Partner Senior Solution Engineer - APAC

Partner Senior Solutions Engineer

We are seeking a dynamic and skilled Senior Solutions Engineer to join our APAC team at Boomi. You will play a crucial role in supporting partner accounts, managing relationships with partners’ technical staff, and providing extraordinary solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Why Boomi, Why Now

At Boomi, you’ll join a fully established GTM team during one of the most exciting phases of our European expansion. We’re a recognized Gartner Magic Quadrant leader in iPaaS, and our intelligent integration, automation, and AI-powered platform is shaping the future of connected business.

As a Senior Solutions Engineer, you won’t just be another cog in a huge machine—you’ll have real influence, visibility, and the ability to make a direct impact on how our enterprise customers transform their operations. You’ll collaborate closely with experienced Account Executives, solution engineers, and partners across APAC, supported by strong local leadership and a culture that prizes innovation, autonomy, and teamwork.

Boomi’s momentum in our APAC market  means white-space opportunities to grow your reputation, accelerate your career, and work on cutting-edge projects—from AI-augmented workflows to hybrid-cloud transformations. Add to that our flexible, remote-first culture, solid CSR commitments, and competitive compensation—and you’ve got a place where top Solutions Consultants can truly thrive.

What You’ll Do:

• Gain access to and manage relationships with partner technical staff functions to understand their requirements and challenges proficiently.
• Qualify sales opportunities by understanding partner and customer technical requirements, decision-making processes, and underlying demand drivers.
• Uncover and articulate the business value of Boomi's Intelligent Automation and Integration solutions.
• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi successfully solves pain points.
• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.
• Understand the competitive landscape and position Boomi's solutions appropriately against competitors.
• Collaborate with other sales engineers, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.
• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (no-code/low-code solutions for AI, APIM, Business Process Automation, MFT, Integration and Data Management).
  
  

The Experience You Bring:

• Exemplary written and verbal communication skills in English
• Significant number of years of client-facing experience with a robust technical aptitude and presentation skills, and/or a Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business Administration, or a related field.
• Some field sales or customer consulting experience is preferred.
• Solid comprehension of integration technologies with a focus on API management, data management, and real-time integration.
• Experience with other iPaaS, API Management, Business Process Automation, Process Mining or Data Management vendors is a significant advantage.
• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, ServiceNow, Salesforce, IFS and others is also an advantage.
• Solid business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.
• Ability to uncover customer needs and articulate the business value of solutions skillfully.
• Ability to prioritize tasks and foster effective communication in global cross-functional teams.
• Solid presentation skills and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.
• A natural passion for creative problem-solving and a curiosity to understand how things work.
• Ability to switch between working individually or collaboratively for extended periods.
• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-VC1 #LI-Remote

The Opportunity

As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the Singapore area as this role will work directly with our customers in the APJ region.

The Team

Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

As part of our Solutions team, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

What You’ll Do

• Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management.
• Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
• Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
• Run workshops and training sessions with customers during onboarding and new functionality
• Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
• Proactively monitor product usage across your accounts to further gauge account health
• Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.
• Effectively relay customer feature requests to internal teams and advocate for customer needs.
• Ensure support teams are aligned with customer requests and priorities.

What We’re Looking For

• 3+ years of experience as a Customer Success Manager in SaaS.
• A self-starter mindset with the ability to thrive in limited process environments.
• Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
• Strong communication skills for articulating observations and fostering collaboration across teams.
• Proven ability to demo technical products and translate their value into tailored customer solutions.
• Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.
• A strong team player who values collaboration and collective success.
• Bonus: Familiarity with AI/ML workflows or GenAI technologies.

The estimated annual salary and variable compensation for this role is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

Programme duration: From 3-6 months, starting in 2026.  

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute to one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.  

Trading  

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.  

• Technical assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.   

• Interviews - Shortlisted applicants will proceed to interviews conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
• Share and discuss research results, methodology, data sets and processes with other researchers
• Implement the signals and the relevant datasets within the global execution platform
• Monitor signal behaviour and model performance over time
• You would lead the full strategy research cycle from signal generation to implementation

Your present skillset

• Direct experience as a quant researcher or trader, or in data science/machine learning space.
• Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

The role

We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.

You’re welcome to work remotely from Singapore.

Your responsibilities will include: 

• Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
• Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
• Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
• Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
• Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency

We expect you to have: 

• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
• Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
• Hands-on experience with:
  • Prompt engineering and LLM pipeline development, including evaluation
  • Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
  • Vector databases and RAG implementation patterns
  • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
• Strong Python programming skills
• Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences

It would be an added bonus if you have: 

• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
• Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
• Work with multimodal AI models (e.g., vision-language, speech)
• Proficiency with DevOps tools (Docker, Kubernetes)
• Contributions to open-source ML/AI projects

Preferred technical stack:

• Programming Languages – Python
• ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
• Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
• API and Web Frameworks – FastAPI, Flask
• MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
• Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

The role

Nebius is looking for an entrepreneurial, strategic, and partnership-focused professional to join our global startup team as a Venture Ecosystems Lead, APJ. In this role, you’ll take ownership of growing and managing our global startup pipeline by developing strong relationships with leading venture capital firms, accelerators, and startup communities in APJ.

You’ll focus on driving adoption of our established startup program by sourcing high-potential AI startups, co-creating value-added initiatives with APJ partners, and delivering impactful ecosystem activations. You’ll be a strategic thinker and doer—comfortable managing complex partnerships, growing the deal pipeline, and delivering exceptional experiences that deepen Nebius’ role as the cloud partner of choice for AI-native startups in the regions.

You’re welcome to work with us remotely from Singapore.

Your responsibilities will include:

• Build and maintain strong relationships with leading venture capital firms, PEs, accelerators, and key startup ecosystem partners in APJ.
• Act as a trusted Nebius representative, growing visibility and influence in the VC and startup ecosystem in APJ.

Drive and Grow Startup Pipeline

• Source, qualify, and onboard high-potential AI startups into Nebius’ established startup program.
• Collaborate with sales and marketing teams to ensure clear tracking, strong engagement, and effective conversion into long-term Nebius customers.

Create and Deliver Value-Added Initiatives

• Design and execute tailored partner initiatives, joint campaigns, and enablement resources.
• Develop compelling GTM materials such as case studies and playbooks to support adoption and success.

Measure and Optimize Ecosystems Success

• Own and track KPIs including lead generation, startup acquisition, activation rates, and revenue contribution.
• Use data and feedback to evaluate impact, identify opportunities, and optimize strategies.

Collaborate Across Teams

• Partner with internal stakeholders—including sales, marketing, channel, product, and solutions architects team—to align goals and ensure seamless execution.
• Champion the voice of the APJ startup and VC community within Nebius.

We expect you to have: 

• Minimum 7+ years of professional experience in GTM, strategic partnerships, business development or sales, with at least 5 years working in the startup or venture ecosystem.
• Deep understanding of VC and startup dynamics, investment models, and growth strategies in APJ Region.
• Proven ability to drive qualified pipeline growth and deliver measurable business impact through partnerships.
• Excellent organisational, communication, and presentation skills.
• Ability to work independently and collaboratively in a fast-paced, cross-functional environment.
• Familiarity with the AI and cloud computing landscape, with the ability to learn new technologies quickly.
• Genuine passion for the startup ecosystem, with consistent participation in the VC or technology events and conferences.
• Experience using CRM tools for pipeline management, internal communication, and workflow automation.
• Experienced in managing measurable quotas and using key performance metrics to track progress and drive results.

It will be an added bonus if you have: 

• 5 years of experience working in a leading VC/PE firm, global accelerator, as a startup founder, or as an early team member of a venture-backed AI startup.
• Established, high-trust network within the APJ venture capital ecosystem.
• Experience in technology partnerships or selling AI/cloud solutions.
• Strong understanding of AI infrastructure, cloud solutions, and the needs of AI/ML startups.
• Strong existing venture network in APJ

The role 

Nebius is hiring a Partner Development Manager to lead and scale strategic partner relationships across the APJ region, with a focus on Systems Integrators (SIs), Managed Service Providers (MSPs), and Value-Added Resellers (VARs). This role is responsible for driving partner-led pipeline, revenue, and customer adoption for Nebius’ GPU IaaS and cloud infrastructure offerings. 

This is a senior individual-contributor role with regional ownership, working closely with regional sales leadership, global channel leadership, and cross-functional teams

The role is based in Singapore, with flexibility for remote work within the country. 

