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Member Of Technical Staff (Ai Software Engineer, Agents)

perplexity

San Francisco
Development AI Account Manager

Job Score

100 pts
On-site model (+70) Development (+10) AI (+10) Account Manager (+10)

Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer (our platform for generalized frontier intelligence), the Comet ecosystem, our Agent API, and more.

Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including:

  • Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;

  • Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;

  • Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding;

  • Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;

  • Designing optimal data representations and modes of interaction between agents and their environments;

  • and much, much more.

Responsibilities

  • Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users.

  • Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space.

  • Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.

  • Ensure a high craft and quality bar, in both AI agent performance and user experience.

  • Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa.

  • Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team.

Qualifications

  • Strong foundational familiarity with the full AI product stack.

  • Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).

  • Significant experience in at least one of the following areas:

    • Context engineering and tool interfaces for frontier AI models

    • Post-training and reinforcement learning (particularly for multimodal models)

    • Browser technologies (CDP, Playwright, extension development, etc.)

  • Strong product intuition and taste for user experience excellence.

  • Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership.

  • A passion for shipping products that surprise and delight.

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About Software Development

Software Development is one of the most dynamic and constantly evolving fields in the job market. Professionals in this area are responsible for creating, maintaining, and optimizing web, mobile, and desktop applications that impact millions of users daily.

Key languages and frameworks include JavaScript (React, Node.js, Vue.js), Python (Django, Flask), Java (Spring), PHP (Laravel), and TypeScript. Demand for full-stack developers continues to grow, especially in tech companies and startups.

Salaries range from entry-level to senior positions, with growing opportunities for remote work and international freelancing.

About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

About Account Manager

The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.

Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.

Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Systems Analyst

The Systems Analyst is the professional responsible for analyzing, designing, and implementing technology solutions that meet business needs. They act as a bridge between business areas and the development team, ensuring that systems deliver real value to the organization.

Key skills include requirements gathering and analysis, process modeling (BPMN), data modeling, technical and functional documentation, system integration (APIs, microservices), and knowledge of ERPs and CRMs. Tools like Jira, Confluence, Visio, and project management platforms are essential.

Systems Analysts in technology companies are highly valued, especially those who master agile requirements analysis (user stories, backlog), system integration, and solution architecture. The field offers opportunities from junior analyst to solution architect, with a focus on efficiency, quality, and technological innovation.

About Product Manager

The Product Manager (PM) is the professional responsible for defining the strategy, vision, and roadmap of a digital product. They work at the intersection of technology, business, and user experience (UX), leading the discovery and delivery of solutions that solve real problems in a viable way for the company.

Key skills include product discovery, data and metrics analysis (AARRR, NPS, LTV), user research, go-to-market strategy, roadmapping, strategic prioritization, and leadership by influence. Tools like Amplitude, Mixpanel, Hotjar, Jira, and Notion are fundamental.

Product Managers play a central role in the growth of startups, scale-ups, and large technology companies, with career progression opportunities to Product Leader, Head of Product, and Chief Product Officer (CPO).

About Cloud Solutions

The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.

Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.

Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.

About Web3

The Web3 area represents the new phase of the decentralized internet, built on blockchain technology. Web3 professionals create decentralized applications (dApps), interact with smart contracts, manage digital assets (cryptocurrencies and NFTs), and utilize DeFi (Decentralized Finance) protocols, revolutionizing how data, ownership, and finance are managed online.

About Audiovisual

The Audiovisual area is responsible for producing, editing, and creating video and audio content for various platforms. With the exponential growth of digital content, audiovisual professionals are fundamental for brands that want to communicate visually and impactfully.

Key skills include video production and editing (Premiere Pro, DaVinci Resolve, Final Cut), motion graphics (After Effects), animation (Blender, Cinema 4D), sound design, podcast production, live streaming (OBS Studio), and photography. Knowledge of visual storytelling, rhythm, and art direction is a differentiator.

Audiovisual professionals in technology companies are highly valued, especially those who master motion graphics, social media videos, and content for digital platforms. The field offers opportunities from videomaker to head of audiovisual, with a focus on creativity, technical quality, and storytelling.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

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Design Career Guide

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Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

The Current State of the Cloud & DevOps Market

By Mondywork | The ultimate guide for tech professionals looking to level up their careers, land global remote roles, and master modern infrastructure.

The End of the "SysAdmin" and the Rise of Platform Engineering

If you've been tracking the most sought-after roles at startups and Fortune 500 companies, you've probably noticed a drastic shift. The Cloud Computing and DevOps market is no longer just about "keeping the app online." Today, companies demand extreme resilience, automation, and cost optimization (the famous FinOps).

DevOps culture has evolved. We are now in the era of Platform Engineering, where infrastructure teams build internal platforms to grant developers full autonomy (Self-Service). For those aiming for global remote roles with six-figure compensation, understanding this transition isn't just a plus—it's a strict requirement.

"Elite DevOps teams deploy code 973 times more frequently and boast a Mean Time To Recovery (MTTR) that is 6,570 times faster than low-performing teams."

— State of DevOps Report (DORA / Google Cloud)

What Do Recruiters and ATS Systems Really Look For?

Automated filters (ATS platforms like Greenhouse, Ashby, and Workday) are hardwired to scan for a very specific set of skills in Cloud/DevOps resumes. Simply listing 20 tools won't cut it anymore; you must demonstrate culture and real-world impact.

  • Infrastructure as Code (IaC): Forget clicking around the AWS console. Declarative tools like Terraform, Pulumi, and Ansible are the true industry standards.
  • Container Orchestration: Mastery of Docker and, above all, Kubernetes (K8s) is practically mandatory for premium roles.
  • CI/CD Culture: Building automated pipelines (GitHub Actions, GitLab CI, ArgoCD) that guarantee continuous and secure deployments.
  • Cloud Providers and Architecture: Proficiency in at least one major public cloud provider (AWS, Google Cloud, or Microsoft Azure), with a strong focus on Serverless, microservices, and system resilience.

How to Transition: The Roadmap to Success

Many Back-End developers, support analysts, and network professionals want to pivot to Cloud and DevOps. If that's your goal, follow this market-validated roadmap:

  1. Master the Basics (Linux and Networking): Modern DevOps runs on Linux. Understanding permissions, processes, bash scripting, and the fundamentals of TCP/IP, DNS, and Load Balancers is your foundation.
  2. Learn to Code: A DevOps engineer doesn't need to be a Senior Developer, but you must know how to automate tasks. Python and Go (Golang) are currently the most highly valued languages in this ecosystem.
  3. Are Certifications Worth It? Yes, especially to get past the initial HR screening. Certifications like the AWS Certified Solutions Architect – Associate or the CKA (Certified Kubernetes Administrator) carry massive weight in the global market.
  4. Build a Real Portfolio: Publish a project on GitHub where you provision infrastructure via Terraform, set up a CI/CD pipeline using GitHub Actions, and deploy a simple app to a Kubernetes cluster. Practical projects always beat theoretical resumes.

Essential References and Study Links

To stay up-to-date, we highly recommend following official organizations and annual market reports:


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