The successful candidate will be comfortable interacting directly with portfolio managers, and will bring strong project management, communication, domain knowledge, and collaboration skills.

Principal Responsibilities:

• Build and maintain strong relationships with portfolio managers and senior business management
• Act as a tech-savvy partner to PM teams, helping with technical inquiries and identifying the most suitable solutions
• Interface with stakeholders across the organisation at multiple levels of seniority
• Perform business analysis and project management, including requirements gathering across platforms and coordinating project-level integration
• Drive the rollout of our Launchpad and related application suite

Qualifications / Skills Required:

• 5+ years of relevant experience
• Solid financial markets experience, including exposure to trading applications, risk management, operations, middle office, and Fixed Income products
• Subject matter expertise in Fixed Income pricing and related technology
• Strong interpersonal, written, and verbal communication skills, with prior experience engaging directly with portfolio managers
• Business analysis and hands-on project delivery experience across the full SDLC for major change initiatives at an investment bank, buy-side firm, exchange, or software vendor
• Ability to communicate in detail with development teams and users, and to provide clear, concise updates to senior stakeholders
• Coding/scripting skills and experience using AI tools are a strong plus

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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You will build reliable, scalable data products and user experiences that power AI/ML modeling, agentic workflows, and reporting,working end-to-end from data ingestion and transformation through to UI. Our Python-based data platform is undergoing a major evolution toward a modern, cloud-native ELT architecture. We are standardizing on Snowflake as our central data platform and dbt as our core transformation framework, implementing scalable, maintainable ELT practices that simplify ingestion, modeling, and deployment.

This role will be pivotal in independently designing and building robust data pipelines and semantic layers that directly power our AI and machine learning initiatives,delivering clean, reliable, and well-modeled data assets to our data science team for feature engineering, model training, and production inference. You will collaborate closely (primarily via remote channels) with data scientists and ML engineers to ensure our data ecosystem is optimized for experimentation speed, model performance, and seamless integration into downstream products and services.

Key Responsibilities

• Remote collaboration & communication: Operate effectively as an offshore member of a distributed team, proactively communicating status, risks, and blockers across time zones and coordinating overlap with US working hours as needed.

• Full-stack data engineering: Build across the entire stack, including data ingestion/acquisition and transformation, APIs, front-end components, and automated test suites, delivering production-grade solutions with minimal hand-holding.

• Autonomous delivery & ownership: Take end-to-end ownership of features and projects,clarifying requirements, breaking work into milestones, estimating timelines, and delivering high-quality, well-documented solutions.

• Specification and design: Translate short- and long-term business requirements, architectural considerations, and competing timelines into clear, actionable technical specifications and design documents.

• Code quality: Write clean, maintainable, efficient code that adheres to evolving standards and quality processes, including unit tests and isolated integration tests in containerized environments.

• Continuous improvement: Contribute to agile practices and provide input on technical strategy, architectural decisions, and process improvements, continuously suggesting better tools, patterns, and automation.

Required Skills & Experience

• Professional experience: 5+ years in software engineering, with a full-stack background building complex, scalable data-engineering pipelines using data warehouse technology, SQL with dbt, Python, AWS with Terraform, and modern UI technologies.

• Modern data engineering: Strong experience with medallion data architecture patterns using data warehouse technologies (e.g., Snowflake), data transformation tooling (e.g., dbt), BI tooling, and NoSQL data marts (e.g., Elasticsearch/OpenSearch).

• Testing and QA: Solid understanding of unit testing, CI/CD automation, and quality assurance processes for both data pipeline testing and operational data quality tests.

• Remote work & autonomy: Proven track record working in a remote or distributed environment, demonstrating self-motivation, reliable execution, and the ability to make sound technical decisions independently.

• Agile methodology: Working knowledge of Agile development practices and workflows (e.g., sprint planning, stand-ups, retrospectives) in a distributed team setting.

• Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.

Preferred Skills & Experience

• Machine learning and AI: Hands-on experience with large language models (LLMs) and agentic frameworks/workflows.

• Search and analytics: Familiarity with the ELK stack (Elasticsearch, Logstash, Kibana) for search and analytics solutions.

• Cloud expertise: Experience with AWS cloud services; familiarity with SageMaker; and CI/CD tooling such as GitHub Actions or Jenkins.

• Front-end expertise: Experience building user interfaces with Angular or a modern UI stack.

• Financial domain knowledge: Broad understanding of equities, fixed income, derivatives, futures, FX, and other financial instruments.