Your responsibilities will include: 

• Own and grow executive-level relationships with top SIs, MSPs, and VARs across APJ
• Develop and execute joint business plans to drive partner-sourced and partner-influenced pipeline and revenue 
• Build and deliver scalable partner enablement across sales, technical, and go-to-market motions 
• Identify, recruit, and activate new strategic partners, leveraging an existing APJ network 
• Align closely with sales, marketing, and product teams to integrate partner motions into the broader GTM strategy 
• Track partner performance, pipeline, and forecasts, and take corrective action as needed 
• Travel: 25% Internation

We expect you to have: 

• 7–10+ years of experience in partner development or channel roles 
• Proven success driving enterprise cloud or IaaS revenue through partners 
• Active, current APJ partner network across SIs, MSPs, and ISVs 
• Strong understanding of cloud infrastructure; GPU or HPC experience preferred 
• Comfortable operating autonomously in fast-paced, ambiguous environments 
• Strong presentation and communication skills, with confidence engaging senior executives, technical teams, and partner leadership 

What Success Looks Like 

• Strategic partners are enabled, activated, and driving measurable pipeline within the first 6–12 months 
• Clear partner segmentation, coverage, and execution model is in place across APJ 
• Nebius is recognized by partners as a credible, high-value cloud and GPU infrastructure provider 

The role 

We are looking for a Director of Sales Strategy & Operations to join our Nebius team! This role is a leadership position that will partner directly with our sales leadership team to shape and execute Nebius’ go-to-market strategy in the APJ region and driving operational excellence across the full revenue lifecycle.

This role sits at the intersection of strategy, analytics, process, and execution, and requires strong partnership with cross-functional teams across Sales, Finance, Product and Marketing to drive predictable revenue growth. You will own sales planning, performance management, forecasting, and operational excellence, while acting as a trusted advisor to senior sales leaders. This is a high-impact role with visibility across the commercial organization.

You’re welcome to work with us remotely from Singapore.

Your responsibilities will include: 

Sales Strategy & Planning

• Partner with Sales Leadership to define and execute on go-to-market strategies that are aligned to the company’s growth goals
• Lead annual and quarterly sales planning, including territory design, capacity modelling, and quota setting
• Support the go-to-market strategy for the APJ region, including segment definition, coverage model and sales motions
• Oversee quarterly and annual business reviews with clear, data-driven insights and recommendations

Operational Excellence & Process Optimisation

• Design, optimise and scale sales processes across the sales funnel to promote deal velocity
• Own sales forecasting, pipeline management and performance reporting
• Establish and monitor key KPIs and dashboards to assess business performance, along with the needed operating cadences to drive accountability
• Improve sales productivity through process simplification, tooling, and enablement initiatives

Data, Insights & Performance Management

• Translate insights into actionable strategies that influence investment decisions, resource allocation, and GTM priorities
• Promote data-driven decision-making as a core operational discipline across the sales function

Cross-Functional Collaboration

• Act as a key liaison between Sales, Finance, Product and Marketing
• Support alignment between demand generation, sales execution and target setting
• Be able to drive change management with cross-functional teams for new processes, tools or operating models

We expect you to have: 

• Experience: 10+ years in Revenue/Sales Operations or related roles, including 3+ years managing teams.
• Proven Impact: Demonstrated success in scaling sales operations and building processes in high-growth SaaS/tech environments.
• Strategic & Analytical: Strong problem solver with expertise in forecasting, pipeline management, and data-driven decision making.
• Collaborative Leader: Good communicator and influencer with a track record of building trust across Senior Stakeholders
• Process-Oriented: Ability to bring structure to ambiguity, ruthlessly prioritize, and execute at pace.
• Technical Acumen: Proficiency with sales productivity tools; experience driving adoption and optimisation.
• Education: Bachelor’s degree in Business, Finance, or related field; MBA a plus.

It will be an added bonus if you have: 

• Previous experience in a high-growth, start-up environment.
• Exposure to SaaS models or cloud infrastructure sales.

The role

We’re looking for a hands-on, high-impact Head of Field Marketing – APJ to build and scale our regional marketing engine from the ground up. 

This is not a “run what exists” role—this is a builder role. You’ll define how we show up across APJ, one of the fastest-growing and most complex regions in the world, at a time when both our company and the industry are scaling rapidly. 

You’ll work across a highly dynamic customer landscape—from AI-native startups to large enterprises and public sector organizations—each with different needs, buying cycles, and expectations. Your job is to turn that complexity into focused, high-performing marketing programs that drive pipeline and revenue. 

If you thrive in fast-moving environments, like owning outcomes, and want to help build something from zero to one (and beyond), this role is for you. 

The role is based in Singapore, with flexibility for remote work within the country. 

Your responsibilities will include:  

• Own and drive the APJ field marketing strategy, tightly aligned to aggressive regional revenue goals. 
• Build the APJ marketing function from the ground up—programs, processes, and eventually team. 
• Design and execute high-impact campaigns across ABM, demand gen, and field—focused on pipeline, not just activity. 
• Partner deeply with regional sales leaders to prioritize markets, accounts, and opportunities—and move deals forward. 
• Get into the field: run executive roundtables, customer events, partner activations, and anything else that creates real engagement. 
• Work with partners and channels to expand reach and co-build go-to-market motion across the region. 
• Take global campaigns and make them actually work in APJ—localized, relevant, and effective. 
• Track what matters: pipeline, conversion, revenue. Iterate fast based on what’s working (and what’s not). 
• Be the voice of APJ internally—bringing market insights, customer feedback, and competitive intel back to the global team. 

We expect you to have: 

• 10+ years in B2B marketing, with strong experience in field or regional roles. 
• Proven track record of building and scaling marketing programs in high-growth or early-stage environments. 
• Deep familiarity with APJ markets—you understand the nuance and don’t try to treat it as one region. 
• Experience in AI, cloud, infrastructure, or enterprise tech. 
• Strong pipeline mindset—you know how marketing actually drives revenue. 
• Comfortable operating with ambiguity and moving quickly without perfect structure. 
• Hands-on with tools like Salesforce, Marketo, HubSpot, etc.—you can both strategize and execute. 
• Strong operator and collaborator—you work seamlessly with sales, product, and global marketing. 
• Willing to travel across APJ (~30–40%) and be in-market where it matters. 

It will be an added bonus if you have: 

• You’ve built a regional marketing function from scratch before. 
• You’ve worked in a startup or hyper-growth environment and know what “figure it out” really means. 
• You understand the AI/ML ecosystem and where it’s heading. 
• You have experience working with partners and channel-heavy go-to-market models in APJ. 

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.

HPC & Cloud Infrastructure Engineer

Important Information

Location: Singapore

12 months contract

Job Summary

We’re hiring an HPC & Cloud Infrastructure Engineer to design, deploy, and optimize high-performance computing environments across on-prem and cloud. You’ll manage HPC clusters, interconnects, job schedulers, and enable AI/ML workloads at scale while driving automation and cost efficiency

Job Description

Architect, deploy, and manage HPC clusters with job schedulers, parallel file systems, and cluster management tools

Design, configure, and troubleshoot Infiniband high-throughput, low-latency interconnects for HPC/distributed workloads

Own PBS Professional scheduling: deployment, queue optimization, custom job submission scripts, workload management

Administer RHEL-based systems: performance tuning, package management, security hardening, patching via Red Hat Satellite and Ansible

Build and maintain cloud HPC environments on AWS, Azure, and GCP – provisioning, hybrid setups, migrations, and cost optimization

Implement Infrastructure as Code using Terraform/Ansible and integrate with CI/CD pipelines for reproducible infrastructure

Enable GPU & AI/ML workloads: containers, TensorFlow, PyTorch, scikit-learn, Keras, MXNet; support MLOps pipelines for training and deployment

Optimize parallel applications using MPI and OpenMP; debug and scale distributed/shared memory workloads

Drive monitoring, logging, and alerting for cluster health, job efficiency, and resource utilization

Required Skills and Experience

High-Performance Computing

Hands on experience in managing HPC clusters with job scheduler, cluster management parallel programming libraries, and parallel filesystems.

Knowledge of resource scheduling and job optimization for efficient workload management

Infiniband (Networking)

Hands-on experience with high-throughput, low-latency interconnect technologies like Infiniband.

Ability to design, configure, and troubleshoot interconnects in HPC or distributed environments.

Operating Systems and Environments 

Administration and configuration of RHEL-based systems.

Performance tuning, package management, and security hardening.

Knowledge of Red Hat Satellite and Ansible for automation.

