In this role, you will:

• Architect, develop, and maintain scalable test infrastructure supporting developers, integration, and QA for the next-gen EV platform.
• Build and optimize frameworks for automation, validation, and continuous integration across embedded, Android, and cloud environments.
• Partner with developers and QA to improve test coverage, speed, and reliability across mobile apps, in-vehicle systems, and backend services.
• Integrate automated testing into CI/CD pipelines (Jenkins, GitHub Actions, or similar) with support for containerized and cloud-based execution.
• Develop and extend tooling for pytest (Python), Appium, and service-level test frameworks.
• Scale infrastructure in Kubernetes and Google Cloud Platform (GCP) to support distributed and parallel test execution.
• Improve test observability with dashboards, reporting, and alerting for failures and system health.
• Act as a technical mentor for engineers across QA, integration, and development teams.
• Build towards an automation-first culture and continuous improvement in software quality.

Requirements:

• Bachelor's or equivalent combination of relevant education and experience.
• 7+ years experience in software development, test automation, or infrastructure engineering.
• Strong proficiency in Python and frameworks such as pytest.
• Proven ability to architect scalable test systems that serve multiple teams.
• Hands-on experience with Appium (or similar UI automation frameworks for Android/iOS).
• Deep knowledge of Linux systems, shell scripting, and system-level debugging.
• Experience with Kubernetes, Docker, and cloud platforms (GCP preferred, AWS/Azure acceptable).
• Strong background in CI/CD pipelines, build systems, and test orchestration.
• Experience working with Android systems and SDKs.
• Excellent collaboration and communication skills; able to work cross-functionally with developers, QA, and integration engineers.

Preferred qualifications include experience with automotive, embedded systems, or IoT platforms, familiarity with vehicle testing frameworks, CAN/LIN, or HIL/SIL setups, and knowledge of cloud-native monitoring and logging.

As an established global company, we offer a range of benefits, including immediate medical, dental, vision, and prescription drug coverage, flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more.

This position is a leadership level 6 and ranges from $146,520-276,600.

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Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We’re seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI.

You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft’s most transformative products.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.

Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.

Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.

Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

8+ years in technical engineering roles building large-scale services.

8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.

Proven ability to design, build, and ship agentic AI features or frameworks.

Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.

Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.

Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We’re seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI.

You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft’s most transformative products.

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.

Responsibilities:

Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.

Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.

Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.

Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience.

Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

8+ years in technical engineering roles building large-scale services.

8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.

Proven ability to design, build, and ship agentic AI features or frameworks.

Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.

Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.

Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

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Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We're seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

You'll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI.

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.

Responsibilities:

• Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

• Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.

• Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

• Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.

• Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.

• Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience.

• 8+ years in technical engineering roles building large-scale services.

• 8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.

• Proven ability to design, build, and ship agentic AI features or frameworks.

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

• Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.

• Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.

• Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

• Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI

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You'll be responsible for leading & growing the Applied AI Architect, Enterprise Tech (Cyber) team, establishing processes and best practices for your segment's pre-sales engagements based on your years of experience, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important partnerships.

In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.

You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities:

Manage and mentor a team of Applied AI Architects, Enterprise Tech (Cyber) providing both technical guidance and career development

Set goals and reviews for your team, promoting growth and output

Work with a handful of highest-value Enterprise Tech customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution

Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Enterprise Tech (Cyber) customers

Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products

Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships

Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products

Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases

Contribute to thought leadership through conference presentations, webinars, and technical content creation

Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector

You may be a good fit if you:

Have 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role

Have 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)

Have experience with the unique technical requirements and technical procurement process of enterprise tech companies

Have deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment

Have excellent communication, collaboration, and coaching abilities

Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry

Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general

Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

Make ambiguous problems clear and identify core principles that can translate across scenarios

Have a passion for making powerful technology safe and societally beneficial

Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playboards

Stay up-to-date and informed by taking an active interest in emerging research and industry trends

Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

Strong candidates may have:

Enterprise SA Leadership at Scale: 5+ years leading solution architect teams through hypergrowth (ideally 10→50+ people), with direct experience managing both senior SAs and developing junior talent in complex enterprise software environments

AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles

Multi-Segment GTM Experience: Demonstrated success adapting technical approaches across customer segments (startup to Fortune 500), with experience spanning the full deal spectrum from $2M employee empowerment through $100M+ core business transformation initiatives

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As a Backend Engineer - API at xAI, you will play a crucial role in building the xAI API that serves our models to developers worldwide. You will own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling.

Responsibilities

• Build the xAI API that serves our models to developers worldwide
• Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling

Basic Qualifications

• Expert knowledge of either Rust or C++
• Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems
• Knowledge of service observability and reliability best practices
• Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB

Preferred Skills and Experience

• Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM)
• Experience designing or building with agent SDKs and agent orchestration frameworks
• Experience with Docker, Kubernetes, and containerized applications
• Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping)

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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Developer Ecosystem – Staff Technical Program Manager

United States Off-siteSave

Category

Product Management

Remote Eligible

Yes

Hire Type

Employee

Job ID

16741

Base Salary Range

$102000-$154000

Date posted

04/21/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect, from advanced engineering simulation to semiconductor design and beyond. With the integration of legacy-Ansys simulation solutions, we empower our customers to tackle real-world engineering challenges across industries such as automotive, aerospace, energy, electronics, and more. Our technology portfolio now includes the industry-leading simulation tools engineers rely on to design, test, and optimize products for performance, reliability, and safety.

You Are:

You are a forward-thinking technical leader who thrives at the intersection of product management, developer experience, and platform strategy. With a passion for technology and a strong technical acumen, you are energized by empowering engineers and methods developers to build tomorrow’s innovations and excited about the role that AI can play in the developer experience. Your experience spans software development, product management, and open-source ecosystems, enabling you to tackle complex challenges and drive consensus among cross-functional teams. You understand how critical seamless integration, extensibility, and ease of use are for developer tools, and you’re committed to elevating these standards across platforms and products.

What You’ll Be Doing:

• Owning the product strategy and roadmap for Ansys developer tools, including PyAnsys libraries, APIs, MCP connectors, SDKs, and platform integrations.

• Defining and maintaining a cohesive vision for developer tooling across multiple product lines, ensuring alignment with Ansys and Synopsys strategies.

• Establishing and evangelizing standards for developer experience, API design, documentation, and lifecycle management to ensure consistency and ease of use.

• Partnering with engineering, architecture, and platform teams to deliver high-quality, maintainable, and well-documented developer tools.

• Driving adoption, satisfaction, and improvement initiatives for developer tools by tracking metrics, identifying addressing friction points, and engaging with customers and partners.

• Guiding integrations with external platforms (such as NVIDIA Omniverse), ensuring technical soundness, scalability, and alignment with ecosystem goals.

• Collaborating with cross-functional teams (product managers, DevOps, documentation, developer advocacy, field teams) to deliver end-to-end solutions and support real-world use cases.

• Leading the creation of technical enablement assets including white papers, application notes, developer documentation, webinars, demos, and workshops.

The Impact You Will Have:

• Enable customers and partners to reliably extend and deploy Ansys capabilities within their own workflows and platforms, accelerating innovation across industries.

• Drive measurable improvements in developer tool adoption, satisfaction, and usability, positioning Ansys and Synopsys as developer-friendly platforms.

• Establish clear standards and best practices for developer tooling, fostering consistency, reliability, and extensibility across product lines.

• Empower engineering teams to deliver high-quality, maintainable tools that reduce friction and unlock new integration possibilities.

• Expand the reach of physics simulation beyond core engineering audiences, enabling professionals in fields like healthcare and manufacturing to leverage simulation insights.

• Build a vibrant developer ecosystem that supports traditional developers and agent-based workflows, enhancing platform readiness for emerging technologies.

• Align internal teams around shared goals, clear ownership boundaries, and a cohesive vision for developer experience, driving organizational efficiency and collaboration.

What You’ll Need:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience); advanced degree preferred.

• 5+ years of combined experience in engineering, CAE simulations, or software product management (or equivalent combination of education and experience).

• Strong understanding of APIs, SDKs, developer tooling, REST/gRPC interfaces, Python ecosystems, and open-source workflows.

• Demonstrated programming abilities in one or more languages: Python, Java, .NET, C++, Python preferred.

• Experience working with software engineers and architects on technically complex products or projects.

• Ability to occasionally work irregular hours to support international events and audiences.

• Experience with script-based customization of engineering processes and simulation workflows.

• Familiarity with NVIDIA Omniverse or other emerging developer platforms is a plus.

• Excellent communication skills, with the ability to articulate business value of technical innovations to diverse stakeholders.

Who You Are:

• Collaborative and inclusive, valuing diverse perspectives and fostering teamwork across functions and geographies.

• Strategic thinker with a keen eye for detail, able to balance big-picture vision with practical execution.

• Customer-centric, passionate about understanding user needs and delivering impactful solutions.

• Adaptable and resilient, thriving in fast-paced environments with evolving priorities.

• Proactive problem-solver, eager to identify and address gaps, friction points, and opportunities for improvement.

• Clear and persuasive communicator, capable of engaging technical and business audiences alike.

• Curious and committed to continuous learning, staying ahead of trends and best practices in developer tools and simulation software.

The Team You’ll Be A Part Of:

You’ll join a dynamic, cross-disciplinary team focused on advancing the developer ecosystem for Ansys and Synopsys products. The team collaborates closely with engineering, architecture, platform, and field teams to deliver and drive adoption of developer tools that empower innovation across industries. You will play a pivotal role in aligning strategy, standards, and deliverables across business units, as well as driving a shared vision for developer experience and platform extensibility. Together, you’ll help shape the future of simulation and developer enablement

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You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale.

In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Customer Success to convert technical success into durable revenue growth and long-term customer commitment.

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Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide.

What You'll Do

We are looking for an experienced Developer Relations Engineer to join our team and support EOS Anti-Cheat (also known as "Easy Anti-Cheat"). You will serve as a crucial technical liaison between our internal engineering teams and external partners, assisting them in integrating, debugging, and optimizing Anti-Cheat in their projects. Your role involves deep technical troubleshooting of issues, analysing crash dumps, debugging low-level C/C++ code, and providing effective solutions and technical insights. You will help guide design decisions for Anti-Cheat, contributing to technical documentation and maintaining active communication internally and externally.

In this role, you will

• Troubleshoot complex integration and operational issues involving Anti-Cheat, analysing crash dumps, logs, and call stacks to identify root causes
• Collaborate directly with external game developers and internal teams to resolve technical issues promptly and effectively
• Debug and reproduce customer issues, clearly documenting and communicating findings internally and externally
• Represent Epic Games through asynchronous and live support, presence at trade shows such as UEFest, and customer visits
• Develop and maintain clear, comprehensive technical documentation, tutorials, and guides to support partner integration
• Advocate for partners' successful integration and continued use of Anti-Cheat and related Epic technologies, and influence product improvements through customer insights
• Research and identify opportunities to enhance Anti-Cheat technologies and developer experience

What we're looking for

• Highly proficient in C and C++, particularly low-level or kernel-level debugging and development
• Strong ability to analyse crash dumps and debug complex, obfuscated code at the assembly level
• Familiarity with cross-platform development (Windows, Linux, macOS), understanding differences and limitations across these platforms
• Exceptional problem-solving abilities, proactively tackling issues independently
• Excellent verbal and written communication skills to effectively collaborate with internal teams and external partners
• Ability to manage multiple tasks simultaneously, work well under pressure, and prioritise to meet SLA targets
• Prior experience with SDK/API integration and understanding of software engineering principles, including legacy support
• Understanding of online multiplayer video game architectures and associated security concerns

Epic Job + Epic Benefits = Epic Life

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognise individuals for 7 years of employment with a paid sabbatical.

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You will administer onboarding and enablement tactics across multiple products, advising on best practices for deploying ElevenLabs across web, mobile, and backend systems. You will analyze product usage and performance signals to identify friction points, unblock adoption, and help customers realize measurable value from the platform.

In parallel, you will own commercial outcomes across a defined portfolio of approximately 80 accounts. Success is measured by Gross Revenue Retention and Net Revenue Retention, with a strong emphasis on sustained multi-product adoption. You will identify expansion opportunities, drive renewals and upsells, and partner closely with Sales, Engineering, and Customer Success leadership to turn technical success into durable revenue growth.

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Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

Lead the design, development, and deployment of advanced AI and machine learning solutions supporting Honda’s automotive R&D initiatives, with a focus on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins,owning solutions end-to-end and mentoring engineers while partnering with CAE, CAD, manufacturing, and data platform teams.

Key Accountabilities

• Lead development and validation of AI/ML solutions with measurable impact for automotive engineering - CAE, and manufacturing use cases.
• Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE.
• Architect and deploy scalable cloud-based AI systems on AWS/Azure aligned with enterprise governance.
• Own the full AI lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
• Implement MLOps and GenAIOps best practices (versioning, drift detection, CI/CD, traceability).
• Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute/augment/monitor workflows.
• Support ETL activities related to ADC data (CAE) structure.
• Establish design standards, code quality, and documentation to support reuse and auditability.
• Mentor and technically guide mid-level and junior engineers.

Qualifications, Experience, and Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
• 8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.

_Other Job-Specific Skills_

• Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs)
• Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts
• Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Strong foundation in statistics, optimization, and numerical methods
• Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock)
• Experience with LangGraph / LangChain & Strands SDK.
• Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD)
• Knowledge of model governance, compliance, and responsible AI frameworks
• CAE/physics-informed ML, surrogate modelling, or simulation experience (preferred).
• Prior knowledge of automotive or related design engineering work is a plus.

Job Dimensions

Decisions Expected

Working Conditions

• Work is primarily conducted at an office desk; hybrid (office/home) work may be available.
• Occasional travel and overtime may be required based on project milestones.
• Work in a cross-functional environment supporting engineering, simulation, and manufacturing stakeholders.

What differentiates Honda and makes us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Regional Bonus (when applicable)
• Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale.

In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Customer Success to convert technical success into durable revenue growth and long-term customer commitment.

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You will administer onboarding and enablement tactics across multiple products, advising on best practices for deploying ElevenLabs across web, mobile, and backend systems. You will analyze product usage and performance signals to identify friction points, unblock adoption, and help customers realize measurable value from the platform.

In parallel, you will own commercial outcomes across a defined set of accounts. Success is measured by Net Revenue Retention and New Product Expansion, with a strong emphasis on sustained multi-product adoption. You will identify expansion opportunities, drive renewals and upsells, and partner closely with Sales, Engineering, and Customer Success leadership to turn technical success into durable revenue growth.

This is the first dedicated Customer Success role in the region and you’ll be part of an early GTM team - we’re looking for people who are excited to build and not just execute on a playbook.

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As a Partner Solutions Architect, you will lead the technical engagement across Constructor’s partner ecosystem, including System Integrators (SIs) and Technology / Independent Software Vendor (ISV) partners. You will work at the intersection of partnerships, product, and go-to-market, ensuring our partners are equipped to successfully position, integrate, and deliver Constructor’s platform.

This is a high-impact builder role. You will help define how Constructor works with partners technically: creating integration standards, developing enablement programs, and supporting partner-led deals. This role focuses on scaling technical success through partners, not just direct deal support.

You will serve as the technical liaison to our partners, ensuring alignment with Constructor’s product and engineering standards. You'll define how we engage technically with partners, create the playbooks, lead the solutioning, and set the standard for what a great Constructor integration looks like.