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We are seeking a highly experienced Sr. Engagement Manager to join our team in Sydney. As a Sr. Engagement Manager, you will be responsible for helping customers accelerate value through the adoption of the Databricks platform.

Key Responsibilities:

• Collaborate with sales counterparts and engage early in the sales process to understand customer needs and exceed expectations in delivery and developing valued solutions

• Identify opportunities for new services by understanding and addressing potential new use-cases and articulating the business value in upsell or extension of services

• Develop commercial models including leveraging Databricks and Partner investment vehicles to help address customer budgetary constraints for success

• Perform as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training KPIs

• Articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer

• Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits

• Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations

What We Look For:

• Data and AI domain knowledge and experience working with customers to realise business value through to production implementations

• Proven experience in senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution

• Excellent customer-facing skills and the ability to communicate with and develop strong relationships at all levels including with senior executives both internally and externally

• Consistent track record of identifying customer needs and successfully implementing solutions

• Strong leadership experience, the ability to enforce good project governance and drive delivery excellence

• Strong service delivery and program management skills with the ability to synthesise customer success outcomes into well-structured program plans that deliver against such outcomes

• Proven experience in estimating effort and scope for services

• Proven experience in meeting and achieving KPI and targets including CSAT, Bookings and Revenue

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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You will be directly working with customers to guide and influence their data warehousing architecture and decisions. You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors.

You will partner with the Product Manager(s) to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams.

You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts.

You will meet with customers to communicate the vision and gather feedback.

You have expertise in cloud-based data warehousing technologies, modern data platform architectures, traditional data warehousing techniques, and preferably industry domain knowledge.

You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

• Lead the vision and strategy for Data Warehousing Adoption in Asia Pacific and Japan

• Develop materials for our GTM team to effectively communicate our value proposition

• Support our field teams in key strategic pursuit opportunities

• Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market

• Act as the thought leader to build confidence and relationships with our customers at the executive level

• Present externally at conferences, events, and webinars and publish content to establish our position in the market

• Work with post sales and partners to establish migration best practices

• Act as a cross-functional representative with Product Management, Product Marketing, and Engineering on our go-to-market motion

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You will be responsible for driving project excellence across our QTC technology initiatives, including quote-to-order systems, billing platforms, revenue recognition systems, and collections management, ensuring alignment with business objectives and maintaining visibility into project health and outcomes. This is a critical role that will directly impact our ability to build scalable QTC infrastructure that supports Anthropic's rapid growth and mission to create safe AI.

Responsibilities:

• QTC Portfolio Management: Own end-to-end management of the Quote to Cash Systems project portfolio, including quote-to-order implementations, billing platform transformations, revenue recognition system upgrades, and collections automation projects

• Revenue Operations Excellence: Develop and implement comprehensive governance frameworks for QTC project management, including standardized processes for system integrations, process optimization, stakeholder alignment, and delivery excellence across the revenue lifecycle

• QTC Program Coordination: Establish robust reporting and monitoring mechanisms for complex QTC program execution spanning quote management systems, billing engines, ERP integrations, and downstream financial reporting systems

• Risk & Delivery Management: Proactively identify, assess, and mitigate QTC-specific program risks including delivery delays, integration challenges, stakeholder misalignment, and business continuity concerns, developing contingency plans and escalation procedures

• Cross-Functional QTC Leadership: Lead collaboration with Sales Operations, Revenue Accounting, Customer Support, Legal, and Engineering teams to ensure seamless program alignment and successful delivery across the entire QTC transformation portfolio

• QTC Change Management: Design and execute comprehensive change management strategies for QTC transformations, ensuring smooth adoption across sales teams, billing operations, and revenue accounting processes throughout the organisation

• QTC Strategic Roadmap: Partner with the Head of Finance Systems to align QTC program priorities with revenue growth strategy, enterprise sales enablement, and public company readiness requirements

You may be a good fit if you:

• Have 10+ years of experience in program management, PMO leadership, or QTC transformation roles, with strong understanding of quote to cash processes and systems

• Have extensive experience managing complex QTC technology programs including quote management, billing platforms, revenue recognition systems, and cross-system integrations

• Possess strong analytical and program management skills with deep understanding of QTC metrics, process optimisation, and stakeholder alignment across revenue operations

• Are skilled at building and maintaining relationships with QTC stakeholders including Sales Operations, Revenue teams, Customer Support, and Billing Operations at all levels of an organisation

• Have experience designing and implementing program governance frameworks in fast-paced, high-growth environments with complex revenue models and multi-system architectures

