This role exists to bridge the gap between "getting data" and "engineering data," moving us from manual syncs to a fully automated ecosystem. By building custom pipelines and implementing a robust orchestration layer, you will directly enable our Operations teams and leadership to transition from basic reporting to sophisticated, AI-ready data products.

Your primary focus will be on Infrastructure-as-Code, orchestration, and building a resilient "plumbing" system that serves as the backbone for our entire Product and GTM strategy.

Your 12-Month Journey During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt) and understand the current pain points in our data flow. You will identify and execute "low-hanging fruit" improvements to our product usage analytics, providing immediate value to the Product and GTM teams. You’ll begin designing the blueprint for our custom data pipelines and the migration strategy for moving our infrastructure into Terraform.

Within 6 months: You will have deployed our new orchestration layer (e.g., Airflow or Dagster) and successfully transitioned our first set of custom pipelines to production. Collaborating with the Analytics Engineer, you will enable a unified view of our customer journey by successfully merging product usage data with CRM and billing data. At this point, a significant portion of our data infrastructure will be defined as code, reducing manual overhead and increasing deployment reliability.

After 1 year: you will take full strategic ownership of the data platform and its long-term architecture. You will act as the go-to technical expert for the leadership team, advising on the scalability of new data-driven features. You will lay the groundwork for AI and Machine Learning initiatives by ensuring our data warehouse has the right quality controls, governance, and low-latency access patterns in place.

What You’ll Be Doing Architect Scalable Infrastructure-as-Code: Take our existing foundations to the next level by migrating all GCP and BigQuery resources into Terraform. You will establish automated CI/CD patterns to ensure our entire data environment is reproducible, version-controlled, and enterprise-ready.

Deploy State-of-the-Art Pipelines: Design, deploy, and operate high-quality production ELT pipelines. You will implement a modern orchestration layer (e.g., Airflow or Dagster) to build custom Python-based integrations while maintaining and optimizing our existing syncs.

Champion Data Quality & Performance: Act as the guardian of our data platform. You will implement rigorous testing and monitoring protocols to ensure data is accurate and timely. You will proactively identify BigQuery bottlenecks, optimizing query performance and resource utilization.

Technical Roadmap & Ownership: scope and architect end-to-end data flows from production source to warehouse. Manage your own technical backlog, prioritizing infrastructure stability over technical debt. You will ensure platform security and SOC2 compliance through PII masking, data contracts, and robust access controls.

Collaboration: You will work in a tight loop with the Analytics Engineer to turn raw data into actionable products. You will partner daily with DataOps and RevOps to understand business requirements, with occasional strategic syncs with DevOps and R&D to align on production schema changes and global infrastructure standards.

What You Bring Solid experience in Data Engineering, with a track record of building and evolving data ingestion infrastructure in cloud environments. The Modern Data Stack: Familiarity with dbt and Airbyte/Fivetran. You understand how these tools fit into a broader ecosystem. Expertise in BigQuery (partitioning, clustering, IAM) and the broader GCP ecosystem; Infrastructure-as-Code (Terraform). Hands-on experience with Airflow, Dagster, or similar orchestration tools. You know how to design DAGs that are resilient and easy to debug. DevOps practices in the data context: familiarity with CI/CD best practices as they apply to data (data testing, automated deployments). Programming: Expert-level Python and advanced SQL. You are comfortable writing clean, testable, and modular code. Comfortable in a fast-paced environment Project management skills: capable of managing stakeholders, explaining complicated technical trade-offs to non-technical users, and taking care of own project scoping and backlog management. Fluency in English, both written and spoken, at a minimum C1 level

What We Offer Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam A chance to be part of and shape one of the most ambitious scale-ups in Europe Work in a diverse and multicultural team €1,500 annual training budget plus internal training Pension plan, travel reimbursement, and wellness perks 28 paid holiday days + 2 additional days to relax in 2026 Work from anywhere for 4 weeks/year An inclusive and international work environment with a whole lot of fun thrown in! Apple MacBook and tools €200 Home Office budget

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You'll work cross-functionally with Finance, Accounting, Legal, Product, and Engineering teams to embed tax considerations into our business operations from the ground up.

In this role, you'll:

Develop and execute Anthropic's global indirect tax strategy for US sales tax and international VAT/GST across multiple jurisdictions Assist with the end-to-end indirect tax compliance, including registration, filing, remittance, and audit defense Partner with Product, Engineering, and GTM teams to assess the tax implications of new product launches, pricing models, and go-to-market strategies Assist the business with identifying indirect tax requirements for all aspects of infrastructure projects and marketplace initiatives including implementation Provide input into the evaluation, implementation, and administration of indirect tax technology solutions, including tax engines and compliance software Design and implement scalable tax processes and internal controls to support rapid business growth Lead nexus studies and taxability analyses to determine filing obligations across jurisdictions Collaborate with external tax advisors and manage relationships with tax authorities Monitor regulatory changes and assess their impact on Anthropic's business operations Provide tax guidance on complex transactions and business arrangements Prepare and review indirect tax provisions for financial reporting Support internal and external audit requests related to indirect taxes

You may be a good fit if you:

Have 8+ years of indirect tax experience, with deep expertise in US sales tax and international VAT/GST Have experience in technology or SaaS companies, ideally with consumption-based or API business models Possess strong technical knowledge of indirect tax rules, exemptions, and sourcing principles across multiple jurisdictions Have hands-on experience implementing and managing tax technology solutions (e.g., Avalara, Vertex, Sovos, Taxjar) Are proficient in analyzing complex business models and translating them into tax positions Have excellent project management skills and can drive initiatives from concept to completion Can clearly communicate complex tax concepts to non-tax stakeholders across all levels of the organization Thrive in fast-paced, rapidly evolving environments and are comfortable with ambiguity Have experience building processes and systems from the ground up in high-growth environments Are detail-oriented with strong analytical and problem-solving abilities

Strong candidates may also have:

BA, CPA, or other relevant professional certification Experience with Oracle, Stripe, or similar billing and accounting platforms Background in Big 4, national accounting firm or Industry indirect tax practices Experience with AI/ML products or emerging technology taxation issues Familiarity with tax automation and data analytics tools Experience managing external advisors and audit processes

The annual compensation range for this role is $230,000-$300,000 USD.

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Key responsibilities include:

• Ensuring every outgoing invoice has a valid IRN/QR code before sending it to the customer.
• Applying payments to customer accounts in the ERP system with proper remittances.
• Monitoring aging, and proactively following up on overdue accounts.
• Collaborating with the sales/operations team to resolve billing issues and disputes; assisting with credit memos and refunds as needed.
• Reviewing/recon TDS for vendor bills to ensure accuracy and in compliance with company policies.
• Assisting with employee reimbursements review, ensuring proper approvals and supporting documentation.
• Participating in process improvement initiatives to enhance efficiency and controls.
• Assisting with month-end close related to payables and receivables, including aging analysis and write-offs if necessary, support audit requests and internal controls documentation.

Requirements include:

• Thorough understanding of the freight forwarding GST invoicing process, RCM, and TDS deduction in India.
• 3+ years of experience in Finance Accounts Receivable/ Payable.
• Degree in Finance/Accounting or related functions.
• Strong analytical and communication skills.
• Proficient and fluent in English.
• Ability to work in a matrixed environment with multiple stakeholders.
• Ability to interpret data and present to the key stakeholders.
• Self-motivated and ability to manage multiple tasks.
• Preferably efficient in Netsuite, G Suite, Microsoft Excel.
• Experience in the Freight Forwarding industry is preferred.

