During your six-month internship, you will gain hands-on experience in a dynamic and challenging environment. You will work closely with our experienced team members to develop your skills and knowledge in maintenance planning, production technology, and project management.

As a Praktikant (m/w/d) at Porsche Leipzig, you will have the opportunity to contribute to the development of our production processes and procedures. You will also be part of a diverse and international team, working together to achieve our goals.

Key Responsibilities:

• Participate in the planning and implementation of maintenance measures in the production area
• Support technical projects and collaborate with the maintenance team to optimize processes
• Assist in the development of new procedures and processes
• Collaborate with other departments to ensure smooth production operations

Requirements:

• Currently enrolled in a degree program in Mechanical Engineering, Industrial Engineering, or a related field
• Strong interest in maintenance planning, production technology, and project management
• Excellent communication and teamwork skills
• Proficiency in MS Office and SAP
• Familiarity with CAD/CAM and Power Apps (Power BI, Power Automate) is an asset

What We Offer:

• A dynamic and challenging work environment
• Opportunities for professional growth and development
• A competitive salary and benefits package
• A chance to work with a leading manufacturer in the automotive industry

If you are a motivated and enthusiastic individual looking for a challenging internship opportunity, we encourage you to apply. Please submit your application, including your resume and a cover letter, to [insert contact information].

We look forward to hearing from you!

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We are looking for students of economics, mechanical engineering, or a comparable course of study with at least 3 semesters of study experience, interest in production technology and planning, project management, and good knowledge of MS Office. A structured work style, teamwork, and very good German language skills in writing and speaking are also required.

The internship will start on September 1, 2026, and last for 6 months. A valid matriculation during the entire internship period is a prerequisite.

During your internship, you will have the opportunity to gain practical experience in the production environment and develop your skills in areas such as production planning, quality assurance, and logistics.

In addition to the internship, we offer a range of benefits, including a diverse and subsidized catering offer, reduced public transportation tickets, bicycle leasing, and comprehensive charging infrastructure for electric vehicles.

If you have any questions about your application or would like to learn more about our company culture, please do not hesitate to contact us.

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Your tasks will include:

• Supporting the production and logistics planning team in their daily operations
• Participating in the planning and implementation of complex production projects
• Analyzing existing processes and developing optimization proposals
• Presenting your results to the team and contributing to the development of new ideas

You will work closely with our experienced team members to gain hands-on experience and develop your skills in production and logistics planning.

As a production and logistics planning intern at Porsche, you will have the opportunity to contribute to the success of our company and develop your skills in a dynamic and innovative environment.

Requirements:

• Currently enrolled in a degree program in Industrial Engineering, Mechanical Engineering, Automotive Engineering, Production Technology, Logistics, or a related field
• First-hand experience in a production environment, such as through an internship, apprenticeship, or part-time job
• Strong analytical and problem-solving skills
• Excellent communication and teamwork skills
• Proficiency in Microsoft Office, particularly Excel and PowerPoint
• Ability to work independently and as part of a team
• Strong organizational and time management skills
• Familiarity with production planning software and systems

Preferred qualifications:

• Experience in project management or process optimization
• Knowledge of lean manufacturing principles and techniques
• Familiarity with SAP or other production planning software
• Certification in production planning or logistics

What we offer:

• A dynamic and innovative work environment
• Opportunities for professional growth and development
• A competitive salary and benefits package
• A chance to work with a leading manufacturer of high-performance vehicles
• A supportive and collaborative team environment

If you are a motivated and skilled individual who is passionate about production and logistics planning, we encourage you to apply for this exciting opportunity.

Please note that we can only consider applications for this internship position. Additional applications will not be considered if an active application is already being processed.

To apply, please submit your application through our online portal, including your resume, cover letter, and any relevant certificates or references.

We look forward to receiving your application!

Application Details

• Application Period: March and September
• Duration: 6 months
• Location: Asperg, Germany
• Salary: Competitive salary and benefits package
• Benefits: We offer a comprehensive benefits package, including health insurance, pension plan, and paid time off.

Working at Porsche

At Porsche, we believe in creating a diverse and inclusive work environment where everyone has the opportunity to succeed. We are committed to equality and diversity, and we welcome applications from individuals of all backgrounds.

Our company culture is built on three core values: Heart, Sportiness, and Pioneering Spirit. We believe in living these values every day, and we strive to create a work environment that is inspiring, challenging, and rewarding.

If you are passionate about production and logistics planning and want to join a dynamic and innovative team, we encourage you to apply for this exciting opportunity.

Contact Us

If you have any questions or would like more information about this opportunity, please contact us at [insert contact email or phone number].

Equal Opportunities Employer

Porsche is an equal opportunities employer and welcomes applications from individuals of all backgrounds. We are committed to creating a diverse and inclusive work environment where everyone has the opportunity to succeed.

Data Protection

We take data protection seriously and ensure that all personal data is handled in accordance with applicable laws and regulations. For more information, please see our data protection policy.

Social Media

Follow us on social media to stay up-to-date with the latest news and updates from Porsche:

• Facebook: @porsche
• Twitter: @porsche
• Instagram: @porsche
• LinkedIn: @porsche

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Your key responsibilities will include:

• Strategic and operational responsibility for the entire value chain of the product
• Ensuring automotive-quality standards in production
• Continuous development of work processes according to automotive standards, focusing on lean production principles
• Initiating and accompanying processes on both structural and shop floor levels
• Applying principles of modern employee leadership to promote motivation and results

To succeed in this role, you will need:

• A degree in engineering or a comparable qualification
• Several years of experience in a leading position in production at an automotive Tier 1 supplier
• Experience in a medium-sized or conglomerate-owned, producing company in the automotive production environment, preferably in battery cell production
• Broad technological competence
• Proven experience in leading cross-functional teams and implementing lean manufacturing and Six Sigma methods
• Sound knowledge in quality management, production planning and control, and process optimization

If you have any questions, please contact Dominik Robinson, HR Business Partner, at dominik.robinson@v4smart.com.

V4Smart GmbH & Co. KG is an innovative provider of high-performance Li-Ion round cells for various applications, with around 400 employees and majority ownership by Porsche AG.

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Your tasks will include:

• Project management of vehicle pre-series and retrofit projects
• Participation in the planning of production processes
• Collaboration with other departments

You will have the opportunity to work on exciting projects and develop your skills in project management, production planning, and collaboration with other departments.

As a project management intern at Porsche Leipzig, you will have the chance to contribute to the success of our company and develop your skills in a dynamic and innovative environment.

We offer a comprehensive training program, which includes both theoretical and practical elements, to help you develop your skills and knowledge in project management, production planning, and collaboration with other departments.

The internship will last for 6 months and will provide you with the opportunity to gain hands-on experience in a real-world setting.

You will have the chance to work with experienced professionals and learn from them, as well as contribute to the success of our company.

We are looking for highly motivated and enthusiastic individuals who are interested in project management, production planning, and collaboration with other departments.

If you are interested in this opportunity, please submit your application, including your resume and a cover letter, to our careers website.

We look forward to receiving your application!

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Your responsibilities will include:

• Processing your own projects in the production planning department
• Participating in the conception and implementation of digitalisation and innovation projects in the planning department
• Evaluating and implementing optimisation suggestions in production
• Supporting production planners in their daily operations
• Independently taking on and processing problems when launching new vehicles

To be successful in this role, you should have a strong affinity for production planning, product processes, and technical connections. You should also be able to work independently and have good organisational skills.

As a process optimisation intern, you will have the opportunity to contribute to the development of our production processes and make a positive impact on our company's success.

We offer a challenging and dynamic work environment, as well as opportunities for professional growth and development. Our team is committed to excellence and is passionate about delivering high-quality results.

If you are a motivated and detail-oriented individual who is looking for a challenging and rewarding internship, we encourage you to apply for this exciting opportunity.

The internship will last for 6 months and will start on September 1st, 2026. You should have a valid student ID during the entire internship period.

Please submit your application, including your CV, cover letter, and any relevant certificates or references, to our online application portal.

We look forward to receiving your application!

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Some of the tasks you will be involved in include:

• Participating in the daily work of our planning engineers to gain insights into production processes
• Working on lean production topics in the areas of series management and time management
• Developing and implementing measures to increase productivity, including presenting the results
• Supporting the installation of new equipment and technology
• Collaborating with other departments, such as assembly, paint shop, body shop, and axle assembly

To be successful in this role, you should have a strong interest in production and manufacturing processes, as well as excellent communication and teamwork skills.

The internship will last for six months and will provide you with a comprehensive insight into the world of production at Porsche Leipzig.

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During your internship, you will gain hands-on experience in the Porsche working world and contribute to various projects and tasks, including:

• Implementing new logistics concepts
• Participating in the integration of a driverless transport system
• Supporting cloud transformation projects
• Optimising processes, including sustainability in logistics
• Preparing reports and maintaining documentation

To be eligible for this internship, you should have completed at least three semesters of study in a relevant field, such as logistics or production engineering. You should also have a good understanding of MS Office and experience with SAP, Celonis, or Power BI is desirable.

As a member of our team, you will have the opportunity to work on exciting projects and develop your skills in a dynamic and innovative environment. We offer a competitive salary and a range of benefits, including a comprehensive training program and opportunities for professional development.

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

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Your responsibilities will include analysing and tracking production processes, participating in goal-setting processes, evaluating data, and creating regular reports. You will also support measures to improve product quality and coordinate between individual components and departments.

As a trainee, you will have the opportunity to work on real projects and contribute to the success of our team. You will also receive comprehensive training and support to help you develop your skills and knowledge.

Our team is responsible for the production of over 2,100 employees who assemble more than 200 units of the Panamera and Macan models per day. We are looking for a motivated and enthusiastic individual who is eager to learn and contribute to our team's success.

The ideal candidate will have a degree in economics, mechanical engineering, or a related field, with at least three semesters of study experience. They should have a strong affinity for production, assembly, and quality processes, as well as excellent communication and teamwork skills.

As a trainee, you will have the opportunity to work on real projects and contribute to the success of our team. You will also receive comprehensive training and support to help you develop your skills and knowledge.

We offer a competitive salary and a range of benefits, including a comprehensive training program, opportunities for professional development, and a dynamic and supportive work environment.

If you are a motivated and enthusiastic individual who is eager to learn and contribute to our team's success, we encourage you to apply for this exciting opportunity.

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As a Praktikant (all genders) Knowledge Management, you will have the opportunity to work on various projects and tasks, including:

• Creating and preparing content for internal knowledge sharing, such as audibles and digital learning formats
• Conceiving and generating KI-based training videos
• Conducting research on companies, markets, trends, and technologies
• Preparing and presenting findings in reports and presentations
• Evaluating and recommending new digital tools and KI solutions for knowledge management and content creation

We are looking for a highly motivated and organized individual with excellent analytical and communication skills. If you are interested in working in a dynamic and innovative environment, please apply for this position.

As a Praktikant (all genders) Knowledge Management, you will have the opportunity to work on various projects and tasks, including:

• Creating and preparing content for internal knowledge sharing, such as audibles and digital learning formats
• Conceiving and generating KI-based training videos
• Conducting research on companies, markets, trends, and technologies
• Preparing and presenting findings in reports and presentations
• Evaluating and recommending new digital tools and KI solutions for knowledge management and content creation

We are looking for a highly motivated and organized individual with excellent analytical and communication skills. If you are interested in working in a dynamic and innovative environment, please apply for this position.

The ideal candidate will have:

• A degree in Business Administration, Economics, Computer Science, or a related field
• Excellent analytical and communication skills
• Experience in content creation and video production
• Knowledge of KI-based tools and platforms
• Strong organizational and time management skills
• Ability to work independently and as part of a team

If you are interested in this position, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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During your internship, you will have the opportunity to work on exciting projects such as:

• Einarbeitung in MS Power BI, Power Automate und Power Apps
• Erstellung von Dashboards, Apps und Workflows
• Unterstützung bei der Vorbereitung von Workshops
• Mitarbeit im Projektmanagement für ein Neufahrzeug
• Koordination von Audits im Karosseriebau
• Vorbereitung und Durchführung von täglichen Statusrunden

To be successful in this role, you should have a strong interest in data analysis and digitalization topics, as well as technical knowledge and understanding of production processes.

The internship will start on October 1, 2026, and last for six months. You must be enrolled in a university program during the entire internship period.

We offer a wide range of benefits, including a diverse and subsidized catering offer, price advantages through corporate benefits, and discounts on Porsche Lifestyle products and services.

If you have any questions about your application, please contact our applicant hotline at +49 (0) 341 - 999 - 131 15, Monday to Friday from 9:00 am to 4:00 pm.

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Your primary responsibilities will include:

• Developing integrated vision statements for digital production, from connected facilities to IoT architectures and seamless shopfloor integration.
• Designing data-driven use cases, such as predictive maintenance, AI-supported quality control loops, production optimisation, and autonomous control systems, and overseeing their technical and organisational implementation.
• Planning new production sites and optimising existing plants using modern planning methods, leveraging digital twins to simulate material flows, capacities, and ramp-up scenarios.
• Supporting the industrialisation of new products and ensuring successful production ramp-up, from strategic planning to pilot phases and stable series production.
• Evaluating automation potential, developing innovative production concepts, and implementing economically viable robotics and automation solutions.
• Identifying sustainable levers to reduce manufacturing costs, increasing productivity, and optimising resource, energy, and material usage.
• Establishing high-performance production systems based on lean principles, implementing performance management structures, and embedding a culture of continuous improvement.

In addition to these responsibilities, you will also be involved in various other tasks, including:

• Analysing and optimising production and industrialisation processes.
• Developing smart factory roadmaps and digital architecture.
• Designing and implementing data and AI applications in production.
• Planning factories, production networks, and layouts, including simulation and digital twin.
• Managing ramp-up programmes and industrialisation projects.
• Identifying and realising cost reduction and efficiency potential.
• Introducing operational excellence systems.
• Leading interdisciplinary transformation projects.
• Conducting management workshops and steering committees.

To be successful in this role, you will need to have:

• A strong academic background in a relevant field, such as engineering, computer science, or business administration.
• Several years of experience in a top management consulting firm or in industry, preferably in operations, production, industrial engineering, or digitalisation.
• In-depth expertise in at least one of the following areas:

• Smart Factory / Industry 4.0
• Data & AI in production environments
• Factory planning / Digital Twin
• Ramp-up & Industrialisation
• Lean Production / Operational Excellence
• Automation & Robotics

• Strong analytical skills and structured problem-solving abilities.
• Technical understanding combined with business acumen.
• Confidence in presenting to top management.
• Excellent German and English language skills, as well as a willingness to travel.