Key Responsibilities:

Partner Technical Solutioning & Pre-Sales Solutioning

• Lead technical discovery and solution design for partner-led opportunities
• Collaborate with SIs and ISVs to design scalable integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines)
• Serve as the primary technical advisor in joint partner-customer engagements
• Support and guide partners in building Proof Schedules (lightweight POCs) and tailored demos
• Build and present compelling custom technical demonstrations and integration blueprints tailored to partner-led opportunities.
• Assist in RFP/RFI responses in collaboration with partners and internal teams
• Troubleshoot and triage APIs, SDKs, and integration patterns

Partner Enablement & Technical GTM

• Design and deliver technical enablement programs for partners in conjunction with partner success managers across all Constructor solutions and integration points.
• Create scalable assets: reference architectures, integration guides, demo environments, and certification materials
• Collaborate with Partnerships leadership to develop joint go-to-market playbooks
• Translate Constructor’s product capabilities into partner-ready technical narratives
• Enable partners to independently position and implement Constructor without heavy internal reliance

Integration Leadership & Quality

• Define and uphold best practices and standards for partner-built integrations
• Support onboarding of new partners with hands-on technical guidance
• Review and validate partner implementations to ensure performance, scalability, and quality
• Identify opportunities to build accelerators, reusable components, and tooling to reduce time-to-value

Cross-Functional Collaboration

• Act as the bridge between partners and internal teams (Product, Engineering, Sales, Sales Engineering, Customer Success)
• Surface partner feedback to influence product roadmap and integration strategy
• Collaborate with Sales Engineering to ensure consistency across direct and partner channels
• Contribute to internal enablement, documentation, and best practices

Market & Ecosystem Engagement

• Stay current on ecommerce trends, composable architecture, and AI/ML advancements
• Represent Constructor in partner meetings, field events, and industry engagements
• Build strong relationships with partner technical stakeholders (architects, engineers, delivery teams)

What Success Looks Like

• Partners can confidently position, implement, and scale Constructor independently
• Integration architectures are clear, repeatable, and aligned with Constructor best practices
• Partner-led deals progress efficiently with minimal technical friction
• Enablement programs drive measurable increases in partner-sourced pipeline and delivery quality
• Product and Engineering receive actionable, structured partner feedback
• Strong qualitative and quantitative feedback from partners, prospects, and internal stakeholders

Working Style

• Comfortable operating in a remote, distributed, and highly cross-functional environment
• Able to manage multiple partner engagements and priorities simultaneously
• A builder mindset that is proactive in creating structure in ambiguous environments
• Highly collaborative with a strong sense of ownership and autonomy
• Commercially aware and aligned with revenue and partner growth goals

Requirements

• 4+ years in Solutions Engineering, Partner Engineering, or Technical Pre-Sales roles
• Experience working with or alongside SI or ISV partner ecosystems
• Strong experience designing SaaS or API-based integrations
• Familiarity with modern ecommerce platforms and architectures (e.g., Shopify, Salesforce Commerce Cloud, commercetools, SAP, headless/composable)
• Experience supporting Proof of Concept/pilot programs

Technical Skills

• Deep hands-on experience with API-first platforms and comfortable working directly with REST APIs, JSON data structures, webhook frameworks, and SDK integration patterns
• Working knowledge of JavaScript (Node.js preferred) or similar scripting language
• Ability to troubleshoot APIs and integration workflows
• Experience building demo prototypes or lightweight integrations

Core Capabilities

• Exceptional communicator; able to translate complex technical concepts into clear business value
• Strong consultative discovery and problem-solving skills
• Ability to engage both technical stakeholders and executive audiences
• Skilled listener with high curiosity and empathy for partner and customer challenges
• Ability to balance technical depth with strategic thinking

Preferred Requirements

• Experience in enterprise ecommerce or retail technology environments
• Familiarity with AI/ML-driven SaaS platforms
• Experience building partner enablement programs or certification frameworks
• Experience working with cloud-native or composable architectures
• Multilingual capabilities (Portuguese, Spanish)

Benefits

• Unlimited vacation time
• Competitive compensation package including stock options
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact

Diversity, Equity, and Inclusion at Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status

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These partnerships drive three core outcomes:

• Deep product integrations that make ElevenLabs a native part of partner workflows
• Distribution through partner ecosystems (marketplaces, developer platforms)
• Revenue growth via partner-sourced, partner-influenced, and product-led usage

This role sits at the intersection of product, engineering, and revenue, with a strong focus on building scalable, product-driven ecosystems.

Key Responsibilities

• Build and scale ElevenLabs' product partnership ecosystem across enterprise platforms (CRM, CcaaS, etc) and creative tools (music, DAWs, creator platforms), embedding our voice AI directly into partner workflows to drive distribution, usage, and revenue
• Drive product-led integrations (SDKs) that embed ElevenLabs into partner platforms
• Own revenue outcomes: partner-sourced pipeline, co-sell, and consumption growth
• Build partnerships across enterprise (CRM, CCaaS) and creative ecosystems (DAWs, music)
• Define and execute repeatable GTM motions with partners (not one-off deals)

Ecosystem Coverage

• Enterprise Platforms: CRM, Telephony, Contact Center, Support, Workflow tools
• Creative Platforms: DAWs, music production
• Developer Platforms: APIs, marketplaces, SDK-driven ecosystems

What You Will Do

• Build and scale product partnerships that embed ElevenLabs natively into enterprise and creative platforms, driving distribution, usage, and revenue
• Drive product-led integrations by working closely with Product and Engineering to define APIs, SDKs, and native experiences within partner platforms
• Own joint GTM and revenue outcomes, including partner-sourced pipeline, co-sell motions, and product-driven consumption growth
• Develop ecosystem strategies across both enterprise and creative platforms, including CRM, contact center, and emerging creative ecosystems such as music and DAWs
• Identify and build strategic partnerships in the creative space (e.g., music platforms, DAWs) that unlock new distribution channels and use cases for ElevenLabs
• Design repeatable solutions and integrations that can scale across customers and partners, not just one-off deals
• Enable partner and internal sales teams with clear solution narratives, use cases, and deployment architectures tied to real business outcomes
• Drive developer and platform adoption, including marketplace listings, SDK adoption, and integration patterns that increase usage at scale
• Act as the voice of the ecosystem to Product, influencing roadmap based on partner and market needs

What You Bring

• 8+ years of experience in technology partnerships, platform partnerships, or ecosystem roles within SaaS, cloud, Payments, AI, or developer-platform companies
• Proven ability to translate technical integrations into commercial outcomes, including partner-sourced pipeline, co-sell revenue, or marketplace distribution
• Strong understanding of API-driven products, integrations, and developer ecosystems, with the ability to work effectively with engineering and product teams
• Experience building joint GTM strategies with enterprise technology partners, including co-selling, partner enablement, and integrated solution development
• Experience building product-led partnerships, including integrations, APIs/SDKs, or embedding capabilities into third-party platforms
• Experience working with or strong interest in creative ecosystems (DAWs) is a strong plus
• Demonstrated success operating cross-functionally across Sales, Marketing, Product, and Engineering to operationalize complex partnerships
• Strong commercial instincts and experience owning or influencing revenue targets tied to partnerships
• Ability to operate with high autonomy and ownership in fast-growing environments, balancing strategic thinking with hands-on execution
• Passion for AI technologies and the role of AI agents in transforming enterprise workflows and customer engagement

Who Thrives at ElevenLabs

• Builder mindset with strong ownership
• Passion for AI and emerging technologies
• Comfort operating in fast-moving environments
• Desire to build new ecosystems from scratch

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As the PM for Customer Developer Experience + Customer Data Integrations, you will own the end-to-end integration journey for Constructor's customers and SIs , from first setup through long-term adoption. Your north star is time-to-value: making it fast, correct, and reliable for any team to integrate with Constructor and start getting results.

Day-to-day, you will:

• Define and drive a roadmap that measurably reduces integration time, defects, and escalations.
• Improve integration correctness for key tracking flows (search → PDP → conversion, sponsored click tracking, etc.) by reducing common failure modes and adding robust validation and diagnostics.
• Build and evolve validation and debugging tooling that empowers customers, Solutions Engineers, and Customer Success to self-serve faster.
• Define clear support and capability boundaries to reduce high-visibility escalations and improve customer predictability.
• Partner with Engineering, Solutions/CS, and other Product teams to sequence work, de-risk launches, and ensure new capabilities ship integration-ready.

Requirements

• 3+ years of product management experience shipping developer-facing or integration-heavy products , such as SDKs, APIs, web tracking/instrumentation, data pipelines, or developer tooling.
• Demonstrated ability to reduce time-to-value or integration complexity in a B2B SaaS environment , with concrete, measurable outcomes.
• Technical fluency sufficient to reason credibly about event flows, browser/web constraints, attribution, versioning, breaking changes, and rollout risk , without needing to be an engineer.
• Track record of strong cross-functional collaboration: aligning Engineering, Customer Success, Solutions, and other Product teams on priorities and support boundaries.
• Comfort defining metrics and making decisions with imperfect data; experience building and reporting product health dashboards.
• Strong written communication , clear specs, integration guides, capability docs, and stakeholder updates.

Benefits

• Unlimited vacation time
• Competitive compensation package including stock options
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Company sponsored US health coverage (100% paid for employee)

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You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. This includes designing, building, and owning the billing platform and monetization systems that power Computer and every paid experience across Perplexity.

Key responsibilities include:

• Leading features end-to-end, from problem definition through technical design, implementation, and launch
• Building and operating the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans
• Hill-climbing on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do
• Partnering closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally
• Building internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly

Requirements include:

• 4+ years of professional software engineering experience
• Direct experience building or scaling billing, payments, subscription, or monetization systems
• Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks
• Strong backend engineering skills in Python with the ability to reason about complex distributed systems
• Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work
• Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions
• Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission
• Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders
• Genuine interest and adoption of AI products and willingness to learn quickly

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Responsibilities:

• Exposure to programming languages such as Python, JavaScript, bash, PowerShell, and C#
• Familiarity with version control systems such as Git
• Collaborate with implementation partners to design, build, and deploy complex integrations
• Assist with proof of concepts for strategic and enterprise customers
• Work side-by-side with customers to establish partnerships and strategic relationships
• Analyze and audit existing Helpshift implementations for the purpose of making improvements
• Become an expert at using Helpshift's administrative tools
• Work collaboratively with Customer Success Managers, other Services teams, and Sales to ensure customers' overall success with the product

Requirements:

• Exposure to any of the following programming languages: Python, Go, C#, Node.js, PowerShell
• Familiarity with technical SaaS concepts such as SDKs, APIs, and cloud computing
• Exceptional organizational skills
• Understanding of Object-Oriented Programming concepts
• Excellent communication skills
• Proficiency in the entire G-Suite and ability to perform data analysis tasks
• Curiosity about complex systems and a natural problem-solving ability

Benefits:

Helpshift embraces diversity and is an equal opportunity workplace.

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You will have expert knowledge of either Rust or C++ and experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems. You will also have knowledge of service observability and reliability best practices, as well as experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB.

Preferred skills and experience include experience with LLM inference engines and serving frameworks, agent SDKs and agent orchestration frameworks, Docker, Kubernetes, and containerized applications, and expert knowledge of gRPC.

In addition to a competitive base salary of $180,000 - $440,000 USD, you will receive equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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You will lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization. You will own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.

You will conduct technical enablement and configuration sessions across our broad product portfolio. You will identify and validate use cases by embedding with customer teams to understand workflows and pain points.

You will lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning. You will build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.

You will translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs. You will partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.

You will guide value realization and measure impact through baselines, KPI definition, and post deployment reporting. You will facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.

You will help drive expansions by identifying high leverage opportunities where OpenAI's platform can power new workflows or lines of business. You will serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

As an AI Success Engineer, you will thrive in this role if you have 8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.

You will have deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and be able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

You will be able to translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies. You will be comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.

You will have excellent project and program management instincts and be able to lead multi workstream initiatives with clarity and structure. You will enjoy being a thought partner for C level stakeholders while also diving deep with technical teams.

You will operate with high ownership and be able to manage fast decision making, context switching, and dynamic customer needs. You will have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

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OpenAI's AI Success Engineer team partners with the world's most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI's most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI's platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation.
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.
• Conduct technical enablement and configuration sessions across our broad product portfolio.
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.
• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.
• Partner with Solutions Architecture, Product, Engineering, and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.
• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting.
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.
• Help drive expansions by identifying high-leverage opportunities where OpenAI's platform can power new workflows or lines of business.
• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You'll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.
• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.
• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.
• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure.
• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams.
• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs.
• Have a strong record of driving technical deployments with hands-on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

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Salary Range: $150,000–$200,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)

Equity Range: Up to 0.1%

Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)

Job Type: Full-Time

Experience: 3+ years in developer relations, technical content, or software engineering with a content track record

Visa: US Citizenship/Visa required for SF; open for Remote

About Firecrawl

Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just over a year, we've hit 8 figures in ARR and 100k+ GitHub stars by building the fastest way for developers to get clean, structured web data.

We're a small, fast-moving, technical team building essential infrastructure for the AI era. We ship fast and deep.

What You'll Do

• Own Firecrawl's technical documentation , rewriting, restructuring, and maintaining docs so both humans and AI agents can discover and use the product effectively

• Run and grow our YouTube channel , scripting, filming, editing, and publishing a consistent cadence of tutorials, walkthroughs, and demos developers actually finish watching

• Build a presence in the AI engineering and open source community , on social, at conferences, in Discord servers, in the places developers actually hang out

• Translate developer feedback into product insights and route them clearly to engineering

• Create content that drives adoption , not just views , by meeting developers where they are in the build process

• Show up on camera and on stage: conference talks, livestreams, Twitter Spaces, wherever our developers are

What We're Looking For

An engineer who can teach. You have a software engineering background and have built with APIs, SDKs, or developer tools. You know what it feels like to hit a wall in someone else's docs , and you know how to fix it.

A YouTube operator. You've owned a technical YouTube channel before , not just appeared in videos. You know the full workflow: scripting for retention, filming efficiently, editing for technical audiences, and building a publishing cadence that doesn't collapse under pressure.

Fluent in the AI/ML developer ecosystem. Agents, LLM tooling, orchestration frameworks, RAG pipelines , you speak this language and you've built in it. You understand where Firecrawl fits and why developers reach for it.

Thinks about docs as infrastructure. You understand that in an agent-first world, documentation needs to be structured for machines as much as humans. You have opinions about how to do that.

Community-connected. You have real relationships in the AI engineering or open source world , not just followers. You can open doors for Firecrawl that cold outreach can't.

Backgrounds that often do well: DevRel at an API-first or developer tools company, software engineer who started a technical YouTube channel, open source contributor with a content track record.

What We're NOT Looking For

• Content marketers who have never shipped code

• People who measure DevRel success in video views over developer adoption

• Anyone waiting for a content calendar to be handed to them before they start creating

A Note On Pace

We're a small team doing a lot. Roles here are loosely defined on purpose , you'll own things that don't have a clear owner yet, and that's a feature, not a bug. If you need your scope fully defined before you can move, this probably isn't the right fit. If you want to build something that matters inside one of the fastest-growing AI infrastructure companies in the world, let's talk.

Benefits & Perks

Available to all employees

Salary that makes sense , $150,000–$200,000/year (SF, U.S.-based), based on impact, not tenure

Own a piece , Up to 0.1% equity in what you're helping build

Generous PTO , 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge

Parental leave , 12 weeks fully paid, for moms and dads

Wellness stipend , $100/month for the gym, therapy, massages, or whatever keeps you human

Learning & Development , Expense up to $1,000/year toward anything that helps you grow professionally

Team offsites , A change of scenery, minus the trust falls

Sabbatical , 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

Full coverage, no red tape , Medical, dental, and vision (100% for employees, 50% for spouse/kids) , no weird loopholes, just care that works

Life & Disability insurance , Employer-paid short-term disability, long-term disability, and life insurance , coverage for life's curveballs

Supplemental options , Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind

Doctegrity telehealth , Talk to a doctor from your couch

401(k) plan , Retirement might be a ways off, but future-you will thank you

Pre-tax benefits , Access to FSAs and commuter benefits (US-only) to help your wallet out a bit

Pet insurance , Because fur babies are family too

Available to SF-based employees

SF HQ perks , Snacks, drinks, team lunches, intense ping pong, and peak startup energy

E-Bike transportation , A loaner electric bike to get you around the city, on us

Interview Process

Application Review , Send us your work: a YouTube channel you've grown, docs you've owned, or technical content you've created. A quick note on what you'd fix about Firecrawl's docs or content today.

Intro Chat (~20 min) , Quick alignment call. We'll talk about what you've built, how you think about developer education, and what you'd tackle first.

Deep Dive Chat (~45 min) , Walk us through a real example: a piece of content or docs work that measurably grew developer adoption. Then a live scenario , how would you approach rewriting Firecrawl's docs for an agent-first world?

Founder Chat (~30 min) , Culture, pace, ownership, and how you like to work. Time for your questions too.

Paid Work Trial (1–2 weeks) , Build something real: a tutorial, a doc rewrite, or a short-form video. We evaluate on technical accuracy, clarity, and whether a developer would actually use it.

Decision , We move fast after the trial.

If you want to be the voice developers learn Firecrawl from , and you have the engineering chops and content track record to back it up , this is your shot.

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$120K – $220K • 0.01% – 0.1%

Senior Product Growth Engineer

Firecrawl's Product Growth team runs like an engineering org. Every initiative we take on (activation flows, conversion landing pages, in-product surfaces, internal tooling) is shipped as real software by the people on this team. The backlog is long and most of it is bottlenecked on engineering capacity, not ideas.

