Key Responsibilities: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership. Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. Foster a culture of speed, unity of purpose, resilience, and teamwork.

Requirements: 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. Proficient in one or more modern programming languages (Python, JavaScript/TypeScript). Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Strong product and business sense, with a track record of aligning engineering efforts with company goals. Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. Experience in executive level engagement with industry partners and Public Sector customers

Success Metrics: Within 6 months: Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations Establish Scale AI as the preferred agentic AI partner for the PEO Establish high velocity, agile engineering cadence both internally and with our industry partners

Within 12–18 months: Secure follow-on contract award with expanded scope for Scale Position Scale AI as the global AI leader in this mission area Establish developed solutions as Scale product offerings to deliver on future contracts

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Your responsibilities will include:

• Defining next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
• Driving the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Directly mentoring software engineers ranging from new grads to experienced engineers.
• Proactively identifying opportunities and driving improvements to software development practices, processes, tools, and languages.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
• Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
• A track record of independent ownership of successful engineering projects.
• Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
• Experience with modern web frameworks like NodeJS, NextJS, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

This role may be eligible for additional benefits such as a commuter stipend.

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As an Engineering Manager, you will:

Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers. Work across the entire product lifecycle from conceptualization through production. Build features end-to-end, system design, debugging and testing. Deliver experiments at a high velocity and level of quality to engage our customers. Influence the culture, values, and processes of a growing engineering team. Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences.

Ideally, you'd have: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred. Proven success in leading, managing, and developing high-performing Engineering teams. Expertise in identifying product engagement patterns and trends for large scale consumer products. Track record of shipping high-quality products and features at scale. Desire to work in a very fast-paced environment. Ability to turn business and product ideas into engineering solutions. Excellent problem-solving skills, and be able to work independently or as part of a team.

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Identity is the key to unlocking the potential of AI. Auth0 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.

Software Architect, Identity

The Engineering Architect Team

The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organisation in collaboration with Engineering, Product, and Security. We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives. We have a dual-pronged charter to “level up the tech stack and level up the people stack” via both technical contributions and partnerships/mentoring.

In this role, you will have the opportunity to significantly contribute to Auth0’s future technology direction. Through your experience, knowledge of industry trends, and technical abilities you will provide guidance, build proof of concepts, and deliver production software implementations that help Auth0 Engineering teams move faster by using and developing standard patterns and technologies. You will also help advance the engineering culture and help uplevel other engineers. Note that while this role involves a lot of guidance, documentation, and leadership, it also requires substantial hands-on coding and development of both applications and systems.

What you’ll be doing

• Collaborate with Product, Security, and Engineering teams to define and continually improve Auth0’s technology stack and architecture.

• Foster and lead innovation in the IAM space, with a strong focus on Agentic Identity

• Lead initiatives to enhance, scale, and evolve Auth0’s product offerings.

• Embed within Engineering teams across the organisation for large projects, while providing guidance and lighter touch engagements for smaller initiatives.

• Design, architect, and document large scale distributed systems.

• Lead the development of complex, broadly-scoped functionality in a very large and deep set of services and components.

• Teach by doing: coding, optimising, and troubleshooting Node.js and Go applications in collaboration with feature development teams.

• Implement features and create consistent foundations using technologies such as AWS, Azure, Node.js, Go, MongoDB, Redis, PostgreSQL, Kubernetes.

• Investigate, understand, and resolve bottlenecks in our ability to scale, use resources efficiently, and maintain a 99.99% uptime SLA.

• Drive technical decision making while striving to find the right balance between factors such as simplicity, flexibility, reliability, cost, and performance.

• Participate in “round table” discussions and mentor team members and engineers throughout the organisation to level up our people.

• Participate in our Engineering Leadership Team with other architects, directors, and executives.

• You will join our Incident Commander on-call rotation. Members of our team do periodic on-call rotation for high-severity incidents to help up-level our responses After spending time getting acquainted with our applications, systems, and processes, and getting training to

What you’ll bring to the role

• 10+ years of software development experience.

• 5+ years of experience working on cloud applications.

• Experience with API-first applications using REST and/or gRPC

• Passion and thorough understanding of what it takes to build and operate secure, reliable systems at scale.

• Knowledge of Identity Protocols such as OAuth, OIDC and SAML.

• Industry knowledge of the Authorization and Authentication spaces.

• Experience in building AI Agents, and/or MCP servers applications.

• Experience with security engineering and application security.

• Very strong written and verbal communication skills with a demonstrated ability to adjust your communication style to the intended audience, whether communicating with senior executives, customers, engineers, or product managers.

• Mastery and deep understanding of hands-on software development building distributed systems.

• Experience with multi-cloud environments and container deployments, particularly Kubernetes in AWS/Azure.

• Prior experience with application performance management, tracing, and performance testing tools.

• Excellence at creating clarity and alignment for technical initiatives.

• Great ability to build trust through collaboration with multiple teams and get consensus on a vision.

• Knowledge of application security and cloud security best practices.

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

• Deep experience in Node.js (Javascript or Typescript), or Golang.

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

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

About the Internship Program

As a Business Operations intern on the Finance BizOps Team, you will:

• Build workflows to streamline existing processes and address existing pain points. You will lead the project scoping, solution design and code execution to achieve the defined objectives.
• Design, build, and support data or insight solutions that help incubate new data capabilities or programs. Example projects: commission forecast modelling, product margin analysis
• Create applications and internal tools that can be used by the broader FP&A and BizOps team to elevate everyone's game
• Prototype leveraging latest AI technologies incl. Cloudflare Platform, emerging best practices to illustrate what can be possible in how we work
• Work in sprints to achieve critical milestones and update your progress through daily asynchronous updates.

Requirements

• Currently pursuing a Bachelor's or Master's or program in Business Analytics, Data Science, Computer Science, or a related field.
• Passionate about solving business problems or challenges using technology
• Are curious, proactive, and self-directed, have a natural drive to explore new technologies and a 'figure it out' mindset.
• Can write working code in Python, JavaScript, or a similar language and have shipped something independently or as part of hackathon project, open source contribution, or a previous internship
• Communication: Ability to distill complex business or technical requirements into clear actionable insights. Can explain what you built and why, to a technical or non-technical audience.
• Technical Curiosity: Experience using LLM interfaces (such as Gemini) and prompt engineering, paired with a strong interest in the emerging field of AI agents.
• Nice to have: Have used any part of the Cloudflare developer platform: Workers, R2, Pages, or anything similar.
• Ability to commit to a minimum 12 week summer internship from May to August 2026.
• In office 2-3 days a week

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You will play an active part in shaping product features based on what's technically possible. Furthermore, you will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience:

• A minimum of 3 years experience in software development, with a strong focus on JavaScript, TypeScript and React;
• Bachelor's degree in Computer Science, Engineering, or a related field;
• Experience with frontend frameworks and tooling;
• Good understanding of HTML, CSS and how to work with product design teams;
• Good understanding of how browsers work and their underlying technologies;
• Solid understanding of systems engineering principles and best practices;
• Experience with version control systems such as Git;
• Strong problem-solving skills and attention to detail;
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment;
• Passion for learning and exploring new technologies;
• Creative thinker with the ability to propose innovative solutions to complex problems;
• An operational mindset - we don't just write code, we also own it in production;

Bonus Points:

• Previous experience working in an Agile environment;
• Experience building high performance distributed systems;
• Understanding of the web and its underlying protocol stack, such as HTTP;
• Familiar with AI, AI agents, and related technologies and standards;
• Contributions to large open source projects.