Job Scheduling with PBS Professional 

Experience in deploying and managing PBS Professional for scheduling and workload management in HPC environments.

Customizing job submission scripts and optimizing job queues.

Parallel Programming Libraries

MPI (Message Passing Interface) and OpenMP (Open Multi-Processing):

Proficiency in writing, debugging, and optimizing parallelized code.

Experience with scaling applications across HPC systems.

Understanding of distributed memory (MPI) and shared memory (OpenMP)

paradigms.

Cloud Platforms

AWS, Azure, Google Cloud:

Expertise in provisioning, configuring, and managing services on all three platforms.

Cross-platform migration and hybrid cloud solutions knowledge.

Proficiency in managing high-performance computing (HPC) clusters on the cloud.

Deep understanding of cost optimization, security, and cloud native development tools (e.g., Kubernetes, Terraform).

Infrastructure as Code (IaC) 

Ability to design, deploy, and maintain infrastructure using automation and configuration management tools.

CI/CD pipeline integration for IaC workflows.

GPU & AI Libraries and Tools 

Hands-on experience with container technologies.

Hands-on experience with TensorFlow, PyTorch, scikit-learn, Keras, or MXNet.

Familiarity with AI/ML pipelines, model training, and optimization.

Knowledge of MLOps tools for deploying and monitoring models

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

Constructor Tech is expanding its Channel Sales organisation and is seeking a Partner Growth Manager to accelerate partner-driven growth across Singapore and the wider APAC region.

This role is focused on building market capacity, recruiting and activating net new partners, and growing revenue through the existing partner ecosystem. The ideal candidate combines experience in partner acquisition, account development, channel enablement, and market expansion in a SaaS or EdTech environment.

The Partner Growth Manager will take ownership of a dedicated territory, identify the highest-potential partner opportunities, and work closely with internal sales, presales, marketing, and support teams to scale Constructor Tech’s partner network and market presence.

Duties and Responsibilities:

• Own partner growth strategy for Singapore and selected APAC markets, with a strong focus on expanding market coverage and increasing partner-led capacity.
• Conduct territory analysis and market planning to identify whitespace, growth opportunities, and target partner segments.
• Identify, recruit, and engage new channels and strategic partners across the region, especially organisations that serve education, research, and digital learning markets.
• Build and manage a strong pipeline of potential partners through market mapping, outreach, networking, and relationship development.
• Research prospective partners to understand their business model, product portfolio, customer base, route-to-market, and strategic fit with Constructor Tech.
• Lead partner outreach through calls, email, LinkedIn, events, and other business development channels.
• Activate newly signed partners and drive their readiness to position, sell, and support Constructor Tech solutions.
• Launch and manage partner onboarding and enablement programs, including sales training, product education, and go-to-market alignment.
• Develop strong relationships with partner stakeholders and key decision-makers, including commercial, technical, and executive contacts.
• Establish regular operating cadence with engaged partners through weekly or bi-weekly check-ins, business reviews, and follow-up actions.
• Drive joint pipeline generation with partners through account mapping, co-selling, campaigns, webinars, events, and partner-led lead generation initiatives.
• Support partners in expanding their customer base, acquiring new customers, and strengthening customer retention through Constructor Tech solutions.
• Coordinate closely with internal presales, marketing, customer success, and technical teams to support partner opportunities and growth plans.
• Guide partners through solution integration and commercial onboarding where Constructor Tech products are integrated into partner platforms or offerings.
• Build and execute joint business plans and partner development plans with measurable growth targets.
• Track all partner interactions, opportunities, and activities in the corporate CRM system (HubSpot).
• Provide regular market feedback and partner insights to help refine the regional growth strategy.

Qualifications and Experience

• Fluent English.
• 5+ years of experience in channel sales, partner management, partner development, alliances, or growth-focused B2B SaaS sales.
• Proven track record of recruiting, activating, and growing partners in a software vendor or SaaS company.
• Strong understanding of partner-led growth models, channel development, and indirect sales.
• Experience working across Singapore and/or APAC markets is strongly preferred.
• Good understanding of the EdTech market, digital learning ecosystem, or related technology sectors is a strong advantage.
• Ability to identify and prioritize high-potential partners and turn them into active revenue-generating relationships.
• Strong commercial mindset with the ability to build pipelines, influence partner behavior, and drive measurable growth outcomes.
• Strong presentation, communication, negotiation, and relationship-building skills.
• Ability to articulate product value, business use cases, and market positioning to both business and technical audiences.
• Comfortable working cross-functionally with sales, presales, support, product, and marketing teams.
• Experience with HubSpot or similar CRM tools is preferred.
• Highly organized, self-motivated, persistent, and proactive in follow-up.
• Strong planning, execution, and time-management skills.
• Flexible, hands-on, and comfortable operating in a fast-changing, high-growth environment.

What Success Looks Like in This Role

• Increased partner coverage and market capacity across Singapore and APAC.
• Growth in the number of active, enabled, and revenue-generating partners.
• Strong partner-sourced and partner-influenced sales pipeline.
• Successful execution of partner onboarding, enablement, and joint go-to-market initiatives.
• Strong regional partner relationships that contribute to sustainable business growth.

About the Position

We're always hiring software engineers for all of our offices. Technology is at the core of how we approach our work, and engineers are intimately involved in every area of the business. 

We are big believers in functional programming and use OCaml, a statically typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning.

We also believe in the value of open source software, using it in our daily work and releasing over a million lines of our own code as open source.

About You

• Top-notch programming skills
• Deep experience with—and love for—technology. There's no specific checklist; we use software to approach a variety of problems, so we're interested in everything from machine learning to systems administration to programming language design
• Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we are looking for people who can work effectively in small, close-knit teams
• We don’t expect you to have experience with functional programming, OCaml, Python, or finance; we’re happy to hire talented engineers and teach them what they need to know.
• Fluent in English

If you'd like to get an idea of what we cover in our software engineering interview process, you can visit our interview prep page.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

The Global Presales team

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

The Alliance Solutions Engineer Opportunity

Okta believes in Partners and together with our technology, will help take Identity mainstream and consolidate our position as a Leader in the market.  Alliance Solutions Engineers are dedicated to growing Okta business through the Channel, working closely with Regional Alliance Managers, Sales Representatives, Marketing and Partner Enablement.  As an Alliance Solutions Engineer at Okta, you will build strong, long standing relationships with key Partners, Global System Integrators, Distributors and Technology Vendors.  You will become their trusted advisor for anything Identity and Access Management related and will help them understand how Okta can best fit in their Go-To-Market (GTM) Strategy, integrate with their current offerings, help evangelize partner solutions within the Okta field teams and lead our partners in building Okta practices that deliver exceptional customer outcomes.

What you’ll be doing 

• Build and manage technical relationships with assigned Partners and team with the assigned Okta Partner Account Team
• Drive incremental revenue through increased Okta solution sales with the support of Strategic Partners and their GTM strategies.
• Develop domain expertise and thought leadership regarding the Partners’ current areas of focus as well as in new areas for expansion
• Gather, track, and translate partner feedback to help steer the Okta product roadmap
• Deliver technical training sessions for Partners (demoing Okta features, explaining best practices and competitive differentiators)
• Field technical questions, inquiries and assist with Request for Information from the Partners
• Establish and maintain technical expertise on current and developing Okta products and technology
• Provide oversight, guidance, and assistance during the Partners sales process to ensure mutual success
• Up to 25% travel in support of Partner, Okta and industry events

How you’ll be measured

• Direct and influenced revenue growth
• Partner developed and driven GTM Solution Offering driven into the market / their customer base
• Partner enablement and resource certification growth

What you’ll bring to the role

• 5+ years pre-sales engineering experience.
• Experience with implementing Okta Workforce or Customer Identity
• An understanding of IAM / IDaaS competitive landscape
• Strong passion for Partners and knowledge of Channel business models
• Strong presentation and communication skills at a technical level
• A passion to serve the partner as our customer and ensure their success within their customer bases. 
• Experience with at least one standard network security protocol. (OAuth, OAuth2, SAML, LDAP, OIDC)
• Knowledge in one or more of the following areas: web (Javascript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Hands-on experience in cloud computing environments (AWS, GCP, Azure) 
• Confident dispensing knowledge to a highly skilled and experienced audience.
  
