As a technical product designer, you will work closely with our customers and partners to create innovative products that meet their needs. Your tasks will include creating 3D CAD models of individual parts and assemblies, drafting drawings of components and assemblies, conducting tolerance analyses, documenting development steps, creating assembly instructions, and coordinating with customers and suppliers.

To succeed in this role, you should have a good understanding of technical concepts, be able to communicate effectively, and have a strong attention to detail. You should also be able to work independently and as part of a team.

We offer a dynamic and supportive work environment, opportunities for professional growth and development, and a competitive salary and benefits package.

If you are interested in this exciting opportunity, please submit your application with your resume and a cover letter outlining your qualifications and experience.

Please note that this position is also suitable for individuals with disabilities.

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Your contribution will have an impact that extends beyond individual projects, shaping the way engineering works, develops and remains efficient at AVL Powertrain Engineering in the long term.

Responsibilities: Analysis of large amounts of data and derivation of relevant insights Development and implementation of ML and statistical algorithms Application of modern data science methods for process and efficiency optimization Building models for structured and unstructured data Creating visualizations and dashboards for data-driven decisions Collaborating with engineering and specialist departments to identify potential Ensuring data quality and best practice standards Providing technical support in pre-sales phases and customer projects

Profile: Completed education (University, University of Technology, University of Applied Sciences) with a focus on mathematics, statistics, computer science or related fields At least 3–5 years of professional experience in data science, industrial ML use cases or related areas Confident use of Python/R/Scala and ML frameworks (e.g. TensorFlow, Spark) Knowledge of statistical modeling and data analysis Experience in building machine learning models Analytical and conceptual thinking, as well as the ability to communicate technical insights to different stakeholders in an understandable way Strong problem-solving skills and high quality awareness Strong communication and teamwork skills, as well as strong organizational skills Very good English skills, German skills are an advantage or at least a willingness to learn German Willingness to travel up to 10 percent of the time (mainly Croatia)

We Offer: Various working time models, flextime and the possibility of working from home Employee discounts for various offers and services Company sports club with more than 30 sections and regular sports events/trips 80% subsidy for public transportation costs or access to a personal parking space Attractive bike leasing program

Annual Remuneration: Due to the Austrian Equal Treatment Act we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: €61,000.00.

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Your role will involve analyzing large datasets, developing and implementing machine learning algorithms, and creating visualizations and dashboards for data-driven decision-making. You will also collaborate with engineering and other departments to identify opportunities for improvement and ensure data quality and best practices.

We offer a range of benefits, including flexible working hours, a 80% public transportation reimbursement, and a comprehensive health insurance plan. Our company culture values diversity, equality, and inclusion, and we strive to create a workplace where everyone feels welcome and valued.

If you are interested in this opportunity, please submit your application through our online portal. We look forward to hearing from you!

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Analyzing and evaluating hardware architectures Supporting tests of electronic prototypes Developing circuit diagrams and layouts for microcontrollers, power supplies, output stages, and CAN/Ethernet interfaces Using AI-based tools to automate review processes Programming microcontrollers

You will have the opportunity to gain practical experience in modern development processes for vehicle control systems and electronics. You will be part of a team that works on high-innovative projects in the areas of e-mobility, ADAS/AD, and software development.

AVL offers a dynamic and innovative work environment with opportunities for professional growth and development. We offer a competitive salary and benefits package, as well as a wide range of training and development programs.

If you are interested in working in a fast-paced and dynamic environment, and are looking for a challenging and rewarding career opportunity, we encourage you to apply for this position.

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Dynamic and innovative work environment
• Wide range of training and development programs
• Mobile work options, flexible working hours, and modern working conditions

We are an equal opportunities employer and welcome applications from all qualified candidates.

Please note that this is a temporary position, and the duration of the contract will be discussed during the interview process.

Required skills:

• Bachelor's degree in electrical engineering, mechatronics, or a related field
• Good knowledge of control electronics and related components
• Analytical thinking and problem-solving skills
• Excellent communication and teamwork skills
• Proficiency in programming languages such as C, C++, or Python
• Experience with AI-based tools and machine learning algorithms

Preferred skills:

• Experience with embedded systems and microcontrollers
• Knowledge of automotive electronics and systems
• Familiarity with simulation tools and modeling software
• Experience with version control systems such as Git
• Certification in areas such as automotive electronics, control systems, or software development

If you are interested in this position, please submit your application, including your resume, cover letter, and any relevant certificates or references. We look forward to hearing from you!

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Key responsibilities include:

• Translating business requirements into clear product or functional specifications
• Collaborating effectively with cross-functional stakeholders and ensuring technical alignment across teams
• Providing foundational cloud architecture expertise across major platforms (AWS, Azure)
• Guiding architectural decisions with strong analytical, problem-solving, and risk-management skills

The ideal candidate will have:

• 2-4 years of experience in Business Engineering, Product Management, or a similar role
• Experience with digital product development and/or cloud- and web-based applications
• Good understanding of agile software development lifecycles
• Solid understanding of ASPICE standards and the V-Cycle development process
• Strong analytical and conceptual thinking skills
• Experience with system engineering, architecture decision frameworks, and modeling methods
• Ability to communicate effectively in written and spoken English

In return, MHP offers a dynamic and supportive environment where you can continuously grow with your projects and objectives. You will be part of a strong team spirit, welcomed with curiosity, creativity, and unconventional thinking patterns. MHP values diversity and recognizes the importance of healthy, tight-knit communities and sustainable environmental changes.

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To be successful in this role, you should have a strong background in vehicle technology, mechanical engineering, mechatronics, electrical engineering, or a related field. You should also have basic knowledge of system modeling, control engineering, or signal processing. Analytical, structured, and independent work habits are essential, as well as an interest in technical and scientific questions. Additionally, you should have experience with model building and system analysis, as well as knowledge of regulation and observer theory (foundations).

As a part-time student assistant, you will work approximately 20 hours per week during the semester. You will be integrated into our team and contribute to the development of innovative solutions. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.

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

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Your tasks will include:

• Advisory on comprehensive quality management – starting with digitalization strategies, through innovative concepts for planning, securing, and guiding quality to the use of new technologies
• Responsibility for integrating quality management with adjacent areas – especially purchasing, production, maintenance, controlling, finance, sales, and logistics
• Analysis of customer requirements and development of concepts based on SAP S/4HANA and SAP Cloud components
• Development of customized quality management processes for our customers as a solution architect, both process- and IT-side
• Internal further development of MHP SAP AddOns in the QM portfolio extension of our services

To be well-prepared for your path as a senior consultant, you should have the following qualifications:

• Completed studies and at least 2.5 years of professional experience in consulting or in-house consulting with a focus on SAP QM
• Passion for quality management processes and their modeling and optimization
• Expertise in applying and implementing, including customizing, the SAP solution component SAP QM, as well as in the S/4HANA environment. Experience in integrating with one or more of the following areas is desirable: EWM, DM, SD, MM, PM, PP, or FI/CO
• Your way of working is characterized by appearing as a trusted advisor both towards the customer and internally at MHP and is marked by strong analytical, conceptual, and problem-solving skills

Before departure:

• Start date: after agreement – always at the beginning of a month
• Working hours: full-time (40 hours); 30 vacation days
• Employment relationship: Unlimited
• Field: Consulting
• Language: Secure German and English
• Flexibility and travel readiness
• Other: Valid work permit; if necessary, we can apply for the work permit within our recruitment process. The procedure takes time and affects the start date

As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the industry, with a global presence and a team of over 4,000 experts.

At MHP, you will find a dynamic and supportive work environment that encourages growth and development. We offer a range of benefits, including flexible working hours, a comprehensive training program, and opportunities for professional development. Join us and take the first step towards a successful career in consulting.

If you are interested in this opportunity, please submit your application through our job locator. We look forward to hearing from you!

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You will be part of a controlling team that lives active collaboration. Whether monthly closing, budget planning, or forecasting, we all work together to support informed decisions across the entire company. New colleagues are integrated into diverse tasks and projects.

You can expect a modern working environment with digital internal controlling systems. You will work on creating reports, analyses, and recommendations and gain comprehensive insights into our company's financial management. At the same time, you will actively shape how we develop processes and create transparency across all business areas.

At Porsche, you will contribute to making the fascination of Porsche visible in numbers. You will analyze business economic developments, support departments with reliable data, and shape the financial management of the company with your engagement. You will transport values such as precision, professionalism, and teamwork into every task.

If you combine analytical strength with structured work, enjoy taking responsibility, and are enthusiastic about shaping one of the world's strongest brands, then you fit perfectly into our team.

Your tasks will include:

• Monthly closing according to HGB in close coordination with accounting
• Consolidation of Porsche Niederlassung results
• Creation and analysis of KPIs
• Integration of closing results into corporate systems
• Corporate reporting
• Preparation of results for management
• Creation of evaluations for decision-making documents
• Ad-hoc analyses for all cost centers in the company
• Sparring partner for management
• Budget, forecast, and monthly prognosis
• Contact person for auditors and stakeholders
• Project development and support
• Contribution to Corporate Development
• Reconciliation of sales provisions
• Reconciliation of aftersales premiums
• Care of Sharepoint
• Scenario calculations (best case/worst case)
• Liquidity analysis and ensuring
• Digitalization and automation of processes

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The ideal candidate will have a strong background in industrial engineering, production planning, or a related field, with at least five years of experience in the industry or in management consulting. You will have a proven track record of delivering cost savings and process improvements, and excellent analytical and communication skills.

We offer a competitive salary and benefits package, including a generous pension scheme, flexible working hours, and opportunities for professional development and growth. If you are a motivated and experienced professional looking for a new challenge, please submit your application.

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Your tasks will include:

• Advising customers from various industries on the strategic alignment, further development, and operationalization of product development - from vision to sustainable implementation
• Accompanying the development of target images for the product development system of tomorrow and deriving concrete digital transformation paths
• Supporting the conception and implementation of strategies for the use of artificial intelligence in product development
• Project management in classical and agile environments and accompanying workshops with our customers from design to execution and moderation
• Co-shaping sales and acquisition activities as well as evaluating new technologies and trends

To be well-prepared for your path as a Senior Consultant Future Product Development, you should have the following qualifications:

• Completed studies and at least 1 year of professional experience, preferably in consulting with a focus on product development
• Expertise in the field of mechatronic/software-driven product development and digitalization
• Passion for innovations, technologies, and methods in the product development environment supplemented by data evaluation (e.g. using Python)
• Your way of working is characterized by very good communication and presentation skills, structure, self-motivation, analytical thinking, and strong team skills
• Skills in and understanding of modeling (UML, SysML, etc.) are an advantage

Important information before departure:

• Start: after agreement - always at the beginning of a month
• Working hours: full-time (40h) & 30 vacation days
• Employment relationship: unlimited
• Field of work: Consulting
• Language: fluent German and English
• Flexibility and willingness to travel
• Other: valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date

As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the industry, with over 4,500 employees worldwide. MHP's mission is to drive excellence and sustainable success, and the company is committed to continuously improving its services and products to meet the evolving needs of its customers.

At MHP, you will have the opportunity to grow professionally and personally, with a focus on innovation and collaboration. Our team is passionate about delivering exceptional results and making a positive impact on our customers' businesses. We offer a dynamic and supportive work environment, with opportunities for professional development and growth. If you are looking for a challenging and rewarding career, join our team at MHP.

Benefits:

• Recognition: We appreciate and support our colleagues as they are and celebrate our successes together.
• Creativity: We welcome creativity and new ideas.
• Flexibility: Your working style is flexible, both in terms of time and location, adapted to the project requirements.
• Growth: You have the opportunity to grow in your tasks, knowledge, and responsibility.

For more information on our benefits, please visit our website.

How to apply:

Please submit your application as soon as possible. You can easily do this online through our Job Locator. There, you can upload your application documents, such as your resume, certificates, and possibly project lists, in just a few clicks. A cover letter is not required.

Note: If your application reaches us, our recruiting team will review it across departments to see if there is a suitable position for you. Regardless of current job postings, we try to find the best fit for you at MHP.

Contact:

If you have any questions, please check our FAQs on our Career website.

For further inquiries, please contact our Recruiting Team at +49 (0)7141 7856 1600.

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Your responsibilities will include designing, developing, and maintaining business solutions using the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). You will build and enhance both model-driven and canvas Power Apps that align with business requirements. Additionally, you will develop and configure Dynamics 365 solutions, working with out-of-the-box capabilities as well as custom extensions.

You will also implement business process automation with Power Automate, including integrations with D365 and external systems. Furthermore, you will design and maintain Power BI dashboards and reports that enable data-driven decision making. You will support data and document migration activities for Dynamics 365 and Dataverse.

You will participate in requirements workshops and translate business needs into technical solutions. You will collaborate with cross-functional and international teams in a SAFe/Agile environment. You will ensure solution quality, security, performance, and maintainability by following best practices.

You will provide technical input, documentation, and support throughout the solution lifecycle. You will act as a trusted technical contributor for customers and internal stakeholders.

To succeed in this role, you will need to have successfully completed a Bachelor's or Master's degree in Information Technology or an equivalent education. You will also need to have at least 2–5 years of experience developing solutions with Microsoft Power Platform and/or Dynamics 365.

You will need to have hands-on experience with Power Apps (model-driven and/or canvas), Power Automate, Dataverse, Power BI, and Power Virtual Agents. You will also need to be experienced in configuring and customizing Dynamics 365, whether on-premises or in the cloud.

You will need to have a solid understanding of ETL concepts, data modeling, and system integrations. You will also need to have worked with Dynamics 365 integrations and data exchange between systems.

You will need to be familiar with licensing concepts for both the Power Platform and Dynamics 365. You will also need to be able to explain technical solutions in clear, business-friendly language.

You will demonstrate strong analytical, problem-solving, and organizational skills. You will speak English fluently, and German is considered an advantage.

You will communicate effectively, collaborate well in teams, and have a strong commitment to delivering high-quality engineering services to customers.

You are willing to travel when required.

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Your responsibilities will include:

• Providing analytical support for financial planning and budgeting
• Assisting in the development and implementation of financial models and forecasts
• Analyzing financial data and providing insights to inform business decisions
• Collaborating with cross-functional teams to identify and mitigate financial risks
• Developing and maintaining relationships with external partners and stakeholders

We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is committed to excellence and innovation, and we are looking for talented individuals who share our values and passion for finance.

Duration: 6 months

Start date: As soon as possible

Salary: Competitive salary and benefits package

Requirements:

• Bachelor's degree in Finance, Accounting, or related field
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and collaboratively as part of a team
• Proficiency in Microsoft Office, particularly Excel

Preferred qualifications:

• Master's degree in Finance or related field
• Experience in corporate finance or treasury
• Knowledge of financial modeling and forecasting techniques
• Familiarity with financial data analysis tools and software

If you are a motivated and detail-oriented individual with a passion for finance, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you!

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Key responsibilities include designing, developing, and maintaining business solutions using the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), building and enhancing both model-driven and canvas Power Apps, developing and configuring Dynamics 365 solutions, implementing business process automation with Power Automate, and supporting data and document migration activities for Dynamics 365 and Dataverse.

The ideal candidate will have successfully completed a Bachelor's or Master's degree in Information Technology or an equivalent education, with at least 2–5 years of experience developing solutions with Microsoft Power Platform and/or Dynamics 365. They will also have hands-on experience with Power Apps (model-driven and/or canvas), Power Automate, Dataverse, Power BI, and Power Virtual Agents, as well as a solid understanding of ETL concepts, data modeling, and system integrations.

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As a member of our team, you will be responsible for the following tasks:

• Preparing and reviewing financial statements and reports
• Analyzing financial data and identifying trends and areas for improvement
• Developing and implementing financial models and forecasts
• Collaborating with cross-functional teams to drive business decisions

We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is committed to excellence and innovation, and we are looking for someone who shares our values.

The position is available for 3-6 months, starting in August. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.

If you are a motivated and detail-oriented individual with a passion for finance, we encourage you to apply for this exciting opportunity!