In return, we offer a competitive salary and a range of benefits, including:

• Comprehensive pension scheme.
• Flexible working models, including mobile work, flexible hours, and sabbaticals.
• Support for work-life balance, including childcare, family services, and social engagement opportunities.
• Health promotion initiatives, including check-ups, vaccinations, ergonomic advice, digital tools, and comprehensive support from our occupational health management.
• Attractive conditions for purchasing and leasing vehicles, including exclusive tyre leasing for long-term employees and discounts on vehicles from Porsche, Volkswagen, Audi, and Ducati.
• Subsidised catering options, including fresh, seasonal, and regional food, modern cafeterias, and sustainable takeaway options.
• Support for sustainable mobility, including discounted public transport tickets, bike leasing, and comprehensive charging infrastructure for electric vehicles.
• Discounts on corporate benefits, employee discounts on Porsche lifestyle products and services, and package stations.
• Fair and performance-oriented remuneration according to tariff, including voluntary special payments, Christmas and holiday pay, and special bonuses for service anniversaries.

If you are interested in this opportunity, please submit your application, including your resume and a cover letter, to our recruitment centre.

We look forward to hearing from you!

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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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You will work in an environment where transparent planning processes, efficient spare part strategies, and modern storage and system solutions are at the forefront. At the same time, you will accompany us in preparing for the introduction of a new warehouse management system and learn firsthand how we technologically and organizationally develop the spare part logistics.

Responsibilities:

• Planning tasks in the area of non-series and spare part logistics
• Preparation for the introduction of a new warehouse management system
• Taking over individual (partial) projects

Requirements:

• Study of engineering or computer science with a focus on logistics or production
• At least 3 semesters of study experience
• First practical experience in the logistics sector or production processes desirable
• Secure handling of MS Office, data management
• Autonomous and structured working style
• Team and communication skills

Duration: 6 months

Benefits:

• Employee catering: A diverse, subsidized catering offer with fresh, seasonal, and regional dishes, modern cafeterias, and sustainable take-out options
• Mobility: We promote sustainable mobility with discounted Germany tickets, bicycle leasing, and comprehensive charging infrastructure for electric vehicles at our locations

Start: As soon as possible, on the 1st or 15th of the month

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Key responsibilities include reviewing discrepancy documents, developing repair dispositions, providing on-site technical support, assisting in determining if discrepancies are engineering-related or workmanship issues, and initiating design and process changes to correct design errors.

The ideal candidate will have a Bachelor's of Science degree in Mechanical or Aerospace Engineering, with 5+ years of experience in MRB type design and/or repair of aircraft structures & systems. They will also have working knowledge of Aircraft structure and aircraft systems, materials, fasteners, production methods, corrosion prevention, production hand tools, non-destructive testing, and Standard Repair Methods (SRM).

Additional requirements include proficiency in Microsoft Office Suites (Word, Excel, PowerPoint) and Lotus Notes, ability to write clear, concise, and easily understandable step-by-step rework, repair, and system troubleshooting instructions, and ability to create rework/repair drawings using CATIA, PowerPoint, Word, or hand-drawn sketches.

The successful candidate will be able to work independently or within a team-oriented environment, effectively communicate with all MRB team members and with all levels throughout the organisation, and be willing to travel to the shop floor or adjacent buildings to investigate problems on the aircraft or in production areas.

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Explore endless possibilities for your career. Search below by job category.

Co-op & Internship Program

Providing students with hands-on experience and exposure to Engineering and Business operations, and more.

Responsibilities

• Gain practical experience in various fields such as Engineering, Business, and more
• Develop skills and knowledge in a dynamic and supportive environment
• Collaborate with experienced professionals and peers to achieve common goals

Entry Level & Recent Graduates

Launching careers within immersive programs focusing on Accounting or Engineering; challenging projects, vast employee networks, and more.

Production, Technicians & Warehousing

Bringing Honda products to life through Assembly, Skilled Maintenance and Technicians, Parts Distribution, Materials Handling, and more.

Design & Engineering

Creating products that enhance mobility and daily lives through Creative Design, Engineering, and more.

Supply Chain

Delivering the goods that move our customers forward in Logistics, Distribution, Procurement, Warehousing, and more.

Manufacturing Engineering

Ensuring quality, safety, and reliability at every turn through Manufacturing, Process, Production engineering, and more.

Sales & Marketing

Putting customers at the center in Field, Operations, Advertising, Marketing, Product Planning, and more.

Information Technology

Creating new possibilities for a new future through Applications, Infrastructure, Systems, and more.

Corporate Operations

Fueling our operations in Accounting, Finance, Communications, HR, Legal, Credit Union, and more.

Your Journey Starts Here

Your career adventure with Honda begins when you apply. It's more than a process; it's your entry into a community where you'll flourish as part of Team Honda.

Explore a World of Benefits with Honda Total Rewards

Take care of what matters most. Honda offers medical, dental, and vision coverage designed to support you and your family at every stage.

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The role focuses on reliable process execution, accurate documentation, basic troubleshooting, and learning through on-the-job training. You will spend most time on the shop floor executing assigned tasks under supervision while learning and applying cGMP, quality and SHE requirements.

Core responsibilities include equipment setup/takedown, cleaning, routine maintenance, completing electronic and paper records (MES), escalating deviations, supporting area ownership and participating in basic continuous improvement activities.

Technical Skills:

• Demonstrates foundational understanding of SOPs, process flows and critical operational parameters;
• Recognises upstream/downstream dependencies and impacts;
• Executes routine production tasks (solution prep, basic cell culture/support tasks, formulation and housekeeping) per SOPs, MPRs and SPRs;
• Completes accurate records in MES to ensure traceability;
• Supports setup, takedown, cleaning and routine maintenance of equipment under supervision;
• Follows qualification requirements and escalation pathways;
• Learns and follows GMP, Quality and SHE protocols;
• Identifies and reports unsafe conditions and quality deviations;
• Participates in safety/investigation activities as required;
• Supports designated area ownership standards and basic lean practices to maintain a safe, orderly work area and improve local efficiency.

Business Skills:

• Uses available data and MES outputs to complete assigned work;
• Records observations and flags anomalies for review;
• Embraces and learns digital tools used in the area;
• Participates in digital adoption and training activities;
• Manages and prioritises assigned daily tasks with supervision;
• Completes work on time with attention to detail and communicates status proactively.

People Skills:

• Communicates clearly and concisely with peers and Managers;
• Shares updates and escalations in a timely manner;
• Demonstrates a positive, 'can do' attitude;
• Accepts feedback and applies coaching to improve performance;
• Takes responsibility for completing assigned tasks, follows instructions, and complies with Company values and safety requirements.

Additional Responsibilities and Accountabilities:

• Participate in initial qualification and on-the-job training programs;
• Support area housekeeping and DAO standards;
• Other duties as assigned;
• Conduct activities and interactions consistent with Company values and in compliance with the Code of Conduct and supporting Policies and Standards relevant to your role.

Essential Skills/Experience:

• Production Tech I - 0-1 years experience with High School Diploma or GED;
• Ability to work independently or in collaboration with others on assigned tasks;
• Ability to comply with cGMP standards;
• Must possess computer skills;
• Ability to follow instruction and directions.

Desirable Skills/Experience:

• BS/BA degree preferred;
• Degree in STEM field;
• Prior experience or exposure with aseptic/cGMP standards and environment.

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This is a high-visibility role that sits at the intersection of finance, operations, and technology, offering the opportunity to work directly with some of the most sophisticated investment professionals in the industry.

The ideal candidate is analytically rigorous, proactive, and thrives in a fast-paced, high-performance environment.

Principal Responsibilities:

• Daily P&L Production & Analysis , Own the end-to-end T+1 financing P&L process, delivering timely and accurate P&L explains, variance commentary, and attribution analysis across all asset classes.
• PM Interface , Serve as the primary point of contact for Portfolio Managers on all financing-related queries.
• Centralized Controls & Validation , Act as a central control function by coordinating across Operations, Middle Office, Finance, and Technology teams to validate and reconcile all inputs used in the calculation of daily financing.
• Senior Management Reporting , Prepare and deliver high-quality daily and weekly reporting packages and analytics for the senior management team.
• Process Improvement & Project Work , Drive the continuous enhancement of existing tools, workflows, and reporting infrastructure.

Qualifications & Skills Required:

• 2+ years of relevant experience in Portfolio Finance, Product Control, or P&L production within a financial services environment; hedge fund or investment bank experience strongly preferred.
• Proven track record of successfully interacting cross-functionally, specifically with investment professionals, trading desks, and senior management.
• Deep expertise across the following areas:
• Risk-Based P&L Explained & P&L Attribution across multiple asset classes including equities, fixed income, derivatives, and FX.
• T+1 P&L production , experience owning the full daily P&L cycle from data collection through final delivery.
• Intraday and end-of-day P&L support and reporting in a live trading environment.
• P&L controls and reconciliations , ensuring accuracy, completeness, and consistency of all financial data across systems.
• General ledger and accounting data , ability to understand, reconcile, and articulate P&L against the firm's books and records.
• Senior Management reporting , experience preparing executive-level deliverables that are accurate, insightful, and visually compelling.
• Automation and process improvement , demonstrated ability to identify operational inefficiencies and design and implement scalable solutions.
• Advanced Excel skills required , ability to build, maintain, and enhance complex financial models, pivot analyses, and reporting tools.
• Experience with Murex, Geneva, or Imagine is a strong plus.
• Proficiency in SQL for data extraction, validation, and analysis; Visio and PowerPoint skills preferred.
• Demonstrated initiative, intellectual curiosity, and a proactive problem-solving mindset , ability to identify issues before they escalate and drive solutions independently.
• Exceptional verbal and written communication skills, with the proven ability to present complex financial information clearly and confidently to individuals at all levels of the organization.
• Highly detail-oriented with strong ownership of work and an unwavering commitment to accuracy and quality under tight deadlines.
• Proven ability to prioritize and manage multiple tasks simultaneously in a fast-paced, deadline-driven environment while consistently delivering high-quality output.
• A collaborative team player with a strong desire to contribute to Millennium's continued reputation for operational excellence and investment performance.

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Tony's Chocolonely is committed to ending exploitation in cocoa. We are an impact company that makes chocolate, not a chocolate company that makes impact.

As the Creative Operations Studio Project Manager, you'll be the operational heartbeat of our Creative team - the person who brings calm, clarity and a cheeky bit of structure to the beautiful creative chaos.

You keep a full-view dashboard in your head (and in tools): what's coming, what's blocked, what needs love, and what needs a polite 'not right now.'

You're the strategic right hand to our Global Head of Creative and the connector across Brand Comms, Digital, NPD, markets and partners - making sure we deliver brilliant work on time, every time.

You make it easier for designers and copy to do their best work by removing friction, untangling priorities and setting up smart ways of working.

And because we're raising the bar, you'll help level up how the team runs - without killing the creative vibe.

All wrapped up - Run the creative 'traffic control tower': manage intake, scope requests, align expectations and keep priorities crystal clear across markets and teams.

Own resourcing & planning: create and maintain a clear weekly plan so the right people are on the right work at the right time (even when everything feels urgent).

Project-produce like a pro: lead delivery for campaigns, studio work, TV/film productions, packaging and innovation launches - timelines, budgets (where relevant), risks, the lot.

Spot bottlenecks early & unblock fast: raise flags, propose solutions, and keep stakeholders aligned (with just the right mix of kindness and firmness).

Build better ways of working: improve workflows, templates, playbooks, onboarding and tooling so we can scale without chaos.

Protect quality and consistency: partner with the Global Head of Creative to ensure the work lands beautifully and consistently across channels and countries.

Requirements

Our new flavor:

Relevant experience in creative operations / project management / production (agency or in-house), with a strong understanding of how creative work actually gets made.

A natural planner + connector: you love clarity, you see the moving parts, and you make it easy for others to collaborate (even with loads of stakeholders).

Stakeholder magic: you can read the room, communicate clearly, handle conflict calmly, and de-escalate when things get spicy.

Operational excellence with creative empathy: you bring structure that enables creativity - you're here to help the work fly, not to police it.

Comfortable using planning/PM tools and spreadsheets (Asana/Trello/ClickUp vibes are a plus), and you're not afraid to improve how the system works.

We are all about being more in person than apart; this means we offer flexibility but see each other in the office on average 3 days a week. More is fine too!

Believe wholeheartedly in Tony's purpose. You live our core values: outspoken, in it together, entrepreneurial, raise the bar and makes you smile.

Our benefits (the icing on the cake)

At Tony's you will get the opportunity to be part of something extraordinary; first and foremost, by making real impact in the world but also enjoying the nice benefits we provide as you help us succeed.

We're dedicated to enabling all Tonys to grow and develop their careers and therefore we offer training programs, regular feedback cycles, coaching and a generous L&D budget.

We also offer a wide range of additional benefits, including a luxurious vega-lunch, company bonus, minimum of 28 holidays, inspirational team updates, unforgettable events and unlimited chocolate.

But we also know chocolate won't cover the bills, so we've made sure your salary is just as rewarding, for this role that means a salary between EUR 56k-70k on a yearly basis, including holiday pay.

Sounds like you? Are you passionate about making a difference in the world? Look no further! If you're ready to take the chocolate industry to new heights with us, we'd love to hear from you!

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In this pivotal role, you'll serve as the primary liaison between the platform engineering team and our developer community , including quantitative analysts, researchers, and front-office trading teams , ensuring the platform meets their complex development needs and continuously improves.

The Developer Platform team architects, engineers, and enhances the firm's developer’s toolchain and workflow. We collaborate closely with developers, quants, researchers, and front-office trading teams to ensure our platform provides a best-in-class development experience with the feel of native Mac/UNIX-like development.

This role sits at the intersection of product management and technical enablement, acting as the voice of the developer within the platform team.