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We are seeking a Senior Tax Manager to lead all direct and indirect tax matters for the APAC region. The successful candidate will partner closely with Finance, Legal, and Business teams to ensure compliance, manage risk, and support growth.

Responsibilities

• Lead all direct and indirect tax matters for the APAC region
• Own end-to-end management of Corporate Income Tax, VAT/GST, WHT, and other local taxes across APAC jurisdictions
• Review and sign off on tax returns, estimates, and payments prepared by internal teams and external advisors
• Support the preparation and review of tax provisions and deferred taxes for APAC entities in collaboration with the global tax accounting team
• Serve as the primary advisor for APAC on the tax implications of new business models, commercial contracts, and market launches in the region
• Partner with the global tax team to monitor transfer pricing policies for accuracy and completeness and offer key APAC insights
• Implement, execute, and defend holistic transfer pricing strategies
• Oversee the preparation of transfer pricing documentation as it relates to the APAC region
• Lead the management of tax audits, inquiries, and controversy across APAC, including strategy, documentation, and negotiations
• Monitor legislative and regulatory changes across APAC and proactively assess the impact on the business
• Support global tax initiatives (e.g., BEPS, Public Country-by-Country Reporting, digital services taxes) and drive regional implementation
• Drive standardization and automation of tax processes across the region, partnering with Finance Systems and IT teams
• Represent APAC Tax in cross-functional projects

Requirements

• Bachelor's degree in Accounting, Finance, Law, or related field; Accredited Tax Advisor (ATA) qualified or equivalent
• 8+ years of relevant experience at a public accounting firm and/or tax department of a multinational public company with responsibility for regional tax matters in APAC, including emerging markets
• Strong technical knowledge of corporate income tax, indirect tax (GST/VAT), and withholding tax rules in APAC markets
• Experience with tax accounting and reporting under US GAAP and/or IFRS
• Exposure to transfer pricing design and documentation for cross-border intercompany transactions
• Proven track record managing tax audits and interactions with tax authorities
• Familiarity with global tax reform and its impact on APAC
• Experience working in a multinational environment and collaborating across time zones and cultures
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex tax issues to non-tax stakeholders

Relocation Statement

This position is not eligible for relocation assistance.

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As a Data Engineer at Figma, you will be responsible for building and maintaining scalable data pipelines that connect various cloud data sources. You will develop a deep understanding of Figma's core data models and optimize data pipelines for scale. You will partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.

You will work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences. You will establish best practices for the development of specialized data sets for analytics and modeling.

We'd love to hear from you if you have:

• 4+ years in a relevant field.
• Fluency with both SQL and Python.
• Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
• Excellent judgment and creative problem-solving skills.
• A self-starting mindset along with strong communication and collaboration skills.

While not required, it's an added plus if you also have:

• Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
• Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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This role requires a builder who can stabilize a post-migration ERP environment, architect controls from scratch, and drive improvements to key metrics,all while championing Claude-powered automation consistent with Anthropic’s AI-first culture.

Responsibilities:

• Design, document, test, and execute AP internal controls for SOX compliance
• Drive remediation of any control gaps identified during design and operating effectiveness testing
• Own AP walkthrough preparation with external auditors and serve as the primary AP point of contact for audit requests
• Own AP systems and design requirements for future systems landscape

AP Operations & Process Optimization:

• Partner with Procurement to optimize the procure-to-pay process
• Oversee end-to-end invoice-to-pay operations across all entities
• Oversee vendor master data integrity, OFAC compliance, and banking change controls
• Manage international AP complexity: VAT/GST coding, SEPA payments, withholding tax, and entity-specific compliance requirements across all entities
• Own month-end close AP deliverables and oversee weekly payment runs across multiple payment methods and banking platforms
• Drive AP cycle time and payment timeliness improvements through root cause analysis and process redesign

Team Leadership & AI Automation (Claudification):

• Lead and develop a lean team, building depth and cross-training to eliminate single points of failure
• Foster a high-trust, collaborative team culture rooted in our team values of collaboration, impact, and curiosity , where team members take ownership of their areas, speak up with feedback, and ask 'could Claude have done that?' after every manual process

You may be a good fit if you have:

• 12+ years of accounts payable experience at a high-growth technology company, including 5+ years in a leadership role owning end-to-end AP operations
• Demonstrated experience leading AP through a major ERP migration (NetSuite to Workday, SAP, Oracle, or equivalent),including data migration, UAT, cutover, and stabilization
• Track record of designing and documenting SOX-compliant AP internal controls in a pre-IPO or public company environment, with direct exposure to external auditor walkthroughs
• Proven ability to reduce late payments and improve AP cycle times through process redesign, automation, and root cause analysis,with specific, quantified outcomes
• Multi-entity, multi-currency AP experience across US and international jurisdictions, including VAT/GST compliance and cross-border payment operations
• Strong cross-functional instincts: proven ability to partner across Procurement, Treasury, Corporate Accounting, Tax, Legal, and Finance Systems teams
• AI-curious builder mindset: experience deploying AI tools to automate AP processes, or genuine enthusiasm for doing so,and comfort creating structure where none exists

The annual compensation range for this role is $230,000-$300,000 USD.

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This is a founding management role where you'll help shape how the team works, partner closely with the Staff Backend Engineer, Product Manager, and SSCS stage management, and turn a defined roadmap into steady, high-quality delivery for enterprise customers with strict security and compliance needs.

You'll focus on developing the team, creating a healthy operating rhythm, and establishing predictable execution for the SSCS SKU.

You'll join a product area where customers in regulated industries are already validating the need, and your work will help GitLab deliver software supply chain security features that customers can rely on.

While technical credibility matters, your main focus will be growing a strong backend engineering team, enabling team members in their development, and creating the conditions for long-term delivery and quality.

Responsibilities:

• Guide a backend engineering team building the SSCS Add-On across dependency enforcement, build provenance, malicious package detection, and artifact signing.

• Be responsible for driving engineering delivery for general availability milestones by aligning sequencing, scope, and dependencies with the Staff Backend Engineer and Product Manager.

• Develop the team by partnering with Talent Acquisition on sourcing, interview design, candidate evaluation, and hiring decisions.

• Run regular 1:1s, performance reviews, and career development conversations that enable growth and clear expectations.

• Advance engineering quality by monitoring cycle time, defect rates, and test coverage, and by addressing risks early.

• Coordinate quarterly planning and roadmap tradeoff discussions with SSCS stage leadership and Product.

• Work with Finance and other partners on headcount pacing and team planning as the Add-On scales.

• Represent the SSCS Add-On team within stage leadership discussions and help ensure strong communication across functions.

Requirements:

• Over 3 years of experience guiding backend product engineering teams in security, DevOps, or platform engineering environments.

• Ability to hire and grow backend or security engineers in distributed team environments, with practical understanding of the talent landscape for these roles.

• Technical credibility to contribute to architecture discussions involving package registries, CI/CD pipeline security, and signing infrastructure.

• Experience managing predictable delivery across multi-quarter product roadmaps and managing cross-team dependencies.