We need a senior full-stack engineer who can take on growth projects end-to-end: scope the work, build the frontend and backend, ship it to production, and iterate. Someone who can work across the stack at speed and own ambitious projects without needing a PM to break them down. This is a high-output IC role. You'll work directly with the Head of Product Growth on priorities, build alongside the team's data and growth engineers, and have direct access to core engineering for anything that needs coordination.

Scope note: top-of-funnel work (brand, SEO content, broad marketing site) lives with the Marketing team. Your work lives closer to conversion: the pages, flows, and in-product surfaces where interested users turn into active, paying customers.

Salary Range:

120,000 to 200,000/year OTE (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living. You can explore how we calculate this here: https://www.firecrawl.dev/careers/compensation)

Equity Range:

0.01 to 0.10%

Job Type:

Full-Time (SF) or Contract (Remote)

Experience:

5+ years

Visa:

US Citizenship/Visa required for SF; N/A for Remote

About Firecrawl

Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just a year, we've hit 8 figures in ARR and 90k+ GitHub stars by building the fastest way for developers to get LLM-ready data.

We're a small, fast-moving, technical team building essential infrastructure super-intelligence will use to gather data on the web. We ship fast and deep.

What You'll Do

• Own growth projects end-to-end: Scope the work, write the frontend and backend, ship to production, and iterate based on what the data says. Move in days and weeks, not quarters.

• Build in-product growth features: Ship the onboarding, activation, retention, and expansion surfaces that turn signups into paying customers: usage dashboards, contextual upgrade prompts, feature discovery, guidance states.

• Improve the playground: Our highest-leverage conversion surface. Make it faster, smarter, and easier for a developer to go from "trying it" to "using it."

• Ship conversion landing pages: Own the pages closest to conversion: partner integrations, competitive comparisons, use cases, campaign pages. Full stack: component, copy scaffolding, data layer, and the API endpoints behind anything interactive.

• Build internal tooling: Ship the UIs the Product Growth team uses to operate: customer dashboards, outreach interfaces, manifest views, triage tools. Turn repeatable manual work into software.

• Run experiments and measure: Instrument what you build. Run real A/B tests. Know whether the thing worked before shipping the next thing.

• Improve developer experience where it touches growth: SDK ergonomics, sample code, starter templates, first-run experiences. The surfaces where activation lives or dies.

What We're Looking For

Strong full-stack engineer. You ship production code across React, TypeScript, Next.js, and Node. You're comfortable in Python and SQL too. You've owned real features end-to-end, not just frontends or just APIs.

Product-minded with taste. You can look at a flow or a page and tell what's broken before the data does. You care about the details, and you can shape what you're building without needing a spec handed to you.

Growth-oriented. You think in funnels, activation curves, and conversion rates. You want to know how your work moved the number, not just whether it shipped. You instrument everything.

AI-native. You already use AI tools daily as core work infrastructure. You've pushed Claude, Copilot, or similar tools far enough to know where they help and where they don't. You use them to ship more, faster.

Fast and scrappy. You ship working versions, not perfect plans. You know when a one-off script is better than a framework and when a quick fix is better than an abstraction. You'd rather ship four experiments this week than one polished feature next month.

Clear communicator. You can explain what you built and why to non-technical teammates. You write good PR descriptions and document what's worth documenting.

Bonus Points

• You've shipped in-product growth features at a developer-tools or SaaS company: onboarding, activation, upgrade surfaces, in-product guidance.

• You've built conversion landing pages that measurably moved signup or activation, not just static pages that shipped.

• You've built internal tools that the team you worked with actually used every day.

• You've run real A/B tests and can talk about what you learned, not just what you shipped.

• Experience with our stack: Next.js, React, Tailwind, TypeScript, Vercel, PostgreSQL, Anthropic Claude API.

• You've built with LLMs in production: prompt engineering, tool use, inference pipelines.

• You've worked on developer-facing products: SDKs, playgrounds, docs surfaces, APIs.

• You know what "scaling chaos" feels like at a company doing 5M-50M ARR.

What it Means to Join Firecrawl

• Ship the Growth Number: The surfaces you build are how Firecrawl activates, expands, and retains customers. Every feature is a lever, and the impact is visible.

• High Leverage: One well-built flow can move activation by double-digit percentages. Your work is measurable and shipped to every user.

• Autonomy: Own your work. We care about outcomes, not hours. Ship what matters, skip what doesn't.

• Growth Path: Start as the senior IC. As the team grows, you'll have the option to lead engineers or go deeper technically.

• Remote-First Culture: Collaborate from anywhere, or work out of our SF HQ.

Benefits & Perks

Available to all employees

• Generous PTO: 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge

• Parental leave: 12 weeks fully paid, for moms and dads

• Wellness stipend: 100/month for the gym, therapy, massages, or whatever keeps you human

• Learning & Development: Expense up to 150/year toward anything that helps you grow professionally

• Team offsites: A change of scenery, minus the trust falls

• Sabbatical: 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

• Full coverage, no red tape: Medical, dental, and vision (100% for employees, 50% for spouse/kids), no weird loopholes, just care that works

• Life & Disability insurance: Employer-paid short-term disability, long-term disability, and life insurance

• Supplemental options: Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind

• Doctegrity telehealth: Talk to a doctor from your couch

• 401(k) plan: Retirement might be a ways off, but future-you will thank you

• Pre-tax benefits: Access to FSAs and commuter benefits (US-only) to help your wallet out a bit

• Pet insurance: Because fur babies are family too

Available to SF-based employees

• SF HQ perks: Snacks, drinks, team lunches

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Key responsibilities include owning and evolving our public REST API, building and maintaining client SDKs, shipping our Agent SDK, and treating documentation as a product. The successful candidate will collaborate with our DevRel, Product, and Platform teams to identify gaps in the developer ecosystem and run with them end to end.

We offer a competitive salary range of $215,000 to $285,000 plus benefits & equity, and a chance to work with a leading AI routing and infrastructure layer.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Job Overview

We are looking for an Engineering Manager to lead the FGA Developer Tooling team in India.

This team owns the end-to-end developer experience for FGA across OSS and SaaS, including SDKs in Go, JavaScript, .NET, Python, Java and other languages, the SDK generator that powers them, CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions.

Our guiding principle is One developer experience, many deployment models.

As an Engineering Manager, you will build and grow a high-performing team, drive execution across the developer tooling roadmap, and ensure we deliver a consistent and high-quality developer experience to both OSS and SaaS users.

Responsibilities

• Lead and grow a team of engineers responsible for FGA SDKs, the SDK generator, CLI workflows, IDE integrations, and developer automation.

• Drive execution of the Developer Tooling roadmap in partnership with Product and FGA Core, ensuring alignment across OSS and SaaS surfaces and delivering meaningful improvements to developers on a frequent and predictable cadence.

• Oversee the evolution of the SDK generator and template framework to maintain cross-language consistency, configurability, and long-term maintainability.

• Ensure consistent and high-quality implementation of SDK features including authentication flows, error handling, retry logic, rate limiting, and advanced capabilities such as BatchCheck and ListRelations.

• Establish and maintain strong engineering standards for testing, CI workflows, dependency management, release processes, and developer documentation.

• Foster a strong open-source culture by ensuring community pull requests are reviewed promptly and contributors are supported in reaching a mergeable state.

• Partner closely with FGA Core on API design and semantics to ensure a clean and developer-friendly experience across all tooling.

• Support career growth and development through regular 1:1s, coaching, feedback, and performance management.

• Recruit and hire strong engineers to build and scale the Developer Tooling team in India.

• Maintain a team culture of ownership, transparency, rigor, and psychological safety in a distributed environment.

You might be a good fit if you

• Have experience managing software engineering teams delivering SDKs, platforms, or developer tooling.

• Have a strong technical background and are comfortable going deep into architecture and design discussions across multiple languages.

• Have experience working in or contributing to open-source projects.

• Have experience managing geographically distributed teams.

• Are skilled at coaching engineers across different career stages.

• Are comfortable operating with ambiguity and helping create clarity across teams.

• Thrive in collaborative environments that require strong cross-functional alignment.

• Are a strong communicator who can work effectively with technical and non-technical stakeholders.

What you will bring to the role

• 7+ years of software engineering experience with prior experience as an Engineering Manager or Technical Lead.

• Strong understanding of SDK design, API ergonomics, authentication flows, and resilient distributed systems.

• Experience with CI/CD systems such as GitHub Actions and modern build workflows.

• Familiarity with code generation frameworks such as OpenAPI Generator and templating systems.

• Experience working in open-source development models and PR-based workflows.

• Passion for authorization, identity, and developer experience

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work.

Are you an experienced and driven product manager who’s passionate about securing the world’s largest organisations through a modern, cloud-first approach? Join Okta as we expand Okta’s Privileged Access Management (OPA) product,built for scale, simplicity, and seamless integration with the Okta platform. You’ll play a central role in shaping a product that protects critical infrastructure and privileged resources across cloud and hybrid environments. This is a high-impact, hands-on opportunity to collaborate cross-functionally, define strategy, and deliver a differentiated Privileged Access Management (PAM) solution at scale.

Responsibilities

• Customer & Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders including the go-to-market team to distill feature asks, gather feedback, validate use cases, and ensure product-market fit.

• Product Scope: Define and own the product strategy and roadmap for PAM capabilities across a range of systems (cloud platforms, databases, DevOps tools, and legacy infrastructure).

• Roadmap Ownership: Identify, prioritise, and drive development of new features and integrations based on market needs, customer input, and technical feasibility. Define and communicate clear product requirements, including features, user experience and functional specifications, to engineering teams.

• Technical Collaboration: Work closely with engineering and architecture teams to define connector protocols, APIs, and deployment models that align with cloud-native principles while balancing an intuitive user experience.

• Delivery & Execution: Drive cross-functional execution with design, engineering, QA, support, and documentation teams to deliver high-quality features on time.

• Market Awareness: Track industry trends and emerging technologies in order to think strategically for developing solutions that are differentiated from the competition in the Privileged Access Management space.

• Data-Driven Insights: Leverage product data to continually improve existing functionality and work across the business to drive adoption and success.

• Subject Matter Expertise: Be the subject matter expert for your product area, enabling your counterparts in marketing and technical sales with the knowledge and tools needed to effectively position Okta Privileged Access.

Required

• 5+ years of technical product management experience in enterprise-scale SaaS products, or an equivalent background demonstrating core product management competencies

• Knowledge of Privileged Access Management (PAM) protocols and concepts, including credential vaulting, session recording, just-in-time access, and/or privileged elevation

• Proven track record of delivering features or products that drive meaningful business outcomes

• Analytical and decisive with the ability to drive action even with incomplete or ambiguous information

• Excellent communication skills and ability to work cross-functionally with research, design, engineering, sales, and customer success teams

• A passion for Okta’s mission, coupled with curiosity and a drive to understand both business strategy and technical detail

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience

Preferred

• Domain knowledge or implementation experience with products related to privileged access management

• Hands-on technical background and prior experience in engaging deeply with technical customers and engineering

• Prior experience with building connector SDKs, APIs, or technical integrations

• Familiarity with zero trust, infrastructure-as-code, or cloud security tooling

• Advanced degree in a technical or business field

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Reporting to the Manager of Technical Documentation, you will work closely with a global network of engineers, product managers, and developer success professionals to understand real-world use cases for identity and access management. You will create practical technical content that guides Okta's community of developers to adopt and deploy our solutions successfully.

If you have a passion for learning new technologies and want to help us drive the adoption and ubiquity of our products and platform, this is the place for you!

Key Responsibilities:

• Design, develop, edit, and deliver accurate and effective developer documentation for Okta products.
• Work closely with Engineering, Product Management, QA, Support, and members of the Information Development team to ensure quality and accuracy of content.
• Follow our documentation guidelines to produce high quality documentation.
• Prioritize projects when working with multiple engineering teams.
• Collaborate with developers to review API documentation.
• Analyze customer feedback before and after delivering documentation to enhance content depth, quality, and relevance.

Requirements:

• Minimum 4 years relevant experience writing documentation for Cloud or Enterprise products.
• Bachelor’s degree or certificate in Technical Writing is preferred.
• Self-starter who thrives in a fast-paced environment.
• Excellent written and verbal communication skills.
• Experience writing SDK, CLI, or developer tools documentation.
• Experience writing developer documentation and release notes.
• Experience with Markdown, Visual Studio Code, Acrolinx, and source control tools such as Git and GitHub.
• Familiarity working with Jira and Confluence.
• Collaboration skills with other writers.

And extra credit if you have experience in any of the following!

• Strong ability to understand the application of security products in the real world and produce use case-based content.
• Knowledge of Okta or similar identity and access management solutions.
• Experience with DITA, OpenAPI, and Redocly.
• Experience working in an Agile environment.

What you can look forward to as a Full-Time Okta employee!

• Amazing Benefits
• Making Social Impact
• Developing Talent and Fostering Connection + Community at Okta

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Your main responsibilities will be to build and evolve Android SDKs that enable engineers and data scientists to analyze user behavior at scale. You will contribute to a high-performing, autonomous team of engineers, designers, and product managers, developing scalable, testable, and maintainable code used across multiple teams and projects.

You will also help define and improve Android engineering practices across Spotify, collaborate closely with platform and data teams to deliver impactful solutions, drive innovation and continuously improve developer productivity and experience, and support the broader Android community at Spotify and influence technical direction.

We are looking for someone with experience in building Android applications and SDKs at scale, a deep understanding of modern Android development and tooling, and the ability to write readable, maintainable, and performant code in Kotlin. You should also have some working experience with C++ and be comfortable supporting iOS if the need arises.

If you care about quality, testing practices, and performance, and are comfortable working in a collaborative, cross-functional environment, this could be the perfect opportunity for you.

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We're seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You'll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You'll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft's most transformative products.

As a Principal Software Engineer, you will:

• Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
• Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
• Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.
• Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement.
• Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios.
• Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
• Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers.

Qualifications:

• 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.
• 8+ years in technical engineering roles building large-scale services.
• 6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
• Proven ability to design, build, and ship agentic AI features or frameworks.
• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
• Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
• Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
• Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).
• Track record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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Key responsibilities include:

• Comprehensive discovery: understanding the requirements of customers' and prospects in the context of their desired business outcomes.
• Deal progression: working in close partnership with the sales team to progress opportunities.
• Manage technical sales progression from discovery to technical win.
• Building sales presentations, product demonstrations, and educating customers on the best ways to cloud security technology.
• Having a hands-on approach to solution validation, such as building and delivering custom demonstrations, supporting customer-led PoCs, etc.

To be successful in this role, you will need to have a strong development background with proficiency in at least one backend stack (e.g., Java, C#, Node.js, Python, PHP, Ruby) and a popular frontend stack (e.g., React, Angular, Vue).

You will also need to have experience working with REST APIs and SDKs, as well as an understanding of core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).

Excellent communication skills and an ability to articulate business value are essential for this role.

The role is based around the London office and the expectation will be that you will spend 2-3 days a week either meeting with prospective customers, existing customers, or collaborating with the team in the office.

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About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role is ideal for engineers who are passionate about applying technical skills to solve security challenges and build systems that balance innovation with trust.

Why This Role Matters Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products.

Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview) Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals

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About the Role Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams.

Responsibilities Identity strategy & architecture: Define the end-to-end identity vision for consumer Copilot and MAI, covering user/account models, sign-in, session management, token issuance/validation, service-to-service auth, and cross-device experiences. Cross-surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities. Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security. Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives. Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI. Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale. Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services. Hands-on engineering: Ship secure, well-tested, maintainable code and frameworks that other teams can adopt quickly. Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot. Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones. Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience integrating with Microsoft Account, and familiarity with consumer identity features. Cross-platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web). Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls. Privacy/Compliance: Experience embedding privacy-by-design and meeting consumer compliance expectations for Copilot-class workloads. Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence,ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.

As a Senior AI Systems Engineer, you will own the software integration layer between our custom AI chip's proprietary SDK and SGLang, a state-of-the-art serving framework for Large Language Models (LLMs) and Vision-Language Models. You will be responsible for ensuring that our silicon can seamlessly run SGLang inference workloads at peak performance, bypassing the traditional CUDA ecosystem entirely.

