Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a creative, collaborative, and highly motivated Machine Learning Intern to help develop applied machine learning capabilities using real-world mobility and behavioral data. This internship is ideal for someone who enjoys solving ambiguous problems, building practical ML workflows, working with messy real-world datasets, and translating technical findings into clear recommendations.

The intern will work on a 12-week applied ML project involving data exploration, labeling strategy, feature engineering, model development, evaluation, and stakeholder-facing analysis. The ideal candidate has strong Python skills, a solid foundation in machine learning, strong initiative, and the ability to make progress in open-ended problem spaces.

Responsibilities:

• Explore real-world mobility datasets and identify useful behavioral, temporal, contextual, and aggregate patterns
• Help define practical data labeling guidelines, quality criteria, and edge-case handling rules
• Build and validate datasets for supervised machine learning experiments
• Develop baseline and improved ML models using Python and standard data science workflows
• Perform feature engineering, model evaluation, error analysis, and iteration
• Assess model performance across relevant data segments and edge cases
• Summarize findings, limitations, risks, and opportunities for technical and product stakeholders
• Produce clear documentation, analysis reports, and final recommendations

Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Applied Math, or a related quantitative field
• Strong Python programming skills and comfort working with real-world datasets
• Solid understanding of supervised machine learning, feature engineering, classification metrics, train/test splits, and error analysis
• Experience with common Python data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or similar tools
• Strong analytical and problem-solving skills, with a bias toward initiative and ownership
• Clear written and verbal communication skills, including the ability to explain technical findings to non-technical stakeholders

Compensation and Benefits:

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

This person will support high-impact hiring across areas such as Engineering, Product, Data, and other technology functions in a fast-growing global environment.

This is not a traditional recruiting role. We are looking for someone who operates as a true talent advisor to the business, someone capable of influencing decisions, challenging assumptions, bringing market intelligence, and helping leaders make better hiring choices.

You will navigate complex global hiring landscapes, executive stakeholders, compensation discussions, and highly competitive talent markets - while maintaining exceptional hiring quality, calibration, and speed.

You must be comfortable operating with autonomy, executive exposure, and a strong sense of ownership.

What you’ll be responsible for

• Owning end-to-end hiring for strategic Tech roles across multiple geographies
• Acting as a trusted advisor to Hiring Managers, Directors, VPs, and executive stakeholders
• Partnering closely with HRBPs to align hiring strategies with business priorities and organizational needs
• Building high-caliber pipelines through proactive sourcing, market mapping, and talent engagement
• Driving calibrated hiring processes with strong quality bars and business alignment
• Bringing talent market insights, compensation intelligence, and external perspective into hiring discussions
• Influencing hiring decisions with data, structure, and consultative recommendations
• Elevating candidate experience while maintaining speed, quality, and operational excellence
• Continuously improving recruiting practices, processes, and sourcing strategies

What “great” looks like in this role

• You operate as a Strategic Advisor — not simply as a recruiter
• You quickly build credibility with Engineering, Product, and Data leaders
• You understand how high-performing tech organizations are structured and scaled
• You are comfortable hiring across complex domains such as Backend, Frontend, Mobile, Data, AI/ML, Product, Platform, and Engineering Leadership
• You know how to assess talent beyond keywords, understanding technical depth, business impact, and organizational fit
• You proactively propose solutions

Required experience

• Strong experience hiring for tech and product roles in fast-paced or global environments
• Strong sourcing capabilities across platforms, communities, and outbound recruiting strategies
• Experience influencing hiring decisions through data and market insights
• Experience managing multiple strategic searches simultaneously with high quality and speed standards
• Fluent English (written and spoken)

Nice to have

• Experience in fintech, payments, SaaS, or high-growth technology companies
• Experience hiring globally across LATAM, US, or APAC
• Experience with executive or senior-level Tech hiring

If you enjoy complexity, autonomy, strategic influence, and high-impact hiring: this role was designed for you!

Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a remote role

JR: 2026-7748

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a hybrid role

JR: 2026-7423

#LI-Hybrid

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

Role Summary:

The Data Sciences team at Dyne Therapeutics is seeking an exceptional Co-Op candidate to contribute to development of machine learning (ML) and AI-driven tools for our R&D programs. The primary focus will be on refining molecular sequence-based ML models for property/activity prediction. This includes working with sequence, structural, and contextual features to enhance model performance and generalizability.

In addition, the Co-Op will contribute to development of LLM-based pipelines for scientific document drafting and evaluation, including retrieval-augmented generation (RAG) workflows to support internal research and regulatory processes.

This role provides hands-on experience at the intersection of computational biology and applied AI, directly supporting team priorities in molecular optimization, pipeline expansion, and AI capability development.

This role is based in Waltham, MA without the possibility of being remote. This is a 6-month position beginning in July.  

Candidates must be enrolled in an accredited college or university.

 
Primary Responsibilities Include: 

• Support data curation, preprocessing, and feature generation for biomolecular sequence ML models.
• Assist with model training, evaluation, and benchmarking under guidance.
• Contribute to development and testing of LLM-based document drafting and verification pipelines.
• Deliver well-documented and reproducible code, analysis summaries, and a final presentation of contributions.

 Education and Skills Requirements: 

• Undergraduate or Graduate student currently pursuing a degree in bioinformatics, Computational biology, or computer science or equivalent experience. Must be in active student status during duration of Co-Op program.
• Demonstrated competency in python and/or R programming skills.
• Prior experience in data science, AI, or machine learning is preferred.
• Strong organizational skills and solid written and oral communication ability.

#LI-Onsite

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

WHO YOU ARE:
The ideal candidate will have strong hands-on experience with Windows Server administration, identity and access management, virtualization technologies, and system performance optimization. This role requires a well-rounded engineer who can ensure system reliability, security, and scalability across on-premises and cloud environments.

WHAT YOU'LL DO:

• Install, configure, and maintain Windows Server environments (2012/2016/2019/2022).
• Manage and support Active Directory, DNS, and related services (ADDS/ADDNS).
• Administer and maintain Microsoft Entra ID (Azure AD), including identity and access management.
• Monitor system performance and troubleshoot issues across servers and infrastructure.
• Manage and support virtualization platforms (VMware and/or Hyper-V).
• Perform system patching, upgrades, and security hardening activities.
• Ensure backup, disaster recovery, and business continuity processes are implemented and maintained.
• Collaborate with cross-functional teams to support infrastructure improvements and initiatives.
• Maintain accurate documentation for system configurations, processes, and procedures.

WHAT YOU'LL NEED:

• Experience with AWS cloud services or hybrid cloud environments.
• Knowledge of Microsoft 365 (O365) administration and services.
• Experience with automation tools and scripting (PowerShell or similar).
• Familiarity with modern infrastructure monitoring and performance tuning tools.
• Basic understanding of AI/ML concepts or exposure to related tools.
• 3+ years of experience in Windows Server administration, infrastructure engineering, or a related field.
• Strong hands-on experience with Windows Server (2012/2016/2019/2022).
• Proven experience with Microsoft Entra ID (Azure AD).
• Expertise in Active Directory and DNS (ADDS/ADDNS).
• Experience with virtualization technologies (VMware and/or Hyper-V).
• Solid understanding of system administration, troubleshooting, and performance optimization.
• Bachelor’s degree in Information Technology, Computer Science, or equivalent experience preferred.
• Relevant Microsoft or virtualization certifications (e.g., Azure Administrator, Windows Server, VMware) are a plus.

Additional Information:
This position may require occasional after-hours support for maintenance, upgrades, or critical incidents. A background check may be required depending on the nature of data access.

#LI-TN1

We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance.

The ideal candidate has a strong background in DevOps, workload porting, or application enablement. While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale.

This role is remote, based in the United States or Australia.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware.
• Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier.
• A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement.
• Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams, coordinating complex efforts across boundaries to ensure seamless workload transitions.
• Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering.

What We Need

• Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement.
• Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures.
• Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod.
• Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking.

