We currently have 700 open roles

Innovation Starts Here

Find Jobs For

Where?When autocomplete results are available use up and down arrows to review and enter to select. Touch device users, explore by touch or with swipe gestures.

AI Program Management, Principal

Bengaluru, Karnataka, India

Save

Hire Type EmployeeJob ID 15009Date posted 02/17/2026

A peek inside our office

Po Popal

Workplace Resources, Sr Director

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a highly skilled program manager with strong understanding of Artificial intelligence technology and its transformative potential. With deep expertise in leading complex, cross-functional programs, you thrive in fast-paced environments where strategic thinking and execution go hand in hand. You are comfortable collaborating with diverse stakeholders, from engineers to executive leadership, and excel at aligning program objectives with organisational strategy.

You bring a proven track record of managing enterprise-scale AI initiatives, including the evaluation and integration of new models, tools, and third-party solutions. Your leadership style fosters a culture of continuous improvement, and you are adept at change management, ensuring smooth adoption of GenAI technologies across corporate functions. If you are energised by the challenge of shaping the future of AI at scale, Synopsys offers you the platform to make a lasting impact.

What You’ll Be Doing:

• Drive portfolio-level prioritisation and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.

• Ensure alignment between program execution and organisational goals, maximising business value from AI investments.

• Contribute strongly towards cross-functional AI governance and decision forums that balance innovation velocity with enterprise risk and compliance.

• Shape the future of the Gen/Agentic AI solutions, influencing the direction of AI governance, risk management, and compliance efforts.

• Enhance cross-functional collaboration and knowledge sharing, breaking down silos to accelerate innovation.

• Build scalable governance frameworks and operationalise industry standards to ensure compliance and quality throughout the AI lifecycle.

• Empower business units to confidently adopt GenAI technologies, driving enterprise-wide transformation and agility.

• Collaborate closely with stakeholders to define program objectives, scope, and deliverables that align with strategic business goals.

• Develop, maintain, and optimise comprehensive program plans, resource allocation, and risk mitigation strategies.

• Monitor program progress, identify potential roadblocks, and implement proactive solutions to keep projects on track.

• Provide strategic guidance and support to project teams, acting as a mentor and thought leader in AI program delivery.

• Foster a culture of continuous improvement within the PMO function, incorporating best practices and lessons learned.

• Stay current with industry trends, regulatory developments, and advancements in AI to enhance program delivery and governance.

• Drive the successful delivery of GenAI offerings and strategic initiatives, positioning Synopsys as a leader in enterprise AI adoption.

• This onsite role is based in Bangalore and requires regular collaboration with US-based teams, including overlap with Pacific Time hours.

What You’ll Need:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related discipline.

• Proven experience as a Program Manager, leading complex projects in the software or high-tech industry and leading end-to-end evaluation of new model/app/tool requests (including third-party solutions), coordinating risk reviews across IP, privacy, security, and legal/compliance.

• Robust understanding of Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, Responsible AI, and AI Governance, and are adept at embedding responsible practices, such as fairness, transparency, privacy, and accountability,into every stage of program delivery.

• Awareness of industry standards such as the NIST AI Risk Management Framework and EU AI Act-style Quality Management Systems, and ability to operationalise them effectively within large organisations.

• Hands-on experience with portfolio management tools (e.g., Jira, Azure DevOps), intake workflow systems, and knowledge bases (e.g., SharePoint, Confluence).

• Ability to drive Scalable, auditable AI governance mechanisms adopted across multiple business units.

• Reduced friction and cycle time for AI model/app approvals without increasing risk

• Measurable enterprise adoption and business value from GenAI deployments

Who You Are:

• Strategic thinker with strong analytical and problem-solving skills.

• Excellent communicator, able to convey complex ideas clearly to technical and non-technical stakeholders.

• Adaptable and resilient in the face of change, with a continuous improvement mindset.

• Collaborative, inclusive, and able to build strong relationships across diverse teams and geographies.

• Comfortable operating in areas of ambiguity where policy, technology, and business objectives intersect.

• Able to manage multiple priorities in a dynamic environment

The Team You’ll Be A Part Of:

You will be part of GenAI Center of Excellence, a team that is passionate about driving innovation and advancing our AI Platform & Solutions. This role reports to Head of AI Program Management & Chief of Staff, GenAI Center of Excellence. We are a close-knit, collaborative group that values open communication and continuous learning. We collaborate closely with engineering, product, compliance, and executive teams to deliver impactful results and shape the company’s AI strategy.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

XML job scraping automation by YubHub

Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.

To succeed in this role, you'll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.

In addition to your technical expertise, you'll need strong written and verbal communication skills to operate in a cross-functional team.

This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

XML job scraping automation by YubHub

This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

If you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context, you may be a good fit for this role.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

XML job scraping automation by YubHub

This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

You may be a good fit if you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

XML job scraping automation by YubHub

Researcher, Frontier Biological and Chemical Risks

Location

San Francisco

Employment Type

Full time

Department

Safety Systems

Compensation

• Estimated Base Salary $295K – $445K

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 Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework.

Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.

The mission of the Preparedness team is to:

1. Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society

1. Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems

Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.

About the Role

We are looking to hire exceptional research engineers that can push the boundaries of our frontier models. Specifically, we are looking for those that will help us shape our empirical grasp of the whole spectrum of AI safety concerns and will own individual threads within this endeavor end-to-end.

You will own the scientific validity of our frontier preparedness capability evaluations—designing new evals grounded in real threat models (including high-consequence domains like CBRN as well as cyber and other frontier-risk areas), and maintaining existing evals so they don’t stale or silently regress. You’ll define datasets, graders, rubrics, and threshold guidance, and produce auditable artifacts (evaluation cards, capability reports, system-card inputs) that leadership can trust during high-stakes launches.

In this role, you'll:

• Work on identifying emerging AI safety risks and new methodologies for exploring the impact of these risks

• Build (and then continuously refine) evaluations of frontier AI models that assess the extent of identified risks

• Design and build scalable systems and processes that can support these kinds of evaluations

• Contribute to the refinement of risk management and the overall development of “best practice” guidelines for AI safety evaluations

You might thrive in this role if you:

• Are passionate and knowledgeable about short-term and long-term AI safety risks

• Demonstrate the ability to think outside the box and have a robust “red-teaming mindset”

• Have experience in ML research engineering, ML observability and monitoring, creating large language model-enabled applications, and/or another technical domain applicable to AI risk

• Are able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end

It would be great if you also have:

• First-hand experience in red-teaming systems—be it computer systems or otherwise

• A good understanding of the (nuances of) societal aspects of AI deployment

• Excellent communication skills and the ability to work cross-functionally

_This role may require access to technology or technical data controlled under the U.S. Export Administration Regulations or International Traffic in Arms Regulations. Therefore, this role is restricted to individuals described in paragraph (a)(1) of the definition of “U.S. person” in the U.S. Export Administration Regulations, 15 C.F.R. § 772.1, and in the International Traffic in Arms Regulations, 22 C.F.R. § 120.62. U.S. persons are U.S. citizens, U.S. legal permanent residents, individuals granted asylum status in the United States, and individuals who are not U.S. citizens but are lawfully admitted for permanent residence in the United States._

XML job scraping automation by YubHub