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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. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

Job Purpose: The Service Technical IT Applications unit is seeking a highly motivated, team-oriented, and customer-focused Technical Program Manager. This leadership role encompasses responsibility for overseeing programs and portfolio comprising of numerous critical applications. This position involves providing delivery and technical leadership and guiding the delivery team to ensure alignment with unit, department, divisional, and AHM business unit objectives. The Team Manager will oversee multiple projects, including business transformation initiatives utilizing modern technology and SaaS platforms for the Service division and working with global teams.

Key Accountabilities:

• Vision & Strategy:

Lead the IT team to support the Service and Planning business unit with their business application needs.

• Build and maintain high performing IT teams:

Foster associate development and long-term capability by teaching, coaching and mentoring, integrated with consistent and effective individual performance Management

• Achieve the project goals for the Team:

As approved annually, including schedule, budget and quality commitments

• Provide Technical and Solution Leadership:

Design business and technical solutions and provide solution architecture oversight.

• Promote IT and its capabilities:

Build NA relationships and network to achieve trust and credibility, by discovering and meeting the needs of internal and external customers

Qualifications, Experience, and Skills:

• IT / Computer Science related Bachelor Degree and/or equivalent work experience
• 8 or more years in Information Technology/Information Services
• 5 or more years supervisory, resource management, vendor management experience
• 5 or more years experience supporting IT Delivery, preferably in automotive industry
• 5 or more years experience managing and delivering large/ multiple projects, platforms, and products
• Must have strong project management skills to manage deadlines while delivering quality results, on time, on budget
• Experience managing teams with differing priorities and levels of expertise;
• Strong written and presentation skills and ability to effectively communicate at all levels of the organization
• Strong problem-solving and root cause analysis skills
• Working experience with estimation, planning, developing and managing a budget,
• People management, team building, coaching, mentoring, development, negotiations, conflict resolution, and strong interpersonal skills.
• Strong experience in vendor management, contracts management, SOW, RFP & RFQ process
• In-depth demonstrable knowledge of applicable SOX, PII, data privacy practices, security, and governance
• Experience leading multiple software development and implementation teams (Microsoft, Salesforce, Enterprise software etc)
• Experience in designing solutions and providing technical architecture oversight
• Experience as a leader for solution and business architecture, provide direction and oversight of design, methodologies, tooling, partnerships, and support models.
• Experience in performing modeling, gap analysis, and crafting architecture artifacts, such as context diagrams, data flow diagrams, business capability roadmaps.
• Experience in working with Architecture Review Board.
• Experience in leading the technical workstream for critical projects

Workstyle:

• Onsite at least 4 days per workweek. 1 remote workday a week may be possible with prior departmental approval.

Visa sponsorship issues:

• This position is not eligible for any work visa sponsorship.

Relocation assistance:

• Not eligible

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.)
• Regional Bonus (when applicable)
• Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401(K) Plan with company match + additional contribution

Career Growth:

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

Additional Offerings:

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

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The successful candidate will serve as the primary bridge between Business Units, Global IT, and Control Tower Operations, ensuring shared understanding of data practices, workflows, and requirements. They will apply established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management.

Key responsibilities include:

• Supporting the implementation and ongoing maintenance of ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units
• Applying established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management
• Serving as the enterprise subject-matter authority for ontology-related topics, providing recommendations and guidance to governance and leadership forums
• Collaborating with Global IT and enterprise data architecture to ensure ontology practices align with enterprise data platforms and Control Tower operational processes

• Partnering with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontology-aligned data structures
• Guiding Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes
• Enabling repeatable onboarding of Business Unit data into AI initiatives, reducing reliance on ad-hoc IT engagement and minimizing duplicated effort

• Serving as a liaison between Business Units and Global IT for AI data and ontology-related matters
• Engaging with Global IT teams to understand enterprise data platforms, workflows, standards, and operational constraints
• Translating Global IT practices, requirements, and workflows into clear, actionable guidance for Business Unit data stewards

• Educating, guiding, and supporting Business Unit data stewards on their roles in data governance, ontology contribution, and AI data enablement
• Supporting the development and documentation of workflows, expectations, and operating models for how BU data stewards engage with the Control Tower and Global IT

• Ensuring Business Unit Data Stewards understand how to prepare, govern, and submit data assets for ontology integration and AI use
• Promoting consistent adoption of governance, quality, and semantic standards across Business Units

• Supporting integration of data and ontology enablement into Control Tower workflows
• Providing operational insight into data readiness, semantic risks, and governance gaps to inform Control Tower decision-making
• Identifying systemic issues and contributing recommendations to drive continuous improvement of data enablement processes

• Ensuring semantic integrity, data quality, lineage, and consistency are maintained as data assets flow into AI solutions
• Identifying systemic issues and recommending continuous improvement opportunities to Control Tower Operations leadership
• Influencing corrective actions, tooling investments, or governance updates to mitigate long-term risk

This role requires a minimum of 10 years of relevant work experience in data architecture, data governance, ontology development, semantic modeling, or related disciplines, supporting cross-functional initiatives spanning multiple business units and IT organizations.

The ideal candidate will have in-depth expertise in ontology design, semantic modeling, and domain-driven data architecture, as well as experience contributing to the development and implementation of data and ontology strategies. They will also have demonstrated experience serving as a bridge between business stakeholders and IT organizations, with a strong ability to translate technical platforms, workflows, and constraints into business-understandable guidance.

A Bachelor's level degree or diploma in Computer Science, Data Science/Engineering, Applied Mathematics/Statistics, Electronics/Electrical, Information Technology/Information Sciences, or a related field of study is required. A Master's or Ph.D. degree is preferred.

The successful candidate will be comfortable operating in ambiguous, evolving environments with enterprise-level impact, and will have a systems-thinking mindset with understanding of AI, analytics, and enterprise data platforms.

Highly desirable skills include proficiency in OWL (Web Ontology Language), RDF/RDFS – graph-based data model, storage in graph databases such as Neo4j or Amazon Neptune, and querying using SPARQL for RDF-based ontologies.

This is an onsite job based at our ADC, Raymond, OH office. One telecommuting workday per week may be possible with prior departmental approval.

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At bunq, we believe that modern, sophisticated 3D motion is critical to building trust and showing our users that we are a cutting-edge service.

We’re looking for a true owner to lead this transformation, build a world class motion design system from the ground up, and set a new standard for creative excellence.

This isn't just about making things look good; it's about architecting the future of our visual brand.

Take ownership

As the owner of our 3D motion design system, you are the guardian of our visual quality. You'll solve the critical problem of how to modernize our brand and produce world-class creatives at scale, ensuring every visual builds trust with our users.

Key responsibilities:

• Set the Vision: Define and execute the strategy to evolve our visual language from 2D to a premium, sophisticated 3D motion system that stands out.

• Architect the System: Design, document, and maintain a reusable motion/3D framework (rules, templates, primitives) that empowers other designers to produce consistent, high-quality work with speed and ease.

• Lead with Craft: Get hands on to create stunning 3D product animations, from modeling and lighting to the final render, for our key marketing touchpoints, setting the quality bar for the entire organization.

• Pioneer Smart Automation: Integrate AI powered tools and automated workflows into our creative process to eliminate repetitive manual work, allowing us to scale excellence, not just output.

Requirements:

• Master of 3D craft: Expert level, hands on proficiency in modeling, shading, lighting, and rendering products with photorealistic materials and studio grade quality.

• Deep knowledge of premium motion: A portfolio that shows your experience in camera movement, timing, and easing to create calm, sophisticated motion without visual noise.

• Proven system-builder: You can define, document, and scale a reusable motion design system. You think in frameworks, not just one off projects.

• AI-first mindset: You possess a forward thinking approach to integrating AI workflows into the design process to boost efficiency and amplify creative quality.

• True ownership mentality: You're a proactive problem solver who can identify strategic gaps and build a structured plan to execute a creative vision.

Your space to perform

We give you the space and the tools you need to succeed

• Great, international colleagues who share your mindset

• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.

• We support growth with bunq Academy and €1500 annual learning budget

• A massive discount with Urban Sports Club for your wellbeing (in the Netherlands)

• A Multisport gym card for your health and wellbeing (in Turkey)

• Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.

• Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ) (In Turkey and Netherlands)

• Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration

• We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.

• A MacBook so you can Get Shit Done with us

• Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options

• An optional pension plan with monthly contribution from bunq (in Netherlands)

• Private health insurance, just in case (in Turkey or Bulgaria)

• Monthly contribution to your phone and internet bills (in Turkey and Netherlands)

• Friday drinks and other celebrations - bunq style

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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 team fosters a collaborative environment and is building a best-in-class program to partner with the business to protect the Firm’s information and computer systems. Millennium is a complex and robust technical environment and securing the Firm from external and internal threats is a top priority.

Responsibilities

• Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.
• Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).
• Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.
• Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.
• Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.
• Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.
• Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.
• 5+ years’ experience working as an Application Security Engineer, Software Engineer, or similar role.
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.
• Experience working with AI models, Agentic frameworks and security risks associated with AI.
• Experience in working with global teams, collaborating on code and presentations.
• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies.
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus.
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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Responsibilities:

• Lead a wide range of projects involving the design and implementation of strategies to reduce trading costs for delta-one and factor products.
• Monitor and manage risks within company guidelines and risk parameters, including operational, portfolio, financing, and basis risk.
• Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications:

• 6+ years in a trading or execution role.
• Bachelor's degree in Mathematics, Physics, Finance, Economics, Econometrics, Financial Engineering, Operations Research, or similar.
• Experience with factor modeling, transaction cost analysis (TCA) models, statistical modeling, and portfolio analytics.
• Strong operational and event risk management skills; experience managing systematic strategies; familiarity with equity markets/asset classes.
• Familiarity with ETFs, futures, swaps, and vanilla derivatives is a plus (and can be learned on the desk).
• Self-sufficient programming ability in Python and/or kdb+ for analysis and research, plus Git, Unix/Linux, Bash, etc.
• Strong communication skills and the ability to work effectively in a team environment.

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. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

XML job scraping automation by YubHub

You will work directly with the CFO and founders to shape Holidu's financial architecture and capital allocation, ensuring the company is optimally structured to support growth, operational efficiency, and future financing initiatives.

Responsibilities:

• Capital structure and treasury: Optimize capital structure, cash planning and debt financing (including working capital facilities) to drive long-term financial sustainability
• M&A: Lead financial and tax due diligence and support post-acquisition financial integrations
• Corporate tax strategy: Oversee corporate tax planning together with external advisors; oversee transfer pricing policies and intercompany structures (including VAT treatment)
• Investor and board reporting: Support investor/board materials preparation and fundraising
• Drive strategic initiatives: Partner with management on high-impact strategic projects including M&A (post-merger financial integration, tax structuring), strategic partnerships, business model innovation, and international expansion (legal entity setup, local compliance, and contracting)

Qualifications:

• 8+ years of experience in corporate finance, investment banking, or VC/PE, and ideally within high-growth companies
• Strong commercial acumen applied to financial decision-making
• Exceptional financial modeling, valuation, and scenario analysis skills, with the ability to influence management and cross-functional stakeholders through clear, data-driven insights
• Experience coordinating cross-functional projects including significant external advisor involvement
• Business proficiency in English (written and spoken)
• Experience supporting or leading fundraising and/or M&A transactions is valued
• Experience in procurement is valued
• Experience in a tech scale-up or SaaS business model is valued

Our adventure includes:

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

As a member of our team, you will be part of a dynamic and international group of colleagues who challenge and support each other. You will learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship and personal learning budgets.

In this role, you will have the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts. You will be part of a culture that thrives on curiosity and feedback, and you will have the chance to grow professionally in a rapidly evolving industry.

Responsibilities:

• Play a vital role within the M&A department to drive our strategic acquisitions
• Identify and evaluate the most promising opportunities for M&A
• Support in due diligence processes
• Take hands-on responsibility in different post-merger integration work streams

Requirements:

• Currently enrolled in a university program with an excellent academic background (top 20%) in business or technical studies
• Previous experiences in start-ups, consulting, or corporate finance are a plus
• Strong sense of responsibility and a confident self-starter
• Able to prioritize and handle multiple tasks simultaneously
• Analytical skills with strong attention to detail and a pragmatic approach to solving problems
• Excellent communication skills and a strong motivation to grow personally
• Excellent English skills. Any further European language is a plus

Perks:

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts
• Learning: Grow professionally in a culture that thrives on curiosity and feedback
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other
• Technology: Work in a modern tech environment
• Flexibility: Work in a hybrid setup with 50%+ in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations

XML job scraping automation by YubHub

Your tasks and responsibilities will include: Transforming weekly performance data into concise, executive-ready performance drivers and drags that explain why sales moved and what the immediate next step should be. Trend identification: highlighting emerging consumer search patterns before they become mainstream. Analyzing Amazon Brand Analytics and profitero and Circana data to understand consumer performance and market share performance. Conducting post-event deep dives for tentpole events (e.g., Prime Day, Black Friday) to measure ROI and inform future forecasting, promo depth, and participation. Monitoring competitor pricing moves and in-market performance to highlight any action that needs to be taken. Conversion optimization: monitoring the Buy Box and Glance Views to alert the Sales team of any traffic drops or conversion leaks that require immediate action. Consumer sentiment analysis: monitoring review counts and star ratings to provide Sales with feedback on product quality or Frequently Bought Together trends. Dashboard ownership: designing and maintaining automated sales reporting frameworks using Power BI, Tableau, Excel, and any new reporting tools. KPI management: defining and monitoring critical metrics, including Topline Sales, Glance Views, Conversion Rate (CR), Subscription, Profitability, and additional priority KPIs. Standardized reporting: delivering weekly, monthly, and quarterly business reviews to sales team and key internal stakeholders, highlighting Wins and Opportunities based on sales volume and market share. New item launches: creating the Launch Blueprint for new SKUs, using historical category data to set realistic sales targets and advertising benchmarks. Tracking competitor out-of-stock events, pricing, or promotional changes to provide Sales with live-time opportunities/challenges.

To succeed in this role, you will need: A bachelor's degree in Business, Finance, Economics, Statistics, or a related analytical field. 2-4+ years of experience in e-commerce analytics, retail, or a CPG environment. Advanced Excel skills, including pivot tables, VLOOKUP/XLOOKUP, and complex data modeling. Proven experience building dashboards in Power BI or Tableau. A sales-first mindset, with the ability to see a data point and immediately translate it into a revenue-generating idea. Agility, with comfort working in a fast-paced environment where data is needed quickly. Experience with third-party Amazon tools, such as Pacvue, Helium10, CommerceIQ, Stackline, NielsenIQ, Profitero, or similar tools. Amazon fluency, with expertise in Vendor Central and familiarity with Amazon Marketing Cloud.

As an Associate Manager, Amazon Insights and Analytics, you can expect to be paid a salary of approximately $115-173k, with additional compensation possible through a bonus or incentive program. Benefits include health care, vision, dental, retirement, PTO, sick leave, and more.

If you're interested in joining our team and contributing to our mission of Health for all, Hunger for none, please apply now.

XML job scraping automation by YubHub

Communicating Between Technical and Non-Technical Colleagues

As a Staff Data Engineer, you will communicate effectively with technical and non-technical stakeholders, support and host discussions within a multidisciplinary team, and be an advocate for the team externally.

Data Analysis and Synthesis

You will undertake data profiling and source system analysis, present clear insights to colleagues to support the end use of the data.

Data Development Process

You will design, build and test data products that are complex or large scale, build teams to complete data integration services.

Data Innovation

You will understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage.

Data Integration Design

You will select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines.

Data Modeling

You will produce relevant data models across multiple subject areas, explain which models to use for which purpose, understand industry-recognised data modelling patterns and standards, and when to apply them, compare and align different data models.

Metadata Management

You will design an appropriate metadata repository and present changes to existing metadata repositories, understand a range of tools for storing and working with metadata, provide oversight and advice to more inexperienced members of the team.

Problem Resolution

You will respond to problems in databases, data processes, data products and services as they occur, initiate actions, monitor services and identify trends to resolve problems, determine the appropriate remedy and assist with its implementation, and with preventative measures.

Programming and Build

You will use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, collaborate with others to review specifications where appropriate.