• Are proficient in program management methodologies and tools, with solid knowledge of QTC best practices and revenue operations frameworks

• Have excellent communication and presentation skills, with the ability to convey complex program information to both technical teams and business stakeholders including sales and finance leadership

• Demonstrate strong problem-solving abilities in managing QTC domain challenges and can navigate complex integrations while maintaining focus on delivery excellence and business outcomes

• Are passionate about building scalable program management processes that support rapid revenue growth and enterprise transformation initiatives

Strong candidates may have:

• Experience in QTC program leadership across multiple systems implementations (CPQ, billing platforms, revenue recognition tools)

• Background in revenue operations, sales operations, or billing operations with hands-on understanding of QTC process challenges and optimisation opportunities

• Knowledge of QTC processes including opportunity management, quote-to-order workflows, billing automation, payment processing, revenue recognition, and collections from a program oversight perspective

• Experience working in high-growth technology companies managing complex transformations with subscription models, usage-based

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This is a rare opportunity to architect and build distributed systems that will fundamentally change how large organisations approach application security and developer security workflows.

As the SRM Stage Lead, you'll be responsible for transforming our engineering culture toward high-performance distributed systems while delivering an exceptional user experience for both Application Security professionals and Developers.

You'll own the technical strategy for processing, analysing, and remediating vulnerabilities across massive codebases and complex enterprise environments.

Technical Leadership & Architecture

• Design distributed systems architecture capable of processing vulnerability data from thousands of repositories, millions of commits, and complex dependency graphs in real-time
• Drive storage system decisions for multi-petabyte security datasets, balancing query performance, cost efficiency, and data retention requirements across time-series, graph, and document storage paradigms
• Architect scalable analysis pipelines that can ingest vulnerability feeds, correlate findings across multiple security tools, and provide actionable intelligence to both security teams and individual developers
• Lead the technical evolution from monolithic security scanning to microservices-based, event-driven vulnerability management systems

Engineering Culture Transformation

• Champion high-performance systems thinking throughout the team, establishing patterns for horizontal scaling, efficient resource utilisation, and fault-tolerant distributed computing
• Establish technical standards for system observability, chaos engineering, and performance optimisation in security-critical systems
• Mentor and develop senior engineers in distributed systems design, database optimisation, and large-scale system architecture
• Drive architectural decision records (ADRs) for major technical decisions, particularly around data storage, processing frameworks, and system boundaries

Product & User Experience Excellence

• Own the end-to-end user journey (in partnership with PM) for both AppSec professionals managing enterprise-wide risk and developers receiving actionable security feedback in their workflow
• Design APIs and interfaces that abstract complexity while providing the power and flexibility that security professionals demand
• Collaborate with Product Management, UX and Product Design to translate complex technical capabilities into intuitive user experiences
• Establish feedback loops with large enterprise customers to ensure our technical solutions scale with their organisational complexity

Strategic Technical Execution

• Evaluate and integrate cutting-edge technologies in areas such as graph databases, stream processing, machine learning inference at scale, and distributed caching, in collaboration with GitLab’s Infrastructure, Data and AI teams
• Own the technical roadmap for vulnerability correlation, risk scoring, and automated remediation workflows
• Drive partnerships with other GitLab stages to ensure seamless integration across the DevSecOps platform
• Lead incident response for availability and performance issues in customer-facing security systems

What You’ll Bring

• 10+ years of software engineering experience with 5+ years leading distributed systems at scale (>100M daily operations)
• Deep expertise in designing and operating high-throughput, low-latency distributed systems with complex data models
• Proven experience with polyglot persistence strategies, including relational databases (PostgreSQL, Cloud Spanner), time-series databases, graph databases, and distributed key-value stores
• Strong background in stream processing frameworks (Apache Kafka, Apache Flink, or similar) and event-driven architectures
• Hands-on experience with container orchestration (Kubernetes) and cloud-native observability stacks
• Security domain knowledge with understanding of vulnerability assessment, static analysis, dependency scanning, or application security testing

Leadership & Communication

• Proven track record of leading and growing high-performing engineering teams (40+ engineers)
• Experience transforming engineering culture and establishing technical excellence standards in fast-growing organisations
• Strong technical communication skills with ability to present complex architectural decisions to executive stakeholders
• Collaborative leadership style with experience working across multiple engineering teams and product stakeholders

Problem-Solving & Innovation

• Systems thinking approach to complex technical problems with demonstrated ability to make appropriate trade-offs between performance, scalability, and maintainability
• Experience with A/B testing frameworks and data-driven decision making in technical contexts
• Track record of successfully delivering large-scale technical migrations or architectural transformations
• Startup or high-growth company experience with ability to balance technical debt with rapid feature delivery

About the team

Security Risk Management sits at the heart of modern DevSecOps. The systems you build will directly impact how Fortune 500 companies protect their applications and how millions of developers integrate security into their daily workflow.