• Comfort working in an asynchronous, documentation-driven organization with clear written communication.

• Familiarity with supply chain security, artifact management, or compliance-focused product areas, or transferable experience from related domains.

• Working knowledge of concepts related to frameworks and ecosystems such as SLSA and Sigstore.

• Ability to build credibility with engineers, product partners, and customer-facing stakeholders through clear judgment, coaching, and teamwork.

About the team: The SSCS Add-On team is a product engineering team within GitLab's Software Supply Chain Security stage. We work on key capabilities in the SSCS Add-On SKU and collaborate closely with product and engineering partners to deliver security features for customers operating in regulated environments.

You'll report to the SSCS Senior Engineering Manager and partner directly with the Staff Backend Engineer and Product Manager.

As a distributed team working asynchronously across regions, we are focused on strong delivery practices, team health, and scaling the product area with clarity and accountability.

For more on how related teams work, see Team Handbook Page.

How GitLab Supports Full-Time Employees:

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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Your work will shape GitLab's enterprise security posture in the rapidly growing software supply chain security market. You'll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab's global zero trust architecture.

Some examples of our projects:

• SLSA Level 3 compliance and provenance attestation across GitLab's CI/CD platform
• Integrated secrets management and runner security for container-isolated, secure pipelines

You'll lead the end-to-end software supply chain security architecture for GitLab's CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening. You'll drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.

You'll collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale. You'll propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.

You'll teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.

You'll partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.

You'll engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab's software supply chain security capabilities and roadmap.

You'll collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.

Key responsibilities include:

• Providing architectural leadership across multiple engineering teams
• Shaping GitLab's enterprise security posture in the rapidly growing software supply chain security market
• Focusing on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab's global zero trust architecture

Key requirements include:

• Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management
• Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations
• Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments

Preferred qualifications include:

• Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths
• Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening
• Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices
• Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders
• Demonstrated capacity to clearly communicate complex problems and solutions

Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations.

The base salary range for this role's listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits.

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You will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.

You will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.

You will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.

You will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.

You will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.

You will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.

You will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.

You will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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Your technical expertise, eye for business, and ability to deliver value will accelerate and improve the customer experience leading to customer continued satisfaction and expansion within the elastic portfolio. In your role, a crucial part of your responsibility is defining and communicating the technical success criteria for our customers. This involves crafting detailed Technical Success Plans tailored to the specific customers goals and critical metrics.

Collaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals. Define the technical success plan for each customer, outlining the optimal use of Elastic solutions to achieve their business objectives. Ensure a successful technical customer journey, from onboarding to adoption, while continuously driving the consumption of Elastic solutions.

Understand and articulate the value proposition of Elastic solutions and align them with the customer's business goals. Work closely with customers to identify and eliminate technical frictions, promoting a smoother adoption and implementation of Elastic solutions. Liaise between customers and support, as necessary, to ensure an optimized support resolution experience smoothing the adoption curve for the customer.

As a hands-on technical authority, collaborate with the Service Team to deliver personalized, frictionless solutions that meet the unique needs of each customer. Develop a comprehensive understanding of the customer's business needs and translate these into technical requirements for Elastic solutions. Find opportunities for expansion, at which point the account team takes over to expand the subscription, aiming to grow annual recurring revenue (ARR).

Foster ongoing customer relationships, ensuring that customers continue to increase their utilization of Elastic solutions, further driving ARR. Continuously review and assess customer consumption of Elastic solutions, proactively suggesting upgrades and enhancements that increase value and drive further consumption.

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You'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
• Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
• Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.
• Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration

Required skills include:

• 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
• Expertise in the Telecommunications domain, especially with Mobile networks and devices.
• Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
• Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
• Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
• Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
• Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
• Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
• Hands-on expertise in distributed systems and large-scale infrastructure.
• Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
• Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
• Strong communication and presentation skills, with experience engaging directly with customers.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
• Comfortable working in highly distributed teams, both remote and on-site when needed.
• May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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You'll work cross-functionally with Finance, Accounting, Legal, Product, and Engineering teams to embed tax considerations into our business operations from the ground up.

Responsibilities:

• Develop and execute Anthropic's global indirect tax strategy for US sales tax and international VAT/GST across multiple jurisdictions
• Assist with the end-to-end indirect tax compliance, including registration, filing, remittance, and audit defense
• Partner with Product, Engineering, and GTM teams to assess the tax implications of new product launches, pricing models, and go-to-market strategies
• Assist the business with identifying indirect tax requirements for all aspects of infrastructure projects and marketplace initiatives including implementation
• Provide input into the evaluation, implementation, and administration of indirect tax technology solutions, including tax engines and compliance software
• Design and implement scalable tax processes and internal controls to support rapid business growth
• Lead nexus studies and taxability analyses to determine filing obligations across jurisdictions
• Collaborate with external tax advisors and manage relationships with tax authorities
• Monitor regulatory changes and assess their impact on Anthropic's business operations
• Provide tax guidance on complex transactions and business arrangements
• Prepare and review indirect tax provisions for financial reporting
• Support internal and external audit requests related to indirect taxes

You may be a good fit if you:

• Have 8+ years of indirect tax experience, with deep expertise in US sales tax and international VAT/GST
• Have experience in technology or SaaS companies, ideally with consumption-based or API business models
• Possess strong technical knowledge of indirect tax rules, exemptions, and sourcing principles across multiple jurisdictions
• Have hands-on experience implementing and managing tax technology solutions (e.g., Avalara, Vertex, Sovos, Taxjar)
• Are proficient in analyzing complex business models and translating them into tax positions
• Have excellent project management skills and can drive initiatives from concept to completion
• Can clearly communicate complex tax concepts to non-tax stakeholders across all levels of the organization
• Thrive in fast-paced, rapidly evolving environments and are comfortable with ambiguity
• Have experience building processes and systems from the ground up in high-growth environments
• Are detail-oriented with strong analytical and problem-solving abilities

Strong candidates may also have:

• BA, CPA, or other relevant professional certification
• Experience with Oracle, Stripe, or similar billing and accounting platforms
• Background in Big 4, national accounting firm or Industry indirect tax practices
• Experience with AI/ML products or emerging technology taxation issues
• Familiarity with tax automation and data analytics tools
• Experience managing external advisors and audit processes

The annual compensation range for this role is $230,000-$300,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Our founders launched Trunk in 2021 after designing, delivering, and scaling software at Uber, Google, YouTube, and Microsoft. We raised a $25M Series A led by Initialized Capital (Garry Tan) and a16z (Peter Levine), with investments from Haystack Ventures, Garage VC, and the founders of GitHub (Tom Preston-Werner), Apollo GraphQL (Geoff Schmidt), Algolia (Nicolas Dessaigne), and Peopl.ai (Oleg Rogynsky).

CI pipelines are black boxes. Engineers waste hours debugging failures that turn out to be flaky tests or infrastructure noise. Trunk makes this visible: what failed, why, and whether it's worth fixing.

The next wave is agentic. AI tools today hit a wall when code leaves the local environment. We're building the data layer that lets AI agents actually reason about CI: diagnosing failures, suggesting fixes, and eventually shipping code autonomously.

We're looking for a Tech Lead to own the data platform that powers Trunk's flaky test detection and CI analytics products. You'll design and build the systems that ingest millions of test runs per hour, surface actionable insights, and lay the foundation for AI-driven CI workflows.