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

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This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ.

Responsibilities

• AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring.

• Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.

• Kubernetes Infrastructure: Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security; execute cluster-level tasks and updates with minimal support, and leverage AI for anomaly detection, capacity recommendations, and automated remediation.

• Developer Experience: Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions, helping teams move from idea to production with minimal friction.

• Observability & Excellence: Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs to improve system reliability.

• Platform Development: Develop platform services using industry best practices that enable operational excellence for Data, CI/CD, and Security.

• Service Standardization: Maintain service scaffolds and templates that encode testing and telemetry standards, ensure alignment with platform baselines, and use AI to auto-generate and validate configurations against them.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.

• Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks (e.g., LLM-powered runbook agents, intelligent CI/CD bots, self-service assistants with tool-use/function-calling).

• Track record of automating away repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI-driven automation that let a team do more with fewer resources.

• Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems.

• Strong coding skills in Go and/or Python, treating infrastructure as software.

• Excellent communication skills; able to clearly convey technical issues and advocate for both the team's and the customer's needs.

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.

• Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, 'can an AI agent do this instead of a human?'

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You will define how agents are sourced, built, evaluated, and scaled,whether developed in-house or with external vendors. This role requires close collaboration with business leaders, engineering, and IT to deliver agents that integrate deeply with enterprise systems and drive measurable business outcomes.

Key responsibilities include:

• Identifying high-impact use cases and designing and launching AI agents
• Defining and owning product roadmaps with measurable outcomes
• Collaborating with business leaders, engineering, and IT to deliver agents that integrate deeply with enterprise systems
• Continuously iterating based on data and user feedback

Requirements include:

• 5-8 years of product management or closely related experience, including hands-on work with AI-, ML-, or automation-powered products
• Proven experience taking AI or data-driven products from concept to launch and driving adoption across multiple teams or functions
• Working knowledge of GenAI concepts (LLMs, embeddings, retrieval, prompt design, evaluation) and experience with AI platforms and APIs such as OpenAI, Gemini, Cohere, Glean, Perplexity, or similar
• Experience defining and owning product roadmaps with measurable outcomes (e.g., time saved, risk reduced, decision quality improved)
• Demonstrated ability to design and run experimentation frameworks, pilots, and A/B tests, using data to inform scale, iteration, or retirement decisions

Preferred qualifications include:

• Experience building or scaling internal copilots or AI agents in an enterprise environment
• Exposure to AI compliance, security, governance, and human-in-the-loop supervision models

If you're a curious and experienced product manager looking to join a dynamic team, please apply!

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You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Some of the key responsibilities of this role include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.

We're looking for someone with a strong aptitude and familiarity working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth, is also essential.

Some of the key requirements for this role include:

• Strong knowledge of Big Data Analytics and experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms).
• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).
• Experience diving deeper into solution architecture and Data Engineering.
• Coding expertise in a core programming language (i.e., Python, Java, Scala).
• A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role.

This will be an office-based contract (Amsterdam), with a hybrid schedule. An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.

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The ideal candidate will have deep knowledge of current privacy and technology trends, with a strong passion for data governance/management and AI/ML. They will have demonstrated experience in ensuring privacy-by-design principles are applied throughout the design, construction, and operation of digital products and services at scale.

Responsibilities include leading high-impact initiatives and defining technical requirements for compliance and the responsible use of technology at Airbnb. The candidate will work closely with the Chief Privacy Officer, Legal, and other Privacy & Data Security Team members, as well as engineering and data science teams.

Key responsibilities include:

• Collaborating with technical teams in the identification and effective management of company-wide risks to privacy and the responsible use of technology
• Leading definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with privacy and AI regulations
• Working with Legal, Data Science, Data Governance, and InfoSec to introduce Privacy by Design principles in company products and infrastructure
• Creating privacy training for technical roles, including data engineers, developers, and data scientists

Requirements include:

• 15+ years of total experience, with 5+ years of experience in technical program/project management or privacy engineering focused on building technology products and/or systems
• Deep understanding of large-scale, “Big Data” data stores and technologies
• Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment
• Solid understanding of Large Language Models (LLMs), Generative AI and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services
• Strong familiarity with Privacy Enhancing Technologies (PETs), such as various types of encryption, de-identification methods (e.g., k-anonymity, differential privacy), and AI/ML interpretability techniques (e.g., SHAP, LIME)

Preferred qualifications include:

• Professional certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or AI Governance Professional (AIGP) or equivalent
• BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a related field
• Experience with programming languages and tools commonly used in AI, such as R, Python and Github

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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Marketing Operations Manager, Americas

About the Role

We are looking for a Marketing Operations Program Manager to own and drive critical operational programs across campaign execution, prospect data management, and marketing process improvement.

This role sits at the intersection of marketing technology, data operations, and program management , and requires someone who can move fluidly between strategic planning and hands-on execution.

Responsibilities

• Embed within the regional marketing team to deeply understand and represent market nuances, and be the primary representative for Marketing Operations initiatives
• Serve as the process owner for campaign execution workflows across email, landing pages, and paid media, supporting Growth, Lifecycle, and Global Campaigns marketing teams
• Consult on best practices in Marketo, with a focus on automation, scalability, and operational design; design complex nurture and trigger campaigns and standardize them for broader use
• Lead programs to address recurring operational challenges; define objectives, success metrics, and build repeatable processes that scale
• Serve as a technical bridge between regional marketing, product, and engineering teams to scope business requirements, coordinate discovery, and translate operational needs into product requirements for internal tooling
• Drive regional performance transparency by analyzing pipeline health and marketing database trends; proactively identify and unblock operational friction through collaboration with cross-functional teams
• Accelerate review cycles, pilots, and feedback collection during program execution; summarize required changes, identify launch-blocking issues, and escalate risks as needed
• Drive ongoing improvements in marketing operations through process innovation, automation, and the adoption of AI-powered tools to increase productivity and transform workflows
• Maintain scalable documentation and support coordination with offshore production teams and cross-functional partners across time zones

Requirements

• 6+ years of experience in B2B marketing operations, campaign management, or a related program management role within a high-growth technology environment
• 3+ years of experience working day-to-day with marketing automation platforms, CRM platforms, prospect data, and lead management
• 3+ years of experience in end-to-end program management of cross-functional marketing, sales, and engineering initiatives
• Experience building AI agents, including examples of agents you have deployed and examples of ways you are using AI on a daily basis beyond chat
• 3+ years of experience doing your own analysis using queries, dashboards, and AI and partnering with analysts and data scientists for more complex analytics needs
• 3+ years of experience defining your own scope and goals and collaborating with a distributed, global team to deliver on them
• Excellent written and verbal communication skills, including the ability to convey complex operational concepts to diverse stakeholders across marketing, sales, and engineering

Preferred Qualifications

• Experience managing prospect or marketing database programs, including data enrichment, hygiene, and growth using first-party and third-party data sources
• 3+ years of experience with Salesforce, including lead and contact management, campaign attribution, and marketing-to-sales data flows
• 3+ years of experience with Marketo audience and campaign design and production
• Experience selecting and managing third-party data providers for B2B contact enrichment and prospecting
• Experience implementing AI tools to improve marketing operations workflows and productivity
• Experience working with global teams on a day-to-day basis
• Knowledge of data privacy and compliance frameworks as they relate to prospect data acquisition and marketing database management
• Experience in the financial services, payments, or B2B software industries

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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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In this role, you'll work closely with frontend engineers, Product, UX, and Security to create reliable, scalable systems that support both technical and non-technical users across GitLab's planning experience. As part of GitLab's AI-first culture, you'll also use the Duo Agent Platform in your daily workflow to improve productivity and support faster iteration.