  

LI-Onsite

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About the Role 

At SimplifyNext, quality is not a phase – it is a discipline woven into every stage of how we deliver. As a Senior Quality Analyst, you will play a leadership role in shaping how quality is defined, engineered, and scaled across our engagements. You will work at the intersection of modern application development, AI-driven solutions, and enterprise automation, partnering with architects, engineers, and client stakeholders to ensure quality is built into the foundation – not tested at the end. This role goes beyond traditional QA. You will lead quality transformation for our clients, drive automation-first testing strategies, and explore how AI can redefine how quality is assured in complex, real-world systems. 

Responsibilities 

Quality Leadership & Strategy 

• Define and lead end-to-end quality strategies for complex programmes, ensuring alignment with business outcomes, regulatory requirements, and modern architecture patterns. 

• Act as a trusted advisor to clients and senior stakeholders, shaping how quality is approached across teams, platforms, and releases. 

• Establish quality governance frameworks across multi-workstream programmes, including standards, metrics, and reporting structures. 

Shift-Left & Engineering Excellence 

• Champion a shift-left and quality engineering mindset, embedding testing into design, development, and deployment practices. 

• Partner with architects and developers to design for testability, ensuring systems are observable, resilient, and scalable. 

• Advocate and guide teams on practices such as TDD, BDD, contract testing, and CI/CD-driven quality gates. 

Automation & AI-Driven Testing 

• Lead the design and implementation of automation-first testing strategies across UI, API, data, and integration layers. 

• Drive adoption of modern test automation frameworks such as Playwright, Cypress, and Selenium, and ensure they are scalable, maintainable, and integrated into delivery pipelines. 

• Make informed decisions on tooling strategy (e.g. what to use for modern web apps vs legacy or cross-browser needs). 

• Explore and implement AI-assisted testing approaches – including test generation, intelligent test selection, anomaly detection, and self-healing automation. 

• Define approaches for testing AI/ML systems and agentic workflows, including handling non-deterministic behaviour, model drift, and data quality risks. 

End-to-End Quality Assurance 

• Own quality across the full technology stack – from frontend experiences to backend services, integrations, and cloud infrastructure. 

• Lead exploratory testing and risk-based validation, especially in complex, automation-heavy, or AI-driven solutions. 

• Ensure robustness across performance, security, reliability, and user experience dimensions. 

Metrics, Insights & Continuous Improvement 

• Define and track engineering and quality metrics (e.g. lead time, deployment frequency, change fail rate, MTTR). 

• Use data to identify systemic issues, improve delivery predictability, and elevate team performance. 

• Embed continuous feedback loops from production usage into test strategy and product improvements. 

Coaching & Practice Building 

• Mentor and guide junior QAs and engineers, raising the overall quality maturity of teams. 

• Coach client teams to adopt shared ownership of quality, ensuring sustainability beyond project delivery. 

• Contribute to building SimplifyNext’s Quality Engineering practice, including reusable assets, accelerators, and thought leadership. 

What We Are Looking For 

Technical Skills 

• Strong experience in quality engineering within agile, product-centric environments, working closely with developers, BAs, and architects. 

• Proven ability to define and implement automation strategies across complex systems (web, mobile, API, integrations). 

• Hands-on experience with modern test frameworks and CI/CD integration. 

• Solid understanding of cloud-native architectures, microservices, and distributed systems. 

• Experience testing AI/ML or automation solutions, with awareness of challenges such as non-determinism, data dependency, and model evaluation. 

• Familiarity with performance, security, and resilience testing approaches. 

• Experience working in large-scale or public sector programmes is a plus. 

Professional & Leadership Skills 

• Demonstrated ability to lead quality across teams and influence without authority. 

• Strong consulting mindset – able to engage clients, shape thinking, and communicate risks in business terms. 

• Ability to operate at both strategic and hands-on levels, switching seamlessly as needed. 

• Excellent stakeholder management skills, including senior leadership engagement. 

• Passion for innovation in quality engineering, particularly through automation and AI. 

• Committed to continuous learning and driving change in how quality is delivered. 

What Success Looks Like in This Role 

• Quality is embedded from day one, not introduced late in delivery 

• Automation coverage is meaningful, reliable, and accelerates releases 

• Teams adopt shared ownership of quality 

• Clients see measurable improvements in delivery metrics and stability 

• New approaches (AI-assisted testing, modern frameworks) are successfully piloted and scaled 

The Impact You’ll Be Contributing to Moloco:

Moloco is seeking a strong communications leader to help build and execute our APAC communications strategy across both external and internal programs.

As Moloco continues to rapidly grow and add prominent customers, strong talent, and new technology capabilities, how we show up in key APAC markets will shape our regional reputation and our ability to attract and retain the best talent across the region. We're looking for someone who brings both big-picture narrative thinking and hands-on craft; someone who is equally comfortable crafting narratives, coaching leaders, pitching journalists directly, and managing complex agency partnerships across multiple markets.

This role requires someone who believes that external and internal communications are two sides of the same coin, and who has both the global perspective and the local market fluency to bring that belief to life across a diverse and dynamic region.

In this role, you will go beyond traditional PR to create a dynamic, creative approach to regional storytelling: shaping narratives through earned media, executive thought leadership, owned content, and strategic partnerships, while ensuring employees across the region feel informed, connected, and aligned with Moloco's global strategy.

This role partners closely with key leaders across the region and the broader organization, and reports to Moloco's Head of Communications.

The Opportunity:

• Help define and own Moloco's APAC communications strategy, leading the day-to-day of our external and internal communications programs across the region and evolving the function as the company scales.
• Partner with senior leaders across the region on communications strategy, coaching them on how to share Moloco's story effectively with both external audiences and internal teams.
• Build a modern regional external communications strategy that combines earned media, owned content, social and influencer engagement, and strategic storytelling partnerships tailored to local market dynamics.
• Localize and implement internal communications programs that connect APAC employees to the broader organization, reinforcing culture, strategy, and a sense of shared momentum.
• Personally pitch and cultivate relationships with journalists, analysts, and influencers across key APAC markets and beats.
• Manage and optimize agency relationships across multiple markets, ensuring message consistency while adapting to local dynamics.
• Navigate cultural and regulatory differences in communications approaches across APAC, with particular fluency in key markets including Korea and China.
• Anticipate issues and coordinate across Communications, Legal, and regional leadership to ensure timely, accurate, and trusted communications in a fast-moving, high-stakes environment.
• Oversee local reputation-critical communications and serve as primary regional spokesperson when needed

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

• 8-10 years of strategic communications experience, with significant experience spanning both external and internal communications at a high-growth or public tech company.
• Proven track record leading communications in APAC markets, with deep understanding of regional media landscapes, cultural nuances, and local market dynamics — particularly across Korea and/or China.
• Demonstrated B2B communications expertise, with the ability to reach technical buyers, business decision-makers, and C-suite executives across global markets.
• Experience running both external and internal communications as an integrated discipline, with clear impact on brand reputation, media presence, and employee alignment.
• Active media relationships and exceptional writing ability, with a willingness to personally execute high-priority initiatives alongside managing the broader function.
• High judgment and discretion, with experience navigating sensitive communications in a fast-moving, high-stakes environment.
• Genuine curiosity about AI and how it's changing the way we work, as well as an eagerness to bring that curiosity into how we build and run our communications function.

The Impact You’ll Be Contributing to Moloco:

• Define and execute the product strategy, roadmap, and requirements for end-to-end Dynamic Product Ads (DPA) — spanning catalog/postback integration, campaign setup workflow, ML-based product recommendation, and creative UX optimization.
• Own the product lifecycle from concept to experimentation and launch, ensuring each product delivers measurable customer value.
• Establish, monitor, and analyze KPIs to refine strategy, drive performance improvements, and guide data-informed decisions.
• Lead cross-functional teams to deliver rapid, high-quality product iterations with clear business impact in a fast-paced, agile environment.
• Synthesize data and insights from multiple internal and external sources to shape product strategy and execution.
• Stay ahead of industry trends and competitive dynamics to identify new product opportunities and positioning strategies.
• Resolve day-to-day operational challenges proactively to ensure smooth execution and continuous product improvement.

The Opportunity:

• Moloco’s vision is to become the scaling engine for the internet economy — transforming the ad tech ecosystem to deliver greater value for advertisers and publishers.
• In this role, you will pioneer a zero-to-one product, building new services that help advertisers grow their businesses by leveraging Moloco’s world-class machine learning capabilities.
• We’re looking for a passionate, analytical, and execution-driven Product Manager ready to drive innovation, unlock new advertiser verticals, and shape the future of Moloco’s growth.

