Your primary responsibilities will include implementing end-to-end data integrations, syncing customer's data to Scale's platform and back, and working closely with our customer's engineering teams to optimize data pipelines. You will also design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success.

In addition, you will partner with Software Engineers and Operations to remove any technical hurdles customers may face, debug technical issues impacting delivery and own technical escalations coming from the customer. You will be accountable for the customer's technical experience throughout their time with Scale.

The ideal candidate will have a track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way. Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals is also required.

We offer a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position is $190,000-$290,000 USD in San Francisco, New York, and Seattle, $170,000-$260,000 USD in Hawaii, Washington DC, Texas, and Colorado, and $140,000-$220,000 USD in St. Louis.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Our internal events play a key role in helping to shape and amplify Google DeepMind's culture, enabling collaboration and celebrating key moments for the organisation at an important stage of our journey.

As an Events Manager, you will be embedded in the GenAI Unit and will focus on events and experiences for this groundbreaking team whose mission is to build state of the art models and accelerate intelligent experiences across Google's platforms and products.

You will partner with teams across Google DeepMind and Google to deliver a variety of events across the globe including Town Halls, Summits, hackathons, offsites and celebrations to drive collaboration, knowledge sharing and connection at scale.

Key responsibilities:

• Own and strategically develop the full suite of GenAI Unit events programs, from large scale team events to intimate team gatherings.

• Respond nimbly to briefs from stakeholders to create event experiences in support of specific objectives, often with short lead times.

• Adapt and innovate, bringing fresh and innovative approaches in an ever-changing environment.

• Manage end to end event delivery and execution of large scale 2500+person events as well as small activations (for example: team summits, leadership meetings, launch celebrations).

• Domestic and international travel for global events programs.

• Create detailed project plans and timelines, tracking workstreams and deliverables, and flagging and mitigating risks.

• Create detailed briefs (documents and presentations) for executive stakeholders.

• Build budgets, tracking spend and processing contracts and purchase orders.

• Consult and partner with teams within the GenAI unit and across Google DeepMind (Events & Experiences, Enterprise Engineering, Workplace, Comms, Marketing etc) coordinating cross functional working groups to deliver seamless experiences that meet the agreed objectives.

• Brief and collaborate with external agencies and internal Google vendor partners on venue, technical production and logistics requirements.

• Track and analyze agreed event metrics to assess success and to inform future event programs.

• Ensure all events are compliant with Google's health and safety, regulatory, and other governance policies, providing a secure and welcoming environment for all.

To set you up for success as an Events Manager at Google DeepMind, we look for the following skills and experience:

• Exceptional attention to detail.

• Exceptional end to end project management skills and proven experience managing high complexity events through the full lifecycle, including planning, budgeting, execution, and retrospectives.

• Ability to throttle. Experience and passion for leading both large scale 2000+ person events as well as smaller scale activations with varying scopes and audiences.

• Comfortable navigating change and ambiguity in a very fast paced and demanding environment.

• Natural problem solving skills with a wildly creative, innovative, and curious approach to the work.

Open to new ideas and learning opportunities, even when deadlines are nearing.

• Ability to simultaneously manage multiple events at different stages and meet all deadlines.

• Excellent relationship building skills. Values colleagues as partners and has a long term lens on cross-org relationships.

• Interest or experience in science and innovative technology, including in the field of artificial intelligence research or deployment of machine learning systems.

• Must work from the Mountain View office 3 days a week.

• Flexibility for both national and international travel, at times on short notice.

• Minimum 8 years of experience in events leadership at the scales and scopes mentioned.

• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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Technical Program Manager, Frontier AI Research

About Us

Google DeepMind is a technology company that develops artificial intelligence (AI) and machine learning (ML) systems.

The Role

As a Technical Program Manager in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research.

Key Responsibilities

• Program Strategy and Execution: Translate complex research and engineering efforts into execution plans and measurable goals, and actively drive delivery through sprints or equivalent methodologies.
• Technical Due Diligence: Utilize advanced TPgM tools and processes, evaluate engineering scope, establish technical roadmaps, and influence technical direction.
• Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives.
• Operational Excellence: Build and optimize scalable operational frameworks, establishing robust mechanisms to monitor program performance and anticipate technical risks while strategically reducing your personal operational load to allow it to scale.
• Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
• Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership.
• Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape.

About You

• Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment.
• Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects.
• Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments.
• Preferred Qualifications:
• Master’s or PhD degree in a technical field, particularly related to AI/machine learning.
• Direct experience in AI/ML research or development
• Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization.
• Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact.

Salary

The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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xAI is seeking a Manager, Safety Operations to oversee the processing of appeals and ensure proper labeling of use cases in the system.

Responsibilities

• Guide the team's use of proprietary software to provide labels, annotations, and inputs on projects involving safety protocols, risk scenarios, and policy compliance.
• Ensure the delivery of high-quality curated data that reinforces xAI's rules and ethical alignment.
• Mentor team members, conduct performance management and calibration, drive feedback on tasks that improve AI's defenses to detect illegal and unethical behavior, identify emerging abuse vectors, and implement process improvements and automations.
• Align Grok with our rules enforcement while collaborating cross-functionally to strengthen overall safety operations.