Key Responsibilities:

• Build and maintain relationships with technologists and developers across the firm to deeply understand their workflows, pain points, and emerging needs

• Discover novel use cases and translate them into actionable product requirements for the platform engineering team

• Serve as the first point of contact for developer questions about the platform's environment, tooling, and capabilities

• Triage and reproduce issues reported by developers, driving initial diagnosis , including leveraging AI-assisted sessions for problem analysis , and escalating to the deeper technical engineering team when necessary

• Drive the roadmap and prioritization of platform enhancements in collaboration with engineering leadership

• Promote and evangelize the Linux developer platform , driving adoption and ensuring developers are aware of available features and best practices

• Manage project timelines, stakeholder communication, and delivery milestones for platform initiatives

Qualifications / Skills Required:

• Demonstrated experience in Technical Product Management, Technical Project Management, or Developer Relations/Developer Experience roles

• Strong communication and stakeholder management skills , ability to engage credibly with both highly technical developers and senior leadership

• Working familiarity with Linux desktop environments , comfortable navigating the platform, understanding developer workflows, and answering environment/tooling questions

• Conceptual understanding of containerization and orchestration (Docker, Podman, Kubernetes) and how developers leverage these tools in their workflows

• Familiarity with CI/CD concepts and tools (e.g., Jenkins, Git) , enough to understand developer pipelines and identify friction points

• Problem reproduction and triage skills , ability to recreate reported issues in the environment and clearly document/escalate to engineering with relevant context

• Experience leveraging AI tools (e.g., LLM-based assistants, copilots) to assist in problem diagnosis, research, and knowledge synthesis

• Basic scripting literacy (Bash, Python) , enough to read, understand, and run existing scripts; not necessarily write complex automation from scratch

Qualifications / Skills Desired:

• Familiarity with serverless compute concepts and cloud-native development paradigms

• Exposure to configuration management tools (e.g., Ansible) and image lifecycle management (e.g., Hashicorp Packer) , understanding what they do and how they fit into the platform, rather than hands-on administration

• Awareness of monitoring and observability tools (Prometheus, Grafana, ELK stack) from a user/consumer perspective

• Understanding of authentication and identity management concepts (e.g., Active Directory integration) as they relate to developer access and workflows

• Experience with agile project management methodologies and tools (Jira, Confluence, or similar)

• Strong communication skills working with engineering leadership, developer community, and stakeholders

• Bachelor’s degree in Computer Science or a related field

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

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If you're looking for a rewarding and meaningful career where you can make a real difference with other brilliant minds, we want you to join our team.

As an Anlagenbediener*in (all genders), you'll play a central role in ensuring the smooth operation of our packaging lines. You'll operate modern machinery, ensure the quality of our products, and contribute to achieving our corporate goals.

Your tasks will include operating the machines, carefully documenting and controlling all production steps, and cleaning and maintaining the equipment according to our quality standards. With your willingness to work shifts and your commitment to continuous improvement, you'll be a valuable part of our team.

Responsibilities and Accountabilities

• Operate packaging lines and specific inspection systems, and perform all activities required for the proper operation of the packaging line.
• Ensure proper management and control of charge documentation and logbooks, and perform and document in-process controls during ongoing production processes.
• Perform and control equipment, format part, and room cleanings according to standard operating procedures, and manage related documentation (eCR, charge protocol, and logbook).
• Implement partial disassembly of equipment and equipment parts, and work on machine and equipment installation.
• Ensure cooperative, responsible, and continuous participation in product quality assurance.
• Ensure efficient utilization of equipment, taking into account costs and benefits.
• Participate actively in achieving departmental goals and engage in constructive and goal-oriented collaboration within the Packaging Department.

What You Bring

• Completed 2-year vocational training, preferably with a technical or pharmaceutical background.
• Experience in operating production equipment is a significant asset.
• Good PC skills, including software used in process control technology.
• Strong understanding of complex processes, responsible, and forward-thinking working style.
• Ability to engage in constructive and goal-oriented collaboration within the Packaging Department.
• High level of reliability and self-motivation, good communication skills, and enjoyment of teamwork.
• Willingness to undergo on-the-job training and work in 3-shift operations.
• Excellent German language skills, both written and spoken.

The position is limited to two years, with the possibility of indefinite extension.

What We Offer

Our performance package is flexible, respectful, and tailored to your lifestyle, because:

• Your financial stability is secured through a competitive remuneration package, including a monthly salary, annual bonus, holiday pay, and Christmas bonus/13th month salary.
• We promote your development through access to learning opportunities such as LinkedIn Learning and our language learning platform Education First.
• We strive to support your health and well-being.
• We confirm sustainable mobility through climate-friendly mobility options such as job tickets and bike sharing.
• You enjoy exciting benefits and access to discounts from over 150 brands through our Corporate Benefits Program.
• We celebrate diversity in an inclusive work environment where you feel welcome, supported, and encouraged to bring your whole personality.

Be You. Be Bayer.

#LI-AMSEMEA

Application

This is your chance to join us in tackling the world's greatest global challenges: preserving human health, feeding a growing population, and slowing down climate change. You have a voice, ideas, and perspectives that we want to hear. Because our success begins with you. Be part of it. Be Bayer.

Bayer welcomes applications from all people regardless of ethnic origin, nationality, gender, age, physical characteristics, social background, disability, membership in a trade union, religion, marital status, pregnancy, sexual orientation, gender identity, or any other irrelevant criterion under applicable law. We commit to treating all applicants fairly and avoiding discrimination.

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Your tasks and responsibilities will include: Ensuring accuracy of quality, shift and production records and data entry; Training and/or directing the efforts of Ops or team trainers to ensure team members effectively perform job duties; Leading the development and execution of team improvement plans to achieve higher levels of operational excellence and performance; Providing day-to-day feedback, both recognition and opportunities for improvement to team members on their performance; Conducting/directing ongoing training sessions to enhance team skills and knowledge; Supporting ongoing continuous improvement projects; Assisting in the process of implementing corrective actions, including recommended disciplinary actions, in order to resolve individual team member performance issues; Establishing and maintaining effective working relationships with all team members, other Process Leads, Production Supervisors, Production Manager, Production Planners and Quality, Engineering and Maintenance support personnel; Tracking attendance, approving PTO and documenting hours for payroll purposes; Providing input into performance feedback, including administration at the direction of management; Monitoring all training records for team members to ensure compliance.

To be successful in this role, you will need to have 3 years of overall relevant experience in medical device assembly, mechanical assembly, electro-mechanical assembly, and 1 year of leadership experience. You will also need to have 1 year of quality control experience, 1 year of production planning or inventory control experience, and proven sound judgment, continuous improvement, and customer focus.

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You will work a rotating shift schedule, including some nights and weekends, as required. You will be responsible for performing basic maintenance of equipment, handling basic activities in Bayer systems (SAP and electronic networks), and applying operational excellence practices to operations (5S, Lean, Six Sigma, 5WHYs).

As a Seed Technician, you will also be responsible for troubleshooting problems associated with equipment, processes, and systems, performing preventive maintenance and inspections, and collaborating with key partners to deliver the business across plant and field operations.

You will be expected to demonstrate Visionary, Architect, Catalyst, Coach (VACC) behaviours to ensure accuracy, quality, and timely delivery of products. You will lead and engage in Daily Direction Setting (DDS) meetings, articulate shift objectives, and allocate resources across all active production areas.

You will work closely with other team members to identify ways to improve our processes. This is an opportunity to work in an environment where your ideas are heard, and you're encouraged to grow personally and professionally.

The successful candidate will have a high school diploma or equivalent, basic user knowledge of standard computer programs (Internet, Excel, PowerPoint, Word, tablets/smart devices), a valid driver's license, and the ability to lift 60lbs (a bag of seed).

Preferred qualifications include a bachelor's degree.

We offer a competitive hourly rate of $27.03 - $33.85 per hour with overtime as applicable. Starting salary is based on the candidate's experience, education, and market pay for a role in the region. Our sites offer excellent internal career growth opportunities within the seed technician role and in cross-functional positions. We also offer a full benefits package including generous insurance, 16 paid holidays, 3 weeks paid time off, 401k match & additional core contribution each year, and $2/hour premium pay for 2nd and 3rd shift.

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Tony's Chocolonely is committed to ending exploitation in cocoa. We are an impact company that makes chocolate, not a chocolate company that makes impact. With incredibly tasty chocolate, we lead by example, demonstrating that ethical practices and success can go hand in hand.

As our new Senior Supply Planner, you'll help ensure Tony's iconic bars are available for chocofans across Europe - on time, in full, and produced with care and efficiency

Responsibilities

• Take ownership of the short-term production plan for Tony's bars, ensuring great customer service while thoughtfully managing capacity constraints and production risks (weekly CFR).
• Manage finished product and material stock levels, keeping stock cover within agreed ranges and finding the right balance between availability, cash and waste.
• Own and improve production strategies and planning parameters (e.g. cycle times, lot sizes, capacity assumptions and safety stocks), strengthening service reliability, flexibility and cost efficiency across categories.
• Act as key user for Jedox: set planning standards, support consistent use across the team, and work with implementation partners on system improvements.
• Own monthly planning scorecards, align root causes together with multi-disciplinary stakeholders, and turn insights into practical improvement actions.
• Work closely with internal and external production partners as a senior supply chain counterpart, helping the team move forward together.

Requirements

• Relevant experience in supply chain or production planning, ideally within FMCG (food, cosmetics or similar).
• A strategic mindset combined with hands-on planning experience; you enjoy connecting the bigger picture with daily decisions.
• Proven experience working with factories and production partners, including navigating constraints, setting priorities and making pragmatic decisions.
• Curious with data and comfortable using insights to support decisions; strong Excel skills are a must.
• Comfortable working in a growing, sometimes slightly chaotic environment - you notice what's missing and take initiative to improve it.
• Clear and thoughtful communicator with strong stakeholder skills across different teams and levels; experience with ERP or planning systems (Jedox or Business Central is a plus).

Benefits

At Tony's you will get the opportunity to be part of something extraordinary; first and foremost, by making real impact in the world but also enjoying the nice benefits we provide as you help us succeed. We’re dedicated to enabling all Tonys to grow and develop their careers and therefore we offer training programs, regular feedback cycles, coaching and a generous L&D budget. We also offer a wide range of additional benefits, including a luxurious vega-lunch, company bonus, minimum of 28 holidays, inspirational team updates, unforgettable events and unlimited chocolate.

Sounds like you? Are you passionate about making a difference in the world? Look no further! If you're ready to take the chocolate industry to new heights with us, we'd love to hear from you!

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You will work with sending out samples/registration samples and support the storage of samples for stability testing as well as handling complaints.

To be successful in this role, you will need to have a strong understanding of pharmaceutical production and regulations, as well as experience working in a GMP environment. You should also be familiar with standard software such as Word, Excel, and Teams.

Our team is committed to providing a supportive and inclusive work environment, where you can bring your whole self to work. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.

If you are curious, motivated, and passionate about making a difference in the world, we encourage you to apply for this exciting opportunity.

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Your main responsibilities will include:

• Operating and maintaining packaging machines and equipment
• Ensuring quality control and performing regular checks on packaging materials
• Performing various tasks related to packaging and production, such as labeling and packaging
• Maintaining accurate records and documentation

To be successful in this role, you will need to have a strong attention to detail, excellent organizational skills, and the ability to work independently and as part of a team.

We offer a competitive salary and benefits package, including a comprehensive training program and opportunities for professional development.

If you are a motivated and detail-oriented individual who is looking for a challenging and rewarding role, please submit your application.

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As a Container Washer, you'll play a crucial role in ensuring the cleanliness and quality of our production processes.

Responsibilities:

• Clean containers, pallets, stainless steel vessels, and washing equipment according to standard operating procedures
• Clean rooms and facilities according to standard operating procedures
• Document cleaning activities according to standard operating procedures
• Conduct inventory checks of cleaning materials after a set period
• Operate computerized cleaning systems and monitor system status, using software from the production control system
• Report any issues and assist in identifying problems
• Transport equipment within the facility and operate the automated transportation system
• Maintain safety standards and support improvements

Requirements:

• 6-12 months of work experience
• Ideally, experience in pharmaceutical production
• Knowledge of production processes
• IT skills for using standard software
• Strong quality awareness and technical understanding
• Proactive, reliable, and team-oriented with high levels of personal responsibility
• Excellent German language skills (written and spoken)
• Willingness to work in shift operations

What We Offer:

• Competitive salary of €3,307 per month (full-time) plus annual bonus, holiday pay, and Christmas bonus/13th month pay
• Opportunities for professional development through access to learning platforms such as LinkedIn Learning and Education First
• Support for health and well-being
• Sustainable mobility options, including job ticket and leased company bicycles
• Access to exclusive benefits and discounts from over 150 brands through our Corporate Benefits Program
• Celebrating diversity in an inclusive work environment where you're welcome, supported, and encouraged to bring your whole self to work

This is a 2-year fixed-term position with the possibility of extending.

XML job scraping automation by YubHub

As an Anlagenbediener*in (all genders), you play a central role in ensuring the smooth operation of our packaging lines. You operate modern machinery, ensure the quality of our products, and contribute to achieving our corporate goals. Your tasks include operating the machines, carefully documenting and controlling all production steps, and cleaning and maintaining the equipment according to our quality standards. With your willingness to work shifts and your commitment to continuous improvement, you are a valuable part of our team.

Your Responsibilities and Accountabilities:

• Operate packaging lines and specific inspection systems, and perform all tasks necessary for the proper operation of the packaging line.
• Ensure proper documentation and control of charge records and logbooks, and perform and document in-process controls during ongoing production.
• Perform and control equipment, format part, and room cleanings according to standard operating procedures, and lead the associated documentation (eCR, charge protocol, and logbook).
• Implement partial disassembly of equipment and equipment parts, and work on equipping machines and equipment.
• Ensure cooperative, responsible, and continuous participation in product quality assurance.
• Ensure efficient utilization of equipment while considering costs and benefits.
• Actively participate in achieving departmental goals and engage in constructive and goal-oriented collaboration within the Packaging Department.

What You Bring:

• Completed 2-year vocational training, preferably with a technical or pharmaceutical background.
• Experience in operating production equipment is a significant asset to your expertise.
• Good PC skills, including software from the plant automation technology.
• Strong understanding of complex processes, responsible, and forward-thinking working style.
• Ability to engage in constructive and goal-oriented collaboration within the Packaging Department.
• High level of reliability and self-motivation, good communication skills, and enthusiasm for teamwork.
• Willingness to undergo on-the-job training and work in 3-shift operations.
• Excellent German language skills in writing and speaking.

What We Offer:

Our performance package is flexible, values-driven, and tailored to your lifestyle because what matters to you matters to us!

• Financial stability through a competitive remuneration package, including a monthly salary, annual bonus, holiday pay, and Christmas/holiday pay.
• Development opportunities through access to learning platforms such as LinkedIn Learning and our language learning platform Education First.
• Support for your health and well-being.
• Sustainable mobility through climate-friendly mobility options such as job tickets and bike-sharing.
• Exciting benefits and access to discounts from over 150 brands through our Corporate Benefits Program.
• Celebrating diversity in an inclusive work environment where you are welcome, supported, and encouraged to bring your whole personality.

This position is limited to two years, with the possibility of subsequent indefinite extension. Be You. Be Bayer #LI-AMSEMEA

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You'll work with modern tooling, a cross-functional team, and teammates who care deeply about impact, collaboration, and learning together.