Technical Understanding

You will understand the core technical concepts related to the role, and apply them with guidance.

Testing

You will review requirements and specifications, and define test conditions, identify issues and risks associated with work, analyse and report test activities and results.

XML job scraping automation by YubHub

Our Markets business is one of the largest of its kind in the world, combining sophisticated 24-hour global coverage with a detailed knowledge of local markets. We specialise in foreign exchange, credits and rates, structured derivatives, equities and debt, equity and equity-linked capital markets.

Key roles and responsibilities:

• Explore highly detailed company analysis and gain a wider, macro level view on the sector.
• Leverage primary and secondary research skills to build and maintain industry models.
• Assist in building and maintenance of company financial models.
• Produce quality research products such as industry thematic, company initiation and cover periodical updates on the sector.
• Identify key industry trends and exciting investment ideas within your research scope.

Key requirements for the role:

• 2-5 years of work-experience in sell-side equity research.
• Past research experience covering Metals & Mining and Cement sector will be preferred.
• Excellent communications skills along with fluency in English language.
• Educational qualifications: CA/CFA/MBA from Tier I Institutions.
• Strong team ethics, entrepreneurial mindset and, desire to work within a fast-paced environment.

XML job scraping automation by YubHub

Principal Responsibilities: The role holder will conduct customer strategy analysis focusing on acquisition, activation, retention, conversion, and LTV, and deliver actionable insights. Build and maintain customer segmentation frameworks to support targeted and personalized marketing and operations. Leverage advanced data analytics tools and methodologies to develop, validate, and optimize predictive models, contributing to generate high-quality leads. Analyze customer journey, conversion funnels, and drop-off points to identify bottlenecks and recommend experience improvements. Evaluate the performance of marketing campaigns, membership programs, loyalty initiatives, and promotional strategies by measuring ROI, conversion rate, and engagement metrics. Partner with product, marketing, operations, and customer teams to translate data insights into executable strategies and drive business decisions. Support the business team's campaign needs, including RM lead generation and manual SMS outreach. Develop and maintain customer-focused dashboards, KPIs, and reporting systems.

To be successful in the role, you should meet the following requirements: Minimum of 5 years' experience in one or multiple skills in data/business analytics in the financial or digital domains. Demonstrated experience in process and analysis of large amounts of data using one of these: Python, R, SQL, or SAS; on environments such as AWS, Google Cloud, or Hadoop. Knowledge and experience in AI, big data, machine learning, or predictive algorithms, statistics modeling, and data mining. Excellent communication and teamwork skills, able to collaborate effectively with different departments and stakeholders. Strong problem-solving skills and innovative thinking, able to translate complex business problems into data analytics solutions. Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses. Good English communication skills, able to collaborate effectively with domestic and international teams.

XML job scraping automation by YubHub

Within the department, we’re building a new Marketing Analytics team and are looking for a Senior Data Scientist to drive its data science initiatives. In this role, you’ll work closely with Analysts, Engineers, and Marketing stakeholders to develop and productionize advanced machine learning, statistical, and predictive models that improve marketing performance and drive measurable company growth.

As a Senior Data Scientist – Marketing, you’ll take strong ownership of data science initiatives that directly shape our marketing strategy and growth. You will:

Partner closely with Marketing, Marketing Analytics, and Marketing Technology to identify opportunities and translate business questions into scalable data science solutions.

Lead the development of high-impact machine learning and statistical models for marketing use cases such as channel allocation, ad bidding, churn prediction, lifetime value, revenue attribution, and business metrics forecasting.

Work end-to-end - from translating business questions into hypotheses to researching, building, validating, and deploying models.

Run experiments and iterate in production: design A/B tests, monitor model performance, and continuously improve based on measured impact.

Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.

Help define the team's roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.

Act as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.

We're looking for someone with 5+ years of experience as a Data Scientist, with clear ownership of projects that delivered measurable business impact. You should have a degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field, and strong expertise in machine learning, statistics, and predictive analytics, with hands-on experience using Python and SQL.

Experience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.

Additionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you'll need to work with diverse stakeholders and explain complex topics in a simple way.

AI proficiency is also a plus, as you'll be comfortable using AI to enhance coding, planning, and monitoring, and successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.

If you're excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!

XML job scraping automation by YubHub

You'll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.

As a Senior Data Scientist, you'll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:

• Translate business questions into scientific, testable models and clear recommendations.
• Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.
• Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.
• Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.
• Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.
• Monitor model performance, iterate on results, and continuously improve accuracy and relevance.
• Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.

You'll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You'll have a strong background in statistics, forecasting, and machine learning. You'll be hands-on with Python and SQL, and confident working with large datasets. You'll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).

You'll be a self-starter: proactive, hungry to learn, and eager to make an impact. You'll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.

XML job scraping automation by YubHub

Key Responsibilities:

• Drive digital transformation by leading digitalisation and automation initiatives to streamline business processes and enhance operational efficiency
• Enhance pricing infrastructure by developing and optimising pricing tools and systems, ensuring robust and scalable solutions for both indicative and live pricing of structured transactions
• Innovate products by designing and launching new structured products, including Structured Solutions, Risk Recycling, and Quantitative Investment Strategies (QIS)
• Deliver client solutions by partnering with sales and structuring teams to assess client needs and provide bespoke solutions aligned with their objectives
• Generate market analysis by creating thematic investment ideas based on evolving market conditions and trends
• Prepare pitchbooks by creating compelling marketing materials to promote proprietary indices and structured products
• Manage secondary market activities by overseeing secondary market pricing, including add-ons and unwind transactions
• Collaborate cross-functionally by working with traders and quantitative analysts to enhance pricing and back-testing infrastructure (Python and VBA)
• Provide business insight by delivering analytics and reporting to support business decision-making and strategic planning

Your Qualifications:

• Market Knowledge: Strong understanding of equity derivative fundamentals
• Analytical Excellence: Exceptional analytical, problem-solving, and decision-making skills
• Communication Skills: Outstanding verbal and written communication abilities, with a talent for explaining complex concepts clearly
• Agility Under Pressure: Ability to manage multiple priorities and perform effectively in a fast-paced, high-pressure environment
• Technical Proficiency: Experience with Python and Excel/VBA is highly desirable

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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You will join a cross-functional Product team, Search Intelligence, which is responsible for optimizing ranking and recommendations for users visiting our website.

You'll be part of the broader Data Science team, which operates across cross-functional domain teams - giving you access to shared knowledge, best practices, and collaboration opportunities beyond your domain.

You’ll collaborate daily with Data Engineers, Analysts, Product Managers, and Back-end Engineers.

You’ll report to the Team Lead, Data Science.

Together, we turn data into actionable insights and innovative technology that powers how millions of guests find and book their perfect holiday home.

Our Tech Stack

• Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow

The Ranking challenge at Holidu

Holidu lists over 4 million vacation rental properties. Our ranking and personalization systems determine which of them our 70+ million annual users see, directly impacting search conversion and business results.

What's live today:

• Multi-stage ranking pipeline: Reinforcement-learning-based cold ranking, contextual re-ranking, and personalized recommendations.

• Cold-start models for new properties with limited behavioral data.

• Personalized recommendations based on user browsing patterns.

Some of the hard problems we're solving:

• Multi-objective optimization: Balancing user relevance, conversion probability, and business value.

• Personalization without history: Most users are anonymous or first-time visitors.

• Cold-start: A significant share of our inventory is new each quarter. How do we surface quality properties before we have behavioral data?

Your role in this journey

You'll shape the ranking and recommendation systems that millions of guests rely on to find their holiday home. With access to extensive datasets and modern ML infrastructure, you'll work end-to-end - from identifying opportunities and prototyping new approaches to shipping models to production and measuring their impact.

• Develop high-impact models and improvements for our ranking, recommendation, and personalization systems - with the freedom to explore new, creative approaches.

• Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.

• Design and run A/B tests as a core part of ranking development; success is measured by successful experiments per quarter and time-to-decision.

• Collaborate closely with Product Managers and Software Engineers to identify, prioritize, and ship ranking improvements.

• Ensure model reliability in production, measured by online/offline agreement, model and data drift KPIs, latency and uptime SLAs, and automated monitoring coverage.

• Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.

• Demonstrate leadership in data science projects by driving technical direction, scoping initiatives, and guiding the team's prioritization and project execution.

Your backpack is filled with

• 5+ years of experience as a Data Scientist, with a proven track record of applying ML models to solve real business problems.

• Experience working on ranking models or recommender systems is a strong advantage.

• A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.

• Strong foundations in statistics, predictive modeling, and machine learning techniques, with hands-on experience using Python and SQL.

• Experience with Airflow and dbt is a plus.

• Solid understanding of business operations and the ability to translate data insights into clear, actionable outcomes.

• A collaborative mindset and enthusiasm for using data to build world-class products that make a real impact.

• AI Proficiency: You are comfortable using AI to enhance coding, planning, and monitoring. This includes successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.

• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.

• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.

• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

Need a sneak peek? Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!

Want to travel with us?

Apply online on our careers page! Your first travel contact will be Lucia from HR.

XML job scraping automation by YubHub

Ideally, you will have 6+ years of financial analysis experience working directly in a Corporate Finance or a Strategic Finance role, with 2 years of investment banking or top-tier consulting experience. You will have demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement. You will have strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills.

The ideal candidate will be a strong communicator with excellent interpersonal skills to manage various stakeholders. You will be able to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across the organization.

XML job scraping automation by YubHub

We’re looking for a high-performing, all-rounded finance athlete to join our team and support the rapidly growing Generative AI (GenAI) business. You’ll collaborate closely with Product, Operations, Growth, and Go-to-Market leaders to bring financial rigor to decision-making, develop actionable insights that drive strategy, and build scalable systems as the business expands.

This role is ideal for someone with 4-6 years of experience in a fast-paced, high-growth environment. Someone who thrives in ambiguity, can juggle multiple workstreams, and brings a mix of analytical rigor, business acumen, and strong execution.

You will:

• Own and evolve part of the GenAI financial forecasting model, driving accuracy and insight across planning cycles
• Support reporting and performance management, including weekly and monthly reviews, consolidations, and ad hoc analyses
• Partner with GenAI leadership and cross functional teams to evaluate and execute key strategic and operational initiatives that scale the business multifold
• Conduct financial analyses and build business cases for new products, partnerships, and investments
• Collaborate with Accounting, and Corporate Finance to improve close, reporting, and planning cadences
• Continuously improve financial processes and systems to enhance scalability, forecast precision, and data visibility

Ideally, you'd have:

• 4–6 years of experience in Strategic Finance, FP&A, or Business Operations, ideally within a high-growth technology company
• 2 years of investment banking experience at a top-tier firm
• Strong analytical and financial modeling skills; ability to translate complex data into actionable insights
• Excellent communication skills, with the ability to distill complexity into clear narratives for non-finance stakeholders
• Advanced proficiency in Excel, Google Sheets, and PowerPoint; strong command of financial modeling best practices
• Experience with SQL or Business Intelligence tools (e.g., Looker, Tableau)
• Familiarity with Anaplan, Adaptive Insights, or other planning systems

Nice to haves:

• Bachelor’s degree in Finance, Accounting, Economics, Engineering, or a related field
• Prior experience supporting Product, Engineering, Growth, or Operations teams within a technology company

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As a Senior Backend Engineer, you will own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. You will build scalable services and pipelines that support agent workflows, architect modular, reusable backend systems, and operate in high-ambiguity environments.

Key responsibilities include:

• Designing and building scalable systems while partnering closely with research, product, operations, and other engineering teams
• Building scalable services and pipelines that support agent workflows
• Architecting modular, reusable backend systems that adapt to evolving product needs
• Operating in high-ambiguity environments and breaking down open-ended problems
• Partnering cross-functionally with product, research/ML, and infrastructure teams

Ideal experience includes 5+ years of full-time software engineering experience, strong backend engineering fundamentals, and experience building systems that scale.

Compensation packages at Scale 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.

Additional benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.

Responsibilities:

• Design and implement software solutions for the public sector
• Work closely with cross-functional teams to develop and deploy software applications
• Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs
• Develop and maintain software documentation
• Participate in code reviews and ensure that code meets quality standards

Requirements:

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in software development
• Proficiency in programming languages such as Java, Python, or C++
• Experience with Agile development methodologies
• Strong understanding of software design patterns and principles
• Excellent communication and collaboration skills

Preferred Qualifications:

• Master's degree in Computer Science or related field
• 10+ years of experience in software development
• Experience with cloud-based technologies such as AWS or Azure
• Experience with DevOps practices

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

Salary Range: $252,000-$362,000 USD

Required Skills:

• Full Stack Development
• Cloud-Native Technologies
• Data Engineering
• AI Application Integration
• Problem Solving
• Collaboration and Communication
• Adaptability and Learning Agility

Preferred Skills:

• Experience with modern web development frameworks
• Familiarity with cloud platforms
• Understanding of containerization and container orchestration
• Knowledge of ETL processes
• Understanding of data modeling, data warehousing, and data governance principles
• Familiarity with integrating Large Language Models

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You will develop and execute financial strategies to support Scale growth objectives, including capital raising, strategic and financial planning, and budgeting. You will create internal executive reporting, including close, financial reporting, board, investor reporting, and other management presentations.

You will be a thought partner to all business leaders and help resolve competing business priorities and determine proper investment allocation by department and Business Unit. You will lead the preparation of financial analysis, business insights, and presentation materials for regular financial and business updates to the leadership team.

You will lead, grow, and develop a team of high-performing finance professionals. You will partner with accounting to support month-end close, flux review processes, and deliver high-quality financial reporting.

You will own and create financial models, including forecasting, budgeting, and cash burn analysis. You will determine the appropriate processes, methodologies, variables, and modeling techniques to develop and deliver forecasts. You will develop reports and monitor metrics for forecasting.

You will design, automate, and optimize flexible finance processes to meet the needs of a dynamic and fast-growing business environment. You will partner with cross-functional teams to develop and prioritize strategic initiatives that drive revenue growth, cost optimization, and operational efficiency.

You will own, refine financial systems roadmap in partnership with our Business Transformation team.

Ideal candidates will have a minimum of 4+ years of financial analysis experience working directly in Corporate Finance and Strategic Finance, or a minimum of 4 years working in Investment Banking, Private Equity, Hedge Funds, or Growth Equity Funds.

Deep understanding of B2B SaaS businesses, scaling a technology business, experience improving and streamlining processes, and developing solutions to operational inefficiencies are also required.

Strong knowledge of Google Suite, MS Office, expert Excel modeling skills, and Salesforce are necessary. Strong executive presence and interpersonal skills, ability to lead discussions with the Executive Team, demonstrated ability to lead and grow a high-functioning Finance team, and deliver quality results as a team leader are also required.

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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Key Responsibilities:

• Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
• Design and experiment new approaches to preference optimization.
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
• Publish research findings in top-tier AI conferences.

Ideal Candidate:

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer-facing role.

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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Your primary responsibilities will include:

• Driving research on the effectiveness and limitations of existing LLM evaluation techniques.
• Designing and developing novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
• Communicating, collaborating, and building relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborating with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implementing scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publishing research findings in top-tier AI conferences and contributing to open-source benchmarking initiatives.
• Mentoring and guiding research scientists and engineers, providing technical leadership across cross-functional projects.
• Staying deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.

The ideal candidate will have 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development.

You will thrive in a high-energy, fast-paced startup environment and be ready to dedicate the time and effort needed to drive impactful results.

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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You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform, and emerging AI tools.

Key responsibilities include designing and developing end-to-end agent-driven workflows, building scalable data models and pipelines, partnering with stakeholders to translate business requirements into technical requirements, and collaborating with engineering teams to develop internal tools.

Ideal candidates will have 5+ years of experience in data analytics, analytics engineering, or data science roles, expert knowledge of SQL and Python, and experience building internal tools, automation systems, or data products.

Compensation packages at Scale include base salary, equity, and benefits, with a base salary range of $200,000-$250,000 USD for this full-time position in San Francisco.