Basic Qualifications

• Proven leadership and people management experience in AI-driven operations, with a track record of developing high-performing teams.
• Expertise in improving Large Language Models (LLMs) to maximize efficiencies in enforcement and support and ability to propose and implement solutions to increase security and safety of our platform.
• Proven experience in online safety and reducing harm to protect our users and preserve Free Speech in the global public square.
• Ability to interpret, apply, and train teams on xAI safety policies effectively.
• Proficiency in analyzing complex scenarios and operational metrics, with strong skills in ethical reasoning, risk assessment, and team performance optimization.
• Strong ability to utilize resources, guidelines, and frameworks for accurate safety-focused actions, escalations, and talent development.
• Strong leadership, communication, interpersonal, analytical, and ethical decision-making skills.
• Quality assurance: Ability to hold the team to our high standard for quality work; managing performance as needed.
• Commitment to continuous improvement of processes, people, and operations to prioritize safety and risk mitigation.
• Expertise in data analysis to identify emerging abuse vectors, uncover opportunities for operational efficiencies, and design automations that strengthen enforcement effectiveness and platform safety.

Preferred Skills and Experience

• Experience managing teams in Trust and Safety for a social media company, leveraging AI or other automation tools.
• Expertise in leading red-teaming and adversarial testing of Large Language Models to proactively identify novel abuse vectors, jailbreaks, and safety failure modes, with a proven ability to translate findings into concrete improvements for enforcement systems, team processes, and platform robustness.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets.

Our tools are widely adopted internally — powering ongoing enforcement, threat intelligence investigations, model audits, and more — and we’re looking for experienced engineers and researchers to both scale up existing applications and go zero-to-one on new ones.

About the Role

As a Research Engineer on our team, you'll design and build systems that let AI analyse large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. You'll work across the full stack, from core analysis frameworks through user-facing apps and interfaces.

This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.

Responsibilities:

• Design and implement AI-based monitoring systems for AI training and deployment

• Extend and improve core frameworks for processing large volumes of unstructured text

• Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions

• Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings

• Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest

You May Be a Good Fit If You:

• Have 5+ years of software engineering experience, with meaningful exposure to ML systems

• Are excited about the problem of scaling human oversight of AI systems

• Are familiar with LLM application development (context engineering, evaluation, orchestration)

• Enjoy building tools that other people use — you care about UX, reliability, and documentation

• Can context-switch between deep infrastructure work and user-facing product thinking

• Thrive in collaborative, cross-functional environments

Strong Candidates May Also Have:

• Research experience in AI safety, alignment, or responsible deployment

• Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks

• Experience with productionizing internal tools or building developer-facing platforms

• Background in building monitoring or observability systems

• Comfort with ambiguity — our team is small and growing, and you'll help define what we become

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work.

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Location

Europe

Employment Type

Full time

Location Type

Remote

Department

EngineeringEngineering

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

About the role

• Lead the delivery of complex engineering projects, breaking them down into manageable stages with predictable timelines. Make informed decisions on trade-offs and effectively communicate these to stakeholders. Challenge and support senior engineers to achieve technical excellence.

• Understand engineering leveling and scale the team by identifying and filling skill gaps. Collaborate with recruiting to attract and retain top talent, ensuring the team structure supports current and future business needs.

• Monitor team performance proactively, identifying and addressing issues promptly. Develop strategies to retain top performers through growth opportunities and recognition.

• Navigate difficult conversations with clarity and empathy, especially when working with senior team members. Resolve disagreements by focusing on solutions that align with business goals and foster a collaborative team environment.

• Team you would be leading - Developer Platform is a team focused on helping engineers at Synthesia build, ship, and operate software faster and more safely by providing opinionated, self-service tooling with strong defaults. As the company grows, complexity grows with it. Our job is to create structure and tools to simplify and reduce that complexity so product teams don’t have to.

What we're looking for:

• Proven experience in leading engineering teams and delivering large-scale projects with predictable outcomes, ideally 2+ years.

• Strong understanding of engineering levels and experience in scaling teams effectively.

• Proven ability to track performance and helping every team member improve output and achieve career goals.

• Excellent communication skills, with experience in handling difficult conversations and resolving conflicts constructively.

• Relevant engineering background for a team building an enterprise-grade SaaS product.

• Experience in leading Platform/DevEx teams is a big plus, but not mandatory.

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 80% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.

The hiring process:

1. 30-40min call with a Technical Recruiter

1. 45min call with an Engineering Manager

1. Take-home assignment (no coding required) - writing an RFC, solution proposal

1. 60min task debrief and technical discussion

1. 45min call with leadership

The process does not need to take long - we can be done in seven working days.

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $302K – $385K • 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.

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.