As a Senior Software Engineer - Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Your key responsibilities will include:

• Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.

• Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.

• Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.

• Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.

• Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.

• Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.

• Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.

You don't need to meet every requirement , we're looking for strong fundamentals, ownership, and the motivation to grow.

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.

• Strong hands-on skills in Python , you write clean, production-quality code.

• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).

• Familiarity with cloud platforms (AWS preferred) and deploying services in production.

• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.

• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.

• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

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

You will be the key to bringing our unified global narrative to life both internally and externally as our Communications Manager. We don't believe in silos: you will ensure that what we say to our teams is seamlessly aligned worldwide, across markets and functions - and that it reflects how we appear on the global stage.

Your tasks and responsibilities will include:

• Translate our corporate goals into clear, consistent messaging for internal and external audiences, advancing global team comprehension and cultural health, measured through regular employee engagement surveys and other data-driven approaches, as well as the corporate understanding of external stakeholders.
• Take a highly hands-on role in bringing primarily internal channels to life – personally scripting, recording, and crafting 'must-consume' interactive Townhalls, internal podcasts, and short-form videos optimized to increase active participation and reach.
• Serve as the core multimedia creator for the communications team by directly copy-writing and producing audio, video, Social Media, and B-roll assets, also leveraging AI tools (where sensible) to scale high-quality, authentic output.
• Design and launch programs and content initiatives that enable employees to share the tonies story also externally, transforming our strong internal culture and brand passion into measurable organic reach and impact.
• Assist the Head of Communications in managing and evolving external touchpoints – including maintaining a data-driven content calendar for the corporate outlets/channels and executive LinkedIn profiles – ensuring our public narrative seamlessly mirrors our internal messaging.

What we are looking for:

• Experience: Proven experience in Corporate Communications or PR, ideally within a fast-growing B2C company (CPG/FMCG, Media, or Toys) or a high-paced agency.
• Education: You hold a Bachelor’s or Master’s degree in communications, business/social sciences, humanities, or other related and relevant fields.
• Omnichannel Storyteller: You are a generalist who can adapt a narrative for an internal newsletter, a LinkedIn post, or a corporate blog post tailored to LLM needs without losing the brand's soul.
• Digital & Data Expert: You are metrics-oriented and experienced in communications reporting. You are familiar with brand tracking, SEO basics, and social listening tools to refine your strategies.
• Technical Content Creator: You are comfortable producing/supervising modern formats (video/podcast) and are excited to explore AI tools to work more efficiently while maintaining a critical, human-centric standpoint.
• Language & Communication Skills Passion: You are fluent in both English and German and possess an exceptional ability to communicate to diverse stakeholders in a fast-moving, international environment.
• Industry Passion: You have a genuine passion for interactive play and listening as well as the toy industry in general.
• Stakeholder Management: You have a 'head and heart' balance – capable of advising various internal stakeholders with candor while remaining empathetic to the needs of the wider team.
• Presence: You value the 'tonie-way' of collaboration and are willing to work from our Düsseldorf HQ 2–3 days per week.

Why tonies?

• Global Teamwork: We collaborate across departmental and country borders on our vision to bring the Toniebox into every child's room in the world.
• Come as you are: This applies not only to the dress code but also to everything else. Because only where you truly feel comfortable can you give your best.
• Mobility: Choose the option that suits you best - a Deutschlandticket (public transport ticket) for unlimited mobility, a monthly contribution for an office parking space, a leasing bicycle, or a remote work subsidy.
• Enhanced Security: Benefit from subsidies for company pension plans, occupational pension schemes, and occupational disability insurance.
• Rest & Time Off: Enjoy 30 days of paid annual leave as well as three additional days off such as Rosenmontag, Christmas Eve, and New Year's Eve. After one year of employment, you can also use up to 10 'toniecation days' (unpaid leave days).
• Continuous Learning: Benefit from our internal and external training opportunities as well as an individual learning budget to continuously expand your knowledge.
• Language Learning & Relaxation: Improve your communication skills with the language learning app Babbel and find relaxation through our access to the meditation app Calm.
• Discounts: Benefit from attractive discounts on our entire range of tonies products.

Good to know:

As part of our principles, we are committed to supporting inclusion and diversity at tonies. We actively celebrate our colleagues' different abilities, ethnicities, faith and gender. Everyone is welcome and supported in their development at all stages in their journey with us.

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As a Senior DataOps Engineer / Software Engineer, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You'll bridge the gap between data science models and reliable, scalable production systems.

Key responsibilities include:

• Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
• Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.
• Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.

We're looking for someone with 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps. You should have strong hands-on skills in Python, experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform), familiarity with cloud platforms (AWS preferred), and deploying services in production. Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.

Our team is passionate about using cutting-edge LLM tools and agents to improve productivity. We're looking for someone who is proactive, hands-on, and takes ownership of problems and drives solutions forward.

Benefits include:

• 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 with a pace of a scale-up combined with the stability of a proven business model.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Travel benefits, gym discounts, and other perks to keep you energized.

If you're interested in joining our team, apply online on our careers page! Your first travel contact will be Katharina from HR.

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As NPI Manager, you will play a key role in driving the successful operational execution of new product launches and product changes. You will be responsible for managing NPI programs end-to-end - from industrialization readiness through ramp-up into stable serial production.

Your tasks and responsibilities will include:

• NPI Launch Management: Plan, coordinate, and track all operational NPI milestones from the prototype phase through ramp-up and handover to serial production.
• Launch Control Tower & Performance Transparency: Operate and maintain Launch Control Tower structures as the single source of truth for NPI status, risks, and dependencies.
• Cross-Functional Orchestration: Act as the operational interface between Product Development, Product Industrialization, Quality, Procurement, Supply Chain and Production.
• Continuous Improvement & Operational Excellence: Identify improvement opportunities within NPI processes, tools, and cross-functional interfaces.

What we are looking for:

• Bachelor’s or Master’s degree in Engineering, Industrial Engineering, Business Administration, or a comparable field.
• 4–7 years of professional experience in NPI, program/project management, industrialization, or operations.
• Hands-on experience managing cross-functional projects in a manufacturing or product-driven environment.
• Experience in ramp-up management, supplier coordination, and production readiness.

Why tonies?

• Global Teamwork: We collaborate across departmental and country borders on our vision to bring the Toniebox into every child's room in the world.
• Come as you are: This applies not only to the dress code but also to everything else.
• Mobility: Choose the option that suits you best - a Deutschlandticket (public transport ticket) for unlimited mobility, a monthly contribution for an office parking space, a leasing bicycle, or a remote work subsidy.
• Enhanced Security: Benefit from subsidies for company pension plans, occupational pension schemes, and occupational disability insurance.
• Rest & Time Off: Enjoy 30 days of paid annual leave as well as three additional days off such as Rosenmontag, Christmas Eve, and New Year's Eve.
• Continuous Learning: Benefit from our internal and external training opportunities as well as an individual learning budget to continuously expand your knowledge.
• Language Learning & Relaxation: Improve your communication skills with the language learning app Babbel and find relaxation through our access to the meditation app Calm.
• Discounts: Benefit from attractive discounts on our entire range of tonies products.

Good to know:

As part of our principles, we are committed to supporting inclusion and diversity at tonies. We actively celebrate our colleagues’ different abilities, ethnicities, faith and gender. Everyone is welcome and supported in their development at all stages in their journey with us.

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We're looking for product engineers who multiply their impact through agentic coding. You'll own entire problem spaces, ship fast by leveraging tools like Claude Code, and will work on the most strategic parts of our future of Holidu.

You will build AI agents that serve millions of guests and hosts, and strive to build the AGI for the vacation rental space. If you have a builder's mindset, love to own problems, think outside the box, and have an engineering background, this role is for you.

Your team works directly with the Co-founder and CTO.

Your role in this journey

Own problems, not tickets. You won't be handed a backlog. You'll be handed challenges like "our hosts spend too much time on guest communication" or "we need to understand why conversion drops here" and you'll figure out what to build.

Ship fast, learn faster. We measure output in customer impact, not lines of code. You'll take features from idea to production, often in days.

Work at the frontier. Our Agentic Experience team builds AI agents that handle thousands of real guest-host conversations, automate complex workflows, and push the boundaries of what's possible with LLMs in production.

Know your tools, stay curious. Our stack runs on Kotlin/Java, AWS, k8s, ReactJS, and PostgreSQL, and you won't hesitate to introduce the right tool for tomorrow.

Your backpack is filled with

• You have 5+ years of backend development experience (Kotlin or Java).
• You use AI coding tools like Claude Code as a natural extension of your workflow, not because it's trendy, but because you've found it makes your thinking more effective.
• You've shipped production systems and understand what it takes to keep them running.
• You think in products, not features. You ask "what problem are we solving?" before "what should I build?".
• You're comfortable with ambiguity and energized by ownership.
• You have strong fundamentals (we mostly use Kotlin, but the language matters less than the thinking).
• You communicate clearly - with code, in documents, and in conversation.

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.

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Your responsibilities will include driving down costs through automation, less TOIL and efficient use of Infrastructure, evaluating the SWIFT product and services from functional and non-functional perspective, and delivering change program as per the annual Book of Work. You will also be responsible for collecting resource and cost estimates, establishing baseline budgets, and securing approvals from the Program Steering Committee, tracking expenses against approved budgets and providing monthly progress reports to stakeholders, conducting revenue projections to support business cases, identifying cost savings, and optimizing resource allocation.

Additionally, you will be responsible for the budget management and reporting for SWIFT Alliance Gateway USA, identifying and managing risks, dependencies, and compliance requirements throughout the service lifecycle, ensuring all functional and regulatory standards are met. You will perform periodic risk assessments, enforce HSBC's Enterprise and Operational Risk Management Frameworks, and maintain robust control documentation.

You will participate in audits and implement all security and data privacy controls as per compliance standards, leading program governance forums, project kickoff meetings, and project status updates, and facilitating cross-team collaboration. You will define and execute a detailed communication plan, including escalation protocols and risk communication, maintaining strong working relationships with cross-functional teams, vendors, and resource managers, ensuring alignment with project goals.

This is a full-time position, Monday-Friday, 40 hours per week, with telecommuting permitted up to 100% from anywhere in the US.

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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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The ideal candidate is scrappy, thrives in a fast-paced, dynamic environment, is willing to experiment, and has exceptionally strong design fundamentals. You will lead the end-to-end production of high-fidelity motion graphics, from initial concept to final rendering and delivery, dedicate time to research and development of new design concepts, experimenting with emerging motion trends and technologies to keep the brand at the forefront of the AI industry, develop and optimize motion workflows, including the integration of generative AI tools to improve team efficiency and output quality, apply a high degree of taste and rigorous design fundamentals to all experimental work, ensuring that even the most "scrappy" or innovative explorations maintain brand integrity, and translate complex technical data and AI concepts into compelling visual narratives that resonate with both developer communities and executive stakeholders.

Ideally you'd have 5+ years of professional experience in motion design or creative production, ideally within a high-growth technology company, world-class agency, or culturally-defining brand, exceptional command of typography, color theory, and composition, proven ability to thrive in "scrappy" and ambiguous environments, managing rapid-fire R&D alongside long-term strategic projects, and experience working in multidisciplinary teams and a track record of fostering a culture of continuous learning and mentorship.

Nice to haves include experience in node-based motion software such as TouchDesigner, Cavalry, 3D software experience in Cinema 4D, Blender, or Houdini, generative AI tooling, background in creative production, and experience working with global teams and managing remote collaborations.

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The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time

[Preferred] Databricks Certification but not essential

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They will develop, implement, and continuously improve production processes to enhance productivity and quality. They will also ensure compliance with industry standards, safety regulations, and internal policies.

As a leader, they will lead, mentor, and develop a diverse team of engineers, technicians, and support staff. They will foster a collaborative and inclusive team environment that encourages innovation and continuous improvement.

In addition, they will serve as the primary point of contact for customers regarding production-related inquiries and concerns. They will address customer needs promptly and professionally, ensuring high levels of customer satisfaction.

Key Responsibilities:

• Develop, implement, and continuously improve production processes to enhance productivity and quality.
• Ensure compliance with industry standards, safety regulations, and internal policies.
• Lead, mentor, and develop a diverse team of engineers, technicians, and support staff.
• Foster a collaborative and inclusive team environment that encourages innovation and continuous improvement.
• Serve as the primary point of contact for customers regarding production-related inquiries and concerns.
• Address customer needs promptly and professionally, ensuring high levels of customer satisfaction.

Requirements:

• Bachelor’s degree in Chemical Engineering, Mechanical Engineering, or a related field. Advanced degree preferred.
• Minimum of 7-10 years of experience in a manufacturing engineering role, ideally with a focus on chemical, explosives, or energetics industries.
• Proven experience in leading and managing diverse and dynamic teams.
• Technical skills in production documentation, process optimization, and lean manufacturing principles.
• Strong customer service skills with the ability to address and resolve customer concerns effectively.
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving abilities.
• In-depth knowledge of safety regulations and best practices in manufacturing environments.

Preferred Qualifications:

• Relevant certifications in project management, lean manufacturing, or Six Sigma.
• Experience with manufacturing software and tools, such as ERP systems and CAD software.
• Deep understanding of the regulatory landscape and industry standards for chemical, explosives, and energetics manufacturing.

Salary Range:

$170,000-$256,000 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 (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.
• 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.

Protecting Yourself from Recruitment Scams:

• No financial requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.
• Verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Exercise caution with unsolicited outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage.
• Report suspicious activity: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

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As a Staff+ Software Engineer, you will independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

Our team is responsible for Platform Acceleration, Service Infra, Multicloud, Auth & Identity, and Connectivity. We work on maximising developer productivity of product engineers at Anthropic, building and maintaining the core infrastructure that powers Anthropic's engineering organisation, operating across multiple cloud providers, and powering identity and authentication across Anthropic's product suite.

You will work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API.

Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.

We are looking for someone with 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level. You should have led the design and delivery of complex, consumer or B2B user-facing products across the full stack, and take a product-focused approach to building solutions that are robust, scalable, and easy to use.

Strong candidates may also have served as a technical lead or architect for a foundational platform system, owning both the technical vision and execution end-to-end, or experience designing or scaling billing, payments, or financial infrastructure at high transaction volumes.

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You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases. You will work with engagement managers to scope variety of professional services work with input from the customer.

Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

The ideal candidate will have 6+ years experience in data engineering, data platforms & analytics, comfortable writing code in either Python or Scala, working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one, deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals, familiarity with CI/CD for production deployments, working knowledge of MLOps, design and deployment of performant end-to-end data architectures, experience with technical project delivery - managing scope and timelines, documentation and white-boarding skills, experience working with clients and managing conflicts, build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

Travel to customers 20% of the time.

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Your responsibilities will include:

• Designing extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
• Building and operating distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
• Integrating with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
• Designing and maintaining data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
• Partnering closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
• Leading multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.
• Applying strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.
• Raising the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.

Ideal Experience:

• 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
• Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
• Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.

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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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.

As Mixpanel scales into the enterprise, the platform that underpins how customers manage, secure, and control their Mixpanel environment becomes increasingly strategic. This isn’t a role about a single feature or workflow , it’s about the foundational systems that determine whether a 500-person company trusts us with their data and their organisational complexity.

Responsibilities

Own the Enterprise Platform Roadmap

Define and drive the roadmap for Mixpanel’s enterprise management surface , RBAC, SSO/passkeys, auth services, audit logs, admin controls, bulk user management, and settings UX

Develop a principled view of what the platform must guarantee (security, compliance, reliability) vs. what can be iterative , and sequence investments accordingly

Anticipate requirements from enterprise customers, internal security reviews, and compliance obligations; design ahead of the ask rather than reacting to it

Build business cases for platform investments, making the indirect ROI of security and compliance work legible to leadership

Establish operating cadence and governance across the two engineering tracks: align dependencies, create clear owners, and ensure predictable delivery

Lead with Curiosity and Disciplined Discovery

Approach every platform problem with structured curiosity: frame clear hypotheses, test assumptions with lightweight experiments, and evaluate second-order effects before committing

Stay directly connected to enterprise customers and security-facing stakeholders (Sales, CS, Legal) to understand how platform limitations show up in real deals and renewals

Synthesise signal from security reviews, compliance inquiries, support tickets, and customer interviews into clear, prioritised product proposals

Drive Cross-Team Platform Integrity

Own the consistency and reliability of shared authentication, permissions, and admin patterns across Mixpanel’s product portfolio , ensure every product team builds on a stable, well-governed foundation

Partner with engineering leads to define clear APIs, auth contracts, and permission interfaces that prevent hidden dependencies and enable safe evolution

Define and maintain measurement standards for platform health: uptime, auth failure rates, admin task completion, enterprise onboarding velocity

Work closely with application security to ensure platform features meet enterprise security standards and pass external audits

We’re Looking For

Experience

5+ years of PM experience owning meaningful problems end-to-end; direct experience with identity, access management, enterprise administration, or security-adjacent product work strongly preferred

Track record of driving alignment and delivering outcomes across engineering, security, and GTM functions without formal authority

Experience building business cases for security, compliance, or infrastructure investments where ROI is indirect or realised over long time horizons

Familiarity with enterprise sales and the role platform features (SSO, RBAC, audit logs) play in closing and renewing enterprise accounts

Skills

Systems thinker: you understand how platform-layer decisions ripple across products, user journeys, and engineering teams, and you reason about second-order effects before committing to a direction

Technical fluency: credible with engineers on identity, auth, and security infrastructure tradeoffs; can partner on architecture-level product decisions without needing to be an engineer

Curious by default: you ask better questions before proposing solutions, challenge assumptions respectfully, and design lightweight experiments to validate direction

Customer-obsessed even on infrastructure: you stay connected to how platform quality shows up for end users and enterprise admins, not just internal teams

Clear, direct communicator: you can write a crisp one-pager, align senior stakeholders on a difficult tradeoff, and make security/compliance topics accessible to non-technical audiences

AI-native: you use AI tools actively in your day-to-day product work , research, synthesis, discovery , and can point to specific ways they’ve changed how you operate

Bonus Points

Deep familiarity with SSO protocols (SAML, OIDC), passkeys/WebAuthn, or RBAC design patterns

Experience navigating SOC 2, GDPR, or enterprise security review processes as a PM

Hands-on Mixpanel user who understands the product from the inside

Experience at a company navigating single-product to multiproduct platform complexity

Experience writing production-grade software or working directly with auth/identity APIs

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 $218,500-$250,000 USD

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy

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

As a Forward Deployed Engineer, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform.

Responsibilities

Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.

Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.

Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.

Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.

Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.

Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.

Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.

Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).

On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.

Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain “five nines” uptime.

Active Practitioner: You are currently in the IDE. You have a “ship-first” mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.

Full-Stack Architectural Depth: Broad technical fluency across the entire stack,from frontend performance and backend logic to database optimization and distributed infrastructure.

AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.

Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the “big picture” without losing sight of the implementation details.

Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.

High Agency & Navigating Ambiguity: You are a self-starter who thrives in “zero-to-one” environments. You don’t wait for a ticket; you identify the problem and own the solution from end-to-end.

Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.

Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.

A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

Equity

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

Benefits

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

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $185,000 - $254,000 Required Skills:

• Proven Engineering Pedigree
• Production Ownership & Operational Maturity
• Active Practitioner
• Full-Stack Architectural Depth
• AI-Native Development
• Systems Design & Strategic Thinking
• Cloud Ecosystem Fluency
• High Agency & Navigating Ambiguity
• Executive Presence

Preferred Skills:

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platformових

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Your primary responsibilities will include providing tactical scheduling and strategic long-range planning expertise to our production teams. You will coordinate, review, plan, and schedule inputs from the business and planning to create an integrated master schedule. You will also utilize Foundry and other applications to ensure work is scheduled and prioritized accurately and efficiently, and resources are allocated appropriately.

In addition, you will prepare daily work schedules, track work progress, update project critical path schedules, and advise leadership of needed adjustments to daily work activities. You will perform schedule baseline change control, collection, and tracking performance, critical path analysis, and variance analysis as required.

You will ensure requisite production requirements are properly scheduled to facilitate an efficient production process. You will schedule production, operations planning, and engineering support to eliminate obstacles and deliver product on time.

You will coordinate support from other internal resources such as inspection, testing, engineering, and supply chain as needed to meet program deliverables. You will lead efforts to uncover root-cause and develop permanent resolution on issues found during product builds as required.

You will identify and support improvement opportunities for product yield, quality, safety, cost, and team efficiency. You will identify process automation opportunities and drive organizational efficiency improvements.

You will organize and communicate the daily priorities to production coordinators, team leads, and supervisors as required. You will provide daily visibility, weekly status, and monthly reviews on schedule performance.

You will develop and analyze metrics that tie production to enterprise goals as required. You will lead the creation of scheduling tools and initiatives in support of Anduril's overall scheduling maturation.

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Key responsibilities include:

• Leading, mentoring, and growing a high-performing engineering team responsible for both the customer-facing Model Serving product and its foundational infrastructure.
• Defining and owning the product and technical roadmap for Model Serving, balancing customer experience, functionality, and foundational investments across deployment, inference, monitoring, and scaling.
• Collaborating closely with product, research, platform, and infrastructure teams to drive end-to-end delivery from ideation and prioritization to launch and operation.
• Ensuring Model Serving meets stringent SLAs, SLOs, and performance and reliability goals, continuously improving operational efficiency and customer experience.
• Driving architectural decisions and product design around latency, throughput, autoscaling, GPU/CPU placement, and cost optimization.
• Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.
• Promoting best practices in code quality, testing, observability, and operational readiness.
• Fostering a culture of excellence, inclusion, and continuous improvement across the team.
• Partnering with recruiting to attract, hire, and develop top-tier engineering talent.

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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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Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

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

Pay Transparency:

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

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

The base salary range for this position is: $185,800-$260,100 USD

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You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.

Build and optimize inference services that deliver low-latency, high-reliability experiences for our customers, including autoscaling, routing, and fallbacks.

Work on GPU-level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.

Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.

Play an active role in hiring, mentoring, and developing other engineers on the team.

Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

You have 5+ years of experience in software engineering, with a strong track record of shipping high-quality products or platforms.

You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).

You have hands-on experience with one or more of the following:

Model training (especially transformers and LLMs).

Model inference at scale (again, especially transformers and LLMs).

Low-level GPU work, such as writing CUDA or Triton kernels.

Comfortable working in production environments at meaningful scale (traffic, data, or organizational).

You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non-engineers.

You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.

Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

Competitive salary, annual bonus and equity

Regular compensation reviews - we reward great work!

Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.

Generous paid time off above statutory minimum

Hybrid working

MacBooks are our standard, but we also offer Windows for certain roles when needed.

Fun events for employees, friends, and family!

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Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies.

We're looking to bring on an experienced Senior Data Scientist to own the data strategy for our Growth and Patient Experience team. In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.

Responsibilities

• Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
• Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment.
• Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
• Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
• Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey.
• Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
• Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

Requirements

• 4+ years professional experience in data science, product analytics, or data engineering
• 1+ years professional experience working in healthcare, consumer health, or high-touch consumer products
• Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
• Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
• Passionate about improving maternal health outcomes and creating exceptional patient experiences
• Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
• Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
• A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
• Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Bonus Points

• Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications
• Background in healthcare AI, clinical decision support, or medical NLP

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Location: London, UK

Department: Sales

As the Manager of the International Partnerships, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) through our Global and Regional System Integrators (GSIs/RSIs), cloud partners (AWS and GCP), and strategic technology partners across international markets.

Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic's technical partner ecosystem across EMEA and beyond. You'll be responsible for leading & growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.

In collaboration with the Sales, Partnerships, Product, and Engineering teams, you'll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.

You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.

Responsibilities:

• Team Leadership & Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output

• Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets

• Partner Ecosystem Enablement: Embed your team with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues

• Joint Solution Development: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets

• Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance

• Partner Ecosystem & Events: Represent Anthropic at international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions

• Cross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies

• Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy

• Thought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem

You may be a good fit if you:

• 7+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• 5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.

• Track record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets

• Experience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams, and partner leadership

• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments

• Strong executive presence and ability to foster deep relationships with technical leaders and partner engineering teams

• Have at least a high-level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• A love of teaching, mentoring, and helping others succeed

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

Strong candidates may have:

• Partner SA Leadership at Scale: 5+ years leading partner-facing solution architect teams through hypergrowth, with direct experience managing both senior SAs and developing junior talent in complex partner ecosystem environments

• AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders and partner leadership in large-scale technical evaluations and joint GTM motions

• GSI Practice Building: Experience helping GSIs or consultancies build or scale their AI/ML practices, including enablement programs, certification paths, and joint solution development

Annual compensation range for this role is £170,000-£215,000 GBP.

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Your responsibilities will include:

• Designing, building, and deploying production-grade machine learning models and systems at scale
• Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Building scalable data and model pipelines with strong reliability, observability, and automated retraining
• Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions

You'll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.

To be successful in this role, you'll need:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions

Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.

At Reddit, we're committed to building a workforce representative of the diverse communities we serve. We're proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.

Responsibilities:

• Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.

• Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.

• Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.

• Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.

• Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.

• Debug and resolve complex production issues that span services and layers of the stack.

• Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.

Requirements:

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.

• Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.

• Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.

• Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.

• Strong system design skills and a track record of architecting resilient production systems.

• Excellent communication skills, with experience collaborating across teams and mentoring others.

Preferred Qualifications:

• Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.

• Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).

• A history of developing complex, real-time distributed systems at scale.

• A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.

• Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.

• Strong problem-solving skills and a bias for action,especially when tackling high-impact, gritty challenges.

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Key to this role is possessing an exceptional vocal quality, exceptional audio perception, hands-on background in sound manipulation through editing software, hosting shows, or composing tracks, and demonstrating advanced proficiency in audio principles, techniques, and quality standards.

Responsibilities:

• Use proprietary software to provide labels, annotations, and inputs on projects involving sound clips, voice recordings, and auditory elements.
• Support the delivery of high-quality curated data that ensures clear, professional audio output and accurate representation of sonic details.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle voice modulation, noise reduction, and immersive sound design.
• Work with technical staff to improve annotation tools for efficient workflows.

Basic Qualifications:

• Demonstrated high proficiency in Audio Engineering, Music Production, Communications, or a related field.
• Outstanding vocal presence suitable for recording and demonstration purposes.
• Proven skills in audio post-production, episode creation, or musical arrangement, with a deep grasp of acoustics, mixing, and signal processing.
• Proficiency in evaluating and enhancing sound quality, with strong expertise in waveform analysis, equalization, and audio format compatibility.
• Candidates must be highly proficient in at least one of the following software tools:

Pro Tools Ableton Logic Audacity Studio One FL Studio Reaper

Strong ability to reference professional standards, equipment, and best practices for annotating and refining auditory content.

• Strong communication, interpersonal, technical, and detail-oriented skills.
• Commitment to developing AI that masters sophisticated audio capabilities.

Preferred Skills and Experience:

• Portfolio of audio work, such as edited tracks, hosted episodes, or produced compositions, shared on platforms or professionally.
• Experience in sound design, broadcasting, studio recording, or roles involving auditory critique and optimization.
• Knowledge and mastery of AI-based audio restoration plugins, including Adobe Podcast Enhance, Izotope RX Series, and DX Revive Pro.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• 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 that we are unable to hire in 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, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $30/hour - $75/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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About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the Role

Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production , the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.

As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability , owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out.

Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth , you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.

What You'll Do:

• Own the Safeguards Engineering ops review
• Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.
• Drive incident tracking and post-mortem execution
• Establish and maintain SLOs with partner teams
• Maintain runbook quality and incident-ownership clarity
• Drive platform migrations and infrastructure projects
• Coordinate evals platform improvements

You might be a good fit if you:

• Have solid technical program management experience, particularly in operational or infrastructure-heavy environments , you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.
• Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why , you don't need to write the code, but you need to follow the technical thread.
• Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale , these things bother you, and you know how to build the processes and follow-ups that fix them.
• Can work effectively across team boundaries , comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication.
• Thrive in environments where the work shifts between 'keep the lights on' and 'build something new' , and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.
• Have experience with or strong interest in AI safety , you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.

Strong candidates may also:

• Have experience with SRE practices, incident management frameworks, or on-call operations at scale.
• Have worked on or with evaluation infrastructure for ML systems , understanding how evals get designed, run, and interpreted.
• Have experience driving infrastructure migrations in complex, multi-team environments , particularly where the migration touches operational systems that can't go offline.
• Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.

Deadline to apply: None, applications will be received on a rolling basis.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $290,000-$365,000 USD

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As an early-to-mid level AI Growth Specialist (BDR) at Descript, you'll be on the front lines of growth: sourcing and qualifying new business opportunities, building relationships with buyers across modern media, marketing, and enterprise teams, and creating pipeline for our Account Executives.

This role is highly cross-functional , you'll work closely with Marketing, Account Executives, Customer Success, and Product to refine messaging, target the right buyers, and iterate on playbooks that scale.