You'll have the opportunity to define the future of application security tooling while working with some of the most challenging distributed systems problems in the industry.

The Technical Challenge

You'll be solving some of the most interesting distributed systems problems in the security space:

• Scale: Processing vulnerability data for organisations with 100,000+ repositories and millions of developers
• Performance: Sub-second query response times for complex security analytics across massive datasets
• Reliability: 99.95%+ uptime SLAs for security-critical workflows that can't afford downtime
• Complexity: Correlating findings across 20+ different security tools while maintaining data lineage and audit trails
• User Experience: Making complex security data accessible to both security experts and developers with varying security expertise

Salary

The base salary range for this role’s listed level is currently for residents of the United States.

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

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

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

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Key responsibilities include:

• Architect scalable pipelines to unify disparate metrics into a single, accurate source of truth
• Enable advanced analytics through real-time and near-real-time dashboards for operational capacity and demand managers
• Support AI agent development by ensuring data pipelines are architected to synthesize complex data and inform high-stakes infrastructure decisions
• Cross-functional synthesis with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health

The ideal candidate will have a Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field, with 6+ years of professional experience in data engineering or data science. They will have expert-level proficiency in Python and SQL, and experience with modern data stack tools and software development best practices.

In addition to a competitive salary, CoreWeave offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible PTO, catered lunch, and a casual work environment.

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As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way.

Key responsibilities include partnering closely with data collection teams, research teams, and the Engineering team to establish and govern internal data collection efforts, ensure seamless delivery of new evaluations and data collections, and oversee design and implementation of new environments for data collection or robot platform modifications.

You will also monitor and report on operational efficiency and resource utilization metrics, evaluate and improve processes, tools, templates, and documentation for repeatability and sustainability, and implement processes and methodologies to reduce operational costs.

To succeed in this role, you must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind's research through strategic cross-functional partnerships.

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

• Experience partnering with Research/Engineering leads on high impact, goal-oriented projects.
• Bachelor's degree in an engineering discipline along with equivalent practical experience of 5+ years.
• Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
• Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.
• Experience in solving complex challenges, implementing scalable and sustainable solutions.
• Knowledge of, or curious to learn about AI/machine learning research.
• Familiar with hardware and software testing and associated safety protocol.

In addition, the following would be an advantage:

• Robotics domain knowledge and experience.
• Master's degree in a relevant field (Robotics/AI).
• Experience managing operational teams.
• Experience in a technical lab or production environment.

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This role is focused on handling operational relationship management with integration partners, including developing a deep understanding of how these partners leverage Anchorage Digital’s products, services, and API integrations to serve their businesses and end customers. This is an internal- and external-facing role, requiring leadership of cross-functional teams to drive strategic initiatives, gain consensus among stakeholders, and manage against internal and external deadlines.

The successful candidate will be comfortable with navigating API-based business models, building out strong client servicing teams, and maintaining an understanding of the crypto ecosystem’s users, participants, and products (including familiarity with the requirements, behaviors, needs of institutional & retail clients engaging with liquidity providers, exchanges, agency desks, custodians, and prime brokers in both traditional finance and DeFi), as well as demonstrating strong experience in traditional financial services.

Key Responsibilities:

Operational Support and Relationship Management:

Intimately understand the operational construct of our integration partners to help them navigate how Anchorage Digital serves their operational needs; manage a team that provides day to day client servicing and inquiry management support for these partners.

Cross-Segment Advocacy:

Apply expertise in both institutional and retail crypto landscapes to anticipate client needs and advocate internally on behalf of our partners for product enhancements and services that serve a diverse user base with a white-glove service mindset.

Execution-Oriented Thought Partnership:

In collaboration with GTM, operations, and technical teams, act as an owner in developing specialized processes and procedures to ensure our support model develops alongside the business strategy of our partners.

Technical Escalation & Liaison:

Act as the lead point of contact for these partners, resolving high-priority escalations and managing cross-organizational dependencies to ensure a "white-glove" resolution.

Oversight and Regulatory Integrity:

Where applicable, support the design and execution of governance and quality controls to monitor the quality of external processes performed by these partners, which may impact Anchorage Digital’s regulatory standing and reputation.