Some examples of our projects:

• Building AI agents such as the planner agent to support planning and knowledge management workflows
• Architecting MCP integrations that expose GitLab GraphQL APIs to external AI tools and platforms

As a senior engineer, you'll lead backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab. You'll design and build AI agents that support planning and knowledge management workflows. You'll also architect MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools.

Key responsibilities include:

• Leading backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab
• Designing and building AI agents that support planning and knowledge management workflows
• Architecting MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools
• Driving improvements in reliability and performance across application code, PostgreSQL queries, Redis usage, and background jobs
• Developing and evolving GraphQL APIs that are clear for frontend engineers and support scalable product experiences
• Collaborating with frontend engineers, Product, UX, and Security to break down complex work into shippable iterations
• Mentoring engineers through code review, technical discussions, and shared backend best practices
• Supporting incident response and production debugging, then turning learnings into lasting system improvements

Requirements include:

• Strong experience building and maintaining backend applications with Ruby on Rails, including core components such as ActiveRecord and Redis
• Experience designing and supporting GraphQL APIs with attention to usability, maintainability, and performance
• Knowledge of PostgreSQL query design, optimization, and scaling in high-traffic production systems
• Experience building or integrating AI agents, intelligent workflows, or related platform capabilities
• Familiarity with Model Context Protocol (MCP) or similar patterns for connecting APIs to external tools and platforms
• Ability to investigate production issues, debug complex systems, and improve reliability over time
• Experience leading technical decisions, mentoring engineers, and contributing to engineering standards across a team
• Clear communication and cross-functional collaboration skills, with openness to candidates who bring transferable experience from adjacent backend or platform work

The Plan: Knowledge group owns core knowledge management experiences in GitLab, including Wiki, Pages, Markdown, and Text Editors, and is expanding those foundations with AI-powered capabilities such as the planner agent and MCP-based integrations. The team includes 6 engineers and works with a Product Manager, Engineering Manager, Product Designer, and Technical Writer.

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Senior Software Engineer, AI Products (India)

Company Overview

Airbnb is a global online marketplace for booking accommodations, with over 5 million hosts and 2 billion guest arrivals.

The Community You Will Join

The Airfam Products team exists to make every Airbnb employee more productive through a unified digital headquarters experience. As part of a 13-person cross-functional team of engineers, designers, researchers, and product managers, you'll work on platforms that serve Airbnb's entire global workforce. Our portfolio includes One Airbnb (the company's internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb's enterprise AI assistant enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done. You'll be joining the AI for Non-Developers workstream, focused on expanding AI productivity tools to all Airbnb employees,building OneChat Agents, deep research capabilities, artifact creation tools, and task automation that make AI accessible to everyone, regardless of technical background.

The Difference You Will Make

As a Senior Software Engineer on the Airfam Products team, you'll be instrumental in building Airbnb's next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire company,every AI feature you ship, every system you architect, and every engineer you mentor will amplify productivity across Airbnb's global workforce. You will:

• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs
• Drive innovation by taking AI prototypes from concept to production at scale
• Shape the future of how Airbnb employees work, collaborate, and discover information

A Typical Day

• Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization
• Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
• Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
• Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices
• Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
• Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
• Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
• Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application
• Balance hands-on technical contributions with technical leadership activities

Your Expertise

• 8+ years of software engineering experience, with significant focus on building production AI/ML systems
• 2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
• Strong proficiency in backend technologies (TypeScript, Go, or Java)
• Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)
• Track record of shipping AI-powered products from prototype to production
• Proven ability to collaborate cross-functionally and influence without authority
• Excellent communication skills with ability to distill complex technical concepts for diverse audiences
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred

• Master's or PhD in Computer Science, Machine Learning, or related field
• Experience building AI agents and multi-agent systems, preferably using Claude
• Experience building integrations using MCP
• Experience with containerization and orchestration (Docker, Kubernetes)
• Background in building enterprise-grade internal tools and developer productivity platforms
• Experience with frontend technologies (React, Next.js) for full-stack AI product development
• Contributions to open-source Gen AI/ML projects or publications at top venues

Your Location

This position is based in Bangalore, India with a hybrid work arrangement. You'll collaborate with teammates across global time zones, with primary alignment to Pacific Time for key meetings.

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. All qualified individuals are encouraged to apply.

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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. We're all in on this mission. If you are too, let's talk.

The Solutions Engineering Team

This is a customer-facing sales role. You must be in the USA. You will be required to travel at least 25% and attend an in-person onboarding session.

The Global Presales organisation at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta's Identity Platform.

By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organisations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

The Senior Identity Specialist Opportunity

Reporting to the Senior Manager, Solutions Engineering, as a Senior Identity Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations. You will educate customers on the best ways to implement Okta customer identity and access management solutions.

What you'll be doing:

Strategic Customer Engagement:

*Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.

*Deliver on emerging trends, industry best practices, and identity-driven digital transformation.

*Assist in preparing executive-level messaging and participate in strategic discussions to align Okta's solutions with customer business outcomes.

*Develop customer-centric points of view that translate Okta's solutions to customer problems.

*Lead deep technical Q&A discovery sessions for prospective customers to uncover their business requirements and communicate the value of solving for those requirements with Okta CIAM solutions.

*Deliver interactive presentations and custom product demonstrations, tailoring communication to all levels of technical and customer identity expertise.

*Whiteboard solution architecture, modelling how Okta's CIAM solution will support their business requirements

*Design, build, and execute well-defined, outcome-focused POCs

*Maintain a broad and deep technical understanding of the Okta customer identity product lines and the underlying technologies and protocols

*Craft engaging solution content to position Okta's value across multiple business units, including software engineering, operations, product management, and business stakeholders

Technical Leadership:

*Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.

*Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.

*Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.

Field Enablement and Collaboration:

*Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.

*Partner with sales leadership to identify and address critical business opportunities and challenges.

*Drive cross-functional collaboration to ensure seamless execution of global initiatives.

*Innovate in tools and techniques to drive excellence and momentum

*Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.

Market Influence:

*Represent Okta as a thought leader in the identity and security space.

*Influence industry standards and participate in relevant technical advisory boards.

Innovation and Strategy:

*Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.

*Support, derive, and champion strategic initiatives that enhance Okta's differentiation and business impact.

What You'll Bring to the Role

*8+ years of experience in a presales or customer-facing role, including at least 3 years experience with CIAM projects

*8+ years of development experience, preferably focused on application integration with identity services

*8+ years of experience working with REST APIs and SDKs

*Experience with customer identity and access management solutions (Okta/Auth0)

*Experience with authentication or authorization protocols (OAuth, OIDC, SAML)

*Ability to communicate complex ideas and solutions, incorporating whiteboarding, practical examples, and product demonstrations

*Demonstrated ability to solve complex technical problems with innovative solutions

*Strong communication and presentation skills, with experience contributing to technical events.

*Ability to effectively operate in a matrixed organisation and manage cross-functional initiatives.

*Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.

*This is a remote position.

