Responsibilities:

• Project Tool Management (Procalc, MEPSec, SharePoint):
• Ensure data quality and timely updates in Procalc (project activation, pass-through handling, release management).
• Coordinate ICPO/EBP entries and updates for project-related items.
• Handle project rights assignments via MEPSec.
• Set up and maintain collaboration spaces (e.g., SharePoint) for internal and external access.

• Reporting & KPI Tracking (operational controlling):
• Update and distribute weekly project monitoring tools (margins, project progress).
• Maintain & compute Key performance indicators on the basis of SAP inputs & other systems (MSM KPIs, Risk Release, Forecast Utilization, FTEs, ...).
• Compile and share detailed utilization forecasts and scoring reports.
• Follow up on project plan reviews and risk release items.

• Administrative & Procurement Support (projects only):
• Initiate supplier account creation and PO processing for project items.
• Support order placement via EBP and SAP.
• Track and report global purchasing indicators by supplier.

• Project Planning & Coordination:
• Support PRM coordination (bi-monthly planning, weekly passage planning, CRs).
• Assist in onboarding activities for new Project Managers.
• Conduct monthly vehicle recensement and follow up on incomplete documentation (projects related).

• Travel & Expense Coordination:
• Manage travel bookings (flights, hotels, vehicles) for project-related needs.
• Manage travel bookings for Top management.
• Expenses monitoring with respect to customer travel policies for invoicing.
• Shuttle board Management.

• Other Support Activities:
• Follow up with necessary actions on pending ESS submissions.
• Maintain and update data repositories (e.g., standby reports).
• Support internal communication and organization for cross-functional project needs.

Key Interfaces:

• Project Managers and Technical Leads
• Finance and Procurement Teams
• Affiliate contacts and External Vendors
• HR (for onboarding coordination & travel policy)
• IT and Tool Administrators

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You'll review and negotiate marketing agreements, clear rights for content, establish practical guardrails, and help teams move fast while managing risk. You'll work closely with cross-functional partners and outside counsel when needed, and contribute to lightweight processes and templates that scale with our marketing engine.

You will:

Serve as day-to-day legal advisor to Marketing on campaigns, social content, creator programs, experiential activations, and press moments , helping teams ship on time with clear, practical guidance.

Review and negotiate marketing agreements, including talent/influencer contracts, production SOWs, vendor/MSAs, licensing, NDAs, and promotional terms; create and improve templates and playbooks to increase speed and consistency.

Own rights and clearances for marketing assets, and advise on usage windows, territories, and platforms; partner with stakeholders to avoid takedowns and disputes.

Advise on advertising and consumer protection laws (e.g., endorsements/disclosures, substantiation, contests/sweepstakes), and maintain guardrails that enable bold but compliant creative.

Track and socialize updates to relevant regulations and platform policies; run brief trainings for marketers and creators on disclosures, usage rights, and brand safety.

Assist in other legal matters depending on interest and need.

You have:

J.D. (or international equivalent) and active bar membership in good standing.

4-8+ years of relevant legal experience (e.g., clerkship, law firm, in-house), including familiarity with multiple relevant areas of law (e.g., copyright, trademark, right of publicity and NIL, advertising, claim substantiation) and experience advising on marketing and advertising campaigns, including social media.

Strong contract drafting/negotiation skills across talent/influencer, production, licensing, and vendor agreements; comfort balancing risk with business goals and speed.

Clear, concise communication tailored to creative and non-legal stakeholders; ability to give actionable guidance and explain trade-offs under tight timelines.

Proven cross-functional partnership and judgment in fast-moving environments; ability to prioritize, create lightweight processes, and keep teams unblocked.

Ability to work from or relocate to Pittsburgh, PA.

Exceptional candidates will have:

Strong interest in Duolingo and its mission.

Deep familiarity with social media marketing including working with social media agencies, particularly outside the United States.

Experience handling marketing-related disputes.

Experience with contests, sweepstakes, or promotional offers.

Experience working in the music or entertainment industry.