Technical Skills & Expertise:

API Troubleshooting & Incident Management:

Demonstrates familiarity/comfort with API architecture and the ability to partner with technical teams to investigate and help diagnose technical issues related to Anchorage Digital’s core product suite.

Crypto Domain Knowledge:

Maintains an excellent understanding of blockchains and their nuances, specifically how they impact both retail and institutional use cases.

Policy Implementation:

Applies Anchorage Digital policies and procedures to resolve multifaceted issues arising from integrations; has strong experience working within regulatory frameworks.

Seasoned Financial Services:

Understands requirements, behaviors, needs of institutional & retail clients engaging with liquidity providers, exchanges, agency desks, custodians, and prime brokers in both traditional finance and DeFi.

Complexity and Impact of Work:

Strategic Relationship Management:

Manages the technical and operational health of relationships with strategic clients, working in lock-step with Sales and Relationship Management to defend assets in custody.

Communication and Project Management:

Streamlines the integration and communication of new product releases, acting as the primary driver to alleviate roadblocks between integration partners and internal teams.

Advocacy:

Maintains the "Book of Work" for strategic integration clients, prioritizing bespoke technical requests and product/feature enhancements, as well engaging teams such as compliance, legal, and operations to design support for evolving service models and new business ventures.

Oversight:

Where applicable, support the design and execution of governance and quality controls to monitor the quality of external processes performed by these partners, which may impact Anchorage Digital’s regulatory standing and reputation.

Communication and Influence:

Cross-Team Thought Leadership & Influence:

Navigate ambiguity, build social capital, translate complexity, and champion the "why" by proactively identifying friction points, using data-driven insights to influence priorities & roadmap, demonstrating clear understanding of our integration partners and their importance to Anchorage Digital’s overall long-term strategy,

Reporting:

Proactively shares information and status updates with internal stakeholders and integration partners to ensure alignment on organizational goals.

Mentorship:

Effectively manages, develops, and creates growth roadmaps for CXM team members within the segment.

Additional Information About Anchorage Digital:

Who we are

The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

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This role is focused on handling operational relationship management with integration partners, including developing a deep understanding of how these partners leverage Anchorage Digital’s products, services, and API integrations to serve their businesses and end customers. This is an internal- and external-facing role, requiring collaboration with cross-functional teams to drive strategic initiatives, gain consensus among stakeholders, and manage against internal and external deadlines.

The successful candidate will be comfortable navigating API-based business models, building and maintaining an understanding of the crypto ecosystem’s users, participants, and products (including familiarity with the requirements, behaviors, needs of institutional & retail clients engaging with liquidity providers, exchanges, agency desks, custodians, and prime brokers in both traditional finance and DeFi), as well as demonstrating strong experience in traditional financial services.

Key Responsibilities:

Operational Support and Relationship Management:

Understand the operational construct of our integration partners to help them navigate how Anchorage Digital serves their operational needs;

Cross-Segment Advocacy:

Apply expertise in both institutional and retail crypto landscapes to anticipate client needs and advocate internally on behalf of our partners for product enhancements and services that serve a diverse user base with a white-glove service mindset.

Technical Escalation & Liaison:

Act as the point of contact for these partners, resolving high-priority escalations and managing cross-organizational dependencies to ensure a "white-glove" resolution.

Oversight and Regulatory Integrity:

Where applicable, support the design and execution of governance and quality controls to monitor the quality of external processes performed by these partners, which may impact Anchorage Digital’s regulatory standing and reputation.

Technical Skills & Expertise:

API Troubleshooting & Incident Management:

Demonstrates familiarity/comfort with API architecture and the ability to partner with technical teams to investigate and help diagnose technical issues related to Anchorage Digital’s core product suite.

Crypto Domain Knowledge:

Maintains an excellent understanding of blockchains and their nuances, specifically how they impact both retail and institutional use cases.

Policy Implementation:

Applies Anchorage Digital policies and procedures to resolve multifaceted issues arising from integrations; has intermediate experience working within regulatory frameworks.

Financial Services Proficiency:

Moderate understanding of requirements, behaviors, needs of institutional & retail clients engaging with liquidity providers, exchanges, agency desks, custodians, and prime brokers in both traditional finance and DeFi.

Complexity and Impact of Work:

Strategic Relationship Management:

Supports CXM Lead on the technical and operational health of relationships with strategic clients, working in lock-step with Sales and Relationship Management to defend assets in custody.

Communication and Project Management:

Assists in the integration and communication of new product releases.