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

*Full-stack web application development experience (frontend and backend)

*Mobile (iOS, Android) development

*Demonstrated ability to architect and integrate scalable CIAM solutions, leveraging API-first approaches across web, mobile, and cloud platforms.

*Expertise in AI-driven customer experience integration with Auth0, including AI agents for internal or external use-cases, MCP servers, and Fine-Grained Authorization

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Responsibilities:

• Metrics & Insights: Wrangle large, highly complex datasets using SQL and AI to create actionable insights and become the data expert for your business area.
• Communicate: Create narratives and documents that tell the story of your business area to influence Operations and Enablement team decision making.
• Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams.
• Strategic Initiatives: Own end-to-end delivery of strategic, analytical projects that require scoping, defining metrics / success, and delivering reporting to track program health.
• Planning: Help support in goal setting, strategy and planning rhythms across partner teams.
• AI Enablement: Champion an AI-first way of working within the team , staying current with the latest AI tools (e.g., Claude, Agents), applying these to accelerate your own day-to-day work, and helping to develop and share standardised, safe AI query frameworks (SOT prompts) that the broader Operations organisation can adopt confidently

qualifications:

• 4+ years of prior experience in analytical and strategic roles
• Outstanding analytical ability, expert in SQL, dashboarding, and understanding of data relationships
• Outstanding communication, presentation skills & senior stakeholder management skills
• Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
• Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy

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Typical problems you will deal with include designing efficient and robust environments for AI agents, improving evaluations and observability, onboarding new evaluation datasets, standardizing preprocessing pipelines, and creating data augmentation pipelines.

Responsibilities include creating and maintaining frameworks for agent, data, and model evaluation tasks, building environments for AI agents, tools for automating common workflows, improving alerts, metrics, and error handling on large-scale RL jobs, refactoring existing frameworks for better modularity, and designing operation procedures and coding standards.

Basic qualifications include experience building and maintaining frameworks, building high-performance sandboxes, virtual machines, and simulations, building full-stack apps for automating workflows and data visualization, rapid iteration of research to production cycles, and test automation, CI/CD.

Base salary is $180,000 - $440,000 USD, and our total rewards package 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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This role sits at the intersection of talent development, employee experience, and applied AI innovation. You will join our Talent and Leadership Development team to architect and scale flagship experiences that empower thousands of employees worldwide.

Our Team's Focus Areas

Our team is organized around four core pillars that support every stage of the employee and leadership journey:

• New Bricksters: We design and deliver a high-impact new hire orientation experience that ensures new joiners are engaged, connected to our culture, and equipped with the foundational knowledge needed to succeed.
• Leaders: We equip leaders at all levels with the skills, mindsets, and frameworks needed to accelerate performance. This includes our flagship annual leadership conference - Leadershift.
• High-Potential Talent: We run bespoke programs to support our high-potential talent to advance their careers and prepare them for wider leadership roles.
• All Bricksters (Career & Growth): We enable every Brickster to grow their career at Databricks through programs focused on career navigation and long-term growth.

The Impact You'll Have

• Own and scale one or more flagship talent development programs (e.g., career development, manager enablement, onboarding, or top talent acceleration).
• Design and implement AI-enabled learning experiences, including copilots, assistants, mentoring networks, and personalized learning pathways.
• Evolve programs from event-based learning to continuous, embedded development in the flow of work.
• Partner with HR, business leaders, and technical teams to translate business problems into scalable development solutions.
• Facilitate global programs across functions and regions (e.g., onboarding, leadership development).
• Build and experiment with new approaches to agentic learning , using AI agents, automation, and knowledge systems to support employees, managers, and leaders in real time.
• Leverage data, experimentation, and analytics to understand skills gaps, adoption, and business impact.
• Measure program effectiveness and continuously iterate using product and growth-mindset practices (pilots, testing, and iteration).

About You

• Bachelor’s degree (or equivalent experience) and 5+ years owning global learning, talent, or people programs in fast-paced or scaling organizations.
• Experience building scalable programs (onboarding, manager development, leadership development, or talent acceleration) , not just facilitating workshops.
• Strong systems thinker: you design processes and experiences that work for thousands of employees, not dozens.
• Demonstrated curiosity and practical use of AI tools (e.g., copilots, knowledge assistants, automation workflows, personalization, or analytics) to improve employee or learning experiences.
• Comfortable experimenting and prototyping new solutions with limited resources.
• Highly analytical: you use data to prioritize problems, evaluate effectiveness, and drive adoption.
• Strong stakeholder management and ability to influence senior leaders.
• Clear communicator who can translate business needs into practical, scalable development solutions.
• Experience in technology or high-growth environments strongly preferred.

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.

Zone 1 Pay Range: $156,600-$215,250 USD

Zone 2 Pay Range: $140,900-$193,700 USD

Zone 3 Pay Range: $133,000-$182,950 USD

Zone 4 Pay Range: $125,300-$172,250 USD

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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.

What is the Developer Led Growth (DLG) Team?

At the heart of our mission is a simple goal: to make choosing and integrating authentication a delightful experience for every developer.

We’re the DLG team, essentially Product Led Growth (PLG), but for developers using Auth0. We are a high-impact, multidisciplinary engine that includes Developer Relations, Developer Marketing, our Startup Program, Product Activation and Conversion. We don't just move metrics, we build the journey that turns curious developers into lifelong advocates.

Why This Role?

• Great Visibility: You will provide the analytical backbone for the entire DLG organisation, turning cross-functional data into a unified narrative.

• Autonomy: We trust you to own your domain. This isn't a role for a cog in the machine, you’ll have the freedom to identify opportunities and drive the strategy.

• True Variety: From analysing startup ecosystem trends to optimising conversion funnels, no two weeks will look the same.

• Deep Collaboration: You’ll sit at the intersection of product, marketing, and community, working with stakeholders across the entire company to fuel our growth.

If you’re a curious analyst who thrives in a fast-paced, developer first environment and wants to see their work directly influence how the world’s engineers build, we’d love to meet you.

Responsibilities

• Build and maintain Tableau dashboards and reports related to the DLG business

• Build and maintain DBT models and custom SQL queries to analyse DLG business

• Investigate and understand discrepancies in the data

• Help DLG automate and scale processes, find areas of opportunity for process improvements.

• Analyse A/B experiments and DLG initiatives.

• Collaborate with sales, ops, marketing, finance and product to understand their challenges, dive into the data and share insights that solve business problems.

Qualifications

• +5 years of experience working in data analytics-related fields.

• Bachelor’s degree in math, statistics, computer science, economics or relevant field.

• Strong proficiency in SQL and data modelling: cleaning, modelling and transforming large and complex datasets into usable and trusted models.

• Familiarity with DBT (data build tool), Git and Snowflake data warehouse is preferred.

• Working knowledge of visualisation tools, ideally Tableau, and Google Sheets.

• Ability to analyse data discrepancies and troubleshoot data issues.

• Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights.

• Familiar with AI tooling, e.g. Copilot, Clay.

• Excellent verbal and written communication skills, with the ability to collaborate with cross-functional teams including technical teams (data engineering) and business users (marketing, product, revenue, etc).

• Stakeholder management and prioritisation skills

Nice to have

• PLG experience

• Experience building and working with AI Agents

• Translating complex developer behaviour into product insights

• AB testing experimentation experience

• Revenue modelling and forecasting knowledge

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $114,000-$156,200 USD

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The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the 'brain' and 'memory' for our agentic ecosystem.