Responsibilities:

• Drive outbound prospecting through email, phone, social (LinkedIn), and inbound follow-up to generate qualified meetings for the AE team.

• Execute targeted cadences that combine personalization and scale; own the top of funnel for assigned segments.

• Qualify deals against MEDDPICC , build and maintain a healthy pipeline, and pass consistently high-quality opportunities to AEs.

• Hit weekly / monthly activity and pipeline targets (calls, emails, meetings, SQLs).

• Use CRM and sales engagement tools (Salesforce / Unify / Apollo / LinkedIn Sales Navigator) to track activity and report on funnel metrics.

• Collaborate with Marketing to test and optimize messaging, campaigns, and inbound conversion flows.

• Be the voice of the customer , share insights about buyer pain points, competitive signals, and feature requests to Product and GTM teams.

• Help evolve playbooks and onboarding materials for future SDR hires.

Requirements:

• 1–3 years of work experience (SaaS, AI or Investment Banking experience strongly preferred).

• Demonstrated success in outbound prospecting and meeting generation for quota-driven teams.

• Strong written and verbal communication skills , you can write crisp, human outreach and confidently lead discovery conversations.

• Comfortable with high activity levels and a metrics-driven approach to improvement.

• Experience using a CRM and sales engagement tools; comfortable learning and adopting new tooling and processes.

• Grit, curiosity, and the coachability to iterate quickly on feedback.

• Ability to learn our core systems to find targets within our existing customer database

• Passion for creators, video, audio, or modern content workflows is a big plus.

Nice to have:

• Experience selling to marketing, learning & development, product, or media teams.

• Familiarity with audio/video creation workflows or interest in multimedia production.

• Prior experience in a startup or high-growth environment.

• Knowledge of prospecting at enterprise accounts and navigating complex buying groups.

What success looks like (first 3–6 months):

• Consistently hitting activity and meeting targets and contributing a predictable pipeline to the AE team.

• Developing strong, scalable cadences that increase conversion rates from outreach → meeting → SQL.

• Showing strong product knowledge and independently handling discovery calls with high lead quality.

Our hiring process:

• Manager / hiring team interview (role fit & experience).

• Live or recorded roleplay / sales exercise.

• Final conversation with leadership or cross-functional partner.

• Offer.

Base salary range for this role is $60,000-$120,000/year OTE.

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Key responsibilities include:

• Defining and owning Duolingo's internal communications strategy, principles, and annual priorities;
• Leading planning and execution for cross-company forums and moments, including message development, presenter preparation, FAQs, and follow-ups;
• Partnering with senior leaders on company change communications, building clear cascades and manager toolkits that drive understanding and consistency;
• Establishing internal communication standards and guidance on channels, including templates, norms, and employee guardrails for public/social communication;
• Creating measurement for internal comms effectiveness, analysing reach, clarity, and engagement to identify improvements and inform leadership;
• Building and leading a high-performing internal comms capability, setting operating rhythms, defining workflows with People/Chief of Staff teams, and managing vendors or contractors as needed;
• Preparing executives and spokespersons for internal moments with talking points, decks review for message clarity, and coaching;
• Partnering with onboarding teams to ensure new hires understand how we communicate and where to find information;
• Anticipating issues and coordinating with Comms, Legal, People, and IT to ensure timely, accurate, and trusted internal updates.

We're looking for someone with 10+ years of experience in communications, with significant experience leading internal/employee communications at a fast-paced, product-led or tech company. You should have a proven track record building or transforming internal comms strategies, systems, and standards at scale, with clear measurement of impact.

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You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Customer Integration & Deployment

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements.

Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).

Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.

Deploy and configure AI models and agents within customer security and compliance boundaries.

AI Agent Development

Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation.

Architect multi-agent systems that orchestrate between different models, tools, and data sources.

Implement evaluation frameworks to measure agent performance and iterate toward business objectives.

Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.

Prompt Engineering & Optimization

Create sophisticated prompt engineering strategies optimized for customer-specific domains and data.

Build and maintain prompt libraries, templates, and best practices for customer use cases.

Conduct systematic prompt experimentation and A/B testing to improve model outputs.

Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate.

Leadership & Collaboration

Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts.

Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration.

Work closely with Scale's product and engineering teams to translate customer needs into product improvements.

Document technical architectures, integration patterns, and best practices.

Problem Solving & Innovation

Debug complex technical issues across the entire stack, from data pipelines to model outputs.

Rapidly prototype solutions to unblock customers and prove out new use cases.

Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems.

Identify opportunities for productization based on common customer patterns.

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Key responsibilities include:

• Building and scaling operational systems and processes to support Figma's growing experiential marketing team
• Owning and managing end-to-end event technology for Tier 1 events, including registration platforms and reporting
• Establishing best practices for event planning, execution, and post-event analysis to improve efficiency and consistency across programs
• Developing and tracking key event metrics (e.g., attendance, engagement, pipeline impact), and partnering cross-functionally to measure success

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

• 5+ years of experience in event production, event technology, event marketing, or related fields
• Strong experience building or improving event operations, systems and processes
• Excellent cross-functional collaboration skills with marketing, partnerships, and brand teams
• Familiarity with Figma and a strategic mindset with a hands-on approach; you're comfortable switching between high-level planning and detailed execution

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.

Pay Transparency Disclosure: If based in Figma's San Francisco or New York hub offices, this role has an annual base salary range of $115,000-$269,000 USD.

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In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.

Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.

To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.

Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.

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This means driving deployments from scoping through production, running the platform work that spans them, and working across API, Platform Foundations, Security, our cloud provider counterparts, and whoever else is on the critical path when dependencies and tradeoffs pile up.

Responsibilities:

• Own end-to-end program execution for Anthropic’s API across major cloud deployments, from scoping through production launch and steady-state operations

• Drive the platform programs that cut across individual deployments: the shared foundations that get built once and reused, not rebuilt per cloud

• Act as a primary coordination point with cloud provider counterparts, keeping engagement clean across multiple internal teams with touchpoints into the same partner

• Partner with engineering leadership to turn technical direction into executable plans with clear owners, dependencies, and risk tracking

• Build the program scaffolding (roadmaps, status reporting, decision logs, escalation paths) that lets a fast-moving org stay aligned without slowing down

• Drive the hard sequencing conversations when partner commitments, engineering bandwidth, and priorities are in tension, and surface them to leadership with a recommendation

• Identify where program coverage is thin relative to the load and help shape how we staff around it

You may be a good fit if you:

• Have 10+ years of technical program management experience, including ownership of large infrastructure or platform programs with many engineering teams and external partners in the mix

• Have deep technical fluency in cloud APIs, infrastructure, distributed systems, or platform engineering, enough to be a credible partner to senior engineers on architecture and sequencing, not just a tracker of their decisions

• Have run programs spanning organizational boundaries where you had no direct authority over most of the people whose work you depended on, and delivered anyway

• Have direct experience with multi-cloud or hybrid cloud environments, large-scale migrations, or building platform abstraction layers

• Have worked with major cloud providers (AWS, GCP, Azure) or similar large technology partners, and know how to keep those relationships productive when priorities diverge

• Are comfortable operating in ambiguity on the long arc while being ruthlessly concrete on what ships this quarter and who owns it

• Have a track record of making a program get cheaper to run the second and third time, not just landing the first instance

• Thrive in environments where the plan you wrote last month needs rewriting, without losing the thread on what matters

Strong candidates may also:

• Have experience with production serving infrastructure, inference systems, or ML platform work

• Have moved between senior IC and management roles, or have interest in doing so

• Have worked at a company rebuilding systems and org in flight during rapid scale-up

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This role operates in a fast-paced environment where launch timelines move quickly and turnarounds are tight. You'll need to make sharp creative decisions without the luxury of extended development cycles, pivoting when priorities shift, moving from brief to execution with speed, and delivering high-quality work under real pressure.

You're someone who can walk into a room, understand what a launch needs to communicate, and build a video strategy around it , then execute it at the highest level. You lead crews with confidence, guide collaborators through ambiguity, and know how to get great work across the finish line even when the timeline is short.

Responsibilities:

Direct and oversee video production for model and product launches, from initial creative brief through final delivery, often on compressed timelines

Develop creative concepts, treatments, and narrative strategies that translate complex AI capabilities into compelling, human-centered stories

Lead and manage production crews on set, including DPs, camera operators, sound, lighting, and other crew members

Partner with marketing, product, and communications teams to align creative direction with launch goals and messaging

Guide post-production workflows, providing creative direction to editors, colorists, and sound designers

Identify the story worth telling within a launch, taking raw elements, context, and product details and crafting a cohesive narrative arc

Build and maintain scalable production processes that can flex to meet the pace of Anthropic's launch cadence

Stay current with video production trends, launch formats, and storytelling techniques in the technology and AI space

You may be a good fit if you:

Have 6+ years of professional video directing or production experience, with a portfolio that demonstrates your ability to lead high-impact launches or campaigns

Have experience directing at a SaaS or AI company, or have worked as part of an in-house creative team in a fast-paced technology environment

Are a skilled storyteller who can take disparate elements, such as product features, brand positioning, and customer impact, and shape them into a compelling narrative

Have proven experience leading production crews on set and are comfortable owning creative decisions under time and budget pressure

Thrive under tight turnarounds and can maintain creative quality when timelines are compressed

Understand the full filmmaking process, from pre-production through delivery, and can provide informed direction at every stage

Are an excellent communicator who can articulate creative vision clearly to both production teams and non-technical stakeholders

Are proactive and calm under pressure, bringing clarity to ambiguity and keeping productions moving even when priorities shift

Are excited about the challenge of making AI launches feel meaningful to a broad audience

Strong candidates may also have:

Hands-on experience as a director of photography or camera operator

Editing experience and comfort working directly in post-production

Experience directing launch videos, keynote content, or product announcement films

Background working with technical or complex subject matter and making it accessible on screen

Familiarity with motion graphics, animation, or mixed-media storytelling techniques

Knowledge of different delivery formats and platform requirements (web, social, events, broadcast)

Experience building or scaling a video production function from the ground up

The annual compensation range for this role is $200,000-$255,000 USD.

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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time

Nice to have: Databricks Certification

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You will also build demos and examples to support your content or share the highlights of the latest research papers, and add a creative spark to Elastic's content to keep our community engaged and draw in new audiences.

As a Senior Developer Advocate, you will work independently and see projects through from idea to publication without waiting on others. You will have a solid technical background and experience in an engineering role, demonstrated ability to create a variety of content formats, comfort working independently, curiosity and adaptability to quickly pick up new tools and topics, a collaborative mindset and willingness to share ideas, and strong written and spoken communication skills in English.

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The right person for this role has extensive supply chain knowledge, has developed SOPs and implemented them, has implemented or improved ERP/WMS, and has a track record of managing expensive inventory.

Key responsibilities include:

Developing and implementing material management strategies, policies, and procedures to comply with regulations. Hiring and training talent who can manage material flow per Anduril guidelines. Developing processes that increase the efficiency and effectiveness of Anduril materials management. Implementing necessary systems that match Anduril Federal policies on management of government property and inventory management. Implementing end-to-end material management measures, including FIFO adherence, material variances, cycle time optimisation, scrap/obsolescence management, cycle/physical counting, and audits, etc., to ensure inventory accuracy and to mitigate stockouts or overstocking. Collaborating with cross-functional teams, including procurement, production, manufacturing engineering, logistics, and quality, to aid in accurate demand forecasting, procurement planning, and timely delivery of materials. Collaborating with production planning and manufacturing teams to align material availability with production schedules, minimise disruptions, and meet customer demand on time. Analysing material usage trends, identifying opportunities for process improvements, and implementing lean practices to optimise material handling, storage, and distribution. Utilising ERP and WMS software systems and tools to track inventory, generate reports, and provide data-driven insights to support decision-making and optimise material-related processes. Ensuring compliance with regulatory requirements, safety standards, and quality control protocols in all material management activities. Leading and developing a high-performing warehouse team, providing guidance, training, and performance feedback to foster a culture of excellence and continuous improvement.

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Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack.

Your primary responsibility is driving reliability , owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out.

Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.

This role sits at the intersection of operations and program management. It requires genuine technical depth , you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them.

But the core of the job is keeping the machine running well and the work moving.

Responsibilities

• Own the Safeguards Engineering ops review
• Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.
• Drive incident tracking and post-mortem execution
• Establish and maintain SLOs with partner teams
• Maintain runbook quality and incident-ownership clarity
• Drive platform migrations and infrastructure projects
• Coordinate evals platform improvements

Requirements

• Solid technical program management experience, particularly in operational or infrastructure-heavy environments
• Understanding of how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why
• Ability to work effectively across team boundaries
• Experience with or strong interest in AI safety

Nice to Have

• Experience with SRE practices, incident management frameworks, or on-call operations at scale
• Familiarity with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents)
• Experience driving infrastructure migrations in complex, multi-team environments

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Your primary focus will be on delivering an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to achieve this goal.

Key responsibilities include:

• Providing meaningful input to technical designs and direct hands-on contributions to projects in the cloud networking space
• Growing, leading, and managing a small team of talented engineers
• Supporting your team's professional growth and maintaining high performance through mentorship and coaching
• Working with tech leads, peers, and partners to define and execute on a coherent vision and roadmap for Airbnb's cloud network infrastructure and related components
• Working with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services
• Building cross-region gateways and load balancers for global Airbnb services
• Working with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services
• Nurturing a culture of technical quality from design, through code review, to production
• Building strong partnership and alignment with teams across engineering
• Nurturing relationships with open source communities and external service partners

As a successful candidate, you will have a strong background in engineering management, with 2+ years of experience and 8+ years of relevant software development experience in a fast-paced tech environment. You will also have experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, as well as experience running large-scale networking systems and software (e.g. proxies, DNS, gateways).

Additionally, you will have excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.). You will also have strong problem-solving skills and experience leading teams on-call for production infrastructure.

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As the Sr. Manager of Engineering in our newly opened NYC engineering hub, you will work closely with product and research on cutting-edge technologies and be responsible for launching and growing new products, playing a key role in defining the future of how AI and data applications are built.

The Databricks AI Gateway is an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints on Databricks. AI Gateway lets you standardize, secure, and observe all LLM inference traffic on Databricks, while capturing detailed production data to manage cost, performance, and quality over time.

Key responsibilities include:

• Leading teams building multiple products that enable our customers to use innovative ML/AI techniques to add value to their business
• Working closely with product and research on cutting-edge technologies
• Being responsible for launching and growing new products
• Playing a key role in defining the future of how AI and data applications are built

Requirements include:

• 8+ years of industry experience building and supporting large-scale data or production applications
• Experience building classic ML or GenAI systems
• A passion for building and scaling early-stage products
• Ability to adapt in a fast-paced environment
• Motivated by delivering customer value and impact
• Experience driving company initiatives towards customer satisfaction
• BS/MS/PhD in Computer Science or related majors, or equivalent experience

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.