What You Will Learn

• Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments.
• Directly influence an upcoming project, a high-visibility initiative shaping the future of our internal compute infrastructure.
• Work at the intersection of AI/ML workloads and hardware/software co-design.
• Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building the systems that other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

This is a hybrid role with 2 days per week in the Bengaluru office.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Write high-quality, well-tested code and participate in design and code reviews
• Collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions
• Contribute to the team's adoption of agentic development practices and tooling
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Bachelor’s Degree with relevant experience of 5+ years in designing and implementing scalable backend services
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in Java, Kotlin, or another object-oriented language
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-HYBRID

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

The Role:

We are seeking a Senior Data Platform Engineer to join our dynamic and growing team, responsible for building, scaling, and optimizing our cloud-native data platform. You will design and implement scalable data pipelines that power business-critical analytics, real-time insights, and AI/ML solutions. As an experienced data architect and builder, you will have the opportunity to redefine our data infrastructure to enable the next generation of products and drive innovative data initiatives.

Roles and Responsibilities:

- Design, Develop & Deploy scalable Data Platform with real-time and batch processing solutions

- Write highly scalable code by following best practices in concurrency, resource optimization, and fault tolerance.

- Build and maintain the Infra with best IoC practices

- Identify and implement internal process improvements, including automating manual tasks, optimizing data flow, and re-designing infrastructure for higher scalability and resilience.

- Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality.

- Build and maintain data tools that enable analytics, BI, and data science teams to experiment and optimize their workflows.

- Ensure end-to-end data governance by implementing policies for data quality, security, and compliance.

- Optimize data models and architectures to power machine learning, reporting, and real-time analytics.

- Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality.

- Work with stakeholders across the organization to ensure alignment between data infrastructure and business needs.

Mandatory Qualifications:

- 4+ years of hands-on experience in Building and managing Large Scale Data Platforms.

- Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools.

- Strong Experience in Building and Maintaining Data Intensive APIs and Distributed Data Processing Systems

- Strong programming skills in Scala, Golang, and optimizing SQL queries.

- Experience with both relational SQL and NoSQL databases

- Strong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks.

- Experience working in cross-functional, agile environments.

- Open-source contributions or active participation in developer communities.

- Prior experience in a product-based company is highly preferred.

Role Overview

We are seeking a technically strong Global Partner System Specialist to design, implement, and optimize partner-facing systems and operational processes. This role sits within the Global Partner Program and Strategy team and operates at the intersection of business and technology, bringing deep expertise in PRM management and CRM architecture and development. The primary focus is on PRM platforms, Salesforce, system integrations (including learning management and badging platforms), and partner data architecture supporting the global partner ecosystem.

You will administer and maintain partner systems, ensuring performance, scalability, and data integrity. This includes troubleshooting complex system and integration issues, partnering with technical teams to resolve defects, and helping to design and execute test plans (including taking the lead on regression testing) to validate enhancements. You will translate business requirements into scalable technical solutions, develop user and system documentation, and support change management efforts by creating enablement material, communicating updates, and driving adoption of new features and workflows—ultimately enabling a seamless, data-driven partner experience and improving efficiency across the partner lifecycle.

Key Responsibilities

1. Systems Design & Integration

• Architecture: Translate business needs into technical user stories and scalable system designs.

• Integrations: Build and maintain data flows between Salesforce, Impartner PRM, and learning platforms (LMS) for certifications, deal registrations, and badging.

• Lifecycle Management: Lead configuration, testing, and deployment of system enhancements.

2. Data Governance & Analytics

• Integrity: Maintain a high standard of data consistency across all partner platforms.

• Reporting: Design dashboards in Tableau and Salesforce to track partner performance, pipeline visibility, and portal engagement.

3. Quality Assurance & Support

• Testing: Own end-to-end test plans and lead regression testing for system releases.

• Technical Support: Troubleshoot complex integration issues and coordinate with developers for defect resolution.

• User Enablement: Manage user provisioning, create technical documentation, and drive platform adoption.

4. Operational Excellence

• Workflows: Optimize partner onboarding, agreement management, and deal registration processes.

• Continuous Improvement: Identify automation opportunities to improve operational efficiency and partner experience.

Qualifications

Required Skills & Experience

• 5+ years of experience in systems-focused roles such as Business Analyst, Systems Analyst, or Technical Partner Operations within a SaaS or technology environment.
• Deep hands-on experience with partner data across CRM (Salesforce) and PRM (Impartner) systems
• Strong understanding of system integrations, APIs, and data flows across enterprise platforms, including learning management systems (Cornerstone & Skilljar)
• Proven ability to translate business requirements into technical solutions and system configurations as well as test, troubleshoot, and request enhancements to partner systems
• Experience participating in the full partner system lifecycle: requirements, design, testing, deployment, and support.
• Advanced analytical and problem-solving skills with a focus on scalable solutions.
• Strong communication skills bridging technical and non-technical stakeholders.

Preferred Qualifications

• Experience with IMpartner
• Familiarity with deal registration and marketing development fund administration
• Hands-on experience with:
  • Tableau or similar BI tools
  • DocuSign, Conga/Apttus
  • Google Workspace
• Experience with data modeling, reporting frameworks, and dashboard design.
• Understanding of partner ecosystem at a SaaS technology company

#LI-Onsite

P25173_3437176

At Okta, partners are central to our success. The Global Partner Program team equips partners with the tools, resources, and operational support needed to build successful and profitable Okta practices.

Okta is seeking a Manager, Global Partner Program Operations to lead and scale the team responsible for all global partner program operations. This leadership role focuses on defining and optimizing critical operational processes, ensuring data integrity, and providing strategic oversight for all partner-facing systems, including the partner portal and key program operations. The Manager will hire, mentor, and guide a team of operations specialists to deliver a best-in-class, seamless experience for partners and internal stakeholders. The ideal candidate is a proven leader who can define strategic initiatives, drive continuous improvement, and manage complex, cross-functional operations in a high-growth environment.

The ideal candidate is highly organized, detail-oriented, and comfortable working in a fast-paced environment while supporting both partners and internal teams.

Key Responsibilities

Team Leadership and Development

• Lead, mentor, and manage a team of Global Partner Program Operations Specialists, including performance management, coaching, and career development.
• Define team priorities, allocate resources effectively, and establish Key Performance Indicators (KPIs) to ensure operational excellence and team efficiency.
• Recruit, onboard, and train new team members as the organization scales.

Program Operational Strategy & Optimization

• Define and optimize the end-to-end operational processes for the Global Partner Program, focusing on scalability, compliance, and efficiency.
• Oversee the seamless execution of high-volume, day-to-day partner operations, including partner onboarding, coordinating partner due diligence with Finance and Partner Sales teams, and managing partner agreement processing.
• Establish best practices for managing inbound support queues and ensure high-quality, timely resolution of complex partner and internal inquiries related to program structure, benefits, and resources and leverage AI where appropriate.
• Drive continuous process improvements for critical functions like Deal Registration operations and the creation of Letters of Authorization (LOAs).
• Oversee support for distribution partners with onboarding their resellers in accordance with program requirements.
  
  

Systems, Data Integrity & Reporting

• Partner with systems team to create and maintain operational integrity of all partner systems, including Salesforce, Conga, DocuSign, and the Partner Relationship Management (PRM) platform.
• Oversee the team’s efforts in maintaining accurate partner data integrity across internal systems, partner portals, and partner locator tools.
• Develop and manage reporting dashboards to track operational performance, compliance requirements, and the overall health of the partner ecosystem.

Required Skills and Experience

• 5+ years of progressive experience in partner operations, channel operations, or partner program management, preferably within SaaS or technology.
• 2+ years of direct experience managing and mentoring a team or leading complex cross-functional projects.
• Demonstrated ability to define, implement, and scale complex operational processes across global teams.
• Deep understanding and hands-on experience with core partner systems (e.g., Salesforce and a PRM platform like Impartner).
• Exceptional leadership, communication, and interpersonal skills with a proven ability to collaborate effectively with cross-functional executive stakeholders (e.g., Sales, Finance, Legal) and external partners.
• Advanced analytical and strategic thinking capabilities, with the ability to translate operational metrics into actionable business strategies.
• Strong organizational skills, high attention to detail, and sound judgment in a fast-paced environment.

