Your responsibilities will include driving down costs through automation, less TOIL and efficient use of Infrastructure, evaluating the SWIFT product and services from functional and non-functional perspective, and delivering change program as per the annual Book of Work. You will also be responsible for collecting resource and cost estimates, establishing baseline budgets, and securing approvals from the Program Steering Committee, tracking expenses against approved budgets and providing monthly progress reports to stakeholders, conducting revenue projections to support business cases, identifying cost savings, and optimizing resource allocation.

Additionally, you will be responsible for the budget management and reporting for SWIFT Alliance Gateway USA, identifying and managing risks, dependencies, and compliance requirements throughout the service lifecycle, ensuring all functional and regulatory standards are met. You will perform periodic risk assessments, enforce HSBC's Enterprise and Operational Risk Management Frameworks, and maintain robust control documentation.

You will participate in audits and implement all security and data privacy controls as per compliance standards, leading program governance forums, project kickoff meetings, and project status updates, and facilitating cross-team collaboration. You will define and execute a detailed communication plan, including escalation protocols and risk communication, maintaining strong working relationships with cross-functional teams, vendors, and resource managers, ensuring alignment with project goals.

This is a full-time position, Monday-Friday, 40 hours per week, with telecommuting permitted up to 100% from anywhere in the US.

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Your role will span marketing, co-selling, technical support, and model launch program management to ensure a successful partnership and a direct impact on revenue growth and profitability.

As the main point of contact, you will collaborate closely with our partner companies to ensure they meet their goals, are satisfied with fal's platform, and stay informed on the latest industry trends.

Success in this role requires a combination of strong business acumen, technical understanding, and the ability to lead complex, cross-functional initiatives.

Key responsibilities include:

• Contract Negotiations & Procurement: Lead complex commercial negotiations, including Master Service Agreements (MSAs), NRE, cost models, open-book pricing, ramp and capacity commitments, and risk-buy frameworks.

• Partner Relationship Management: Develop and manage strong relationships with key stakeholders at partner companies, ensuring alignment on business goals and fostering long-term, mutually beneficial success.

• Drive Model Launches: Oversee the successful deployment and scaling of generative AI models with partners, including coordination with technical teams to ensure seamless execution.

• Infrastructure Development: Work with partners to design and implement infrastructure solutions that support their AI model deployments, ensuring reliability, scalability, and performance.

• Co-Selling and Marketing: Collaborate with partners on joint marketing initiatives, co-sell opportunities, and product integrations to drive revenue growth.

• Program Management: Lead the execution of the Model Launch Program, managing timelines, deliverables, and cross-functional teams to ensure that models are launched successfully and on schedule.

• Drive Revenue and KPIs: Focus on driving revenue growth and profitability with your partner portfolio. You will be responsible for meeting specific KPIs, including consumption-based revenue targets, partner satisfaction, and expansion opportunities.

• Industry Insight: Stay informed about trends in AI, machine learning, and generative media to proactively identify opportunities and provide thought leadership to partners.

• Partner Success: Ensure partners have the resources and support they need to succeed. Manage the end-to-end partner experience to foster long-term, mutually beneficial relationships.

Requirements include:

• 4+ years of experience at an infrastructure or cloud company, with demonstrated expertise in contract negotiations and managing strategic partnerships and driving go-to-market initiatives,

• Previous experience in Account Executive (AE) roles particularly within the AI, technology, or enterprise software industries is preferred,

• Proven track record of driving partner success and managing complex, multi-stakeholder initiatives from inception to execution.

• Strong understanding of AI infrastructure, generative models, and model deployment processes.

• Experience in co-selling, joint marketing, and building go-to-market strategies with external partners.

• Expertise in program management with the ability to manage multiple complex projects simultaneously, meeting deadlines and delivering results.

• Strong communication skills, with the ability to engage technical and non-technical audiences and lead cross-functional teams.

• A proactive, problem-solving mindset with the ability to adapt to a fast-changing landscape.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking experienced and highly motivated Technical Program Managers (TPM) to support our Engineering organization in delivering high-impact technical projects. The TPM will be responsible for planning, executing, and overseeing technical programs that align with our strategic goals.

Program Management

Oversee and manage our development and deployment processes, ensuring efficiency, effectiveness, and alignment with product timelines.

Cross-Functional Collaboration

Work closely with cross-functional teams, including Engineering, Product, Science, Marketing/Coms teams, Design, and Solutions to ensure alignment of engineering operations with overall product and business objectives.

Project Delivery

Track project progress, timelines, and resources. Assist teams to implement processes to smoothen delivery process.

Process Improvement

Continuously identify and implement process improvements to enhance the efficiency and productivity of the engineering team, in coordination with the other TPMs.

Stakeholder Management

Regularly communicate with stakeholders to provide updates on program status, risks, and issues, and to manage expectations.