Job Description

The Executive, Strategic Global Partnerships & Ecosystem will be responsible for defining, building, and scaling the company’s global revenue partner ecosystem. This executive will architect and steward a world-class network of strategic partners, including global systems integrators, technology platforms, hyperscalers, services firms, and ecosystem leaders that materially extends OpenAI’s reach, accelerates enterprise and public-sector adoption, and drives durable, long-term revenue growth.

This role operates at the intersection of strategy, revenue, product, and external ecosystem leadership. Beyond executing partner motions, this leader will shape how OpenAI goes to market globally through partners - deciding where partnerships matter most, which partners fundamentally change OpenAI’s trajectory, and how ecosystem leverage becomes a sustained competitive advantage.

The Executive will work in close partnership with the CRO, Chief Commercial Officer, Product leadership, and executive team to ensure partnerships are fully embedded into OpenAI’s GTM, product roadmap, and long-term growth strategy.

Role and Responsibilities

• Strategic Leadership: Define and own OpenAI’s global partnerships and ecosystem strategy, serving as a senior advisor to the CRO, CCO, and executive leadership while representing OpenAI externally with the world’s most influential partners, customers, and ecosystem leaders.

• Partner Ecosystem Expansion: Build and scale deep, executive-level relationships with global systems integrators, hyperscalers, multinational services firms, and regional partners, establishing and evolving transformational partnerships that accelerate adoption, unlock constrained markets, and extend OpenAI’s global reach.

• Revenue Generation: Drive significant, scalable revenue through partner-led, partner-sourced, and partner-influenced motions, with full accountability for ecosystem contribution to OpenAI’s long-term revenue mix, market expansion, and growth objectives.

• Partner Enablement: Establish a world-class global partner enablement model that ensures partners can confidently sell, deploy, and scale OpenAI solutions in alignment with OpenAI’s technical standards, customer expectations, and evolving product roadmap.

• Operational Excellence: Build and lead a senior, globally distributed partnerships organization and operating model, working cross-functionally across Sales, Product, Engineering, Marketing, Legal, and Operations to deeply integrate partnerships into OpenAI’s GTM and delivery motion.

• Incentive Structures: Design and implement incentive frameworks that align partner investment, services attachment, and long-term ecosystem commitment with OpenAI’s strategic priorities, revenue goals, and brand standards.

Skills/experience

• Proven track record operating at senior executive or EVP level, leading global partnerships, alliances, or ecosystems at scale.

• Demonstrated success building and scaling complex global partner ecosystems that drive meaningful revenue and market expansion.

• Deep understanding of channel sales, strategic alliances, and ecosystem-driven growth models in enterprise technology.

• Experience operating in both high-growth and scaled environments, with the judgment to balance long-term strategy and near-term execution.

• Strong cross-functional leadership skills, with experience partnering closely with Sales, Product, Marketing, and Operations.

• Exceptional executive presence and communication skills, with the ability to influence at the C-suite level internally and externally.

Nice to have

• Industry Experience: Prior experience in AI, cloud platforms, enterprise software, or developer-led ecosystems.

• International Experience: Experience operating globally, including international markets and regulated environments.

About OpenAI

OpenAI is a technology company that focuses on developing and commercializing artificial intelligence (AI) systems. It was founded in 2015 and has since grown to become one of the leading AI research and development companies in the world.

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Microsoft AI are looking for a talented Principal Software Engineer at their Beijing office. This role sits at the heart of building an intelligent platform for content creators, supporting partner/brand onboarding, content ingestion, engagement data analysis and visualization, revenue sharing computation, and payment processing.

About the Role

We are the MSN Content Ecosystem team under the Microsoft AI Department, building an intelligent platform for content creators. Our platform supports partner/brand onboarding, content ingestion, engagement data analysis and visualization, revenue sharing computation, and payment processing. We leverage AI to empower creators through: Customer Service Chatbot: Quickly answers any MSN partner hub related questions; Data Insight Analyzer: Analyzes revenue, content, and user data to help partners identify high-performing content patterns and optimize strategies.

Accountabilities

• Design and develop core platform services for partner content onboarding, lifecycle management, data analytics, and revenue computation, ensuring correctness, extensibility, and measurable business impact.
• Lead architectural design and hands-on implementation of scalable distributed systems; drive high-quality engineering through design reviews, code reviews, testing, and secure-by-design practices.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid computer science fundamentals and background knowledge in AI.
• Solid communication skills and a collaborative mindset.

Personal attributes:

• Prior experience in AI-related roles.

Benefits

• Microsoft’s mission is to empower every person and every organization on the planet to achieve more.
• As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
• Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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What you'll do

• Own and lead all aspects of the tax function at Perplexity, including direct tax (federal, state, and international income tax) and indirect tax (sales & use tax, VAT/GST, digital services taxes).
• Build the tax function from the ground up: establish processes, policies, internal controls, and systems to support a scalable and efficient tax operation.

What you need

• 10+ years of progressive tax experience, including a combination of public accounting (Big 4 preferred) and in-house experience at a high-growth technology company.

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