Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.

JOB PURPOSE:

The Senior UX Researcher conducts research on how customers use mobility products as well as new technologies which could be leveraged towards the UX experience. You will work with emerging, state-of-the art collaborators to find and progress new approaches to solve current UX issues and to develop new value solutions.

KEY ACCOUNTABILITIES

• Research and improve the user experience of current and future products, both in automotive and consumer electronics space.
• Involve state-of-the-art collaborators in the NA regional sector and oversee collaborator research work.
• Analyze user research data to understand customers needs and desires for UX functionality (displays, information, interface, entertainment, features, controls, etc)
• Manage contractors and vendors to meet multiple activity and project milestones on schedule
• Modify and/or create new UX solutions across a broad range of applicability.
• Create feature and user interface operational Proof-of-Value Experiments with regional collaborators

QUALIFICATIONS, EXPERIENCE, & SKILLS

Minimum Educational Qualifications

• Bachelors Degree in Human Factors, Industrial Design, UX design; Engineering, Psychology, Product Development or equivalent relevant work experience

Minimum Experience:

• 5 or more years of relevant experience

Other Job-Specific Skills:

• Strong experience conducting qualitative and quantitative user-centered research preferably in automotive, mobility or consumer technologies.
• Product Benchmarking
• Must be able to communicate insights clearly and influence design decisions

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development programs

Additional Offerings:

• Tuition Assistance & Student Loan Repayment
• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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The successful candidate will be directly involved in a critical path for high-volume trading with a core focus on technical and economic performance. They will work closely with quantitative research to optimize the firm's overall execution performance.

Key responsibilities include:

• Building out the C++ low-latency framework for algorithmic trading
• Developing execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces
• Enhancing the platform's efficiency using network and systems programming
• Creating systems, interfaces, and tools for historical market data and trading simulations
• Assisting in building and maintaining automated tests, performance benchmark framework, and other tools

The ideal candidate will have 5+ years of professional experience in a front-office, financial services environment as a senior contributor, with a strong background in data structures, algorithms, and object-oriented programming in C++. They should be proficient with new features of C++17/C++20/C++23, multithreading, and asynchronous environments. A degree in computer science or a related field is required.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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Primary responsibilities include:

• Owning independent risk oversight: overseeing global credit portfolios, with a clear view of exposures across credit spread, default, recovery, curve, basis, convexity, embedded optionality, ratings migration, financing, liquidity, and correlation.
• Analysing P&L and risk: analysing risk drivers, P&L attribution, hedging efficiency, scenario behaviour, and tail outcomes for portfolios trading corporate bonds (investment grade and high-yield), leveraged loans, credit indices (CDX, iTraxx), single-name CDS, tranches, and structured products such as CLOs and non-agency MBS.
• Developing and overseeing risk guidelines: establishing guidelines for portfolio construction, concentration, liquidity, gap risk, financing, and drawdown. Ensuring mandates are defined, scalable, and consistently observed.
• Reviewing trade and portfolio construction: reviewing positions with close attention to bond and loan terms, covenants, capital structure, seniority and security, structural protections, embedded optionality (calls, puts, prepayment and extension risk), CDS documentation, index and tranche construction, financing and margin assumptions, and event risk (ratings actions, refinancings, restructurings, and defaults).
• Reviewing portfolio risk: working closely with portfolio managers to assess positions where risk may be mispriced, crowded, imperfectly hedged, or less aligned with mandate, liquidity, or market regime, with particular focus on default and downgrade risk, complex structures, and crowded credit themes.
• Evaluating portfolio manager candidates: assessing prospective Portfolio Manager candidates by testing the strength of their process, risk discipline, hedging approach, portfolio construction, and historical returns.
• Improving risk infrastructure: enhancing the Firm's models, systems, and reporting for credit risk. Working with quantitative researchers and technologists to improve valuation, stress testing, exposure decomposition, default and loss modelling, and real-time reporting.
• Communicating with precision: presenting key exposures, stress results, and changes in market structure clearly to senior leadership and investment teams.
• Monitoring global market developments: tracking primary and secondary market activity, issuance trends, liquidity, market structure, rating migration, default cycles, and regional differences in the U.S., Europe, and Asia that may affect risk-taking and portfolio construction.

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The ideal candidate will contribute to alpha research, signal development, and strategy implementation in a dynamic and fast-paced environment. This role offers significant career growth.

Principal Responsibilities:

Work closely with the Senior Portfolio Manager to develop systematic macro strategies, focusing on alpha research, including idea generation, data preprocessing, statistical analysis, backtesting, and implementation.

Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.

Independently explore and develop new alpha ideas while collaborating in a transparent and team-oriented environment.

Preferred Technical Skillset:

Strong research and programming skills, with proficiency in Python.

Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.

Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-ranked university. Strong candidates with Bachelor's degree will also be considered.

Exceptional problem-solving abilities, intellectual curiosity (especially in alpha research), and a proactive research mindset.

Creativity and out-of-the-box thinking, combined with rigorous quantitative analysis.

Preferred Experience:

2+ years of experience in quantitative research with a focus on systematic macro strategies.

Preferred experience in hedge fund alpha research in commodities, FX, equity, and bond futures.

Experience in macro intraday strategies is a strong plus.

Experience in trading cost analysis is a plus.

Experience in machine learning is a plus.

Target Start Date:

Up to 12 months (strong preference for candidates who can start sooner)

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.

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Primary responsibilities include:

• Owning independent risk oversight: overseeing global convertible bond portfolios, with a clear view of exposures across delta, gamma, vega, credit spread, rates, borrow, financing, liquidity, and correlation.
• Analysing P&L and risk: analysing risk drivers, P&L attribution, hedging efficiency, scenario behaviour, and tail outcomes.
• Developing and overseeing risk guidelines: establishing guidelines for portfolio construction, concentration, liquidity, gap risk, financing, and drawdown. Ensuring mandates are defined, scalable, and consistently observed.
• Reviewing trade and portfolio construction: reviewing positions with close attention to bond terms, embedded optionality, capital structure, stock borrow, dividends, corporate actions, financing assumptions, and event risk. Assessing both directional and relative-value risk.
• Reviewing portfolio risk: working closely with portfolio managers to assess positions where risk may be mispriced, crowded, imperfectly hedged, or less aligned with mandate, liquidity, or market regime.
• Evaluating portfolio manager candidates: assessing prospective Portfolio Manager candidates by testing the strength of their process, risk discipline, hedging approach, portfolio construction, and historical returns.
• Improving risk infrastructure: enhancing the Firm's models, systems, and reporting for convertible bond risk. Working with quantitative researchers and technologists to improve valuation, stress testing, exposure decomposition, and real-time reporting.
• Communicating with precision: presenting key exposures, stress results, and changes in market structure clearly to senior leadership and investment teams.
• Monitoring global market developments: tracking issuance, liquidity, market structure, and regional differences in the U.S., Europe, and Asia that may affect risk-taking and portfolio construction.

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The goal of the team is to build a unified set of risk data for decision-makers at the firm level to make informed decisions about the firm's complex set of positions. The team will be coordinating with multiple different asset-class risk teams to build the firm's high-level view, including building out individual asset-class risk analytics in cases where it is deemed necessary.

This role involves research into using many different statistical and probabilistic techniques to evolve the firm's understanding of risk. Key to the role will be understanding the ways in which different market structures impact their individual asset classes, the behavior of large market participants, shared traits of popular trading strategies, and developing probabilistic methodologies to anticipate potential stress scenarios.

Responsibilities:

• Build and validate cross-asset risk measures.
• Identify market factors across asset classes and identify common risk premia trades.
• Apply feature discovery and classification-style ML to identify and interpret portfolio/trade drivers with careful validation and robustness testing.
• Partner closely with asset class risk teams to test assumptions, interpret results, and drive adoption of the analytics.
• Develop forward-looking scenario models, identifying risks in the firm shared across asset classes.

Requirements:

• 1–5 years of hands-on experience in quantitative research, modeling, or applied ML
• Strong foundation in applied mathematics / statistics / machine learning (especially probability theory, linear algebra, calculus, and statistics)
• Demonstrated ability to design, implement, and validate models from scratch (not just apply off-the-shelf packages)
• Python proficiency for research prototyping and analysis
• Experience with deep learning frameworks (For example, PyTorch/TensorFlow)
• Strong research habits: hypothesis formation, experimentation, back testing/validation, and clear communication
• Financial markets experience is helpful but not required

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

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Responsibilities:

• Build the core application and workflow agents for Market Data Operations in Python; integrate with AWS and internal systems like the Market Data Warehouse.
• Ingest and understand contracts at scale, using LLMs to extract costs, fee schedules, entitlements, renewal terms, and payment details.
• Connect the dots between contracts, entitlements, invoices, and payments so Ops, Legal, and Finance can see a single 'source of truth' and catch issues early.
• Design and tune LLM workflows (prompt engineering, tool/MCP integration, structured outputs) for contract Q&A, summarization, and exception flagging.
• Own monitoring and controls for the AI system: logging, metrics, guardrails, and human-in-the-loop review to keep performance, reliability, and quality high.
• Work directly with stakeholders (Market Data Ops, analysts, Legal, Finance/AP) to understand their workflows and quickly iterate on features that actually get used.

Required Skills & Experience:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of professional experience with Python, including building production services (Django, Flask, or FastAPI).
• Experience working with unstructured documents (contracts, PDFs, legal docs) and turning them into structured data.
• Prompt engineering and working with structured JSON outputs
• Comfort wiring models into real applications (tool/MCP-style integrations, APIs).
• Experience using cloud platform, ideally AWS.
• Able to define and track quantitative metrics for AI features (accuracy, latency, cost, etc.).
• Strong communication skills and comfortable working directly with non-technical users.
• Enjoys a start-up-like environment inside a large firm: small team, high ownership, fast iteration.

Nice to Have:

• Experience building AI solutions in financial services, especially around market data, vendor management, or legal/contract workflows.
• Familiarity with entitlements/governance and large internal data platforms (e.g., a Market Data Warehouse).

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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As a Senior HFT Developer on SPEED, you will design and build core low-latency components for order entry, market data, exchange simulation, feature extraction, and strategy containers, initially focused on delivering the full set of capabilities required for trading and research infrastructure. You will collaborate closely with system architects and quantitative researchers, operate and optimise these systems in production, and have clear opportunities to grow into technical and team leadership as the effort scales.

Principal Responsibilities:

• Build low-latency infrastructure for order entry, market data, exchange simulators, feature extraction, strategy container, and other systems.
• Build convenience layer tools and services to facilitate trading teams onboarding at MLP.
• Provide level 2 support for the systems in production.
• Work closely with the SPEED architect, quantitative researchers, and the business to provide high ROI solutions that are aligned with both the business and the platform strategy.
• Opportunities for growth in terms of leadership as effort expands.
• Will liaise with many other MLP teams depending on project focus.

Qualifications/Skills Required:

• 5+ years with a well-regarded HFT group, delivering production-grade, low-latency systems.
• Demonstrated expertise in C++ and Python for production, low-latency systems.
• Deep familiarity with low-level Systems: OS tuning, networking stack, user-space drivers, and kernel-bypass patterns.
• Strong understanding of the HFT quantitative research pipeline.
• Experience with HPC grids (scheduling, storage, job management) for research and production workloads.
• Cloud experience (AWS, GCP) is a plus.
• Proven ability to navigate large organisations, create cross-team synergies, and influence outcomes.
• High accountability and ownership; able to self-manage time, set priorities, and meet deadlines.
• Potential to provide technical leadership and manage a small team.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. We pay a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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This is a hands-on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. The successful candidate will be expected to assess the firm's existing data and workflow landscape, identify and size near-term P&L opportunities, and lead the build-out of execution and analysis infrastructure.

Principal Responsibilities

• Assess the firm's existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real-time and historical data layer to support execution and analysis
• Identify and size near-term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps
• Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum, from liquid on-the-run Treasuries to illiquid corporate bonds,using RFQ, click-to-trade, and direct connectivity workflows
• Build transaction cost analysis and pre-trade cost models for fixed income instruments;
• Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly
• Recruit and mentor junior quants and engineers as the platform scales

Qualifications / Skills Required

• 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side
• Hands-on experience building execution infrastructure for institutional fixed income: RFQ and/or click-to-trade workflows, FIX protocol connectivity, and integration with major electronic venues
• Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities
• Strong programming skills; experience with data pipelines and market data APIs
• Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field
• Demonstrated ability to translate data analysis into actionable P&L estimates and communicate findings to non-technical stakeholders
• Experience as a hands-on development lead, with a track record of taking projects from inception to production

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Your primary responsibilities will include:

• Preparing performance attribution reports for senior management and portfolio managers, highlighting primary PnL drivers and providing ad-hoc deep-dive analysis as required.
• Investigating and explaining material PnL moves on a Trade Date and T+1 basis, acting as a key point of contact for traders, risk, and finance on all PnL-related queries.
• Developing systematic controls to validate and enhance PnL attribution processes, including automated reconciliations, threshold-based alerts, and exception reporting.

In addition, you will be responsible for monitoring and validating real-time and end-of-day pricing for all fixed income instruments across Rates, Credit, and FX, including derivatives and structured products.

You will also maintain a strong working knowledge of Greeks-based risk sensitivities and their application to PnL attribution across fixed income derivatives, collaborate with quants and risk teams to ensure risk factor decompositions used in PnL attribution are accurate and aligned with the firm's pricing and risk models, and support the testing and validation of new pricing models and their impact on PnL and risk reporting.

To succeed in this role, you will need to have an advanced degree in a quantitative discipline such as Engineering, Mathematics, Physics, Financial Engineering, or a related field, experience in PnL attribution, derivatives pricing/valuations, quantitative risk, or a closely related function within a front-office, risk, or portfolio analytics environment, and knowledge of fixed income products and their risk profiles across Rates, Credit, and FX, including derivatives, structured products, and asset-backed securities.

You will also need to have solid coding skills in Python, with the ability to work efficiently with large datasets, build automation, and develop analytical tools, and excellent communication skills, with the ability to interact effectively with portfolio managers, quants, risk, and technology teams across the firm.

If you are a collaborative team player with a strong willingness to support others, adapt quickly, and thrive in a fast-moving, high-pressure environment, we encourage you to apply for this exciting opportunity.

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As a Senior Trait Definition Scientist, you will work with a diverse set of teams and data inputs to develop roadmaps that deliver meaningful impact of gene editing for crop improvement, leveraging some of the industry's most extensive and global agriculture and genetic datasets.

Your primary responsibilities will include:

• Developing and documenting recommendations for trait targets for gene editing that are guided by business impact and aligned with product and portfolio needs.
• Guiding connectivity between germplasm development targets and gene editing priorities to ensure that editing strategies translate into improved seeds and traits.
• Developing robust workflows that enable cross-team communication, decision making, and iterative prioritization to shape research direction and resource allocation.
• Identifying novel opportunities to utilize gene editing to impact the development of new seeds and traits products, leveraging emerging science and data-driven insights.
• Leading or assisting in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams.
• Actively building and expanding networks within the Crop Genome Editing team and across functions, serving as a consultant to leadership and partners in your area of expertise.
• Contributing to the Biology and Genome Design community by continuously developing your own capabilities and sharing best practices, tools, and learnings with colleagues.

To be successful in this role, you will need to possess a PhD in Biological Sciences, Plant Breeding, Plant Sciences, Genetics, Developmental Biology, or a related field, and at least 4 years of post-PhD experience working in gene editing, germplasm improvement, or closely related fields.

You will also need to have excellent communication skills with fluency in English, both written and verbal, and experience defining the collection, organization, analysis, and use of complex biological datasets and translating them into testable hypotheses.

Additional compensation may include a bonus or incentive compensation (if relevant).

This posting will be available for application until at least April 20, 2026.

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Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

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We are currently seeking an experienced professional to join our team in the role of Analyst. As an Analyst, you will work extensively with the analysts and associates in Guangzhou and global investment banking professionals on preparing presentation materials and participating in pitches and deals.

Key responsibilities include: Conducting industry and product research; benchmarking, profiling companies, case studies, preparing financing models and valuation analysis (relative and absolute valuation methods, Merger models, etc.) Supporting origination of mergers and acquisitions (M&A) assignments, divestitures, financial restructurings and associated financing solutions Performing financial analysis and research as per the requirements Acquiring in-depth understanding of client needs and the market, industry and business environment

Requirements: Exceptionally qualified students from business schools Complete fluency in written and verbal English and Mandarin languages Excellent quantitative and analytical skills; Good grasp of business concepts Proficient at PowerPoint, Excel and Word High attention to detail; Good at multitasking Excellent communication and interpersonal skills

You’ll achieve more when you join HSBC. HSBC is committed to building a culture where all employees are valued, respected and opinions count.