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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues

• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines

• Documentation and white-boarding skills

• Experience working with clients and managing conflicts

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects

• Ability to travel up to 30% when needed

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 base 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 anticipated 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 $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

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This means driving deployments from scoping through production, running the platform work that spans them, and working across API, Platform Foundations, Security, our cloud provider counterparts, and whoever else is on the critical path when dependencies and tradeoffs pile up.

Responsibilities:

• Own end-to-end program execution for Anthropic’s API across major cloud deployments, from scoping through production launch and steady-state operations

• Drive the platform programs that cut across individual deployments: the shared foundations that get built once and reused, not rebuilt per cloud

• Act as a primary coordination point with cloud provider counterparts, keeping engagement clean across multiple internal teams with touchpoints into the same partner

• Partner with engineering leadership to turn technical direction into executable plans with clear owners, dependencies, and risk tracking

• Build the program scaffolding (roadmaps, status reporting, decision logs, escalation paths) that lets a fast-moving org stay aligned without slowing down

• Drive the hard sequencing conversations when partner commitments, engineering bandwidth, and priorities are in tension, and surface them to leadership with a recommendation

• Identify where program coverage is thin relative to the load and help shape how we staff around it

You may be a good fit if you:

• Have 10+ years of technical program management experience, including ownership of large infrastructure or platform programs with many engineering teams and external partners in the mix

• Have deep technical fluency in cloud APIs, infrastructure, distributed systems, or platform engineering, enough to be a credible partner to senior engineers on architecture and sequencing, not just a tracker of their decisions

• Have run programs spanning organizational boundaries where you had no direct authority over most of the people whose work you depended on, and delivered anyway

• Have direct experience with multi-cloud or hybrid cloud environments, large-scale migrations, or building platform abstraction layers

• Have worked with major cloud providers (AWS, GCP, Azure) or similar large technology partners, and know how to keep those relationships productive when priorities diverge

• Are comfortable operating in ambiguity on the long arc while being ruthlessly concrete on what ships this quarter and who owns it

• Have a track record of making a program get cheaper to run the second and third time, not just landing the first instance

• Thrive in environments where the plan you wrote last month needs rewriting, without losing the thread on what matters

Strong candidates may also:

• Have experience with production serving infrastructure, inference systems, or ML platform work

• Have moved between senior IC and management roles, or have interest in doing so

• Have worked at a company rebuilding systems and org in flight during rapid scale-up

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This isn't a pure writing role. You should come from a copy background but think like a creative director: someone who can develop the core creative concept for a launch and work closely with design to bring it to life.

You'll need genuine technical fluency with AI. Not surface-level familiarity, but the kind of depth that lets you move product storytelling beyond features and into ideas that actually resonate. The best launch creative comes from someone who understands the product well enough to find the story most compelling for our brand.

Responsibilities:

• Own the creative narrative for product launches end to end, from messaging strategy and core concept, through final execution across channels and formats.

• Partner with product marketing and brand marketing to shape narratives that connect brand storytelling with product capabilities and differentiation.

• Develop core creative concepts for launches, working closely with design to bring them to life across formats.

• Collaborate with engineering and product teams to build the technical depth needed to find stories that go beyond the surface.

You may be a good fit if you:

• Have deep experience leading creative for product launches, from concept through execution.

• Come from a copy background and think like a creative director, developing the core idea and shaping how it comes to life visually.

• Have genuine technical fluency with AI and can translate that understanding into product storytelling that goes beyond features.

• Have experience writing and directing videos and multi-format launch content.

• Can partner effectively with product marketing and brand design teams, balancing technical accuracy with creative impact.

• Thrive in a fast-moving, collaborative environment and can manage competing priorities across multiple launches without losing the thread.

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

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We're building a next-generation AI-powered platform and web application for creating audio and video content quickly and easily. This involves developing a revolutionary way to record, transcribe, edit, and mix audio and video on the web using state-of-the-art AI models,a challenge that requires solving complex technical problems. We're hiring a senior engineer to join our AI Platform and Enablement team. The ideal candidate thrives in a fast-moving, high-ownership environment and is comfortable navigating the ambiguity of bringing research work into an established product.

About the Team

The team’s objective is to support integrating cutting-edge first-party models (developed by our in-house AI Research team) and third-party/open source AI models into the Descript product.

Responsibilities

• Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs

• Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure

• Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient

• Optimise and scale our models and algorithms for efficient inference

• Deploy, monitor, and manage AI models in production

What You Bring

• Experience in deploying and managing AI models in production

• Experience with the tools of large volume data pipelines like spark, flume, dask, etc.

• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes).

• Knowledge of DevOps and MLOps best practices

• Strong problem-solving abilities and excellent communication skills.

Benefits

• Generous healthcare package

• 401k matching program

• Catered lunches

• Flexible vacation time

Fun fact about me: I love pineapple on pizza.

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You will work closely with teams across Anthropic to improve reliability across our most critical serving paths. You will be responsible for making the systems that deliver Claude more robust and resilient, whether during an incident or collaborating on projects.

To be successful in this role, you should have strong distributed systems, infrastructure, or reliability backgrounds. You should be curious and brave, comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet.

You will be working on high-availability serving infrastructure across multiple regions and cloud providers. You will support the reliability of safeguard model serving, which is critical for both site reliability and Anthropic's safety commitments.

If you're committed to creating reliable, interpretable, and steerable AI systems, and you're passionate about working on complex technical problems, we'd love to hear from you.

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You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards.

Responsibilities:

Team Leadership & Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth.

Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic's GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.

Partner Enablement & Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership.

Joint Solution Development: Lead partners in identifying high-value, industry-specific GenAI applications. Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment.

Customer Deal Support: Own the technical portion of partner-led pre-sales engagements. Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.

Product Feedback: Gather and validate feedback on Anthropic's products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.

You may be a good fit if you have:

7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM).

3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments.

Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure).

Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions.

Technical depth in enterprise AI deployments: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases.

Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike.

A love of teaching and mentoring, and a passion for advancing safe, beneficial AI.

Strong candidates may also have:

5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent.

Direct experience helping GSIs or consultancies build their AI/ML practice - enablement programs, certification paths, joint solution development.

The annual compensation range for this role is $315,000-$380,000 USD.

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Responsibilities:

• Lead and execute complex data science projects that directly advance our drug development portfolio
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
• Aid in the development and training of AI agents to automate and optimize biomedical workflows
• Collaborate cross-functionally with clinical, technical, and research teams
• Present complex analytical findings to senior stakeholders, including executive leadership

About You:

• Required Qualifications:

+ PhD in computational sciences or life sciences + 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) + Strong programming skills, particularly in Python + Extensive experience in multi-modal bioinformatics analysis

• Preferred Qualifications:

+ Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases + Strong background in machine learning and deep learning, particularly in biological applications + Experience with large language models (LLM) + Demonstrated ability to collaborate effectively with engineering teams on production systems + Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Total Compensation Range: $170,000 - $215,000

Where We Hire:

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.

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The role will support indirect supplier management and SG&A spend reduction initiatives. Key responsibilities include creating sourcing strategies for assigned categories, developing and maintaining key internal stakeholder relationships, and partnering across functions and with senior internal stakeholders and external suppliers to drive results.

To succeed in this role, you will need to have exceptional analytical and organisational skills, remarkable problem-solving skills, and the ability to prioritise appropriately to meet internal customer and company needs.

The purchasing team has aggressive objectives for 2026 that positively impact our product and bottom line. We are looking for the right person who is equipped and ready for these challenges to join our team.

Responsibilities:

• Strategy/Sourcing: Create sourcing strategies for assigned categories to reduce risk and meet targets for the purchasing department.
• Stakeholder Management: Develop and maintain key internal stakeholder relationships to create strategic sourcing models that optimise the value of products and services that support business unit requirements.
• Change Management: Successfully partner across functions and with senior internal stakeholders and external suppliers to drive results, influence others and facilitate change management across the company.
• Analysis: Responsible for advanced quantitative analysis to identify financial impacts of decisions and performance for category managed.
• Conduct research, perform benchmarking, and gather market analysis for assigned categories.
• Contract Management: Responsible for authoring contract documents with the Legal Department. Management of contracts ensuring performance of the supplier to contract obligations.
• Negotiations: Utilise negotiations to maximise value and cost savings benefits while lowering risk.
• Supplier Management: Manage preferred suppliers for assigned categories. Create and implement related management programs to develop, continuously improve, manage the performance of, and monitor KPIs of the supply base.
• Tactical Purchasing - Place purchase orders and resolve blocked invoices related to assigned categories.

Basic Qualifications:

• Advanced degree and 3+ years of experience working in one or more of the following; or bachelor's degree and 5+ years of experience working in one or more of the following:

• Engineering
• Purchasing
• Contract negotiation
• Material or production planning
• Operations or supply chain management
• Material cost control

Preferred Skills and Experience:

• Experience in a purchasing or supply chain role
• Technical skills in current technologies and applications (e.g. MS Office Suite, SQL, PowerBI, etc.)
• Experience with Construction, Facilities or Contingent Labor
• Exceptional analytical and organisational skills
• Remarkable problem-solving skills
• Ability to prioritise appropriately to meet internal customer and company needs
• Effective written and verbal communication skills, with a strong ability to communicate with all levels of internal personnel
• Detail-oriented, self-motivated, and able to respond quickly to a fast-moving and ever-changing environment
• Ability to conduct all activities with the highest integrity

Compensation and Benefits:

• $90,000 - $115,000 USD
• Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements:

• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorisations from the U.S. Department of State. Learn more about the ITAR here.

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Mixpanel is a digital analytics platform that helps teams accelerate adoption, improve retention, and ship with confidence. It has over 29,000 customers, including Workday, Pinterest, LG, and Rakuten Viber.

About the Team ==============

Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process.

Product innovation drives our business, and product engineering teams own that responsibility. The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation.

Responsibilities ===============

Lead and build AI-first product experiences from inception to global scale.

Lead an engineering team and grow its scope over time. This role is for someone who loves developing people and unlocking their potential.

Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship.

Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality.

Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust.

Requirements ============

10+ years engineering experience; 4+ years leading engineering teams

Experience building and running infrastructure supporting real-world, customer-facing web applications.

Experience building and using AI-powered products in production environments.

Proven collaboration with product managers and designers on meaningful infrastructure.

Strong judgment in technical tradeoffs, backed by lessons learned.

Evidence of leadership through influence, alignment, and growing others.

Director candidates must have experience managing managers.

Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures

High level of ownership, accountability, and product intuition

Additional Resources ====================

Engineering Life Page

Engineering Blog

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.

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 $279,000-$377,000 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.

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.

Conclusion ========

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.

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Responsibilities:

• Oversee the design, installation, configuration, and integration of AV systems.
• Perform hands-on setup, operation, troubleshooting, and maintenance of AV equipment for live events, meetings, and presentations.
• Plan and support events ranging from 300+ person internal/external events to small team meetings.
• Act as the primary escalation point for complex technical issues, ensuring minimal downtime and quick resolution.
• Collaborate with clients, event planners, IT teams, and vendors to assess needs, plan layouts, and execute AV setups for small to large-scale events.
• Develop and maintain documentation, including maintenance schedules, troubleshooting guides, inventory tracking, and system diagrams.
• Ensure compliance with safety standards, company policies, and industry best practices during installations and operations.
• Manage project timelines, budgets (for small projects), and resource allocation while maintaining profitability and quality.
• Stay current with emerging AV technologies and recommend upgrades or improvements
• Provide exceptional customer service, including on-site support and post-event debriefs

Basic Qualifications:

• Associate's or Bachelor's degree in Audio Visual Technology, Electronics, Information Technology, or a related field preferred (or equivalent experience).
• 5+ years in audio-visual technical roles, with at least 2 years in a lead, senior, or supervisory position. Experience in corporate, educational, or event environments is a plus.
• CTS (Certified Technology Specialist) from AVIXA strongly preferred; additional certifications like Crestron, Extron, Dante, or Biamp are highly desirable.
• Proficiency with AV control systems (Crestron, AMX, Extron), video conferencing (Zoom, Microsoft Teams, Cisco Webex), digital signal processing (DSP), and networking basics.
• Strong knowledge of audio/video signal flow, cabling, rigging, lighting, and projection systems.
• Experience with live event production, including mixing boards, cameras, and streaming.
• Excellent leadership, communication, and problem-solving abilities; ability to work under pressure and manage multiple priorities. Strong customer service orientation and team collaboration.
• Physical Requirements: Ability to lift heavy equipment (up to 50 lbs), climb ladders, and work in varied environments (including evenings/weekends for events). Valid driver's license may be required

Additional Requirements:

• Must be physically fit enough to regularly lift up to 30 lbs. for duties such as delivering computers, unpacking and rack-mounting equipment, etc.
• Must be willing to work extended hours and weekends as needed.
• Must be willing to travel

Compensation and Benefits: $115,000 - $145,000 Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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The Material Planner will develop and manage the production plan, including working with Purchasing to ensure component availability and scheduling production in line with availability. They will provide visibility on part shortages to purchasing and production teams and provide forecasts to the Supply Chain team for components required for production.

The ideal candidate will have a Bachelor's degree in a technical field, including mechanical/aerospace/manufacturing, electrical, or computer engineering, supply chain, or business with a technical minor or concentration. They will have experience with Lean Manufacturing and/or Continuous Improvement and Six Sigma principles in action.

The salary range for this role is $85,000-$112,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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We are looking for a highly skilled and experienced Staff Fullstack Software Engineer to join our Marketing Technology team. As a Staff Fullstack Software Engineer, you will be responsible for designing and implementing a no-code or low-code platform to bring together a thoughtful user experience for Marketing to author, segment, and plan lifecycle management of communications on onsite (airbnb.com) and offsite (emails, push notification) channels.