Advocacy:

Assist, as needed, in maintaining the "Book of Work" for strategic integration clients, prioritizing bespoke technical requests and product/feature enhancements, as well as collaborating with teams such as compliance, legal, and operations in support of service models and new business ventures.

Communication and Influence:

Reporting:

Proactively shares information and status updates with internal stakeholders and integration partners to ensure alignment on organizational goals.

Growth & Development:

Effectively manages, develops, and creates growth roadmaps for CXM team members within the segment.

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Our ideal candidate will have strong technical and business solution expertise, with the ability to articulate complex technical concepts in a clear and compelling way. You will deliver impactful presentations, product demonstrations, and deep dives across customer engagements and industry events.

The Quantexa Solution Engineering team is the first touchpoint for prospective organisations, shaping the early stages of the customer journey and setting the direction for a successful engagement. In this role, key responsibilities include:

• Communicating the value and impact of the Quantexa Decision Intelligence Platform, helping prospects understand how it enables smarter, faster, and more confident decision-making through connected, trusted data
• Identifying and positioning the right Quantexa solution tailored to each prospect's specific needs
• Guiding prospects through a clear, outcome-driven solution strategy that sets the stage for long-term value and success

If you are a great communicator, able to captivate audiences of all sizes with an innate ability to simplify complex concepts for diverse audiences, and have domain expertise across multiple areas of government, we want to hear from you.

Requirements

• Experience in a commercially focused, technical role such as Solution Engineering, Presales, Technical Sales, or Value Consulting
• Great interpersonal, written, and verbal communication skills, with a track record of effective customer engagement
• Domain expertise across multiple areas of government (Tax or VAT evasion; customs and border risk assessments; public security; and benefits fraud, waste, and abuse)
• Proven experience in at least one solution area, with a good understanding of both technical and business aspects of the solution
• Confident in delivering engaging presentations and pitches that connect functionality to business value
• Experience building demos, templates, or sharing best practices that contribute to team enablement

Nice to have

• Strong expertise in data-driven, analytical solutions such as Entity Resolution, Graph Generation, Advanced Analytics, and MDM
• Domain knowledge in other areas such as Risk, Anti-Financial Crime, AML, KYC, CRM
• Technical expertise in data storage, processing and containerisation technology such as Cloud or On-prem Distributed File Systems, Spark, Databricks, Kubernetes, Open Search, Elastic Search

Benefits

We offer a competitive base salary of $155-175k, company bonus, 100% 401K match up to 5%, comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being, tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care, competitive annual leave, parental leave, PTO, and observed holidays, well-being benefits, such as the Calm App and Wellbeing 1/2 days off, continuous Training and Development, including access to Udemy Business, Work from Anywhere Scheme, Employee Referral Program, Team Social Budget & Company-wide Socials.

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The Data & Research Management group is responsible for delivering accurate, timely and complete data to enhance the value of Preqin's award-winning service. The trust in our underlying content enables our clients to make key investment decisions.

Besides simply collecting content, Data & Research Management collaborates extensively with internal and external stakeholders to improve our data offering leveraging technology and subject matter expertise. The team understands the end-to-end lifecycle of data and establishes business intelligence reports seeking operational excellence

Role Overview

The Director – Director, Private Markets Data Acquisition & Partnerships, EMEA role is an outstanding leadership opportunity based in our vibrant London office. This position is integral to Preqin, a part of BlackRock's data leadership team and is charged with steering the strategic direction of our data initiatives. By working closely with the Data, Product, and Technology teams, you will ensure our data exceeds client expectations in both scope and quality.

You will apply your market knowledge, relationship building skills, and data expertise to drive our private market data expansion initiatives in the EMEA region. This involves market exploration, collaboration, and innovative process execution. Your deep understanding of the private markets ecosystem and market trends will significantly contribute to our organisational strategy, ensuring the continued growth and improvement of Preqin, a part of BlackRock's data offerings.

Responsibilities

• Drive the strategic direction of Preqin, a part of BlackRock's data coverage, ensuring it is world-class and meets or exceeds client expectations.

• Act as a Subject Matter Expert (SME), working with internal collaborators to improve and develop current and future data offerings.

• Apply extensive network in the Private markets space to deepen relationships and inform our data expansion strategy.

• Lead a team of VPs and Senior Associates, operating in a player-coach capacity—setting strategy while remaining hands-on in executing initiatives to expand our private markets data coverage.

• Lead strategic data initiatives, including market mapping and white space analysis, to determine future coverage areas.

• Explore strategic data opportunities through partnerships and projects.