Preferred Qualifications

Experience with:

• Advanced experience using and administering Salesforce (SFDC) and Partner Relationship Management platforms (e.g., Impartner)
• Proven experience managing vendor relationships for operational tools
• Expertise in data analysis and reporting using tools like Tableau or similar reporting tools
• Familiarity with agreement and data management tools such as Conga/Apptus and DocuSign
• Experience with Google Workspace.

#LI-Onsite

P25171_3437178

At Okta, partners are central to our success. The Global Partner Program team equips partners with the tools, resources, and operational support needed to build successful and profitable Okta practices.

Okta is seeking a Manager, Global Partner Sales Desk to support the transactional sales cycle and manage critical deal flow operations. This role ensures a seamless and efficient sales process by executing deal registration validation, maintaining CRM data quality, and handling quoting and purchase order (PO) processes.

The ideal candidate is highly organised, detail-oriented, and comfortable working in a fast-paced environment while supporting both partners and internal teams.

Key Responsibilities

Team Leadership and Development

• Lead, mentor, and manage a team of Global Partner Sales Desk Specialists and Cloud Desk Specialists, including performance management, coaching, and career development.
• Define team priorities, allocate resources effectively, and establish Key Performance Indicators (KPIs) to ensure operational excellence and team efficiency.

• Manage global team capacity and coverage to ensure all transactional service level agreements (SLAs) are consistently met.
• Recruit, onboard, and train new team members as the organization scales.

Program Operational Strategy & Optimization

• Define and optimize the end-to-end operational processes for the Global Partner Sales Desk, focusing on scalability, compliance, and efficiency and leverage AI wherever possible.
• Oversee the seamless execution of high-volume, day-to-day partner sales desk operations, including Deal Registration and validation, CRM hygiene, Quoting and PO issuance and troubleshooting issues.  
• Develop and maintain comprehensive, up-to-date documentation and training materials for all Partner Sales Desk processes for the internal team and key cross-functional stakeholders.
• Work with Global Partner Program Operations team to establish best practices for managing inbound support queues and ensure high-quality, timely resolution of complex partner and internal inquiries related to Deal Registration process.  
• Drive continuous process improvements for critical functions to support Partner Sales and ensure timely.
• Collaborate with IT teams to define and prioritize system enhancements in core platforms (e.g., Salesforce, PRM) to improve partner sales desk efficiency, scalability, and the overall partner experience.
• Monitor, analyze, and report on operational metrics to identify trends, performance gaps, and opportunities for cost reduction or efficiency gains.

Required Skills and Experience

• 5+ years of progressive experience in partner sales operations or channel sales operations preferably within SaaS or technology.
• 2+ years of direct experience managing and mentoring a team or leading complex cross-functional projects.
• Demonstrated ability to define, implement, and scale complex operational processes across global teams.
• Deep understanding and hands-on experience with core partner systems (e.g., Salesforce and a PRM platform like Impartner).
• Exceptional leadership, communication, and interpersonal skills with a proven ability to collaborate effectively with cross-functional executive stakeholders (e.g., Sales, Finance, Legal) and external partners.
• Advanced analytical and strategic thinking capabilities, with the ability to translate operational metrics into actionable business strategies.
• Strong organizational skills, high attention to detail, and sound judgment in a fast-paced environment.

Preferred Qualifications

Experience with:

• Advanced experience using and administering Salesforce (SFDC) and Partner Relationship Management platforms (e.g., Impartner)
• Expertise in data analysis and reporting using tools like Tableau or similar reporting tools
• Familiarity with agreement and data management tools such as Conga/Apptus and DocuSign
• Experience with Google Workspace

#LI-Onsite

P25172_3437184

Position Summary:

We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.

You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.

Key Responsibilities:

• Develop, Analyze and structure product specifications for input into GenAI programming tools.
• Operate GenAI systems to generate code based on structured inputs.
• Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
• Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
• Provide feedback to improve GenAI model outputs and prompt engineering strategies.
• Review and validate generated code for correctness, efficiency, and adherence to coding standards.
• Maintain documentation of input formats, code review findings, and feedback cycles.
• Stay current with advancements in GenAI programming tools and code generation technologies.
• Participate in code reviews and mentor junior developers.

Basic Qualifications:

• Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
• 8 to 10 years' experience with strong expertise in at least one of the following:
• TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
• Python (Django, Flask, FastAPI/ RestAPI)
• Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
• Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
• Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
• Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
• Strong understanding of software development principles and code review practices.
• Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
• Strong grasp of software design principles (OOP, SOLID, microservices).
• Excellent problem-solving, debugging, and collaboration skills.
• Excellent analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience working with prompt engineering or structured input design for GenAI systems.
• Exposure to MLOps or AI model evaluation frameworks.
• Knowledge of software architecture and design patterns.
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to serverless architecture and event-driven systems.
• Contribution to open-source or AI-driven development communities.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As Senior Principal Software Engineer and Senior Architect, you will be one of the most senior technologists at Toast, setting the technical vision and architectural direction for the pod while remaining hands-on in its most ambitious work. You'll define how AI-native engineering is done at Toast and spread those patterns across the organization.

A day in the life (Responsibilities)

• Develop and drive the architectural vision for AI Pod, establishing patterns for AI-native development that scale across Toast engineering
• Be an active participant and authoritative technical voice in cross-organizational strategy and architecture discussions
• Lead the pod's most complex, high-impact initiatives from design through production — staying hands-on throughout
• Evolve agentic development practices within the pod and champion their adoption across Toast
• Work closely with other Senior Principal Engineers and technical leaders across Toast to advance the overall architecture
• Mentor and develop technical leadership within the pod and across teams
• Partner with engineering leadership and product to translate strategic goals into executable technical plans

What you'll need to thrive (Requirements)

• 12+ years of experience designing and building highly scalable, mission-critical distributed software systems
• 10+ years of experience building and operating SaaS products, ideally AWS-hosted
• Demonstrated ability to drive architectural vision for a company, line of business, or highly scalable platform
• Deep experience building, deploying, and operating LLM-powered agents and AI-native systems
• 1+ years of hands-on experience using the latest AI coding agents with a strong desire to go all-in on agentic development practices
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Ability to move fluidly between whiteboard architecture and understanding the ebb and flow of code under load
• Ability and desire to communicate and influence at the executive level

What will make you stand out

• Experience managing or leading a small engineering team (2-4 engineers)
• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Cloud is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Cloud

• Proficiency in cloud platforms (AWS preferred; GCP/Azure a plus)

• Strong understanding of cloud architecture and core services (compute, storage, networking)

• Experience with DevOps practices (CI/CD, automation, deployment pipelines)

• Familiarity with infrastructure as code (Terraform, CloudFormation)

• Knowledge of containerization and orchestration (Docker, Kubernetes)

• Experience with monitoring and logging tools

• Understanding of security best practices in cloud environments

• Strong problem-solving and troubleshooting skills

Preferred:

• Experience with real-world cloud deployments

• Familiarity with serverless architectures and microservices

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Cybersecurity is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Cyber

• Strong understanding of cybersecurity fundamentals (network, application, and system security)

• Knowledge of threat detection, vulnerability assessment, and risk management

• Familiarity with security tools (SIEM, IDS/IPS, firewalls)

• Understanding of security frameworks and standards (e.g., NIST, ISO 27001)

• Experience with incident response and monitoring

• Basic knowledge of networking concepts and protocols

• Awareness of cloud security and data protection practices

• Strong analytical and problem-solving skills

Preferred:

• Experience with penetration testing or ethical hacking tools

• Relevant security certifications (e.g., Security+, CEH, CISSP)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Data is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Data

• Proficiency in Python and/or SQL
• Strong understanding of data analysis, statistics, and data modeling concepts
• Experience with data manipulation and visualization tools (Pandas, NumPy, Excel, Tableau/Power BI)
• Familiarity with ETL processes and data pipelines
• Understanding of databases (relational and/or NoSQL)
• Knowledge of data warehousing concepts and architecture
• Ability to work with large datasets and optimize data workflows
• Experience with data quality, validation, and governance practices
• Strong problem-solving and analytical skills

Preferred:

• Experience with big data tools (Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP, Azure)

Exposure to real-world data projects (analytics, engineering, or architecture)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

OVERVIEW

Rubrik is one of the fastest-growing enterprise cybersecurity firms ($1.5B in ARR, growing at 34% YoY), and we are looking for a visionary Senior Director of Sales Strategy and Operations to lead our EMEA and APAC regions. Reporting to the VP of Global Sales Operations, you will serve as the strategic right hand to the EMEA/APAC General Manager. You will be responsible for the design and execution of a world-class GTM infrastructure that scales with our rapid growth across diverse international markets. This is a high-impact leadership role that sits at the intersection of strategy, finance, and regional sales execution.