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Your primary responsibilities will include working with our salesforce to design an innovative product roadmap, as well as the actual products, to meet new or future client demand. You will also be responsible for helping to design compelling marketing campaigns around these products to maximise engagement with our client base.

In addition, you will oversee the full spectrum of product launch, including onboarding into our systems, to ensure risks generated by these products are well controlled by our organisation. You will liaise with our relevant trading teams to incorporate feedback, leverage our strengths, and plan out necessary future capabilities.

Collaboration with our internal tech teams will be essential to streamlining the trade volumes resulting from our equity derivatives and QIS businesses.

This is a full-time position, Monday to Friday, 40 hours per week, with a salary range of $250,000.00 to $260,000.00 per year.

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As a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise, you will partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data. This involves guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.

Your responsibilities will also include analysing feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. You will design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems, including creating models that critique, grade, and explain agent outputs.

To succeed in this role, you will need a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and the ability to thrive in a dynamic, fast-paced research environment. You should be able to think outside the box, stay current with the latest literature in AI evaluation, and be passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.

In addition to your technical expertise, you will need excellent communication and collaboration skills, as you will work closely with cross-functional teams to drive project success.

If you are a motivated and detail-oriented individual with a passion for AI research and evaluation, we encourage you to apply for this exciting opportunity.

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As a Solutions Engineer, you will be part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

Key responsibilities include:

• Becoming an expert on the end-to-end of Scale Products
• Creating tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level
• Partnering with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer
• Integrating and ingesting a variety of external datasets to solve government use cases
• Interacting with customers on a day-to-day basis to understand their pain points and design solutions
• Working with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understanding public sector mission sets and strategic objectives to better showcase Scale's products

Ideal candidates will have:

• A strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills, ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

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

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This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Salary Range: $167,200-$209,000 USD

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In this role, you will translate planning and operational questions into metrics, dashboards, and analyses that inform decision-making. You will be responsible not only for producing rigorous analytical work, but also for ensuring the analytics products you build are reliable, well understood, and continuously improving based on how they are used.

This role is ideal for an early-career analyst who is technically strong, thoughtful about system design, and motivated to improve how data is used across the organization.

Responsibilities

• Build and maintain dashboards, scorecards, and analytical tools that track performance against plan and surface relevant risks, to be used in recurring planning and operating reviews
• Iterate on dashboards and analytical tools by incorporating feedback from users and evolving requirements as planning processes mature.
• Perform quantitative analyses including forecasting, trend analysis, scenario modeling, variance analysis, and root-cause investigations.
• Partner with data engineering and platform teams to define data requirements, validate data quality, and ensure analytical outputs are accurate and trusted.
• Document assumptions, definitions, and methodologies to ensure metrics are understood and applied consistently across the organization.

Requirements

• 1–2+ years of professional experience in an analytics-focused role (Data Analyst, Analytics Consultant, or similar).
• Degree in a quantitative or analytical field (Statistics, Engineering, Data Science, Math) or equivalent practical experience
• Strong foundation in advanced analytics; ability to write Python, R, SQL, or other analytic languages
• Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Looker, Tableau, Power BI, or similar is a plus
• Demonstrated ability to work cross-functionally, aligning diverse stakeholders and driving outcomes
• Ability to thrive in a fast-paced ambiguous environment, balancing detail orientation with strategic judgment
• Must be authorized to work in the United States

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What you'll do at Figma:

• Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma Design
• Partner closely with product leaders to find opportunities, generate strategy, and define success
• Break down complex business challenges into clear research plans; lead the end to end research process and demonstrate strong storytelling skills to deliver significant impact to Figma’s businesses
• Harness your product mindset and storytelling chops to influence product roadmap
• Advocate for the role of Research as a strategic partner in the business process

Requirements:

• 7+ years of experience in UX research or user insights at a high growth B2B SaaS company
• Expertise in applying a variety of research methodologies, including both qualitative and quantitative techniques, to address product challenges spanning from opportunity identification, concept testing, to feature iterations
• Shown success in identifying assumptions that underpin key challenges, prioritizing the most critical assumptions, and creating right sized research approaches to test those critical assumptions
• A proven track record of gaining consensus from executive team members and cross disciplinary partners, going beyond mere research mechanics and findings to articulate a larger user story, and the “so what” to inspire action
• Experience conducting research on AI-powered features or working on teams exploring AI applications

Nice to have:

• 2+ years in product design, user centric product management, product development, and/or front end engineering
• A familiarity and depth of experience using Figma’s products

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 sits at the intersection of portfolio management, brand strategy, and executive communications. You'll own internal communications for your portfolio of teams, serving as their embedded communications expert while maintaining tight partnerships with their leadership.

Responsibilities:

• Own the internal communications strategy for Policy, becoming an expert in their work and a trusted member of their leadership team
• Partner closely with function leaders and executives to understand priorities, help them communicate change, and ensure their teams feel connected to the broader mission
• Cultivate and manage channels for disseminating timely information from teams
• Design and implement strategies to boost signal and reduce noise so employees know what's important and what it means for them
• Use qualitative and quantitative research to propose creative strategies and tactics that align with company goals and will resonate with our employee audience
• Weave our brand across different internal touchpoints, working across teams to uplift stories that connect our daily work to our mission and identify cultural moments that reinforce our values
• Exhibit operational excellence to help plan and execute internal fora like all-hands
• Partner closely with the broader internal communications team to ensure updates are being accurately and consistently cascaded via all our existing channels and live forums.

You may be a good fit if you:

• Have worked in journalism, political campaigns, external communications, or government affairs,somewhere you learned to make complex, high-stakes material clear under pressure
• Are an exceptional writer with a particular talent for distilling complex decisions and cross-functional projects into simple, compelling narratives
• Have 10+ years of proven experience executing and leading in fast-changing, complex, and international organisations
• Thrive on deep partnership with leadership teams and can truly embed yourself in business functions
• Have a keen eye for organisational culture and can recognise authentic moments worth amplifying while helping teams navigate cultural evolution
• Are comfortable navigating organisational dynamics and can build strong working relationships with executives

The annual compensation range for this role is $255,000-$320,000 USD.

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Key responsibilities include:

• Developing best practices for instrumentation and experimentation to help fulfill our mission to bring everyone the inspiration to create a life they love
• Bringing scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of our users
• Building and prototyping analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
• Working cross-functionally to build and communicate key insights, and collaborating closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Requirements include:

• 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
• Extensive experience solving analytical problems using quantitative approaches, including machine learning, statistical modeling, forecasting, econometrics, or other related fields
• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn
• A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail, and commitment to high-quality, results-oriented output
• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
• Excellent communication skills and ability to explain learnings to both technical and non-technical partners
• A team player who's able to partner with cross-functional leadership to quickly turn insights into actions

Relocation assistance is not eligible for this position. The base salary range for this position is $139,764-$287,749 USD, and the position is eligible for equity.

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At Setpoint Capital, we focus on asset-backed private credit investments where we can bring unique value through our technology, operations, and insights.

Responsibilities

Perform quantitative and qualitative analysis used to support the underwriting of Setpoint's potential investment opportunities.

Prepare internal memoranda and other materials used to support investment recommendations and to communicate with internal and external stakeholders.

Start and develop relationships with new and existing borrowers.

Assess the performance of existing investments, including both the collateral as well as the operating company.

Evaluate market conditions in existing and potential new investments; provide information and analysis to develop and support asset allocation decisions related to these categories.

Provide support in executing new investments as well as ad-hoc projects as they arise.

Requirements

1-3 years of relevant experience, preferably in structured credit, private equity, or investment banking.

A desire to learn, take on new challenges, and be highly self-motivated.

Strong interpersonal skills.

Demonstrated analytical ability.

Attention to detail with the ability to work on multiple projects simultaneously.

Benefits

Competitive salaries, stock options, medical, dental and vision coverage, 401k, disability coverage, and flexible vacation.

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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists

• Coach and mentor data scientists of varying experiences to ensure their continued growth

• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment

• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies

• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth

• Identify what matters most and prioritise ruthlessly

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company

• 3+ years of experience directly managing data scientists or product analysts

• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact

• Deep understanding of statistical analysis, experimentation design, and common analytical techniques

• Experience using data to inform product and business decisions that led to measurable outcomes

• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products

• Expertise in using data to inform AI/ML product development

• Background in SaaS product

Compensation

Canada Pay Range $187,900-$254,100 CAD

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Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer-term vision
• Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
• 4+ years of management experience. Experience managing managers is a bonus
• Strong skills in programming (Python or R) and SQL
• Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving
• Deep understanding of Ads Marketplace
• Extensive experience of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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The Product Operations team connects strategy to execution by creating alignment up, down, and across the company. They will work closely with Product Managers and Engineers to identify bottlenecks, streamline workflows, enhance decision-making processes, and scale our Product's impact.

Working as an extension of the product leadership team, they will balance hands-on tactical execution with strategic initiatives, bringing a pragmatic eye for scale and operationalization in a fit-for-purpose way.

The Research Product Team is responsible for launching our new models into the wild. They are the connective tissue between our Research Org, our internal product teams, and our users themselves.

Responsibilities:

Inputs to Product Teams – Ensuring product teams have the information they need to make great decisions

• Voice of customer synthesis and feedback routing from strategic to tactical
• Create high-leverage engagement points with partners throughout the product lifecycle
• Establish rigor in understanding users via reliable metrics, dashboards, and clear hypotheses
• Establish mechanisms for measuring product success and impact, including analytics dashboards and reporting systems
• Streamline the most important decision points for teams and impacted partners

Ops of the Product Org – Creating the operating systems that enable product teams to thrive

• Support team rhythms, rituals, and operational models (offsites, Monthly Business Reviews, Team town halls, etc)
• Create reliable run-of-business systems across product
• Improve common product development processes and tooling
• Facilitate effective collaboration between Product, Engineering, Sales, Customer Success, and Marketing teams

Outputs from Product Teams – Amplifying product impact by connecting what we build to those who need it

• Run Early Access Programs (EAPs) and beta programs that validate hypotheses and improve products
• Maintain launch motions that allow us to ship with confidence and monitor impact
• Create cross-team roadmap visibility that drives cross-functional alignment
• Make clear to all of Anthropic what Product is working on and how it's going

You may be a good fit if you have:

• 4+ years of experience in product operations, program management, or related operational roles in hyper-scaling tech companies
• Mission-aligned with building safe and beneficial AI systems
• Track record of building processes and programs from 0 to 1 and scaling them thoughtfully
• Experience working deeply with AI and frontier models
• Strong cross-functional partnership skills with ability to influence without authority
• Strong analytical skills with the ability to translate complex qualitative and quantitative data into actionable insights with clear recommendations
• Success managing complex, multi-stakeholder initiatives in fast-paced, ambiguous environments
• Experience with launch coordination, early access programs, or customer feedback loops
• A passion for iterative, user-driven product development
• Experience as a bridge builder who connects strategy to execution and creates alignment across teams.

The annual compensation range for this role is $240,000-$260,000 USD.

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Key responsibilities include owning the growth roadmap for top-of-funnel optimization and pricing & packaging tests across geolocations and platforms, identifying and prioritizing the highest-impact opportunities across landing pages, sign-up, onboarding, upgrade flows, and plan selection, and leading structured experimentation (A/B and multivariate testing).

You will partner with Design and Engineering to build and iterate on growth components (upgrade surfaces, pricing modules, offer, onboarding experience) and drive pricing and packaging strategy: run pricing experiments, evaluate packaging changes, and improve plan positioning and upgrade paths.

Expand growth globally by improving localized acquisition and conversion, addressing country-specific payment and platform considerations, and tailoring offers by market. Improve mobile monetization by optimizing mobile upgrade journeys, experimenting with placements and messaging, and partnering on app-store/platform constraints and opportunities.

Monitor funnel health and cohort performance, balancing conversion gains with long-term retention, trust, and user experience quality.

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Key responsibilities include:

• Managing the end-to-end delivery of analytics projects, from scoping and planning to execution and delivery
• Translating ambiguous business questions into tractable data analysis projects
• Interpreting and investigating data and statistical questions that arise through the delivery of client work
• Collaborating with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables
• Serving as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle
• Monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed

To be successful in this role, you will need to have a strong background in analytics and project management, with experience leading cross-functional teams and managing client relationships. You will also need to have excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.

In addition to your technical skills and experience, you will need to be able to integrate AI into your daily work, from summarizing documents to automating workflows and uncovering insights. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar.

If you are a motivated and experienced professional looking to join a dynamic team and contribute to the development of cutting-edge analytics solutions, please apply today!

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Our AI models learn to generate therapeutic molecules with improved properties by training on natural and experimentally-derived data. Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data.

You will be responsible for the development and deployment of novel high-throughput assays to measure various properties of large sequence libraries. You will use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected. You will apply this data to efficiently improve design of therapeutic molecules in close collaboration with biologists, ML and data engineers, and translational experts.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation

• Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo

• Generate, analyze, and communicate data that maximally impacts AI-based molecular design

Qualifications

• PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)

• Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art

• Solid foundation in theory and techniques of molecular and cellular biology

• History of building highly multiplexed assays to generate rich datasets from mammalian cells, such as large functional screens or single-cell 'omics

• Scientific programming (preferably in Python), including analysis and visualization of complex data

• Availability to work with team members across US and Europe, with meetings starting at 8am PT

• Readiness to travel several times a year for company retreats and business events

• We value in-person collaboration and expect candidates to work at our lab location

Preferred skills

• Experience with mammalian synthetic biology, particularly for cell therapy applications

• Knowledge of RNA biology, biochemistry, and biologics drug development

• Strong understanding of next-generation sequencing platforms (Illumina, Oxford Nanopore, Pac Bio), including library preparation and data analysis

• Experience generating and analyzing large 'omics datasets, via sequencing and/or mass spectrometry

Compensation

$135K – $240K + Bonus + Equity

What we offer

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based Beginners

• 401K with company match for US based Beginners and Direktversicherung for German Beginners

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

*Varies by country and does not apply to internships

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You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.

In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.

You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

• Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

• Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

• Big data engineering (Ex: Spark, Hadoop, Kafka)

• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

• Fluent in SQL and database technology.

• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

• Desired: Built solutions with public cloud providers such as AWS, Azure, or GCP

• Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

• Travel to customers in your region up to 30% of the time.

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You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.

This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.

If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

Key Responsibilities: Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

Requirements: Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment. Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

Preferred Qualifications: Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. Willingness to travel up to approximately 10%.

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In this role, you will be responsible for managing the end-to-end delivery of analytics projects, collaborating with cross-functional teams, and serving as the primary point of contact for clients. You will also be responsible for monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed.

To be successful in this role, you will need to have a strong background in healthcare analytics, excellent project management skills, and the ability to communicate complex analytical concepts to non-technical audiences. You will also need to be proficient in data analysis tools and programming languages such as SQL, Python, or R.

At Komodo Health, we are committed to using AI strategically to solve problems and generate new ideas. We expect every team member to integrate AI into their daily work, from summarizing documents to automating workflows and uncovering insights.

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application.

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This includes managing M&A processes, analysing industry trends, assessing competitive landscapes, identifying investment opportunities, and supporting marquee fundraising initiatives. This person will work cross-functionally with a variety of stakeholders at all levels of CoreWeave and have frequent opportunities to interact with and support key executive-level decision makers.

Optimally, this person will have previous experience with generative AI, technology, digital infrastructure, cloud infrastructure, data centres or similar verticals.