As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data.

The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.

• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.

• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.

• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.

• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.

• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.

• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.

• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.

• Minimum 1 year experience building with the Elastic Stack.

• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.

• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.

• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.

• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents).

• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.

• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.

• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.

• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.

• Strong communication skills with the ability to translate business requirements into technical agent architectures.

• A commitment to Ethical AI and responsible development practices.

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices for model deployment and automation.

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As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.
• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.
• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.
• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.
• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.
• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.
• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.
• Minimum 1 year experience building with the Elastic Stack.
• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.
• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.
• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents.)
• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.
• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.
• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.
• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.
• Strong communication skills with the ability to translate business requirements into technical agent architectures.
• A commitment to Ethical AI and responsible development practices.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Knowledge of DevOps practices for model deployment and automation.

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Research Engineer, Information Quality

Summary

At Google DeepMind, our research team is dedicated to tackling the most complex challenges in online information quality. We strive to advance the state of the art by developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse.

Responsibilities

To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build systems and tools to assess the trustworthiness of media (images, audio, and videos) on the internet.

Key responsibilities:

• Plan and perform rapid prototyping of machine learning techniques applied to determining authenticity of media information.
• Undertake exploratory analysis to inform experimentation and research directions.
• Engage with product teams to drive the development of our research.
• Implement tools, libraries, and frameworks to speed up and enable new research.
• Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.
• Collaborate with internal and external scientific domain experts.

Requirements

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

• Master’s degree in Computer Science, Electrical Engineering, Science, or Mathematics, or equivalent experience.
• Applied experience with machine learning, preferably modern deep learning techniques (e.g., Transformers, Diffusion, LLMs).
• Programming experience.
• Quantitative skills in math and statistics.
• Experience exploring, analysing and visualising data.

Preferred Qualifications

In addition, the following would be an advantage:

• Experience in multimodal learning, including the training and deployment of large-scale models.
• Experience developing AI agents.
• Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations.
• A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.

Benefits

The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.

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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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This role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount.

You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.

Responsibilities:

• Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes.

• Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.

• Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth.

Operational Intelligence & Scalability:

• Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations.

• Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.

Data & Model Optimization:

• Lead fine-tuning and contextual optimization of AI models using Yuno's proprietary data.

• Continuously refine performance through structured feedback loops, observability metrics, and user interaction data.

• Ensure adherence to privacy, compliance, and ethical AI principles in all model development.

Cross-Functional Collaboration & Innovation:

• Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno.

• Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.

• Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.

The skills you need:

• 5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.

• Strong engineering and product mindset, capable of balancing technical depth with strategic impact.

• Exceptional communication and collaboration skills to work across product, engineering, and data functions.

• Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation.

• Willing to work from the Hyderabad office.

Minimum Qualifications:

• LLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.

• AI Agents & Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.

• Fine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.

• Programming & Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX.

• AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.

• Observability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.

• API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.

Preferred Qualifications:

• Experience using LlamaIndex, Hugging Face, or similar open-source frameworks.

• Strong understanding of context optimization, embedding strategies, and knowledge retrieval.

• Familiarity with MLOps, CI/CD pipelines, and production deployment best practices.

• Prior experience in fintech, payments, or other data-intensive and regulated industries.

• Analytical rigor and ability to translate business objectives into measurable AI outcomes.

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When new product ideas are identified, our software engineers are responsible for designing, developing, testing, and deploying the products from the ground up, while continuously iterating with product management and customers for feedback and input.

This position follows the Company’s hybrid schedule which currently requires employees to work in the Durham, NC or Addison, TX office a minimum of three days per week.

Responsibilities:

• Design, develop, and deploy AI Agents and machine learning models to solve complex business problems
• Create and maintain backend systems for LLMs and AI Agents, ensuring high performance and scalability
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
• Optimise and fine-tune models and AI Agents for performance, accuracy, and efficiency
• Implement and manage CI/CD pipelines for AI model and AI Agent deployment
• Monitor and troubleshoot AI systems in production, ensuring reliability and robustness
• Stay updated with the latest advancements in AI, machine learning, AI Agents, and related technologies

Requirements:

• Education: Bachelor's degree or equivalent experience grown
• CS Degree preferred
• Experience: 3+ years of professional experience
• Proven experience as an AI Developer, AI Engineer, or similar role
• Expert knowledge of at least one of Golang (preferred), Python or Java and experience with Kubernetes
• Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
• Experience with LLMs, AI Agents, and natural language processing (NLP) techniques
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerisation technologies
• Demonstrates sound judgment for balancing between rapid development, and long-term code maintainability and supportability
• Communicates effectively, both technically and non-technically, as well as in written and oral forms
• Believes in the power of and the need for writing automated tests as part of development
• Skilled debugger who can put out fires under pressure when things go wrong in production environments
• Has knowledge of a variety of modern software frameworks (server side & browser side) and the versatility to learn new tools
• Detail-oriented and passionate for creating an awesome user experience

Benefits:

• Annual base salary range: $100,000 - $295,000
• Equity awards
• Generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits

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The Security Engineering team is responsible for building, scaling, and evolving the core security infrastructure that enables Plaid's product engineering teams to ship securely and at speed. We own the secure paved roads across encryption, authN/authZ, CI/CD, data, and network security surfaces, abstracting away security complexity so developers can build at velocity with confidence.

As the Engineering Manager for Security Engineering, you will lead a team of security engineers building and operating the foundational capabilities that underpin secure development across Plaid. You will partner closely with the CISO and cross-functional engineering leaders to define and drive the roadmap for our platform capabilities, while ensuring our paved roads are reliable, well-adopted, and continuously maturing.

Responsibilities:

• Lead, mentor, and grow a team of security engineers, fostering a high-performance, collaborative, and psychologically safe team culture
• Own the technical roadmap and strategic direction for Plaid's core security capabilities across encryption, authN/authZ, CI/CD, data, and network security surfaces to secure Plaid’s AI and MCP ecosystem (internal and external MCP integrations).
• Partner with product and platform engineering teams to deeply understand their needs, and deliver self-service security infrastructure that scales across teams at varying levels of security maturity.
• Partner with Data Foundation and AI teams to build secure paved roads for agentic identities and workflows (AI agents, MCP clients, service identities)
• Drive measurable improvement in secure-by-default adoption across Plaid's engineering organization, leading with influence rather than authority
• Make pragmatic, risk-based security decisions and tradeoffs that are consistent with product roadmaps and business objectives
• Represent the team's work and security posture clearly to Staff-level leaders including the CISO, CTO, and COO
• Actively build team stability and strong team dynamics, playing a significant role in hiring, onboarding, growing, and retaining security engineering talent

Qualifications:

• 8–14 years of overall software engineering experience, with ~6+ years of that in engineering management roles
• Strong technical background in software engineering, with the ability to understand, evaluate, and guide work on auth systems, encryption, identity/access services, and related security domains in an AWS and K8s environment
• Experience managing engineers in a security, platform, or infrastructure context
• Experience designing and securing AI/ML/Agentic platforms (tool-calling, MCPs, and service identities)
• Familiarity with AI security and governance risks and control designs that preserve developer velocity.
• Proven track record building scalable platform capabilities and paved roads used broadly across a product focused engineering organization
• Ability to architect security capabilities and controls with developer experience principles in mind
• Strong cross-functional relationship-building skills, operating effectively as both a technical advisor and a delivery partner to product engineering teams
• High-empathy communication skills, with the ability to represent technical work to senior leadership
• Internal customer focus, with the ability to drive security maturity gains through influence rather than authority
• Experience at a fintech or high-technology organization adjacent to payments or financial services
• Hands-on experience building user and service authN/authZ capabilities, encryption/secrets management services, or internal identity management capabilities at scale at an AWS and K8s environment

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. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

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Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This team is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

As a Staff Backend Engineer, you will lead the architecture and technical direction of Cresta’s AI Agent integration platform. You will define how our AI Agents connect to, operate within, and scale across complex enterprise ecosystems.