Responsibilities:

• Framework Integration: Architect and develop the backend integration to make our custom AI chip a first-class citizen in SGLang.
• Custom Operator Development: Write custom C++ / PyTorch extensions that map SGLang's primitive operations (e.g., RadixAttention, FlashAttention, matrix multiplications) to our custom chip's proprietary software layer.
• Performance Optimization: Profile and optimize end-to-end LLM inference latency, throughput, and memory utilization (Paged Attention) on our hardware.
• Cross-Functional Collaboration: Work closely with our hardware architecture and compiler teams to provide feedback on our custom software stack and silicon design based on framework-level bottlenecks.
• Testing & Deployment: Build robust testing pipelines to validate model accuracy and performance parity against standard GPU baselines.

Qualifications:

• Must-Have Qualifications: BS, MS, or PhD in Computer Science, Computer Engineering, or a related field. Software engineering experience focusing on systems programming, ML infrastructure, or AI compilers. Expertise in Python: Deep understanding of memory management, concurrent programming. Experience with LLM Inference Engines: Hands-on experience modifying or extending frameworks like SGLang, vLLM, DeepSpeed-FastGen, or TensorRT-LLM. PyTorch Internals: Strong experience writing PyTorch C++ extensions and custom operators. Hardware Interfacing: Proven track record of integrating machine learning workloads with hardware accelerators (GPUs, TPUs, NPUs) using custom SDKs, APIs, or low-level drivers.

• Nice-to-Have Qualifications: Prior experience working on non-CUDA software ecosystems (e.g., AMD ROCm, AWS Neuron, Google XLA). Familiarity with AI compilers and intermediate representations (MLIR, Apache TVM, OpenAI Triton). Strong understanding of underlying LLM architectures (Transformers, MoE) and state-of-the-art attention algorithms (FlashAttention v2/v3). Previous experience at an AI silicon startup or working on custom accelerators (e.g., Google TPU, AWS Trainium).

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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About the Role Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity,keeping Copilot moving fast while raising the security and reliability bar.

Why This Role Matters Your work will secure AI experiences for hundreds of millions of users worldwide, shaping how people trust and interact with Microsoft’s most transformative products. If you thrive on solving hard technical problems at scale, influencing architecture across platforms, and building systems that balance speed and trust, this is your opportunity to make a global impact.

Responsibilities Identity strategy & architecture: Define the end-to-end identity vision for consumer Copilot and MAI, covering user/account models, sign-in, session management, token issuance/validation, service-to-service auth, and cross-device experiences. Cross-surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities. Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security. Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives. Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI. Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale. Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services. Hands-on engineering: Ship secure, well-tested, maintainable code and frameworks that other teams can adopt quickly. Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot. Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones. Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience integrating with Microsoft Account, and familiarity with consumer identity features. Cross-platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web). Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls. Privacy/Compliance: Experience embedding privacy-by-design and meeting consumer compliance expectations for Copilot-class workloads. Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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We’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft’s most transformative products.

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.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.

Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement.

Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios.

Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers.

Qualifications:

Required Qualifications:

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.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

8+ years in technical engineering roles building large-scale services.

6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.

Proven ability to design, build, and ship agentic AI features or frameworks.

Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.

Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.

Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Track record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks. Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns. Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments. Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming. Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview). Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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About the Role Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity,keeping Copilot moving fast while raising the security and reliability bar.

Why This Role Matters Your work will secure AI experiences for hundreds of millions of users worldwide, shaping how people trust and interact with Microsoft’s most transformative products. If you thrive on solving hard technical problems at scale, influencing architecture across platforms, and building systems that balance speed and trust, this is your opportunity to make a global impact.

Responsibilities Identity strategy & architecture: Define the end-to-end identity vision for consumer Copilot and MAI, covering user/account models, sign-in, session management, token issuance/validation, service-to-service auth, and cross-device experiences. Cross-surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities. Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security. Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives. Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI. Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale. Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services. Hands-on engineering: Ship secure, well-tested, maintainable code and frameworks that other teams can adopt quickly. Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot. Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones. Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience integrating with Microsoft Account, and familiarity with consumer identity features. Cross-platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web). Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls. Privacy/Compliance: Experience embedding privacy-by-design and meeting consumer compliance expectations for Copilot-class workloads. Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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We’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft’s most transformative products.

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.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

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Our goal is to create fast, secure, and developer-friendly SDKs that help partners monetize their products at scale. We tackle tough technical challenges to ensure our solutions run smoothly across different environments, all while pushing the boundaries of ad-serving technology.

As a member of our team, you will be part of a collaborative and dynamic environment where you will have the opportunity to work on a wide range of projects and technologies. You will be expected to contribute to the design, development, and testing of our SDKs, as well as provide technical guidance and support to our partners and internal teams.

If you are a motivated and experienced software engineer with a passion for building scalable and efficient software systems, we encourage you to apply for this exciting opportunity.

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This role emphasizes strong engineering fundamentals, customer empathy, and ownership of end-to-end feature delivery in a fast-moving consumer environment. 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.

Responsibilities:

• Design, build, and ship features for a consumer Windows application with a strong focus on usability, performance, reliability, and accessibility.
• Develop high-quality, maintainable, and well-tested code using modern Windows frameworks and tooling.
• Collaborate with Product, Design, and Data partners to translate customer needs into technical solutions.
• Participate in architecture and design reviews, contributing to decisions around scalability, responsiveness, and long-term maintainability.
• Instrument features with telemetry, analyze usage and reliability signals, and iterate based on data and customer feedback.
• Debug and resolve issues across the stack, including live-site and customer-reported problems.
• Contribute to engineering excellence through code reviews, test coverage, CI/CD practices, and operational readiness.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Experience building and shipping production-quality applications or services.
• Solid understanding of data structures, algorithms, and object-oriented design.
• Experience working collaboratively in a team environment with clear communication and ownership.

Preferred Qualifications:

• Experience building Windows applications using WinUI, WPF, UWP, or Windows SDKs.
• Familiarity with performance optimization, memory management, and responsiveness in desktop applications.
• Experience with telemetry, experimentation, and feature flighting in consumer products.
• Exposure to accessibility (a11y) standards and inclusive design principles.
• Experience with CI/CD pipelines, automated testing, and live-site monitoring.

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About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks. Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns. Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments. Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming. Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview). Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC4 The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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In this role, you will have a minimum of 12 years of SAP integration experience, including SAP Integration Suite and middleware platforms. You will have proven experience developing AI-powered applications using SAP BTP services and customized scripts. You will have deep SAP knowledge related to integration processes, ABAP development, and OData services. You will also have hands-on experience with SAP Event Mesh and SAP Cloud Connector, and a strong understanding of Custom CDS Views and their role in integration and analytics. Additionally, you will have experience designing scalable, API-driven architectures, and a strong understanding of API security (OAuth2). You will have an open mindset and adaptability to emerging technologies, including AI and automation, and excellent communication skills and the ability to build strong client relationships.

Nice-to-haves include experience in the automotive industry, knowledge of hybrid cloud integration patterns, familiarity with SAP AI Core, SAP AI Launchpad, and generative AI SDKs, contributions to open-source AI or integration projects, and exposure to other industries (manufacturing, retail, finance).

The role offers a start date by arrangement, with working hours of 40 hours per week, 27 vacation days, and an unlimited employment contract. The line of work is consulting, and language skills required include fluency in written and spoken English. Flexibility and willingness to travel are also essential, as is a valid work permit. Knowledge of AI ethics and governance frameworks is also desirable.

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Key Responsibilities

scorerate scalable and efficient solutions using iOS SDK and Xcode. Develop applications using Swift or Objective-C. Implement intuitive and engaging UI/UX designs. Debug and troubleshoot to resolve any application issues. Optimize code for performance and scalability. Collaborate with cross-functional teams to achieve project goals.

Required Skills and Experience

Proficiency with iOS SDK and Xcode. Experience in Swift or Objective-C programming. Solid understanding of UI/UX design principles. Strong troubleshooting and debugging skills. Experience with code optimization techniques.

Benefits

Competitive salary and substantial benefits package. Opportunities to work on cutting-edge technologies and projects. Flexible work hours, with options for remote work. Continuous professional development and career growth opportunities.

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We're seeking a Staff Collaboration Systems Engineer to join our IT Collaboration and Productivity Engineering team. As a Staff Collaboration Systems Engineer, you will be the technical lead for our Google Workspace environment and a key owner for other collaboration platforms.

Your responsibilities will include owning the Google Workspace platform end-to-end, designing and evolving the collaboration architecture, leading incident response and complex troubleshooting for high-impact Workspace issues, building automation and integrations using scripting and Google Workspace APIs/SDKs, integrating Google Workspace with identity, security, and IT workflows, and using AI as a force multiplier for your work.

You will also lead cross-functional projects such as Workspace migrations, domain consolidations, tool rationalization, and new collaboration patterns, mentor and uplevel other engineers, and represent the team with stakeholders across the company.

Requirements:

• 8+ years of experience in IT systems or collaboration/platform engineering, including significant hands-on ownership of Google Workspace in a medium-to-large environment.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• Deep Google Workspace experience running large or complex environments (ideally multi-domain or multi-org), across Gmail, Calendar, Drive/Shared Drives, Groups, Chat/Spaces, and Meet.
• Strong systems design and troubleshooting skills, including debugging issues that span clients, network, identity, and backend services.
• Solid scripting and automation skills (e.g., Google Apps Script, GAM, Python), and experience using Google Workspace APIs/SDKs to automate lifecycle, configuration, and reporting.
• Experience implementing and operating security, privacy, and compliance controls such as DLP, retention/legal hold, e-discovery, external sharing policies, SPF/DKIM/DMARC, and access reviews.
• Experience integrating Google Workspace with identity (SSO/SCIM), MDM/endpoint tools, logging/observability, and ticketing/ITSM systems.
• Proven use of AI tools to speed up engineering or operations work (e.g., generating code, runbooks, or summaries), with a clear approach to validating outputs, reducing bias, and protecting reliability and security.
• Track record of operating at a staff-level scope: leading large, complex initiatives, shaping cross-team roadmaps, and owning impactful outcomes.
• Ability to lead and mentor other engineers, give clear technical direction, and partner effectively with managers, product owners, and stakeholders.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country, with a preference for candidates based on the West Coast.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-JD3

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.

About the Customer Success Team:

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role:

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics.

For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities:

Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes

Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks

Own the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics

Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration

Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects

Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues

Bridge the technical-business gap with your customers , working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision

Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects

Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations

Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision

The ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency

Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change

Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role

Excellent written, analytical, and communication skills

Strong process and/or project delivery discipline

Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has

Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Familiar with analytics best practices across business segments and verticals

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, or any other protected characteristic.

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Key responsibilities include:

• Identifying high-fit games and developers for Discord's Social SDK, commerce, and analytics offerings
• Owning a territory/book of business of AAA and AA game developers with quarterly goals tied to performance
• Owning the sales/deal process from prospecting, qualification, decision, terms negotiation to deal close
• Understanding developer needs in regard to monetization, user growth, and social mechanics
• Building and managing a healthy, predictable pipeline through outbound prospecting, targeted outreach, and strategic account mapping

Requirements include:

• 10+ years of proven experience in business development, sales, and partnerships
• 7+ years of experience in enterprise SaaS/SDK adoption, analytics/insights sales, or related roles at software or platform companies
• Strong track record of winning new logos and closing complex deals with enterprise customers
• Proven track record sourcing, negotiating, and scaling complex partnerships with measurable impact on revenue, adoption, and monetization
• Deep knowledge and experience in the gaming space, specifically

The On Target Earnings (OTE) range for this full-time position is $280,000 to $315,000 + equity + benefits.

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.

Visit mixpanel.com to learn more.

About The Support Team

Mixpanel Support is a team of talented problem-solvers from diverse backgrounds. We care deeply about helping our customers be successful and enabling them to get value from their data.

We are located all over the world in San Francisco, Barcelona, London, and Singapore...

About The Role

The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use Mixpanel to make impactful product decisions.

We’ve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the Mixpanel journey by providing answers to product questions, sharing best practices, and debugging technical issues.

You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.

Become a Mixpanel product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues

Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls

Investigate and document bugs and feature requests to share with our Product and Engineering teams

Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience

Shape the product by regularly working closely with PM’s, engineers, and designers to incorporate customer learnings into change

We're Looking For Someone Who Has

Experience providing customer facing SAAS support (in customer support, professional services, technical account management or similar)

Ability to communicate technical concepts effectively in a clear, friendly writing style

Excellent problem-solving and analytical skills

Programming experience, understanding of web & mobile technologies, and interacting with APIs

Experience with debugging and collaborating with engineering to resolve complex technical issues, especially with JavaScript, Python, or mobile technologies

Ability to be resourceful and resilient when faced with ambiguity and new challenges

Dedication to developing expertise in a complex and constantly evolving product

Interest and aptitude to develop technical skills and learn new technologies

Experience providing SLA based support and/or dedicated support to strategic customers

Speak Hebrew and fluent English

Bonus Points

Experience with Mixpanel or other analytics tools

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.

We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

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Key Responsibilities:

• Build and lead multiple teams focused on commerce platform development and the in-Discord player experience by hiring, coaching, and instilling a sense of ownership and impact
• Define and drive our commerce platform strategy from the ground up, including organizing existing team members and building out new capabilities to support game developers in managing shop queues and enabling purchases through Discord
• Partner closely with major publishers and large game developers to drive adoption of our platform, understanding the entire customer lifecycle journey and building tools that create value for developers, Discord, and players
• Collaborate with Product leadership to provide vision and culture for your teams while working with leads and executive partners across the company
• Use your technical expertise to build high-performance engineering teams capable of supporting a commerce platform at scale
• Work with other Engineering leaders to continuously improve the Engineering organization and uphold our workplace philosophy

Requirements:

• 5+ years of experience as a Software Engineer with a strong technical foundation
• 5+ years of experience as an Engineering Manager and have successfully managed groups of 3+ Engineering Managers and 15+ Software Engineers
• 2+ years of experience managing other Managers
• Experience hiring and growing senior leaders and managers
• Enjoy coming up with pragmatic solutions to concrete problems using first principles thinking
• Passionate about coaching and leading other engineers, but remain technically hands-on enough to engage in architecture discussions and lead conversations with technical directors at game companies
• Understand the mindset of developers and have experience building products or platforms for developer audiences

Bonus Points:

• Experience in the gaming industry (AAA publishers, platform providers, or game studios)
• Experience building commerce platforms, microtransaction systems, or web shops at scale
• Background building out revenue-generating infrastructure that supports high-volume transactions
• SDK design or platform API experience
• Experience defining and building new teams and strategies from scratch

The US base salary range for this full-time position is $400,000 to $450,000 + equity + benefits.

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Our team is fast-paced and agile, comprising engineers, a product manager, and designer. We work closely together to deliver innovative solutions that meet the needs of our customers.

Responsibilities:

• Design and develop high-quality iOS applications using Swift and Objective-C
• Collaborate with the product manager and designer to define and prioritize features
• Work with the engineering team to ensure seamless integration with other components
• Participate in code reviews and contribute to the improvement of our codebase
• Mentor junior engineers and help them grow in their careers

Requirements:

• 8+ years of professional iOS development experience
• Excellent communication and collaboration skills
• Experience building public or internal mobile APIs/SDKs and working with Swift and Objective-C
• Experience with UIKit, SwiftUI, programmatic Auto Layout, and iOS design patterns (MVVM, reactive programming)
• Experience with Unit/UI/integration/performance testing on iOS (Quick, Nimble, XCTest, XCUITest, etc.)
• Experience with Realm database or similar mobile NoSQL solutions
• End-to-end ownership of mobile applications or SDKs
• Experience with mobile CI/CD pipelines (GitHub Actions)

Preferred Qualifications:

• 1+ years of experience in identity and access management (IAM) domain, particularly with Auth0 Guardian SDK or similar MFA/authentication solutions
• Experience with iOS security best practices, including cryptography (RSA, CommonCrypto), biometric authentication (Face ID/Touch ID), iOS Keychain, Authentication Service framework, and secure data storage
• Experience with reactive programming frameworks (ReactiveSwift, Combine) and migrating legacy architectures to MVVM patterns
• Experience with infrastructure-as-code tools (e.g., Fastlane, Swift Package Manager, Snyk, or Terraform)

If you are a motivated and experienced iOS engineer looking to join a dynamic team, we encourage you to apply.