Key Responsibilities:

• Identify and evaluate M&A and direct investment opportunities based on industry knowledge, market situation, and financial analysis

• Develop, maintain, and analyse complex financial models to support M&A transactions, strategic investments, and other strategic initiatives

• Assist in all phases of transaction execution, including due diligence, valuation, documentation, and integration planning

• Collaborate with internal stakeholders, including finance, legal, operations, and senior executives to ensure alignment and successful execution of deals

• Support Strategic Finance, Investor Relations, Treasury, and FP&A on cross-functional Ad Hoc finance projects

• Assist in the preparation of company management presentations that deliver CoreWeave's investment thesis and growth strategy to external stakeholders

• Conduct comprehensive due diligence on M&A and investment targets, including financial, and operational analysis

• Monitor industry trends, competitive landscape, and market dynamics to identify opportunities and threats

• Collaborate with CDO, CSO and CFO to assist with highly impactful, complex, and visible projects, including scaled, complex equity and debt fundraising initiatives

• Complete special strategic projects and ad hoc modelling for senior executives as needed, such as projects regarding international expansion and JV partnerships

Who You Are:

• A bachelor's degree in finance, accounting, applied mathematics, economics, engineering, or an equivalent combination of education and experience

• Minimum of 2+ year(s) of experience in investment banking, private equity, private credit or similar roles

• Advanced analytical skills with an ability to perform quantitative and qualitative analysis on new ideas and concepts

Preferred:

• Excellent financial modelling and valuation skills, with a demonstrated track record of executing complicated financial analyses

• Effective verbal and written communication skills, with a preference for candidates that have demonstrably interacted with management or other executive-level stakeholders

• High level of self-sufficiency with proven success at self-teaching and a high intellectual motor

• Strong analytical, quantitative, and problem-solving skills

• Exceptional attention to detail, organisational skills, and ability to manage multiple competing priorities simultaneously

• Advanced proficiency with Microsoft Office Suite, particularly Excel and PowerPoint

• Understanding of M&A processes for both public and private transactions, including deal sourcing/structuring, due diligence, and execution, with a proven track record of contributing to closed deals

• Experience with modelling debt transactions (e.g., leveraged buyout models and private/public credit) preferred

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

• You love digging into complex financial problems and solving them with precision.

• You're curious about how AI, cloud, and digital infrastructure are reshaping the global economy.

• You're an expert in financial modelling, valuation, and supporting high-impact transactions.

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

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

The base salary range for this role is $125,000 to $155,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits programme (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance

• 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Programme (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data centre locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, colour, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic

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As a Pricing Director, you will be responsible for developing and implementing a pricing strategy that balances value-based pricing principles with commercial signals. You will work closely with Product, Finance, Revenue Operations, and Product Marketing to ensure pricing decisions are well-informed, consistently applied, and commercially viable across the full GTM motion.

Key responsibilities include:

• Developing and maintaining a pricing framework across Komodo's product portfolio
• Establishing pricing governance, including a Pricing Committee, approval workflows, and discount management policies
• Building and maintaining a pricing intelligence function that continuously monitors competitive pricing, win/loss data, and customer willingness to pay
• Working with the Deal Desk to support large or complex deals by structuring pricing and packaging that maximizes value capture while protecting margins and setting healthy precedents
• Leveraging AI tools and advanced analytics to deliver pricing insights, report on results, and model scenarios

The ideal candidate will have 10+ years of experience in pricing strategy, revenue management, or monetization in B2B technology, with a clear track record of commercial impact. They will have specific experience with usage-based, consumption, or outcome-based pricing models, and a strong understanding of AI's role in pricing strategy and monetization.

In addition to technical expertise, the successful candidate will be an excellent communicator who can distill complex quantitative analyses into clear, confident recommendations for executive audiences. They will also be a strong cross-functional collaborator who can build trust and drive alignment across Product, Finance, Sales, and Marketing.

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This will give you the opportunity to have a meaningful impact with a diverse group of customers. You will uncover and optimise workflows and advanced use cases that power today's businesses. You will be driving all facets of success across the customer journey for Dropbox's most valued customers.

You will partner with the Account Manager team to support Dropbox business objectives, including driving customer retention and growth for Dropbox's expanding product portfolio. We are a collaborative, customer-oriented team, are 'worthy of trust' and strong advocates for our customers.

Responsibilities:

• Build and maintain strong relationships with customers as a trusted advisor throughout their journey with Dropbox
• Lead customer engagement efforts to drive deployment, product education, usage, adoption, and integration into daily workflows
• Drive increased product value realisation across the customer base and improved user advocacy
• Ensure customers achieve their desired outcomes through Mutual Success Plans and influence account growth in close partnership with Sales
• Proactively flag and collaborate with CX or Product teams to resolve customer issues efficiently
• Prepare and deliver Success Business Reviews, providing insights on adoption, planning, and product updates
• Maintain a deep understanding of Dropbox products and roadmap, promote new features, and serve as the voice of the customer internally
• Collaborate with internal teams such as marketing, product, and sales to ensure customer satisfaction, retention, and growth

Requirements:

• 5+ years of experience in B2B SaaS Customer Success, with a proven record of driving product deployment, increasing customer adoption, and improving retention
• Strong experience managing strategic customer relationships at large enterprises (2,000+ employees) with a collaborative and proactive approach
• Experience with e-signature API or other API products and integrations
• A technical aptitude with experience in communicating effectively at all levels
• Customer-oriented problem-solving and analytical mindset
• Possesses the ability to communicate with end-users, IT administrators, developers, and stakeholders at all levels
• A self-starter with demonstrated success navigating complex scenarios, leading cross-functional initiatives, and thriving in fast-paced, dynamic environments
• Positive, team-oriented mindset with the ability to contribute meaningfully to overall team culture
• Excellent collaboration skills and the ability to build strong, long-lasting relationships across teams and the organisation
• Bachelor's degree or equivalent experience required
• Flexibility to travel occasionally for global offsites and customer on-site meetings (generally less than 10% of the time)

Preferred Qualifications:

• Solid knowledge of generative AI and search infrastructure
• Experience with technical products like e-signature API, other API products or security products with strong experience with integrations for deployments
• Experience with integrations and AI tools
• Previous experience with CRM systems, paired with strong analytical and quantitative skills

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As a machine learning engineer on our team, you'll develop advanced ML solutions that directly impact Stripe's payment products and core business metrics.

About the team

The Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripe's payment products. We build deep learning models that tackle Stripe's most complex payment challenges - from fraud detection to authorization optimization - and deliver measurable business impact.

Responsibilities

• Design and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants, issuers, or customers
• Identify high-impact opportunities, and drive the long-term ML roadmap through well-scoped high-leverage initiatives
• Architect generalizable ML workflows to enable rapid scaling and optimized online performance
• Deploy ML models online and ensure operational stability
• Experiment with advanced ML solutions in the industry and ideate on product applications
• Explore cutting-edge ML techniques and evaluate their potential to solve business problems
• Work closely with ML infrastructure teams to shape new platform capabilities

Who you are

We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

Minimum requirements

• Minimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production
• Proficient in Python, Scala, and Spark
• Proficient in deep learning and LLM/foundation models

Preferred qualifications

• MS/PhD degree in quantitative field or ML/AI (e.g. computer science, math, physics, statistics)
• Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis
• Experience evaluating niche and upcoming ML solutions

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We're looking for a Data Scientist to join our team at Stripe, where you'll work closely with our Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams.

As a Data Scientist at Stripe, you'll play a crucial role in optimizing our systems and leveraging data to make strategic business decisions. You'll work with a variety of data science roles and teams across Stripe, and will be aligned to the most relevant team based on your background.

Responsibilities

• Work closely with a specific part of the business to optimize our systems and leverage data to make strategic business decisions
• Use techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics to ensure that the company strategy, products, and user interactions make smart use of our rich data
• Partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• PhD + 3 years, MS/MA + 6 years or BS/BA 8 years of data science/quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
• A builder's mindset with a willingness to question assumptions and conventional wisdom

Preferred qualifications

• Experience deploying models in production and adjusting model thresholds to improve performance
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
• Experience with distributed tools such as Spark, Hadoop, etc.
• A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

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As a member of the Funded Startup team, you'll incubate and launch new sales channels for prospective users. You'll develop scalable strategies and repeatable processes that enable us to amplify the number of new businesses joining Stripe.

If you're hungry, smart, persistent, and a great teammate, we want to hear from you!

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This role will actively participate in evolving and scaling our compensation programs and philosophy. You are a trusted subject-matter expert who independently leads complex, cross-functional projects, shapes best practices, and influences strategy and decisions across multiple functions.

Responsibilities:

• Translate complex data into clear, actionable narratives for senior leaders, HRBPs, and Talent partners.
• Design innovative and competitive compensation programs that align with and support the company's business strategy.
• Partner with stakeholders across various functions to plan, develop, implement, and administer compensation programs.

What we're looking for:

• 8–10+ years of progressive experience in compensation or closely related analytical roles, ideally in high-growth technology or similarly dynamic environments.
• Deep understanding of compensation principles and practices across base pay, bonus, and equity (including program design, job architecture, ranges, market benchmarking, and pay equity).
• Demonstrated strength in quantitative analysis and modeling, including advanced skills in Google Sheets/Excel (e.g., modeling, scenario analysis, data visualization).
• Experience partnering with HRBPs, Talent Acquisition, and Finance to support comp cycles, offers, promotions, and budgeting.
• Comfort navigating ambiguity and making thoughtful tradeoffs among market alignment, internal equity, performance, and budget.
• Familiarity with Greenhouse, Workday, Pave or Compa a plus

Attributes:

• Strategic thinker: Connects compensation decisions to Reddit's broader business strategy and long-term talent goals.
• Problem solver: Breaks down complex, ambiguous compensation problems into structured approaches and clear recommendations.
• Data-driven & detail-oriented: Balances high-level storytelling with precision in data, modeling, and documentation.
• Smart & adaptable: Learns quickly, iterates based on feedback, and adjusts approaches as Reddit grows and programs evolve.
• Trustworthy & service-minded: Builds strong, long-term relationships with stakeholders; is seen as a fair, balanced, and practical partner who protects both employee experience and company sustainability.
• Winning mindset: Pushes work forward despite ambiguity, constraints, or misalignment; finds paths to impact rather than getting stuck.

Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $180,200-$252,300 USD

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Location: Remote - US

At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day.

As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding.

Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Join the team as Twilio's next Strategic Account Executive 4!

About the Job

This position is needed to lead relationships with our growth and mid-market Communications platform customers who consume our messaging, voice and email services.

You will be directly responsible for protecting and growing Twilio's communications business across your assigned customers.

As an Associate Strategic Account Executive, you will drive highly analytical and consultative sales cycles with customers that are running large scale, global, competitively sourced, compliance-heavy, use case-specific businesses.

This role is highly cross functional, and your success will depend on building deep partnerships across product management, finance, support, and operations.

Responsibilities

In this role, you'll:

Manage and expand some of our most important Regulated Verticals customer accounts.

Develop, drive, and execute account strategy to consistently deliver strong revenue, gross margin, and gross profit results.

Partner closely with other Twilio teams to identify new revenue opportunities within your Regulated Verticals account portfolio.

Serve on a cross-functional account team with representatives from product, finance, support, and services teams.

Run a disciplined forecast, consistently achieve goals, and present guidance to executive management.

Run highly consultative sales cycles with our largest customers with a focus on deep discovery, listening to customer needs and being an effective champion for their point of view in the organization.

Generates and maintains an accurate sales pipeline and forecast utilizing our CRM, Salesforce

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

We are always looking for people who will bring something new to the table!

*Required:

Possess a total of 5 years of sales experience, with a minimum of 1 year dedicated to major account or strategic sales.

Demonstrate expertise in managing or leading quantitative, highly analytical products and solutions for customers.

Accountable for relationship management, cross sells, upsells and solutions consulting.

Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships.

Analytical account development strategy based on using data to find opportunities and prove value.

Demonstrated track record of managing business forecasts and financial models.

Entrepreneurial mindset with appetite to define process and build programs.

Record of delivering revenue and gross profit results, especially for large-scale and enterprise customers.

Excellent verbal and written communication skills.

Bachelor’s Degree or equivalent years of experience.

Desired:

Deep experience working with telecom companies, including CPAAS, SMS aggregators, carriers, or global communications platforms.

Domain expertise from a highly quantitative industry such as DevOps, Fintech, advertising optimization, investment banking, security or commodity trading especially in non-standard segments.

Software, SaaS, CPaas or PaaS selling experience

Location

This role will be remote, but is not eligible to be hired in CA, CT, IL, MA, MD, NJ, NY, OR, PA, RI, TX, VA, WA, or Washington DC.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other.

For this role, approximately 30% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

Offerings vary by location.

Compensation

*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State.

The information below is provided for candidates hired in those locations only.

The estimated pay ranges for this role are as follows:

Based in Colorado, Hawaii, Minnesota or Vermont: $132,192.00 - $165,240.00.

Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $139,536.00 - $174,420.00.

Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $146,880.00 - $183,600.00.

This role may be eligible to participate in Twilio’s equity plan.

All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

This role is eligible to earn commissions.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Applications for this role are intended to be accepted until April 16, 2026, but may change based on business needs.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things.

That's why we seek out colleagues who embody our values , something we call Twilio Magic.

Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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As a Commercial Existing Business Account Executive at Stripe, you will play an instrumental role in fueling Stripe's growth and expanding revenue from Stripe's existing mid-market customers.

Responsibilities

• Generate upsell opportunities to drive revenue growth in your territory (100 accounts)
• Develop and implement sales strategies to grow revenue per user, adopt new products and ensure retention
• Identify and understand users' pain points to propose Stripe solutions and own the full sales cycle, from business case development to close
• Own contract renewals and lead commercial negotiations to increase and retain existing customer revenue and increase Stripe share of wallet
• Work cross-functionally to solve user pain points and improve Stripe's product

Requirements

• Minimum of 5+ years full sales cycle/closing experience with existing business accounts
• Ability to understand technical requirements and craft solutions across multiple technology products
• Ability to perform quantitative analysis and independently manage pricing negotiations
• Strong operational acumen and ability to manage and prioritize a book of 100 accounts
• Ability and motivation to operate in a highly ambiguous and fast-paced environment
• Superior verbal and written communication skills

Preferred Qualifications

• Prior experience in a sales and/or customer-facing role at a high growth payments company

Work Arrangement

• You will be required to work from the Chicago office three (3) days per week

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a Sales Finance Business Partnering Manager, you will act as the mini-CFO for the sales divisions that you will support. You will drive goal-setting, revenue insights, forecasting and performance management. You will partner with sales leaders on ideas to improve their P&L. This includes identifying underlying trends and consulting on strategic business decisions.

Your role is to translate complex data into actionable insights, which means you can focus on the details and also solve big-picture challenges.

The Sales Finance team’s mandate is to optimize value creation for pinners, advertisers and Pinterest through disciplined business leadership and seamless financial execution. We do this by developing financial forecasts, providing decision support through analysis, generating internal reports, monitoring key performance indicators and scaling financial processes.

We are looking for an expert in finance and strategy who uses an analytical, collaborative, results-oriented approach to drive progress.

Responsibilities

• Drive goal-setting, forecasting, revenue insights and performance management for key sales divisions.

• Partner with the Sales and Sales Strategy & Operations teams on developing insights and trend analysis of revenue drivers.

• Leverage AI and technical expertise to execute quantitative modeling and analysis.

• Provide weekly and quarterly reporting and insights for a senior Executive Team audience.

What we’re looking for

• Bachelor’s degree in a relevant field such as economics, business, engineering or 5+ years of experience in sales finance, investment banking, consulting or a related quantitative field.

• Well experienced with providing strategic advice to senior sales leaders.

• Exceptional spreadsheet skills with experience creating financial models and dashboards.

• Basic SQL experience is preferred but not required.

• Experience using AI (including prompting and building agents) to optimize repetitive processes and make time for strategic thought partnership with Sales and Product.

• Excellent communication and presentation skills (Google Slides).

• Ability to multi-task and deliver against timelines.

• Entrepreneurial, flexible, and collaborative.

In-Office Requirement Statement

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

• This role will need to be in the office for in-person collaboration 1: time per week and therefore needs to be in a commutable distance from one of the following offices: Chicago, NYC, San Francisco.

Relocation Statement

• This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

#LI-HYBRID #LI-PW1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only $98,561-$202,918 USD

Our Commitment to Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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As an Engineering Manager, you will be responsible for leading a team of engineers to develop high-performance services and seamless user experiences. You will work closely with stakeholders across the organization to understand their use-cases and unlock new capabilities.

Your responsibilities will include:

• Enabling the team to work with a wide range of systems, processes, and technologies to own and solve problems from end-to-end.
• Supporting the engineering team in building experiences for businesses that range from high growth startups to leading global companies.
• Collaborating with stakeholders across the organization, including product, design, infrastructure, marketing, and operations.
• Leading and managing processes to help the team do its best work and engage effectively with the rest of Stripe.
• Recruiting great engineers, in collaboration with Stripe's recruiting team.
• Developing engineers on the team, helping them advance in their careers.
• Contributing to engineering-wide initiatives as a member of Stripe's engineering management team.

We're looking for someone with at least 5 years of experience managing teams that shipped high-quality products. You should have an entrepreneurial mindset, successfully recruited and built great teams, and worked effectively cross-functionally. You should also have technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions.

If you meet these requirements, you are encouraged to apply.

