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Partner Director, Pwc

openai

OnSite San Francisco
IT Governance

Job Score

80 pts
On-site model (+70) IT Governance (+10)

About the Team

OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers.

Global consulting and advisory partners are essential to helping enterprises move from AI strategy to production deployment. PwC brings global reach, deep industry and functional expertise, technology and transformation capabilities, and longstanding relationships with complex and regulated enterprises. This role will lead OpenAI’s global partnership with PwC and create the strategy, operating model, and field motions needed to turn that relationship into repeatable customer and commercial impact.

This role is based in San Francisco, New York City, or Seattle. We use a hybrid work model of three days in the office per week.

About the Role

We are hiring a Partner Director, PwC to serve as the single accountable owner of OpenAI’s strategic relationship with PwC globally. You will define the partnership thesis and joint business plan, build executive alignment, activate PwC’s industry, advisory, technology, sales, and delivery organizations, and develop repeatable go-to-market motions that accelerate enterprise AI adoption.

This is a strategic and hands-on leadership role. You will move fluidly between senior executive engagement, joint account and opportunity strategy, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, matrixed professional-services organization operates, commercial discipline, technical fluency, and the ability to align teams without relying on formal authority.

The ideal candidate has led a high-impact global alliance with PwC, built measurable pipeline and customer outcomes through partnerships, and knows how to convert company-level strategy into productive field behavior and successful deployments.

In this role, you will:

  • Own the global PwC relationship, including alliance strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery quality, and long-term expansion.

  • Develop and execute a joint business plan with clear priorities, investments, decision rights, milestones, and measures of success.

  • Build trusted relationships across PwC’s global and regional leadership, industry and functional practices, alliance teams, client partners, sales organizations, architects, and delivery leaders.

  • Translate executive commitments into repeatable field motions spanning account mapping, opportunity qualification, co-selling, solution development, technical engagement, delivery handoffs, and escalation.

  • Shape joint propositions and transformation plays that combine OpenAI products and capabilities with PwC’s industry, advisory, technology, data, security, risk, governance, and delivery strengths.

  • Lead joint account planning and strategic customer pursuits with PwC and OpenAI field teams, with particular focus on complex and regulated enterprises.

  • Create a clear engagement model for OpenAI sellers and technical teams, including when to involve PwC, how opportunities are qualified, who owns each step, and how channel conflict is resolved.

  • Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Commercial teams to support complex customer engagements and remove technical, contractual, compliance, and operational blockers.

  • Build PwC capability through executive sponsorship, field enablement, technical readiness, reusable solution patterns, and disciplined delivery handoffs.

  • Establish governance across executive business reviews, pipeline inspection, forecasting, milestone tracking, performance reporting, and escalation management.

  • Set and monitor partnership KPIs, including qualified pipeline, conversion, production adoption, customer value, partner readiness, delivery quality, and return on OpenAI investment.

  • Allocate scarce OpenAI resources toward opportunities with the greatest strategic value, commercial potential, customer impact, delivery readiness, and repeatability.

  • Represent OpenAI in senior partner, customer, and industry engagements with clarity, sound judgment, and strong executive presence.

  • Build the operating model and team capacity required to scale the PwC alliance over time.

You might thrive in this role if you have:

  • Significant experience leading strategic alliances, GSI or advisory partnerships, ecosystem sales, business development, or enterprise go-to-market programs in AI, cloud, data, SaaS, or enterprise technology.

  • Direct experience working with PwC and deep familiarity with its organizational model, incentives, decision-making networks, partner economics, industry and functional practices, and enterprise delivery motions.

  • A proven record of owning a global, multi-year partnership with measurable pipeline, revenue, adoption, deployment, or customer outcomes.

  • Experience designing and scaling joint operating models across large, matrixed organizations, including governance, account planning, incentives, staffing, delivery handoffs, and escalation.

  • Demonstrated success shaping and advancing complex C-suite enterprise transformation opportunities from strategy through production deployment.

  • Strong executive presence and the ability to build credibility with senior PwC and customer leaders while remaining close to operating details.