We're at an inflection point. The scale challenges are real and growing. The AI/agentic future of development tooling is taking shape, and we're building the data infrastructure that makes it possible. If you want to work on hard systems problems with direct customer impact, this is the role.

As a Tech Lead, you will:

• Design and build the data pipelines, storage systems, and backend services that power Trunk's flaky test and CI products
• Lead a team of engineers through complex distributed systems and data infrastructure challenges
• Work directly with customers to understand their pain points and translate them into robust technical solutions
• Drive architectural decisions for scale, reliability, and future AI/agentic integrations (MCP, semantic failure clustering, automated remediation)
• Ship independently with high autonomy. We're a small team solving hard problems, and you'll have significant ownership

We're looking for someone with:

• 7+ years of backend/infrastructure engineering experience, with a focus on data processing pipelines and distributed systems
• Experience leading teams of 2+ engineers on complex technical projects
• Track record of building and operating systems at scale
• Strong proficiency in Rust and Python; familiarity with TypeScript
• Experience with our stack: PostgreSQL, ClickHouse, AWS, Kubernetes, Dagster
• Comfort with monitoring, observability, and debugging in distributed environments
• Previous experience at a high-growth startup

You're a good fit if:

• You're passionate about building high-quality, scalable systems and take pride in clean, maintainable code
• You have deep experience with distributed systems, databases, and performance optimization
• You're comfortable navigating large codebases and can ramp quickly on complex systems
• You enjoy mentoring engineers and thrive in collaborative environments
• Experience and intuition to zero in on root causes for bugs that can leave others stumped
• You're self-directed, making sound technical decisions without waiting for detailed specs

Our tech stack includes:

• Frontend: Typescript, React, Next.js, AWS
• Backend: Typescript, Node, AWS
• Data pipelines: Dagster, python, polars
• CI/CD: GitHub Actions

We offer:

• Unlimited PTO
• Competitive salary and equity
• Work-life balance
• Lunch ordered in on us at the office on Wednesdays and Thursdays
• Few meetings, so you can ship fast and focus on building
• One Medical membership on us!
• Top-notch medical, dental, vision, short-term disability, long-term disability, and life insurance
• All insurance is 100% company-paid ($0 premiums) for employees and highly subsidized for dependents
• FSA, HSA with company contributions, and pre-tax commuter benefits
• 401(k) plan
• Paid parental leave (up to 12 weeks)

The salary and equity range for this role are: $200-$245K and .3-.5%.

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The bottleneck has shifted downstream - to merge conflicts, flaky tests, inconsistent code quality, and dozens of other frictions that drain productivity and morale. Engineering teams that can stay focused on designing, implementing, and delivering software will build magical, high-quality projects - and they'll be happier doing it.

We're building a CI Reliability Platform that empowers teams to land code faster and develop happier.

We are looking for a motivated and experienced Senior Software Engineer to join our Platform/Data Engineering team. In this role, you will be responsible for developing and optimizing data ingestion pipelines that can handle vast amounts of real-time and batch data from various sources.

Your focus will be on designing systems that are scalable, reliable, and performant, as well as ensuring the proper integration of data across our entire ecosystem.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines to handle large volumes of structured and unstructured data.
• Optimize and improve the efficiency of existing data processing workflows, ensuring they can scale as the data grows.
• Collaborate with cross-functional teams to gather data requirements and ensure seamless integration with various data sources.
• Implement real-time and batch processing systems for ingesting data from APIs and webhooks.
• Ensure data quality, consistency, and integrity across all data pipelines.
• Troubleshoot and resolve performance bottlenecks and data-related issues in the ingestion pipeline.
• Develop monitoring and alerting systems to proactively manage the health of data pipelines.
• Continuously evaluate and adopt new technologies and tools to improve the scalability and performance of our systems.
• Document the design, implementation, and operations of data pipelines for knowledge sharing within the team.

Requirements

• 4-5+ years of professional software engineering experience
• You're located within commute distance of San Francisco and are willing to work in office at least 8 days per month.
• You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure
• You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand
• Excellent debugging and troubleshooting skills and the tenacity to drive a solution to a conclusion
• Experience and intuition to zero in on root causes for bugs that can leave others stumped
• The ability to operate independently, but know when you are in too deep and need to ask for help
• Ability to collaborate with colleagues to plan and execute the best solution

Tech Stack

• Frontend: Typescript, React, Next.js, AWS
• Backend: Typescript, Node, AWS
• Data pipelines: Dagster, python, polars
• CI/CD: GitHub Actions

Benefits

• Unlimited PTO
• Competitive salary and equity
• Work-life balance
• Lunch ordered in on us at the office on Wednesdays and Thursdays
• Few meetings, so you can ship fast and focus on building
• One Medical membership on us!
• Top-notch medical, dental, vision, short-term disability, long-term disability, and life insurance
• All insurance is 100% company-paid ($0 premiums) for employees and highly subsidized for dependents
• FSA, HSA with company contributions, and pre-tax commuter benefits
• 401(k) plan
• Paid parental leave (up to 12 weeks)

The salary and equity range for this role are: $170K - $210K and .15% - .35%.

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Job Description:

Before 1965, it was extremely difficult and time-consuming to analyze complicated signals, like radio or images. You could solve it, but you had to throw a ton of compute at it. That all changed with the invention of the Fast Fourier transform, which could efficiently break that signal down into the frequencies that are a part of it.

The Risk Onboarding team is working on efficiently reviewing customers’ applications without compromising on quality. We are the front line of defense for preventing money laundering and financial crimes, building systems to verify that someone is who they say they are and that we are allowed to do business with them.

About Us:

At Mercury, we craft an exceptional banking experience for startups. Our team is focused on ensuring our products create a safe environment that meets the needs of our customers, administrators, and regulators.

Job Responsibilities:

As part of this role, you will:

• Partner with data science & engineering teams to design and deploy ML & Gen AI microservices, primarily focusing on automating reviews
• Work with a full-stack engineering team to embed these services into the overall review experience, including human in the loop, escalations, and feeding human decisions back into the service
• Implement testing, observability, alerting, and disaster recovery for all services
• Implement tracing, performance, and regression testing
• Feel a strong sense of product ownership and actively seek responsibility – we often self-organize on small/medium projects, and we want someone who’s excited to help shape and build Mercury’s future

Ideal Candidate:

The ideal candidate for the role has:

• 7+ years of experience in roles like machine learning engineering, data engineering, backend software engineering, and/or devops
• Expertise with:

• A full modern data stack: Snowflake, dbt, Fivetran, Airbyte, Dagster, Airflow
• SQL, dbt, Python
• OLAP / OLTP data modelling and architecture
• Key-value stores: Redis, dynamoDB, or equivalent
• Streaming / real-time data pipelines: Kinesis, Kafka, Redpanda
• API frameworks: FastAPI, Flask, etc.
• Production ML Service experience
• Working across full-stack development environment, with experience transferable to Haskell, React, and TypeScript

Total Rewards Package:

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Salary Range:

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $200,700 - $250,900
• Canadian employees (any location): CAD 189,700 - 237,100

Diversity & Belonging:

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

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You'll help shape the unified orchestration foundation, collaborate on governance-as-code patterns, and contribute to self-service frameworks that make quality and compliance automatic. We're moving from manual spreadsheets and theoretical architectures to automated control planes where every dataset is trusted, monitored, and traceable by default.