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Key Responsibilities:

• Build AI-Native Tooling: Move beyond traditional automation by implementing AI-driven agents that optimize our CI/CD pipelines and provide intelligent feedback to developers.
• Enhance Developer Velocity: Identify and resolve systemic bottlenecks in the development lifecycle, allowing teams to move faster without compromising quality.
• Advocate for Quality by Design: Work directly with product teams to guide architectural decisions, ensuring that new features are modular and testable from the first line of code.
• Ship High-Scale Infrastructure: Own the development and maintenance of frameworks used by hundreds of engineers across Airbnb, ensuring they are performant, reliable, and easy to use.

A Typical Day:

• Hands-on Development: Write high-quality, performant Kotlin code to extend testing frameworks and build AI-powered developer tools, leveraging LLMs to accelerate development workflows.
• Technical Ownership: Take ownership of key components of our Automated Quality Platform, ensuring operational excellence and high availability (24x7) of our testing infrastructure.
• Design & Review: Participate in deep-dive design reviews for new Android features, providing expert guidance on modularity and testability patterns.
• Applied AI: Implement LLM-based solutions for smart test orchestration, test case generation, and autonomous test discovery to reduce CI feedback loops.
• Cross-Functional Collaboration: Partner with Product and Mobile Infrastructure teams to align platform capabilities with the needs of the broader engineering org.
• Mentorship: Review code and provide technical guidance to peers, fostering a culture of commitment to craft and engineering rigor.

Your Expertise:

• Experience: 3+ years of professional Android development experience (or with a PhD) in a fast-paced, high-growth tech environment.
• Technical Mastery: Strong proficiency in Kotlin and the Android SDK. You have a solid understanding of modern Android architecture and the Gradle build lifecycle.
• Infrastructure Experience: Demonstrated expertise in building or maintaining test automation frameworks (e.g., Espresso, Compose Test) at scale.
• CI/CD & Tools: Familiarity with CI/CD orchestration and a passion for building tools that improve the developer experience.
• AI Curiosity: A strong interest or hands-on experience in leveraging AI/LLMs to solve engineering productivity or quality challenges.
• Problem Solving: Proven ability to navigate complex, ambiguous codebases and implement best-in-class solutions.
• Communication: Excellent communication skills with the ability to facilitate technical discussions across cross-functional teams.

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Responsibilities:

• Architect and implement cutting-edge Android applications
• Develop novel solutions leveraging AI technologies
• Optimize performance at all levels of the mobile stack
• Champion best practices in mobile development
• Obsessive attention to detail and app experience
• Contribute to backend systems as needed

You might be a good fit if you have:

• 7+ years of Android development experience and proficiency with latest mobile platform capabilities/intricacies, including
• Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem
• Practical experience with full-stack development and comfort working with backend technologies
• 0 to 1 experience building successful products in early stage environments
• A proven track record of shipping impactful, high-adoption mobile applications
• Experience building applications that utilize modern ML/AI technology
• Excellent communication and mentorship skills
• Thrive in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates

Strong candidates may have:

• 3D graphics, visual effects, and audio and video streaming on mobile
• A vision for the future of human-machine interaction and a drive to make that vision a reality

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We are seeking a Senior Software Engineer to join our Quality Platform team at Airbnb. The Quality Platform team is responsible for building the infrastructure that prevents bugs and ensures a seamless experience for millions of hosts and guests.

As a Senior Software Engineer, you will play a key role in evolving our Quality Platform. You will bridge the gap between product engineering and infrastructure, ensuring that our Android codebase remains highly testable and resilient as it scales.

Responsibilities:

• Build AI-Native Tooling: Move beyond traditional automation by implementing AI-driven agents that optimize our CI/CD pipelines and provide intelligent feedback to developers.

• Enhance Developer Velocity: Identify and resolve systemic bottlenecks in the development lifecycle, allowing teams to move faster without compromising quality.

• Advocate for Quality by Design: Work directly with product teams to guide architectural decisions, ensuring that new features are modular and testable from the first line of code.

• Ship High-Scale Infrastructure: Own the development and maintenance of frameworks used by hundreds of engineers across Airbnb, ensuring they are performant, reliable, and easy to use.

A Typical Day:

• Hands-on Development: Write high-quality, performant Kotlin code to extend testing frameworks and build AI-powered developer tools, leveraging LLMs to accelerate development workflows.

• Technical Ownership: Take ownership of key components of our Automated Quality Platform, ensuring operational excellence and high availability (24x7) of our testing infrastructure.

• Design & Review: Participate in deep-dive design reviews for new Android features, providing expert guidance on modularity and testability patterns.

• Applied AI: Implement LLM-based solutions for smart test orchestration, test case generation, and autonomous test discovery to reduce CI feedback loops.

• Cross-Functional Collaboration: Partner with Product and Mobile Infrastructure teams to align platform capabilities with the needs of the broader engineering org.

• Mentorship: Review code and provide technical guidance to peers, fostering a culture of commitment to craft and engineering rigor.

Your Expertise:

• Experience: 5+ years of professional Android development experience (or 2+ years with a PhD) in a fast-paced, high-growth tech environment.

• Technical Mastery: Strong proficiency in Kotlin and the Android SDK. You have a solid understanding of modern Android architecture and the Gradle build lifecycle.

• Infrastructure Experience: Demonstrated expertise in building or maintaining test automation frameworks (e.g., Espresso, Compose Test) at scale.

• CI/CD & Tools: Familiarity with CI/CD orchestration and a passion for building tools that improve the developer experience.

• AI Curiosity: A strong interest or hands-on experience in leveraging AI/LLMs to solve engineering productivity or quality challenges.

• Problem Solving: Proven ability to navigate complex, ambiguous codebases and implement best-in-class solutions.

• Communication: Excellent communication skills with the ability to facilitate technical discussions across cross-functional teams.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

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Your responsibilities will include contributing to the roadmap for Applied Training, designing and building a complete research cluster experience, owning the Python SDK, and writing documentation for running popular OSS training frameworks on CoreWeave.

You'll work with infrastructure teams and customers directly, understanding how they structure their internal supercomputing stacks and bringing that knowledge back to what we build.

As a staff software engineer, you'll have 8-12+ years of experience building distributed systems, ML infrastructure, or developer platforms, with real Kubernetes experience and a passion for rigorous engineering enabled by AI-based workflows.

You'll be a good communicator, able to work with customers, translate researcher complaints into system designs, and contribute to the growth and success of our team.

If you're excited about this opportunity, please apply!

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Your responsibilities will include creating and executing on a compelling vision to build world-class integration systems that empower both internal developers and third-party partners to build integrations with confidence. You will lead, mentor, and grow our talented team of platform engineers, while also coordinating with external consultants who build connectors using our SDK.

You will champion organizational growth by implementing scalable, reliable integration practices that accelerate product development and delight our customers. Elevate the principles of platform engineering across Lumos.

The ideal candidate will have 2+ years of proven people management experience leading engineering teams, experience managing teams focused on Integrations and/or Platform Engineering, and demonstrated experience building SDKs, developer platforms, or third-party integration ecosystems with a focus on developer experience and reliability.

Experience working at a startup, exposure to excellent engineering practices gained at a top-tier technology company, and knowledge and experience with modern integration patterns (REST, GraphQL, webhooks, event-driven architectures) are highly valued.

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You will be responsible for monitoring partner performance, identifying revenue optimization and growth opportunities, and working closely with product management to ensure partner compliance. You will be responsible for developing and fostering strong relationships with our partners and be comfortable communicating and working across all levels of the organization.

As a Programmatic Platforms Manager responsible for developing and growing revenue partnerships you will work with and partner across many internal functions at OfferUp ranging from Engineering, Finance, Product, and Legal.

The ideal candidate will have a proven track record in maximizing revenue and eCPM performance from third-party partners inclusive of SSPs, DSPs, Header Bidding, and Mediation platforms for both App and Web properties. Experience in the setup and management of sell-side partners, through a variety of programmatic integrations, including header-bidding channels.

Exhibit strong analytical as well as interpersonal skills with the ability to work in a fast-paced, innovative climate to problem solve to successful outcomes.

The role will require expertise in working with senior level leadership at our partners and internal and external team project management.

Key Responsibilities:

• Strategic Partner Management: Own the day-to-day management of key partnerships, monitoring performance and identifying revenue optimization, growth opportunities, and help troubleshoot technical issues.

• Platform Optimization: Setup and manage sell-side partners through a variety of programmatic integrations, including SDK integrations and header-bidding channels, to maximize revenue and eCPM performance.

• Yield & Performance Analysis: Test and perform yield analysis to determine optimal integrations for each partner and contribute to the overall revenue strategy. Provide monthly and quarterly performance reviews to internal stakeholders.

• Technical Implementation & Troubleshooting: Actively debug display and video ad delivery, resolving issues related to bid responses, creative rendering, and measurement.

• Ad Quality & User Trust: Monitor and maintain ad quality across the portfolio, acting as a steward for user trust by enforcing quality standards and updating blocklists.

• Strategic Development: Own the partnership management process and playbook to build a diversified partner strategy.

Qualifications:

• Bachelor's degree required.

• Professional Experience: 5 or more years experience working in Programmatic Advertising focused on Ad Operations and/or Revenue or Yield Management at an online publisher, SSP or DSP.

• Industry Expertise: Proven practical experience setting up and optimizing sell-side programmatic channels and expert-level knowledge of ad server management.

• Technical Aptitude: Hands-on knowledge of ad technologies and how to troubleshoot and debug integrations. Expertise in mobile SDKs or Google Ad Manager is a plus.

• Analytical Skills: Excellent quantitative skills and a strong background in using data-driven insights to drive strategic decisions.

• Interpersonal Skills: Proven ability to establish credibility with both business and technical owners and communicate effectively across all levels of an organization.

This role reports to the VP of Advertising and Business Development, is based in Bellevue, WA, and requires some domestic travel.

Compensation Range: $175,000-$195,000 (depending on experience)

OfferUp offers a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. Individual salaries within our ranges are determined through a variety of factors including, but not limited to education, experience, knowledge, skills and geography. All roles will receive equity in OfferUp as part of their compensation, the amount of equity varying depending on the individual’s level and experience.

In addition to our compensation package, this role is eligible to enroll in health insurance, healthcare savings and spending accounts, retirement savings benefits (401(k) plan with match), basic and voluntary life insurance, disability benefits, and paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays.

In regard to vacation time, OfferUp has a flexible vacation policy and, in general, full-time exempt employees will be expected to take 3-5 weeks (15-30 days) of pre-planned vacation time per year. Vacation needs are flexible and will naturally vary from year to year based on individual circumstances and business needs.

In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 hours) of sick time per year (pro-rated if they start a date other than January 1).

Your recruiter can share more details about specific benefits during the interview process.

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is seeking a Vice President of Product Management for Access Management. Access Management sits at the very core of our service and spans a broad technology scope, including Authentication Protocols, Multi Factor Authentication (MFA), Login Experience, Device Access, and Customer Identity. The Access Management team builds the experience that powers billions of monthly logins through Okta’s thousands of customers.

In a hyper-growth environment you will support the Access Management product management team in making roadmap prioritization decisions based on in-depth understanding of customer needs, market trends and the competitive landscape. You will partner with leaders across other product management teams, design, program management, engineering, finance and marketing to execute on the vision of providing secure access to everyone but not just anyone.

You will take an active role in identifying areas and levels of investment needed to deliver on company goals and continuously analyse build/license/buy opportunities across the Access Management portfolio. You will leverage data and experience to make lots of decisions every day to help unblock teams, and you will not hesitate to make bold recommendations to senior company leadership.

This role can be based from a home office anywhere in the US or Canada.

You will lead the Access Management product management team in the following areas:

Creating effective product requirements for iterative customer value release Publishing and communicating product vision and roadmap Work very closely with Access Management engineering leadership Support the product management team on engaging with developers at all stages, from hobbyists to large enterprises, to continuously deliver value and assess priorities Work collaboratively with product designers and researchers to increase market awareness Roadmap sourcing strategy: Build x Buy x Partner Monitoring business impact: ROI, Pricing, Margins Partnering with go-to-market on Product Launches Continuously monitor team structure and investment levels, providing recommendations for optimisations Partner in a leading role with Program Management and Engineering leadership in quarterly and yearly planning

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer's digital transformation. Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customised product demonstrations to educate Okta's Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey.

We believe Okta's Solutions Engineers empathise with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilise both.

As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta's Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineers, this Senior Solutions Engineer (Okta) will partner with Commercial Account Executives. As a Senior Solutions Engineer at Okta, you will be the technical lead in all stages of the customer lifecycle. You will focus on delivering customer value by aligning customer requirements to business results enabled by Okta solutions. You will contribute to account and opportunity strategies and, collaboratively, demonstrate the value of Okta solutions through presentations, whiteboard sessions, and proof-of-concept demonstrations.

What You'll Do

As a Senior Solutions Engineer, you'll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta's solutions

• Serve as a technical advisor: Partner with the sales team to educate customers on Okta's identity solutions and demonstrate their value.

• Solve customer challenges: Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.

• Lead technical engagements: Answer product and technical questions, and plan and deliver complex Proofs of Concept (POCs) by collaborating with other Okta engineering teams.

• Drive product and knowledge growth: Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.

• Stay ahead of the curve: Keep up with competitive analysis and market differentiation to better position Okta.

• Support company events: Represent Okta at marketing events, including conferences, user groups, and trade shows.

What You'll Bring

• Experience: 8+ years of experience in pre-sales engineering and solution selling, with a strong background in Enterprise account segments.

• Technical Acumen:

• Deep understanding of identity protocols (e.g., SAML, OIDC, OAuth, FIDO, Passkeys, SCIM, LDAP).

• Working knowledge of cloud platforms like AWS, Azure/Entra, and GCP.

• Experience with REST APIs and SDKs.

• Hands-on experience in one or more of the following: front-end web development, back-end development, scripting (Bash, PowerShell), or DevOps (Docker, Kubernetes).

• Understanding of identity-related cybersecurity topics (e.g., phishing, MFA bypass attacks, privilege escalation).

• Communication & Presentation Skills: The ability to simplify complex technical concepts and deliver compelling presentations to diverse audiences, from developers to C-level executives. You should be skilled at diagramming user journeys and complex architecture.

• Strategic Mindset: Proven skills in territory management, including building pipelines and collaborating with sales counterparts.

• Travel: Ability to travel up to 25% of the time.

• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

Bonus Skills (Ideally, You Have)

• Experience in the IAM space

• Hands-on knowledge of Identity Governance (IGA) or Privileged Access Management (PAM) solutions.

• Practical experience with Windows Server, Active Directory, LDAP, and Federation services.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.

#LI-Remote #LI-CM

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This role demands deep technical expertise in backend architecture and the ability to influence decisions across the team and adjacent engineering groups. You will thrive in a fast-paced, zero-to-one environment, cutting through ambiguity to drive product-market fit.

In practice, that means using AI tools for architectural reasoning and design review, generating and validating test coverage, accelerating code review cycles, and helping engineers build judgment about when AI output is trustworthy and when it isn't.

You'll define what 'good' looks like here and bring the team along. You'll also be a force multiplier - mentoring senior engineers, raising the technical bar through architecture.

Proactively shape the technical strategy and architecture of a greenfield VDC identity ecosystem, partnering with principal engineers to ensure decisions prioritize open standards and interoperability.

Own architectural decisions in a fast-moving environment - balancing rapid delivery with long-term scalability, security, and platform integrity.

Identify and mitigate technical risks before they become blockers; escalate dependencies early and widely.

Own production health for your systems - incident response, root cause identification, and driving operational improvement projects (monitoring coverage, alert reduction, runbook quality).

Champion high engineering standards across the team, including rigorous code reviews, comprehensive unit/functional testing, and architectural review processes to ensure the platform is tamper-proof.

Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.

Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.

Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.

Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole.

Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.

Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.

Solid understanding of web authentication and authorization fundamentals - how auth flows work, token-based access (JWT, OAuth), and best practices for securing sensitive user data.

Deep expertise in building highly reliable, secure, enterprise-grade software using Java or Node.js.

Proficiency in JavaScript or TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.

Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS.

Hands-on experience with identity protocols such as OIDC4VP, OIDC4VCI, OAuth, and the W3C Verifiable Credentials data model.

Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.

Practical knowledge of cryptography: public/private key infrastructure (PKI), digital signatures, and hashing, particularly in the context of Verifiable Credentials or DIDs.

Experience building or maintaining publicly released SDKs used by external developers.

Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling, working with blockchain technology, or contributing to a 'zero-to-one' startup-like team.

The annual base salary range for this position for candidates located in Canada is between $160,000-$220,000 CAD.