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Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

Responsibilities:

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives

• Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally

• Develop new methodological approaches for studying AI's impact on:

• Labor markets and the future of work

• Productivity and task transformation

• Economic inequality and displacement

• Industry-specific disruption and adaptation

• Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios

• Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions

• Build and maintain relationships with academic institutions, policy think tanks, and other research partners

• Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection

• Translate research insights into actionable recommendations for both product decisions and policy discussions

• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have:

• PhD in Economics

• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning

• Experience relevant to the study of AI’s impact on the economy, including:

• Labor market analysis and occupational change

• Task-based approaches to technological transformation

• Large-scale data analysis and econometric methods

• Large language models for social science research

• Policy-relevant economic research

• Experimental and quasi-experimental methods for causal inference

• Macroeconomic modeling and time series forecasting

• Agent-based modeling or large-scale simulation

• Technical skills including:

• Proficiency in Python, R, SQL, or similar tools for large-scale data analysis

• Experience working with novel datasets and measurement systems

• Comfort learning new technical tools and frameworks

• Demonstrated ability to:

• Lead complex research projects from conception to publication

• Communicate technical findings to diverse audiences

• Build relationships across academic, policy, and industry communities

• Strong interest in ensuring AI development benefits humanity

• Comfort working with AI systems and ability to think critically about their capabilities and limitations

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We're seeking a Tech Lead Manager to lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs.

Key responsibilities:

• Lead a team of highly effective research scientists and research engineers on LLM evals.
• Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
• Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.

Ideal candidate has 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development. Experience supporting and leading a team of research scientists and research engineers is also required.

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This is a high-visibility, high-impact role where you'll architect and build AI-forward solutions to personalize the customer journey, optimize conversion funnels, and reduce churn. You'll partner closely with Product, Data Science, and Design to define the future of Dropbox monetization while mentoring a team of 15 engineers across experience levels.

Your work will have immediate, measurable business impact. You'll get substantial exposure to Growth leadership, shape the technical direction of a critical revenue-driving platform, and help build a best-in-class monetization engineering practice.

Responsibilities

• Lead the design and implementation of scalable, reliable systems powering Dropbox's monetization flows (checkout, trials, subscriptions, pricing)

• Define and drive the technical roadmap for Growth Monetization, aligning engineering investments with business priorities

• Architect AI/ML-powered solutions for conversion optimization, personalized offers, and predictive churn modeling

• Own end-to-end delivery of complex, cross-functional projects with direct revenue impact

• Establish engineering best practices, improve system reliability, and drive down technical debt

• Mentor engineers across the team, fostering growth and elevating technical capabilities

• Partner with Product, Data Science, and Design to translate business goals into technical solutions

Requirements

• 12+ years of software engineering experience, with 3+ years operating at a senior or staff level

• Strong full-stack engineering skills with proficiency in modern frontend frameworks (React, TypeScript) and backend technologies (Python, Go, or similar)

• Demonstrated ability to lead complex technical projects from conception through delivery

• Experience designing and scaling systems that handle high traffic and require high reliability

• Track record of influencing technical strategy and driving architectural decisions beyond immediate team scope

• Proven ability to mentor engineers and raise the technical bar across a team

• Strong product intuition and ability to balance technical excellence with business impact

Preferred Qualifications

• Experience with monetization, payments, checkout, or e-commerce platforms

• Background in growth engineering, conversion optimization, or experimentation platforms

• Familiarity with ML/AI applications in personalization or funnel optimization

• Experience with subscription-based or SaaS business models

• Prior experience at a company operating at significant scale (millions of users)

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Key responsibilities include creating and driving engineering agendas to advance multimodal capabilities, improving data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, designing evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence, implementing efficient algorithms for state-of-the-art model performance, and developing scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.

The ideal candidate will have a track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling, experience in data-driven experiment designs, systematic analysis, and iterative model debugging, experience developing or working with large-scale distributed machine learning systems, and ability to deliver optimal end-to-end user experiences.

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As a Senior Data Scientist, you will sit in the heart of a cross-functional product team and help turn messy, real-world signals into clear decisions. You will make sure we are capturing the right data, designing experiments that tell us what is actually driving outcomes, and translating findings into recommendations that teams can act on quickly.

When the insight is stable and valuable, you will help operationalize it through predictive models that improve provider and patient experiences.

Key responsibilities include:

• Being the analytics partner inside the pod, working closely with Product, Engineering, Design, Ops, and Clinical stakeholders to define questions, metrics, guardrails, and decision rules.
• Running rigorous experiments, designing and analyzing A/B tests and quasi-experiments with clear hypotheses, power considerations, and pre-defined success criteria.
• Connecting behavior to strategy, using funnel, cohort, segmentation, and lifecycle analysis to understand how people and providers experience Headway, and where product changes will have the biggest impact.
• Using causal inference when experiments are not possible, applying approaches like diff-in-diff, matching, and regression-based designs with principled uncertainty quantification.
• Building models when they should exist, developing predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans.
• Creating decision-ready work, producing analysis and narratives that are crisp, honest about uncertainty, and drive action.

To be successful in this role, you will need:

• 6+ years using data to drive product or business decisions in product, growth, engineering, or operations environments.
• Strong SQL and strong proficiency in Python or R for analysis and modeling.
• Demonstrated depth in experimentation and causal inference under real-world constraints.
• Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.
• Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes.
• Clear communication: you can explain complex work to non-technical audiences without losing the truth.
• A self-starter mindset: you prioritize well, follow through, and do not need heavy oversight.
• Motivation for our mission: improving access and affordability in mental healthcare.

The expected base pay range for this position is $180,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

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We're seeking a Marketing Senior Finance Manager to lead the Marketing Finance function and partner with the Executive team to maximize ROI from our GTM investments. In this role, you will work closely with the Marketing and Sales leadership to shape and execute our financial strategy for our Marketing team and translate this to success for the Sales team.

Responsibilities:

• Build the pipeline forecast, economics, and ROI models, including identifying and implementing strategies to improve CAC and CAC Paybacks
• Play a leading role in bi-annual planning to support decision-making around pipeline priorities and trade-offs, across all customer and product segments in the business
• Support FP&A in understanding how to forecast marketing investments
• Help set goals in planning, track outcomes, and provide metric deep-dive analysis
• Help tie marketing-related goals (leads, meetings, conversions) to financial and sales goals

Requirements:

• Bachelor’s degree in Economics, Finance, Business, or related field
• 5+ years of relevant financial experience working directly with GTM teams, having held positions of increasing scope and responsibility at a high-growth tech company
• Mastery of Excel and PowerPoint with proven experience in building financial models and managing complex data
• Comfortable interacting with internal and external senior-level executives
• Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions

Compensation: The expected salary range for this role is $203,000-$254,000 USD.

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You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

Responsibilities

• Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

Requirements

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

Nice to Have

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

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Key Responsibilities:

• Serve as the strategic connective tissue between Business Development and Product on Nitro partnerships, ensuring alignment on deal priorities, product capabilities, and go-to-market strategy
• Provide analytical support to Consumer Revenue leadership by building reporting, surfacing insights on partnership performance, and delivering data-driven recommendations that inform business decisions
• Partner with Finance on financial modeling for Nitro partnership deals, building and maintaining models that inform deal structure, revenue projections, and partnership economics
• Stand up and run the Consumer Revenue deal desk, defining red lines on term sheets, establishing approval frameworks, and creating clear guardrails on what we will and won't allow in partnership agreements
• Lead pricing strategy and analysis for Nitro, managing the semi-annual pricing cycle and building the analytical foundation to support pricing decisions
• Develop and maintain dashboards and ad hoc analyses that give Business Development and Product teams visibility into partner revenue trends, deal pipeline health, and key performance metrics
• Manage operational workflows across Accounting, Legal, and other cross-functional partners to ensure deals move from signed term sheet to revenue recognition smoothly
• Document and codify deal policies, pricing frameworks, and operational processes as the function matures

Requirements:

• 4 to 6 years of experience in strategy and operations, deal operations, revenue operations, or strategic finance
• Strong financial modeling skills with the ability to build deal models, scenario analysis, and partnership economics from scratch
• Proven ability to turn ambiguous business questions into structured analyses and clear recommendations
• Experience standing up or managing a deal desk function, including defining deal terms, approval workflows, and pricing guardrails
• Ability to operate across multiple stakeholders (Business Development, Product, Marketing, Engineering, Legal, Finance, and Accounting) and drive alignment without direct authority
• Sharp analytical skills with proficiency with SQL, python, BI Tools, and Excel/Sheets.
• Proficient with AI tools such as Claude, Claude Code, Cursor, etc
• Strong written and verbal communication.

Nice to Have:

• Experience in subscription or consumer revenue businesses, or partnership-heavy models
• Background in gaming, social platforms, or digital media
• Familiarity with revenue recognition principles and working with Accounting teams on deal operationalization
• Experience with BI tools such as Tableau, Looker, or similar, and building self-serve reporting for business teams

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role: The Senior Compensation Partner is a core member of Gusto's People team, responsible for building and scaling the compensation programs that help us attract, retain, and reward top talent. This role exists to bring rigor, fairness, and strategic clarity to how Gusto thinks about pay , operating at the intersection of data, policy, and people.

Operating with a systems-first, AI-aware mindset, the Senior Compensation Partner uses automation, scalable workflows, and well-designed tooling to improve decision quality, ensure compliance, and reduce reliance on manual, one-off analysis. This role partners closely with HR Business Partners, Finance, Legal, and business leaders to ensure our compensation programs are grounded in market reality and aligned to our values.

Success in this role is measured by the quality and fairness of compensation decisions, the scalability and reliability of our programs, and the degree to which the organization can operate with confidence , without constant intervention or heroics.

Gusto's compensation function, built on first-principles thinking, is at an inflection point , scaling from early foundations to a mature, high-trust operation. You'll have real ownership to shape how we design and deliver compensation as the company grows.

Here’s what you’ll do day-to-day:

• Develop, implement, and communicate Gusto's compensation programs, policies, and procedures, ensuring internal equity, external competitiveness, and alignment with business strategy.

• Partner with and influence key stakeholders , including HRBPs, Finance, and senior leadership , to translate compensation philosophy into clear, actionable programs.

• Lead annual compensation cycles (merit, equity refresh, benchmarking) and own the end-to-end process from data collection through communication.

• Perform market analyses and compensation studies using survey data (e.g., Radford/Aon, Mercer, Pave) to recommend pay ranges, job levels, and offer positioning.

• Use AI tools and automation thoughtfully to accelerate analysis, synthesize benchmarking data, and reduce planning and reporting load , while maintaining sound judgment around data quality and decision guardrails.

• Design and maintain scalable compensation workflows and tooling , automating recurring analyses, audit processes, and reporting so programs run reliably without manual intervention.

• Build and maintain compensation dashboards and data visualizations that give leaders real-time insight into pay equity, market positioning, and budget utilization.

• Craft competitive, compelling offers to attract top-tier talent, and build playbooks to help recruiters and HRBPs communicate Gusto's total rewards story.

• Ensure ongoing compliance with federal, state, and local pay regulations , including pay transparency laws, FLSA classification standards, and emerging pay equity requirements , and proactively flag legislative changes.

• Partner with People Operations to integrate and optimize HRIS and compensation tools, ensuring data accuracy and system scalability as the company grows.

Here’s what we're looking for:

• 8+ years of experience in Compensation, Total Rewards, People Operations, or a related analytical function , ideally in a high-growth technology environment.

• AI fluency: hands-on experience using AI tools or automation to accelerate analysis or synthesis, paired with strong judgment around trust and validation.

• Hands-on experience running compensation cycles (merit, equity, benchmarking) and building scalable programs from early-stage to maturity.

• Survey benchmarking fluency: direct experience with Radford/Aon, Mercer, or comparable compensation survey tools and methodologies.

• Systems-first orientation: experience building durable workflows, automating reports, or designing operating mechanisms that reduce recurring manual work.

• Strong analytical foundation: advanced spreadsheet skills (Excel, Google Sheets), comfort with data modeling, and experience building dashboards or visualizations that leaders actually use.

• Knowledge of compensation and employment law, including FLSA, pay transparency statutes, and pay equity frameworks , or foundational knowledge with a clear drive to build expertise.

• Clear, concise communicator who can translate complex pay data into narratives and recommendations for non-specialist audiences, including executives.

• Comfort operating at multiple altitudes , from hands-on analysis and modeling to advising leadership on compensation philosophy and strategy.

• High integrity and intellectual curiosity; someone who asks hard questions about fairness and market position, and isn't satisfied with the status quo.

• Background in Mathematics, Finance, Statistics, Economics, or a related quantitative field is preferred but not required.

Gusto offers competitive cash compensation, equity, and a comprehensive benefits package. Our cash compensation range for this role is $124,000 to $150,000 in Denver, and $152,000 to $185,000 in San Francisco and New York. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise. Gusto's Total Rewards philosophy is rooted in transparency, fairness, and the belief that people do their best work when they feel secure and valued. As a member of the compensation team, you'll have unique visibility into , and influence over , the programs that define that experience for every Gustie.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

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Key responsibilities include:

• Designing and building automated manufacturing systems
• Working with product-specific design & manufacturing teams to scope the appropriate level of automation
• Owning the design and integration of automation cells including robot / cobot applications, conveyance, bespoke electromechanical systems, and automated inspection
• Generating 2D and 3D CAD files for automation lines and their systems / components
• Enforcing and contributing to Anduril’s internal processes & standards

Requirements include:

• Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or similar
• 6+ years of experience designing and commissioning automated production equipment
• Proficient CAD modeling in NX, Solidworks or AutoCAD
• Experience with at least one major conveyance system
• Proficient in robot / cobot selection and integration
• Experience integrating various control components

Preferred qualifications include:

• 9+ years of experience designing and commissioning automated production equipment
• Strong 3D CAD in NX
• Experience with multiple conveyance systems
• Experience with automated dispense systems
• Experience with control panel layout, electrical component selection, and cable routing
• Experience integrating with MES and QMS

Salary range: $126,000-$167,000 USD

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With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success.

We're looking for a full stack Deal Lead to join Gusto’s Corporate Development and Partnerships team. The ideal candidate brings experience driving growth for software and financial technology companies through M&A and strategic partnerships, along with curiosity around using AI to accelerate that work.

In this role, you will shape Gusto’s Build, Buy, Partner strategy and lead end to end transactions, leveraging AI tools to enhance market analysis, deal sourcing, and execution. Your contributions will play a key role in accelerating Gusto’s growth as we empower more than 400,000 small and mid-sized businesses to take care of their people.

The Corporate Development and Partnerships team is a high impact group responsible for defining Gusto’s Build, Buy, Partner strategy and driving growth through M&A and strategic partnerships. As a small but mighty team, we use technology, data, and AI to uncover opportunities faster, strengthen decision making, and deliver results that expand Gusto’s impact.

Here’s what you’ll do day-to-day:

• M&A and Partnership Strategy: Collaborate with product and executive leaders to refine strategy and roadmaps, using AI tools to assess markets, identify whitespace, and evaluate Build, Buy, Partner options.

• Deal Sourcing: Apply AI-driven market mapping and data synthesis to identify and prioritize high potential targets and partners across industries.

• Deal Execution: Lead the end-to-end transaction process, leveraging AI for due diligence analysis, financial modeling, and scenario planning to support negotiations and decision making.

• Market and Competitive Intelligence: Use AI to monitor strategic trends, startup activity, and competitive shifts in real time to inform Gusto’s growth strategy.

• Business Case Development: Utilize AI-assisted drafting and analysis tools to create clear, data-informed deal memos, financial models, and executive presentations.

• Stakeholder Alignment: Generate concise, AI-enabled updates that keep cross-functional partners informed and aligned throughout each deal phase.

Here’s what we're looking for:

• Experience: 10+ years of relevant experience in corporate development, partnerships, investment banking, venture capital, or private equity, including at least 3 years at a high-growth software or fintech company.

• Deal Leadership: Proven ability to manage M&A and partnership deals end-to-end, now leveraging AI tools to increase speed, accuracy, and insight.

• Product Minded: Strong product intuition and ability to collaborate with product and engineering teams on strategy.

• Analytical Strength: Exceptional modeling and analytical skills, with interest in integrating AI to enhance data analysis and forecasting.