  • Commercial judgment and experience prioritizing investments, qualifying opportunities, managing forecasts, and making clear tradeoffs.

  • Technical fluency across enterprise AI, cloud environments, data platforms, security, governance, risk, and modern application architectures.

  • Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, and Operations without direct authority.

  • Experience building partner enablement, joint solutions, industry plays, and scalable field engagement models.

  • Comfort operating in ambiguity and creating structure, accountability, and momentum in a rapidly evolving market.

  • Excellent written and verbal communication, negotiation, and executive presentation skills.

  • A builder mindset, high ownership, low ego, and a consistent focus on customer value and responsible AI adoption.

What success looks like:

  • OpenAI and PwC have a clear global alliance thesis, differentiated joint value proposition, executive governance model, and measurable business plan.

  • PwC and OpenAI field teams know when and how to engage one another, and qualified opportunities progress through a consistent co-sell and delivery motion.

  • The partnership produces strategically aligned pipeline and converts priority opportunities into secure, successful production deployments with demonstrable customer value.

  • Joint solution patterns and industry plays become repeatable rather than remaining bespoke.

  • OpenAI resources are allocated transparently toward the highest-impact opportunities.

  • PwC teams demonstrate growing readiness and accountability across selling, architecture, implementation, and customer success.

  • The alliance earns sustained executive sponsorship and delivers measurable year-over-year growth.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About IT Governance

IT Governance is the area responsible for ensuring that information technology resources are used strategically, efficiently, and in compliance with standards and regulations. IT governance professionals ensure that technology supports business objectives in a secure and reliable manner.

Key skills include IT service management (ITIL), IT audit and compliance, risk management, business continuity, disaster recovery, metrics and indicators (SLAs, KPIs), and strategic alignment between IT and business. Frameworks like COBIT, ITIL, ISO 27001, and compliance standards are essential.

IT Governance professionals in technology companies are highly valued, especially those who master ITSM, IT audit, and risk management. The field offers opportunities from governance analyst to CIO/CTO, with a focus on efficiency, compliance, security, and business value.

Discover Other Areas

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

About Infrastructure and DevOps

Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.

Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).

DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.

About People Analyst

The People Analyst is the professional responsible for transforming people data into strategic insights for HR decision-making. They combine data analysis knowledge with people management vision to help organizations understand workforce metrics, turnover, engagement, and diversity.

Key skills include people analytics, workforce analytics, turnover and retention analysis, HR metrics (time-to-hire, cost-per-hire, e-NPS), data visualization (Power BI, Tableau, Visier), workforce planning, and compensation analysis. Knowledge of statistics, SQL, and people analytics tools is a differentiator.

People Analysts in technology companies are highly valued, especially those who can translate complex people data into actionable insights for retention, diversity, and growth strategies. The field offers opportunities from HR analyst to head of people analytics, with a focus on data-driven people management.

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 Communications

The Communications area is strategic for building and maintaining a company's institutional image. It encompasses corporate, internal, and external communication, public relations, press office, and reputation management. Communications professionals are responsible for delivering consistent messages that strengthen the employer brand and market positioning.

Key skills include strategic writing, communication planning, crisis management, media relations, corporate content production, event organization, and digital communication. Knowledge of communication CRMs, press release distribution platforms, and media monitoring tools (Meltwater, Cision) is a differentiator.

Corporate communicators in technology companies are highly valued, especially those who master change communication, employee engagement, and digital communication. The field offers opportunities in startups, scale-ups, and large corporations, with a focus on storytelling, organizational culture, and innovation communication.

About Fullstack

Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.

Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.

Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.

Career Guides

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Marketing Career Guide

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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 Back-End Development Market

The Back-End Development Market: Barriers, Opportunities, and the Path to the Top

Behind every brilliant application, revolutionary artificial intelligence, or successful fintech, there is an invisible and robust ecosystem. Welcome to the Back-End universe.

The Modern Back-End Paradox: Did AI Steal the Jobs?

With the rise of tools like GitHub Copilot and Cursor, many junior developers wonder if the Back-End career is threatened. The short answer is: no. In fact, it has evolved.