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer's digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta's Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers Enterprise West, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you'll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta's solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you'll bring to the role

• 8+ years pre-sales engineering experience and solution selling
• A passion to serve the Customer, demonstrated in a customer-facing role, such as presales or professional services, but ideally in a pre-sales capacity
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, backend (Java, C#, Node.js, Python) development, scripting (Bash, Powershell, Perl)
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• You're an exceptional communicator, adept at simplifying complex technical concepts for diverse audiences, including highly skilled experts in large group settings
• A confident and articulate presenter, you excel at sharing knowledge and insights with experienced technical professionals and large expert audiences
• Demonstrated ability to effectively communicate complex technical information to highly skilled and experienced audiences, whether one-on-one or in large presentations
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Typically 25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred

You ideally have

• Proven experience designing, implementing, and managing Privileged Access Management (PAM) solutions in enterprise environments
• Deep understanding of the challenges and best practices associated with securing privileged accounts, including just-in-time (JIT) access, session recording, credential vaulting, and secrets management
• Practical experience managing Windows Server, Active Directory, LDAP, and Federation services
• Proficiency in UNIX/Linux, database security, network security, scripting, and DevOps practices preferred
• Relevant experience with enterprise applications, security management, systems management, identity management, and/or policy management solutions, particularly in the areas of Identity and Privileged Access

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Your work will involve collaborating closely with the Terminal backend and infrastructure teams to design and implement scalable payments solutions across Stripe's services. You will also support the development of mobile device testing infrastructure and automation frameworks, and work with engineers, product managers, designers, and stakeholders across the company to deliver complete features.

To succeed in this role, you should have a strong technical background, with 2+ years of experience working with at least one of the following: Java, Kotlin, Swift, Objective-C. Experience building and maintaining backend services or distributed systems is also essential. Additionally, you should have demonstrated ability to work across the stack, from mobile clients to backend infrastructure.

We offer a competitive salary and benefits package, as well as opportunities to work on exciting projects and collaborate with a talented team of engineers and product managers.

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Identity and Access Management (IAM) Expertise:

• 5+ years of pre-sales engineering experience in IAM.
• Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
• Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.

Technical Proficiency:

• Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
• Experience working with REST APIs, API Gateways, and SDKs.
• Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
• Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).

Customer Engagement & Communication:

• Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
• Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
• Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.

Strategic & Organizational Skills:

• Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Education & Travel:

• Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
• Typically 25% travel.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

As a Senior Developer Advocate, you represent Okta to external developers. You will establish relationships primarily with developers already using Okta or in the process of onboarding. You will also champion Okta services to ISVs and Okta Partners. You will craft resources to help build or integrate with Okta, including sample apps, videos, technical guides, and workshops. You will engage with our customers and 3rd party integrator community, championing their interests, accelerating their development, and translating their feedback into actionable product insights.

Job Duties & Responsibilities

• Create code demos and sample applications to showcase Okta product features

• Compose blog posts and videos on how developers can incorporate Okta into their identity solutions

• Answer developer/integrator questions found on social media, forums, and comments made on Okta posts

• Speak at technical events, support workshops/labs/hackathons, and lead conversations on identity

• Utilize your “developer zero” mindset to test product usage scenarios

• Capture and drive feedback to respective product teams

Minimum Required Knowledge, Skills, and Abilities:

• You have 5+ years of experience as a developer - a plus if you have any experience in developer relations.

• Demonstrated proof of using AI in development environments

• Strong technical understanding of REST APIs, HTTP, SDKs, and authentication/authorisation protocols (OAuth2, Basic Auth, OpenID Connect, SCIM, ...)

• Server-side development (Java and/or .NET a plus)

• You not only enjoy creating developer content, you are eager to share your findings with other developers, whether online or at in-person events

• Great verbal and written communication skills. Able to adjust your message for different audiences

• Deep understanding of developer communities and forums of which you are actively engaged

• You are self-driven, work well remotely, while maintaining strong visibility internally and to external developer communities

• You are known to be a strong contributor and a collaborator who takes initiative

• You are passionate about developer topics, and enjoy helping others solve problems

• You are always learning and curious, keeping up to date with developer trends - a plus if you are a trendsetter yourself

The annual base salary range for this position for candidates located in Canada is between $136,000-$187,000 CAD.

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Key responsibilities include:

• Comprehensive discovery: Understanding the requirements of customers and prospects in the context of their desired business outcomes.
• Deal progression: Working in close partnership with the sales team to progress opportunities.
• Manage technical sales progression from discovery to technical win.
• Building sales presentations, product demonstrations and educating customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.
• Have a hands-on approach to solution validation, such as building and delivering custom demonstrations, supporting customer-led PoCs etc.
• Empathising with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs.

Requirements include:

• Experience working in a Pre-Sales role as Sales Engineer or Solutions Engineer.
• An ability to quickly articulate complex ideas around a technical topic, ideally on the fly at a whiteboard.
• Experience in a customer-facing role such as consulting, support, teaching, or pre-sales.
• Experience with at least one standard identity protocol (e.g. OIDC, OAuth2, SAML, LDAP).
• Strong development background with proficiency in at least one backend stack (e.g., Java, C#, Node.js, Python, PHP, Ruby) and a popular frontend stack (e.g., React, Angular, Vue).
• Experience working with REST APIs and SDKs.
• An understanding of core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Excellent communication skills and an ability to articulate business value.
• An ability to disperse knowledge to a highly skilled and experienced audience.
• A natural at building relationships, listening, and managing time well.
• Enjoy traveling and meeting customers.

Bonus points if you have experience in any of the following:

• Experience with Identity & Access Management, Single Sign-on and API-based solutions.
• An understanding of Agentic AI and the role that Identity plays in enforcing continuous oversight.
• Experience in mobile (iOS, Android) development.
• Experience working with HTTP, HTML, and REST services.

The role is based in Tel Aviv and the expectation will be that you will spend 2-3 days a week either meeting with prospective customers, existing customers, or collaborating with the team in the Office.

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You are a good fit for this role if you have 5+ years of software development experience. You have excellent communication and collaboration skills. You have experience building public or internal mobile APIs/SDKs and working with Java and Kotlin. You have experience with XML layouts, View Binding, and Android Views (ViewModels, LiveData). You have experience with unit/UI/integration/performance testing on iOS (JUnit, Robolectric, Mockito, MockK, etc.). You have experience with Realm database or similar mobile NoSQL solutions. You have experience with mobile CI/CD pipelines (Github Actions).

Bonus points if you have 1+ years of experience in identity and access management (IAM) domain, particularly with Auth0 Guardian SDK or similar MFA/authentication solutions. You have experience with Android security best practices including cryptography (RSA, PBKDF2), biometric authentication, Android KeyStore, and ProGuard/R8 optimization. You have experience with Dagger 2 dependency injection and migrating legacy MVP architecture to MVVM patterns. You have experience with infrastructure-as-code tools (e.g., Fastlane, Gradle, Snyk, or Terraform).

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Responsibilities include designing and prototyping proof-of-concept solutions, collaborating with engineering teams at partner organizations, leading onboarding and testing, and representing the technical voice of the partner internally. You will also support escalations for complex or high-impact integrations and provide clear, actionable direction to resolve blockers quickly and sustainably.

Basic qualifications include a Bachelor's degree in Computer Science, Engineering, or a related field, 5+ years of software development experience, and hands-on coding expertise in one or more modern programming languages. Preferred qualifications include a deep understanding of the AdTech ecosystem and contributions to developer experience through tooling, documentation, or ecosystem standards.

Benefits include comprehensive healthcare benefits, 401k matching, workspace benefits for your home office, personal and professional development funds, family planning support, flexible vacation, and Reddit Global Wellness Days.

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Your primary responsibilities will include delivering interactive presentations and solution demonstrations to all levels of an organization, whiteboarding solutions, and leading Q&A sessions with prospective customers. You will also collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts.

To be successful in this role, you will need to have a strong technical understanding of the Auth0 product line and the underlying technologies and protocols. You should also be able to communicate effectively with both technical and non-technical audiences.

In addition to your technical expertise, you will need to have excellent communication and interpersonal skills, as well as the ability to work in a fast-paced environment.

As a Solutions Engineer, you will have the opportunity to work with a variety of customers and projects, and to contribute to the growth and success of our business.

If you are a motivated and detail-oriented individual with a passion for technology and customer service, we encourage you to apply for this exciting opportunity.

The annual On Target Compensation (OTE) range for this position for candidates located in Germany is between €122,000-€134,000 EUR.

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The Impact You Will Have:

• Build: You will design and develop robust frontend interfaces and API backends (e.g., FastAPI routing user queries to model-serving endpoints). You will build solutions ranging from data-rich dashboards to enterprise chat solutions powered by the Mosaic AI Agent Framework.

• Architect: You will design secure and scalable application architectures that can suffice GTM requirements on building custom SaaS applications.

• Scale: You will create scalable applications that seamlessly connect to Databricks SQL via the Statement Execution API or Databricks SDK. You will establish CI/CD pipelines using Declarative Automation Bundles (DABs) to automate deployment across development, staging, and production workspaces.

What we look for:

• You have 5+ years of experience working as a Software Engineer, Data App Developer, or Full-Stack Engineer building interactive web applications.

• You are proficient in Python, DBSQL and/or Node.js. Experience with frameworks like Streamlit, Dash, Flask, FastAPI, React, or Express is required.

• You know the Databricks ecosystem. Familiarity with Unity Catalog, Databricks SQL, Databricks SDK for Python, and Model Serving is highly preferred.

• You have built for scale and security. Experience with CI/CD tools, Infrastructure as Code (specifically Databricks Asset Bundles), and implementing secure OAuth flows.

• You are passionate about applying AI. Experience integrating LLMs or Mosaic AI Agent Frameworks into application backends to deliver intelligent chat and RAG solutions.

• You excel in a collaborative environment. You can translate stakeholder requirements into intuitive user interfaces, working through dependencies and troubleshooting deployment errors or telemetry logs.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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The Anthropic Platform Org's mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.

Responsibilities:

Customer Understanding & Advocacy

• Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
• Run regular feedback sessions and technical reviews with key enterprise customers
• Build strong relationships with enterprise development teams to understand their workflows and challenges
• Transform customer insights into actionable product requirements and priorities

Product Strategy & Vision

• Define and execute the enterprise API strategy, balancing security requirements with developer experience
• Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
• Identify and prioritize key enterprise integration patterns that drive organisational value

Enterprise API Development

• Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
• Design and implement enterprise integration frameworks and SDKs for common enterprise systems
• Drive development of industry-specific API features and compliance capabilities

Cross-functional Leadership

• Partner with sales and customer success to understand enterprise requirements and support technical evaluations
• Work closely with security and compliance teams to meet enterprise standards
• Collaborate with platform teams on API architecture and scalability
• Engage with marketing to develop enterprise API positioning and technical materials

You may be a good fit if you:

• Have 10+ years of experience in high-scale, high-reliability developer-facing software.
• Have 5+ years of product management experience.
• Have built or shipped products with a hyperscaler as a partner , you know how to align goals and deliver impact across that boundary.
• Have owned a revenue number, a margin target, or a channel P&L , not just a product roadmap.
• Operate with high autonomy in ambiguous, fast-moving environments.
• Are an excellent written communicator and able to drive clarity out of complexity.
• Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organisation.

Strong candidates may also have:

• Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
• Direct experience as a PM at AWS, GCP, or Azure , or at an ISV that ships through one of their marketplaces.

The annual compensation range for this role is $305,000-$385,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• 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 at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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As a Fullstack Software Engineer, you will shape the next generation of the Stytch product as we bring Stytch’s capabilities to Twilio’s full customer base, delivering secure, developer-first identity experiences.

Your focus will be the onboarding and integration experience for our customers - you’ll make it fast and delightful for developers to integrate Stytch and for end users to complete authentication and authorization flows, including emerging agentic and non-human identity use cases.

This is a rare chance to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale.

Responsibilities:

• Design, build and own the onboarding and integration experience for our customers, including intuitive, reliable SDK APIs that make our product easy to adopt for developers.

• Partner closely with Product, Design, and Engineering leadership to shape the team’s roadmap, prioritize high-impact work, and deliver features that unlock customer value quickly.

• Build in ambiguity: break down complex authentication and identity problems, make pragmatic tradeoffs, and deliver incremental milestones to production.

• Raise the bar for the quality of the products you work on through testing, versioning, documentation, backward compatibility, and smooth migration paths.

• Improve performance, reliability, and security of client-side flows, especially those on customers’ critical paths.

• Mentor and support other engineers through pairing, feedback, and knowledge-sharing, helping raise the team’s technical bar and culture.

Qualifications:

• 3+ years of experience as a fullstack engineer delivering customer-facing web products in production using modern frontend technologies (Next.js experience is a must)

• Experience developing and maintaining complex web applications and/or public-facing web SDKs.

• Experience building developer-first APIs and tools, with a focus on integration experience.

• Proven ability to ship high-quality, reliable software that runs across browsers and environments.

• Excellent written and verbal communication skills; comfortable writing design docs and leading technical discussions.

• Bachelor’s degree in Computer Science or equivalent practical experience.

• Schedule: ability to work non-standard, on-call rotation weekend and holiday hours.

Desired:

• Experience owning or contributing to open-source libraries or SDKs.

• Familiarity with authentication, identity, security, or fraud-adjacent client-side flows.

• Experience supporting public SDKs: release automation, semantic versioning, deprecations, and long-term maintenance.

• Interest in emerging identity patterns, including agentic/non-human identity and new auth workflows.

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Zuma is pioneering the future of agentic AI in property management. We build AI agents that act as property managers, handling the full spectrum of interactions with both prospects and current residents on behalf of our clients.

Our agents don’t just assist human workflows; they own them end-to-end, operating across leasing, collections and resident communications. Zuma has ambitions to continue expanding into adjacent work activities in tangential areas of property management.

This is a rare chance to shape the future of how an entire industry operates , not in theory, but in production, at scale, touching real customers and physical assets every day. At Zuma, human and AI agents work side by side, and you'll help define what that collaboration looks like at its best.

Responsibilities

• Own E2E projects that cross all areas of software development including full stack web apps, agentic AI solutions across multiple work activities, extensive integrations with PMS and CRM systems, infrastructure, and internal tooling.

• Architect, build, and deploy production AI agents using modern agent frameworks, owning the full lifecycle from design to reliability in production.

• Define the technical patterns and standards for how software is built across the engineering org , you will be setting the playbook others follow.

• Strengthen our core systems , including our onboarding/configuration system, integration frameworks, and AI performance analytics infrastructure.

• Collaborate directly with the VPE and product leadership to translate product vision into delivery, making high-stakes technical trade-offs with confidence.

• Own system reliability, observability, and continuous improvement , defining how we measure, monitor, and iterate on our agents and web products in production.

• Work across the stack (backend services, LLM orchestration, integrations, data pipelines, frontends) to ship agents and products that are robust and scalable.

• Tame legacy code and lay down new foundations , patterns and architecture you create will be inherited by the engineers who come after you.

• Be a close partner to the product and operations teams, turning their domain needs into intelligent automated workflows without requiring domain expertise upfront.

Nice to Have

• Prior experience at a startup or high-growth company; comfort shipping fast and iterating in production.

• AWS experience with IaC (Terraform) and comfort working with infrastructure / dev ops.

• Background in building self-serve platforms or integration infrastructure.

• Experience with workflow automation platforms or business process orchestration.

• Experience with telephony integrations (Twilio or similar) and building voice-capable agents or chatbots across text and voice channels.

• Familiarity with speech-to-text, text-to-speech, or real-time audio streaming pipelines in production AI systems.

• Classical ML experience , supervised/unsupervised learning, feature engineering, model training and evaluation outside of LLM contexts.

Our Stack

• Python, TypeScript/Node.js

• OpenAI, Anthropic

• LangGraph, OpenAI Agents SDK, custom orchestration layers

• AWS, AWS ECS, PostgreSQL, Redis

• RealPage, Entrata, Yardi, and other property management systems

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Position Summary As a Senior iOS Engineer, you will be joining the recently acquired UnifyID team at Prove. This team is building the next generation of user authentication that combines behavioural biometrics from smartphone sensor data, machine learning modelling, and enterprise-grade cloud services. The result is an accurate, frictionless, and secure authentication service that defends against malicious attacks on mobile and web experiences.