WHAT YOU’LL DO

• Strategic GTM Leadership: Define and lead the EMEA/APAC sales strategy, providing the EMEA GM and executive leadership with data-driven insights to optimize regional investment and market expansion.
• Territory & Capacity Architecture: Lead the annual and long-range planning process for the EMEA theater, overseeing complex territory design, headcount capacity models, and multi-country market segmentation.
• Incentive & Quota Strategy: Design and govern a repeatable, data-driven quota allocation process across multiple currencies and regions, ensuring alignment between corporate financial targets and field motivation.
• Operational Excellence: Own the EMEA/APAC "Rhythm of the Business," including the regional forecast process, Quarterly Business Reviews (QBRs), and pipeline hygiene, ensuring high predictability across a diverse sales landscape.
• Cross-Functional Orchestration: Partner with Global Ops, Finance, Marketing, and HR to ensure EMEA’s specific regional needs are represented in global systems and process rollouts.
• Team Leadership: Build, mentor, and lead a high-performing team of regional Sales Operations professionals, fostering a culture of excellence and analytical rigor.

REQUIRED TRAITS

• Executive Presence: Exceptional ability to influence and challenge senior leaders; you are comfortable being the "voice of truth" in the room.
• Global Mindset: Deep understanding of the nuances of the EMEA/APAC market, including diverse labor laws, currency impacts, and cultural business practices.
• Strategic Architect: You don’t just report on the business; you identify the systemic levers that will drive the next $3B in revenue.
• Operational Resilience: Proven ability to maintain a steady hand in a hyper-growth, high-stakes environment while managing competing global and regional priorities.
• Change Agent: Experience leading large-scale organizational transformations and system implementations across international borders.

REQUIRED SKILLS & EXPERIENCE

• 12+ years of experience in Sales Operations or Business Operations within a high-growth SaaS or enterprise software environment.
• 5+ years of leadership experience, specifically managing teams in an international/EMEA/APAC capacity.
• Mastery of the Tech Stack: Expert-level knowledge of Salesforce, Clari, and Pigment (or similar SPM tools); experience leveraging AI/ML for predictive forecasting is a plus.
• Quantitative Rigor: Advanced financial modeling skills and a track record of using data to drive significant ROI in sales productivity.

Education: Undergraduate degree required; MBA or equivalent advanced degree highly preferred.

The Impact You’ll Be Contributing to Moloco:

As a Growth Manager in Japan, you own the success and expansion of a portfolio of small to mid-sized advertiser accounts - driving revenue growth through strategic account management, data-driven optimization, and trusted client partnerships. You'll translate Moloco's programmatic solutions into measurable business outcomes for clients across mobile apps, gaming, commerce, and streaming, partnering closely with Sales, Implementation, Product, and Data Science to unlock performance and scale.

The Opportunity:

Client Relationships & Account Ownership

• Own day-to-day relationships across a high-volume portfolio of mid-market and SMB accounts, acting as the primary point of contact for client success.
• Lead client meetings, business reviews, and multi-stakeholder communications with clarity and consistency.
• Understand each client's business objectives, KPIs, and growth ambitions - and proactively surface aligned opportunities.
• Prioritize effectively across a large book of business, ensuring every account receives meaningful strategic attention.

Revenue Growth & Commercial Strategy

• Develop and execute data-driven strategies to drive upsell, cross-sell, and incremental revenue across your book of business.
• Identify and pitch expansion opportunities, balancing short-term gains with long-term partnership durability.
• Use data storytelling to build business cases and influence client stakeholders to act - budget shifts, new product adoption, geo expansion.
• Handle objections with structured commercial thinking and creative problem-solving.

Campaign Performance & Optimization

• Monitor how clients are utilizing Moloco's DSP - identifying underperforming setups, missed opportunities, and levers for improvement.
• Proactively surface actionable recommendations to help clients get more out of the platform: bidding strategies, budget allocation, creative approaches, and geo expansion.
• Use tools (SFDC, Moloco Cloud Platform, Looker) to analyze performance data and translate findings into clear, client-ready narratives.
• Partner with Implementation, DS, and Operations to flag and resolve technical issues that affect client performance.

Cross-Functional Collaboration & Market Feedback

• Partner with Sales, Implementation, Data Science, and Operations to drive account outcomes and ensure smooth client onboarding.
• Relay market and client feedback to Product, DS, and Engineering to inform roadmap decisions.
• Contribute to team playbooks and pitch materials; share what works in Japan with regional and global peers.

How Do I Know if the Role is Right For Me?

Experience

• 1- 3 years in account management or growth, ideally in programmatic marketing, mobile advertising, or ad tech.
• Proven track record managing and growing advertiser accounts, including high-volume or mid-market books of business.
• Familiarity with big data, MMPs, the mobile app ecosystem, and ad tech platforms.

Skills & Mindset

• Strong commercial instincts: identifies upsell opportunities and executes with data-backed pitches.
• Advanced data storytelling: turns performance data into clear narratives that influence client decisions.
• Excellent communication and presentation skills -  simplifies complex concepts for client managers and directors.
• High ownership mentality; proactive and curious approach to problem-solving across multiple accounts.
• Growth mindset: treats setbacks as learning opportunities, seeks feedback, and shares learnings with the team.
• Collaborative and low-ego; strong cross-functional partner to Sales, Implementation, Product, and DS.

Language

• Native/fluent Japanese, Business-level English

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building full-stack across the systems other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Contribute full-stack across backend services and frontend or developer-facing interfaces as needed
• Write high-quality, well-tested code and participate in design and code reviews
• Partner closely with product management to shape feature requirements, contribute to roadmap discussions, and translate product vision into reliable technical solutions

What you'll need to thrive (Requirements)

• 5+ years of experience designing and implementing scalable software systems, with a full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

ABOUT THE ROLE:

We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.

As a Principal AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.

Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.

WHAT MAKES THIS ROLE UNIQUE:

• A long-term strategic partnership, not short-term consulting.
• Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
• The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
• A high-trust, fast-moving setting where engineers have meaningful ownership and influence.

RESPONSIBILITIES:

Customer Engagement & AI Strategy

• Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
• Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
• Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.

AI Solution Design & Delivery

• Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
• Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
• Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.

Iterative Prototyping & Experimentation

• Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
• Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
• Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.

Cross-Functional Collaboration

• Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
• Provide structured feedback from customer engagements to influence internal product and platform development.

Knowledge Sharing & Mentorship

• Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
• Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.

REQUIREMENTS:

Technical Expertise

• Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
• Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.

Problem Solving & Systems Thinking

• Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
• Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.

Client-Facing & Communication Skills

• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.

Adaptability & Mindset

• Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
• Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
• Willingness to travel or work on-site with clients as required.

Education & Experience

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
• Prior experience working directly with customers on AI-driven applications is highly desirable.
• Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.

WHY THIS ROLE:

This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Forward Deployed AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.

BENEFITS

• You will work with amazing teammates from across Europe.
• Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
• Our Sofia office is right in the center, ensuring that everything you need is close by.
• Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
• Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
• We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
• We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
• Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
• We support your growth with certifications and courses that help you advance your career.
• Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
• We’ll work with you on an individual plan to help you reach your career goals.
• Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
• Participate in various social initiatives, contributing to causes that matter to you.
• Use our online platform, dedicated to your well-being and mental health.
• Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
• Refer a Friend, Get Rewarded.

Our Sales department is hiring a VP, Global Revenue Operations, to architect and lead the end-to-end commercial engine that powers scalable, predictable growth. You’ll unify marketing, sales, customer success, channel, finance, product, and operations into a cohesive revenue coalition. Your mission is to align strategy, data, process, and technology across the buyer journey—transforming insights into impact and enabling omnichannel, AI-driven execution.