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

• A BS/MS degree in Computer Science, Electrical Engineering, or a related field.
• 10+ years of experience in Product Management or equivalent roles, with a proven track record of turning ambiguous business and technical requirements into clear, data-driven product decisions.
• 3+ years of mobile ad tech experience, ideally with expertise in Dynamic Product Ads (DPA) and/or Commerce Media.
• Demonstrated success in leading 0 → 1 product strategies and launches
• An analytical mindset, using data to inform and drive key decisions
• A solid understanding of go-to-market (GTM) cycles within product management.
• Exceptional communication and collaboration skills, with the ability to align and influence across teams
• Experience thriving in a fast-paced, iterative environment — building, testing, and learning quickly to deliver impact.

Preferred Qualifications

• MBA preferred.
• Experience in personalization, recommendation, or ranking systems.
• Familiarity with commerce APIs, product feed management, and dynamic creative systems.
• Hands-on experience with SQL, Python, or other data analytics tools.

Example Impact Areas

• Building a product recommendation model that improves ad CTR by X%.
• Integrating with major e-commerce platforms to automate catalog/postback ingestion and campaign setup.
• Driving UX experimentation to optimize ad unit performance across different inventory environments.

The Impact You’ll Be Contributing to Moloco:

• Define and execute the product strategy, roadmap, and requirements for end-to-end Dynamic Product Ads (DPA) — spanning catalog/postback integration, campaign setup workflow, ML-based product recommendation, and creative UX optimization.
• Own the product lifecycle from concept to experimentation and launch, ensuring each product delivers measurable customer value.
• Establish, monitor, and analyze KPIs to refine strategy, drive performance improvements, and guide data-informed decisions.
• Lead cross-functional teams to deliver rapid, high-quality product iterations with clear business impact in a fast-paced, agile environment.
• Synthesize data and insights from multiple internal and external sources to shape product strategy and execution.
• Stay ahead of industry trends and competitive dynamics to identify new product opportunities and positioning strategies.
• Resolve day-to-day operational challenges proactively to ensure smooth execution and continuous product improvement.

The Opportunity:

• Moloco’s vision is to become the scaling engine for the internet economy — transforming the ad tech ecosystem to deliver greater value for advertisers and publishers.
• In this role, you will pioneer a zero-to-one product, building new services that help advertisers grow their businesses by leveraging Moloco’s world-class machine learning capabilities.
• We’re looking for a passionate, analytical, and execution-driven Product Manager ready to drive innovation, unlock new advertiser verticals, and shape the future of Moloco’s growth.

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

• A BS/MS degree in Computer Science, Electrical Engineering, or a related field.
• 10+ years of experience in Product Management or equivalent roles, with a proven track record of turning ambiguous business and technical requirements into clear, data-driven product decisions.
• 3+ years of mobile ad tech experience, ideally with expertise in Dynamic Product Ads (DPA) and/or Commerce Media.
• Demonstrated success in leading 0 → 1 product strategies and launches
• An analytical mindset, using data to inform and drive key decisions
• A solid understanding of go-to-market (GTM) cycles within product management.
• Exceptional communication and collaboration skills, with the ability to align and influence across teams
• Experience thriving in a fast-paced, iterative environment — building, testing, and learning quickly to deliver impact.

Preferred Qualifications

• MBA preferred.
• Experience in personalization, recommendation, or ranking systems.
• Familiarity with commerce APIs, product feed management, and dynamic creative systems.
• Hands-on experience with SQL, Python, or other data analytics tools.

Example Impact Areas

• Building a product recommendation model that improves ad CTR by X%.
• Integrating with major e-commerce platforms to automate catalog/postback ingestion and campaign setup.
• Driving UX experimentation to optimize ad unit performance across different inventory environments.

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We aren’t looking for someone who simply checks boxes; we’re looking for lifelong learners and "owners" who want to build the future of Identity.

Join us. Build a world where Identity belongs to you.

The Opportunity: Your Career-Defining Moment

The Sales Strategy & Operations team is the engine room of Okta’s growth. We don't just report on the business; we architect it. As a Senior Analyst for the APJ / ANZ region, you will act as a strategic co-pilot to Sales Leadership.

This isn't a "back-office" role. This is a high-visibility position for a high-potential talent who wants to own the "How" and "Why" behind our go-to-market execution. You will be tasked with removing the barriers that slow our sales teams down and leveraging the next frontier of technology—Agentic AI—to redefine what "operational excellence" looks like in the SaaS era.

How You Will Make an Impact

1. Strategic Partnership & Sales Advocacy

• Clear the Path: Partner directly with ANZ Sales Leadership to identify and dismantle friction in the sales process. You are the bridge between strategy and execution, ensuring our reps spend less time on systems and more time with customers.
• Drive the Business: Act as a trusted advisor, providing the insights, territory planning, and quota structures that empower leaders to hit their targets with precision.

2. Cross-Functional Ecosystem Orchestration

• Unify the Power of Okta: Work across Partners, Marketing, Finance, and Customer Success to ensure we are leveraging the full weight of the Okta functions. Your goal is to maximize outcomes not just for our employees, but for our entire ecosystem of prospects, customers and partners.
• Operational Discipline: Lead the annual planning process for the sales organization, architecting headcount, territory design, quota planning, pipeline targets that reflect our ambitious growth trajectory.

3. Innovation through AI & Automation

• Architect the Future: Move beyond traditional reporting. You will lead the charge in integrating AI and Agentic AI workflows into our GTM tech stack to automate mundane tasks and provide predictive insights for Marketing and Sales.
• Optimize the Stack: Master and evolve our use of Salesforce, Gong, and Clari, ensuring these tools aren't just stand alone capabilities, but competitive advantages.

What You Bring to the Team

• The Experience: 5+ years of professional experience, with at least 3 years in a high-intensity analytical role (Sales Ops, Strategy Consulting, or Finance).
• The Mindset: You are a "Superstar" self-starter. You don't wait for a playbook; you write it. You have a relentless curiosity and a desire to "own" your domain.
• Problem-Solving DNA: You can take an ambiguous business challenge, break it down into a structured project plan, and deliver data-driven results under pressure.
• Tech Literacy: Proficient in the GTM Tech Stack (Salesforce, Clari, Tableau). Most importantly, you are an AI-first thinker—you understand how LLMs and Agentic AI can be applied to business operations to drive 10x efficiency.
• SaaS Savvy: A deep understanding of SaaS business models, GTM metrics (LTV, CAC, cARR), and the mechanics of a high-growth sales cycle.

Why This Role?

This is more than a Senior Analyst position; it is a seat at the table during a pivotal chapter of Okta’s expansion in APJ. If you are looking to prove you can drive massive impact, influence executive leadership, and master the next wave of AI-driven operations, this is your moment.

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The Opportunity

Okta is looking for an Enterprise Account Executive to lead the full sales cycle across Hong Kong. You will drive net new logo acquisition, while also growing relationships with existing customers and key regional influencers (including consultants and partners). Backed by a world-class ecosystem, you’ll build a durable pipeline, execute strategic territory plans, and consistently deliver bookings and ARR outcomes.

What you’ll do

• Own the full sales process in Hong Kong, including prospecting, territory planning, discovery, solution positioning, pricing, negotiation, and close.

• Develop and execute a territory strategy to drive net new logo pipeline generation and predictable bookings.

• Identify and engage accounts that align to Okta’s ideal customer profile, uncovering high-impact use cases and buying triggers.

• Orchestrate complex enterprise deals across multiple stakeholders, including executive-level decision makers.

• Partner closely with Solutions Engineering, Customer First, Business Value Management, Marketing, and Channel/Alliances to accelerate deal velocity and outcomes.

• Land, adopt, and expand within enterprise accounts, building multi-threaded relationships across the customer org.

• Champion Okta’s customer-first mindset and become a trusted advisor on Identity and security outcomes.

What success looks like

• Consistently deliver ARR/bookings targets aligned to high-growth expectations.

• Build a repeatable, high-quality pipeline that supports both near-term close and long-term territory health.

• Establish Okta as a strategic platform partner across your named/defined account set in Hong Kong.

You could be a great fit if you have

• 7+ years of direct enterprise field sales experience, with a proven track record of net new logo acquisition.

• Demonstrated success selling complex enterprise cloud software (Identity/security experience is a strong advantage).

• A measurable history of overachieving quota and building pipeline through disciplined territory execution.

• Experience leveraging partners, channels, and alliances to create and win opportunities.

• Track record of closing six-figure+ cloud/software deals within the Hong Kong market.