Artificial Intelligence has made writing basic "CRUD" (Create, Read, Update, Delete) code trivial. However, the market no longer pays six-figure salaries for writing repetitive code. The global market is actively hunting for Software Engineers—professionals who understand architecture, resilience, latency, and scalability. The Back-End didn't die; the bar was simply raised.

Barriers to Entry: What Separates Juniors from Seniors

Entering Back-End development today requires overcoming technical barriers that go far beyond mastering a programming language (like Java, C#, Go, or Python). Key barriers include:

  • System Design: Knowing how to design a system that supports 100 users is easy. Designing one that handles 1 million requests per second requires deep knowledge of load balancing, caching (Redis/Memcached), and message queues (RabbitMQ/Kafka).
  • Data Complexity: The debate is no longer just "SQL vs. NoSQL". It is about data modeling, replication, sharding, and how to avoid database bottlenecks in distributed systems.
  • Security: With data breaches costing millions, companies require developers to master security practices from day one. Not knowing the vulnerabilities listed by the OWASP Top 10 is a dealbreaker for premium remote roles.
  • DevOps and Cloud Culture: The modern Back-End developer must understand containerization (Docker), orchestration (Kubernetes), and cloud infrastructure (AWS, GCP, Azure).

Golden Opportunities: Where is the Money?

For those who overcome these barriers, the market is a blue ocean of opportunities, especially for US/Global Remote work.

  • Migration to Microservices and Serverless: Corporate giants continue to dismantle legacy monoliths. Professionals who understand the patterns described by Martin Fowler are highly sought after.
  • High-Performance Languages: While traditional languages maintain their corporate strength, the use of Go (Golang) and Rust has skyrocketed for systems requiring massive concurrency and low memory footprint (Green Computing).
  • AI Infrastructure: AI models don't run in a vacuum. There is a massive demand for Back-End engineers proficient in Python and C++ to build data pipelines (MLOps) and the APIs that serve these models in real time.

Success Stories: Architectural Decisions That Changed the Game

True Back-End engineering shines when solving impossible problems. Let's look at real-market examples:

The Discord Case (Migration to Rust): Discord faced latency spikes in its core Read States service, originally written in Go. Because Go's Garbage Collector caused critical millisecond freezes, the team rewrote the service in Rust, completely eliminating latency spikes and supporting trillions of messages with absurd efficiency. This proved the value of choosing the right tool for performance limits.

The Netflix Case (Pioneering Microservices): Netflix transformed a monolithic system that broke under pressure into an architecture of thousands of independently managed microservices. They pioneered the concept of Chaos Engineering, purposely shutting down production servers to ensure their Back-End was resilient to failure.

Practical Tips: How to Land Premium Global Jobs

  1. Master the Fundamentals: Before learning the trendy framework of the month, study data structures, algorithms, and time complexity (Big-O Notation). This is exactly what will be tested in high-level technical interviews (Whiteboard interviews).
  2. Build a Problem-Focused Portfolio: A GitHub repository with a "To-Do List" won't impress anyone. Build an API that handles asynchronous image processing, create a scalable URL shortener, or engineer a messaging system using WebSockets and Redis.
  3. Study Real Cloud Architecture: Get solutions-based certifications (like AWS Certified Developer or Solutions Architect). These serve as a "Seal of Approval" to bypass strict Applicant Tracking Systems (ATS) like Greenhouse or Ashby.
  4. Flawless Technical Communication: According to the Stack Overflow Developer Survey, the highest-paying roles require asynchronous global collaboration. Your code documentation, commit messages, and PR reviews must be pristine and professional.

Verdict: Is a Career in Back-End Worth It?

Absolutely. If you are an analytical person who loves solving complex puzzles and cares about the security and efficiency of things no one sees, the Back-End is your place.

It is a career virtually immune to visual fads. While Front-End libraries change every few years, the fundamentals of relational databases, networks, and operating systems remain the same. It is a rock-solid foundation for a highly lucrative and globalized career.