Interest in learning new areas of law and how they interact with new technologies such as targeted advertising, globalization, social media, and generative AI.

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This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.

Responsibilities:

• Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.
• Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.
• Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.
• Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.
• Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.
• Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications:

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.

Preferred qualifications , we encourage you to apply if you meet some but not all of these:

• Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.
• Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.
• Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.
• Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.
• Experience training and supporting large-scale AI models.
• Track record of improving research productivity through infrastructure design or process improvements.

Logistics:

• Location: This role is based in San Francisco, California.
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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This role combines technical depth, strategic thinking, and the autonomy to design workflows that will protect infrastructure driving the future of AI.

Key Responsibilities:

• Build and scale AI-powered triage workflows: evaluate tools (LLM integration, TINES orchestration), architect solutions, and deploy to production
• Drive intelligent, risk-based vulnerability prioritization while simultaneously training AI models,your assessments become the foundation for automation
• Influence automation priorities: recommend which areas of the vulnerability pipeline would most benefit from automation to improve team efficiency
• Design and implement automated detection-to-ticket pipelines: build workflows that generate vulnerability detections, test them, scale across the environment, and auto-create Jira tickets
• Execute remediation campaigns: build automated workflows for EOL product removal, vulnerable software upgrades, and OS migrations at scale
• Manage embargoed vendor disclosures from hardware partners, including embargo verification and zero-day response coordination
• Lead security incident investigations related to high-profile vulnerabilities, coordinating cross-functional response and impact assessment
• Participate in on-call rotation for rapid-response vulnerability analysis during active zero-day events or critical security incidents
• Partner with IT, Infrastructure, and Engineering teams to drive remediation efforts, enforce SLAs, and escalate blockers strategically
• Write daily operations reports documenting vulnerability trends, remediation velocity, and emerging threats for security leadership
• Drive process improvements and workflow automation to improve operational efficiency and reduce manual toil

Requirements:

• 7+ years of relevant experience with demonstrated impact in vulnerability management, application security, platform security, or cloud security engineering
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
• Proven hands-on experience building security automation (SOAR workflows, detection pipelines, or vulnerability prioritization frameworks)
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, exploit intelligence, and compensating controls
• Strong development background with proficiency in Python, Go, or similar languages for building production-grade security tools
• Experience with modern vulnerability management tooling such as Wiz, Semgrep, Rapid7, or similar platforms
• Demonstrated ability to partner with cross-functional teams (IT, SRE, Engineering) to drive remediation without formal authority
• Strong familiarity with common security vulnerabilities and the ability to judge their severity and business impact

Preferred Qualifications:

• Practical experience building AI/ML-powered security workflows (LLM integration, automated triage, human-in-the-loop validation)
• Experience managing hardware security vulnerabilities (GPU/DPU firmware, BMC/IPMI, specialized compute environments)
• Production experience with security automation platforms such as TINES, Splunk SOAR, or serverless frameworks (AWS Lambda)
• Strong DevOps, DevSecOps, or SRE background with experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of container security and Kubernetes (image scanning, admission control, runtime protection, supply chain security)
• Experience supporting customer audits (SOC 2, ISO 27001, FedRAMP) with vulnerability evidence and control validation
• Experience integrating vulnerability management into modern CI/CD pipelines with a 'shift-left' mentality

What We Offer:

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

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In this role, you'll:

Work as part of the International Tax team gathering, validating and compiling quantitative and qualitative tax information from multiple internal and/or external sources to ensure accuracy and completeness.

Compliance & Statutory Reporting: Own the end-to-end preparation and filing of international corporate income tax returns and manage the tax components of local statutory financial statements and audits.

Tax Provisioning (ASC 740): Assist with quarterly and annual global tax provisions for international entities, focusing on improving the accuracy of US GAAP to local GAAP reconciliations.

Modernized Research: Utilize AI-driven research tools to monitor and summarize complex legislative changes (such as Pillar Two or local incentives) and draft technical memos.