In this role, you will:

• GTM Strategy & Execution: Translate GTM strategy and revenue goals into operational playbooks. Map buyer/seller journeys through their entire lifecycle, define funnel outcomes, and orchestrate execution. Lead forecasting, QBRs, board reporting, and investor-level insights.
• Cross-Functional Alignment: Build a “commercial coalition” across all revenue-generating functions. Establish shared KPIs, unified data sources, and end-to-end processes. Drive territory design, quota setting, and headcount planning using scenario modeling.
• Technology & Data Strategy: Audit and optimize the Rev-Tech stack (CRM, CPQ, analytics, enablement, AI tools). Own the data model: ensure integrity, accessibility, and actionable insights. Deploy AI copilots for forecasting, scoring, segmentation, and renewal alerts.
• Advanced Analytics & Modeling: Design predictive dashboards and ML-based forecasting models. Implement territory optimization, compensation modeling, and performance metrics. Monitor pipeline health, win rates, ramp time, and deal velocity.
• Operational Rigor & Enablement: Lead specialized functions: Order Desk, Deal Enablement, Sales Enablement, and Compensation. Standardize global deal execution with playbooks, templates, and risk frameworks. Partner with Legal, Finance, and Compliance to accelerate deal cycles and ensure governance.
• Transformation & Change Leadership: Assess and evolve RevOps maturity: from basic coordination to centralized, AI-enabled operations. Build and execute a multi-phase roadmap with clear milestones and dependencies. Champion change through workshops, enablement, and continuous feedback loops.
• Governance & Continuous Improvement: Own the RevOps fact base and success metrics across the funnel. Maintain dashboards and cadence rhythms for performance visibility. Reassess maturity, recalibrate strategy, and mitigate common pitfalls.
• Executive leadership and presence. Manage and build a team of exceptional revenue operations professionals. Support the CRO through inspirational leadership and strong direction setting for the global organization, and cross functional thought leadership across the entire customer’s journey.

To be successful in this opportunity, you will have:

• 10+ years in Sales, Marketing, or Revenue Operations at a high-growth B2B or SaaS company.
• Proven leadership in cross-functional GTM programs and operational transformation.
• Deep expertise in Rev-Tech platforms (Salesforce, Clari, Gong, HubSpot, etc.).
• Extensive systems transformation experience in salesforce in transforming a $100m ARR company through the journey to $350m
• Strong analytical skills: forecasting, scenario modeling, compensation design.
• Conceptual fluency in AI/ML and its application to revenue processes.
• Executive presence with the ability to influence across technical and business audiences.
• Exceptional program management and stakeholder engagement capabilities.
• Empathetic leadership style with a track record of building high-performing teams.
• Bachelor’s degree required; MBA or advanced training in strategy, analytics, or AI preferred.
• Experience in cybersecurity, OT/IoT, or regulated verticals.
• International exposure and sensitivity to regional GTM variations.
• Familiarity with industry standards (e.g. IEC 62443, NIST, ISO 27001).
• Passion for innovation, operational excellence, and inclusive leadership.
• Demonstrable experience of using AI‑enabled tools as part of day‑to‑day work activities to improve efficiency, quality, or decision‑making.
   
• Ability to work effectively with AI‑assisted tools while applying sound professional judgement and accountability for outputs.

Nozomi Networks is committed to fair and equitable compensation practices. The base pay scale for this position is $266,000 to $325,000. This is the range the company reasonably and in good faith expects to pay for the position taking into account factors including job-related knowledge, skillset, experience, education and training, certifications, and other relevant business factors. Applications outside the range are welcome to apply.

Additional Compensation and Benefits: The company also offers a wide range of competitive benefits, including medical, dental, vision, life insurance, and disability insurance for eligible employees.  The successful candidate may also be eligible to participate in the company’s equity program and/or variable bonus program, subject to the rules governing such programs.

In addition, eligible employees are able to enroll in a 401(k) plan along with the employer matching program. Nozomi Networks also offers eligible employees flexible paid time off, paid holidays and paid parental leave.

Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Principal Software Engineer, you'll set the technical direction for how we design, build, and evolve these systems, working full-stack across the agentic workflows that employees across Toast depend on every day. This role is for someone who can drive architecture, raise the engineering bar across the team, and stay hands-on building.

A day in the life (Responsibilities)

• Define and drive the technical architecture for AI Foundations platform, spanning backend services, frontend tooling, and third party integrations
• Lead full-stack design and delivery across the LLM proxy, AI key management, observability pipelines, and internal plugin marketplace
• Architect and deliver autonomous agents and MCP services that participate in the software development lifecycle
• Set and uphold engineering standards across the team: code quality, system design, testing, and operational practices
• Mentor and technically lead engineers across all levels through design reviews, code reviews, and pairing
• Partner with product and platform leadership to shape the AI Foundations roadmap and translate strategy into executable technical plans
• Collaborate closely with designers and product teams to translate UX concepts into polished, production-ready frontend experiences
• Serve as a key technical voice in cross-team discussions, representing AI Foundations in architecture decisions across Toast engineering

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Proven ability to mentor engineers and raise the technical bar of a team through standards, reviews, and hands-on guidance
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP, tool use patterns, or agentic frameworks
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies, with demonstrated experience building user-facing product interfaces
• Comfort with a rapidly changing technical landscape and a bias towards action over analysis paralysis

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

**This role requires a minimum of two days per week in our Dublin office**

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

ABOUT THE ROLE:

We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.

As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.

Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.

WHAT MAKES THIS ROLE UNIQUE:

• A long-term strategic partnership, not short-term consulting.
• Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
• The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
• A high-trust, fast-moving setting where engineers have meaningful ownership and influence.

RESPONSIBILITIES:

Customer Engagement & AI Strategy

• Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
• Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
• Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.

AI Solution Design & Delivery

• Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
• Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
• Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.

Iterative Prototyping & Experimentation

• Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
• Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
• Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.

Cross-Functional Collaboration

• Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
• Provide structured feedback from customer engagements to influence internal product and platform development.

Knowledge Sharing & Mentorship

• Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
• Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.

REQUIREMENTS:

Technical Expertise

• Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
• Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.

Problem Solving & Systems Thinking

• Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
• Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.

Client-Facing & Communication Skills

• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.

Adaptability & Mindset

• Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
• Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
• Willingness to travel or work on-site with clients as required.

Education & Experience

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
• Prior experience working directly with customers on AI-driven applications is highly desirable.
• Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.

WHY THIS ROLE:

This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Senior AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.

BENEFITS

• You will work with amazing teammates from across Europe.
• Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
• Our Sofia office is right in the center, ensuring that everything you need is close by.
• Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
• Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
• We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
• We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
• Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
• We support your growth with certifications and courses that help you advance your career.
• Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
• We’ll work with you on an individual plan to help you reach your career goals.
• Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
• Participate in various social initiatives, contributing to causes that matter to you.
• Use our online platform, dedicated to your well-being and mental health.
• Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
• Refer a Friend, Get Rewarded.

📍 London/Cardiff/UK Remote | 💰£106,000 - £140,000 + Incentive Awards tied to your performance + Benefits  ✨

Our Fincrime team⭐

We’re looking for a brilliant Financial Crime Business Banking Senior Manager to drive forward our strategy for Monzo’s Business Bank. You’ll manage a fantastic group of FinCrime Analysts working in cross-functional teams to build and iterate controls, maximising financial crime prevention while delivering best in class customer experience. 

We need someone who really understands the Financial Crime regulatory framework, products and crime typologies for Business Banking, and has expert knowledge in how to develop controls to ensure Monzo remains compliant and can most effectively detect and prevent all types of Financial Crime. You’ll be an exceptional stakeholder manager, bringing others along on a journey to deliver huge impact. You’ll be an incredible people manager who cares deeply about people development and coaching. You’ll thrive on delivering through others and will pour effort into your people to get the best possible results.

You should know that we fight Financial Crime a little differently at Monzo. Your team will work with dedicated Financial Crime engineers, data scientists and machine learning experts, which helps us to spot, assess and prevent crime quickly. We choose not to split out different areas of crime, either. Instead we tackle all Financial Crime together as one team. That includes AML, fraud, sanctions breaches, terrorist financing, bribery and corruption and tax evasion. 

