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Applied Ai Architect, Perplexity Computer

perplexity

San Francisco
AI Systems Analyst

Job Score

90 pts
On-site model (+70) AI (+10) Systems Analyst (+10)

Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication.

About the role

Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address.

Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome.

This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering.

What you'll do

  • Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers.

  • Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow.

  • Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping.

  • Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion.

  • Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling.

  • Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage.

  • Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure.

  • Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria.

  • Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback.

What we're looking for

The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery. You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome.

Must-haves

  • 5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership.

  • Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan.

  • Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting.

  • Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure.

  • Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path.

  • Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential.

  • Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers.

  • High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly.

  • AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably.

Nice-to-haves

  • Experience deploying agents or multi-step LLM workflows in complex enterprise environments.

  • Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration.

  • Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology.

  • Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company.

  • A track record of turning customer implementations into reusable technical assets or product improvements.

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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

Why the Data Era Has Never Been More Profitable

Discover how BI professionals are shaping the corporate future, driving strategic decision-making, and landing the best global remote jobs in the market.

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The Data Market Explosion

A decade ago, oil was considered the world's most valuable resource; today, that title indisputably belongs to data. However, raw data without interpretation is just noise. It is exactly at this turning point that the Business Intelligence (BI) market exploded in demand and financial valuation.

Companies of all sizes, from agile startups to global unicorns, have realized they can no longer base their decisions on guesswork. The BI professional has become the architect of financial and operational predictability. According to Gartner, in its annual reports on the Magic Quadrant for Analytics and BI, adopting business intelligence platforms is no longer a competitive advantage, but a matter of corporate survival.

The Required Profile: Way Beyond the Dashboard

The biggest mistake professionals make when trying to transition into Business Intelligence is believing the job comes down to creating pretty visual panels (Dashboards). Today's market, especially international companies paying six-figure salaries, requires a deep analytical mindset combined with solid technical skills.

Tech Recruiters are configuring their ATS systems (like Greenhouse and Ashby) to filter candidates who master the following verticals:

  • Data Modeling and ETL: The ability to Extract, Transform, and Load data from multiple sources into a Data Warehouse or Data Lake.
  • Query Languages: Advanced proficiency in SQL remains the backbone of any data operation.
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  • Critical Thinking & Business Acumen: As highlighted by the Harvard Business Review, data professionals must translate technical complexity into clear answers for C-Level executives.

Compensation and the Global Job Route (US Remote)

The Business Intelligence market is perfectly adaptable to the Remote Worldwide model. Because the work essentially deals with cloud infrastructure and logical analysis, geographical barriers have been completely eliminated.

"The ability to analyze massive volumes of data and extract actionable insights is the most valued skill in the new digital economy. The global market is literally buying intelligence."

For global professionals, this represents a golden opportunity. North American and European startups are actively seeking Senior BI talent to work remotely, offering compensation in strong currencies (USD and EUR) through B2B contracts. Base salaries that easily surpass the $80,000 to $120,000+ range (six-figure compensation) are a common reality for Mid-level and Senior analysts who have fluent English and a robust analytical portfolio.

How to Stand Out in the Technical Interview

To break through the technical interview barrier for premium BI positions, candidates must prepare a problem-oriented portfolio. Instead of presenting a generic sales dashboard, showcase a documented case study. Show the data source, how the SQL was structured for cleansing, which predictive or statistical models were applied, and, most importantly, what was the financial impact (ROI) of that analysis.