Technical Skills:

• Collaborate on designing and implementing unified orchestration patterns (Dagster/Airflow) to replace legacy and fragmented scheduling
• Develop governance-as-code systems in partnership with the team that automatically apply policy tags, RLS, and access controls through an active control plane

Complexity and Impact of Work:

• Help guide the technical design for platform capabilities like data contracts, automated quality gating, observability, and cost visibility
• Support the migration of workloads from legacy patterns to the modern platform, ensuring domain teams have clear paths and golden templates

Organizational Knowledge:

• Partner with domain teams (Asset Data, Reporting & Statements, Product teams) to understand their needs and design platform capabilities that enable their success
• Promote and support data mesh principles and dbt best practices, helping domain owners build and own their data products while platform ensures quality

Communication and Influence:

• Promote data platform engineering best practices, developer experience, and 'Data as a Product' principles across the engineering organization
• Contribute to architectural decisions and help establish engineering culture around reliability, cost efficiency, and operational excellence

You may be a fit for this role if you:

• 5-7+ years building data platforms or infrastructure: You bring experience helping design and operate modern data platforms that handle enterprise-scale workloads with quality, governance, and cost controls
• Strong dbt and SQL expertise: You're proficient with dbt and SQL, understand dbt Mesh, and have strong opinions on data modeling, testing, and documentation best practices
• Orchestration experience: You've implemented production data orchestration with Airflow, Dagster, Prefect, or similar tools, and understand the trade-offs between different orchestration patterns
• Cloud data warehouse proficiency: You have strong experience with BigQuery, Snowflake, or Redshift, including query optimization, cost management, and security configurations
• Platform mindset: You think in terms of golden paths, reusable abstractions, and developer experience - you build systems that let others move fast safely

Although not a requirement, bonus points if:

• Metadata and catalog experience: You've worked with Atlan, Collibra, DataHub, or similar metadata platforms and understand active governance patterns
• Data observability tools: You've implemented data quality monitoring with Great Expectations, Monte Carlo, Soda, or similar tools
• Infrastructure as code: You have experience with Terraform, Kubernetes, and modern DevOps practices for data infrastructure
• You're the kind of person who gets excited about declarative config, immutable infrastructure, and metrics dashboards showing cost-per-query trending down

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Technical Skills:

• Evolve our architecture from decentralized reporting scripts to a centralized, framework-based delivery system
• Build automated validation and reconciliation that lets us scale without adding manual oversight

Complexity and Impact of Work:

• Design data models that become a trusted, shared source of truth for downstream product teams and external APIs
• Navigate complexity across multiple product data streams, applying consistent logic to all financial statements

Organizational Knowledge:

• Work with Product and Foundations teams to standardize how we capture and represent financial data
• Create self-service frameworks so other teams can add new report types through configuration instead of code

Communication and Influence:

• Listen to product stakeholders to stay ahead of scaling needs for client-facing data
• Help mature our engineering culture by advocating for and modeling 'Data as a Product' principles and high-quality engineering standards

You may be a fit for this role if you:

• 7+ years building data systems: You have experience creating internal tools, frameworks, or engines that handle 10x scale
• Financial domain experience: You've worked in fintech, banking, or other environments where numbers matter. You understand what a 'Statement of Record' means and the precision it demands.
• Systems thinking: You consider the next 100 products, not just the current one. You value extensible systems over one-off pipelines.
• Solid technical foundation: You're proficient with Python (Pandas/Polars/Arrow) and SQL, with experience in BigQuery or similar cloud warehouses and modern orchestration tools like Airflow or Dagster.

Although not a requirement, bonus points if:

• You've been a data consumer: Prior experience as a financial or business analyst gives you the perspective to design truly usable data models.
• You care about performance: You enjoy making data move faster and cheaper, whether through ADBC, multiprocessing, vectorized operations, or other optimizations.

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We are seeking a Staff Engineer (Virtual Prototyping) to join our team in Moreira, Porto, Portugal. As a Staff Engineer, you will be responsible for developing and delivering high-performance simulation models for automotive, enterprise, telecommunications, and cloud platforms. You will also configure and bring up complex software stacks and drivers on simulated hardware platforms, collaborate with other development teams, IP owners, third-party suppliers, support engineers, and customers to identify, implement, and deliver solutions.

Key Responsibilities:

• Develop and deliver high-performance simulation models for automotive, enterprise, telecommunications, and cloud platforms.
• Configure and bring up complex software stacks and drivers on simulated hardware platforms.
• Collaborate with other development teams, IP owners, third-party suppliers, support engineers, and customers to identify, implement, and deliver solutions.
• Perform root-cause analysis and debugging across software and hardware boundaries.
• Integrate open-source multimedia and security utilities (e.g., FFmpeg, GStreamer, OpenSSL) into virtual prototypes.
• Enhance pre-silicon Virtual Platforms and models to enable early product development for global clients.

Impact:

• Empower customers to accelerate product development cycles by providing robust virtual prototypes before hardware availability.
• Drive innovation in simulation solutions for next-generation electronic platforms.
• Enhance the quality and reliability of Synopsys' Virtual Prototyping offerings for automotive, enterprise, and cloud markets.
• Facilitate seamless hardware-software integration and validation for global customers.
• Contribute to the advancement of open-source and proprietary technologies in embedded systems.
• Strengthen Synopsys' position as a leader in chip design, verification, and IP integration.

Requirements:

• BS or MS in Computer Science, Electronics, or similar field.
• Strong programming skills, primarily in C and C++.
• Embedded software experience, ideally including Linux OS build, configuration, and debugging.
• Knowledge of IP implementation or driver development (Linux, RTOS, or bare-metal), especially for Virtio, MIPI (CSI/DSI/I3C), Security, DMA, SSI, I2C, or Mobile Storage.
• Strong understanding of hardware-software interaction.
• Experience with open-source build systems such as Buildroot or Yocto.
• Familiarity with open-source multimedia/security utilities such as FFmpeg, GStreamer, and OpenSSL.
• Python programming experience.
• Experience with SystemC and/or transaction-level modelling (TLM).
• Embedded software development on Arm cores/Arm architecture.
• Strong debugging and root-cause analysis skills.

Who You Are:

• Innovative thinker with a passion for technology and continuous learning.
• Collaborative team player, able to work across diverse groups and cultures.
• Effective communicator, adept at translating complex technical concepts to stakeholders.
• Detail-oriented and committed to delivering high-quality solutions.
• Adaptable and resilient in fast-paced, evolving environments.
• Self-motivated, with strong analytical and problem-solving skills.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.

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Your mission is to solve complex security problems through software engineering, focusing on three core pillars:

• Identity & Network Security: Engineering high-performance IAM controls and zero-trust network architectures.
• Unified Vulnerability Orchestration: Architecting a custom 'single pane of glass' for security data.
• Compliance as Code: Building the automated systems that provide real-time evidence for frameworks like SOC 2, ISO 27001 & PCI.

You will be a key member of our growing Security Engineering team, working at the intersection of Infrastructure, Cross-Cutting, and GRC. We operate like a specialized product team: we identify security friction and build the software to eliminate it.