• Partner with Data Management and Data Platform teams to lead data sourcing, acquisition, extraction, and ingestion strategies.

• Assist external collaborators with dataset expertise and domain knowledge, including troubleshooting and representing our data to customers.

• Provide mentorship and training to internal data collection teams to improve the value and impact of data.

• Act as a brand ambassador, upholding and promoting Preqin, a part of BlackRock’s values and policies.

Key Requirements

• Minimum of 10 years of relevant experience in data/financial data services/alternative assets.

• Proven ability to acquire domain knowledge relevant to data and financial markets.

• Strong understanding of data lifecycle management from acquisition to publishing.

• Demonstrated success in performance management and building high-performing teams.

• Extensive people and project management experience, including remote team management.

• Hands-on, motivational, and entrepreneurial leader with professional competence.

• Strategic thinker capable of developing and improving data offerings.

• Experience in introducing change management through technology and processes.

• Strong time management and prioritisation skills.

• Excellent communication skills and experience working with senior executives.

• Bachelor’s Degree or equivalent experience required.

• Proficiency in business intelligence systems such as Power BI or Metabase.

Desired Experience

• Experience leading high-performing teams.

• Prior experience in the alternative assets industry or financial services data management.

• Skills in organisational design and central initiatives with senior management.

• Experience working with engineering teams to improve workflows.

• Experience working across cultures and locations

• Change management experience supporting global transitions.

• Project Management Certification or technical knowledge (SQL/Python) is a plus.

• Familiarity with workflow tools such as Alteryx, Salesforce, Outreach, Jira, Office 365.

Our benefits

To help you stay energised, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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We are seeking a visionary and seasoned sales leader to join our team as Country Manager for S&A (former Ansys) in Seoul. As a key member of our APAC S&A Sales organization, you will be responsible for leading the S&A business for Korea, driving strategic collaboration with cross-functional teams, and building and nurturing relationships with key clients to maximize business opportunities.

Key Responsibilities

• Lead the S&A business for Korea and drive strategic collaboration with cross-functional teams including Engineering, Marketing, and other aligned groups.
• Build and nurture relationships with key clients to maximize business opportunities and develop and execute sales strategies to achieve and exceed annual quotas.
• Identify market trends, competitor activities, and client needs to inform business decisions and maintain industry leadership.
• Foster a culture of agility, collaboration, and embracement within the team to drive growth and innovation.
• Mentor and develop talent, ensuring the team is equipped to meet future challenges and deliver exceptional results.

Impact

• Accelerate Synopsys' growth in the Korean market, contributing to the APAC S&A Sales organization's success.
• Strengthen relationships with major clients and partners, reinforcing Synopsys' position as a trusted industry leader.
• Drive innovation and market leadership through strategic collaboration and industry insight.
• Enhance team performance and morale, building a culture that attracts and retains top talent.
• Shape the future of technology and digital transformation in Korea and the broader APAC region.
• Ensure Synopsys' solutions are at the forefront of industry advancements, supporting the development of high-performance silicon chips and software content.

Requirements

• Bachelor's degree or higher, preferably in a relevant technical or business field.
• 15+ years of experience in software sales, with a track record of senior management responsibilities.
• Expertise in leading sales teams and managing large-scale accounts in the technology sector.
• Strong leadership and strategic collaboration skills, with the ability to align cross-functional teams and drive business results.
• In-depth industry domain knowledge and awareness of major competitors.
• Experience working with major global technology vendors and clients.

Who We Are Looking For

• Inspirational leader with a collaborative and inclusive approach.
• Strategic thinker, able to navigate complex business landscapes and anticipate market shifts.
• Excellent communicator, adept at building relationships and influencing stakeholders.
• Agile and adaptable, thriving in fast-paced environments and embracing change.
• Passionate about developing others and fostering a culture of continuous improvement.

The Team You'll Be A Part Of

You will be part of the S&A (former Ansys) team, a dynamic and innovative group of professionals who are shaping the future of technology and digital transformation in Korea and the broader APAC region.

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Financial services is one of the most consequential domains for AI—and one of the most demanding. Workflows are complex, data is sensitive, regulatory expectations are real, and the people using these tools are experts who will immediately know if something doesn't work. That's exactly the kind of challenge we're here for.

Anthropic's Verticals team builds AI-powered products purpose-built for the industries where this complexity is highest. We're in early growth, moving fast, and earning the trust of enterprise customers who have seen a lot of vendors promise transformation and deliver demos. This role is about building something that actually changes how financial services teams work—and building the team that can do that sustainably.