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As a Sr. Compensation Partner, you will drive Anduril's success by bringing your compensation expertise to our leadership team and helping us scale. You will utilize and combine your prior high growth company experience, quantitative rigor, business mindset, and communication skills to serve as a strategic advisor to our People Business Partners.

Key responsibilities include:

• Partner with Senior Leaders and People Business Partners to drive and ensure the success of Anduril's compensation programs for Manufacturing including Production, Supply Chain, and Engineering teams at Arsenal-1.
• Guide People Business Partners and leadership teams throughout annual and mid-year compensation planning cycles specific to our Arsenal-1 population.
• Design, implement, and manage comprehensive compensation programs, including salary structures, incentive plans, and equity compensation, aligned with organisational strategy and market trends.
• Lead job evaluation processes, conduct market pricing analyses, and ensure internal equity and external competitiveness across all job families and levels.
• Partner closely with leadership and HR teams to resolve complex compensation issues, support strategic decision-making, and drive the implementation of compensation initiatives across the organisation.

In addition to these responsibilities, you will also work closely with our People Operations team during our annual & midyear compensation cycles including implementation, budgets, UAT testing and spearhead data integrity.

You will lead change management and communications of compensation practices with managers, team members, and across the People Team.

You will build strong partnerships with the Production/Manufacturing Division Leads, People Business Partner, Talent, Payroll, Legal, Stock, Finance and Accounting teams as well as our 3rd party vendors.

You will work closely with and interrogate compensation data, to form data driven guidance to People Business Partners and Leaders.

You're a proactive motivated problem solver; offering to fill skill gaps and offer solutions; we'd rather tell you slow down than accelerate.

You enjoy working at a place where no one minds if you leave early one day to go to an appointment or run an errand, but you also don’t mind responding to Slacks in the evening while you’re watching Netflix.

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As a measurement lead, you will be a key partner to our sales team, fusing best practices, industry knowledge, and critical thinking to help clients achieve their brand and performance goals on Reddit. Your primary responsibilities will evolve over time, and there is a significant opportunity to drive impact within Reddit and support your own career growth.

Responsibilities:

• Daily responsibilities will span across advertising measurement, performance optimizations, vendor development, advertising strategy, teaching and supporting our sales team, and research.

• Measurement knowledge including attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion and mobile tracking, 1st and 3rd party insights storytelling, and custom research.

• Collaborate closely with Client Account Managers to gain a deep understanding of clients' campaign setups, measurement stack and performance goals, as well as collaborate closely with Product & PMM.

• Translate global best practices into EMEA context, creating playbooks and best practices for EMEA specific campaigns.

• Translate data insights into actionable recommendations with clear justifications and expected outcomes, maintaining regular communication of vertical updates and optimization suggestions to our team.

• Leverage measurement results to drive sales impact - developing benchmarks, case studies, media & creative best practices, and refinement/optimization to our audience and targeting strategy to improve efficiency and effectiveness.

• Partner with Sales, Marketing, and Brand Strategy to develop compelling storylines that highlight opportunities for Reddit advertisers and our competitive advantage.

• Join key client meetings as a subject matter expert to provide technical guidance and objection handling.

• Develop and support our go-to-market teams in EMEA with your measurement expertise, industry knowledge, and insights specific to market nuances.

• Support the execution of innovative primary research that amplifies our narrative and value proposition to advertisers, and the development of insights products that position Reddit as a curator of business-critical learnings to advertisers.

Required Qualifications:

• A data-driven storyteller that’s passionate about measurement to inspire and drive action.

• 5+ years in ad research or ad tech – at a research vendor, media owner, client or agency partner.

• You are familiar with the ad measurement landscape and the primary vendors, products, and services that advertisers use to measure performance & brand - and how it all works from a technical perspective.

• A knowledge of experimentation and familiarity with the underlying statistical methods.

• Expertise in these three areas of measurement across verticals:

• Reach: impressions, viewability, on-target percentage, brand safety, etc.

• Resonance: brand awareness, consideration, intent, etc.

• Reaction: attribution, conversion, sales lift, tune-in, foot traffic, etc.

• Experience optimizing toward DR focused KPIs, as well as knowledge of holistic media planning to support brand awareness and performance campaigns in tandem.

• Experienced in executing incrementality testing, developing test+learn agendas and working with engineering + product teams on advanced measurement cases.

• You have a strong background in the execution, analysis, and presentation of quantitative advertising research.

• Proven ability to weave primary research, 1st party platform data, and 3rd party/syndicated research together into a cohesive and compelling story of strategic importance.

• Experience working with measurement vendors to bring new services and capabilities to life at a technology company.

• Exceptional written and oral communication skills – you’re articulate and engaging.

• Motivated self-starter who thrives in unstructured environments on an evolving team.

• BA/BS degree

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Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer-term vision
• Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
• 4+ years of management experience. Experience managing managers is a bonus
• Strong skills in programming (Python or R) and SQL
• Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving
• Deep understanding of Ads Marketplace
• Extensive experience of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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

As a member of the growing team of product managers, your responsibilities include:

• Own the product vision for your area. Ensure that it aligns with the overall product and company vision.

• Be an expert on the domain, the market, the trends. Evangelize the vision constantly so all stakeholders are aligned, have context and understand where we are going.

• Represent the customer. Be the champion and voice of customers. Build intimate, personal customer relationships. Bring the customer's voice into the creation process.

• Manage the roadmap. Make tough tactical prioritization decisions while helping the company think long-term. Build trust with stakeholders by maintaining an understandable, accurate roadmap.

• Author use cases and prioritize requirements. Translate market observations and customer feedback into a prioritized product backlog. Author use cases based on specific real-world product applications and extrapolate detailed product requirements for the scenarios.

• Collaborate across teams. We win or lose as a team. Product managers play a critical role in creating alignment between engineering teams and stakeholders. A collaborative attitude is essential to the job.

• Measure success. Own the measures used to define success for your product. Success measures must be defined at the inception of a product and tracked throughout its lifecycle. Make measures visible to all stakeholders and interpret them into actionable conclusions and new hypotheses.

• Develop new opportunities. With your finger on the pulse of the market, the customers and the engineering teams, you are uniquely positioned to discover and develop new opportunities.

Desirable Skills, Knowledge, and Experience: The ideal candidate is entrepreneurial-minded and thrives in a fast-paced and goal-driven environment. You have outstanding communication and collaboration skills and are able to work with a diverse group, get consensus, and drive the product forward. You are execution focused and emphasize getting things done while paying attention to important details.

• BS/MS in a technology- or business-related field

• Experience in building, configuring or using Load Balancing products, specifically with a focus with both public and private traffic load balancing.

• 5+ years of product management or equivalent experience with demonstrated ability to discover opportunities, and then define and deliver products

• Exceptional communication, presentation, organizational and analytical skills

• Demonstrated ability to lead, drive consensus and deliver in a matrix organization with multiple stakeholders

• Must be able to define and manage complex process and/or product issues of a broad scope using independent judgment

• Experience balancing execution, agility, and culture at a fast growing business.

• Strong technical abilities. You are intimately familiar with modern software development practices used to build and deploy applications. You've preferably been working full time on a software delivery team.

• Strong customer and stakeholder empathy. You must be not only the voice of the customer, but at various times the voice of marketing, finance, engineering, support and ops. You must be able to channel many points of view.

• Working knowledge of how the internet works at layers 3 through 7.

Bonus Points:

• A solid understanding of RESTful API design & documentation.

• Ability to validate early ideas through quantitative and qualitative methods (A/B and multivariate testing, user testing, etc).

Experience in user experience (UX) design a plus.

• Hands-on experience with command-line tools used for interacting with APIs, debugging and testing (e.g. curl, dig, etc.)

• Scripting/programming experience (Python, Go, etc.) and/or experience with web frameworks

• Domain expertise (e.g. as a practitioner or technology provider) in several of: HTTP content delivery, network performance, browser technologies and Internet security.

• Pricing strategy and revenue forecasting experience.

Compensation:

• For Bay Area based hires: Estimated annual salary of $179,000 - $246,000

• For New York City, Washington, Washington D.C. and California (excluding Bay Area) based hires: Estimated annual salary of $172,000 - $237,000

• For Colorado based hires: Estimated annual salary of $156,000 - $215,000

Equity:

This role is eligible to participate in Cloudflare’s equity plan.

Benefits:

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

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At Cloudflare, we're on a mission to help build a better Internet. We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code.

As a Senior Territory Account Executive, you will work in the mid-market segment, focusing on both the acquisition of new Territory accounts and the expansion of existing customer accounts. You will develop and execute a comprehensive account/territory plan to achieve quarterly sales and annual revenue targets in a defined territory and/or account list.

Key Responsibilities

• Develop and execute a comprehensive account/territory plan to achieve quarterly sales and annual revenue targets in a defined territory and/or account list.
• Drive new business acquisition (new customer logos), customer expansion (upsell and cross sell Cloudflare solutions), and renewal within your territory.
• Engage in account mapping sessions with partners, including training new partners on our technology and GTM strategies.
• Developing scalable relationships with target partners, to expand partner ecosystem in a specific region.
• Build a robust sales pipeline through continual engagement and nurturing of key prospect accounts.
• Understand customer use-cases and how they pair with Cloudflare's portfolio solutions in order to identify new sales opportunities.
• Craft and communicate compelling value propositions for Cloudflare services. Drive awareness through regular outbound campaigns on product and feature roadmap updates.
• Accurately forecast commercial outcomes by running a consistent sales process, including driving next step expectations and contract negotiations.
• As a trusted advisor, build long-term strategic relationships with key accounts, to ensure customer adoption, retention and expansion. Regularly evaluate usage trends and articulate value to show Cloudflare impact and provide strategic recommendations during business reviews.
• Network across different business units with each of your accounts, and multi-thread to identify and engage new divisional buyers.
• Position Cloudflare's platform in each of your target customers, including Cloudflare One and the Connectivity Cloud to realize our full potential in every customer.
• Operate internally as a liaison with cross-functional teams to share key customer feedback and insights to improve customer experience and further investments with Cloudflare.

Requirements

• 3+ years of direct B2B selling experience
• Strong interpersonal communication (verbal and written) and organizational skills
• Self-motivated; entrepreneurial spirit
• Comfortable working in a fast-paced dynamic environment
• Bachelor's degree required
• Demonstrated analytical and quantitative abilities
• Software and system skills are a must (SFDC, Tableau, G-suite, MSFT suite)

Desirable Skills, Knowledge and Experience

• 5+ years in Software/SaaS/Security Sales & Channel management.
• Existing relationships and/or strong familiarity of the partner ecosystem in the region that they cover.
• Understanding of cloud infrastructure ecosystem and cloud security is highly preferred.
• Experience working in a start-up environment.
• Ability to travel up to 25% of the time.
• Technical competence strongly preferred.

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Key responsibilities include:

• Leading, developing, and scaling a high-performing sales pod
• Owning pod strategy, forecasting, and revenue accountability
• Elevating strategic client and agency partnerships
• Driving cross-functional execution and product adoption
• Building global coordination and operating rhythms

To succeed in this role, you will need:

• 10+ years of experience in digital media, ad-tech, or social platforms, including 5+ years in quota-carrying enterprise sales roles serving large, complex advertisers and agencies
• 2+ years of people management experience or substantial track record as a team lead
• Proven history of exceeding revenue targets and growing multi-million-dollar books of business within high-consideration, omnichannel categories
• Demonstrated ability to run executive-level client and agency meetings, including with VP/C-suite stakeholders
• Strong strategic and quantitative skills, with excellent communication and executive presence

Benefits include global benefit programs, family planning support, gender-affirming care, mental health & coaching benefits, group personal pension scheme with employer match, and private medical insurance.

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At Cloudflare, we're on a mission to help build a better Internet. We're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with.

Location: Sydney / Melbourne

About the Department

Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.

About this Role

Digital Native AEs at Cloudflare sell into the most innovative companies in ANZ. In targeting high-growth, technologically advanced, and venture-backed companies, AEs are positioned to drive in-depth product discussions while communicating and demonstrating value quickly to customers. This is a hunting role within the digital native segment focusing on the acquisition of prospective Digital Native accounts and often selling to founder level.

Key Responsibilities

• Develop and execute a comprehensive account/territory plan to achieve quarterly sales and annual revenue targets in a defined territory and/or account list.
• Drive new business acquisition (new customer logos) within your territory.
• Build a robust sales pipeline through continual engagement and nurturing of key prospect accounts.
• Understand customer use-cases and how they pair with Cloudflare's portfolio solutions in order to identify new sales opportunities.
• Craft and communicate compelling value propositions for Cloudflare services. Drive awareness through regular outbound campaigns on product and feature roadmap updates.
• Accurately forecast commercial outcomes by running a consistent sales process, including driving next step expectations and contract negotiations.
• As a trusted advisor, build long-term strategic relationships with key accounts, to ensure customer adoption, retention and expansion. Regularly evaluate usage trends and articulate value to show Cloudflare impact and provide strategic recommendations during business reviews.
• Network across different business units with each of your accounts, and multi-thread to identify and engage new divisional buyers.
• Position Cloudflare's platform in each of your target customers, including Cloudflare One and the Connectivity Cloud to realize our full potential in every customer.
• Operate internally as a liaison with cross-functional teams to share key customer feedback and insights to improve customer experience and further investments with Cloudflare.

Requirements:

• 8-12 years closing experience selling B2B SaaS (technical product preferred)
• Skilled in out-bounding to key stakeholders within fast-paced organizations & mapping Cloudflare innovations to business objectives
• Working or tangential knowledge of the cloud infrastructure and/or security space
• Track record of exceeding annual targets and track record of growth within current organization
• Strong interpersonal communication (verbal and written) and organizational skills
• Self-motivated; entrepreneurial spirit
• Comfortable working in a fast paced dynamic environment
• Demonstrated analytical and quantitative abilities
• Software and system skills are a must (SFDC, Tableau, G-suite, MSFT suite)

Examples of desirable skills, knowledge and experience:

• Understanding of cloud infrastructure ecosystem and cloud security is highly preferred.
• Experience working in a start-up environment.
• Technical competence strongly preferred.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job

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Responsibilities:

• Own the full sales cycle from lead to close for startups
• Identify high-potential prospective users from inbound leads
• Lead and contribute to team projects to develop and refine our sales process, including engaging with Accelerators and VC firms
• Engage with Product, Marketing and User Operations teams to help amplify our growth trajectory

Who you are:

You're a motivated, users-first driven individual, capable of engaging in business-level and technical conversations at multiple levels of the organization. You have experience working with startups or small/medium businesses, or are currently in a client-facing role. You have an understanding of the buyer journey and can lead short, single stakeholder deals as well as complex multi-party sales in a highly consultative manner. You are used to building value in competitive situations and enjoy working on products that require deep understanding, combined with technical knowledge.

Minimum requirements:

• 4+ years of sales or client-facing experience, preferably at a high-growth SaaS company, bank, consultancy or venture capital firm, with a track record of top performance
• Ability to understand the Stripe API and build great relationships with highly technical founders
• Ability to understand complex requirements and craft custom solutions
• Strong analytical and quantitative capabilities including comfort with basic modeling
• Superior verbal and written communication skills
• Ability to operate in a highly ambiguous and fast-paced environment
• Strong interest in technology

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This position is needed to lead relationships with our largest current Communications platform customers who consume our messaging, voice and email services. You will be directly responsible for protecting and growing Twilio's communications business across your assigned customers, specifically in NEA.

As a Strategic Account Executive, you will drive highly analytical and consultative sales cycles with customers that are running large scale, global, competitively sourced, compliance-heavy, use case-specific businesses.

Responsibilities:

• Manage and expand some of our most important customer accounts, including high growth technology, logistics, and fintech companies.

• Develop, drive, and execute account strategy to consistently deliver strong revenue, gross margin, and gross profit results.

• Partner closely with other Twilio teams to identify new revenue opportunities within your account portfolio.

• Serve on a cross-functional account team with representatives from product, finance, support, and services teams.

• Run a disciplined forecast, consistently achieve goals, and present guidance to executive management.

• Run highly consultative sales cycles with our largest customers with a focus on deep discovery, listening to customer needs and being an effective champion for their point of view in the organization

Qualifications:

• More than 12+ years of combined experience in major account or strategic sales, managing or leading quantitative, highly analytical products and solutions for customers.

• Accountable for relationship management, cross sells, upsells and solutions consulting.

• Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships.

• Analytical account development strategy based on using data to find opportunities and prove value.

• Demonstrated track record of managing business forecasts and financial models.

• Entrepreneurial mindset with appetite to define processes and build programs.