Responsibilities

• Hands-on coding, systems analysis, design, and delivery of projects assigned
• Deliver new features, execute on the roadmap and plan for the future
• Enhance our existing iOS SDK for an optimal mobile experience
• Provide thought leadership on industry best practices around design, testing, and security
• Manage the iOS SDK API program and documentation
• Mentor other developers

What We Require

• 5+ years of professional software development experience, preferably in a fast-paced environment
• Strong software development principles, including scalable software and architectural design patterns
• Experience executing on complex features leveraging the power of native iOS SDKs
• Strong knowledge of iOS along with competency using standard libraries
• Experience with evaluating and optimising resource usage, including battery usage
• Bachelor’s degree in computer science or related field/experience preferred
• Experience with Android and/or SaaS a plus
• Experience with low-level system data collection from on-device sensors a plus
• Familiarity with Machine Learning and/or Signal Processing techniques a plus

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Our data analytics platform can translate mobile sensor data from real-world human activity into a “digital fingerprint” with no conscious action from the user, all in real-time, and in a way that respects user privacy.

This is an opportunity to be a part of something truly unique and game-changing.

Your day-to-day

• Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform
• Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems
• Provide thought leadership on industry best practices around design, testing, and security
• Be proactive in ensuring that customers using your software have a great experience
• Wear many hats to make things happen in a dynamic startup environment
• Bring your own unique expertise to the team and learn from others
• Enjoy tight collaboration with your teammates

Ideal candidates will have...

• Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care
• Many “been there, done that” stories related to shipping and maintaining mobile releases for large numbers of customers
• Experience executing on complex features leveraging the power of native Android SDKs
• Strong knowledge of Android Studio along with competency using Android standard libraries
• Experience analyzing features in production using analytics and experiments (e.g. A/B testing; use various reporting systems to identify root cause of issues etc.)
• A breadth of technical skills and know how to use the right tool for the job
• A positive can-do attitude and bring a passion for excellence to the workplace
• Excellent collaboration and communication skills
• Knowledge of cybersecurity, machine learning, or experience working with motion sensor data a bonus

Additional Information

Join us! As we continue to scale our company, we are looking for people who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together. Prove has big plans; we’re excited and optimistic about the future. If this sounds like a career for you – come check us out.

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Position Summary As a Lead iOS Engineer, you will be joining the recently acquired UnifyID team at Prove. This team is building the next generation of user authentication that combines behavioural biometrics from smartphone sensor data, machine learning modeling, and enterprise-grade cloud services. The result is an accurate, frictionless, and secure authentication service that defends against malicious attacks on mobile and web experiences.

Responsibilities

• Hands-on coding, systems analysis, code reviews, design, and delivery of projects assigned
• Set a good example by writing well-designed, testable, efficient code that meets coding standards
• Deliver new features, execute on the roadmap and plan for the future
• Enhance our existing iOS SDK for an optimal mobile experience
• Provide thought leadership on industry best practices around design, testing, and security
• Manage the iOS SDK API program and documentation
• Exercise creative thinking and imagination to find solutions to hard problems.
• Mentor other developers

Required Skills

• 5+ years of professional software development experience, preferably in a fast-paced environment
• Strong software development principles, including scalable software and architectural design patterns
• Experience executing on complex features leveraging the power of native iOS SDKs
• Strong knowledge of iOS along with competency using standard libraries
• Experience with evaluating and optimising resource usage, including battery usage
• Bachelor’s degree in computer science or related field/experience preferred
• Experience with Android and/or SaaS a plus
• Experience with low-level system data collection from on-device sensors a plus
• Familiarity with Machine Learning and/or Signal Processing techniques a plus

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We are looking for a seasoned software engineer with deep experience on Android to join our A+ technical team in designing and building innovative mobile solutions to our customers.

UnifyID is building a platform to solve one of the world's biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what's possible in production machine learning and on mobile devices.

Our data analytics platform can translate mobile sensor data from real-world human activity into a 'digital fingerprint' with no conscious action from the user, all in real-time, and in a way that respects user privacy.

This is an opportunity to be a part of something truly unique and game-changing.

Your day-to-day

• Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform

• Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems

• Provide thought leadership on industry best practices around design, testing, and security

• Be proactive in ensuring that customers using your software have a great experience

• Wear many hats to make things happen in a dynamic startup environment

• Bring your own unique expertise to the team and learn from others

• Enjoy tight collaboration with your teammates

Ideal candidates will have...

• 5+ years in the trenches of the software industry, delivering quality software that matters to people that care

• Many 'been there, done that' stories related to shipping and maintaining mobile releases for large numbers of customers

• Experience executing on complex features leveraging the power of native Android SDKs

• Strong knowledge of Android Studio along with competency using Android standard libraries

• Experience analyzing features in production using analytics and experiments (e.g. A/B testing; use various reporting systems to identify root cause of issues etc.)

• A breadth of technical skills and know how to use the right tool for the job

• A positive can-do attitude and bring a passion for excellence to the workplace

• Excellent collaboration and communication skills

• Knowledge of cybersecurity, machine learning, or experience working with motion sensor data a bonus

Additional Information

Join us!

As we continue to scale our company, we are looking for people who know how to make an impact.

We're talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions.

The work is challenging and requires not only smarts but natural curiosity and tenacity.

Teamwork is also important to us – we work together and play together.

Prove has big plans; we're excited and optimistic about the future.

If this sounds like a career for you – come check us out.

This team is located in the heart of Silicon Valley in downtown Redwood City and has unparalleled access to deep entrepreneurial expertise, high-caliber academic research institutions, and top-tier VC resources.

Finally, it is important that you be authentic and be yourself.

Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics.

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The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.

As a Systems Modeler for Hivemind at Shield AI, you will be a key member of a multidisciplinary Systems Engineering team, working collaboratively with Product, technical individual contributors, and Test / Quality Assurance team members to define, model, and communicate the structure and behavior of complex autonomy software systems.

This role focuses on building and maintaining system models that span the full product stack,from foundational software and autonomy algorithms to developer infrastructure to user-facing interfaces.

In addition to modeling the Hivemind SDK product, you will also use your skills to help us improve our internal engineering processes, modeling the design of the systems that support product development such as CI/CD pipelines, test and configuration systems, and software and product life cycle processes.

While your primary focus will be systems modeling, as part of a full Systems Engineering team, you will also support your team members as needed by helping with functions such as requirements development.

This role is hands-on and highly collaborative, requiring deep expertise in systems modeling and Model-Based Systems Engineering (MBSE), strong software system intuition, and working knowledge of autonomous software pipelines.

As a Systems Modeler on the Hivemind team, you will help create a shared, rigorous understanding of one of Shield AI’s most complex and critical software products.

Your models will shape architecture decisions, enable cross-team alignment, and ensure that Hivemind continues to scale as a robust autonomy platform.

WHAT YOU'LL DO:

System modeling and MBSE: Develop and maintain high-quality system models that describe architecture, behavior, interfaces, and data flows across the Hivemind SDK.

Cross-stack system understanding: Work closely with engineers across the entire product stack,including foundational software, autonomy and AI algorithms, simulation and test infrastructure, and GUI layers,to capture an accurate and fully detailed model of the Hivemind SDK product.

Process and lifecycle modeling: Model internal engineering processes such as software development lifecycle workflows, CI/CD pipelines, testing and release processes, and configuration management to improve shared understanding and enable continuous improvement.

Architecture definition and analysis: Support system architecture trade studies, identify dependencies and constraints, and analyze impacts of design decisions across software components, development workflows, and operational use cases.

Requirements support: Ensure alignment and traceability between requirements and system models.

Communication and documentation: Use system models as a primary communication artifact to align stakeholders, surface risks and gaps, and enable informed technical decision-making across teams.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field with demonstrated experience working on complex software or autonomous systems.

• Strong experience with MBSE practices, including practical application of SysML v1.6 and familiarity with SysML v2 concepts.

• Hands-on experience with Cameo Systems Modeler or equivalent MBSE tools.

• Proven ability to understand, model, and reason about large-scale autonomy software systems and developer-focused SDKs.

• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.

• Experience working cross-functionally with software engineers, autonomy / AI engineers, test engineers, product managers, and UX / GUI teams.

• Familiarity with requirements engineering concepts (e.g., requirement quality, traceability, validation) and willingness to contribute to requirements writing when needed.

• Familiarity with software development workflows in modern languages (C++17 or later, Python, Go, etc.).

PREFERRED QUALIFICATIONS:

• Prior experience modeling autonomy or robotic systems.

• Experience supporting or defining developer tooling, SDKs, or platforms.

• Exposure to safety-critical or mission-critical software development environments.

• Experience using system models to drive reviews, design milestones, or technical decision forums.

• Experience creating software tooling. For example, scripts to import information into Cameo.

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The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.

As a Requirements Engineer for Hivemind at Shield AI, you will be a key member of a multidisciplinary systems engineering team, working collaboratively with Product, technical individual contributors, Test / Quality Assurance team members, and systems modelers to translate product user stories into clear engineering requirements with testable metrics.

This role involves defining, modeling, and validating the Hivemind software system and its applications. It is hands-on and highly collaborative, requiring expertise in requirements formulation, traceability, management, systems modeling, and knowledge of autonomous software pipelines.

Responsibilities:

• Work cross-functionally with Product Managers, technical individual contributors, and Quality Assurance team members to translate high-level customer feature requests into clear, detailed technical requirements aligned with product vision and roadmap.

• Identify dependencies, constraints, edge cases, and risks within proposed product or technical requirements.

• Author clear and well-structured documentation, including acceptance criteria, traceability links, and system models.

• Collaborate with the Quality Assurance, Test, and development teams to validate that requirements are implemented correctly.

• Track and manage requirements throughout the development lifecycle.

• Serve as the point of integration between customer intent and engineering execution.

Qualifications:

• Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field.

• Extensive experience generating product and test requirements for software products.

• Working knowledge of requirements management tools such as DOORS, Jama, or Jira.

• Comprehensive understanding of robotics and autonomy concepts.

• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.

Preferred Qualifications:

• Experience supporting or defining developer tooling, SDKs, or platforms.

• Exposure to safety-critical or mission-critical software development environments.

• Experience creating software tooling or using software APIs for common requirements and project management tools.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

As a Staff Product Manager, Applied AI, you will define and execute Plaid's external AI strategy for developers and Plaid's customers. You will ensure Plaid is easy to use within AI-native applications, agent workflows, and AI coding environments. You will build developer-facing AI capabilities, shape ecosystem integrations, and drive AI-attributed growth.

Responsibilities

• Define and ship Plaid's AI-ready developer MCP.
• Build a CLI optimized for agent and LLM invocation.
• Improve AI-readability and usability of Plaid documentation and SDKs.
• Design lightweight hobbyist permissioning infrastructure.
• Partner with Go-To-Market to size AI-native opportunities.
• Launch ecosystem integrations and AI platform partnerships.
• Define metrics and measure AI-attributed developer growth.
• Influence long-term AI platform strategy at Plaid.

Qualifications

• 5+ years of product management experience.
• Experience with AI platforms, LLMs, or developer AI tooling.
• Experience building developer-facing products (APIs, SDKs, platform tooling).
• Strong technical fluency and ability to work with engineers on platform architecture.
• Track record of shipping 0>1 initiatives.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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Depending on your background, you may oversee one (Team Lead) or multiple (Engineering Manager) product teams, driving both execution and delivery while staying hands-on. Our product engineering teams typically consist of five members.

As a team lead, you will dynamically balance individual contributions, project leadership, and team management, with the balance shifting as your team grows. You will work closely with Product Managers to deliver features that directly benefit our users and business.

Your responsibilities will include fostering a strong team culture, establishing clear processes, elevating engineering standards, and ensuring consistent, high-quality delivery.

This is a highly critical role at the intersection of product engineering infrastructure and people. You will help shape how our engineering organization works, how we build at scale and how we turn cutting-edge AI research into reliable production-grade systems used by millions of developers and end users.

If you enjoy building complex systems, leading ambitious engineers and shipping products that matter, this role is for you.

Key components of our technology include:

• Empower Your Team(s): Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution and create an environment where engineers can focus on building impactful high-quality products.

• Lead Delivery and Accountability: Own the delivery of your team’s roadmap and ensure projects are shipped with the right level of quality reliability and performance. Keep the team accountable for results and maintain strong execution momentum.

• Bridge Product and Technology: Partner closely with Product Managers to define the roadmap and priorities of your team. Scope initiatives, estimate engineering effort and drive prioritization decisions based on business and technical impact.

• Hands-on Technical Leadership: Stay deeply involved in architecture design, system design, coding, peer reviews and technical decision-making. Lead by example and remain connected to the day-to-day challenges of the team.

• Process and Clarity: Define and evolve team processes, best practices and execution rituals with the team. Ensure they remain relevant as the team and product scale.

• Raise the Engineering Bar: Challenge engineers to step up, take ownership and grow beyond their comfort zone. Increase the team’s bus factor through knowledge sharing, documentation and rotation of responsibilities.

About you:

• 5+ years of relevant professional work experience.

• Master’s degree in Computer Science, Information Technology or a related field.

• Proficiency in one of the following languages: Python, JavaScript/TypeScript, C#, Golang.

• Experience with building and leading high-performing teams.

• Experience with working with cross-functional teams like product, design, business, etc.

• Experience with project management and planning.

• Ownership and capacity to ship products end-to-end.

• Strong problem-solving abilities and attention to detail.

• Excellent communication skills.

• Low ego and team spirit mindset.

• Autonomous and self-starter.

Ideal if you have experience with:

• Experience with Platform & DX products (API, SDK, Tooling, Observability, Billing, etc.)

• AI/ML/MLOps engineering

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You will have access to our massive GPU cluster for training and inference. Some core technologies we use include Python, torch, diffusers, and the fal Python SDK. You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs. You have work published in ICCV, ICML, Neurips, CVPR.

What we offer at fal includes interesting and challenging work, competitive salary and equity, a lot of learning and growth opportunities, health, dental, and vision insurance (US), regular team events and offsites.

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Your work will focus on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets.

You will have access to our massive GPU cluster for training and inference.

Some core technologies we use include Python, Torch, Diffusers, and the Fal Python SDK.

You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs.

Our compensation package includes a salary range of $170,000 - $250,000, plus equity, and a comprehensive benefits package.

We offer interesting and challenging work, a lot of learning and growth opportunities, visa sponsorship, and relocation assistance to San Francisco.

We also provide health, dental, and vision insurance, regular team events, and offsites.

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You will combine deep technical expertise with strong leadership to build high-impact scalable systems while growing and guiding a high-performing engineering team. On average, our team leads are responsible for teams of about five people for a specific product, owning both execution and delivery while remaining hands-on with code.

You will split your time dynamically between individual contribution and leadership, with the balance shifting as your team grows. You will collaborate closely with Product Managers and ship features that directly impact our users and business.

You will be responsible for creating a strong team culture, setting clear processes, raising the engineering bar and ensuring consistent high-quality delivery.

This is a highly critical role at the intersection of product engineering infrastructure and people. You will help shape how our engineering organization works, how we build at scale and how we turn cutting-edge AI research into reliable production-grade systems used by millions of developers and end users.

If you enjoy building complex systems, leading ambitious engineers and shipping products that matter, this role is for you.

Key Responsibilities:

• Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution and create an environment where engineers can focus on building impactful high-quality products.

• Own the delivery of your team’s roadmap and ensure projects are shipped with the right level of quality reliability and performance. Keep the team accountable for results and maintain strong execution momentum.

• Partner closely with Product Managers to define the roadmap and priorities of your team. Scope initiatives, estimate engineering effort and drive prioritization decisions based on business and technical impact. Keep the whole team involved and engaged in the product direction.

• Stay deeply involved in architecture design, system design, coding, peer reviews and technical decision-making. Lead by example and remain connected to the day-to-day challenges of the team.

• Define and evolve team processes, best practices and execution rituals with the team. Ensure they remain relevant as the team and product scale.

• Challenge engineers to step up, take ownership and grow beyond their comfort zone. Increase the team’s bus factor through knowledge sharing, documentation and rotation of responsibilities.

Requirements:

• 5+ years of relevant professional work experience.

• Master’s degree in Computer Science, Information Technology or a related field.

• Proficiency in one of the following languages: Python, JavaScript/TypeScript, C#, Golang.

• Experience with building and leading high-performing teams.

• Experience with working with cross-functional teams like product, design, business, etc.

• Experience with project management and planning.

• Ownership and capacity to ship products end-to-end.

• Strong problem-solving abilities and attention to detail.

• Excellent communication skills.

• Low ego and team spirit mindset.

• Autonomous and self-starter.

Nice to Have:

• Experience with Platform & DX products (API, SDK, Tooling, Observability, Billing, etc.).