Process Automation: Identify opportunities to use low-code tools (such as Power Query) or AI assistants to automate data collection from ERPs (Oracle/NetSuite), reducing manual workpaper preparation.

Cross-Functional Partnership: Act as a bridge between Tax and Finance, ensuring that tax data is clean, accessible, and ready for reporting.

Assist in monitoring country-level tax law updates, performing tax research, interpreting changes, and documenting the Company's tax positions.

Support the development and maintenance of strong internal controls and governance over international income tax compliance and reporting.

Contribute to continuous improvement initiatives across the international tax function, championing technology and automation to drive efficiency and scalability.

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At Cloudflare, we are on a mission to help build a better Internet. Our company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Responsibilities

• Drive exceptional sales growth by meeting and exceeding assigned quarterly and annual quotas
• Manage, coach, and develop your team of Account Executives
• Provide day-to-day deal support and functional guidance to Account Executives
• Source, interview, and recruit top sales talents in coordination with recruiting and sales leaders
• Own and drive accurate and up-to-date Account Executive KPI, reporting in Salesforce and provide attainment forecast guidance to sales management on a weekly basis
• Help define ideal Account Executive profiles for the region
• Help on-board and ramp up Account Executives
• Develop and iterate on best-practices/programs aimed at accelerating DNR growth, new product (Cloudflare One portfolio) attach rates, and other company goals
• Define and drive optimal Sales Go-To-Market coverage (vertical, geo-based etc.) for all market segments
• Drive channel relationships forward to accelerate channel business
• Help foster relationships between customer/partner executives and Cloudflare executives within key customer accounts
• Drive an efficient business cadence to cover forecast calls, pipeline, deal reviews, and account plan reviews

Requirements

• Fluency in English and Hebrew
• A minimum of 15 years of overall sales experience out of which at least 10 years should be focused on Israel
• You should have 5+ years experience managing a team of quota-carrying sales reps with a successful proven track record of selling and upselling complex solutions across all market segments in Israel; preferably in a SaaS/Cloud/Cybersecurity platforms industry
• Experience directly managing a high volume, high velocity pipeline driving rapid growth while delivering long term value to our customers
• Experience developing & rolling-out Go-to-Market strategies in a fast-paced, rapidly changing environment
• Excellent presentation and communication skills, both written and verbal, with confidence to develop and present ideas to different audience levels
• Established experience and relationships with the Cybersecurity and SaaS/Cloud community in the assigned market with the ability to establish and grow strong partnerships
• Hands-on leader that strikes a balance between strategic vision and tactical execution
• Having a well regarded market reputation with strong related connections and relationships
• Experience with Salesforce and other sales reporting and BI tools
• Self-motivated with an entrepreneurial spirit and comfortable working in a fast-paced and dynamic environment
• Capacity to strive in a diverse and multicultural workplace
• Aptitude to learn new technical concepts and terms
• Bachelor’s degree required in a related field (Computer engineering, computer science or similar studies). MBA or MIS a plus

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We are seeking a Research Engineer to join our Machine Learning team. As a Research Engineer, you will work on building and optimizing large-scale learning systems that power our open-weight models.

Responsibilities

• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Conduct experiments on the latest deep-learning techniques.
• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

Requirements

• Master's or PhD in Computer Science (or equivalent proven track record).
• 4 + years working on large-scale ML codebases.
• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
• Strong software-design instincts: testing, code review, CI/CD.
• Self-starter, low-ego, collaborative.

Benefits

• Competitive cash salary and equity.
• Food: Daily lunch vouchers.
• Sport: Monthly contribution to a Gympass subscription.
• Transportation: Monthly contribution to a mobility pass.
• Health: Full health insurance for you and your family.
• Parental: Generous parental leave policy.

Note: Benefits may vary depending on location.