• Strategic Communicator: Skilled at distilling complex information into actionable insights and communicating across all levels of the organization.

Our cash compensation range for this role is $190,215 to $234,599 in San Francisco, CA. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise, and may vary from the amounts listed above.

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This is an exciting opportunity for an experienced, detail-oriented leader who wants to make a significant impact on Headway's growth and success. You will:

• Drive financial planning processes, ensuring the company resource allocation stays within budget and forecasts are tightly linked to the company's strategic goals
• Support and evolve the company-wide operating model, ensuring key inputs are linked to company growth and profitability and the model is a reliable foundation for forecasting and planning
• Perform robust financial analysis on financial results and operating KPIs, identifying underlying trends and areas of opportunity
• Build and deliver monthly/quarterly reporting packages that tell the story behind the numbers for the exec team and Board
• Leverage tooling/systems to ensure automation of critical processes as we scale
• Support competitive intelligence, M&A and other corporate development initiatives
• Support investor reporting, due diligence, and board-level discussions

You'd be a great fit if:

• You have 8-10+ years of strategic finance/FP&A experience at a high-growth startup, ideally including 2+ years of consulting/banking/investing
• You understand that people drive change, not spreadsheets, and are passionate about working with partners across all levels of the organization to steer progress
• You have exceptional analytical skills with the ability to drill down into the weeds while maintaining a strategic lens
• You have strong financial acumen and expertise in building financial models to support multiple business needs
• You are excited about AI and how it's reshaping finance, and you actively explore and apply AI tools to drive faster insights, greater efficiency, and smarter decision-making
• You are a curious self-starter, resourceful and have a knack for problem-solving
• You’re energized by joining an early-stage startup and making immediate impact in a high-growth environment
• You are an excellent communicator with strong interpersonal skills

Compensation and Benefits: The expected base pay range for this position is $144,000 - $225,000 based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.

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As a Power & Resource Efficiency Engineer, you'll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.

You'll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.

Responsibilities

• Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.

• Design IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.

• Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.

• Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.

What We're Looking For

• Deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis.

• Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.

• Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.

• Exposure to accelerator deployments and their power management interfaces strongly preferred.

• Demand response, grid interaction, or behind-the-meter generation experience is a plus.

• Ability to translate between infrastructure engineering, software teams, and external partners.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.

• 5+ years of experience in data center infrastructure or facility engineering.

• Demonstrated experience with data center power distribution and cooling system architectures.

• Experience building or operating software-based power management, load scheduling, or control systems.

• Proficiency in Python or similar languages for statistical modeling, simulation, or automation of data center infrastructure optimizations.

• Familiarity with SCADA, BMS, EPMS, or industrial control systems and associated protocols (Modbus, BACnet, SNMP).

• Track record of cross-functional collaboration across hardware, software, and facilities teams.

Preferred Qualifications

• Master's or PhD in Controls, Power Systems, or related discipline and 3+ years of experience in data center infrastructure or facility engineering.

• Experience with accelerator-class deployments and their power management interfaces.

• Background in control theory, dynamical systems, or cyber-physical systems design.

• Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation.

• Familiarity with reliability engineering methods.

• Experience with SLA development, availability modeling, or service credit frameworks.

• Exposure to ML/optimization techniques applied to infrastructure or energy systems.

Salary

The annual compensation range for this role is $320,000-$405,000 USD.

Benefits

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 our team.

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Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.

Key Responsibilities:

• Work directly with customers to understand their problems and translate those into features in Scale's platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer's data to Scale's platform and back.
• Deploy and maintain Scale software at customer sites.
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

Ideal Candidate:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
• Linux experience: Understanding of shell scripting, operating systems, etc.
• Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc)
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.

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.

Benefits:

• Comprehensive health, dental and vision coverage,
• Retirement benefits,
• A learning and development stipend,
• Generous PTO,
• Commuter stipend

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In this role, you will define and own the CRM data model strategy, guide and execute scalable platform decisions for the CRM backend, oversee and define the strategy for third-party integrations, and leverage the latest technical advancements in data management. You will also lead and align a dedicated team of engineers, prioritize their work, and manage the technical roadmap for the CRM backend platform.

We are looking for a candidate with 4+ years of experience in product management, specifically focusing on backend systems, data models, or platform products. You should have a strong technical background and experience in data management, data modeling, and data strategy. Additionally, you should be well-versed in managing technical requirements for third-party integrations and data partnerships.

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This role focuses on pushing the frontier of reward modeling for large language models. You'll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking. You'll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.

We're looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You'll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources. Your work will directly advance the science of how we train AI systems to be both highly capable and safe.

Responsibilities:

• Lead research on novel reward model architectures and training approaches for RLHF
• Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability
• Research techniques to detect, characterize, and mitigate reward hacking and specification gaming
• Design experiments to understand reward model generalization, robustness, and failure modes
• Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines
• Contribute to research publications, blog posts, and internal documentation
• Mentor other researchers and help build institutional knowledge around reward modeling

You may be a good fit if you

• Have a track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning
• Have experience training and evaluating reward models for large language models
• Are comfortable designing and running large-scale experiments with significant computational resources
• Can work effectively across research and engineering, iterating quickly while maintaining scientific rigor
• Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences
• Care deeply about building AI systems that are both highly capable and safe

Strong candidates may also

• Have published research on reward modeling, preference learning, or RLHF
• Have experience with LLM-as-judge approaches, including calibration and reliability challenges
• Have worked on reward hacking, specification gaming, or related robustness problems
• Have experience with constitutional AI, debate, or other scalable oversight approaches
• Have contributed to production ML systems at scale
• Have familiarity with interpretability techniques as applied to understanding reward model behavior

The annual compensation range for this role is $350,000-$500,000 USD.

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In practice, this role will support important decisions with analytical insight and strategic and tactical recommendations to drive the long-term success of the business. You will communicate your findings to senior leadership and partner with others to operationalize the hypotheses and takeaways.

Key responsibilities include:

• Corporate Long Range Financial Planning & Analysis
• Own the long-range budgeting, forecasting, and analysis process, workstreams, and reporting for the consolidated company plan
• Drive cash flow forecasting and management efforts, ensuring liquidity and financial stability
• Develop complex financial models to assess various financial scenarios and support strategic initiatives
• Conduct thorough balance sheet analyses and report on key financial indicators
• Identify and implement process improvements to streamline FP&A activities and enhance reporting accuracy
• Collaborate with cross-functional teams to prepare annual budgets, quarterly forecasts, and long-term financial plans
• Lead the development of executive-level reporting and present financial insights to senior management
• Drive continuous improvement in financial reporting tools, systems, and procedures
• Lead the SG&A forecasting and planning review cycle and engage in detailed workstreams partnering with corporate functional leaders
• Collaborate with department leaders to provide financial insights, support decision-making, and drive accountability for spend
• Prepare monthly and quarterly financial reports and dashboards to communicate SG&A performance to senior leadership
• Analyze trends and risks, offering recommendations to optimize cost structures and improve financial efficiency
• Headcount Planning & Workforce Analytics
• Create comprehensive headcount and new hiring budgeting plans
• Lead the headcount forecasting and reporting process, ensuring alignment with financial and operational goals
• Partner with People function, Talent Acquisition and department leaders to analyze staffing needs, hiring plans, and workforce costs
• Talent acquisition pipeline and capacity management
• Support functional leaders to develop workforce plans as part of the annual planning process
• Develop and maintain models to project salaries, benefits, and personnel-related expenses, ensuring accuracy in financial planning
• Define productivity metrics by segment and role within each function
• Office and site utilization monitoring, tracking and planning
• Support workforce scenario planning, analyzing the financial impact of different hiring strategies and organizational changes
• Track actuals vs. forecast for headcount, compensation, and benefits, providing insights on variances and trends

Requirements include:

• Bachelor's degree in Finance, Accounting, Economics, or a related field; MBA or relevant professional certification (CPA, CFA) is a plus
• 5+ years of experience in financial analysis, modeling, and forecasting within a corporate FP&A, investment banking or consulting environment
• Strong expertise in cash flow management and working capital optimization
• Advanced proficiency in Excel, financial modeling, and data analysis tools
• Demonstrated ability to lead process improvement initiatives in a finance function
• Excellent communication and presentation skills, with the ability to convey complex financial information in an understandable manner
• Proven track record of managing multiple projects in a deadline-driven environment
• Experience with financial reporting tools and ERP systems (i.e. Anaplan, Netsuite, Oracle, Foundry)
• Must be authorized to work in the United States

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The tax team is a collaborative, high-impact group within Finance that partners closely with Accounting, FP&A, Legal, and cross-functional leaders. Your responsibilities will include leading U.S. international tax planning and structuring initiatives, owning U.S. international tax provision calculations under ASC 740, and leading U.S. international tax compliance and information reporting.

You will be responsible for intercompany transactions and global transfer pricing policies to support compliance and operational efficiency. You will also monitor global tax legislative developments, model potential impacts, and communicate recommendations to finance leadership and cross-functional partners.

In addition, you will support tax-efficient repatriation strategies and other international tax planning initiatives. You will serve as a technical resource for audits, special projects, and cross-functional tax matters.

To be successful in this role, you will need 6+ years of U.S. international tax experience, including Big 4 and/or in-house experience at a multinational company. You should have demonstrated experience applying ASC 740 and U.S. international tax rules in a multinational environment.

Experience preparing or reviewing U.S. international information returns, including Forms 5471 and 8858, is also required. While not required, experience with OECD Pillar Two modeling, readiness, or implementation, experience in a SaaS, technology, or high-growth company, public company experience, and a Master's in Taxation, CPA license, JD, or LLM are all considered a plus.

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.

About the Customer Success Team:

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role:

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics.

For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities:

Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes

Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks

Own the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics

Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration

Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects

Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues

Bridge the technical-business gap with your customers , working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision

Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects

Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations

Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision

The ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency

Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change

Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role

Excellent written, analytical, and communication skills

Strong process and/or project delivery discipline

Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has

Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Familiar with analytics best practices across business segments and verticals

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, or any other protected characteristic.

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Your work will set the default methods for how we answer questions like:

• Did this actually cause the outcome we care about?
• How sure are we, and what should we do given that uncertainty?
• What evidence is strong enough to change strategy, policies, or spend?

A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action.

Responsibilities:

• Own causal inference and experimentation standards across Headway.
• Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.
• Build the confidence ladder for company knowledge.
• Create a clear, shared framework that maps findings to levels of confidence (for example 1–10), where lower levels reflect correlation and early directional evidence, mid levels reflect increasingly credible causal inference, and the highest levels reflect stable, repeatable, decision-grade truths.
• Operationalize it so it shows up in artifacts teams actually use: PRDs, launch reviews, growth planning, quarterly business reviews, and postmortems.
• Design the learning strategy for our hardest questions.
• Lead the approach for ambiguous, high impact domains like provider activation and retention, payer economics and policies, patient conversion and engagement, and marketplace dynamics.
• Recommend the right combination of randomized experiments, stepped rollouts, geo tests, natural experiments, and observational designs.
• Raise the organization’s statistical maturity.
• Introduce and standardize Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing).
• Build training, playbooks, and reusable tooling.
• Be the escalation point for difficult measurement problems.
• Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.
• Partner with Data Platform and Engineering to make rigor scalable.
• Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring.
• Help define the minimal foundations required for trustworthy learning.
• Build a culture of clear claims.
• Establish norms for separating facts, estimates, assumptions, and uncertainties.
• Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.
• Mentor and set the bar.
• Coach other data scientists and analytics leaders.
• Create review standards for causal work,
• Support hiring for methodological depth,
• Represent Headway’s measurement philosophy internally and externally when appropriate.

Requirements:

• 12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).
• Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.
• Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.
• Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.
• Track record of setting org-wide standards that materially improved decision quality and execution velocity.
• Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.
• Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.
• Motivation for our mission: improving access and affordability in mental healthcare.

Nice to have:

• Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.
• Experience with experimentation under interference and network effects.
• Experience building experimentation platforms, analysis libraries, or statistical tooling used broadly across an organization.
• Familiarity with causal graphs, uplift modeling, and decision theory framing (expected value, value of information).

Compensation and Benefits: The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

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As a Strategic Finance Manager, you will be part of the Finance team, which is a strategic engine at Brex. We lead planning, forecasting, investor relations, and corporate development, partnering across the business to drive clarity and unlock opportunity.

Responsibilities:

• Own the existing business revenue forecast by segment and cohort; track actuals against plan, surface variance drivers early, and maintain a forward-looking view of NRR, GMV NR, and churn
• Build and maintain the LTV:CAC and payback period model, connecting what we spend to acquire a customer to what that customer is worth over their lifetime, including identifying and implementing strategies to improve CAC and CAC Paybacks
• Lead financial planning for post-sales teams, including target setting, capacity modeling, book coverage analysis, and budget management
• Develop cohort-level expansion and churn analysis; understand what drives revenue performance post-activation and feed findings back into the forward plan
• Build and own renewal economics models: evaluate pricing strategies for existing cohorts and quantify the revenue impact of renewal optimization decisions
• Prepare and deliver management presentations for Leadership to analyze results and present forecasts

Requirements:

• Bachelor’s degree in Economics, Finance, Business, or related field
• 3+ years of relevant financial experience working directly with GTM teams, having held positions of increasing scope and responsibility at a high-growth tech company
• Enthusiasm for leveraging AI tools to accelerate analysis, automate reporting, and scale the impact of a lean team
• Mastery of Excel and PowerPoint with proven experience in building financial models and managing complex data
• Comfortable interacting with internal and external senior-level executives
• Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions
• A creative curiosity, collaborative ethic, hardworking enthusiasm, and driving personal vision
• A penchant for multi-tasking and self-starting
• A bias toward proactive insight over reactive reporting
• Ability to operate independently, build structure in ambiguous environments, and prioritize effectively

Compensation: The expected salary range for this role is $155,000-$194,000 USD. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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You will architect the Capacity Engine, build and maintain a comprehensive capacity model, and mathematically map volume mix, omnichannel routing, offshore capture rates, customer escalations, and more.

You will also model Agent Productivity, transform raw agent-level workforce data into actionable intelligence, compute ticket lifecycle metrics, validate handle time distributions, and build logic to detect outlier behaviors.

Additionally, you will own the Financial Translation, bridge the gap between Operations and Finance, and translate Erlang C FTE requirements into a fully loaded staffing plan.

You will drive BPO Capacity Locks, generate and enforce the 30-60-90 day headcount lock plans for our offshore vendor partners, and hold them accountable to forecasted hiring and shrinkage targets.

You will own the Staffing Plan, compute, align, and project operational rates down to the customer's issue-type level and market segment, and apply seasonality adjustments and project demand across monthly, quarterly, and multi-year horizons.

If you have a deep understanding of capacity planning fundamentals, cross-functional influence, data-backed storytelling, and AI-augmented execution, you'd be a great fit for this role.

The expected base pay range for this position is $124,100 - $146,000, based on a variety of factors including qualifications, experience, and geographic location.

In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

Benefits offered include equity compensation, medical, dental, and vision coverage, HSA/FSA, 401K, work-from-home stipend, therapy reimbursement, 16-week parental leave, carrot fertility annual reimbursement and membership, 13 paid holidays, flexible PTO, employee assistance program, and training and professional development.

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Key responsibilities include:

• Collaborating with a multidisciplinary team of software and hardware engineers to develop software defined radios;
• Implementing high-performance, real-time signal processing chains on embedded and hardware platforms to support mission-critical sensing capabilities;
• Developing Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing;
• Participating in laboratory and field testing of RF systems and techniques;
• Participating in the maturation of RF systems into deployable systems and products.

Required qualifications include:

• 5+ years of experience with a BSEE or related field;
• Strong foundation in digital signal processing, comms theory, and system engineering with emphasis in direction finding algorithm implementation;
• Hands-on experience with direction finding, angle-of-arrival estimation, and multi-antenna signal processing;
• Strong experience with DSP implementation for embedded devices including FPGA, Nvidia Jetson, and Software Defined Radios and/or software defined radios;
• Strong knowledge of Python and MATLAB;
• Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred;
• Familiar with deep learning algorithms;
• Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).