🔑 You’ll play a key role by...

• Managing a team of specialist Fincrime risk owners to implement our fincrime strategy across the Business Bank as it develops new products (including Cash Deposits, Acquiring and Expense Cards) and expands to new markets in the European Union
• Building, developing and leading high impact teams, identifying opportunities for attaining and growing skills
• Owning the strategy for building financial crime prevention for Monzo’s Business Bank
• Developing strategic relationships with Fincrime and Fraud experts, Business product owners and Senior Execs to provide expert Fincrime knowledge and help define business requirements
• Suggesting, developing, implementing and monitoring industry leading fincrime detection capabilities alongside data scientists, machine learning experts, product management and engineers across multiple teams
• Providing expert knowledge to support the development of Fincrime systems to effectively manage Business Banking risks in multiple jurisdictions
• Building a close relationship with our Fincrime operations teams, ensuring sufficient communication and knowledge sharing on risks
• Defining and interpreting key measures and metrics on the performance of key systems and reporting this to relevant committees on an ongoing basis
• Identifying the highest priority issues or problem areas and working with other members of the Fincrime Team to drive forward solutions.

🤩 We’d love to hear from you if…

• You’re a brilliant people manager who invests time, care and attention to ensure skills development and best in class delivery
• You have significant knowledge of how to manage Financial Crime and Fraud risks in business and commercial banking
• You have been involved in the implementation of controls for Business-specific products and features including Merchant Acquiring, Cash Deposits and Borrowing
• You have worked with mature Fincrime systems to effectively manage risks across different products in different locations across the European Union
• You’ve got experience working closely with product managers, engineers, data scientists and identifying operational requirements
• You have experience of leading a wide range of Fincrime professionals and technical experts
• You are passionate about Fincrime, Monzo and putting customers first
• You enjoy working efficiently in a fast-paced, high-volume environment and thrive when there’s ambiguity
• You're great at explaining processes and complex technical requirements to people
• You’re keen to get stuck in and make things happen, without waiting for someone else or always needing to delegate
• You’re comfortable working with data and using it to come up with recommendations

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰 £106,000 - £140,000 ➕Incentive Awards tied to your performance.

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps

• 30 min call with the recruiter
• 30 min hiring manager call
• 2 hours of technical and behavioural interviews
• 30 min final call

This process should take around 4-5  weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

#LI-REMOTE #LI-OS1

The Product & Technology Integration organization within Technical Programs is seeking an experienced Validation & Verification Sr Manager to build a team of V&V TPMs, supporting active and upcoming programs. This team will be responsible for business-wide alignment of vehicle, subsystem, component and SW testing schedules, ensuring tests are in keeping with requirements and program deliverables in order to meet overall company objectives. Reporting to the Product & Technology Integration Director, this is a high visibility role that will require a strong and balanced leader who is capable of enforcing targets, but also able to absorb information provided by the working level and executives, alike, in order to deliver a strategic validation cadence.

The team will:

- Collate DVP submissions from each engineering area based on live BOM tracking, Feature rollout and DFMEA readiness

- Develop systems for department and company-wide use to view and track projects

- Develop asset management plans to ensure assets are being utilized as efficiently as possible and for applicable tests including accommodation for test logistics

- Develop systems for issue management to enable timely response as issues arise

- Engage with adjacent teams to work through issue resolution in a collaborative manner

- Develop processes to ensure effective communication of V&V activities, blockers and wins

- Ensure strong alignment with HW and SW teams to promote cross department learning

- Develop validation plans as part of the overall Engineering Delivery Plan (EDP)

- Work closely with Vehicle Test, Prototype Build and Fleet Management teams to ensure readiness and suitability of assets

- Work closely with Systems Engineering to determine correct cascade of test requirements when planning between Vehicle, Buck, Subsystem, Component and SW tests

You will:

- Lead, coach and develop a team of talented integration engineers and TPMs to ensure the organization functions as a well oiled machine with respect to Verification & Validation

- Serve as the ‘voice’ of program V&V, feeding into the Product & Technology Integration Director, but also regularly supporting executive forums

- Pay close attention to ALL programs (live and upcoming) to facilitate high level risk assessments, enabling mitigation planning ahead of time

- Chair regular reviews to keep key stakeholders aware of validation progress

- Work with engineering counterparts to develop budget forecasts to ensure testing is appropriately funded

You will have:

- Education

o Bachelors degree in Engineering, Science or a related field

- Experience

o Minimum 10 years within an Automotive OEM, showcasing experience of supporting more than 1 program through the entire product development cycle

o Excellent understanding of vehicle, buck, subsystem and component verification and validation

o Strong experience of supporting the validation of Software Defined Vehicles (SDV)

o Extensive experience of developing and managing large and complex project plans including significant dependencies on external teams

o Demonstrated ability to identify risks and develop mitigation strategies

- Skills

o Excellent communication skills with the ability to interact at all levels of the business

o Strong executive presence

o Comfortable taking ownership of projects or delegating based on departmental/business need

o Detail oriented and organized

We would love it if you have:

- Education

o Masters degree in an engineering discipline

o MBA

o Professional certification for project/program management (PMP, PRINCE2… etc)

- Experience

o Experience developing tools within Atlassian environments (JIRA/Confluence)

o Knowledge of virtual analysis and impacts of correlation to testing

o Experience of headcount forecasting

1633 - VP, Client Transformation

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As the VP of Client Transformation, you're the linchpin connecting our strategic vision with flawless operational execution and deep client partnerships. This pivotal leadership role demands a dual focus: both ensuring the seamless operational flow with our agency partners and driving proactive, strategic transformation initiatives for our key clients.

You will serve as the strategic operational backbone for our agency ecosystem, acting as the primary route for reactive and proactive engagement for client and agency leadership. This involves expertly coordinating onboarding/offboarding processes, diagnosing and troubleshooting complex client and operational issues, and leveraging other teams to support the embedding of critical tools like OMS within client-specific approaches. You'll ensure our operations run like a well-oiled machine, supporting best practices and learning within client leadership teams, and providing the stability necessary for growth.

Concurrently, you will be the catalyst for profound client transformation. Moving beyond day-to-day media work, you'll proactively identify and cultivate opportunities for deeper partnership, utilizing insights from QBR feedback, client action planning sessions, and even smaller client escalations to uncover strategic business initiatives. You'll lead and manage the end-to-end transformation workshop process, designing and facilitating engagements that redefine client objectives, and then effectively hand back robust plans to client teams for ongoing support. Your ultimate impact will be two-fold: ensuring operational excellence that bolsters our client relationships, while simultaneously architecting and delivering strategic transformations that unlock new value, deepen partnerships, and solidify our clients' — and our own — competitive edge. You're not just solving problems; you're building bridges to the future, one seamless operation and one strategic initiative at a time.

Skills and Experience

Essential Experience:

• Progressive leadership experience in client-facing roles within consulting, client management, or transformation practices.
• Proven success in leading and executing large-scale, cross-functional client change programs from concept through to sustained impact, delivering quantifiable business benefits.
• Deep expertise in change management methodologies and the ability to navigate complex organizational structures and stakeholder dynamics in client environments.
• Project management or Business analytics skills are helpful but not essential qualifications

Key Skills:

• Change agent: Ability to dissect complex client landscapes, identify latent opportunities, and architect innovative solutions that align with long-term strategic goals. You don't just solve the symptoms but find the root causes.
• Exceptional Client Acumen & Relationship Building: A natural at building trust and influencing C-suite executives and key stakeholders. You understand client businesses inside and out, making you an indispensable advisor.
• Transformational Leadership: An inspiring leader who can rally internal and external teams around a shared vision, foster collaboration, and drive accountability. You lead with empathy but also with a clear direction.
• Master Communicator: Possess outstanding verbal, written, and presentation skills. You can distill complex information into clear, compelling narratives that engage diverse audiences.
• Analytical Rigor & Problem-Solving: Adept at leveraging data and critical thinking to diagnose issues, define objectives, and measure the success of transformation initiatives.
• Future-Forward Mindset: A keen awareness of emerging technologies, market trends, and disruptive innovations, and the ability to integrate them into client transformation roadmaps.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

• Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
• Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
• Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
• Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
• Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
• Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
• Translate ML and multimodal research into scalable, production-grade cloud architectures.
• Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
• Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

• 5+ years of experience in data engineering, ML pipelines, or distributed systems.
• Strong experience building scalable data pipelines for large datasets (video/audio preferred).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience working with GPU-based environments and distributed computing.
• Strong programming skills in Python, Scala, or similar languages.
• Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
• Understanding of ML workflows, training pipelines, and inference systems.
• Experience designing fault-tolerant, high-availability systems.
• Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
• Ability to handle high-throughput, large-scale data ingestion and processing.