Risk Management

Identify potential risks and issues in the program lifecycle, and develop contingency plans to mitigate them.

What you will do

• Oversee and manage our development and deployment processes, ensuring efficiency, effectiveness, and alignment with product timelines.

• Work closely with cross-functional teams, including Engineering, Product, Science, Marketing/Coms teams, Design, and Solutions to ensure alignment of engineering operations with overall product and business objectives.

• Track project progress, timelines, and resources. Assist teams to implement processes to smoothen delivery process.

• Continuously identify and implement process improvements to enhance the efficiency and productivity of the engineering team, in coordination with the other TPMs.

• Regularly communicate with stakeholders to provide updates on program status, risks, and issues, and to manage expectations.

• Identify potential risks and issues in the program lifecycle, and develop contingency plans to mitigate them.

You may be a good fit if:

• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.).

• You have proven experience in managing technical programs, preferably within an engineering team.

• You have a strong understanding of software lifecycle management and deployment processes.

• You have excellent project management skills, with the ability to run multiple complex programs smoothly.

• You are thriving in cross functional collaboration and you know how to adapt your communication to stakeholders.

• You are highly organized and knows how to manage cross team dependencies.

• You are a proactive problem-solver with a continuous improvement mindset.

• You have strong design thinking skills and feel comfortable with actively contributing to architecture decisions.

Ideally, you have:

• Experience as a Software Developer.

• Already worked in an AI company/project.

• Knowledge of how LLMs are built and work.

• Already worked as a Technical Program Manager.

Additional Information

Location & Remote

The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.

What we offer

💰 Competitive salary and equity package

🧑‍⚕️ Health insurance

🚴 Transportation allowance

🥎 Sport allowance

🥕 Meal vouchers

💰 Private pension plan

🍼 Generous parental leave policy

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This role requires a blend of technical acumen, project management expertise, hands-on involvement and strong cross-team leadership skills to ensure projects are delivered on time, within budget, and to the highest quality standards.

Responsibilities:

• Oversee and manage our development and deployment processes, ensuring efficiency, effectiveness, and alignment with product timelines.
• Work closely with cross-functional teams, including Engineering, Product, Science, Marketing/Coms teams, Design, and Solutions to ensure alignment of engineering operations with overall product and business objectives.
• Track project progress, timelines, and resources. Assist teams to implement processes to smoothen delivery process.
• Continuously identify and implement process improvements to enhance the efficiency and productivity of the engineering team, in coordination with the other TPMs.
• Regularly communicate with stakeholders to provide updates on program status, risks, and issues, and to manage expectations.
• Identify potential risks and issues in the program lifecycle, and develop contingency plans to mitigate them.

You may be a good fit if:

• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.).
• You have proven experience in managing technical programs, preferably within an engineering team.
• You have a strong understanding of software lifecycle management and deployment processes
• You have excellent project management skills, with the ability to run multiple complex programs smoothly
• You are thriving in cross functional collaboration and you know how to adapt your communication to stakeholders
• You are highly organized and knows how to manage cross team dependencies
• You are a proactive problem-solver with a continuous improvement mindset.
• You have strong design thinking skills and feel comfortable with actively contributing to architecture decisions

Ideally, you have:

• Experience as a Software Developer.
• Already worked in an AI company/project.
• Knowledge of how LLMs are built and work.
• Already worked as a Technical Program Manager

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $347K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Applied team safely brings OpenAI's technology to the world. Our team launched ChatGPT, Advanced Voice Mode, Deep Research, and many other products, supporting scalable infrastructure and driving safe, responsible deployment. Our customers rely on our APIs to build transformative products, while we ensure responsible usage and platform integrity.

The Integrity team, within Applied Engineering, safeguards our platform by proactively identifying misuse, preventing abuse, and protecting users. We're seeking an experienced, hands-on Engineering Manager (Web Safety) to shape the future direction, architect advanced system protections, and lead a focused team of senior Machine Learning Engineers (MLEs).

In this role, you will:

• Architect and build next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies.

• Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy.

• Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements.

• Utilize state-of-the-art models to detect and prevent problematic content effectively.

• Establish robust evaluation frameworks and metrics, clearly measuring progress and identifying areas for improvement.

• Support your team's professional growth and maintain high performance through mentorship and clear career progression.

You might thrive in this role if you:

• Bring extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains.

• Have successfully trained, fine-tuned, or distilled LLMs and traditional ML models to solve real-world business problems.

• Enjoy being deeply involved technically—actively designing solutions, training models, and guiding deployment processes alongside your team.

• Excel at collaborating across teams to integrate existing tools and thoughtfully architect new solutions.

• Possess strong emotional intelligence, empathy, and the ability to effectively connect with colleagues.

• Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure, and impactful solutions.

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.

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