You will lead the design and maintenance of our internal security tool suite, written primarily in Go, to automate evidence collection and real-time remediation of security alerts. You will also write and peer-review Terraform and custom providers to manage identity and core infrastructure across AWS and GCP.

The team supports the use of Go, Terraform, Kubernetes, and Cilium. Experience with eBPF, Sigstore/Cosign, image provenance, and SBOMs is desirable.

Engine by Starling offers a range of benefits, including 33 days holiday, an extra day's holiday for your birthday, annual leave increased with length of service, and a company-enhanced pension scheme.

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About Engineering at Engine by Starling

At Engine by Starling, we don't do 'checkbox security',we build security software. We treat security as a first-class engineering discipline, where the solution to a threat isn't a policy, but a robust, concurrent system written in Go.

As a Cloud Security Software Engineer, you will be a hands-on builder responsible for the security architecture of our multi-tenant core banking platform. You'll spend your days architecting and writing Go-based tooling, automating defenses, and ensuring our infrastructure across AWS and GCP is secure by design and compliant by default.

The Mission

Your mission is to solve complex security problems through software engineering, focusing on three core pillars:

• Identity & Network Security: Engineering high-performance IAM controls and zero-trust network architectures. You will lead the way in refining edge-defense strategies and trust redirection, ensuring every request is verified and encrypted at scale.
• Unified Vulnerability Orchestration: Architecting a custom 'single pane of glass' for security data. You will build Go-based API integrations and microservices that bridge scanning engines, dependency trackers, and internal portals into a seamless, automated ecosystem.
• Compliance as Code: Building the automated systems that provide real-time evidence for frameworks like SOC 2, ISO 27001 & PCI. You’ll ensure we stay compliant through continuous, automated validation rather than manual overhead.

The Team

You will be a key member of our growing Security Engineering team, working at the intersection of Infrastructure, Cross-Cutting, and GRC. We operate like a specialized product team: we identify security friction and build the software to eliminate it. You won’t work in a silo; you’ll collaborate with engineers across the business to deliver a platform that is resilient by default.

About You

We are looking for Software Engineers who are passionate about the Go ecosystem and want to apply those skills to mission-critical security challenges. Whether you come from a Security Engineering background or you are a Backend Engineer with a 'security-first' mindset, we value your ability to write clean, maintainable, and efficient code.

What you’ll get to do

• Engineering Security Tooling: Lead the design and maintenance of our internal security tool suite, written primarily in Go, to automate evidence collection and real-time remediation of security alerts.
• Infrastructure as Code: Write and peer-review Terraform and custom providers to manage identity and core infrastructure across AWS and GCP.
• Supply Chain Security: Build automated systems to manage container provenance and integrate security analysis into our CI/CD pipelines (GitHub Actions/TeamCity).
• Cloud Native Defense: Engineer Kubernetes security solutions leveraging Cilium, eBPF, and custom controllers to protect our microservices.
• Cryptographic Engineering (PKI): Build and maintain our Go-based Certificate Authority (CA) tooling and internal PKI infrastructure.
• Incident Response: Support the team in automated incident response, building the tools that help us investigate and mitigate threats faster.

Requirements

What skills are essential:

• Go Specialist: You are proficient in Go. You understand its concurrency models, testing patterns, and how to build idiomatic, performant services.
• The Builder Mindset: You find manual work a personal affront. If a task needs to be done twice, you’ve already started planning the automation for it.
• Cloud Native: Practical experience with AWS or GCP, ideally managed through Terraform.
• Container Expertise: You understand Kubernetes internals,from the runtime security to the service mesh.
• Identity & Networking: Strong understanding of cloud identity models and network protocols.

What skills are desirable:

• Experience with Cilium or eBPF-based security monitoring.
• Knowledge of Sigstore/Cosign, image provenance, and SBOMs.
• Familiarity with hardware security modules (HSMs) or advanced cryptography.
• Cloud-native security certifications (AWS/GCP).

Benefits

• 33 days holiday (including public holidays, which you can take when it works best for you)
• An extra day’s holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
• Generous family-friendly policies
• Incentives refer a friend scheme
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
• Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

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We are looking for a highly skilled Cyber GRC (Governance, Risk, and Compliance) Senior Consultant to help organizations strengthen their cybersecurity posture, manage cyber risks, and ensure regulatory compliance. The ideal candidate will have deep expertise in cybersecurity frameworks, risk management, regulatory compliance, and security governance.

As a Cyber GRC Senior Consultant, you will collaborate with client security, IT, and compliance teams to direct and oversee the development and implementation of cybersecurity policies, conduct risk assessments, and ensure adherence to global security standards and regulations.

Key Responsibilities:

Work on global projects with a truly global team, with the support of over 330,000 technical staff from our parent organization.

Contribute to the development of consulting go to market offerings and innovative solutions targeted at the C-Suite executive community that help them to understand and mitigate their cyber risks.

Direct and lead NIST CSF risk assessments

Oversee the design of innovative new services to lead the market incorporating AI and ML where it brings value.

Support presales, sales, and account management pursuits from a subject matter expert perspective.

Requirements

You will have already achieved strong career progression to date, and experience working with recognized consulting brands and large commercial sector clients. You will have a passion for cyber security and a genuine interest in staying updated with the latest industry trends and developments.

Your security experience must include:

A relevant undergrad or post grad degree (Infosec, Cyber Security, IT Security)

1-5 years+ in the field of cyber security/infosec.

A broad business skill set including stakeholder management, problem-solving, and resilience

Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences

Excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency), project-related mobility/willingness to travel

Your diverse Security experience should include one or some of below:

A good understanding of NIST CSF

A post graduate degree in cyber /information security

Cyber Due Diligence Assessments

Third- Party & Supply chain Cyber Risk Management

Incident Response Plan review

Supporting bids, RFP responses and proposals

Crisis Management Exercises (CMX)

Accreditation such as CISSP, CISM, CISA, GSLC, GSTRT, GCPM,

Helped design Target Operating Models (TOMs) and RACI Matrices

Helping the design of Cyber Security Roadmaps

Supporting Post Incident Reviews

Reading and summarising Cyber Threat Intelligence reports

Cyber Security Risk Assessments or Maturity Assessments

Design and/deliver awareness training.

Worked on Identity and Access Management projects.

Worked on Privileged access management projects

Our ideal candidate may have some of the following skills:

Have a broad business skill set including stakeholder management, problem-solving, and resilience

Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences

Have excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency), project-related mobility/willingness to travel

Enjoy working with different clients from different industries.

Have some experience in balancing technical and commercial considerations to develop practical advice or solutions for clients.

Be able to build strong and effective business relationships at all levels

Be able to support and oversee staff with less experience in their tasks

Be able to explain complex cyber methodologies using accessible non-technical language (both written and verbal)

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now._

About your team

At the Tech Transformation practice, we help CIOs overcome their biggest challenges such as geopolitical and macroeconomic uncertainty, cybersecurity, digital transformation, and budget constraints; enabling them to leverage technology to deliver value to their business. We have a team of business analysts, enterprise architects and cybersecurity specialists with business, operational, strategic, analytical and innovation skills. that come together to drive business IT alignment, Transform IT governance, IT Cost containment, operating efficiency improvements, Innovation enablement and cybersecurity risk, governance, and compliance.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal goals. Curious to learn more? We’d love to hear from you.... Apply today!