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Responsibilities and Duties As a technical lead, perform strategic mine design and engineering analyses, including mine design sequencing & scheduling utilizing Deswik software suite. Conduct or support a full range of mine engineering functions, including: Detailed design of Mingomba underground mine Engineering trade-off studies Cost estimation and economic analysis of alternatives Preparation of technical documents including public disclosure documents for Mineral Resources and Reserves Provide feedback to geological and geotechnical modeling as necessary.

Support both surface and underground facilities engineering Apply KoBold’s Project Management standards to manage all aspects of projects Work collaboratively across engineering disciplines and technical staff to develop the skills and procedures needed to effectively deliver mining engineering assignments Serve as an internal technical resource and provide guidance and mentorship to junior-level staff.

Identify, develop, and follow through on value engineering opportunities Mentor staff to support their growth and professional development.

Exercise responsible and ethical decision-making regarding company resources and conduct and adhere to KoBold’s Code of Conduct and related policies and procedures.

Perform additional responsibilities as required by business needs.

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The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimising hardware utilisation for efficient training, and performing model optimisations.

As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission.

Key responsibilities include:

• Implementing and refining DL pipelines on distributed computing platforms to enhance the speed and efficiency of DL operations, including model training, data handling, model management, and inference.
• Collaborating closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines created are perfectly aligned with scientific goals and operational needs.
• Continuously monitoring, evaluating, and optimising DL model training pipelines for performance and scalability.
• Staying up to date with the latest advancements in AI, ML, and related technologies, and quickly learning and adapting new tools and frameworks, if necessary.
• Developing and maintaining robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Driving performance improvements across our stack through profiling, optimisation, and benchmarking. Implementing efficient caching solutions and debugging distributed systems to accelerate both training and evaluation pipelines.
• Acting as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must-haves include:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerisation technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimising workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines.

Nice-to-haves include:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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Channel Sales Executive

Poland Off-siteSave

Category: Ansys SalesRemote Eligible YesHire Type: Employee

Job ID 13261Date posted 11/18/2025

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 dynamic and driven sales professional who thrives in collaborative environments and is passionate about building strong partnerships.

With a proven track record in the software industry, you understand the nuances of indirect and direct sales, and you excel at developing and nurturing relationships with both channel partners and customers.

Your consultative approach enables you to identify and address customer needs, ensuring optimal solutions and satisfaction.

You possess a strategic mindset, leveraging data and market insights to inform sales strategies and drive growth.

Your leadership skills shine through as you coach and motivate partner representatives, fostering their development and success. Adaptable and resourceful, you navigate complex situations with ease, mediating issues and facilitating effective resolutions.

Your communication and negotiation skills are second to none, allowing you to engage confidently with senior executives and key stakeholders.

You are committed to continuous learning, staying abreast of industry trends and best practices.

Fluent in English and Polish, you bring cultural sensitivity and a global perspective to your work.

Above all, you are passionate about technology and innovation, eager to contribute to Synopsys’ mission and make a lasting impact in the region.

What You’ll Be Doing:

· Driving sales of ANSYS solutions within a specified region through channel partners, embodying ANSYS Channel principles.

· Owning and executing the sales plan for your territory, ensuring growth targets are consistently met.

· Providing hands-on leadership for sales opportunities and guiding channel partner reps with a “sell-with” approach.

· Building and nurturing relationships with senior-level customer executives to unlock new market opportunities.

· Coaching and motivating channel partner representatives to enhance their ANSYS selling skills and performance.

· Conducting joint customer visits and ensuring timely completion of sales, technical, and principal trainings and certifications.

· Delivering accurate and timely sales forecasts; regularly reviewing pipeline and forecast with channel partners.

· Managing partner capacity and capabilities to ensure optimal coverage and effectiveness.

· Serving as the central point of contact for all sales matters at the partner, ensuring efficient workflows.

· Implementing ANSYS Partner Program initiatives, including marketing programs, to drive regional success and future growth.

· Mediating channel partner requests/issues and assisting in tactical solution strategies for customer satisfaction.

· Collaborating with ANSYS regional sales leaders to analyse market trends and define go-to-market strategies.