Responsibilities

• Lead and develop a team of engineers building AI-powered experiences in Excel and PowerPoint for financial services enterprise customers

• Own engineering execution end-to-end: project planning, prioritization, delivery quality, team health, and incident response

• Partner closely with sales and customer success teams on enterprise deals—understanding customer requirements, participating in key conversations, and translating what you learn into engineering priorities

• Work with product and design to shape the roadmap, not just execute against it; you'll have a meaningful voice in what we build and why

• Maintain operational reliability on top of third-party platforms (the Microsoft 365 ecosystem), and build the processes that make your team resilient when those dependencies behave unexpectedly

• Engage with research and evaluation frameworks—developing intuition for model behavior, understanding evals, and helping the team make sound tradeoffs between capability and reliability

• Drive compliance and regulatory initiatives relevant to your customers, including owning the internal engineering work required to meet them

• Recruit, onboard, and develop strong engineers; give direct feedback, grow careers, and build a team culture that earns the confidence of enterprise customers

You may be a good fit if you

• Are a skilled engineering manager who takes the craft of management seriously: clear feedback, strong 1:1s, hard conversations handled well, and consistent investment in your team's growth

• Have experience building products for or within financial services—you understand how these organizations work, what they care about, and why trust and reliability aren't negotiable

• Know how to operate in an enterprise sales environment; you're comfortable alongside sales and customer success teams and can hold your own in customer conversations

• Have shipped AI-powered products and developed a grounded, practical understanding of what it takes to make them reliable and useful in high-stakes contexts

• Are experienced with the operational realities of building on third-party platforms—you've thought through degradation strategies, incident response, and the accountability gaps that come with dependencies you don't control

• Thrive in early-growth environments where the product is real but the playbook is still being written

Strong candidates may also have

• Deep domain knowledge in financial services—investment banking, asset management, insurance, corporate finance, or similar—whether from working within these institutions or building products for them

• Direct experience with compliance frameworks relevant to financial services and healthcare, and a track record of owning or driving compliance initiatives within an engineering organization; familiarity with HIPAA is a meaningful differentiator

• Experience managing teams that use AI-assisted coding tools, and a considered perspective on what that means for code review, quality standards, and engineering norms

• Exposure to both product-led growth and direct enterprise sales motions, with an understanding of how engineering decisions interact differently with each

• Vendor management experience—negotiating with, evaluating, or operationalizing third-party technology providers

• Familiarity with model evaluation frameworks and how evals can inform product decisions, not just research ones

Representative projects

• Partnering with an investment banking customer to understand their deal documentation workflow, then working with product to translate that into a concrete engineering roadmap

• Building an incident response and communication playbook for outages or degradation in Microsoft 365 integrations—and running the post-mortems that drive real improvements

• Owning a compliance initiative from scoping through delivery: working with legal and security, defining what engineering needs to build, and getting your team across the line

• Collaborating with a cross-functional team to develop a new AI-powered product feature, and working with stakeholders to ensure its successful launch

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What you'll do

• Quality Strategy and Test Planning
• Quality and Data Analysis
• Collaboration and Communication
• Mentorship and Team Support

What you need

• 5+ years of experience in software development, quality assurance, or game design
• Understanding of quality assurance processes, workflows, and defect and task tracking software
• Familiarity with bug prevention and containment strategies
• Game Domain knowledge, with inclination towards playing video games for driving end-to-end quality plan throughout the game/pack cycle

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What you'll do

• Work close with customers to understand new requests or customization feature from customer’s PRD/MRD
• Provide integration training to customers and conduct reviews on their major SoC milestones
• Provide feedback to Synopsys R&D for customization feature or continuous IIP product improvements
• Participate in IIP design reviews to align development with future customer needs
• Creativity and Innovation is highly inspired: such as developing small tools to simplify daily jobs or improving efficiency; authoring application notes for gate-level simulation, silicon debug and physical implementation.

What you need

• Bachelor’s and/or master’s degree in electrical and/or Electronic Engineering, Computer Engineering or Computer Science
• Minimum 5 years of Analog or Mixed signal IP or ASIC Design/Verification/Applications experience is required
• Hands-on experience on circuit design, RTL coding, simulation, synthesis, static timing check, equivalence check, etc.
• Domain knowledge PCI Express, CXL, Ethernet protocols
• Creative results are oriented with the ability to manage multiple tasks concurrently.
• Good verbal and written communication skills in English and ability to interact with customer
• High degree of self-motivation and personal responsibility
• Good inference, reasoning and problem-solving skills, and attention to details

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