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Key Responsibilities and Activities

• Accounts Payable:
• Process vendor invoices, debit notes, and credit notes
• Match PO and invoice
• Perform vendor reconciliation and ledger management
• Track payment cycles and prepare payment batches
• Handle vendor queries and resolve discrepancies
• GST:
• Understand GST input tax credit (ITC) rules
• Verify vendor GST invoices
• Reconcile with GSTR-2A/2B
• Be aware of RCM (reverse charge) entries
• Have advance knowledge of GST returns documentation
• TDS:
• Know applicable TDS sections on contractors, professionals, rent, etc.
• Ensure correct deduction and accounting of TDS
• Validate vendor PAN and apply rate
• Prepare TDS working for monthly payments
• Excel Skills:
• Be comfortable with VLOOKUP/XLOOKUP, SUMIF(S), FILTER, PIVOT TABLES, etc.
• Prepare reconciliations and reports
• Clean and format data
• Software & Tools:
• Have hands-on experience with Tally / SAP / ERP systems
• Be comfortable using GST portal and TRACES
• Have strong working knowledge of MS Excel
• Soft Skills:
• Be accurate and attentive to detail
• Communicate effectively with other departments
• Show maturity while handling tasks
• Meet deadlines
• Maintain strong documentation and record-keeping
• Additional Advantage:
• Understand audit requirements
• Assist in monthly closing activities
• Know basic tax compliances
• Reconcile bank statements

Benefits

• Cab facility within hiring zones
• Medical insurance, term insurance, and accidental insurance
• Lunch/dinner provided at subsidized rates

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Keywords Studios is a leading international provider of technical and creative services to the global video games industry. We are seeking an Accounts Receivable Specialist to join our Shared Service framework, focusing on accurate billing and maintaining financial compliance.

Key Responsibilities

• Accurate Billing and Financial Closure: Collaborate with service delivery teams to ensure precise and timely monthly billing for all revenue streams, including recurring services, consulting hours, and project milestones. Support the finance team during the month-end close by preparing Accounts Receivable (AR) aging reports and reconciling sub-ledgers.
• Client and Dispute Resolution: Manage and resolve billing discrepancies or client inquiries related to service contracts and fee structures. Assist in the global client onboarding process by verifying tax documentation and accurately setting up profiles in the ERP system (e.g., SAP, Oracle, or NetSuite).
• Compliance and Process Efficiency: Maintain well-organized digital documentation to ensure all financial transactions comply with Internal Controls (SOX) and global tax regulations (VAT/GST). Identify and implement opportunities to streamline and automate manual billing workflows within the Shared Service department to enhance overall efficiency.

Requirements

• Academic Background in Finance / Economics or related field
• Excel Knowledge: use formulas to expedite work and using pivot tables to present data
• A good command of English (written and spoken)
• Fluency in Italian is mandatory
• A proactive and curious person who is open to learn and also share knowledge with others

Benefits

• Paid internship
• Ticket Restaurant
• On the job Training
• Hybrid Model

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.

About the Role

As an Analytics Engineer, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.

In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.

We are looking for a seasoned engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. As a generalist “fixer”, you may be deployed across several different Finance domains (e.g. Tax datamart, ERP migration, Procurement automation). For this role we need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Understand the data needs of Finance teams, including Revenue, Tax, Procurement, Compute & Infrastructure Accounting, Strategic Finance, and translate that scope into technical requirements

• Facilitate the development of data products and tools to for stakeholders to self-service and enable analytics to scale across the company

• Lead dimensional design - define, own, and maintain business facing data marts

• Be a cross-functional champion at upholding high data integrity standards and SLAs for the timely delivery of data

• Build and maintain insightful and reliable dashboards to track both operational and financial Metrics for the Executive team

• Contribute to the future roadmap of the Finance team from a data systems perspective

• Grow to be an expert in Finance Data and OpenAI’s data architecture

You might thrive in this role if you have:

• 7+ years of experience as an Analytics Engineer or in a similar role (Data Analyst or Data Engineer) with a proven track record in shipping canonical datasets

• Empathy towards non-developer stakeholders and their day-to-day pain points

• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or R

• Familiarity with managing distributed data stores (e.g. S3, Trino, Hive, Spark), and experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster)

• Experience in writing unit tests to validate data products and version control (e.g. GitHub, Stash)

• Expert at creating compelling data visualizations with dashboarding tools (e.g. Tableau, Looker or similar)

• Excellent communication skills and ability to present data-driven narratives in both verbal and written form to a non-technical audience

• Experience solving ambiguous problem statements in an early stage environment

You could be an especially great fit if you have:

• Prior experience leading the development of an internal production tool, serving hundreds of cross-functional customers such as Billing Operations, Deal Desk or Go-to-Market teams

• Some frontend experience with React, TypeScript, Retool, Streamlit, or building web apps

• Good understanding of Spark and ability to write, debug, and optimize Spark jobs

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer

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Cursor ships daily. Every release leaves signals behind: telemetry, prompts, completions, agent runs, sessions. Those signals power model improvement, evals, and experimentation. Data infrastructure is what turns them into something teams can trust.

A lot of systems here started simple so we could move fast. Over time, the constraints change and the “good enough” version becomes the bottleneck. This role owns the full ladder: patch what should be patched, redesign what should be redesigned, ship the replacement, and operate it.

Privacy guarantees are part of correctness. What we can retain and use depends on Privacy Mode and org configuration, and getting that wrong breaks a product promise. We choose work by business impact: what blocks product and model teams today, and what will block them next month.

Sample projects include...

• A core pipeline started as a pragmatic reuse of infrastructure built for something else. It works, but it cannot guarantee properties downstream consumers now need (for example, point-in-time consistency). You design and ship the replacement while keeping the existing system running.

• A new product surface ships without instrumentation. You talk to the team, define what needs to be captured, and wire it through before the absence becomes anyone else’s problem.

• Eval coverage drops. You trace it to an instrumentation gap introduced weeks ago by a product change nobody flagged. You fix the gap, add a contract so it cannot recur, and ship the dashboard that would have caught it earlier.

• Multiple consumers depend on overlapping data. You design schema evolution and validation so changes in one place do not silently degrade the others.

• Storage costs rise faster than usage. You decide what is worth keeping, implement retention and compression, and delete what is not.

What we're looking for

We’re looking for someone who has built real systems at scale and cares about correctness, cost, and ergonomics.

Strong signals include:

• Deep experience with Spark (Databricks or open-source Spark both count)

• Production experience with Ray Data

• Hands-on ownership of large data pipelines and storage systems

• Comfort debugging performance issues across client instrumentation, streaming, storage, and model-facing workflows, as well as, compute, storage, and networking layers

• Clear thinking about data modeling and long-term maintainability

• You have good judgment about when to patch and when to rebuild

Nice to have

• Experience running or scaling ClickHouse

• Familiarity with dbt, Dagster, or similar orchestration and modeling tools

We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the team

The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the role

We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!

In this role, you will:

• Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.

• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.

• Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.

• Implement robust and fault-tolerant systems for data ingestion and processing.

• Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.

• Ensure the security, integrity, and compliance of data according to industry and company standards.

You might thrive in this role if you:

• Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).

• Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.

• Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).

• Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.