• Proven track record of developing, growing and delivering revenue & gross profit results, especially for large-scale and enterprise customers in Asia.

• Excellent verbal and written communication skills.

• Bachelor’s Degree or equivalent years of experience.

Desired:

• Cross selling experience to Marketing, Engineering and Product.

• Telco, CPaas or PaaS selling experience.

Travel:

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 30% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

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About the job This position is needed to lead relationships with our growth and mid-market Communications platform customers who consume our messaging, voice and email services. You will be directly responsible for protecting and growing Twilio’s communications business across your assigned customers.

Responsibilities In this role, you’ll:

• Manage and expand revenue across your book of Strategic Accounts
• Develop, drive, and execute account strategy to consistently deliver strong revenue, gross margin, and gross profit results.
• Partner closely with other Twilio teams to identify new revenue opportunities within your account portfolio.
• Serve on a cross-functional account team with representatives from product, finance, support, and services teams.
• Run a disciplined forecast, consistently achieve goals, and present guidance to executive management.
• Run highly consultative sales cycles with our largest customers with a focus on deep discovery, listening to customer needs and being an effective champion for their point of view in the organization.

Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

*Required:

• Possess a total of 5 years of sales experience, with a minimum of 1 year dedicated to major account or strategic sales.
• Demonstrate expertise in managing or leading quantitative, highly analytical products and solutions for customers.
• Accountable for relationship management, cross sells, upsells and solutions consulting.
• Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships.
• Analytical account development strategy based on using data to find opportunities and prove value.
• Demonstrated track record of managing business forecasts and financial models.
• Entrepreneurial mindset with appetite to define process and build programs.
• Record of delivering revenue and gross profit results, especially for large-scale and enterprise customers.
• Excellent verbal and written communication skills.
• Bachelor’s Degree or equivalent years of experience.

Desired:

• Deep experience working with telecom companies, including CPAAS, SMS aggregators, carriers, or global communications platforms.
• Domain expertise from a highly quantitative industry such as DevOps, Fintech, advertising optimization, investment banking, security or commodity trading especially in non-standard segments.
• Software, SaaS, CPaas or PaaS selling experience.

Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 30% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Minnesota or Vermont : $103,376.00 - $129,220.00.
• Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $109,120.00 - $136,400.00.
• Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $114,864.00 - $143,580.00.
• This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
• This role is eligible to earn commissions. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Applications for this role are intended to be accepted until May 30, 2026, but may change based on business needs.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

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A typical day will involve account management, where you will build and manage partner relationships within assigned territory consisting of several hundred Professional Host accounts. You will directly manage top-tier accounts to meet and exceed quarterly/annual sales goals, create and deploy scaled strategies to effectively manage and optimize the long tail of thousands of Professional Hosts in your region, and maintain a baseline understanding of the technical integration of various software partners to provide the appropriate support to your accounts.

You will educate clients on all significant product changes and cascade feedback on product and policy to the relevant internal stakeholders. You will hold regular optimization calls and business reviews with your partners, develop strong and long-lasting partnerships, respond to and deliver exceptional service to your accounts in a timely and efficient manner, occasionally traveling to your market to provide in-person support and guidance.

You will partner cross-functionally to address optimization bottlenecks, leverage AI extensively to achieve maximum speed and high quality in delivery, and analyze data and utilize data-driven recommendations to identify and action on strategic opportunities in your region to increase sales.

You will audit supply quality in the field, addressing areas for improvement, develop deep knowledge of your assigned geographic markets and become the go-to source for all information relating to local trends and market dynamics for internal and external partners.

In addition, you will work cross-functionally with product, communications, public policy, and customer support teams to ensure our long-term market success, collaborate with local office to advocate for Experiences Demand, and represent Airbnb in external meetings with Professional Hosts and at industry conferences in your market.

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As a Senior Manager, you will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. You will promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.

Key responsibilities include:

• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearhead analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.
• Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.

Requirements include:

• 10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.
• 5+ years of management experience hiring and developing teams.
• Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment.
• Knowledge of statistics and rigorous analytical techniques.
• Experience with data visualisation tools, knowledge of data engineering, data modelling, and big data technologies.
• Leadership skills and experience to lead across functional and organisational lines.
• Strong communication skills to explain and evangelise analytics and data science to executives and the senior management team.
• Bias to action and passion for delivering high-quality data solutions.
• A passion for problem-solving and comfort with ambiguity.
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $228,600-$314,250 USD

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In this role, you will drive the entire sales process from prospecting to deal closure, including launch. You will run highly consultative sales cycles with a focus on deep discovery, understanding the customer's business, listening to their needs, and being an effective champion for their point of view in the organization.

You will understand the customer's technical requirements and map them to the capabilities of Twilio's communications API platform so that together you can design a solution for their specific use case needs. You will effectively communicate with all levels of the customer organization, including developers, managers, and executives.

Our customers are often software engineers, application owners, product managers, line of business executives, VP's of innovation, omni-channel and digital strategy stakeholders.

You will serve on a cross-functional account team with representatives from product, finance, partners, support, and services teams. You will run a disciplined forecast, consistently achieve goals, and present guidance to executive management.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

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We're looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

Responsibilities

• Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.
• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.
• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.
• Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.
• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.

Requirements

• Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.
• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).
• Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.
• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.
• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.
• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.
• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Nice to Have

• SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.
• Background on a cloud provider's networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.
• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.
• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.
• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.
• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.
• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative Projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it
• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic
• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity
• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability

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Location: Canada

Department: Business Operations/Analysis

Job Description:

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.

Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The community that awaits you:

Each day, Airbnb hosts offer unique stays and experiences that allow travelers to weave connections with communities in a more authentic way.

Since Airbnb's inception, over 5 million hosts have welcomed over 1.5 billion visitors in nearly every country around the world.

The organization's commercial leadership plays a central role in the company's growth and expansion efforts worldwide.

Our colleagues work to commercialize new and existing Airbnb businesses, enabling Airbnb to become more than just a hosting platform.

This includes recruiting and developing Airbnb's global offerings of stays, experiences, and services, as well as implementing Airbnb's global strategy in the market.

By focusing on commercial strategy, quality procurement, and international expansion, the team opens the door to continuous growth and success for Airbnb in its next chapter.

The regional operations team, part of the commercial operations division in Canada, ensures that Airbnb's activities are relevant at the local level and meet the needs of hosts and travelers worldwide by helping regions plan and implement growth strategies in areas such as supply, demand, and other sectors in a way that connects with the community.

To support the development of our activities, we want to recruit the best and brightest talents to make strategic business decisions.

To this end, the team is looking for a commercial operations manager to join our commercial operations team in Canada.

Your Contribution:

You will work closely with leaders and cross-functional teams and play a key role in developing our growth-focused programs and optimizingосредYour Contribution:

You will work closely with leaders and cross-functional teams and play a key role in developing our growth-focused programs and optimizing the community.

The successful candidate will report to the National Director in Canada.

Typical Day:

Align all functions to achieve objectives set with the Canadian leadership.

Organize regular commercial operations meetings and initiate constructive conversations, as well as organize weekly project meetings with cross-functional teams (field and online operations, marketing, products, legal services) to ensure that key initiatives are on track in Canada.

Study macroeconomic and microeconomic trends and present analysis, reports, and action plans to the Canadian national and regional Airbnb management team to enable them to make strategic business decisions.

Support the National Director in Canada and other senior leaders on key strategic projects, as well as lead and implement ad-hoc operational and strategic projects for Canada.

May need to coordinate activities with national, regional, and local teams in San Francisco.

Be responsible for designing, executing, and evaluating end-to-end cross-functional initiatives.

In concrete terms, this involves defining a precise problem statement, articulating the ideal solution to that problem, and identifying the main dependencies that hinder the solution, then working with cross-functional stakeholders to implement it.

These initiatives will cover areas such as demand, supply, and regulatory aspects of the business.

Your Expertise:

The ideal candidate has at least ten years of professional experience, preferably with a combination of exposure to data modeling, analysis, and project management in a dynamic entrepreneurial environment.

Excellent communication skills, both written and verbal, combined with the ability to deliver concise, clear, and compelling presentations at all levels of administration.

Proven experience in influencing and mobilizing various cross-functional stakeholders towards a common mission or objective using qualitative and quantitative information.

Ability to dive into details to drive execution, as well as take a step back to contextualize recommendations and initiatives within the company's overall global strategy.

Ability to perform multiple tasks by prioritizing work and coordinating necessary support between various functions to achieve project goals.

Impeccable organizational skills, great attention to detail, and the ability to document processes and decisions made.

Experience in implementing and developing initiatives within dispersed teams.

Experience working cross-functionally with multiple departments.

Practical approach to moving things forward quickly.

Ability to manipulate large datasets in Excel is essential. SQL mastery is highly preferred.

Your Location:

This position is located in Canada (telecommuting possible).

The position may involve working occasionally in an Airbnb office or participating in events outside the office (as agreed with your manager).

Telecommuting is possible, but you must live in an area where there is a registered Airbnb Canada Inc. entity, which is British Columbia, Alberta, Ontario, and Quebec.

Please contact us if you live in a province or territory that is not part of this list.

If you already work for another Airbnb entity, your recruiter will inform you in which provinces and territories you can work.

Our commitment to inclusion and belonging:

Airbnb is committed to working with people from the most diverse backgrounds possible.

We believe that diversity of ideas encourages innovation and engagement.

This approach helps us attract creative talent and develop the best products and services, as well as the best possible solutions.

We encourage anyone qualified to apply.

We also strive to provide an inclusive hiring and interview process for people with disabilities.

If you have a disability and need reasonable accommodations to submit your application, please contact us at reasonableaccommodations@airbnb.com.

Please indicate your full name, the position you are applying for, and the accommodations you need to help you through the recruitment process.

We ask that you only contact us about accommodations, not about the status of your application.

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Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator , someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage.

As a Principal Data Scientist, you will:

• Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors , ensuring data science insights directly inform the company's most critical decisions.
• Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems.
• Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story.
• Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning , the kind of synthesized, judgment-rich insight that AI cannot autonomously create.
• Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.
• Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent.
• Define and evolve company-wide scientific methodologies , experimentation frameworks, forecasting systems, causal inference approaches , to match and push industry state-of-the-art.

To be successful in this role, you will need:

• 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.
• Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making.
• Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning.
• Exceptional written and verbal communication , the ability to make complex statistical concepts intuitive and compelling for non-technical executives.
• Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality.
• Experience at the intersection of statistics and large-scale technology or data platforms.
• Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.

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Job Description:

We are seeking a highly motivated and experienced Market Manager to join our team in Japan. As a Market Manager, you will be responsible for leading our expansion into the hotel sector in the region. You will work closely with our team to develop and implement strategies to grow and expand our supply in Japan.

Responsibilities:

• Manage Hotels and acquire high-quality inventory
• Develop acquisition strategies and generate and convert Hotel leads
• Manage relationships with strategic partners, including the creation of new partnerships
• Develop and refine scalable, localized supply management strategies for both established, competitive markets and emerging, untapped markets
• Build, manage and expand partner relationships within your territory, aiming to surpass quarterly sales targets with Hotels
• Conduct regular optimization calls and business reviews with partners to develop strong, enduring partnerships providing exceptional, timely service to hosts, including in-person support as needed
• Implement strategies to effectively manage and optimize the long tail of thousands of Hotels in your region
• Prospect and onboard new, high-quality supply within your assigned geography
• Educate clients on all significant product updates and cascade feedback on product and public policy to the relevant internal stakeholders
• Leverage data to identify and pursue strategic growth opportunities, demonstrating an ability to navigate operational complexities and efficiently allocate resources
• Use an entrepreneurial approach to develop and implement unique engagement projects, fostering innovation within your territory
• Work cross-functionally with teams such as product, communications, public policy, legal, tax and customer support to ensure Airbnb's long-term market success
• Acquire comprehensive knowledge of local market trends to inform both internal and external stakeholders
• Understand the technical aspects of software partnerships to offer comprehensive support, ensuring a seamless experience for hosts and guests
• Represent Airbnb in external meetings with Hotels and at industry conferences in your market, solidifying the brand's presence and commitment

Requirements:

• 8+ years of experience in new sales, account management, and partner support
• 2+ years of tech/travel industry experience is a plus
• Proven track record of being able to effectively work a leads pipeline and a book of business
• Proficient quantitative skills and proven ability to interpret and apply data throughout your day-to-day work
• The ability to work at both strategic and tactical levels, with a proven track record to execute in ambiguous environments
• Proven experience working cross-functionally, ensuring the ability to collaborate effectively with various teams to drive collective success
• Excellent communication and presentation skills and the ability to communicate effectively with clients via phone, email, and in-person
• Charismatic self-starter who is resourceful and self-sufficient, paired with strong time management and prioritization skills
• Highly proficient in using CRM software, specifically in working with leads, opportunities, and other core objects
• Ability to speak fluently in Japanese is required
• Fluency in English is a big plus
• Based in Tokyo and must be willing to regularly travel to your assigned territory, such as Osaka and Kyoto
• Passion for Airbnb, travel, and the sharing economy
• Being an Airbnb host is a plus

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

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A typical day in this role will involve building and managing professional host account relationships within the UAE/Northern Africa, directly managing accounts to meet and exceed quarterly/annual sales goals, analyzing data and utilizing data-driven recommendations to identify and action on strategic opportunities in your region to drive increase in sales, prospecting and onboarding new, high-quality supply in your assigned geography, and maintaining a baseline understanding of the technical integration of various software partners so that you can provide the right support to your clients.

You will also represent Airbnb in external meetings with professional hosts, educate clients on all significant product changes and cascade feedback on product and policy to the relevant internal stakeholders, hold regular optimization calls and business reviews with your clients, develop strong and long-lasting partnerships, develop deep knowledge of your assigned geographic markets and become the go-to source for all information relating to local trends and market dynamics for internal and external partners, respond to and deliver exceptional service to your professional hosts in a timely and efficient manner, occasionally traveling to your market to provide in-person support and guidance, work cross-functionally with public policy, legal, communication, and customer support teams to ensure our long-term market success, engage an entrepreneurial mindset to autonomously design, develop, and execute bespoke engagement initiatives for the assigned territory, and support host community programs in your region, contributing to the growth and engagement of Airbnb's community.

To succeed in this role, you will need to have a minimum of 5+ years of experience in account management, partner support, and/or sales, 2+ years of experience in the hospitality/travel industry is a plus, be willing to regularly travel to your aligned market territory, have a proven track record of being able to effectively work a leads pipeline and/or a book of business, be proficient in using CRM software, specifically in working with leads, opportunities, and other core objects, have excellent communication and presentation skills and the ability to communicate effectively with clients via phone, email, and in-person, be proficient in quantitative skills and have a proven ability to interpret and apply data throughout your day-to-day work, have strong time management and prioritization skills, be able to work at both strategic and tactical levels, with a proven track record to execute in ambiguous environments, be able to work within tight deadlines, adjust to changes in priorities, and balance short-term needs with long-term strategic initiatives, have a passion for Airbnb, travel, and the sharing economy, and be a charismatic self-starter who is resourceful and self-sufficient.

Mandatory fluency in English and Arabic, with French as a preferred additional language.

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Research Engineer, Information Quality

Summary

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

Responsibilities

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

Key responsibilities:

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

Requirements

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

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

Preferred Qualifications

In addition, the following would be an advantage:

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

Benefits

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

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You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).

This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.

Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.

Responsibilities:

• Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
• Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
• Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
• Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
• Select and solve challenging problems from financial risk domains where you have deep expertise

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant
• Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)
• Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data

Preferred Skills and Experience:

• Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm
• Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance
• Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)
• Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)
• Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)
• Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)
• CFA, FRM, PRM, CQF, or similar risk-focused certifications
• Previous exposure to large language models, AI safety, or quantitative evaluation pipelines

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time
• We are unable to provide visa sponsorship
• For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements

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You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

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This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. As a Quantitative Finance Expert, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. Quantitative Finance Experts teach our AI models about how people interact and react, as well as how people approach issues and discussions in quantitative finance. To accomplish this, Quantitative Finance Experts will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings).
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation in quantitative finance.

Preferred Skills and Experience:

• Professional experience as a quantitative trader or analyst.
• Possesses experience with at least one publication in a reputable finance or economics journal or outlet.
• Teaching experience as a professor
• Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib)
• FRM (Financial Risk Manager)
• CQF (Certificate in Quantitative Finance)
• PRM (Professional Risk Manager)
• CAIA (Chartered Alternative Investment Analyst)
• CFA (Chartered Financial Analyst)

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies , including on-chain analysis, DeFi protocols, perpetual futures & derivatives trading, cross-exchange arbitrage, market microstructure in fragmented venues, MEV-aware execution, machine learning for crypto alpha signals, and portfolio/risk management in high-volatility 24/7 markets.