Responsibilities:

• Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms
• Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation
• Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience
• Define integration strategies for voice, chat, messaging, routing, and agent desktop APIs across enterprise platforms
• Drive system design for high availability, low latency, and fault tolerance in real-time environments
• Set standards for observability, monitoring, incident response, and operational excellence
• Partner closely with ML engineers to operationalize AI Agent capabilities into production-grade systems
• Influence technical roadmap and prioritization in collaboration with engineering leadership
• Mentor senior engineers and raise the bar for backend engineering excellence across the organization
• Lead complex cross-team technical initiatives from design through production rollout

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field
• 8+ years of experience building scalable backend systems in production environments
• Demonstrated experience leading architecture for large-scale distributed systems
• Deep expertise in API design (REST, gRPC) and service-oriented architectures
• Strong understanding of real-time communication systems and low-latency system design
• Experience designing integrations with third-party enterprise platforms and APIs
• Proven track record of driving technical direction across teams
• Experience with containerized environments (Kubernetes, Docker)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Strong expertise in reliability engineering, observability, and enterprise-grade security
• Experience with CCaaS platforms, contact center systems, or real-time communications is highly valued
• Familiarity with AI Agents, LLM-based systems, or AI orchestration platforms is a strong plus

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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This role reports to the VP of Product Marketing and will play a critical role in shaping how Cresta positions, sells, and grows in one of our most strategic verticals.

Responsibilities:

• You'll own the development and continuous refinement of Cresta's positioning and messaging for the Travel & Hospitality industry, translating our platform capabilities into clear, differentiated industry narratives that resonate with buyers, operators, and executives.
• You'll help establish Cresta as a thought leader in the Travel & Hospitality industry, shaping the market conversation around the future of AI-powered customer experience through strategic content, industry events, analyst engagement, and customer storytelling.
• You'll develop and maintain deep buyer personas, advancing our internal understanding of Travel & Hospitality-specific pain points, priorities, and decision dynamics to ensure our messaging drives relevance and confidence in deals.
• You'll partner closely across product, sales, solutions, and marketing, serving as the connective tissue to build and execute Travel & Hospitality-specific go-to-market strategies that accelerate pipeline and revenue growth.
• You'll bring new product capabilities and innovations to market through a Travel & Hospitality lens, leading vertical launches and creating the sales enablement and supporting materials needed to drive adoption and impact.
• Your deep understanding of what drives our wins and losses across the Travel & Hospitality industry will help you provide a data-driven point of view to influence product roadmap priorities, sharpen our positioning, and optimize our vertical strategy over time.

Qualifications:

• Bachelor's degree in Marketing, Business Administration, a related technical field or equivalent practical experience.
• At least 7 years of product marketing or solutions marketing experience, with deep domain knowledge of the Travel & Hospitality industry.
• Experience managing cross-functional or cross-team projects.
• Excellent communication skills and comfortable presenting in executive-level settings.
• Excellent research skills and experience producing data-driven market analysis.

Preferred Qualifications:

• Experience in software categories related to contact centers, customer experience and AI Agents.
• Experience in hypergrowth scale-ups.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family.
• Flexible PTO to take the time you need, when you need it.
• Paid parental leave for all new parents welcoming a new child.
• Retirement savings plan to help you plan for the future.
• Remote work setup budget to help you create a productive home office.
• Monthly wellness and communication stipend to keep you connected and balanced.
• In-office meal program and commuter benefits provided for onsite employees.

Compensation at Cresta:

• Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people.
• We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
• Final offers are shaped by factors like experience, skills, education, and geography.
• In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $150,000 - 200,000 + Equity

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As a key member of our product marketing team, you will be responsible for developing and refining Cresta's industry-specific narratives, establishing the company as a thought leader, and driving relevance and confidence in deals.

Key responsibilities include:

• Developing and maintaining deep buyer personas to advance our internal understanding of Insurance-specific pain points, priorities, and decision dynamics
• Partnering closely across product, sales, solutions, and marketing to build and execute Insurance-specific go-to-market strategies
• Bringing new product capabilities and innovations to market through an Insurance lens
• Providing a data-driven point of view to influence product roadmap priorities, sharpen our positioning, and optimize our vertical strategy

We're looking for someone who loves to move fast, get their hands dirty, and solve open-ended problems, balancing strategic thinking with hands-on execution to help Cresta win in the Insurance industry.

Qualifications include:

• Bachelor's degree in Marketing, Business Administration, or a related technical field
• At least 7 years of product marketing or solutions marketing experience, with deep domain knowledge of the Insurance industry
• Experience managing cross-functional or cross-team projects
• Excellent communication skills and comfortable presenting in executive-level settings

Preferred qualifications include experience in software categories related to contact centers, customer experience, and AI agents, as well as experience in hypergrowth scale-ups.

We offer a comprehensive and people-first benefits package to support you at work and in life, including comprehensive medical, dental, and vision coverage, flexible PTO, paid parental leave, retirement savings plan, remote work setup budget, monthly wellness and communication stipend, in-office meal program, and commuter benefits.

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We are seeking a highly motivated and innovative Research Scientist to join our team in Bangalore, focused on advancing the state-of-the-art in autonomous agents through reinforcement learning and ML optimization methods.

As a Research Scientist at Google DeepMind, you will conduct cutting-edge research on large language models (LLMs), focusing on the development of more capable, robust autonomous agents.

Key Responsibilities:

• Design, implement and evaluate models, agents and software prototypes of large foundational models.
• Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous agents.
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About You:

• You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI.
• You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.
• You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.

Requirements:

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier machine learning conferences or journals.
• Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

Preferred Qualifications:

• Experience with multimodal learning, large language models, and/or assistive AI agents.
• Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.
• Familiarity with large-scale model training and deployment.
• Strong programming skills in Python or similar languages.
• Excellent communication and collaboration skills.

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Responsibilities:

• Building and iterating on fee explainability experiences that empower users to find answers independently
• Developing agentic systems with strong accuracy guarantees,building evaluation frameworks and ensuring reliability at scale
• Creating performant data aggregations and optimizations to handle complex pricing scenarios
• Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
• Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
• Independently identifying solutions to user pain points and executing against roadmaps
• Mentoring junior engineers and raising the technical bar for the team

Requirements:

• 5+ years of professional experience in a software development role
• Strong coding skills in any programming language
• Ability to drive and lead large-scale initiatives that solve critical business challenges
• Strong collaboration skills across teams and workstreams
• Track record of developing and delivering high-quality software using industry best practices
• Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability

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Your main responsibilities will include engaging with early adopters among AI companies, marketplaces, and developers to understand their needs and challenges in leveraging financial services within agentic workflows. You will also develop a deep understanding of agentic commerce use profiles, including traditional companies exploring AI, marketplaces with monetization needs, personal shopping agents requiring spend/hold/receive functionalities, and developers seeking Stripe integration.

