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer.
BASIC QUALIFICATIONS
- 4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus.
- Daily use of AI models/tools, with strong knowledge on the latest frontier.
- Proficiency with Python, along with experience and/or TypeScript, Go, and other languages.
- Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users.
- Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.)
- Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
COMPENSATION
- Compensation Range: $220K - $405K
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Mid Level Member of Technical Staff Jobs: Frequently Asked Questions
How do I get a mid level member of technical staff job?
Position yourself around ownership, not just contribution. Highlight projects where you drove decisions, debugged complex systems independently, or improved reliability at scale. Hiring managers at this level want evidence that you can take a problem from ambiguity to shipped solution without constant direction. Tailor your resume to show scope of impact, not just a list of technologies you have used.
Which companies hire mid level member of technical staffs?
Companies hiring mid level member of technical staffs right now include Perplexity, Stuut, and Liquid AI, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, from growth-stage startups building out their core engineering teams to large technology and enterprise organizations expanding existing product lines.
Are there remote mid level member of technical staff jobs?
Yes, remote and hybrid options are well represented at this experience level. About 7% of mid level member of technical staff openings are remote or hybrid as of November 2026, reflecting strong employer demand for experienced individual contributors who can operate with minimal in-office coordination. Fully on-site roles still exist, particularly at companies with hardware, infrastructure, or lab-based work.
How do I move up to a mid level member of technical staff role?
The path into mid level is built through demonstrated ownership over time. Focus on deepening expertise in one or two core areas rather than staying broad, and look for opportunities to lead a feature or project from design through delivery. Receiving and acting on code review feedback, contributing to architectural discussions, and showing measurable impact on reliability or performance are the signals that move a career from junior to mid level.
Which industries hire the most mid level member of technical staffs?
Mid Level member of technical staff roles concentrate in Technology & Software, Artificial Intelligence, and Retail, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they require engineers who can operate with meaningful autonomy on complex, high-stakes systems where reliability, scalability, and security demand more than entry-level experience.