This role demands sharp quantitative thinking, quick adaptation to evolving instructions, and the ability to deliver precise, technically robust critiques and solutions in a dynamic environment.

Responsibilities:

• Utilize proprietary software to deliver accurate labels, rankings, critiques, and in-depth solutions on assigned projects
• Consistently produce high-quality, curated data adhering to rigorous technical and domain standards
• Partner with engineers and researchers to iterate on new training tasks, evaluation frameworks, and crypto-specific benchmarks
• Offer actionable feedback to enhance the efficiency, accuracy, and usability of annotation and data-collection interfaces
• Identify and solve challenging problems from crypto & digital asset domains where you have strong expertise , examples include:

• On-chain metrics analysis and wallet/flow clustering for alpha generation
• DeFi yield farming, liquidity provision, and impermanent loss modeling
• Cross-exchange / CEX-DEX arbitrage and triangular opportunities
• Perpetual futures funding rate strategies and basis trading
• Market microstructure in crypto order books (fragmented liquidity, MEV, sandwich attacks)
• Machine learning models for price prediction, sentiment from social/on-chain, volatility forecasting
• Tokenomics evaluation, airdrop/IDO quantitative assessment, and risk premia in altcoins
• Portfolio optimization and risk management in 24/7 high-volatility environments

• Provide rigorous critiques of model outputs, alternative quantitative approaches, mathematical derivations, code snippets, and step-by-step crypto reasoning
• Efficiently interpret, analyze, and complete tasks based on detailed (and evolving) guidelines

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Computer Science (with crypto/blockchain focus), Statistics, Applied Mathematics, Economics (quantitative), Physics, Operations Research, Data Science, or closely related field or equivalent professional experience as a quantitative crypto trader, systematic strategist, or on-chain analyst
• Superior written and verbal English communication (technical papers, explanatory breakdowns, professional correspondence)
• Extensive hands-on familiarity with crypto data sources and tools (CoinGecko, CoinMarketCap, Dune Analytics, Glassnode, Nansen, Chainalysis, Messari, DefiLlama, The Graph, blockchain explorers, CEX APIs, on-chain datasets, etc.)
• Outstanding analytical skills, attention to detail, and sound judgment under partial information

Preferred Skills and Experience:

• Professional experience in quantitative crypto trading, systematic strategies, or on-chain research at a crypto hedge fund, prop desk, market-making firm, DeFi protocol, or digital asset investment firm
• Publications or public analyses in crypto quant topics (e.g., journals, conferences, reputable blogs, GitHub repos with notable traction)
• Teaching, mentoring, or content-creation experience in crypto/quant finance (university, bootcamps, Twitter threads, newsletters)
• Proficiency in Python for crypto analysis (pandas, NumPy, ccxt, web3.py, etherscan APIs, polars, scikit-learn, PyTorch/TensorFlow for ML models, etc.) and/or Rust/Solidity familiarity
• Experience with backtesting crypto strategies, handling tick-level or on-chain data, managing API rate limits, and dealing with 24/7 market quirks
• Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena
• CFA, FRM, CQF, or blockchain-specific certifications (e.g., Certified Blockchain Expert)
• Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts (strong plus)

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: $25/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.

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Design & own evaluation/optimization frameworks for frontier music models. Dive deep under the hood of our music generation systems, applying computational & human resources to understand model capabilities and identify areas for growth. Build optimization loops and apply your findings to our pretraining, post-training and inference systems as applicable.

Drive product & research roadmap. Own our data roadmap end-to-end, formulating research questions, exploring/linking/expanding data sources and conducting experiments at your discretion. Your work will span data mining, machine learning, causal inference, survey design and more, and your results will be critical for decision-making in product development, research investment and overall business direction.

Build stable infrastructure. Your work will reach far beyond the jupyter kernel, manifesting in robust integrations with our research & product tech stacks, potentially in performance-critical paths. You'll also build large-scale standalone data processing systems, allocating resources as needed to manage the data ecosystem.

Champion scientific rigor. As our first quantitative researcher, you'll cultivate a culture of scientific rigor across the company and deepen common understanding of models, users and data. You'll proactively identify opportunities, define metrics, share results, and build a rigorous foundation upon which to understand our highly subjective domain.

We're looking for someone with deep quantitative expertise, preferably a Ph.D. in statistics, mathematics, physics, or another quantitative discipline, or 5+ years' industry experience as a quantitative analyst / data scientist. Autonomy & ownership are key, as you'll thrive in greenfield research domains, undefined product categories and small, flat teams. Engineering chops are also important, as you'll need to translate your ideas into clear, production-ready code and collaborate in an active research codebase.

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The ideal candidate will possess a deep understanding of sales processes, compensation best practices, and strong leadership skills to manage the end-to-end compensation cycle, specifically within the high-tech industry.

Key responsibilities include:

• Leading the annual review and design process for all sales incentive compensation plans, ensuring alignment with corporate strategy, sales goals, competitive market data, and industry best practices.

• Modelling, analysing, and forecasting the financial impact of proposed compensation plan changes, presenting data-driven recommendations to executive leadership.

• Collaborating with Sales, Finance, HR, and Legal teams to ensure plan feasibility, compliance, and effective rollout.

• Overseeing the end-to-end administration of sales compensation, including territory and quota management, data integrity, calculation, and conflict resolution.

• Managing and optimising the sales compensation process to ensure accurate and efficient compensation calculations.

• Evaluating and leading implementation of a robust, scalable compensation system.

• Developing and maintaining documentation, policies, and procedures related to sales compensation plans and processes.

• Ensuring compliance with all internal policies and external regulations.

• Generating regular and ad-hoc compensation reports and dashboards to provide insights into plan performance, sales effectiveness, and cost of sales.

• Conducting quarterly and annual audits of compensation data and calculations to ensure accuracy and resolve discrepancies.

• Analysing sales attainment, plan effectiveness, and making data-driven recommendations for plan adjustments.

• Serving as the primary subject matter expert on all sales compensation matters, including industry standards and emerging trends.

• Developing and delivering training materials and presentations to educate the sales force and management on compensation plan details and changes.

• Mentoring and guiding junior team members, fostering a culture of accuracy, accountability, and continuous improvement.

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In this role, you'll apply strong analytical judgment and product intuition to help us understand customer behaviour, evaluate trade-offs, and make smart investment decisions across the cards and lending lifecycles , from eligibility and activation to spend, retention, incentives, and credit performance. You'll help build a data-informed culture across Mercury so teams can move quickly, measure what matters, and invest intelligently.

Key responsibilities include:

• Bringing impeccable communication and complete ownership , independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling.
• Developing a nuanced understanding of cardholder behaviour and economics, helping teams reason about trade-offs between growth, engagement, risk, and unit economics.
• Defining, owning, and analysing metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilisation, rewards, retention, loss signals).
• Designing and evaluating experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis.
• Building and improving data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.
• Building and deploying predictive models to forecast key outcomes, inform product treatments, and deepen understanding of causal drivers.

Requirements include:

• 7+ years of experience working with large datasets to drive product or business impact in data science or analytics roles.
• Fluency in SQL and comfort with Python.
• Strong judgment in defining and analysing product metrics, running experiments, and translating ambiguous questions into structured analyses.
• Exceptional proactivity and independence , identifying opportunities, forming strong points of view, and making your case to stakeholders.
• Experience with ETL processes and modern data modelling (e.g., dbt, dimensional models, Airflow), with a solid understanding of how data is produced and consumed.
• Experience in analytical approaches ranging from behavioural modelling to experimentation to optimisation , and, importantly, know when simpler approaches are the right answer.
• Apply AI tools to accelerate analytical and business workflows, improving scalability, decision quality, and reducing manual or repetitive work across teams.

Nice to have:

• Experience working on cards or credit products, with familiarity in card economics and lifecycle concepts (e.g., spend behaviour, interchange, rewards and incentives, utilisation, credit limits, retention).
• Experience developing quantitative pricing models or engines (e.g., dynamic pricing, incentive optimisation, or marketplace pricing systems).
• Experience applying optimisation techniques to resource allocation or decision systems (e.g., customer operations, capacity planning, or policy optimisation).
• Experience building or supporting credit models, including probability of default modelling, cashflow modelling, or dynamic credit limit setting.

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Responsibilities:

• Model, track, and allocate LLM API and Compute costs by product feature, customer segment, and use case

• Build unit cost metrics for document processing and map them to revenue-generating workflows

• Identify and size optimization opportunities; drive accountability on cost reduction initiatives with clear ROI framing

• Build dashboards and alerting so cost anomalies surface in real time, not at month-end

• Support board and investor reporting with unit economics narratives

• Support contribution margin analysis and CAC payback by segment and cohort

• Partner with G&A leadership to drive efficient scaling, managing departmental budgets, and identifying opportunities for automation or outsourcing

• Lead the annual and quarterly planning processes for Product and G&A, ensuring headcount and discretionary spend are directed toward the highest-impact initiatives

What You'll Bring:

• 6+ years of total work experience, including 3+ years in investment banking, private equity, and/or venture capital, paired with 3+ years of strategic finance/FP&A at a high-growth technology company
• Direct experience with Product Finance, specifically modeling COGS, gross margins, and/or cloud infrastructure costs
• Demonstrated expertise in pricing analysis or business model transformation (e.g., moving from seats to usage-based pricing)
• Strong quantitative skills, with the ability to build complex, multi-variable models from scratch
• Exceptional communication skills, specifically the ability to explain financial trade-offs to highly technical engineering and product leaders

Benefits:

• Competitive Salary & Equity
• 401(k) Program with Employer Matching
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Commuter Benefits
• Autonomous Work Environment
• Office Setup Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In office Perks

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Key responsibilities include:

• Supporting system integration of RF hardware, software, and platform-level components (air, land, sea, or space)
• Planning and executing test & evaluation (T&E) activities, including lab and field testing
• Generating and maintaining technical documentation, requirements, and verification artifacts
• Meeting with clients and stakeholders to identify, gather, and document technical requirements
• Analyzing project technical features, creating diagrams, and building models to define system behavior
• Ensuring that requirements are correct (validation) and that the final system meets those requirements (verification)
• Maintaining traceability of requirements from design to testing to prevent scope creep
• Working with software, RF, hardware, and project management teams to align design with user needs

Required qualifications include:

• A bachelor's degree in Systems Engineering, Computer Sciences, Physics, or a related field
• Experience with simulation tools, modeling tools, and requirements management software
• A strong understanding of signal processing fundamentals (FFT, filtering, detection theory)
• Experience with modeling and simulation tools (e.g., MATLAB, Simulink, Python)
• Familiarity with RF test equipment (spectrum analyzers, signal generators, network analyzers)
• The ability to obtain and maintain a U.S. security clearance

To conform to U.S. Government export regulations, applicants must be a U.S. citizen, green card holder, or be eligible to obtain the required authorizations from the U.S. Department of State.

What we offer includes:

• A competitive salary, stock options, and benefits, including health, vision, and dental
• 401K enrollment at 90 days
• Generous PTO + most federal holidays observed
• A collaborative and inclusive work environment
• Access to the latest tools and technologies
• High levels of responsibility and autonomy
• Professional growth and development opportunities
• Access to the hardest problems in electronic warfare

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The Global Analytics team applies quantitative and technological expertise to empower the firm with advanced models, tools, and other analytical resources. We are seeking a Capital and Risk Analytics Lead within the Global Analytics team to support the firm’s business across both banking and markets regulatory regimes.

Technical Skills:

• Strong proficiency in quantitative modeling related to capital, margin, liquidity, and counterparty risk
• Experience with risk management methodologies such as margin modeling, exposure measurement, stress testing, scenario analysis, and sensitivity analysis
• Proficiency in a programming language such as Python, R, or similar
• Experience working with large datasets and analytical tools to support risk and capital analysis
• Ability to design, document, and maintain defensible analytical frameworks suitable for regulatory review

Complexity and Impact of Work:

• Own capital and risk analytics across banking and other regulatory requirements
• Design and maintain frameworks for margin, settlement exposure, netting, prefunding, and liquidity analysis
• Perform scenario analysis and stress testing tied to market volatility, volume growth, and adverse conditions
• Evaluate capital and risk tradeoffs to support product design, limits, and settlement architecture
• Produce clear documentation and governance artifacts to support supervisory discussions and internal controls
• Lead complex analytical workstreams end-to-end with limited oversight while coordinating with cross-functional partners

Organizational Knowledge:

• Have a deep knowledge of the strategy of Anchorage Digital and its various business lines
• Familiarity with U.S. banking regulatory requirements and supervisory expectations, and understand their impact on the organization

Communication and Influence:

• Write, edit, and review technical documents suitable for regulatory, executive, and internal stakeholder audiences
• Produce clear reports and presentations translating complex analytics into business-relevant insights
• Act as a trusted quantitative partner to senior leadership on capital and risk-related decisions
• Contribute to cross-functional initiatives and collaborate closely with Product, Risk, Legal, Compliance, Finance, and Engineering teams
• Provide guidance or informal training to other team members on capital and risk topics

You may be a fit for this role if you have:

• Bachelor’s degree in a quantitative field such as statistics, applied mathematics, economics, quantitative finance, and operations research. Advanced degrees preferred.
• 8+ years of experience in capital, margin, or risk analytics within banking, derivatives markets, clearing, or regulated financial infrastructure
• Direct experience with capital adequacy, margin requirements, counterparty exposure, or liquidity risk
• Hands-on experience designing and maintaining quantitative frameworks used in regulated environments
• Experience writing and defending analytical methodologies in regulatory or supervisory contexts

Although not a requirement, bonus points if:

• You've kept up to date with the proliferation of blockchain and crypto innovations
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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This is a high-impact, hands-on quantitative role where you will build scalable analytics infrastructure, run real-time analysis when the business needs answers fast, and stress test portfolios under a range of scenarios. You will work at the intersection of financial theory, data science, and engineering.

People make this organization, and in this role, it is your mission to cultivate and contribute to a culture of risk management, continuous improvement, and strategic innovation. A healthy outcome is a business that is both agile and resilient, capable of navigating the complexities of the crypto market while achieving its strategic goals.

Technical Skills:

• Design, build, and maintain quantitative analysis tools for credit, market, and liquidity risk assessment
• Build scalable analytics pipelines in Python to automate reporting, data transformation, and real-time risk monitoring
• Execute portfolio margin stress tests and scenario analysis under tight timelines, delivering actionable insights to stakeholders

Complexity and Impact of Work:

• Lead end-to-end development of quantitative analysis tools from problem definition through production deployment with minimal oversight
• Run ad-hoc real-time analysis when the business needs answers fast and deliver under pressure
• Navigate ambiguous risk problems by selecting appropriate quantitative methods and articulating trade-offs to stakeholders
• Break down large projects into manageable workstreams, accurately estimate scope, and deliver on commitments

Organizational Knowledge:

• Collaborate closely with Trading, Sales, Compliance, Treasury, and Operations to ensure risk analysis and tools are embedded in business decisions
• Monitor industry trends, regulatory developments, and emerging best practices in quantitative risk management
• Sharing insights across teams to ensure broad understanding and adoption

Communication and Influence:

• Translate complex quantitative concepts into clear, actionable insights for technical and non-technical audiences
• Mentor junior team members on quantitative methods, analytics tooling, and professional development
• Build relationships across teams to drive adoption of risk frameworks and influence how the organization thinks about risk

You may be a fit for this role if you have:

• 8+ years of experience in quantitative finance, financial risk management, or a related quantitative discipline
• Advanced degree (Master's or PhD) in a quantitative field
• Proven track record of building quantitative analysis tools for risk management (credit, market, liquidity risk)
• You ask questions, dig into the data, and proactively explore new angles; you're not satisfied with surface-level answers
• Deep expertise in risk monitoring and reporting, including experience building or operating real-time risk dashboards and producing executive-level risk reports
• Experience with portfolio stress testing and scenario analysis in a professional setting
• Experience working with large datasets and analytical tools to support risk analysis
• Experience with regulators and regulatory exams
• You drive initiatives independently, proactively identify and solve problems, and take accountability for results

Although not a requirement, bonus points if:

• You have experience with digital assets, crypto, or blockchain-related financial products
• You have an understanding of operational risk and how it intersects with credit, market, and liquidity risk
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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Based in Singapore, you will serve as a critical member of our Financial Risk team, responsible for real-time risk monitoring and reporting. You'll be the first line of defence during market dislocations, from crypto exchange failures to black swan events, making time-sensitive decisions that protect the firm's assets and reputation.