• AI/ML/MLOps engineering.

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Key Responsibilities:

• Establish strong relationships with senior executives and professional users, not only with Helpshift clients but also with internal teams from Account Management, Sales, Marketing, Operations, Product, and Engineering.
• Manage a team of Customer Success Managers in the US, EMEA, and APAC regions, serving our enterprise, SMB, and mid-market clients worldwide, ensuring overall health and satisfaction of clients in your portfolio.
• Collaborate with the Integration Team, Operations Team, and other relevant teams to manage all aspects of the standard and complete customer lifecycle.
• Design evolving business strategy manuals and identify opportunities to strengthen internal processes or increase customer satisfaction.
• Collaborate with Engineering and Product Teams to defend customer needs based on profitability analysis and integrate customer voice into the roadmap planning.
• Collaborate with Support and Engineering Teams to manage and mitigate escalations and plan major releases.
• Collaborate with internal teams, including Account Managers and Operations Teams, to create a strategy and manage major lifecycle events such as renewals, growth, roadmap planning, and beta launches, to support product adoption and business objectives.
• In addition to managing commercial evaluations, you will lead and work with Account Managers and/or Operations Teams to help clients define essential goals or key performance indicators that will help them achieve their objectives, promote feature adoption, ensure retention, and drive growth opportunities.
• You will be the Helpshift product expert from a professional user perspective and become a trusted strategic advisor for each client you engage with.
• Assist clients with questions in all product domains and use your technical knowledge of the Helpshift platform to inform clients of best practices in configuration and software development kit (SDK) integration.
• Respond to client requests within 12-24 hours (by priority level) and, as needed, high-priority client requests during the day, evening, and weekend, as required.

About You:

• You are a highly performing leader with over five years of experience managing a global team focused on customer engagement.
• You have over ten years of experience, with a minimum of three years of work with large enterprises or high-value clients in a strategic role.
• Experience in account management or customer success.
• You are comfortable discussing technical concepts and possible solutions that interest the client.
• Willingness to travel up to 25% of the time for strategic engagements with clients.
• Attention to detail and ability to resolve complex and interdependent problems.
• Data-driven and exploit data to formulate strategic recommendations.
• You adapt quickly and thrive in a dynamic, growing environment with a focus on deadlines, where flexibility and teamwork are essential.
• You are comfortable working in multiple time zones and the dynamic nature of changing priorities on a daily basis.

Our Recruitment Process:

• You send us your application including your CV.
• After reviewing your application, we invite you to an online interview via MS Teams with one of our recruitment specialists. This is an ideal opportunity to discuss questions and get to know each other better. For some projects, there may be a second interview with a team lead or operations manager.
• At the end of our process, we hope you will receive an offer and become a new member among our colleagues. Our recruitment process is entirely online and remote. We consider each application and evaluate each person individually. Our recruitment team will contact you again as soon as they can inform you of the status of your application. If you would like to join our team, we encourage you to apply. That's all from us. Now, the ball is in your court! Proficiency in English (communication with clients and global team members), written and spoken.

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You'll play a key role in supporting and managing the sales process from a technical and onboarding perspective within our Sales & Business Development team. Your primary responsibilities will include:

Pre-Sales & Solution Engineering

• Provide technical support throughout the sales cycle, including discovery sessions, product demonstrations, proof of concepts, and trial environments.
• Lead responses to RFPs, RFIs, and RFQs, and deliver compelling technical presentations tailored to customer needs.
• Assist customers with SDK implementations and showcase Helpshift's capabilities through demo applications and custom use cases.

Implementation & Onboarding

• Manage the technical onboarding process end-to-end—from trial setup to go-live—ensuring a seamless and successful customer experience.
• Collaborate with the Adoption and Professional Services teams to design customized workflows and integrations.
• Monitor implementation KPIs to drive early value realization and reduce time-to-productivity for customers.

Customer Success & Enablement

• Maintain high levels of customer satisfaction by managing expectations, addressing technical concerns, and ensuring smooth deployments.
• Act as a product expert in Helpshift's administrative and AI tool suite, including bots and automation features critical to customer support operations.
• Work cross-functionally with Account Management, Operations, and Customer Success to ensure a unified customer journey and maximize retention.

Content & Process Optimization

• Create and maintain internal and external technical documentation, sales enablement materials, and best practices specifically tailored for the Japanese market.
• Identify and implement process improvements in the technical sales cycle that reduce friction and shorten sales timelines.
• Contribute to training programs, knowledge bases, and documentation that enhance internal team efficiency and customer education.

Requirements

• 5+ years of experience in technical sales, product management, implementation, or technical account management roles, preferably in the SaaS, mobile app, or cloud technology space
• Strong understanding of SDKs, APIs, and modern cloud computing platforms
• Demonstrated experience managing the end-to-end onboarding process—from discovery to go-live—with both enterprise and SMB clients
• Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience)
• Hands-on implementation experience, with a focus on CRM platforms, user experience (UX) design, and customer-facing applications
• Excellent written and verbal communication skills in both Japanese and English, with the ability to communicate technical concepts to varied audiences
• Comfortable responding to RFPs, RFIs, and RFQs, and delivering client-facing technical presentations
• Experience working in cross-functional teams, collaborating with sales, customer success, and product teams to drive customer outcomes
• Strong documentation and process optimization skills, with the ability to develop best practices and technical sales materials for both internal and external use
• Proficiency in tools such as Google Workspace, Salesforce, Microsoft Outlook, Word, Excel, and PowerPoint
• Willingness to travel within Japan to support client engagements and on-site implementations

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Responsibilities:

• Develop Infrastructure-as-Code using Terraform, CDK, or Pulumi
• Develop CI/CD pipelines for Cloud Deployments
• Develop custom automation using Lambda Functions or Azure functions
• Manage code repositories and perform peer code reviews
• Maintain code hygiene and write test cases for solutions
• Mentor and train junior engineers in your pod
• Work side-by-side with customers to design, diagram, and document complex integrations
• Establish partnerships and strategic relationships with contacts at our biggest brands
• Analyse and audit existing Helpshift implementations to make improvements
• Become an expert at using Helpshift's administrative tools
• Work collaboratively with Account Managers, Customer Success Managers, and Sales teams
• Continually optimise the overall development process

Requirements:

• 3 years of SaaS experience in a specialization such as consulting services, technical pre-sales, or solution engineering
• Proven experience translating ambiguous customer requirements into actionable technical solutions
• Proficiency with Python, Go, C#, Node.js, or Powershell
• Proficiency with deploying cloud solutions on AWS or Azure
• Familiarity with technical SaaS concepts such as SDKs, APIs, and cloud computing
• Exceptional organisational skills and a project management mindset
• Understanding of Object-Oriented Programming concepts
• Excellent communication skills and ability to lead meetings with customer executives and analysts
• Proficiency in G-Suite and ability to perform data analysis tasks
• Curiosity about complex systems and natural problem-solving skills

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in Pune

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Responsibilities:

• Understand no code automation concepts and CI/CD pipelines for Cloud Deployments
• Develop no code automation / Logic Apps (Lambda Functions/ Azure functions)
• Understand programming languages such as Python, JavaScript, bash, powershell, C#
• Managing code repositories and performing peer code reviews
• Ability to maintain the code hygiene and writing test cases for the solutions
• Assist with proof of concepts for strategic and enterprise customers
• Work side-by-side with our technical account managers to design, build, and deploy complex integrations for our customers
• Establish partnerships and strategic relationships with contacts at our biggest brands
• Time management is critical and should be able to manage multiple tasks/projects simultaneously
• Analyze and audit existing Helpshift implementations for the purpose of making improvements
• Become an expert at using Helpshift’s administrative tools which include a suite of AI products, bots, and other mission-critical support functions
• Work collaboratively with Account Managers, Technical Account Managers, Customer Success Managers, and Sales to ensure customers’ overall success with the product
• Collaborate with project managers to ensure sprint planning is completed on time and project deliverables are trackable in JIRA
• Continually optimize the overall implementation processes with improvements to documentation, trainings, demos and other customer-facing content

Requirements:

• You have a minimum of 4 years of SaaS experience in a specialization such as consulting services, technical pre-sales or technical project management
• You are proficient with any of: Python, Go, C#, Node.js, Powershell
• You are proficient with deploying cloud solutions on AWS or Azure (preferred)
• You are familiar with technical SaaS concepts such as SDKs, APIs and cloud computing
• You are exceptionally organized and a project manager at heart
• You value performing tasks as efficiently as possible and you dislike seeing mistakes repeated
• You have excellent communication skills and are comfortable leading meetings with customer executives and analysts alike
• You are proficient in the entire G-Suite and can perform data analysis tasks including generating pivot tables and writing complex formulas in Sheets/Excel
• You are curious about complex systems and a natural problem solver
• Bonus points for previous experience in a support role or call centre Benefits:
• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in Pune Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status

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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 role:

We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential.

Responsibilities:

• Architect and implement cutting-edge Android applications
• Develop novel solutions leveraging AI technologies
• Optimise performance at all levels of the mobile stack
• Champion best practices in mobile development
• Obsessive attention to detail and app experience
• Contribute to backend systems as needed

You might be a good fit if you have:

• 7+ years of Android development experience and proficiency with latest mobile platform capabilities/intricacies, including
• Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem
• Practical experience with full-stack development and comfort working with backend technologies
• 0 to 1 experience building successful products in early stage environments
• A proven track record of shipping impactful, high-adoption mobile applications
• Experience building applications that utilise modern ML/AI technology
• Excellent communication and mentorship skills
• Thrive in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates

Strong candidates may have:

• 3D graphics, visual effects, and audio and video streaming on mobile
• A vision for the future of human-machine interaction and a drive to make that vision a reality

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 at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Interested in building the future of AI? Apply now!

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As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organisations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities:

• Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Korean enterprise customers

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

• Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Native or business-level fluency in Korean and professional proficiency in English

• Experience working with Korean enterprise customers and understanding local business culture and decision-making processes

• Experience with the unique technical requirements and technical procurement process of enterprise tech companies

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry

• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• Make ambiguous problems clear and identify core principles that can translate across scenarios

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

• Stay up-to-date and informed by taking an active interest in emerging research and industry trends

• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

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Location

Tokyo, Japan

Employment Type

Full time

Department

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

● Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

● Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

● Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

● Identify and validate use cases by embedding with customer teams to understand workflows and pain points

● Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

● Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

● Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

● Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

● Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

● Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

● Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

● Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

● 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

● Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

● Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms

● Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

● Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

● Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

● Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

● Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

● Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs

● Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, techn

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AI Success Engineer - NYC

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $240K • 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

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in NYC (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors,

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $162K – $240K • 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.

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and co

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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.

XML job scraping automation by YubHub

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Compensation

• $162K – $230K • 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.

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain mo

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About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We’re seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you’ll build and maintain custom SONiC NOS images from scratch, working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers.

You will validate, configure, and optimize switch platforms used across our high-bandwidth cluster fabric, ensuring performance, reliability, availability, and seamless integration with fleet automation. You’ll collaborate with hardware and systems teams and guide vendors to meet stringent technical expectations.

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:

• Design, develop, and maintain custom SONiC NOS images for large-scale bleeding-edge AI fabrics.

• Integrate and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers.

• Bring up new switch platforms (thermal/fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, etc.).

• Extend and customize SONiC services for routing, telemetry, control-plane state, and distributed automation.

• Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines.

• Evaluate switch silicon SDK releases, track vendor deliverables, and define platform requirements with vendors and ASIC partners.

• Debug complex issues spanning kernel, platform drivers, SONiC dockers, routing agents, orchestration services, hardware signals, and network topology.

• Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows.

• Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet.

• Support factory bring-up and qualification all the way through mass deployment.

• Collaborate, architect, implement, and deploy novel networking protocols and technologies to achieve maximum performance and reliability at AI factory scale.

You might thrive in this role if you:

• Proven experience working with SONiC or comparable NOS stacks (FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, etc.).

• Experience with updating OpenConfig gNMI interfaces and YANG data models.

• Strong background in Linux kernel, network device drivers, and low-level OS internals.

• Experience integrating Broadcom / Marvell / NVIDIA / Intel ASIC SDKs and SAI implementations.

• Proficiency in C, C++ and Python; familiarity with Rust/Go is a plus.

• Deep understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry.

• Hands-on experience with hardware platform bring-up and board-level debugging.

• Familiarity with CI/CD pipelines, distributed config/state management, and large-scale automation.

• Strong cross-functional problem solving in high-performance, distributed environments.

• Ability to lead teams to deliver a project end to end.

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Full-Stack Engineer, ChatGPT Ecosystem (Apps Platform & SDK)

Location

San Francisco; New York City; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $185K – $490K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

Ecosystem is one of our major bets this year to turn ChatGPT into a true super-assistant. We’re building the platform that millions of developers (and eventually end-users) will use to make ChatGPT infinitely more useful—through powerful tooling, SDKs, and platform capabilities that enable an ecosystem of ChatGPT Apps.

About the Role

We’re looking for a Full Stack Software Engineer who enjoys blending front-end and back-end work to ship end-to-end features on the ChatGPT Apps platform and SDK. You’ll partner closely with Product, Security, Trust & Safety, Research, and other engineers to deliver high-quality developer experiences and expand what ChatGPT Apps can do.

What You’ll Do

• Build and ship mission-critical features in the ChatGPT Apps SDK and broader platform.

• Collaborate with Product Management, Security, Trust & Safety, Research, and Engineering to design and deliver developer-first experiences.

• Own features end-to-end: from early design and technical direction through implementation, launch, and iteration.

• Build scalable services and APIs, and develop polished UI surfaces that support publishing, discovery, and app capabilities.

• Help set enduring technical direction—shipping foundations that become new product areas over time.

• Contribute to team best practices in testing, architecture, and overall SDLC quality.

You Might Thrive Here If You

• You’re a true full-stack engineer—comfortable moving between frontend and backend to deliver complete features (React/Python are a bonus, not required).

• You’ve built developer tools or platforms (SDKs, integrations like Slack apps, open source libraries, or experience at developer-tooling companies).

• You’re product-oriented and enjoy collaborating with cross-functional partners to shape great user/developer experiences.

• You like shipping quickly without compromising quality, security, or performance.

• You’re excited to build foundational platform capabilities that will scale with a rapidly growing ecosystem.

XML job scraping automation by YubHub

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $293K – $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.

About the Team

OpenAI’s mission is to make AGI beneficial for all of humanity and our mission is successful only if AGI drives _real_ _benefits_ across all industries in the world. Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth.

We build and operate the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI’s technology is delivered with reliability, security, and a world-class user experience.

About the Role

We are looking for an experienced engineering manager to lead our API Experience team. This team is responsible for building out and crafting an exceptional development experience for our API developers. You will be owning the API documentation, SDKs, account experience, and overall development experience that millions of developers use to build on top of OpenAI models – everyone from hobbyist developers to Fortune 500 companies. You will also collaborate closely with research teams to bring the latest cutting-edge models to our API.

In this role, you will:

• Manage and build out a diverse team of high performing full-stack engineers.

• Build an API product that developers love to use.

• Set technical direction for building robust and scalable API products for end developers.

• Collaborate closely with a broad set of stakeholders, including product, design, go-to-market, and other engineering teams.

• Coach and nurture engineers to accelerate their growth and learning.

Requirements

You might thrive in this role if you:

• Have 8+ years of experience in software engineering, including 5+ years of experience in engineering management

• Have prior experience building out external facing API products at consumer internet scale

• Take pride in building and operating scalable, reliable products and systems

• Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done

• Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

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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What you'll do

• Serve as the dedicated technical partner for strategic API Platform customers, guiding them through architecture design, integration, and optimization.
• Troubleshoot API performance, grounding quality, and integration challenges—diving directly into code and logs when needed.
• Prototype example integrations, search workflows, and demos to accelerate adoption and inspire customer innovation.
• Collaborate with Engineering and Product to resolve high-priority escalations, ensuring minimal downtime and maximum reliability.
• Capture and synthesize customer feedback to improve API features, SDKs, and developer experience.

What you need

• 5+ years in technical support engineering, software engineering, or solutions engineering, with direct application development experience.
• Strong API integration skills—able to design and debug REST/JSON payloads, manage auth flows, and optimize latency.
• Proven track record of diagnosing complex technical issues across distributed systems, APIs, and customer environments.
• Excellent communicator who can work with both developer teams and non-technical stakeholders.
• Bachelor's degree in Computer Science or equivalent hands-on experience.

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What you'll do

You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale.

What you need

• 3-5 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the Middle East region

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