• Experience with multimodal AI (video, audio, NLP) systems.
• Familiarity with annotation tools and data labeling workflows.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cost optimization strategies for large-scale cloud workloads.

About the Project
The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.

About the Role
We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will  contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and  Ambient ORA, a speech assessment engine powering multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.

Key Responsibilities:

• Design, develop, and optimize AI-driven content generation workflows.
• Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed.
• Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.
• Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation.
• Operationalize AI models in collaboration with the AI R&D.
• Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.
• Design and run LLM evaluation benchmarks and regression detection.
• Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.
• Ensure robust CI/CD pipelines and contribute to SDLC best practices.
• Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.

Required Skills & Qualifications

• Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks 
  (CrewAI, LangGraph, LangChain, or equivalent).
• Production experience with LLMs, including prompt engineering, model evaluation, and 
  operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI).
• Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and 
  familiarity with AWS.
• Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent).
• Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus.
• Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus.
• Daily user of AI development tools (Cursor, Claude Code, Copilot).
• Fluent English, spoken and written.
• Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go 
  services

Benefits:

• Opportunities for certification and training
• Dual monitor setup and high-spec workstations
• English courses
• Gym allowance
• Medical Reimbursement
• Full salary covered up to 20 days of sickness
• Flexible working hours
• Loyalty scheme
• Team building activities, special events and conferences
• UK/EU Travel opportunities
• Snacks and drinks in the office

As a Machine Learning Engineer Intern at Optiver, you’ll work alongside experienced engineers on high-performing systems that respond to live financial markets in real time.

You’ll contribute to the compute platforms and libraries that support large-scale machine learning model training and simulation workloads, gaining hands-on experience applying modern ML techniques to real quantitative trading problems. Within weeks, you could be building tools or models that run in production and directly support our trading strategies.

By the end of the 8-week internship, you’ll have a clear and practical understanding of how technology and ML techniques are used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Machine Learning Engineer.

WHAT YOU’LL DO:

Led by our in-house education team that consists of ex-traders and engineers, you’ll delve into advanced engineering concepts and lead innovative projects, during our world-class training program.

In just a few weeks, you'll have the opportunity to:

• Gain first-hand experience applying the latest AI technology to quantitative trading problems.

• Help build the compute platform and libraries for large scale machine learning model training and simulation workloads.

• Manage a project end-to-end, learn how to work with a complex code base and make impactful contributions to production systems.

• Work on real trading and IT problems, both technically and functionally, to improve our trading success.

Throughout the program, you'll be paired with an experienced mentor, who will show you the ins-and-outs of our trading systems, and provide you with guidance and feedback.

Additionally, internal resources will be available for your continuous learning and development.

WHAT YOU’LL GET:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets.

In addition, you’ll receive:

• A highly competitive remuneration package.

• Optiver-covered flights and accommodation for the duration of the internship.

• The opportunity to work alongside best-in-class professionals.

• Training, mentorship and personal development opportunities.

• Gym membership, plus weekly in-house chair massages.

• Daily breakfast, lunch and in-house barista.

• Regular social events.
  
  

WHO YOU ARE:

• Students graduating in 2027 or later.

• Foundations in Machine Learning fundamentals, including optimisation and deep learning concepts.

• Hands-on experience with deep learning frameworks such as PyTorch, JAX, or similar.

• Interested in building scalable and reproducible machine learning pipelines, including data preprocessing, training, evaluation, and experiment tracking.

• Natural problem solvers who love nothing more than tackling a complex technical challenge.

• Team players who thrive in collaborative environments and are eager to learn, iterate, and improve.

• Interested in the trading / quantitative finance industry (prior finance knowledge is not required).
  
  Optional:

• Ability to identify and reason about compute and performance bottlenecks, using profiling, benchmarking, and systematic analysis to improve training efficiency.

• Experience with distributed training or GPU acceleration is a plus.

• Familiarity with experiment management tools (e.g. MLflow, Weights & Biases) or workflow orchestration is a plus.

HOW TO APPLY:

If you're ready to take the next step in your career and work on one of the most exciting trading floors in mainland China, we’d love to hear from you. Apply now via the form below. Applications close 16 March 2026.

In your application, please submit the following materials in English:

• Resume

• Cover letter (optional)

For any other inquiries, contact us at chinacareers@optiver.com.au

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins in 2027.

PRIVACY DISCLAIMER

Optiver 重视个人信息的保护。请您在提供个人信息给我们之前，认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。

Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our Privacy Policy to acknowledge how we collect and process your personal information.

About the Synthetic Chemistry, CMC and Logistics team

Our dynamic team of Synthetic Chemists and CRO Leads are dedicated to transforming drug design and manufacturing. We work in partnership with our AI/ML and drug discovery colleagues to support all phases of chemistry, from early to late stages, as well as managing our extensive external CRO team. We promote a supportive atmosphere where the diverse expertise of every team member is recognised and appreciated. We maintain a strong growth mindset, with continuous development and learning as a priority.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

Your impact

As part of the ongoing expansion of our Drug Design and Medical Research function, we are hiring Synthetic Chemists who are keen to impact medicinal chemistry projects and/or CMC projects. You will support the business alongside world-leading AI/ML Drug Design Platform teams. You will deliver scientific expertise and strategic direction to drive improvements in the Platform and the advancement of active drug discovery programs.

What you will do 

• Apply your Synthetic Chemistry expertise across Medicinal Chemistry and/or CMC projects.
• Act as a Synthetic Chemistry Lead in one or more active drug discovery programs.
• Collaborate both internally and with third party organisations, interacting within multidisciplinary teams to support the data-driven delivery of high quality scientific solutions to complex technical problems.
• Work cross-functionally with the Medicinal Chemistry, DMPK, Biology, and Technology teams.
• Represent the company externally, interacting with existing and prospective collaborators including Contract Research Organisations (CROs) and Contract Development & Manufacturing Organisations (CDMOs).
• Prepare detailed scientific proposals and reports to support new and ongoing programs.
• Embrace and champion our culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in Synthetic Chemistry, or a related technical field, or equivalent industrial experience.
• 3+ years’ professional experience in a Chemistry role, operating within a biotech, pharma or CRO setting. 5+ years' experience for more senior positions.
• Solid technical foundation in synthetic chemistry with previous experience operating independently as an individual contributor.
• Excellent problem-solving and decision-making capabilities applied to complex synthetic chemistry challenges.
• Experience of working with and closely managing CRO and/or CDMO resources.
• A genuine passion for drug discovery and enthusiasm for the potential of AI/ML to transform the field.
• Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment.
• Track record of creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.

This is Hybrid role (3 days in office /2 days remote)

About your Team:

The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise.

 What will be your responsibilities within IBKR: 

· Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases

· Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads

· Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing

· Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video)

· Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems

· Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation

· Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality

· Write clean, maintainable, well-tested code following software engineering and data engineering best practices

· Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities

 What required skill’s you need:

· 6+ years of hands-on data engineering experience with modern data stack technologies

· Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda

· Proficiency in Python for data processing, ETL, and application development

· Experience with PySpark on EMR for large-scale data processing

· Strong SQL skills for data analysis and transformation

· Experience building and maintaining ETL/ELT pipelines at scale

· Experience with Kafka for streaming data pipelines and real-time data processing

· Knowledge of data lake architectures and modern table formats (e.g., Iceberg)

· Experience with CI/CD practices using Git, version control systems, and containerization (Docker)

· Understanding of data modeling, data warehousing concepts, and analytics best practices

· Exceptional problem-solving and analytical skills

· Excellent collaboration and communication (verbal and written) skills

· Self-motivated with ability to work independently and manage multiple priorities

· Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends

 To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

Are you exploring a new career? Career Exploration is a great way to learn about various occupations and their "fit" with your unique career preferences, e.g. the skills, interests and values you want satisfied by your career. 