Preferred qualifications include:

• Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields;
• Experience with ML frameworks such as TensorFlow and PyTorch;
• Defense, national security, or aerospace domain familiarity through industry or education;
• Extensive Digital Signal Processing (DSP) knowledge and experience;
• Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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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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As a Senior Revenue Operations Analyst, you will have 2+ years of experience in revenue operations, sales operations, business operations, sales finance, or similar, preferably at a fintech or SaaS company. You will be a strong problem solver with excellent written and verbal communication skills, and a high bar for data precision and accuracy. You will also have advanced spreadsheet and modeling skills, moderate SQL skills, and experience with data visualization tools.

We offer a competitive salary range of $114,808 to $143,510, depending on factors including location, skills, experience, market demand, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be included as part of the total compensation package.

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You will:

Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings.

Ideally you will have:

Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

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As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.

Your job is to help Headway answer the questions that matter:

• What is truly incremental?

• Where should we invest next?

• What is driving performance shifts?

• How do we scale what works without fooling ourselves?

You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.

Responsibilities:

• Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.

• Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.

• Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”

• Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.

• Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.

• Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.

• Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.

• Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.

What will make you successful:

• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).

• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.

• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.

• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.

• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.

• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.

• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.

• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.

Nice to have:

• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.

• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.

• Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).

• Experience partnering with Finance on budget allocation, payback, and scenario planning.

• Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.

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Key to this role is expertise in 3D modeling, lighting, and animation, a track record of producing polished 3D work, and a refined aesthetic judgment in visual composition and technical execution.

Responsibilities:

• Use industry-standard 3D software to create assets, characters, environments, and animations according to project specifications
• Deliver high-quality work that demonstrates strong technical fundamentals and artistic sensibility
• Collaborate with technical staff to understand project requirements and iterate on deliverables efficiently

Basic Qualifications:

• Portfolio displaying excellence in 3D work, such as game assets, animations, architectural visualizations, or VFX shots
• Strong skills in modeling, texturing, lighting, rigging, and animation
• Experience setting up environments and animating cameras
• Ability to produce clean, render-ready outputs to specification
• Strong communication and analytical skills
• Strong written and verbal English skills

Preferred Skills and Experience:

• Familiarity with PBR workflows, real-time rendering pipelines, and procedural generation techniques
• Python coding skills

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 be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later

Compensation and Benefits:

• US based candidates: $60/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications
• International candidates: Information will be provided to you during the recruitment process
• Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process

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The ideal candidate will have 5+ years of experience in electrical engineering, focusing on system-level design, development, and testing. They will also have a degree in Electrical Engineering or equivalent and experience with analog and digital electronics design, testing, and troubleshooting. Proficiency in laboratory skills, including setting up and running experiments, is also required.

The Electrical Engineer will participate in system testing at laboratory, ground, and flight test levels, providing detailed data analysis and feedback. They will conduct troubleshooting and testing of electronic components and subsystems to ensure optimal performance. The successful candidate will work closely with technical leads and project teams to support system integration efforts.

The Electrical Engineer will document test results, system designs, and processes to maintain thorough technical records. They will also assist in the design and development of PCB layouts in collaboration with the electrical engineering team.

The salary range for this role is $129,000-$171,000 USD. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package.

Additionally, Anduril offers top-tier benefits for full-time employees, including healthcare benefits, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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About the Role: The Claude Agentic Solutions team is Anthropic's forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.

You will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team's vertical expertise, and ensure every engagement produces outcomes worth repeating.

Responsibilities:

Tech Leadership

• Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.
• Provide active delivery oversight , review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.
• Develop your team's vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.
• Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.
• Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.
• Run operating cadences , monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements , while participating in or running client steering committees and unblocking delivery when at risk.

Use Case Library & Reusable Patterns

• Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.
• Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.
• Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.
• Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.

Commercial Leadership

• Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.
• Own the qualified pipeline for your vertical , working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.
• Define how Anthropic goes to market with the Solutions offering in your vertical , including engagement structures, and partnership dynamics.
• Represent your vertical internally , bring the voice of your segment into product, and go-to-market discussions at the leadership level.

Requirements:

• 8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services , with at least 3 years in a senior leadership capacity owning commercial outcomes.
• Comfort operating in ambiguity and building processes where none exists , you've worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.
• Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.
• A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.
• Demonstrated ability to carry pipeline and close complex enterprise deals , you understand procurement, know how to navigate large organizations, and can move opportunities forward.
• Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic , without being the one writing the code.
• Experience navigating regulated industry environments.
• Executive presence and communication skills: you can present to a board or run a difficult conversation.

Annual Compensation Range:

£255,000-£325,000 GBP

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Key responsibilities include:

• Leading and managing environmental lab projects, including quoting, planning, execution, data review, test failure analysis, and final reporting.
• Developing and implementing thorough qualification testing strategies for aerospace, military, and space hardware, ensuring compliance with program requirements.
• Serving as subject matter expert in dynamic and environmental testing.
• Overseeing and providing expert insight into the operation and troubleshooting of advanced data acquisition and control systems, wiring, and instrumentation.
• Directing the operation and maintenance of a wide range of environmental testing equipment, including shaker tables, thermal chambers, altitude chambers, and thermal vacuum chambers.
• Leading, mentoring, and managing a high-performing team of both hourly and salaried employees, fostering a collaborative and results-driven work environment.
• Conducting performance evaluations, setting clear objectives, and implementing strategies for continuous improvement in team productivity and technical capability.

Requirements include:

• 10+ years of experience in environmental testing, with a significant portion (5+ years) in a management or leadership role.
• Extensive practical experience and subject matter expertise in environmental test standards (MIL-STD-810, RTCA DO-160, SMC-S-016).
• Proven ability to operate, manage, and troubleshoot environmental testing equipment, including shaker tables, thermal chambers, altitude chambers, and thermal vacuum chambers.
• Expertise in various data acquisition systems and sensors (NI cDAQs, Accelerometers, thermocouples).
• BS, MS or PhD in an engineering discipline.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities.
• Must be able to perform physical efforts including standing for extended periods and lifting and carrying material or equipment up to 25 lbs unassisted.

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Your responsibilities will include:

• Designing, standardizing, and codifying processes, products, and tools that will power our next-generation fulfillment network.
• Defining operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.
• Building, not just managing, initiatives end-to-end, from diagnosing the problem, designing the solution, building prototypes, and driving implementation.
• Leveraging data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.
• Building forecasting and scenario planning models to guide long-term network design and capacity planning.
• Partnering with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.
• Translating operational pain points into product requirements and ensuring adoption of new tools and processes.
• Establishing and rolling out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.
• Driving governance and accountability around execution, ensuring every site runs on the same playbook.
• Leading high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.
• Developing and executing multi-year roadmaps in partnership with senior leadership.

You should have:

• 7–10+ years of experience in fulfillment, logistics, supply chain, or operations strategy,ideally with direct exposure to high-volume networks.
• Extremely strong technical skillset: SQL (expert), Excel/Google Sheets (advanced), BI tools (Looker, Tableau, PowerBI), and preferably Python or R for modeling and automation.
• A proven record of designing and implementing scalable processes/products that delivered measurable business impact.
• Strong strategic thinking, with the ability to connect day-to-day execution to P&L drivers and long-term vision.
• Entrepreneurial mindset: thrives in ambiguity, comfortable building from scratch, and naturally biased toward action.
• Executive-level communication skills, with the ability to influence stakeholders across all levels of the organization.
• Bonus: Experience working with robotics, warehouse automation, or building new fulfillment products (B2B, Prep, Returns, Retail compliance).

Why this role is different: This role is one of the most independent, entrepreneurial, and impactful within Flexport Fulfillment. You won’t just manage a process,you’ll design and build the future of how we fulfill, scale, and serve customers. Your fingerprints will be on everything from the technology we use to the services we offer.

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This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Responsibilities:

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions

• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards

• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access

• Architect and implement a shift-left data governance strategy, working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production

• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement

• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable

• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Requirements:

• BS degree in Computer Science or related technical field, or equivalent technical experience

• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership

• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)

• 8+ years of Python development experience, including building and maintaining production data pipelines

• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains

• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns

Preferred Qualifications:

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures

• Experience leading orchestration or platform modernization efforts at scale

• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar

• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)

• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation:

US Zone 2 $198,900-$269,100 USD

US Zone 3 $176,800-$239,200 USD

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We are seeking a skilled Investment Banking - M&A Expert to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to M&A investment banking contexts.

In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world M&A dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities

• Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.
• Select and analyze complex problems in M&A investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications

• Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in M&A investment banking.

Preferred Skills and Experience

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in M&A investment banking practices, such as financial modeling, valuation, or deal execution.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Compensation and Benefits

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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We are seeking a highly experienced Strategic Sourcing Manager to join our Global Procurement organization. As a key member of our team, you will partner closely with internal stakeholders to design and deliver sourcing strategies that align with Airbnb's business priorities while driving innovation, value, and stakeholder success.

The Strategic Sourcing team is part of Airbnb's Global Procurement organization and plays a key role in enabling Airbnb to operate efficiently and scale sustainably. We are a collaborative, forward-thinking team that embraces an AI-first mindset , leveraging technology, automation, and data to simplify processes and unlock new efficiencies.

As the Sourcing Manager supporting Engineering and Infrastructure, you will partner directly with engineering leaders to shape how Airbnb sources and manages critical technology capabilities. This role sits at the center of major technical investments, from infrastructure platforms to emerging AI technologies.

Key Responsibilities:

• Partner with CIO leadership and technology teams to understand platform needs, business requirements, and technology roadmaps.
• Develop sourcing strategies across enterprise SaaS platforms, enterprise applications, data platforms, security technologies, and workplace systems.
• Lead complex sourcing events including supplier discovery, RFPs, negotiations, and contract execution.
• Evaluate supplier proposals, pricing models, and long-term cost structures.
• Partner with Legal and Finance to structure scalable commercial terms and risk protections.
• Use AI-enabled tools and structured analysis to compare supplier proposals and generate negotiation insights.

Requirements:

• 8+ years of experience in procurement, sourcing, consulting, vendor management, or technology strategy roles.
• Experience sourcing enterprise software, SaaS platforms, IT services, or technology vendors.
• Strong commercial negotiation experience with enterprise technology suppliers.
• Ability to translate business requirements into structured sourcing strategies.
• Strong analytical skills and experience working with financial models, supplier comparisons, and contract structures.
• Experience using data, automation, or AI tools to support decision-making.
• Excellent stakeholder management and communication skills.

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.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $128,000-$150,000 USD

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As a Senior Data Scientist, you'll partner with product teams to help them identify important questions and answer those questions with data. You'll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

You'll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

Increasingly, you'll use AI-assisted tools to accelerate analysis, coding, and insight generation. You'll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. You'll build scalable data products that enable stakeholders to self-serve insights and raise the bar for how AI is used within RAD.

Key responsibilities include:

• Partnering with product teams to help them identify important questions and answer those questions with data
• Working closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities
• Designing, building, and updating end-to-end data pipelines
• Partnering closely with product researchers to build a holistic understanding of our customers, products, and business
• Using AI-assisted tools to accelerate analysis, coding, and insight generation
• Identifying opportunities to automate your own workflows and reduce time spent on repetitive tasks
• Building scalable data products that enable stakeholders to self-serve insights

Requirements include:

• 5+ years of experience working with data to solve problems and drive evidence-based decisions
• Strong SQL skills and solid grounding in statistics
• Experience working closely with product teams
• Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
• Strong product intuition, business acumen, and ability to connect analysis to strategy
• Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
• Strong ownership, curiosity, and growth mindset
• Experience with a scientific computing language (e.g., Python)

Preferred skills include:

• Experience with data modeling and ETL pipelines (esp. dbt)
• Experience building internal tools, data products, or self-serve analytics capabilities
• Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication

Benefits include:

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow

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As a Senior Data Scientist, you will partner with product teams to help them identify important questions and answer those questions with data. You will work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

Your responsibilities will include designing, building, and updating end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You will also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

You will influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You will build and automate actionable models and dashboards, craft data stories, and share your findings and recommendations across R&D and the broader company.

You will drive and shape core RAD foundations and help us improve how the RAD org operates.

We are looking for someone with 5+ years of experience working with data to solve problems and drive evidence-based decisions. You should have excellent SQL skills and experience of applying analytical and statistical approaches to problem-solving. You should also have a proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision.

Excellent communication skills (technical and non-technical) and a focus on driving impact are essential. A strong growth mindset and sense of ownership, innate passion, and curiosity are also required.

Experience with a scientific computing language (such as R or Python) is necessary. Experience with BI/Visualization tools like Tableau, Superset, and Looker is a bonus. Experience working with product teams and leveraging AI tools to boost efficiency and creativity across the data science workflow is also desirable.

We offer a competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews, life assurance, comprehensive health and dental insurance, open vacation policy, flexible holidays, paid maternity leave, and 6 weeks paternity leave are also part of our benefits package.

Our working policy is hybrid, with employees expected to be in the office at least three days per week. We have a radically open and accepting culture, avoiding divisive subjects to foster a safe and cohesive work environment for everyone.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Finance at Brex

The Finance team is a strategic engine at Brex. We lead planning, forecasting, investor relations, and corporate development , partnering across the business to drive clarity and unlock opportunity.

We partner across teams at Brex to ensure our business is building and planning with the same dream big goals throughout our entire organization. We’re not here to report on outcomes; we shape them. If you want to influence company direction and think long-term about value creation, this is where your ownership starts.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in the office - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

We are building out the GTM Finance team and looking for a Finance Manager to own the financial view of Brex's existing business, the largest and most strategically important part of our revenue engine. This role is the dedicated Finance business partner for our Client Sales teams, Customer Success, Account Management, Relationship Management, and Banking teams, and owns the full financial picture of a customer's lifetime value.

This is a high-ownership, high-visibility seat at the center of Brex's revenue story. You will partner directly with post-sales leadership to set expansion targets and build the models that drive retention and growth decisions. You will support these leaders by developing and implementing data-driven and high-impact initiatives aimed at driving growth, improving efficiency, and increasing profitability, while serving as a connective tissue within the business.

You will bring both the financial and commercial point of view, and need to embrace challenges and structure complex problems. This role will involve high exposure to Executive Leadership, as you will regularly deliver analysis and recommendations directly to the Leadership team and participate in the narrative and analysis for the Board of Directors and other investors.

Responsibilities

• Own the existing business revenue forecast by segment and cohort; track actuals against plan, surface variance drivers early, and maintain a forward-looking view of NRR, GMV NR, and churn

• Build and maintain the LTV:CAC and payback period model, connecting what we spend to acquire a customer to what that customer is worth over their lifetime, including identifying and implementing strategies to improve CAC and CAC Paybacks

• Lead financial planning for post-sales teams, including target setting, capacity modeling, book coverage analysis, and budget management

• Develop cohort-level expansion and churn analysis; understand what drives revenue performance post-activation and feed findings back into the forward plan

• Build and own renewal economics models: evaluate pricing strategies for existing cohorts and quantify the revenue impact of renewal optimization decisions

• Prepare and deliver management presentations for Leadership to analyze results and present forecasts

Requirements

• Bachelor’s degree in Economics, Finance, Business, or related field

• 3+ years of relevant financial experience working directly with GTM teams, having held positions of increasing scope and responsibility at a high-growth tech company

• Enthusiasm for leveraging AI tools to accelerate analysis, automate reporting, and scale the impact of a lean team

• Mastery of Excel and PowerPoint with proven experience in building financial models and managing complex data

• Comfortable interacting with internal and external senior-level executives

• Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions

• A creative curiosity, collaborative ethic, hardworking enthusiasm, and driving personal vision

• A penchant for multi-tasking and self-starting

• A bias toward proactive insight over reactive reporting

• Ability to operate independently, build structure in ambiguous environments, and prioritize effectively

Compensation

The expected salary range for this role is $137,000-$154,000 CAD. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel's AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.

Visit mixpanel.com to learn more.

About the Team --------------- The Revenue Operations team at Mixpanel partners with the Regional and Global Business Leaders to help set and execute global and regional revenue strategies. We build and execute core operational processes such as business planning and reporting, facilitate key decision making, and support ongoing business operations management - whatever is needed to make our Sales, Customer Success and Partnership teams successful!