• Solid understanding of Spark and ability to write, debug and optimize Spark code.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft AI are looking for a talented Member of Technical Staff, Infrastructure Data & Analytics to join their MAI SuperIntelligence Team. This role sits at the heart of strategic decision-making, turning raw telemetry into trusted, decision-quality insights on utilization, capacity, readiness, and efficiency. You'll work directly with leadership to shape the company's direction in the Superintelligence space.

About the Role

As a Member of Technical Staff, Infrastructure Data & Analytics, you will act as the technical lead and owner for infrastructure analytics across compute, storage, and networking. You will design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse. You will define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production). You will architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility. You will partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality.

Accountabilities

• Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking.
• Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse.

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment.

Technical skills:

• Distributed data processing frameworks and large-scale data systems.

Personal attributes:

• Strong communication skills; can explain complex systems clearly to senior leader.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation.

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What you'll do

• Weiterentwicklung des Fahrermodells für hochdynamische Fahrmanöver
• Recherche, Umsetzung und Bewertung neuer Regelungskonzepte im Fahrermodell
• Optimierung bestehender Simulationsmodelle hinsichtlich Laufzeit und Vereinheitlichung der Signal- und Parameterstruktur
• Erstellung automatisierter Tests (Funktion und Performance) für neue Modellstände

What you need

• Einen Studienplatz für Ingenieurwissenschaften (Maschinenbau, Mechatronik, Regelungstechnik oder vergleichbar) (mindestens im dritten Semester oder im Gap Year zwischen Bachelor und Master)
• Interesse für Fahrzeugdynamik, Regelungstechnik und Modellbildung
• Idealerweise erste Programmiererfahrung in Matlab/Simulink oder Python
• Eine selbstständige Arbeitsweise
• Sehr gute Deutsch- und gute Englischkenntnisse (min. B2)

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What you'll do

• Own and lead all aspects of the tax function at Perplexity, including direct tax (federal, state, and international income tax) and indirect tax (sales & use tax, VAT/GST, digital services taxes).
• Build the tax function from the ground up: establish processes, policies, internal controls, and systems to support a scalable and efficient tax operation.

What you need

• 10+ years of progressive tax experience, including a combination of public accounting (Big 4 preferred) and in-house experience at a high-growth technology company.

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What you'll do

Here's what you can expect in our team:

• Optimizing translations for dubbed content
• Producing natural sounding dubbed audio using a combination of tools
• Voice casting to ensure content sounds natural in your language
• Collaborating with our audio engineering and mixing teams on edits

What you need

• Native or near-native fluency in one or more supported languages
• Prior experience in dubbing and translating audiovisual content

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What you'll do

Mitwirken bei Planung und Durchführung von Crash- sowie Fahrzeugkomponentenversuchen.

• Arbeiten an komplexen Prüfständen wie z.B. Crashanlage oder Fußgängerschutz
• Einsatz moderner Sensormesstechnik & Highspeed-Kamera-Technik
• Optische Vermessung (punktuell & flächenhaft)
• Einblicke in die Dummytechnik (Dummylabor)
• Data Science & IT-Tools
• Prototypen und projektspezifische Sonderprüfaufbauten

What you need

• Ein Studienplatz im Ingenieurwesen wie z.B. Maschinenbau, Fahrzeugtechnik, Elektrotechnik, Mechatronik, Vermessung, Geoinformatik oder Geodäsie (mindestens im 3. Semester oder im Gap Year zwischen Bachelor und Master)
• Erste Erfahrung mit Mess- und/oder Regelungstechnik
• Sicherer Umgang mit Office365
• Kenntnisse in MATLAB, Programmiersprachen, CAD-Tools oder Datenanalyse sind ein Plus
• Teamgeist, klare Kommunikation und eine strukturierte Arbeitsweise
• Begeisterung für Technik und Lust, Neues zu entdecken

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You'll be responsible for the development and planning of special containers for safe and high-quality transport, as well as the management of load carriers in the supply chain, including new systems, repair, and disposal. You'll also be responsible for coordinating and adapting packaging and process standards within the VW Group and integrating and improving sustainability in packaging solutions.

What you need

• A study place for economics/in engineering sciences, MINT studies, packaging technology, or a comparable study program (at least in the 3rd semester or in the gap year between Bachelor and Master)
• Ideally logistics or supply chain as a specialization
• A safe handling of MS Office (especially PowerPoint & Excel)
• A self-contained, structured, and analytical way of working

Why this matters

This role is a great opportunity to gain practical experience in a leading company in the automotive industry and to contribute to the development of innovative packaging solutions. You'll work in a dynamic and international team and have the opportunity to develop your skills and knowledge in a variety of areas.

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You'll be responsible for planning new vehicle projects in terms of corrosion-protective design of the vehicle construction and paintability of the body. You'll also be responsible for process planning and procurement of equipment (mechanical engineering) for the integration of new vehicle models into production in the paint shop. Ensuring the manufacturability of the product in the production process with interfaces to development and production is also part of your tasks. Additionally, you'll be involved in innovation projects for process optimization/sustainability as well as testing of new technologies.

What you need

Your focus areas will be...

• Insights into automation and innovation projects of the paint shop
• Creation of work packages, tender documents, and price comparisons in the context of equipment procurement
• Setup of production equipment from concept to vehicle integration
• Insights into cross-functional series support teams
• Innovation scouting and benchmarking
• Creation of protocols and preparation of meetings

Why this matters

This role gives you a comprehensive insight into the planning processes of modern, high-tech production facilities. You'll be involved in exciting tasks with your own focus areas, depending on your interests. You'll gain valuable experience through independent participation in projects and personal and professional development. Mobile learning is possible after coordination with the team.

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You'll be responsible for the implementation of an effective verification and validation management in vehicle projects and bear the overall responsibility for a secure implementation with physical and virtual methods in all phases of the product development process.

• Vergabemanagement inkl. Vergabeplanung in Abstimmung mit Controlling und Einkauf
• Vergabeunterlagen und Bedarfsplanungen (Mengengerüste) im Rahmen von Erprobungen
• Kosten- und Nutzungsanalysen im Rahmen von physischen Erprobungen
• Berichtswesen Fahrzeug- und Blockerprobungen inkl. Tracking von Kennzahlen
• Obligo- und Kostentracking
• Ressourcen- und Standortmanagement für Erprobungen und Prüfgelände
• Vor- und Nachbereitung von Blockerprobungen
• Gremien und Abstimmungstermine

What you need

• Ein Studienplatz für (technische) BWL, Wirtschaftswissenschaften, -informatik, -ingenieurwesen oder eines vergleichbaren Studiengangs (mindestens im 3. Semester oder im Gap Year zwischen Bachelor und Master)
• Eine selbstständige, gewissenhafte, strukturierte und analytische Arbeitsweise
• Eine ausgeprägte Team- und Kommunikationsfähigkeit
• Eine ausgeprägte Zahlenaffinität
• Kenntnisse in PowerBI von Vorteil
• Ein sicherer Umgang mit MS Office
• Sehr gute Deutsch- und gute Englischkenntnisse (min. B2)

Why this matters

This role is a great opportunity to gain experience in a dynamic and innovative company like Porsche. You will work on various projects and tasks, and have the chance to develop your skills and knowledge in a supportive and collaborative environment.

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