Interactive Brokers is looking for people who see opportunity where others see the status quo. At Interactive Brokers, every one of our exceptional and dedicated employees plays a role in keeping our technology on the cutting-edge, and our company at the forefront of the electronic trading industry.

Role Overview

Interactive Brokers seeks an FIU Analyst who is hard-working, detail-oriented, careful and a problem solver. This Analyst will assist in reviewing and analyzing the firm's customers' cashiering activities per the firm's AML/CTF policy. This role requires high energy and learning new skills in a dynamic environment.

Responsibilities

The role has regional responsibility and will involve:

• Assist in the monitoring and surveillance of cashiering transactions by IBKR clients in the Asia Pacific region
• Communicate with clients on monitoring and surveillance-related matters.
• Reviewing and providing suggestions to enhance existing surveillance systems/reports.
• Manage projects to build and implement approved enhancements and changes required due to regulatory changes. 
• Staying up to date with changes in market conduct, AML and other related regulations,
• Staying up to date with APAC and international developments in relevant areas of regulations and law.

Required Qualifications and Skills:

• Familiarity with AML/CTF Rules. 
• Experience in dealing with exchange and regulatory enquiries.
• Fluency in English (both written and spoken) is essential.
• Good communication skills and customer service experience would be advantageous.
• Good quantitative, analytical, and problem-solving skills
• Solid academic background with relevant qualifications
• Knowledge on AI/Machine Learning would be advantageous
• Have a "can do" attitude and willingness to learn.
• Good organizational skills with the ability to multi-task, prioritize and work with minimal supervision
• A high degree of comfort and fluency with computers and technology and an understanding of how technology is applied to business and regulatory problems or an ability to develop this rapidly

Company Benefits & Perks

• Competitive Salary, annual performance-based bonus and stock grant
• Excellent health and welfare benefits including medical, dental, specialist and in-patient  
• Competitive package of Annual Leave
• Daily lunch ordered in house with fully stocked kitchen
• Great work life balance
• Unique opportunity to gain exposure to global financial products, markets and clientele
• Opportunities for career progression and job scope expansion in a global company with growing local presence
• Hybrid work arrangement role permitting

This is a hybrid role (3 days in the office/2 days remote).

About Your Team:

Our Financial Crimes Surveillance team seeks a Senior Data Engineer to play a critical role in protecting the financial system. You'll architect, implement, optimize, and maintain sophisticated data pipelines that power real-time and batch surveillance models that pinpoint fraud, market manipulation, and money laundering across our platform.

The Scale & Impact:

• Process 1+ billion order events and 5+ million trades daily
• Protect 3.5+ million client accounts
• Direct impact on financial security and regulatory compliance

What will be your responsibilities within IBKR: 

• Data Architecture & Stewardship
  • Own and curate dozens of mission-critical datasets that drive surveillance operations.
  • Design, build, and automate robust data pipelines supporting real-time and batch processing.
  • Develop advanced data quality frameworks to proactively identify issues before they impact operations.
• Cross-Functional Partnership
  • Collaborate with quantitative engineers and surveillance model developers to translate complex business requirements into scalable data solutions.
  • Transform high-level surveillance concepts into production-ready processes that deliver actionable insights.
• Technical Excellence
  • Build an analytical infrastructure enabling seamless data exploration and visualization
  • Optimize data architectures and databases for maximum performance and reliability
  • Create developer tooling that accelerates pipeline development and monitoring
  • Ensure data accuracy, security, and compliance with regulatory standards
• Innovation & Optimization
  • Continuously enhance system reliability, performance, and efficiency
  • Load and format datasets for optimal consumption by quantitative researchers and ML models
  • Drive best practices in data governance and privacy protection

 Which skills are required:

• 5+ years of professional software engineering with a focus on data pipeline development (Python or Java)
• 3+ years of production Python experience beyond scripting
• Expert-level proficiency in Pandas or Polars
• 1-3 years of hands-on Linux systems experience
• Deep understanding of databases and SQL optimization
• Bachelor's or master's degree in computer science or a related technical field

Preferred Qualifications:

• Financial services or fintech background
• Proficiency in C++ or Java
• Advanced degree (Master's/PhD)

 To be successful in this position, you will have:

• Self-motivation and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

Your impact 

As the PKPD Lead, you will develop the quantitative pharmacology strategy of drug discovery projects to deliver high quality clinical candidates, whilst using and contributing to the optimisation of state-of-the-art computational and AI drug design models. As part of the DMPK and Quantitative Pharmacology team, you will champion the use of model-informed drug discovery and development on both small molecule and biologics projects. You will work closely with the Biologics Discovery team to further develop AI models for biologics developability.

If you are an experienced and ambitious scientist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development.

What you will do 

PKPD Lead

• Design and implement quantitative pharmacology strategies with an AI-first approach, from target identification to pre-clinical development.
• Provide scientific leadership and integrate PK and quantitative pharmacology strategies for biologics projects, within the broader project strategy. As a member of the project core team, you will collaborate closely with colleagues in Drug Design, Pharmacology, ML Engineering, and Preclinical and Clinical Development to resolve PK and PD challenges.
• Develop advanced PKPD models for biologics and small molecule projects in collaboration with the DMPK and Pharmacology Leads.
• Contribute to the choice of modality that is the most appropriate for each target. Develop the target molecule profile at the inception of the project.
• Integrate PK, PD and toxicological data to extract decision-making information through mechanistic and empirical models, including dose and safety margin predictions for biologics projects.
• Author PKPD sections of regulatory documents.

ML interactions

• Partner with Machine Learning colleagues to integrate PK and PD aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive models.
• Identify state-of-the-art integration methods that could bring transformational benefits to our platform or ways of working.
• Support the development of the biologics developability platform by identifying high-throughput techniques to predict the PK behaviour of various biologics formats.

CRO interactions

• Since IsomorphicLabs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:
• Ensure high quality and timely data generation to support our portfolio projects.
• Leverage the scientific expertise of our external collaborators to enhance the team's impact.
• Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based developability models.

People

• Mentor junior members of the DMPK and Quantitative Pharmacology  team.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, or Chemistry or another relevant subject.
• 3+ years of related experience in the pharmaceutical industry.
• Experience as a PKPD Lead, solving PKPD-related problems in biologics projects with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing high quality quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling for biologics.

Nice to have:

• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery and development projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will support the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. You use your expertise in PBPK modelling to make data integration a powerful tool to accelerate drug design and preclinical development.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining the Isomorphic Labs now will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Define Iso’s PBPK strategy leading to fit for purpose models that drive drug design and accelerate accelerate preclinical development.
• Design and implement stage-appropriate development DMPK strategies with AI-first approach, integrate the quantitative pharmacology and overall project strategies.
• Design mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise molecule design and formulation based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 5+ years’ professional as a DMPK Lead, solving DMPK-related problems in preclinical development with a track record of working collaboratively to deliver regulatory-ready FIH packages.
• Practical experience in setting up automated PBPK workflows.
• Practical experience in using PBPK to support preclinical development.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling.
• Experience of partnering closely with Preclinical and Clinical teams.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. 

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies.
• Design screening cascade and mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.
• Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 3+ years’ professional experience as a DMPK Lead, solving DMPK-related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology.
• Experience of partnering closely with Preclinical and Clinical teams.
• In depth knowledge of biotransformation.
• In depth knowledge of PK modelling and scaling of ADME properties.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Advanced knowledge of PKPD modelling.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.

We are focused on candidates located in Sydney.

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting customers to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

SLSQ327R1

As an Account Executive - Enterprise Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts across the Public Sector. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Sales Director, Public Sector.

The impact you will have:

• Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Public Sector segment.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem.
• Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it successfully.

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.