About the Role --------------

As Manager of Revenue Strategy and Operations, you will own key annual planning processes globally including forecasting, headcount and quota planning, weekly business review reporting and analyses for rep productivity. Your job will include in-depth quantitative analysis of operating metrics globally to inform new strategic initiatives.

Responsibilities ---------------

• Central owner for forecasting, headcount planning, and quota planning, QBR templates for all of Mixpanel GTM globally
• Drive quarterly and annual planning cycles including goaling, coverage model revisions, territory design, and cascading our financial plan
• Drive continuous improvement through standard operating cadences including weekly forecast and metric reviews in addition to weekly S&M governance, monthly and quarterly go-to-market business reviews
• Proactively identify revenue leakage and opportunities to improve revenue productivity and efficiency through complex data analysis and qualitative intel gathering
• Lead and develop market-winning strategies to improve revenue generation and efficiency through strong problem identification and strategic and prioritized solutioning with the goal of driving concrete outcomes
• Perform both strategic and tactical responsibilities –including acting as the strategic lead on high-impact projects
• Deeply embedded in the business and trusted by GTM Leadership as a strategic partner
• Competence in managing teams, setting expectations, and holding stakeholders accountable
• Strong prioritization abilities to advise and support RVPs focus, time management, and decision-making (i.e., ensure data and information are analyzed, prepared, accurate,
• Support annual planning cycles including goaling, coverage model revisions, territory design, and cascading our financial plan
• Drive continuous improvement through standard operating cadences including weekly forecast and metric reviews in addition to monthly and quarterly go-to-market business reviews
• Perform strategic product, market, and customer analyses to identify new growth drivers or opportunities for improvement
• Define, manage, and provide insights on key performance indicators across a range of segments, geographies, and go-to-market teams
• Collaborate with sales, finance, enablement, marketing, partnerships, customer success and other cross-functional stakeholders to design and execute strategic operational projects to increase sales productivity, operational efficiency, and revenue
• Drive ongoing change management and execution of global strategic priorities in the region; act as a conduit of information and feedback on status and performance of strategic initiatives between leaders sitting in different regions

We're Looking for Someone Who Has ---------------------------------

• 8+ years of total work experience in an analytical role (Strategy, Finance, Analytics, Sales Operations, Business Operations, Management Consulting)
• Expert proficiency in financial modeling and analyzing complex and large data sets
• Outstanding written and oral communication skills
• Strong project management experience with demonstrated ability to effectively manage time, prioritize tasks and work within deadlines
• Track-record of collaborating with cross-functional partners to lead transformation and growth
• Highly motivated, innate intellectual curiosity, and a strong desire to drive impact

Bonus Points for ----------------

• Experience at a top tier Management or Strategy Consulting firm
• Experience in Corporate Strategy, Business Operations, or Sales Strategy in a high-growth, fast paced environment, preferably at a SaaS or B2B organization
• Fluency with core Go-To-Market operating and metrics including CAC, LTV, ROI, Conversion Ratios, and other Efficiency metrics
• Understanding of both enterprise sales motions and product-led sales motions
• Working knowledge of SFDC including Reporting and Record Management from lead creation through opportunity closure
• Direct or indirect management experience of India-based Sales Operations teams
• Direct or indirect management experience with global sales leaders in worldwide regions
• Demonstrable passion for the data analytics industry
• Comfortable working with ambiguity

Compensation ------------

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range ----------------------------

$196,364-$240,000 USD

Benefits and Perks -------------------

• Comprehensive Medical, Vision, and Dental Care
• Mental Wellness Benefit
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values ---------------

• Make Bold Bets: We choose courageous action over comfortable progress.
• Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
• One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
• Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
• Champion the Customer: We seek to deeply understand our customers' needs, ensuring their success is our north star.
• Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel? -----------------------

We're a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel's pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metric

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Key Responsibilities:

• Drive end-to-end energy storage system (ESS) development on extremely accelerated timelines
• Take ownership to ensure successful battery pack delivery
• Serve as main interface between Core Battery Group and internal customers
• Collaborate with program teams to define actionable ESS requirements
• Drive battery cell selection with accelerated de-risk/validation
• Collaborate with mechanical engineers to deliver battery design revisions
• Collaborate with manufacturing engineering to ramp from proto pack revisions to production units
• Hands-on support of battery bring-up, test, debug, and vehicle integration
• Sustain fielded ESSs with root cause analysis and data processing

Requirements:

• Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or fundamental Physical Sciences
• 5+ years of experience designing, testing, and troubleshooting energy storage systems
• Demonstrated delivery of one or more energy storage systems from prototype to production
• Meaningful support and contributions to battery pack manufacturing
• Past ownership of battery pack design and prototype assembly
• Demonstrated experience in delivering robust, high-performance, energy storage systems
• Professional awareness of Battery Management System (BMS) electrical design, BMS algorithms and SW functionality, and BMS validation against operational requirements
• Professional awareness of battery cell characterization methods and battery cell or pack modeling/simulation in Matlab or Simulink
• Basic capabilities and understanding of CAD tools
• Understanding of UN38.3, NAVSEA S9310 and/or equivalent battery safety standards

Preferred Qualifications:

• Graduate Degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or fundamental Physical Sciences
• Understanding and familiarity with MIL-STD-882, MIL-STD-810, MIL-STD-704, MIL-STD-461, MIL-STD-464
• Advanced experience designing battery pack components and sub-assemblies with CAD tools
• Advanced expertise with BMS electrical design, BMS algorithms and SW functionality, and BMS validation against operational requirements
• Advanced expertise with battery cell characterization methods and battery cell or pack modeling/simulation in Matlab or Simulink

Salary Range: $132,000 - $213,000 USD

Benefits:

• Comprehensive medical, dental, and vision plans at little to no cost to you
• Income Protection: Anduril covers life and disability insurance for all employees
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December
• Family Planning & Parenting Support: Coverage for fertility treatments, adoption, and gestational carriers
• Mental Health Resources: Access free mental health resources 24/7
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region
• Relocation Assistance: Available depending on role eligibility
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options

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This is not a reporting role. This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.

You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.

What will I be doing?

• Build Revenue-Impacting ML Systems
• Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)
• Productionize models into operational systems (Salesforce, Marketo, outbound workflows)
• Monitor model performance and iterate for measurable business lift
• Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)
• Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)

You don’t just build models - you ensure they change behavior.

Own End-to-End Data Products

• Translate ambiguous business problems into clear, measurable objectives
• Define GTM data products vision, success metrics, and roadmap
• Ensure integration into existing workflows and systems
• Lead stakeholder alignment and change management
• Secure buy-in from system owners before replacing or enhancing existing solutions

You operate as a mini GM for your data products.

Architect Scalable Data Foundations

• Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure
• Ensure data quality, governance, and reproducibility
• Elevate the team’s standards for experimentation, documentation, and knowledge sharing
• Push adoption of new tools and AI capabilities where appropriate

You raise the technical bar for the GTM organization.

What impact might I have?

Within 6-12 months, you might:

• Launch predictive models that materially improve conversion, expansion, or retention
• Reduce inefficiencies in Sales workflows through automation
• Help leadership make investment decisions backed by rigorous data science
• Influence GTM strategy through quantitative insight and modeling

Success is measured in business outcomes - not dashboards built.

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Location: Remote - US

Department: Software Engineering

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 You Will Join:

Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb’s massive datasets across Users, Listings, Pricing, and Supply/Demand.

You will be a crucial part of the Guest and Host organization, developing a semantic model for our Core Entities and Events that powers the experiences of millions of guests and hosts globally.

The Difference You Will Make:

You will own some of the most critical data systems at Airbnb, building a semantic model that autonomously drives both infrastructure and code changes. This role will focus on building new capabilities in our data ecosystem: a platform that proactively detects issues, orchestrates solutions and seamlessly integrates human-in-the-loop workflows for expert guidance.

Your contributions will shift Airbnb from storing massive amounts of data to intelligently organizing and utilizing it, empowering our product and operations teams to move faster and deliver a resilient, high quality experience for our global community of Guests and Hosts.

A Typical Day:

• Develop an actionable technical strategy from our ambitious vision to drive infrastructure and code from a semantic model of the business

• Improve and expand our detection systems to find more complex issues and integrate human-in-the-loop workflows for subject matter expert guidance

• Architect and develop systems that autonomously orchestrate infrastructure and code changes based on findings from our detection platforms

• Partner closely with Machine Learning, Data Engineering, and Product teams to ensure deep integration in the product space, not just a siloed project.

• Identify areas for improvement, champion the adoption of best practices in engineering architecture, perform technical design reviews, and enhance our software engineers across team boundaries.

• Research the latest innovations in semantic modeling and AI-driven infrastructure, actively sharing these insights to act as a thought leader within Airbnb’s engineering organization.

Your Expertise:

• 9+ years of relevant software development industry experience in a fast-paced tech environment

• BS, MS or PhD in CS or related field

• Expertise with backend systems in large-scale service-oriented architectures

• Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality

• Strong understanding of how deep backend systems are expressed in the UX shown to customers

• End-to-end mentality that transcends team boundaries and helps find globally optimal solutions

• Excellent communication skills and the ability to work well within a team and with teams across the engineering organization

• Passionate about efficiency, availability, system quality and user experience

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

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. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range $212,000-$265,000 USD

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As a Blockchain Security Engineer on the Decentralized Financial Security Team, you will work closely with engineers, technical product managers and senior leadership on designing secure products from the ground up.

You will be responsible for performing secure design reviews, threat modeling, vendor reviews, working with vendors, and secure code reviews for upcoming Coinbase products or features that will be used by millions of customers.

You will have an opportunity to work on the latest technology and provide leadership visibility of the current risk posture.

You’ll also have an opportunity to pitch, lead and participate in cross-functional initiatives that uplevel the security of all Coinbase products and services.

To be completed by all business teams except Eng:

Perform design reviews, threat modeling and code reviews of upcoming features and products.

Identify top product risk areas and lead risk-reduction initiatives with cross-functional teams.

Improve and/or automate existing processes to increase efficiency, utilizing agentic/AI tooling.

Create monitoring solutions to ensure identified risks remain at acceptable levels for Coinbase.

Participate in the team on-call rotation to support engineering teams through timely design consultations, vulnerability analysis, bug fix verification, etc.

Publish blogs and give talks (internal and external) on newfound vulnerabilities, incident investigations, unique integration risks, and related topics

To be completed by all business teams except Eng:

Strong understanding of blockchains (particularly EVM chains) and highly “crypto forward”

Expertise in blockchain technology and foundational knowledge in security principles

2+ years of threat modeling/design review experience

Strong communication skills with the ability to translate technical security requirements and risks into terms that anyone can understand.

High ownership and drive, including the ability to work independently and unblock yourself.

Experience with using AI/agentic tooling (Claude Code, Cursor, GPT Codex, etc.)

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

MS or PhD in Computer Science or related field.

Experience in at least one of: Snowflake, Databricks, Dune.

Experience automating manual processes or carrying out process improvements.

Experience in Blockchain, Exchange, or Decentralized Exchange Security.

Job ID: P76318

#LI-Remote

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$152,405-$179,300 USD

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In this role, you will develop and implement data-driven and high-impact initiatives aimed at driving growth, improving efficiency, and increasing profitability. You will support these leaders by creating frameworks for evaluating customer acquisition efficiency and owning pipeline forecasts and goals. You will bring both the financial and commercial point of view, and need to embrace challenges and structure complex problems.

This role will involve high exposure to Executive Leadership, as you will regularly deliver analysis and recommendations directly to the Leadership team and participate in the narrative and analysis for the Board of Directors and other investors.

Responsibilities:

• Build the pipeline forecast, economics, and ROI models, including identifying and implementing strategies to improve CAC and CAC Paybacks
• Play a leading role in bi-annual planning to support decision-making around pipeline priorities and trade-offs, across all customer and product segments in the business
• Support FP&A in understanding how to forecast marketing investments
• Help set goals in planning, track outcomes, and provide metric deep-dive analysis
• Help tie marketing-related goals (leads, meetings, conversions) to financial and sales goals. Support cross-cutting initiatives such as attribution model design and win-rate analysis
• Help provide the centralized PoV on all Marketing business deep-dives requested by the C-Suite by being the expert in the business context and priorities
• Prepare and deliver management presentations for Leadership to analyze results and present forecasts
• Build narratives that describe business strategy and performance, assess business risk and operating health, and align cross-functional teams to effective solutions

Requirements:

• Bachelor’s degree in Economics, Finance, Business, or related field
• 5+ years of relevant financial experience working directly with GTM teams, having held positions of increasing scope and responsibility at a high-growth tech company
• Mastery of Excel and PowerPoint with proven experience in building financial models and managing complex data
• Comfortable interacting with internal and external senior-level executives
• Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions
• A creative curiosity, collaborative ethic, hardworking enthusiasm, and driving personal vision
• A penchant for multi-tasking and self-starting

Compensation: The expected salary range for this role is $180,000-$200,000 CAD.

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Brex is a financial platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows.

Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact.

This role is highly cross-functional and collaborative, you will have the opportunity to work with every engineering team across Brex.

Building a world-class financial service requires world-class security. Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts

• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features

• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices

• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role

• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains

• Experience with a wide range of secure development activities including, threat modeling, developer education, and incident response

• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity

• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes

• Previous experience as a software engineer

• Consultancy experience performing web application security reviews

• Experience with securing distributed systems in AWS and cloud environments

• Experience with pentesting and securing agentic features and systems

• Contributions to the wider technical community, open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc

Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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You will develop and execute on a go-to-market strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions. This is a technical role that requires the following:

• A deep interest in AI and data and the ability to articulate technical concepts in simple, precise language
• Experience successfully navigating and partnering with governments and senior stakeholders across the GCC
• Working cross-functionally with Scale Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success
• An ability to earn trust and develop close relationships with key decision-makers and influencers within accounts
• An ability to uncover business challenges, shape and scope how AI can address these challenges, and build business cases to show the impact and value of Scale’s offerings

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI and be a founding member of our team, we'd love to hear from you.

You will:

• Work closely with Scale Leadership, Head of EMEA, Engagement Management, Account Executives and the EMEA Strategy team on overall GTM strategy across the region
• Work with potential clients to identify impactful AI solutions and shape and scope their high level vision for AI
• Demonstrate the value and impact associated with each AI application
• Navigate complicated organizations, developing relationships, and answering client questions to qualify an identified opportunity to a signed deal
• Build trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects

Specific responsibilities include:

• Customer communications
• Relationship management
• AI analysis and thought leadership
• Financial modeling and commercial literacy
• Pitch deck and proposal development
• AI workshop design and execution
• Creating demos of potential AI solutions using tools like Replit or Lovable
• Measuring and communicating the impact and value of AI applications

Ideally, you’d have:

• 5+ years of public sector sales or consulting experience, and/or sales experience in complex environments
• A track record of personally shaping and closing $500K to $5M+ deals for complex solutions for public sector accounts
• Experience in building GTM strategies to effectively scale growth
• Experience in partnering with both business and technical stakeholders to identify challenges and formulating solutions to address them
• Passion for what you do and the creativity and willingness to think outside the box
• Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels
• Experience creating, developing, and communicating executive-level materials
• Written and spoken fluency in Arabic required

Nice to haves:

• Experience selling AI products or services

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You'll be the connective tissue between Marketing, Product, Engineering, and Sales, ensuring that every touchpoint from first page view to sales handoff is optimized for conversion and user quality. This is a high-leverage, metrics-driven role.

You'll set the strategy for how prospects discover Flexport, experience our products and technology for the first time, and convert into high-value leads that Sales can close. You'll own the growth marketing roadmap, run rigorous experimentation, and partner deeply with Marketing on acquisition and with Product and Engineering on the self-serve experience.

Responsibilities

Website as a Growth Product

• Own Flexport.com as Flexport’s highest-leverage growth channel to define the product vision, roadmap, and KPIs for the marketing website.
• Drive SEO and AEO strategy, information architecture, and content performance to increase organic traffic and domain authority.
• Lead conversion rate optimization across landing pages, product pages, and CTAs through structured experimentation (A/B tests, multivariate tests, holdout groups).