This role demands independence, vigilance, and the judgment to know when to act and when to escalate. People make this organisation, and in this role, it is your mission to cultivate and contribute to a culture of risk management, continuous improvement, and strategic innovation.

A healthy outcome is a business that is both agile and resilient, capable of navigating the complexities of the crypto market while achieving its strategic goals.

Technical Skills:

• Drive the development and refinement of risk monitoring frameworks, dashboards, and reporting infrastructure for financial risk.
• Build and maintain quantitative models and analytics to measure market risk, counterparty risk, and liquidity risk across digital asset portfolios.
• Apply expertise in crypto market microstructure to identify emerging risk signals before they materialise into losses.

Complexity and Impact of Work:

• Lead the real-time monitoring of risk exposures across trading and financing with minimal oversight.
• Manage crisis response protocols during systemic risk events, making rapid decisions on risk mitigating actions within established risk appetite.
• Break down complex risk scenarios into actionable intelligence for trading, sales, and senior leadership.
• Capable of providing judgement with limited, imperfect information.

Organisational Knowledge:

• Collaborate closely with Trading, Sales, Compliance, and Operations to ensure risk considerations are embedded in business decisions.
• Deliver daily risk updates to the Financial Risk team and key stakeholders, ensuring transparency and alignment.
• Contribute to the evolution of Anchorage's risk management culture by sharing insights across teams to ensure broad understanding and adoption

Communication and Influence:

• Listen actively to trading and sales requests, applying judgment to balance business needs with risk appetite.
• Contribute clear, actionable risk assessments during high-pressure situations, ensuring stakeholders understand implications and recommended actions.
• Escalate appropriately when situations exceed established thresholds.

You may be a fit for this role if you have:

• 5+ years of experience in financial risk management, market risk, or a related quantitative risk role, ideally with exposure to digital assets or crypto markets.
• Deep expertise in risk monitoring and reporting, including experience building or operating real-time risk dashboards and producing executive-level risk reports.
• Experience navigating market dislocations or crisis events, with demonstrated ability to take decisive risk mitigating actions under pressure.
• Strong understanding of crypto market dynamics, including exchange risk, counterparty risk, liquidity risk, and the unique characteristics of digital asset markets.
• Independent and self-directed work style, with the ability to operate autonomously across time zones while maintaining communication.
• Proficiency in risk modelling tools and data analysis (Python, SQL, or similar).

Although not a requirement, bonus points if:

• You have direct experience at a crypto exchange or crypto-native financial institution.
• You've operated through a major crypto crisis event (e.g., exchange failure, stablecoin depeg, market contagion) and can speak to lessons learned.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding. They will be constantly looking for opportunities to push the envelope of impact from our investments in AI and inspire the team to do the same. This leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options. They will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.

Key responsibilities include: Investigating and driving clarity on some of Google's hardest long range strategic questions in AI Creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time Modeling scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google Creating SVP+ forum content (presentations, communications, mandates) Helping develop a per-mandate monitoring view to keep programs accountable Collaborating with operational teams and forums in AI to ensure that company-wide SVP+ mandates are set up for success -- well organized, staffed and delivering on desired goals. Staying connected across Google to maintain a living catalog of ongoing experiments & proposed innovations that may become worthy of discussion at NRC Identifying gaps in our processes and information and proposing/implementing solutions.

To succeed in this role, you will be a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing. You must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.

To set you up for success as a Product Manager at DeepMind, we look for the following skills and experience: A BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives. Exceptional organizational talent running high velocity, high impact, strategic programs Stellar verbal and written communication; past experience with SVP/VP+ level audiences Extensive experience in product operations and business strategy Strong analytics, strategy, and data fluency experience Experience in a role that deals with machine learning and/or compute Innovative problem solver that can turn ambiguous problem spaces into clear solutions Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage: Familiarity with the role of compute and data in building LLMs and the capabilities of these models Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders A quantitative and analytical mentality to understand Google PA and external user needs Experience navigating sensitive organizational dynamics Collaborating within data-driven or quantitative-focused teams A consistent record of creative problem solving and a bias towards action Outstanding business judgment Outstanding organizational, prioritization, and multitasking skills. Excellent communication skills A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment Experience in corporate planning Ability to manage multiple concurrent complex interactions with geographically disparate teams Past people management experience; Experience in hiring and leading teams, including distributed teams

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Application deadline: 13th Feb 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers. The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe's solution and growth suite for platforms and marketplaces).

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention.

Responsibilities:

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team.
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

Requirements:

• PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• At least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• Demonstrated expertise in designing metrics and guiding business decisions with data.
• Technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• Managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• Work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• Clear and persuasive communication skills in writing and verbally.
• Thrive on a high level of autonomy and responsibility.
• Foster a healthy, inclusive, challenging, and supportive work environment.

Preferred Requirements:

• Comfortable working with geographically distributed teams.
• Expertise in time series forecasting, predictive modeling, or optimization.
• Expertise in data design and building scalable data architectures.

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As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding.

The role will involve personally driving and amplifying impact through leading a team to investigate and drive clarity on some of Google's hardest long-range strategic questions in AI, creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time, modeling scenarios and various trade-offs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google, and creating SVP+ forum content (presentations, communications, mandates).

To be successful in this role, you will need to be a PM who thrives as both a central hub orchestrating complex and long-running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing. You must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company.

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

• BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area
• 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives.
• Exceptional organizational talent running high-velocity, high-impact, strategic programs
• Stellar verbal and written communication; past experience with SVP/VP+ level audiences
• Extensive experience in product operations and business strategy
• Strong analytics, strategy, and data fluency experience
• Experience in a role that deals with machine learning and/or compute
• Innovative problem solver that can turn ambiguous problem spaces into clear solutions
• Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the capabilities of these models
• Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools
• 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders
• A quantitative and analytical mentality to understand Google PA and external user needs
• Experience navigating sensitive organizational dynamics
• Collaborating within data-driven or quantitative-focused teams
• A consistent record of creative problem solving and a bias towards action
• Outstanding business judgment
• Outstanding organizational, prioritization, and multitasking skills
• Excellent communication skills
• A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment
• Experience in corporate planning
• Ability to manage multiple concurrent complex interactions with geographically disparate teams
• Past people management experience; Experience in hiring and leading teams, including distributed teams

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Requirements

• Essential Skills:
• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• A second major European language at C2 level is an advantage
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_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 individuals 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.

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Skills and Qualifications:

Essential Skills:

• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills (English & a second major European language at C2 level)
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_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 individuals 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._

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The mission of the Risk and Quantitative Analysis (RQA) function is to help BlackRock manage its fiduciary and enterprise risks and provide independent oversight. The Enterprise Risk team within RQA oversees those risks which directly impact the corporate entity (i.e. BlackRock, Inc., or one of its subsidiaries), rather than the fiduciary risks assumed by funds/clients, such as investment risks and counterparty risks.

The Global Model Risk Management function within Enterprise Risk team is responsible for developing the firm-wide Model Risk Management framework and the implementation of the framework across the firm. Key responsibilities of the team include performing independent review of model risk related activities across the firm, working with the model owners and proving oversight and assessment of their model risk procedures to ensure that they are comprehensive, rigorous and effective and follow the firm-wide and regulatory requirements.

Key Responsibilities

• Assist with the implementation of the firm-wide Model Risk Management Policy.
• Support the execution of governance activities including activities covered by relevant sub-committees of the Enterprise Risk Committee (ERC).
• Drive operational efficiency through process improvements or automation (i.e. tracking risk metrics, issues, performance issues, errors, internal audit findings and any issues raised by regulators, managing incidents and risk & control issues.
• Promote the development and implementation of the model risk management activities in the model risk management system in compliance with the Policies and regulatory guidelines.
• Prepare report on the status of Model risk to the appropriate risk management oversight committees on a periodic basis and as required.
• Responding to Model related inquiries from regulators or auditors.

Knowledge/Experience/ Competencies

• Minimum of 3 years’ works experience in the financial industry.
• Undergraduate/ Master’s in Computer Science, Mathematics, Finance, Financial or Engineering.
• Excellent communication, negotiation and problem-solving skills
• Ability to draft governance documents and committee materials with clarity and precision
• Experience in quantitative Model reviews or process improvements, change management or project lifecycle management
• Strong interpersonal and organizational skills and attention to details.
• Ability to work independently and manage multiple priorities simultaneously and can prioritize and escalate as appropriate
• Programming experience in one or more environments such as R, Python and SQL
• Proven experience working on M365 tools (specifically Excel & PowerPoint) and platform such as Power Automate, Power BI and Copilot Studio

Our benefits

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

Our hybrid work model

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

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About this role

We are seeking a highly skilled Quantitative Modeler to join our Model Governance team in Budapest. As a Quantitative Modeler, you will be responsible for developing and implementing methodologies, thresholds, and boundary conditions for Fixed Income Derivative Models.

What You Will Be Doing

• Develop and implement methodologies, thresholds, and boundary conditions for Fixed Income Derivative Models.
• Analyze model output and time-series data to define correctness criteria and thresholding to be measured every day.
• Implement such tests in Python and interact with Model Risk Management to get Model Performance Monitoring Tests approved.
• Develop and maintain Model Infrastructure, including Reporting Infrastructure for Model Breaches and Infrastructure for monitoring overnight performance tests.
• Create and maintain Model Documentation.
• Collaborate with the AI team to develop and implement a Large Language Model (LLM) project for Model Governance.

What We're Looking For

• A master's degree in a Quantitative field.
• 5+ years of experience in a quant/quant-dev finance role with strong programming skills.
• Advanced hands-on Python programming skills.
• Basic C++ coding skills.
• Expertise with Software Engineering Tools/Platforms – Git/LINUX.
• A passion for programming and a willingness to learn and adapt to new technologies.
• An analytical frame of mind and the ability to analyze complex data and make informed decisions.
• Excellent communication skills and the ability to explain complex concepts to non-technical people.

Our benefits

• Retirement investment and tools designed to help you build a sound financial future.
• Access to education reimbursement.
• Comprehensive resources to support your physical health and emotional well-being.
• Family support programs.
• Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes, and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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Business Overview

Understanding and managing risk is central to BlackRock's investment approach. The Risk & Quantitative Analysis (RQA) group provides independent oversight of the firm's investment and enterprise risks by delivering risk management, tailored advice, and analytics that support better business and investment outcomes. RQA partners closely with investment teams across the firm, combining quantitative analysis, market insight, and a multidisciplinary skillset to tackle real-world investment challenges. Our work spans top down and bottom up risk oversight, helping portfolio managers build risk aware portfolios and develop risk and portfolio analytics using Aladdin's capabilities.

The Risk Manager as a member of the local risk team and together with the assistance of the broader global Risk and Quantitative Analysis group, will be responsible for ensuring that all applicable risks pertaining to the funds managed by the entity are monitored and managed at all times.

Key Responsibilities:

• Assist the Head of Risk Management in the implementation and maintenance of local risk management policies and procedures and adequate risk management systems to identify, measure, manage and monitor risks appropriately and on an on-going basis.

• Implement and maintain local risk management policies and procedures and adequate risk management systems to identify, measure, manage and monitor risks appropriately and on an on-going basis.

• Provide regular reporting to the management company on the current levels of risk incurred by each managed Fund and the compliance of each managed Fund with the relevant risk limit system.

• Assist in preparation, aggregation and quality control of risk related data which is needed for various reporting purposes.

• As a member of the global RQA function, participation in global and/or regional risk management initiatives.

Qualifications

• Minimum working experience of at least 2 years within the risk management or risk reporting function of a financial services organization.

• Competent in the understanding of the UCITS and/or AIFMD requirements.

• A high level of communication and presentation skills and an ability to build relationships across multiple internal stakeholders.

• Team player with excellent interpersonal skills and cultural awareness.

• Excellent analytical skills with the ability to identify problems and develop solutions.

• Fluent spoken and written English.

• University degree in Mathematics, Finance, Economics, Business Administration or related studies.

Our benefits

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

Our hybrid work model

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

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Your Key Responsibilities:

• Translate global strategies into local marketing plans that achieve commercial success in our local markets.
• Close collaboration with key account managers to drive category goals and strategies.
• Align closely with the Cluster Head of Marketing and Sales Leaders/KAM's on promo planning, demand planning to drive strategic initiatives.
• Be the single point of contact for all new product launches including planning, forecasting, budgeting and marketing.
• Successfully manage both retailer & etailer marcom spend (MDF) as well as budget ownership for third party agencies (OPEX).
• Engage with specific communities & partners with innovative marketing programs that drives best practice.
• Communicate quarterly results on marketing campaigns, product launches, budgets, digital media spend and overall country performance (by product line, strategic pillar and channel).
• Develop consumer strategies based on market intelligence, locally relevant consumer insights, and best practices.
• Guide creative development of our brand and campaign assets that resonate with a specific target audience.
• Drive 360-degree omnichannel approach that integrates social, web, PR, partnerships, in-store and channel marketing programs.
• Communicate the Logitech story, promotions, and partnerships across various channels.
• Effectively manage creative & PR agencies and internal resources for the on-time delivery of world class marketing campaigns.
• Drive coordination and alignment with global marketing teams and partners.
• Evaluate, translate and design actionable plans from internal and external insights like GFK.
• Understand category management in order to execute with sales & key accounts to drive the most profitable SKU’s.

Key Qualifications:

• Experience developing innovative marketing programs from inception through execution for large global brands.
• 7+ years in marketing in tech, consumer electronics or consumer goods.
• BA/BS degree.
• Experience managing marketing through the entire product lifecycle from conception through EOL.
• Category management experience
• Strong communication, collaboration and organizational skills.
• Experience working with and managing external agencies.
• Ready to lead groups, inspire creativity, and ability to interact with multiple partners.
• Ability to use quantitative data and metrics to drive strategic decisions and marketing activities.
• Self-motivated, driven and high energy level.

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are an experienced process operations specialist with a keen eye for detail and a passion for continuous improvement. You possess a strong background in quantitative disciplines such as computer science, engineering, mathematics, or economics, complemented by formal training in Process and Continuous Improvement frameworks and Project Management methodologies. Your excellent communication skills enable you to effectively convey complex information to both internal and external stakeholders. You thrive in a collaborative environment, demonstrating a proven ability to lead cross-functional project teams and drive process optimization initiatives. You have experience in implementing PPM Portfolio and Project Management tools. You are committed to staying up-to-date with best practices and new methodologies, always seeking opportunities to enhance in-house techniques and processes.

What You’ll Be Doing:

• Define, implement, and control Product Operational overall processes, including Service Management and Project Management.
• Charter and evaluate existing processes to identify and implement improvements.
• Define and measure key indicators and metrics for up and downstream improvements.
• Align and define interfaces with different engineering groups and entities.
• Organize and accelerate cross-functional project teams for global process definition and roll out.
• Communicate and train teams on Processes and related tools.
• Collect up-to-date best practices and new methodologies applicable to in-house techniques and processes.

The Impact You Will Have:

• Accelerate our Product Operations processes definition, implementation, and compliance.
• Enhance the efficiency and effectiveness of our service and project management practices.
• Drive continuous improvement initiatives to optimize operational workflows.
• Facilitate collaboration and alignment across various engineering groups and entities.
• Ensure that teams are well-trained and equipped to utilize processes and tools effectively.
• Contribute to the overall success and innovation of Synopsys by implementing best practices and new methodologies.

What You’ll Need:

• MSc degree in a quantitative discipline such as computer science, engineering, mathematics, economy, or other related fields.
• Demonstrable experience in formal Continuous Improvement frameworks (e.g., ITIL) and Formal Project Management (e.g., PMP, PRINCE2, CSM) with relevant training and credentials.
• Demonstrated experience in implementing PPM Portfolio and Project Management tools (e.g., Clarity).
• Excellent written and verbal English communication skills, both to internal and external stakeholders.
• Proven ability to craft actionable messaging to peers and drive process improvements.
• 7+ years of relevant experience in Continuous Improvement and/or Project Management (or related areas).
• Previous experience in Consulting role(s) is also a plus.

The Team You’ll Be a Part Of:

You will be part of a dynamic and innovative team focused on defining, implementing, and optimizing product operational processes. Our team collaborates closely with various engineering groups and entities to ensure alignment and efficiency across the organization. We are committed to continuous improvement and the adoption of best practices, driving the success of Synopsys through effective process management and project execution.