You will articulate Stripe's narrative on agentic commerce and its value proposition to various audiences, demonstrating how Stripe is solving key problems such as automating financial services, monetizing AI agent usage, enabling secure spending by AI agents, and simplifying integration.

You will develop and recommend solutions in partnership with core Account Executives, Solutions Architects, Product, and Product Marketing, tailoring Stripe's offerings to specific agentic commerce use cases.

You will contribute to the development and execution of the go-to-market strategy for Agentic Commerce, help develop AI-specific sales plays, and identify key use cases to drive adoption.

You will engage with strategic partners, particularly with networks like Visa, to explore collaborative opportunities and influence the future of AI-enabled commerce.

You will gather and share user feedback and industry trends to inform Stripe's product strategy and roadmap for Agentic Commerce.

You will collaborate closely with Product Marketing to create educational content and enablement materials for internal teams and potential users.

You will evangelize Stripe's Agentic Commerce position in relevant forums such as EBCs, Sessions, Tours, and contribute to establishing Stripe as a leader in this space.

To be successful in this role, you will need 8+ years of experience in business development, sales, or partnerships within the technology or financial services industry. You will also need a strong understanding of the AI landscape, including LLMs, AI Agents, and their applications, familiarity with payments processing, financial services APIs, and usage-based billing models, proven ability to identify and develop new business opportunities and build strong customer relationships, excellent communication, presentation, and interpersonal skills, and experience working cross-functionally with product, marketing, and sales teams.

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As a Research Scientist at Google DeepMind, you will lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

Key responsibilities include:

• Design, implement and evaluate models, agents and software prototypes of large foundational models.
• Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous agents.
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.

Requirements include:

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier machine learning conferences or journals.
• Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

Preferred qualifications include experience with multimodal learning, large language models, and/or assistive AI agents.

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We're expanding our AI Agents Suite and are looking for an AI Agents Strategist to help drive customer adoption and revenue growth. This is a client-facing, revenue-owning role focused on launching, scaling, and optimizing AI agents for retail and e-commerce customers.

What You'll Do

• Own onboarding and activation for AI Agent customers, partnering closely with Sales, Account Management, Customer Success and Solutions teams.
• Own both the revenue goals and product direction, enabling the training and adoption of client stakeholders to confidently launch and operate AI agents.
• Ensure early, measurable results by connecting agent performance to business outcomes such as conversion rate, AOV, LTV, cost savings, and customer loyalty.
• Act as the strategic and commercial owner for a portfolio of AI agent customers.
• Drive revenue growth through: new customers, existing customers, partnerships, and supporting the right messaging and marketing of the AI Agent solution.
• Analyze agent performance and provide data-driven recommendations to improve results.
• Build strong, long-term client relationships and serve as a trusted advisor on AI strategy.
• Act as the voice of the customer, sharing feedback with Product, Engineering, and GTM teams.

Requirements

• 1-3 years of hands-on experience with AI agents or AI-powered products in a customer-facing environment.
• 3-5+ years of experience in account management, customer success, account strategy, or solutions consulting within AI, SaaS, or data-driven products.
• Proven track record of growing revenue from existing customers.
• Strong analytical skills with the ability to turn data into insights and business cases.
• Excellent communication and presentation skills; comfortable working with both operators and executives.
• Consultative, proactive mindset with comfort operating in a fast-moving, “build from scratch” environment.

Benefits

• Unlimited vacation time
• A 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

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Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy "About Us" text.

For the role details, reuse the same section headings from the original ad (e.g. if the ad says "Responsibilities", use that heading, not "What you'll do"). Match the tone of the original: if formal, stay formal. If casual, stay casual.

Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.

Content that is not directly about the role (long company history, mission statements, investor lists, press quotes) should be paraphrased into a sentence or two at most — the job seeker needs to understand the company, not read its pitch deck.

For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.

Do not invent information that is not in the original ad.

The Role

We're looking for a Founding Product Marketer who will serve as editor-in-chief for all external developer messaging while building the systems and orchestrating the execution that transforms how OpenRouter communicates with developers and customers. This is an IC PMM role with significant Founder and leadership exposure, at the intersection of product marketing and content creation. You ensure that every piece of content that leaves OpenRouter is technically accurate, strategically aligned, and resonates with technical audiences.

You will own the strategy and execution for product launches, model releases, feature announcements, and thought leadership. You'll create the templates, positioning frameworks, and processes that enable founders, engineers, and other builders to communicate authentically and consistently across social media, blog posts, and community channels. This role is about systematizing what works and building the messaging infrastructure that amplifies OpenRouter's technical authority through education, and accessible developer on-ramps.

You will use AI extensively to draft, edit, and prototype content and must have demonstrated experience using AI tools and agents as a part of a high-velocity communications calendar.

What You'll Do

• Serve as Editor-in-Chief: Own editorial quality for all external content—ensuring clarity, consistency, technical accuracy, and strategic alignment across everything OpenRouter publishes.

• Orchestrate and Systematize Content Strategy: Coordinate and enable internal builders and executives to communicate effectively, ensuring coverage of key product launches and a cohesive point of view across all channels.

• Own Product Launch Narratives: Develop positioning and messaging for new features, model integrations, and product releases that establish technical authority and differentiation.

• Build AI-Native Content Systems: Design and manage the "system prompts" for AI-assisted content creation—establishing guardrails, quality standards, and brand guidelines that enable scalable, high-quality output.

• Enable Founder-Led Marketing: Support executives with ghostwriting, content strategy, and messaging guidance for personal accounts on Twitter, LinkedIn, and other platforms.

What We're Looking For

• 5-7 years in product marketing or developer marketing, ideally at a technical platform, API-first company, or developer tool.

• Strong technical fluency with API products, developer workflows, and the ability to understand and communicate complex technical concepts clearly.

• Exceptional writing and editing skills with demonstrated ability to create compelling content across formats (blog posts, social media, web copy, positioning documents).

• Systems thinker with strong process design skills—you build frameworks and templates that enable others to execute consistently.

• Deep familiarity with developer communities on Reddit, Discord, and Twitter/X.

• Experience orchestrating content across multiple internal stakeholders and channels without direct management authority.

• Comfort with AI-native workflows—you embrace automation and AI-assisted content creation while maintaining editorial quality and strategic judgment. You have the technical fluency to serve as first-line reviewer of AI-generated content, validating technical accuracy before engineering review.

• Self-directed and comfortable with ambiguity—you can define the work, build the systems, and execute without a playbook.

Nice to Have

• Prior experience in AI/ML, LLM ecosystems, or developer infrastructure products.

• Track record launching technical products or features with strong content-led strategies.

• Experience building and managing content systems, style guides, and brand voice frameworks.

• Strong social media presence or demonstrated ability to create viral, engaging technical content.

• Familiarity with developer communities, technical Twitter, and how developers discover and evaluate infrastructure tools.

Why OpenRouter

• Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs.

• Build the content and positioning strategy for a product with clear, tangible ROI: cost efficiency, scalability, flexibility, and innovation velocity.

• High ownership and visibility with direct impact on how OpenRouter is perceived in the market.

• Competitive compensation, including base salary and equity.

• Fully remote team with a strong culture of autonomy and trust.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $230K – $325K • 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

Applied Evals defines what good looks like for safe, advanced AI systems. We turn complex, high-value workflows into clear, reproducible signals that guide model training and product quality. Our work bridges frontier customers and models, ensuring improvements show up where users experience them. We combine hands-on, unscalable efforts with systems that others can extend, creating a compounding loop of model improvement.