Self-Serve Flow & Product-Led Growth

• Own the end-to-end self-serve funnel from first visit through signup, onboarding, activation, and handoff to Sales.
• Define and instrument key growth metrics (visitor-to-signup, signup-to-activation, activation-to-MQL, MQL-to-SQL) and build dashboards that make funnel health visible across the organization.
• Identify and activate product-led growth levers: trial flows, in-platform conversion moments, guided onboarding, and expansion signals.

Marketing and Product Bridge

• Serve as the primary product partner between the Marketing team translating campaign objectives into product requirements and vice versa.
• Collaborate with Marketing and Sales Ops on lead scoring models, nurture logic, and segmentation strategies to ensure product signals feed into accurate lead qualification.
• Align product releases and platform capabilities with go-to-market motions so that new features translate into pipeline.

AI & Growth Innovation

• Leverage AI tools and workflows to accelerate experimentation, personalization, audience targeting, and performance analysis.
• Use AI to rapidly prototype and launch landing pages, microsites, interactive tools, and campaign automations without waiting on engineering resources.

Analytics & Experimentation

• Build and maintain growth dashboards that track traffic, funnel conversion, channel attribution, campaign ROI, and lead quality.
• Own the marketing experimentation program and define hypothesis backlogs, prioritize tests by expected impact, run experiments with statistical rigor, and scale winners.

Requirements

• Product management experience, with significant depth in growth, conversion, or product-led growth at a high-growth B2B technology company.
• Strong preference for former tech founders or early-stage operators who have owned the full end-to-end go-to-market for a B2B product from building the website to closing the first customers.
• Proven track record of driving measurable improvements in web traffic, signup conversion, activation rates, or pipeline generation.
• Deep understanding of enterprise B2B buying motions - complex, long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work.
• Experience in logistics, supply chain, or enterprise SaaS is a strong plus.
• A power user of AI in your product workflow; you actively use tools like Claude Code, Codex, OpenClaw, or similar to accelerate prototyping, analysis, and experimentation.
• Bonus if you’ve used vibe coding or low-code AI tools to build landing pages, internal tools, or automations yourself.
• Fluent in web analytics, attribution modeling, and experimentation tooling (e.g. Google Analytics, Amplitude, Optimizely, LaunchDarkly). Comfortable writing SQL and building dashboards.
• Experience with marketing automation and CRM systems (Salesforce, HubSpot, Marketo) and a working understanding of how product signals feed lead scoring and sales workflows.
• Strong product craft , you write clear PRDs, define sharp success metrics, and ship iteratively. You know how to scope ruthlessly and say no to the right things.
• Excellent cross-functional communication. You can present strategy and results to the CEO, align Engineering on technical trade-offs, and partner back with your marketing team.
• A bias toward action and experimentation - you ship fast, learn fast, and iterate. You’re energized by ambiguity and thrive when you can move from zero to one.

Salary

The US base salary range for this position is $200,000-$230,000 USD.

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This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

If you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context, you may be a good fit for this role.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

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The Lead Analyst will lead the budgeting and forecasting processes, provide strategic financial insights, and mentor junior analysts. They will collaborate with senior management on financial strategy and take the lead on significant aspects of financial planning and analysis. This role requires a high degree of independence and proactive problem-solving.

Key responsibilities include leading the budgeting and forecasting processes, building and scaling complex models, managing financial analyses, consolidating financial data, drawing and presenting strategic insights, fostering business relationships, mentoring junior analysts, and actively contributing to strategic discussions.

The ideal candidate will have 6-7+ years of experience in financial planning & analysis or related roles, a Bachelor's degree in Finance or equivalent experience, expertise in financial analysis techniques and advanced financial modeling, and mastery of Excel, including the ability to build and maintain complex spreadsheets.

They will also have experience with NetSuite Planning and Budgeting, or similar financial planning tool, deep experience with the three major financial statements and a deep understanding of P&L components and unit economics, comfort working with C-suite executives and presenting financial information to senior executives, leadership and mentoring skills, and excellent communication skills.

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You'll apply a current-state lens to People processes as they exist today while helping to transform our future.

Impact You'll Have:

• Drive Execution: Own end-to-end outcomes for major initiatives related to people data - from strategy shaping to requirements gathering to product development to initial launch to over-time optimization.
• Technical Excellence: Develop and enhance our data foundation by building AI-first dashboards, conversational agents, and automated solutions that are scalable and maintainable.
• SME Partnership: Act as a thought partner to decision-makers, translating workforce intelligence into actionable insights that impact the performance of individual employees and the company overall.
• Advanced Analytics: Design and execute complex analyses to predict trends, account for business context, and prescribe actions related to hiring, retention, or employee engagement.
• Automation: Convert recurring analysis requests into self-service tools, enabling leaders to make data-driven decisions independently.
• Enablement & Capability-Building: Support users to effectively interpret, interact with, and act on workforce insights. Produce toolkits, training, and resources that drive people data fluency and impact.
• Product Expertise & Innovation: Gain expertise in, and represent, our company products and services - staying current with features and releases from Databricks while attending to emerging best practices in people analytics and HR.

Who You Are:

• Education: You've earned a Master's or PhD in a field related to workforce research and analytics (e.g., I/O Psychology, Sociology, Organizational Behavior).
• Experience: You have 10+ years of professional experience leading large-scale research and analytics projects with/for People/HR functions.
• Technical Skills: You have advanced skills in BI tools (e.g., Databricks AI/BI, Tableau, PowerBI), analytics and modeling, and a strong grasp of SQL.
• Business Acumen: You can identify data gaps in operational processes and systems designs, and can propose solutions to close them.
• Clear Communicator: You are an excellent communicator, with an ability to synthesize complex information into clear, insightful takeaways and action-oriented recommendations.
• Culture Champion: You are ready to collaborate closely with colleagues and network across functional areas to foster Databricks' cultural values.

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 utilizing 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 $191,100-$262,800 USD

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As a key member of our engineering team, you will own and operate Figma's core observability stack, including vendor platforms such as Datadog, ensuring high availability, strong data quality, and effective signal-to-noise across metrics, logs, and traces.

You will define and drive the technical strategy for instrumentation standards, observability libraries, agents, and operators used to monitor internal and external facing services. You will also explore and implement innovative, AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.

In addition, you will establish clear frameworks for cost attribution, budgeting, forecasting, and alerting across infrastructure and observability spend, enabling teams to make informed tradeoffs.

You will partner with infrastructure, product engineering, finance, and security teams to improve visibility into system health and cost efficiency at scale.

You will lead initiatives to optimize observability footprint and spend, balancing depth of insight with performance and cost considerations.

You will coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, collaboration, and high-quality execution.

We are looking for someone with 4+ years of experience leading infrastructure, observability, or platform engineering teams, with a track record of delivering highly reliable production systems.

You should have deep hands-on experience with modern observability platforms (e.g., Datadog, OpenTelemetry) across metrics, logs, and distributed tracing.

You should have a strong understanding of distributed systems, instrumentation best practices, SLO design, and incident response workflows.

Experience driving cost transparency and accountability initiatives, including cost attribution, budgeting, forecasting, and alerting in cloud environments is also required.

Preferred skills include experience designing or evolving company-wide observability standards, shared libraries, and agent/operator-based integrations, background in cost optimization for infrastructure or observability tooling, including vendor negotiations and usage modeling, and experience applying AI or machine learning techniques to anomaly detection, root cause analysis, or operational automation.

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In tandem with a deal leader from the Corporate Development team, you will identify specific areas where we should increase the depth and breadth of available suppliers, and execute strategic partnerships and long-term supplier agreements to create increased capacity. You will draft long-form thought leadership, talking points, and other collateral for our executive team to use in discussion with elected representatives, customers, the White House, industry partners, and in public communications. You will liaise with our government and media relations functions to share our perspective on building industrial capacity.

You will guide and mentor peers and team members across the company to strengthen organisational resiliency and ingrain the concept of increasing industrial capacity in advance of demand. You will define and incorporate organisation-level processes and improvements that enable the business to scale and efficiently utilise its purchasing power, leveraging learnings from world-class manufacturers and other high-volume industries. You will develop easy-to-read reporting and dashboards to measure team KPIs and support the program as it scales.

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You will partner with cross-functional teams to understand performance, identify areas of opportunity, and support strategic decision-making. You will be a key player in driving coordination of strategic and financial planning processes as we scale.

You will also serve as a trusted advisor and critical business partner to G&A functional leaders across the organization.

This is an exciting opportunity for an experienced, detail-oriented leader who wants to make a significant impact on Headway's growth and success.

Responsibilities:

• Establish and drive financial planning processes, ensuring resource allocation stays within budget and forecasts are tightly linked to the company's strategic goals

• Oversee the company-wide operating model, ensuring key inputs are linked to company growth and profitability for use in annual planning/budgeting and monthly forecasting

• Perform robust financial analysis on financial results and operating KPIs, identifying underlying trends and areas of opportunity

• Design and deliver monthly/quarterly reporting packages that tell the story behind the numbers for the exec team and Board

• Optimize systems to ensure automation of critical processes as we scale

• Support competitive intelligence, M&A and other corporate development initiatives

• Hire and develop a high-performing FP&A team to support the needs of the business

• Drive capital allocation strategy, cash management, and expense governance

• Support investor reporting, due diligence, and board-level discussions

You'd be a great fit if:

• You have 10-15+ years of strategic finance/FP&A experience at a high-growth startup, ideally including 2+ years of consulting/banking/investing

• You understand that people drive change, not spreadsheets, and are passionate about working with partners across all levels of the organization to steer progress

• You have exceptional analytical skills with the ability to drill down into the weeds while maintaining a strategic lens

• You are excited about AI and how it's reshaping finance, and you actively explore and apply AI tools to drive faster insights, greater efficiency, and smarter decision-making

• You have strong financial acumen and expertise in building financial models to support multiple business needs

• You are a curious self-starter, resourceful and have a knack for problem-solving

• You are a natural leader who enjoys hiring, mentoring and managing people to reach their highest potential

• You're energized by joining an early-stage startup and making immediate impact in a high-growth environment

• You are an excellent communicator with strong interpersonal skills

Compensation and Benefits: The expected base pay range for this position is $169,600 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.

Benefits offered include:

• Equity Compensation

• Medical, Dental, and Vision coverage

• HSA / FSA

• 401K

• Work-from-Home Stipend

• Therapy Reimbursement

• 16-week parental leave for eligible employees

• Carrot Fertility annual reimbursement and membership

• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st

• Flexible PTO

• Employee Assistance Program (EAP)

• Training and professional development

We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.

Headway participates in E-Verify. To learn more, click here.

A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.

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Key Responsibilities:

• Drive end-to-end energy storage system (ESS) development on extremely accelerated timelines
• Collaborate with program teams to define actionable ESS requirements from user story/CONOPs
• Execute and/or deliver the following ESS development artifacts/steps:
• ESS requirements, battery cell selection and validation
• Familiarity with ESS architecture and design concepts
• Battery management system (BMS) requirements, BMS HW and FW/SW design, BMS SW feature plan/roadmap, BMS validation plan at bench and HIL level
• Cell, module, and pack level validation plan. Support bring-up, test, debug, and vehicle integration
• Ramp plan from development units to production
• Sustain fielded ESSs with root cause analysis and data processing, drive countermeasures/design updates as needed

Requirements:

• Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with applied application focus on energy storage technologies, with 5+ years of experience designing, testing, and troubleshooting energy storage systems.
• Competence with battery test equipment such as cell and pack cyclers, thermal chambers, battery health testers (EIS, ACIR, hi-pot, megger, etc)
• One of the following: 1) Experience BMS programming cell modeling tools 2) Electrical circuit design/integrations experience.
• Familiarity with common electrochemical energy storage materials, technologies and boundaries of operation
• Knowledge of modern battery management system capabilities and requirements in HW and SW/FW
• Experience in battery characterization methods: mission profile validation, equivalent-circuit model characterization, cycle/calendar life assessment, safety features, etc.
• Understanding of UN38.3, NAVSEA S9310 and/or equivalent (UL, IEC) battery safety standards
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

Preferred Qualifications:

• Graduate Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with a focus on energy storage technologies
• Understanding and familiarity with MIL-STD-882, MIL-STD-810, MIL-STD-704, MIL-STD-461, MIL-STD-464
• Demonstrated experience in delivering robust, high-performance, energy storage systems with substantial technical ownership/contributions
• Demonstrated experience in battery testing, modeling, controls, and BMS integration/operation

Salary Range: $132,000 - $213,000 USD

Benefits:

• Comprehensive medical, dental, and vision plans at little to no cost to you
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

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In this role, you'll be responsible for managing our real estate portfolio end to end , from site selection and lease negotiations through buildouts, move-ins, and ongoing operations , ensuring our spaces support how our teams work today and how we’ll grow tomorrow.

This role is about building and running the engine, not just reacting to requests. You’ll operate behind the scenes to orchestrate complex projects, bring structure to ambiguity, and partner across teams to make real estate decisions feel intentional, predictable, and scalable.

While you’ll collaborate closely with senior leaders and external partners, this is a hands-on ownership role for someone who likes to be in the details and accountable for outcomes.

Key responsibilities include:

• Owning and leading the global real estate portfolio end to end , from strategy and site selection to lease negotiations, renewals, expansions, and exits , ensuring alignment with business needs and growth plans
• Leading all major facility projects and office buildouts, managing scope, budgets, timelines, vendors, and day-to-day execution from concept through move-in
• Designing scalable systems, processes, and documentation for how we evaluate space, manage leases, run projects, and operate offices across regions
• Managing the operational details of real estate and facilities work , contracts, approvals, documentation, timelines, risks, and communications , ensuring nothing slips through the cracks
• Partnering cross-functionally with Finance, Legal, Workplace, Security, People, and business leaders to align real estate decisions with broader company priorities
• Building and maintaining real estate financial models and scenarios (e.g., total cost of occupancy, capex/opex tradeoffs) to support clear, data-informed decision-making
• Communicating clearly and confidently with senior leaders and the C-suite, translating complex real estate considerations into actionable recommendations
• Continuously evolving how we approach real estate and facilities to support a fast-growing, global company , balancing speed, quality, cost, and employee experience

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

• 7+ years of experience in active real estate or facilities management, with direct ownership of leases, negotiations, and buildout projects across domestic and international markets
• Strong fluency in real estate financials, with the ability to model, explain, and evaluate costs, tradeoffs, and risks
• High ownership mindset and attention to detail , you take things end-to-end and ensure they get finished
• Comfort operating in ambiguity, bringing structure, systems, and scalable processes to fast-moving environments while supporting a great employee experience
• Clear, thoughtful communicator and cross-functional partner, able to influence stakeholders and senior leaders without formal authority

Preferred qualifications include:

• Experience supporting high-growth tech companies or startups
• Overseen real estate portfolios across multiple regions simultaneously
• Have a background in facilities operations or workplace experience
• Enjoy building templates, playbooks, dashboards, and repeatable workflows from scratch
• Experience managing vendors and negotiations in complex or unfamiliar markets

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.

Pay Transparency Disclosure: If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future.

Annual Base Salary Range: $153,000-$269,000 USD

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You will work closely with the Sales Strategy and Sales Operations teams to develop forecasts and business insights, and provide recommendations to Finance leadership. You will also be responsible for improving forecast reliability, enhancing corporate reporting, establishing processes, and scaling our systems to help grow the business.

To succeed in this role, you will need to have a strong understanding of financial concepts, excellent analytical and organizational skills, and the ability to communicate complex ideas effectively. You will also need to be able to work independently and as part of a team, and be able to prioritize objectives in a fast-paced environment.

In terms of specific skills, you will need to have expertise in Excel/Google Sheets, be comfortable managing large datasets and driver-based models, and have prior experience using SQL or a willingness to learn.

This is a full-time position based in one of our US offices, and we offer a competitive salary range of $137,400-$189,000 USD, depending on location and experience. We also offer a comprehensive benefits package, including annual performance bonus, equity, and other perks.

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