• Strong executive presence, ability to influence C-level stakeholders, and excellent discovery/listening skills.

• Familiarity with target account selling, consultative/solution selling; exposure to MEDDIC/MEDDICC and Challenger is a plus.

• Bachelor’s degree required; MBA a plus or equivalent experience.

#LI-TH1

#LI-Hybrid

P22907_3361704

Based in Singapore and reporting to the Senior Director (APJ), you will lead the high-growth ASEAN & India Sales Development team. This high-visibility role owns the regional GTM strategy, driving inbound and outbound execution to build a high-quality revenue pipeline. You will lead the regional xDR strategy by optimizing processes and AI tools to drive productivity, outbound quality, and scale. As a people-first leader, you will recruit, onboard, and coach a diverse team of SDRs, fostering a culture of accountability and professional growth. Success requires partnering closely with Marketing, Sales, and Ops to refine account planning and lead-to-revenue conversion. You must be an expert in prospecting strategies, modeling best practices to ensure the team consistently meets pipeline targets in a fast-paced environment.

Core Responsibilities

• Regional Strategy: Own and execute the end-to-end Sales Development strategy for ASEAN & India to hit aggressive pipeline and revenue targets.
• Outbound Innovation: Architect and scale advanced, data-driven outbound plays (intent-based, persona-specific) and maintain a high bar for messaging quality.
• Operational Rigor: Optimize the GTM tech stack (SFDC, Outreach, AI) and partner with RevOps on territory design, capacity planning, and forecasting.
• Talent Engine: Recruit, coach, and develop a high-performing SDR team; build a structured path for internal mobility into AE and GTM roles.
• Cross-Functional Synergy: Lead the SDR-to-AE handoff process and collaborate with Marketing to optimize lead flow and conversion SLAs.

Requirements

• Experience: 7–10+ years in Sales Development/Inside Sales, with 3–6+ years in leadership (ideally managing managers).
• Track Record: Proven success in building outbound engines and delivering high-quality pipeline in complex B2B markets.
• Leadership Style: A "player-coach" who leads from the front, comfortable in the weeds of call coaching and at the table for strategic GTM planning.
• Analytical Depth: Data-driven mindset with the ability to translate activity metrics into actionable business insights.
• Commitment to a 4-day in-office work schedule

Okta’s Top 5 Core Leadership Competencies are part of the deeply ingrained principles that guide all of our company’s actions. They also align strongly to our cultural cornerstones, our Okta values: love our customers, empower our people, never stop innovating, act with integrity, and maintain transparency. It’s our expectation that our managers and leaders embody these core competencies:

• Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals.     
• Demonstrates Self-Awareness (EQ): Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses.
• Develops Talent: Developing people to meet both their career goals and the organization’s goals.
• Drives Results: Consistently achieving results, even under tough circumstances.
• Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies.

#LI-Onsite

#LI-MT1

P9182_3431334

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure.

Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential.

HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models.

Skills

• 3+ years of prior work experience in stat-arb required
• Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics)
• Exceptional academic credentials
• Demonstrated ability to conduct research using large noisy real-world datasets
• Exceptional attention to detail and desire to understand issues deeply
• Outstanding work ethic and ability to thrive in a fast-paced environment
• Strong numerical programming skills, including proficiency in Python for data analysis and machine learning. Experience with C++ a plus

The estimated base salary range for this position is $175,000 to $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

The Team

Our engineering team builds systems that interact with some of the most complex software  ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

We are looking for a fast-paced Sales Development Representative (SDR) with an entrepreneurial mindset to find new customers and opportunities. You’ll be searching for business while being an engaged member of the AI/ML community. You will prospect, qualify, and generate opportunities to support the overall growth of the business. 

What You’ll Do

• Research and map prospective new accounts for strategic outreach
• Cold call and email prospective customers 
• Utilize lead generation tools such as LinkedIn Sales Navigator, Outreach, ZoomInfo, Dux-Soup, and Salesforce 
• Partner with Account Executives to generate leads
• Develop, present and implement plans for acquiring new business and traction in your assigned area

What We’re Looking For

• Motivated by a career in sales
• Interested in the tech space
• A self starter, focused, dynamic, and eager to learn
• Someone who has excellent written & verbal communication skills 

Bonus Points, But Not Required

• Previous selling experience 

Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.

Who We're Looking For

What a day might look like

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. At Akuna we have a flat structure, where the best idea wins.

Our Founding Partners, including Andrew Killion, first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, Singapore and London.

• 3+ years of professional work experience in Options Trading or related field
• BS/MS/PhD in a technical field – Engineering, Statistics, Computer Science, Mathematics, Physics, or similar
• Understanding of advanced Mathematics: Calculus, Probability, Linear Algebra, Statistics and Optimization
• Working knowledge of statistical analysis, numerical linear algebra, machine learning or convex optimization
• Intermediate programming skills in Python (C++ is a plus)

About the Role

We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You’ll Be Doing

• Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
• System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput.
• Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
• Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
• Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.
• Drive Engineering Excellence: Champion best practices in software engineering, system reliability, and code quality while mentoring junior engineers through high-level system design and code reviews.

What We’re Looking For

• BS or MS in Computer Science or related field
• 5+ years of professional experience in software engineering with strong foundations in distributed systems.
• Expertise with Python or Go or C++
• Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
• Experience with the various stages of the ML development lifecycle
• Strong written and oral communication skills, with a track record of successfully taking ownership of infrastructure components and mentoring junior engineers.

Bonus Points

• Hands-on experience with ML model profiling and performance optimization for distributed training.
• Experience managing or working with high-performance compute resources (GPUs).
• Experience with ML frameworks such as PyTorch or Ray.
• Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

At the Riot Singapore Efficiency team, we're driven by innovation and optimization. Our team harnesses the power of Machine Learning approaches and Artificial Intelligence to reimagine the way we build games. By leveraging cutting-edge technology, we aim to streamline development processes, enhance creative workflows, which finally deliver immersive experiences to players around the globe. Join us in pushing the boundaries of what's possible in game development and shaping the future of interactive entertainment.

We are seeking a talented and experienced Data Scientist to join our AI team. As a Senior Data Scientist, you will play a key role in leveraging Machine Learning techniques to drive innovation and efficiency in our game development processes. You will collaborate closely with game teams to accelerate artists' pipelines, streamline workflows, and introduce novel tools aimed at enhancing player experiences.

Responsibilities

• Collaborate on the development and implementation of Machine Learning models aimed at accelerating creative pipeline optimizations, enhancing processes such as content creation, iteration, and integration.
• Work closely with game designers, engineers, and artists to identify opportunities for applying Machine Learning techniques to streamline creative workflows, improve asset generation, and enhance overall efficiency in game development.
• Design and conduct experiments to validate models, measure their impact on creative pipeline optimizations, and drive continuous improvement.
• Stay abreast of the latest advancements in Machine Learning, and gaming technology, and proactively explore innovative approaches to enhancing creative pipeline efficiencies.

Required Skills 

• Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
• At least 3 years of extensive experience in applying Data Science techniques to real-world problems, with a proven track record of delivering impactful data science solutions in a fast-paced environment.
• Proficiency in programming languages such as Python, R, C, C++, C#, and experience with libraries and frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of statistical analysis, experimental design, and data visualization techniques.
• Experience working with Generative Models, such as Score-based Diffusion Models, Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), to drive creative pipeline optimizations.
• Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Leadership experience, including mentoring junior team members, interns and driving cross-functional collaboration, is highly desirable.

Desired Skills 

• Experience working in the gaming industry or a related field is a plus.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks

• Full relocation support
• Full health insurance for you, your spouse and children
• Open paid time off
• Retirement benefits with company matching
• Life insurance, parental leave, plus short-term and long-term disability
• Play Fund so you can broaden and deepen your knowledge of our players and community through games
• We will double down on your donations of time and money to non-profits

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $225,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

#LI-DNI

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role:

As a Manager of Bare Metal Support Engineering, you'll be at the center of ensuring our dedicated infrastructure remains stable, reliable, and performant. You’ll lead daily support operations, triage incidents, drive escalations, and ensure that hardware is monitored, maintained, and delivered effectively for our clients. You'll oversee a team of experienced Systems Operations Engineers and help build a new team focused on our Bare Metal support model. This role balances tactical execution with operational maturity, working cross-functionally with engineering, product, and infrastructure teams to scale processes as we grow.