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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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We're looking for a Software Engineer to work at the intersection of engineering and research on the Claude Code team. In this role, you'll collaborate directly with Anthropic's researchers to improve Claude’s coding capabilities through tooling, infrastructure, and evaluations. You'll build systems that help us understand where Claude Code excels and where it falls short—and then help close those gaps.

We're looking for engineers who can build robust, complex systems and who thrive in fast-paced, high-intensity environments. You'll take ambiguous problems and turn them into reliable infrastructure that accelerates our research.

Responsibilities

• Design and build eval systems that measure model capabilities across diverse coding tasks

• Build tooling and infrastructure that enables researchers to run experiments at scale

• Develop pipelines for data collection, processing, and analysis

• Create internal tools that improve researcher productivity and accelerate iteration cycles

• Serve as a bridge between product and research—bring strong product intuition to inform which capabilities matter most

• Work closely with researchers to translate research questions into engineering solutions

• Own systems end-to-end—from design through production reliability

You may be a good fit if you:

• Have built and owned complex systems—pipelines, infrastructure, or software that orchestrates many components and handles significant state and logic

• Thrive in high-intensity environments with fast iteration cycles

• Take full ownership of problems and drive them to completion independently

• Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations

• Are comfortable diving into unfamiliar technical domains and figuring things out quickly

• Care deeply about correctness and reliability in the systems you build

• Are excited to work at the boundary between engineering and AI research

• Have at least 5 years of work experience

Strong candidates may also have experience with:

• Writing or maintaining eval/evaluation frameworks

• Reinforcement learning systems

• Working in high-performance, demanding environments—trading firms, quant funds, competitive research labs, or fast-moving startups where intensity is the norm

• Have research computing or scientific infrastructure background

• Have a strong quantitative foundation (math, physics, or related fields)

• Python and TypeScript

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

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Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.

You may be a good fit if you:

• Have significant software engineering or machine learning experience, particularly at supercomputing scale
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High performance, large-scale ML systems
• GPU/Accelerator programming
• ML framework internals
• OS internals
• Language modeling with transformers

Representative projects:

• Implement low-latency high-throughput sampling for large language models
• Implement GPU kernels to adapt our models to low-precision inference
• Write a custom load-balancing algorithm to optimize serving efficiency
• Build quantitative models of system performance
• Design and implement a fault-tolerant distributed system running with a complex network topology
• Debug kernel-level network latency spikes in a containerized environment

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage:

Learn about our policy for using AI in our application process

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Agentic systems are becoming an increasingly important part of how AI is deployed. Over the last year, we’ve seen rapid adoption of Claude-powered agentic systems in spaces like coding, research, customer support, network security, and more. We believe this is just the beginning, and we expect Claude to be handling much more complex tasks end-to-end or in cooperation with a human user as time goes on. We have a team striving to make Claude an even more effective agent over longer time horizon tasks, and coordinate with groups of other agents at many different scales to accomplish large tasks. This team endeavors to maximize agent performance by solving challenges at whatever level is needed, whether it’s novel harness design, improved agent affordances and infrastructure, or finetuning.

Given that this is a nascent field, we ask that you share with us a project built on LLMs that showcases your skill at getting them to do complex tasks. Here are some example projects of interest: design of complex agents, quantitative experiments with prompting, constructing model benchmarks, synthetic data generation, or model finetuning. There is no preferred task; we just want to see what you can build. It’s fine if several people worked on it; simply share what part of it was your contribution. You can also include a short description of the process you used or any roadblocks you hit and how to deal with them, but this is not a requirement.

Responsibilities:

• Ideate, develop, and compare the performance of different agent harnesses (eg memory, context compression, communication architectures for agents)
• Design and implement rigorous quantitative benchmarks for large scale agentic tasks
• Assist with automated evaluation of Claude models and prompts across the training and product lifecycle
• Work with our product org to find solutions to our most vexing challenges applying agents to our products
• Help create and optimize data mixes for model training that maximize Claude’s performance or ease of use on agentic tasks

You may be a good fit if you:

• Have experience developing complex agentic systems using LLMs
• Have significant software engineering and ML experience
• Have spent time prompting and/or building products with language models
• Have good communication skills and an interest in working with other researchers on difficult tasks
• Have a passion for making powerful technology safe and societally beneficial
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends.
• Enjoy pair programming (we love to pair!)

Strong candidates may also have experience with:

• Large-scale RL on language models
• Multi-agent systems

Representative projects:

• Design and build a novel agent harness that outperforms existing agents on coding or knowledge work benchmarks
• Design and build agent affordances that unlock new capabilities for internal use and deployed products
• Design and build a novel eval that measures how many agents interact in groups to solve problems
• Build a scaled model evaluation framework driven by model-based evaluation techniques.
• Build the prompting and model orchestration for a production application backed by a language model
• Finetune Claude to maximize its performance using a particular set of agent tools or harness

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—

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Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

• $284K – $415K

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

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the role

We’re looking for a Monetization Product Marketer, Advertising to help shape and scale our advertising products and go-to-market strategy. You’ll combine strategy, market and customer insight with strong product intuition to guide roadmap priorities, mitigate product risks, and deliver launches and coordinate go-to-markets that drive adoption and measurable business impact. This role is ideal for someone who thrives in ambiguity, enjoys turning complex technical capabilities into clear customer value, and can lead cross-functional work in a fast-moving environment.

In this role you will:

• Lead market assessment and customer discovery to identify advertiser needs, market trends, and competitive dynamics

• Translate insights into clear product requirements, positioning, and go-to-market plans in close partnership with Product and Engineering

• Partner with Design, Data Science, and Analytics to define success metrics, measurement strategy, and experimentation plans

• Identify product risk areas (e.g., performance, safety, policy, trust) and drive cross-functional plans to mitigate them

• Own launch strategy and execution for new and improved advertising products, including messaging, enablement, and rollouts

• Build narratives and materials that explain value simply (e.g., positioning, sales decks, one-pagers, FAQs, internal comms)

• Lead the go-to-market strategy and coordination to drive product adoptions and sales in coordination with Sales, Partnerships and Product (Including client communications, product documentation, and positioning)

• Coordinate across stakeholders to keep workstreams aligned, remove blockers, and deliver outcomes on time

• Continuously evaluate and improve existing experiences to drive retention, performance, and advertiser satisfaction

You might be a great fit if you…

• Have strong structured problem solving skills - taking ambiguous problems, breaking them down into answerable parts and then designing and managing a process to answer these questions and driving implementation

• Can connect advertiser needs to product strategy, and influence prioritization across Product/Engineering/Design

• Understand the advertising ecosystem: measurement, targeting/relevance, creative, auctions, and performance tradeoffs

• Have experience marketing products—especially advertising, marketing tech, platforms, or data/AI products

• Communicate clearly and persuasively—turning technical concepts into crisp customer value and differentiated positioning

• Are fluent in both qualitative and quantitative research (customer interviews, surveys, funnel analysis, experimentation)

• Thrive in fast-paced, ambiguous environments and can manage multiple concurrent projects with strong judgment

• Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority

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 artificial intelligence while also ensuring that AI is developed in a way that is safe and beneficial to society.

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Product Policy - Data Scientist

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Product Policy

Compensation

• $293K – $385K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Product Research team partners closely with Product Management, Design, Engineering, and Policy to ensure OpenAI builds products that are useful, usable, and responsible. We help teams understand user needs, evaluate product concepts, and validate experiences across the full product lifecycle—from early exploration through launch and iteration.

Our work directly informs how OpenAI’s products evolve, ensuring that we deliver experiences that meet real-world needs while upholding OpenAI’s mission to ensure AI benefits all of humanity.

About the role

As a Product Policy - Data Scientist, you will design and lead high-impact research that shapes OpenAI’s product strategy and user experience. You’ll work across multiple product teams to generate insights that influence product decisions, inform design direction, and improve how people interact with AI.

You will own research from start to finish—partnering with stakeholders to define the right questions, choosing the best methods, executing studies, and turning findings into clear, actionable recommendations. This role requires someone who can balance rigor with speed, bring clarity to ambiguity, and confidently influence cross-functional partners at all levels.

This role is based in the San Francisco Bay Area and requires being in the office three days per week to collaborate closely with cross-functional partners.

We're looking for people who:

• Partner with product managers, designers, and engineers to identify and prioritize research opportunities that improve product decisions and user experience

• Design and execute high-quality qualitative and quantitative research across all stages of product development, including foundational research, concept testing, prototyping, and usability testing

• Lead end-to-end research projects, from scoping and study design through recruitment, fieldwork, analysis, and reporting

• Translate complex research findings into clear, compelling insights that inform product strategy and design direction

• Present findings and recommendations to senior leadership and key stakeholders

• Balance rigor and speed by adapting methods to timelines while maintaining high standards for data quality and validity

In this role, you will:

• 7+ years of experience in user experience research, market research, or a related field

• Deep expertise in mixed-methods research, with strong qualitative skills and the ability to conduct and analyze quantitative studies at scale

• Proven experience leading research that has shaped product or design decisions

• Exceptional written and verbal communication skills, with the ability to influence across disciplines and levels

• Experience working with senior stakeholders and cross-functional teams

You might thrive in this role if. you:

• Experience with advanced quantitative methods (e.g., MaxDiff, conjoint, segmentation)

• Experience working with executive audiences or large enterprise clients

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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Researcher, Interpretability

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Safety Systems

Compensation

• $295K – $445K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven.

About the Role

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI.

In this role, you will:

• Develop and publish research on techniques for understanding representations of deep networks.

• Engineer infrastructure for studying model internals at scale.

• Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue.

• Guide research directions toward demonstrable usefulness and/or long-term scalability.

You might thrive in this role if you:

• Are excited about OpenAI’s mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter.

• Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI.

• Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines.

• Hold a Ph.D. or have research experience in computer science, machine learning, or a related field.

• Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area.

• Possess 2+ years of research engineering experience and proficiency in Python or similar languages.

• Are deeply curious.

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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Product Manager, Model Behavior

Location

San Francisco

Employment Type

Full time

Department

Product Management

Compensation

• $230K – $325K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Model Behavior team is responsible for how OpenAI’s models behave. We’re focused on making current and future models better for people at scale—improving existing capabilities, shaping emerging ones, and scaling model behavior tuning. We collaborate across the company, as our work directly impacts many teams.

About the Role

As a Product Manager for the Model Behavior team, you'll be at the forefront of defining and guiding the future of how our AI models behave in real-world applications. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

• Define strategic priorities and roadmap for improving model behavior, focusing on user outcomes, safety, reliability, and emerging capabilities. Care for our users, and humanity as a whole, are core to this role.

• Partner closely with research, engineering, product design, and policy teams to translate strategic goals into actionable product initiatives.

• Develop scalable methodologies, tools, and processes for evaluating, tuning, and iterating on model behavior.

• Synthesize user research, community feedback, and quantitative insights into targeted improvements in our AI models.

• Establish and iterate on clear, actionable metrics that accurately reflect model quality and user experience at scale.

You might thrive in this role if you:

• Have 6+ years of product management or related industry experience.

• Have an interest in fields such as human-computer interaction, psychology, philosophy, or other relevant fields.

• Are excited about building not just a product, but a new form of intelligence, with the aim to benefit humanity

• Have hands-on experience driving consensus and action in ambiguous spaces.

• Know how to ask questions that uncover underlying constraints and assumptions.

• Excel at collaborating across diverse teams and communicating complex ideas clearly.

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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We’re looking for a Senior Manager, Compensation Analytics to lead complex compensation analyses and deliver high-impact insights that support hiring, promotions, retention, and equity decisions. This role focuses on building and operating advanced analytical frameworks, partnering closely with Compensation, HRBPs, Recruiting, and Finance to ensure decisions are well-informed, explainable, and practical. This is a senior individual contributor role and first of its kind. You will play a critical role in shaping how compensation data is modeled, interpreted, and applied across the People ecosystem. This role reports to our Head of Compensation & Total Rewards.

Your Responsibilities:

• Lead the development and maintenance of compensation analytics, including market pricing, internal equity analysis, and performance-informed pay insights.

• Translate complex or incomplete data into clear, decision-ready recommendations for Compensation leaders, HRBPs, and recruiting partners.

• Partner with cross-functional teams (Recruiting, People Analytics, Equity, Finance) to support hiring, promotion, and retention decisions.

• Apply advanced analytical methods — including modeling, scenario analysis, and structured assumptions — to address gaps in market data or emerging roles.

• Identify opportunities to improve compensation workflows, tools, and reporting, balancing analytical rigor with speed and usability.

• Contribute to the responsible use of AI and automation in compensation analysis, with appropriate guardrails and explainability.

• Coach and review the work of more junior analysts as needed; may directly manage 1–2 ICs depending on team structure.

We're Seeking:

• 6-10 years of experience in compensation analytics, people analytics, finance, or a related quantitative field.

• Strong hands-on experience with market pricing, internal equity analysis, and pay decision support.

• Comfort operating in ambiguous environments with incomplete or shifting data.

• Proven ability to partner cross-functionally and influence decisions without owning final authority.

• Clear communicator who can explain analytical findings to non-technical stakeholders.

• Familiarity with global compensation concepts and the limitations of traditional benchmarking data.

Workplace & Location

This role can be based in our San Francisco office or remotely in the US. When applying, let us know which location(s) work for you. We also offer relocation support to new hires.

If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates.

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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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

People

Compensation

• San Francisco $216K – $240K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible.

Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent.

About the Role

You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.

You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.

In this role, you will:

• Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.

• Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.

• Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.

• Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit.

• Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.

You might thrive in this role if you:

• Significant experience recruiting within highly technical or specialized environments.

• Deep interest in AI research and a desire to engage directly with global research communities.

• Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.

• Track record of leading complex, ambiguous technical searches from early talent mapping through close.

• Experience navigating high-stakes negotiations with senior technical or research candidates.

• Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.

Workplace & Location

This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.

Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.

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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Intelligence & Investigations

Compensation

• $198K – $320K • 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 Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

About the Role

As a Quantitative Intelligence Analyst, you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood.

Responsibilities

• Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators

• Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time

• Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts

• Analyze risk trends to assess the underlying drivers and causal factors behind those changes

• Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems

• Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities

• Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams

Requirements

• Have 3–6+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research

• Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas

• Familiarity with data mining, statistical modeling, and supervised learning methods

• Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes

• Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses

• Comfortable working with Python and SQL

• Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk

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 and work to ensure that our technology is developed and used responsibly.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

Compensation

• $266K – $385K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the team

The UX Research team is a small team with outsized impact across OpenAI. We sit at the intersection of users, product, and safety—helping ensure that powerful AI systems are built responsibly and grounded in real human needs.

Our work informs critical product decisions across OpenAI. We partner closely with product, design, engineering, and leadership to bring clarity to complex questions—often in fast-moving spaces where norms and best practices are still being defined.

This role is based in San Francisco, CA. We operate on a hybrid model with 3 days in the office each week and offer relocation assistance.

In this role, you will:

• Design and execute quantitative research across the product lifecycle, from foundational understanding to concept validation, prototyping, and usability evaluation.

• Partner with product managers, designers, engineers, and data scientists to identify high-impact opportunities where quantitative insights can meaningfully shape product decisions.

• Lead rigorous, customized studies that answer both strategic and tactical questions, using methods such as surveys, experiments, and behavioral data analysis.

• Translate complex data into clear, actionable recommendations that drive alignment and decision-making across teams.

• Apply strong survey methodology and statistical rigor to ensure findings are valid, reliable, and decision-ready.

• Influence product direction through close cross-functional collaboration and clear, audience-appropriate storytelling.

You might thrive in this role if you have:

• 5+ years of experience working in user experience research, market research, data science, and/or a related field with a strong focus on quantitative methods.

• Expertise in quantitative research, with proficiency in statistical analysis, experimental design, survey methodology, and behavioral data analysis.

• Strong data analysis skills using tools such as SQL and Python.

• Exceptional written and verbal communication skills, with the ability to influence decision-making at all levels.

• Proven experience leading quantitative research projects that have made a lasting impact on product and design decisions.

• Experience working with senior stakeholders.

• A drive for excellence and the ability to consistently raise the bar.

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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Data Scientist, Business

Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $255K – $405K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth.

About the Role

As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products.

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:

• Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products.

• Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement.

• Proactively surface insights and opportunities to drive engagement and growth.

• Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses.

• Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them.

• Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization

You might thrive in this role if you have:

• At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations.

• Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.

• Proficiency in quantitative programming languages, such as Python and R.

• Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.

• Experience using business intelligence tools, such as Mode, Tableau, and Looker.

• Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.

• Ability to build relationships with diverse stakeholders and cultivate strong partnerships.

• Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.

• Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.

• Best-in-class attention to detail and unwavering commitment to accuracy.

• Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.

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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