About the Role

We’re hiring product-minded engineers to design and build evals and harnesses that capture real-world quality for advanced AI systems. You’ll own the loop from prototyping with users to building reliable pipelines and integrating signals into training stacks. This role sits at the center of model improvement. The systems you design will directly shape how models behave, accelerate their reliability, and raise the standard for what customers expect.

You’ll collaborate closely with research and product teams and work across the stack, from backend pipelines to user-facing interfaces. The work includes evaluating multi-turn and tool-using systems, designing agent harnesses, and applying reinforcement learning and related methods in production settings. Engineers who succeed in this role bring both a builder’s mindset and the judgment to create reusable systems that others can build on. Many thrive here by operating like founders or founding engineers, taking initiative, moving quickly, and creating structure where none exists.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

In this role, you will:

• Define the core evaluation signals that drive model improvement at OpenAI, turning vague product gaps into crisp, defensible measures of quality

• Design agents, harnesses, and eval pipelines that are reliable, reproducible, and extendable

• Prototype solutions with real workflows and convert them into scalable feedback loops

• Connect evaluation signals directly to research and training systems so product improvements show up in what users experience

• Shape model interaction paradigms by partnering with engineering, research, and product teams on how models are deployed and measured

• Build reusable systems and tools that enable contributions from across the company and steadily raise the quality bar

You’ll thrive in this role if you:

• Bring 4+ years of experience in software engineering with strong fundamentals and a track record of shipping production systems end-to-end

• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding

• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.

• Are familiar with deep learning concepts or have prior exposure to training models.

• Communicate clearly across technical and non-technical audiences across levels

• Are motivated by high-impact collaboration with research and product teams and thrive in ambiguity

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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San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $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.

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.

TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.

About the Role

We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.

In this role, you will:

• Design eval pipelines that are reliable, reproducible, and extendable

• Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation

• Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems

• Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.

• Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows

• Own the full development lifecycle of new backend systems and internal platform capabilities

• Build with scale and maintainability in mind, while rapidly iterating on new ideas

You might be a great fit if you have:

• 4+ years of backend engineering experience at product-driven companies (excluding internships)

• Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres

• Experience designing and scaling distributed systems, APIs, or data processing pipelines

• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding

• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.

• Experience creating production evals and/or measuring performance of ML/LLM models at scale

• A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision

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

You will support and enhance internal developer tools, collaborate with cross-functional teams, design, develop, troubleshoot, and debug software tools, drive the adoption and integration of AI-assisted technologies, participate in the end-to-end deployment of DevEx solutions, and balance multiple demands and prioritize tasks.

• Support and enhance internal developer tools utilized company-wide, including IDEs, check-in management, regression testing, and code quality measurement systems.
• Collaborate with cross-functional teams to define requirements for common modules and methodologies, ensuring alignment with modern development practices.
• Design, develop, troubleshoot, and debug software tools using scripting (Python, Perl, Bash, PowerShell) and web application frameworks.
• Drive the adoption and integration of AI-assisted technologies and agentic AI to automate workflows and improve productivity across engineering functions.
• Participate in the end-to-end deployment of DevEx solutions, leveraging CI/CD workflows and microservice architectures.
• Balance multiple demands and prioritize tasks in a fast-paced environment, ensuring high standards of reliability and performance for all delivered solutions.

What you need

• Fluency in English, with strong verbal and written communication skills.
• Proficiency in scripting and automation using Perl, Python, Bash, or PowerShell.
• Experience with both cloud-based and on-premises Linux infrastructure environments.
• Hands-on experience developing applications in C/C++ and Python.
• Exposure to AI coding assistants (e.g., GitHub Copilot, Cursor IDE) and willingness to adopt new AI-driven tools.

What you'll need

• Fluency in English, with strong verbal and written communication skills.
• Proficiency in scripting and automation using Perl, Python, Bash, or PowerShell.
• Experience with both cloud-based and on-premises Linux infrastructure environments.
• Hands-on experience developing applications in C/C++ and Python.
• Exposure to AI coding assistants (e.g., GitHub Copilot, Cursor IDE) and willingness to adopt new AI-driven tools.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

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Microsoft AI are looking for a talented Principal Software Engineer - AI Ads to shape the future of online advertising in Mountain View, CA or Redmond, WA. You'll lead the design and development of large-scale shopping ads infrastructure that powers billions of products worldwide.

About the Role

As a Principal Software Engineer - AI Ads, you will be responsible for leading the design, development, and optimization of large-scale shopping ads infrastructure and algorithms. You will build and maintain the universal product graph spanning billions of products across multiple languages. You will develop scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale. You will apply machine learning (ML), nature language processing (NLP), and deep learning (DL) models to improve ad relevance, personalization, and selection.

Accountabilities

• Lead the design, development, and optimization of large-scale shopping ads infrastructure and algorithms.
• Build and maintain the universal product graph spanning billions of products across multiple languages.
• Develop scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale.
• Apply machine learning (ML), nature language processing (NLP), and deep learning (DL) models to improve ad relevance, personalization, and selection.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Deep learning frameworks (e.g., PyTorch, TensorFlow), LLMs/SLMs, and AI Agents.
• Cloud services, large-scale big data platforms, and streaming/real-time frameworks (e.g., Kafka, Flink, Spark Streaming), and AI infrastructure development.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI innovation at massive scale.
• Collaborative and dynamic work environment.
• Professional development opportunities.

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What you'll do

Work directly with game teams/partners (internal clients) to understand their offerings/domain and create AI products and solutions to solve for their use cases.

What you need

• Graduate degree in Computer Science, Engineering, AI/ML, or a related quantitative field encouraged.
• 4+ years of experience building AI, ML, or data-driven systems in production environments.

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What you'll do

This role will administer onboarding and enablement tactics across multiple products, advising on best practices for deploying ElevenLabs across web, mobile, and backend systems.

• Responsibility 1: Analyze product usage and performance signals to identify friction points, unblock adoption, and help customers realize measurable value from the platform.

• Responsibility 2: Own commercial outcomes across a defined set of accounts.

What you need

• Required skill 1: 5+ years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the Nordics region.

• Required skill 2: Fluent in Swedish and English.

• Required skill 3: Familiarity and experience with building and deploying AI agents.

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What you'll do

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.

What you need

• 5+ years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the Nordics region

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Lead collaborative efforts with EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4 years + experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Python development skills, C#, JavaScript, HTML, and CSS is beneficial
• Experience using agentic AI software engineering solutions such as Cursor
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• A comprehensive understanding of architecture and design principles, and cloud services, such as:
• AWS, Azure, and GCP cloud services
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial

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What you'll do

This is a highly cross-functional, technical role where you’ll use your full-stack engineering skills to build systems that supercharge ElevenLabs. You’ll embed within a specific team, and work closely with sales, marketing, operations, and product leaders to understand pain points, decompose ambiguous problems, and ship elegant, pragmatic solutions at speed.

What you need

• Strong full-stack engineering skills: you’re comfortable moving across frontend, backend, and infrastructure as needed. Minimum requirements: Python, SQL.

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What you'll do

This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences.

• Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
• Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.

What you need

• Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
• Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.

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What you'll do

This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.

• Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
• Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.

What you need

• Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
• Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.

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