In this role, you will:

• Lead a skilled team responsible for maintaining and optimizing physical infrastructure across multiple client environments.
• Build, develop, and lead a dedicated Infrastructure Support team focused on supporting key infrastructure, handling escalations, and ensuring smooth hardware operations.
• Oversee the resolution of infrastructure-related incidents, escalation management, and collaborate with internal teams to deliver effective solutions.
• Improve support processes to enhance efficiency and reduce downtime, ensuring the infrastructure meets client expectations.
• Work closely with product, infrastructure, and other teams to ensure seamless delivery of infrastructure resources.
• Manage client communication during escalations and issue resolution to ensure transparency and client satisfaction.
• Mentor team members, developing their skills to manage and maintain critical infrastructure effectively.

Who You Are

• 5+ years of experience leading teams responsible for infrastructure support, data center operations, or physical compute environments.
• Hands-on experience with Linux system administration and command-line tools.
• Familiarity with hardware-level diagnostics, troubleshooting, and replacement (servers, power, cabling, etc.).
• Experience working with high-performance rack-scale hardware, including CPU and GPU-based compute nodes.
• Understanding of GPU infrastructure (e.g., NVIDIA A100/H100s, PCIe/NVLink, liquid cooling) or a demonstrated ability to quickly learn and adapt to HPC environments.
• Proven track record in incident and escalation management, with direct ownership of client or production-impacting issues.
• Experience managing ticket-based workflows (Jira, Zendesk, etc.) in a high-urgency technical environment.
• Comfortable interpreting and acting on metrics (MTTR, SLOs, backlog, ticket trends) to drive operational improvements.
• Skilled in managing scheduling, shift coverage, and team logistics in 24/7 or hybrid support models.
• Travel up to 30% annually

Preferred:

• Experience managing infrastructure support teams in high-growth or rapidly evolving environments.
• Proven ability to develop and implement operational processes that scale with business needs.
• Strong familiarity with server and GPU hardware lifecycle management: deployment, maintenance, thermal/power concerns, RMA coordination, and decommissioning.
• Demonstrated success in coaching and growing technical teams through training, mentorship, and performance development.
• Skilled in both developing and interpreting metrics to drive accountability, continuous improvement, and executive visibility.
• Familiarity with AI/ML workloads, cluster utilization patterns, or the infrastructure needs of GPU-heavy clients is a plus.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• Have a track record of improving infrastructure reliability through clear processes and team accountability.
• Think critically about how to scale operations without overengineering.
• Care about delivering for customers—but know when to hold the line to protect the team and long-term goals.
• Communicate clearly, especially under pressure.
• Are comfortable getting close to the work, but know when to step back and lead.
• Thrive in fast-paced environments where priorities can shift quickly.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $170,000 to $240,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

#LI-DNI

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Options, Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an excellent Quantitative Developer to design, develop new and improve existing pricing and trade execution systems for our Asia Equity Options business. As a member of the desk, you will be integral in the interaction between research and trading teams. You will have the opportunity to work with cutting-edge low latency technologies and will be surrounded by senior technologists providing you with the best possible environment to succeed.

How you will make an impact:

• Building and improving high-availability, production systems in C++ and Python with resource and latency constraints
• Analyzing and discussing requirements from stakeholders
• Facilitating discussions on code implementation, testing, software architecture best practices
• Driving projects and leading new initiatives
• Actively engaging with others on the development team to resolve challenging design and coding issues
• Evaluating appropriate new technologies, tools, frameworks and software components for integration

What you bring to the team:

• 3+ years of hands-on experience in quantitative software development, preferably at a trading firm or systematic fund
• Strong production experience in Python and C++, including Boost, STL and data analysis workflows (pandas, polars, or similar)
• Strong experience working on highly distributed systems
• A background in multi-threaded programming and a strong understanding of hardware/software interaction
• Solid understanding of ML concepts as applied to systematic strategies, from research through production
• Prior experience working on options or derivative products is a plus
• Dedicated team player and a passionate problem solver with strong interpersonal skills
• Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams
• Meticulous attention to details and accuracy in work
• Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures and other state-of-the-art frameworks — and the ability to turn that knowledge into high-impact, production-ready solutions.

The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with a strong ML background from tech, startups, or academia will also be considered.

Responsibilities

• Research, design, and deploy robust ML models.
• Build and maintain scalable, production-level ML pipelines.
• Extract signals from large, noisy, real-world datasets.

Qualifications

• PhD (or exceptional MSc) in ML, Computer Science, or related field.
• Deep theoretical and practical knowledge of core ML algorithms, and comfortable experimenting with model architectures, feature engineering, and hyperparameter tuning to produce high-performance and resilient models.
• Proven experience taking ML models from research to live production.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

About the Role

We are looking for a high-energy, strategic Enterprise Account Executive to join our growing ASEAN team based in Singapore! In this role, you will be the driving force behind Dataiku’s expansion into Southeast Asia, with a primary focus on the Thailand market and a secondary focus on Malaysia.

You will engage with large enterprises to help them develop a more efficient, AI-driven approach using our Data Science Studio (DSS) platform. As an Enterprise AE, you are responsible for the entire sales cycle—from initial outreach to closing—while leveraging cross-functional resources in Marketing, Product Management, and Engineering to ensure customer success.

How You’ll Make an Impact

• Market Expansion: Drive strategic revenue growth through proactive outreach and territory planning within the Thailand and Malaysia enterprise sectors.
• Vision Alignment: Develop C-Level vision matches with prospects, cultivating internal champions and aligning diverse stakeholder groups.
• Thoughtful Education: Educate complex organizations on the transformative value of Dataiku and Collaborative AI in a consultative, value-driven way.
• End-to-End Management: Navigate multiple customers simultaneously through various stages of the Dataiku buying cycle (Discovery to Close).
• Cross-Functional Collaboration: Serve as the "voice of the customer," collecting feedback to drive continuous improvement across Product, Legal, and Security teams.
• Strategic Positioning: Provide tailored recommendations based on specific business needs and regional usage patterns within the ASEAN landscape.

What You’ll Need to Be Successful

• Experience: 10-12 years of experience in software field sales, specifically selling into large enterprises within Southeast Asia.
• Territory Expertise: A proven track record of success in the Thailand and/or Malaysia markets, with an established network of enterprise contacts.
• Language Skills: Business-level English is required; proficiency in Thai is highly advantageous given the primary market focus.
• Innovation Mindset: Background in selling "new concept" technologies or innovative software (Big Data, Analytics, AI/ML, or Data Integration).
• Communication Mastery: Advanced interpersonal skills with the ability to articulate complex competitive positioning clearly.
• Adaptability: A growth mindset with the ability to thrive in a fast-paced, evolving "scale-up" environment.
• Domain Knowledge: Preferred expertise in Data Science, BI/DW, or Data Integration.

#LI-CM

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore.

Key Responsibilities:

• Algorithm Design & Implementation:
• Develop detailed specifications for new and enhanced execution algorithms.
• Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python.
• Tooling:
• Build robust and reusable tools in Python to improve the overall team productivity.
• Market Impact Modelling:
• Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading.
• Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy.
• Transaction Cost Analysis (TCA):
• Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization.
• Provide actionable insights to portfolio managers and traders.
• Collaboration:
• Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives.
• Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation

What You’ll Bring:

• PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies.
• Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator.

• Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments.

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring:

• Candidates holding or pursuing a Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

Role Summary and Impact 

We're on a mission to democratize AI across our analytics team, and we need a trailblazing leader to helm this effort. As the Data Analytics and BI lead, you'll develop and execute a strategy to enable our analytics team members with AI capabilities, empowering them to drive business growth and deliver exceptional client value.

Skills and Experience 

What you will do:

• Develop AI enablement strategy: Create a comprehensive plan to upskill and reskill our analytics team members with AI capabilities, aligning with business goals and objectives.
• Design and deliver AI training programs: Collaborate with internal stakeholders to design and deliver training programs that cover AI fundamentals, machine learning, and data science.
• Develop AI-powered tools and platforms: Lead the development of AI-powered tools and platforms that augment our analytics team's capabilities, driving efficiency, accuracy, and innovation.
• Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
• Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.

Role requirements:

• Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience: 10+ years of experience in AI engineering, with 5+ years in a leadership role.
• Technical expertise: Strong background in AI, machine learning, and software engineering, with experience in languages such as Python, Java, or C++.
• Knowledge of cloud-based AI platforms: Experience with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Leadership skills: Proven track record of leading high-performing teams, with excellent communication, mentoring, and project management skills.
• Business acumen: Understanding of business operations, market trends, and the media industry.
• Please note the team will be prioritizing applicants who are already based in Singapore for this role.