The Impact You Will Have:

· Accelerating sales growth and market penetration for ANSYS solutions in Poland and the wider region.

· Empowering channel partners with the skills and resources needed to succeed in a highly competitive market.

· Shaping the future of simulation and PLM software adoption among small and medium-sized businesses.

· Enhancing customer satisfaction and loyalty through effective resolution of issues and proactive engagement.

· Driving best practices in channel sales, contributing to Synopsys’ reputation as an industry leader.

· Supporting the implementation and success of the ANSYS Partner Program, fostering long-term growth.

· Contributing to strategic decisions through market analysis and feedback, shaping regional business direction.

· Facilitating seamless collaboration between channel partners and internal Synopsys teams for efficient operations.

What You’ll Need:

· Bachelor’s degree in a technical, engineering, business or related field.

· 6+ years of successful sales, key accounts, and indirect channel account management experience in the software industry, OR 8+ years of relevant experience.

· Demonstrated understanding of scientific or technical software products/services, including pricing and licensing practices.

· Proven consultative selling skills and experience with complex sales cycles.

· Exceptional contract negotiation abilities with key accounts.

· Strong analytical, planning, and organizational skills.

· Fluent in English and Polish

· Excellent time management, communication, and presentation skills.

· Ability to travel up to 50% of the time

· MBA or advanced degree, and experience in simulation/PLM software industry are preferred.

Who You Are:

· A collaborative leader who inspires and motivates others.

· Strategic thinker with a proactive approach to problem-solving.

· Effective communicator, able to engage with stakeholders at all levels.

· Adaptable and resilient, thriving in fast-paced environments.

· Customer-centric, always striving to deliver exceptional value.

· Detail-oriented with strong organizational skills.

· Committed to continuous personal and professional growth.

The Team You’ll Be A Part Of:

You’ll join a high-performing, collaborative sales team focused on driving growth through strategic partnerships and channel excellence. The team is passionate about delivering value to customers and partners, leveraging deep industry expertise and innovative sales strategies. You’ll work closely with regional leadership, technical sales, marketing, and operational teams to ensure seamless execution and continuous improvement in channel engagement.

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.

#LI-Remote, #LI-Hybrid, #AnsysJob

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Program Manager, Product Policy

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Product Policy

Compensation

• $261K – $335K • 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 Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern use of OpenAI’s services, including ChatGPT, GPTs, the GPT store, Sora, and the OpenAI API. As a member of this team, you will be instrumental in developing and operationalizing policy approaches to best enable both innovative and responsible use of AI so that our groundbreaking technologies are truly used to benefit all people.

About the Role

We are looking for a program manager to strengthen the operational backbone of the Product Policy team. This role focuses on making our core processes run smoothly and reliably—how we update policies, track progress, coordinate with ops, and manage the mechanics that enable the team to move quickly and responsibly. This person will own critical operational workflows and support priority initiatives.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own and improve Product Policy’s core operational processes (e.g., policy updates, cross-functional handoffs, tracking and reporting).

• Build and maintain systems to measure progress, surface risks, and ensure accountability across workstreams.

• Coordinate day-to-day execution with operations, integrity, safety, and legal partners.

• Support priority initiatives by organizing workplans, driving follow-ups, and keeping execution on track.

• Develop lightweight tools, templates, and documentation that make the team more efficient and predictable.

• Translate policy requirements into clear operational steps for partner teams.

What we’re looking for:

• Experience running operational programs or processes in cross-functional environments.

• Strong organizational skills and attention to detail, with an instinct for improving systems.

• Comfort working with policy, technical, and operational stakeholders.

• Ability to execute independently while escalating issues appropriately.

• Background in policy / trust and safety.

You might thrive in this role if you:

• Have worked 7+ years in product policy or similar roles.

• Possess excellent communication skills with demonstrated ability to communicate with product managers, engineers, researchers, and executives alike.

• Are comfortable with ambiguity and enjoy going 0 to 1.

• Are a creative thinker with an eye for opportunities to leverage data to inform policies.

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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