Nice to have:

• Experience with media analytics: Familiarity with media measurement, data analytics, and advertising technology.
• Certifications in AI or machine learning: Certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

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 particular 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

What will you be doing? 

Microsoft and InMobi have entered into partnership, as per which, InMobi will be the preferred partner for Microsoft’s Search and Audience Inventory (Native Display, Video and CTV). Microsoft Advertising empowers the largest advertisers around the world to reach their maximum potential through Search, Native, Video and Display advertising on Microsoft platforms and inventory. InMobi will be responsible for sales and development followed by end to end management of these client activities.

We are seeking a top performing Sales Manager with online advertising/Sales experience who can drive revenue and increase customer satisfaction by developing and cultivating strategic client relationships and delivering customized branding solutions by aligning to the client’s advertising needs.

The Sales Manager for display advertising enables Microsoft to better serve strategic customers by applying customer obsession to what clients care about and need, ensuring our Microsoft story is valued and understood, and acting to build successful, long-term relationships. The Sales Manager drives both revenue and customer satisfaction.

The Sales Manager drives new account acquisition and grows incremental revenue against a targeted list of high potential agencies through engagement. In conjunction with the Central teams and Account Managers, Sales Manager develops quality customer plans laying out revenue and customer satisfaction growth strategies. Success is measured by specific key performance indicators focused on driving product adoption, emphasizing customer experience and optimizing opportunities. In addition, the Sales Manager builds and maintains a pipeline of clients and agencies new to the Microsoft Audience Network proposition.

What is expected out of you?

• Build and manage the agency relationships in SEA with primary focus on Singapore
• Collaborate with the Sales teams to enable new client acquisition, cross-selling, upselling and increased product adoptions via existing clients
• Enable workshops, roadshows and hotdesking with agency and key clients with revenue and product adoption as focus
• Build and enable Key client relationships for the Account management teams
• Represent Microsoft Advertising via InMobi in the advertising community by seeking out and participating in agency and industry opportunities/forums
• Manage pipeline, revenue forecasts, and sales activity using Salesforce for maximum efficiency and visibility
• Maintain high levels of communication and transparency with management, cross-functional teams, and business partners to enable smooth collaboration
• Hit and exceed quarterly revenue expectations
• Build role and partnership presence in the advertising ecosystem.
• Work with agency heads and their respective planning & implementation teams to include Microsoft Advertising solutions in their digital media campaigns

Key Requirements: 

• Minimum 6-8 years’ online media sales/ advertising sales experience required
• Bachelor’s degree required; Advanced degree preferred
• Proven track record of exceptional performance, high productivity, communications skills and meeting deadlines
• Demonstrated ability to consistently meet or exceed revenue goals or targets
• Proven ability to understand customer needs, create and deliver customized, customer-focused pitches and solutions
• Effectively navigate through ambiguity and complexities related to client management
• Talented in storytelling and delivering engaging presentations across all levels of leadership
• Ability to navigate customer sales negotiations and technical presentations in person and remotely
• Solid knowledge of the branding industry, native display products, customer's needs, Microsoft’s strategy and how they work together
• Passion for technology as an enabler for company growth
• Location: Singapore, should be willing to travel

About the role

We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations.

Key responsibilities

• Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
• Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives
• Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
• Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations
• Establish and implement reporting dashboards and scorecards to track key operational and financial metrics

Minimum qualifications

• Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
• Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models
• Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
• Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
• Excitement about working in a fast paced, dynamic environment and adapt well to change
• Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
• Strong relationship building, business judgment, process management, and communication skills
• Are passionate about Anthropic's mission to build safe, transformative AI systems

Preferred qualifications

• 10+ years of experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
• GTM Finance Business Partnership experience
• A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking
• Experience with consumption based and/or complex business models
• High knowledge of and interest in effective go-to-market strategies including deal-desk management
• Background in AI, ML, or related technologies

Who We're Looking For

As a Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role 

As a machine learning engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

You'll:

• Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
• Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
• Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
• Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
• Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.

As an early member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

Scope of Work

• Follow Dataiku’s structured 30/60/90-day onboarding plan to ramp up effectively.
• Shadow Sales Engineers, Customer Success Managers, and Services consultants to build on-the-job proficiency.
• Lead and execute 1-to-many scaled programs (e.g., webinars, office hours, user coaching, enablement sessions).
• Develop reusable assets, such as demo projects, use cases, and technical presentations, tailored to specific industries or functions.
• Participate in direct 1:1 customer engagements alongside experienced team members to gain real-world exposure.
• Represent and promote the Dataiku Academy Program within your university, engaging lecturers and peers.
• Drive special initiatives and collaboration projects with cross-functional teams.

Requirements

• 6-month full-time internship
• Currently pursuing or recently completed a diploma or degree in Computer Science, Information Systems, or a related field.
• Academic or practical background in Data Engineering and/or Data Science, with exposure to AI/ML concepts.
• Strong communication skills and a desire to work directly with customers and cross-functional teams.
• Comfortable presenting, running workshops, or engaging in group discussions.
• Self-starter with a passion for technology, learning, and driving value for users.

What You’ll Gain

• Firsthand experience in one of the world’s leading AI platforms.
• Exposure to customer engagement strategies, solution development, and AI/ML real-world applications.
• Mentorship from experienced professionals in sales engineering, customer success, and professional services.
• Opportunity to build a portfolio of work (e.g., assets, demos, customer initiatives) that can support future career growth.
• A potential career pathway into a full-time role at Dataiku or with our broader partner ecosystem and customers.

Join us and help shape the future of Everyday AI.

As a Backend Engineer for this venture, you will architect the digital backbone of our next-generation social platform. You'll design and build robust, scalable systems that power everything from seamless media delivery and real-time social interactions to our intelligent content discovery engine. Your day will involve rapidly shipping MVPs for our Creator and Content Operation platforms, ensuring our internal tools are as powerful as our user-facing app. You will drive the technical direction of our platform by collaborating with product managers and AI engineers to translate ambitious ideas into scalable architecture.

【The Impact You'll Make】

• Build Creator & Ops Platforms: Design and own the high-velocity services that power our creator ecosystem and internal content operation tools.

• Design and Build Core Services: Architect and develop fundamental backend services and APIs that support content delivery, user interactions, and real-time engagement.

• Develop Scalable Systems: Build and optimize large-scale distributed systems for media processing, storage, and high-concurrency content distribution.

• Architect Data Infrastructure: Design our data infrastructure to support real-time analytics and empower machine learning recommendation systems.

• Ensure Platform Integrity: Implement robust content ecosystem and safety mechanisms to maintain platform health and user trust.

• Enable Real-time Engagement: Create scalable real-time services for social features including messaging, notifications, and live interactions.

【Who You Are】

• 3+ years of backend development experience with a strong track record of building and scaling distributed systems in a fast-paced environment.

• Generalist Mindset: Deep proficiency in at least one major backend language (Go, Java, or Python) and the adaptability to pick up new tools as the product evolves.

• Fast Builder: You thrive on shipping early versions of a product quickly and are comfortable prioritizing "speed-to-market" over rigid big-company processes.

• Product-Focused: Experience building B2B or B2C service applications; you prefer solving user-facing problems rather than purely low-level infrastructure.

• System Design Expert: Strong experience with relational/NoSQL databases, message queues, and caching systems (Redis, Kafka, Postgres, etc.).

• Collaborative & Scrappy: Proven ability to work in a startup setting where you own features from design to launch, supported by an internal Ops/Infra team.

• Solid Fundamentals: Deep understanding of data structures, algorithms, and how to design high-traffic backend services.

【Bonus Qualifications】

• Experience with media streaming protocols or processing pipelines.

• Knowledge of recommendation systems or machine learning infrastructure.

• Background in real-time communication technologies.

• Previous experience building social platforms or content-driven products.

【Why Join This Venture】

This is a startup within a proven industry leader. You'll get the ideal combination of a startup's autonomy, impact, and velocity with the resources, stability, and expertise of AppLovin. As a founding engineer, you'll have unparalleled ownership over our technical architecture and the opportunity to build systems from the ground up that will serve millions of users. You'll work with cutting-edge technologies while solving unique challenges in social networking and AI-driven content discovery. Join our small, mission-driven team and help create the next growth story from scratch.

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

 

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

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Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. 

 

 

 

 

             

Mission Summary

The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 
• Prior experience with agentic workflows is a plus.
• Prior experience in autonomous vehicles (AV) is a plus.