Responsibilities:

• Design the future state of our platform and systems by incorporating product-first mentality of our users and their end-to-end workflows
• Lead engineers,both inside and outside your immediate team,in building out these technical solutions
• Participate in the development of product and UX requirements by engaging early and often with designers, product managers and Marketing stakeholders to help steer teams on the most efficient path towards overall goals
• Nurture a culture of technical quality from design, through code review, to production operations
• Mentor other engineers in developing their technical and collaboration skills
• Identify and propose solutions to problems coming in the way of technical and product engineering excellence
• Collaborate with internal teams across Marketing Technologies, ML, Growth Marketing, and Creative

Requirements:

• 9+ years of experience in a hands-on software engineering role
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
• Technical leadership: hands on experience leading project teams, setting technical direction and strategy and mentoring engineers
• Passionate about efficiency, availability, technical quality and system quality
• Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment
• Proven experience in defining product/technical strategy and driving alignment with cross-functional leaders and stakeholders
• Strong communication and collaboration skills with experience driving initiatives that span across teams, departments and leadership

Salary:

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 $204,000-$255,000 USD

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The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components,including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms.

Your responsibilities will include:

• Providing technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability.
• Building and enhancing infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies.
• Driving strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient.
• Defining best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration,while mentoring engineers to follow your lead.
• Partnering with hardware, software, and operations teams to align infrastructure with business impact.
• Contributing to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership.
• Leading and improving CI/CD pipelines for hardware compliance, firmware management, and data systems.
• Championing reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.

We're looking for someone with a strong background in software engineering, particularly in infrastructure, cloud engineering, and distributed databases. You should have experience with Go and a proven track record of building REST/gRPC APIs for mission-critical platforms. Additionally, you should be familiar with architecting and scaling cloud-native Kubernetes infrastructure and distributed services.

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Your responsibilities will include leading composite production operations, driving production excellence, championing quality and safety, developing and mentoring talent, leading continuous improvement, and ensuring clear and strategic communication of production priorities, progress, potential risks, and resource requirements to senior leadership and cross-functional stakeholders.

Required qualifications include a minimum of 7 years of progressive experience in advanced composite manufacturing and production environments, including at least 3 years in a direct leadership or management capacity. Demonstrated mastery of ERP and MES systems, coupled with a deep, practical understanding and application of NPI (New Product Introduction) processes, Lean manufacturing principles, and change management (ECOs) is also essential.

Preferred qualifications include composite materials and fabrication processes, exceptional ability to interpret and apply complex technical documentation specific to composites, and experience capturing key shop floor metrics (like OEE) and driving actions to improve them.

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The Quality Inspector will support the Manufacturing/Production teams, and be responsible for learning and executing detailed inspection processes necessary to ensure a quality product in a timely manner. Some of the daily duties will include inspecting incoming materials, equipment, and products to ensure quality specifications are met. Additionally, you'll investigate/troubleshoot product and production issues, take corrective action as well as implement standards/specifications/processes cross-functionally with Quality Teams.

Experience with Calibrated equipment (calipers, micrometers, CMM etc.) is required. Experience reading and interpreting engineering drawings (wire diagrams, work instructions, CAD) is also required. Geometric Dimensioning and Tolerancing (GD&T) knowledge, understanding dimension and tolerancing is necessary. Experience with inspection of machined parts and mechanical assemblies is required. Experience with inspection of Electrical and Electronic Components (Power Supplies, PCBs, wire-harnesses) is also required. Experience in a facility with AS9100, ISO9001, IATF 16949 or similar QMS standard is necessary. Experience with validation and testing assemblies and their components is required. Experience with communicating with suppliers and cross functional teams is necessary. U.S. Person Status is required as this position needs to access controlled data.

Technical or Associates degree in related quality/mechanical/aerospace engineering field is preferred. 3+ years experience in a quality assurance or inspection role in a manufacturing/production setting is also preferred. IPC-A-610 or IPC-A-620 Certification is preferred. Basic knowledge using various measuring tools and hand tools (e.g. tape measure, caliper, micrometer, drivers etc.) is necessary. Experience with Manufacturing processes and their related systems (Jira, MES, ERP, Teamcenter, CAD) is preferred. Knowledge of First Article Inspection requirements and processes is necessary. Highly motivated team player who is willing to support a fast paced team environment is required. Detail oriented self starter with minimal oversight is necessary. Strong ability to communicate with different cross functional teams is required. Able to obtain and maintain an active U.S. Secret security clearance is necessary.

US Hourly Range $25-$33 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 - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. - UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. - IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits - Income Protection: Anduril covers life and disability insurance for all employees. - 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 - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. - UK & IE Roles: Pension plan with employer match. - AUS Roles: Superannuation plan.

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As of February 2025, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.
• AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

About the Security Team

The mission of the Security Engineering team at dbt Labs is to provide clear, opinionated security guidance and scalable, secure-by-default offerings to engineers for the purpose of securing software development and enabling pragmatic risk decisions at dbt.

Responsibilities

As a Senior Security Operations Engineer on the Detection & Response team, you will strengthen and maintain the company's security posture throughout the threat detection lifecycle from telemetry collection and continuous monitoring through threat detection, incident response, and security event management. You will serve as a subject matter expert for security operations across the dbt Labs' teams and technology infrastructure, including multi-cloud production environments, identity, endpoints, and SaaS technologies.

Key Responsibilities

• Participate in a 24/7 on-call rotation providing coverage for active security incidents, investigations, and security events across our global infrastructure.
• Lead investigation and remediation of security incidents, coordinating cross-functional response efforts to minimize impact and recovery time.
• Play a major role in bootstrapping an end to end D&R alert and investigation pipeline.
• Triage and investigate security alerts from detection tools including Wiz Defend, Crowdstrike, and cloud security platforms to identify genuine threats and reduce false positives.
• Develop and maintain detection rules, runbooks, and response procedures mapped to the company's threat model.
• Automate alert triage workflows and improve mean time to detection and response through tooling and process enhancements, including leveraging AI enrichment and processing.
• Collaborate with Infrastructure and Application Security teams to implement secure-by-design principles and remediate identified security issues.
• Conduct security event analysis to identify policy violations, misconfigurations, and potential attack vectors before they become incidents.
• Partner with our Enterprise Security & Technology team to enhance endpoint security controls and monitoring across endpoints (MacOS laptops & some Windows and Linux-based development environments).
• Design and facilitate tabletop exercises and game days to test detection, response, recovery, and remediation capabilities.
• Contribute to the maturation of the security incident response program through documentation, training, and process improvements.
• Mentor junior security engineers and cross-functional team members on incident handling best practices.

Requirements

• Demonstrated ability to excel in high-pressure situations; we need someone who can make sound decisions during active security incidents and can calmly serve as incident commander with confidence.

Qualifications

• Have 8+ years of professional experience in security-related domains, including at least 4 years in security operations, incident response, threat hunting, or threat detection roles.
• Have demonstrable experience leading security incident investigations and coordinating cross-team response efforts.

What We Offer

• Competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.
• Opportunity to work with a leading analytics engineering platform and contribute to the growth and success of the company.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Opportunities for professional growth and development.

How to Apply

If you are a motivated and experienced security professional looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

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Your primary responsibilities will include providing tactical scheduling and strategic long-range planning expertise to our production teams. You will coordinate, review, plan, and schedule inputs from the business and planning to create an integrated master schedule. You will also utilize Foundry and other applications to ensure work is scheduled and prioritized accurately and efficiently, and resources are allocated appropriately.

In addition, you will prepare daily work schedules, track work progress, update project critical path schedules, and advise leadership of needed adjustments to daily work activities. You will perform schedule baseline change control, collection, and tracking performance, critical path analysis, and variance analysis as required.

You will ensure requisite production requirements are properly scheduled to facilitate an efficient production process. You will schedule production, operations planning, and engineering support to eliminate obstacles and deliver product on time. You will also coordinate support from other internal resources such as inspection, testing, engineering, and supply chain as needed to meet program deliverables.

As a Production Scheduler, you will lead efforts to uncover root-cause and develop permanent resolution on issues found during product builds as required. You will identify and support improvement opportunities for product yield, quality, safety, cost, and team efficiency. You will also identify process automation opportunities and drive organizational efficiency improvements.

You will organize and communicate the daily priorities to production coordinators, team leads, and supervisors as required. You will provide daily visibility, weekly status, and monthly reviews on schedule performance. You will develop and analyze metrics that tie production to enterprise goals as required.

Finally, you will lead the creation of scheduling tools and initiatives in support of Anduril's overall scheduling maturation.

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You'll serve as a technical anchor for the team, working closely with your engineering manager, product manager, and partners across Site Reliability Engineering, Release, Security, and Development to shape cloud-native, operator-driven deployment patterns that reduce operational complexity and upgrade friction.

In your first year, you'll help define the architecture for zero-downtime upgrades, strengthen observability and reliability practices, and guide the next generation of deployment automation for self-managed GitLab environments.

Some examples of our projects:

• Evolving GitLab Operator and Helm charts to support zero-downtime upgrades for complex, stateful GitLab installations

• Advancing the GitLab Environment Toolkit to simplify large-scale, production-ready self-managed deployments

Responsibilities

• Guide the technical vision and architecture for GitLab's cloud-native, self-managed deployments and upgrade workflows.

• Establish operational maturity standards, service integration patterns, and deployment models that help development teams manage the lifecycle of their components.

• Design and maintain Kubernetes Operators, Helm charts, and upgrade orchestration tooling for self-managed GitLab deployments across varied environments.

• Develop automation and integration frameworks for database migrations, rolling deployments, compatibility checks, and rollback paths.

• Define database and application lifecycle strategies, including safe PostgreSQL migration approaches and validation mechanisms that reduce downtime risk.

• Work with Product Management, GitLab.com Site Reliability Engineering, GitLab Dedicated, and development teams to align deployment patterns with customer needs.

• Mentor engineers and enable customer-facing teams through design reviews, code reviews, documentation, and runbooks.

• Drive observability, testing, performance, and resilience practices for self-managed deployments, and contribute to incident response and post-incident learning.

Requirements

• Strong software engineering experience designing and delivering production systems that customers install and operate in their own infrastructure.

• Proficiency in Go for large, complex codebases, with familiarity with Ruby on Rails and Rails application architecture as a useful addition.

• Hands-on experience with Kubernetes in production, including building and maintaining Operators, designing Helm charts for stateful applications, and working with Custom Resource Definitions, admission controllers, and controller patterns.

• Knowledge of cloud-native systems and tooling, such as service mesh, observability stacks, infrastructure as code, and automation tools like Terraform or Ansible.

• Experience with stateful workloads and databases, including PostgreSQL schema design and migrations, persistent volumes, storage classes, and approaches for reducing downtime during upgrades.

• Understanding of Linux systems and production operations, including package management, systemd, system-level debugging, observability, incident response, and on-call participation.

• Ability to guide through influence, including writing clear technical proposals, documenting decisions, mentoring engineers, and working effectively across teams.

• Interest in open source infrastructure or deployment tooling, or transferable experience from adjacent domains, with the ability to explain technical concepts clearly to different audiences.

About the Team

The Delivery - Upgrades team sits within GitLab Delivery and focuses on delivering GitLab to self-managed users through supported, validated deployment tooling. We own and evolve the GitLab Omnibus package, Helm charts, GitLab Operator, and the GitLab Environment Toolkit, and we work asynchronously across regions with partners in Site Reliability Engineering, Release, Security, and Development.

Our work centers on enabling zero-downtime upgrades, reducing operational complexity at scale, supporting GitLab’s cloud-native transition while continuing to serve existing deployments, and improving the upgrade experience for customers running GitLab in diverse environments.

For more on how we work, see [Link: Team Handbook Page].

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This high level of growth and change requires a senior, experienced leader to coordinate across multiple engineering and production teams. You will have to dive deep into the details and get excited about things like serial effectivity of parts, inventory controls, procurement bill of material management, and harness development release standards.

You will be responsible for finding the gaps and risks before anyone else does and identifying and implementing the right solutions. You will partner with design, sustainment, supply chain, manufacturing, and quality teams to orchestrate and guide the drawing releases, part procurement, and capacity planning needed to make that growth a reality.

Key responsibilities include serving as a key interface between business, engineering, and production functions, overseeing the introduction of multiple new products to production, spearheading the ramping of engineering and production resources to expand production by an order of magnitude in one year, coordinating engineering teams to respond to production needs and requirements, and triaging production and engineering resources against emergent customer opportunities to deliver on new and existing business commitments.

Qualifications include demonstrated experience overseeing the transition of multiple complex hardware products from prototype to production, past work as a key partner with, and leader of, hardware engineering teams, proven ability to work with production teams, including manufacturing engineering, production, quality, sourcing, and planning, and a successful track record operating in scaling environments with high degrees of change and ambiguity.

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You will document and share your knowledge with the rest of the organization and our customers using Knowledge Centered-Services (KCS) methodology. You will also have a mindset of continuous improvement, in terms of efficiency of support processes and customer satisfaction.

To be successful in this role, you will need to work across multi-cultural and geographically distributed teams. You will have 3+ years of proven experience in Technical Support in a Software business, a technical background in fields like Information Technology, Network Engineering, Software Engineering, and a 'Customer First' mindset.

You will be a team player, able to work in a fast-paced environment with a positive and adaptable approach. You will have knowledge of databases (SQL / No SQL) or search software technologies, experience with SaaS and/or Distributed systems, experience with Linux/Unix, experience with APIs, familiarity with Knowledge Centered-Services (KCS), and highly collaborative.

Native Korean language skills and professional working proficiency in English are required, as well as effective verbal and written communication skills.

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Key responsibilities include:

• Working across the production floor to make sure parts are stocked and available when needed
• Identifying, pulling, packing, crating, labeling, loading, and securing product
• Ensuring orderly production and distribution of products by pulling orders from inventory, delivering production materials and supplies where needed
• Completing cycle counts and conducting all activities with inventory accuracy as a top priority
• Maintaining inventory by identifying, labeling, and keeping materials and supplies in stock, recording location of inventory, and reporting shortages
• Operating forklifts, pallet jacks, and other machinery to move items, or signaling machine operators to move materials onto and off trucks and loading docks
• Couriers inventory as needed between Anduril's sites in Irvine, Santa Ana, and Costa Mesa
• Expediting flow of material, parts, and assemblies within or between departments in accordance with production and shipping schedules

Required qualifications include:

• 2+ years as a warehouse associate or equivalent role
• Ability to work in a fast-paced environment
• Strong attention to detail and good communication skills
• Valid driver's license
• Ability to be onsite, local to Irvine, CA, Santa Ana, CA, and Costa Mesa, CA
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

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The Quality team is responsible for a wide range of activities that are crucial to the manufacturing process including operating equipment, assembling products, performing quality control checks, and maintaining a safe and efficient work environment.

The Quality Inspector will support the Manufacturing/Production teams, and be responsible for learning and executing detailed inspection processes necessary to ensure a quality product in a timely manner. Some of the daily duties will include inspecting incoming materials, equipment, and products to ensure quality specifications are met. Additionally, you'll investigate/troubleshoot product and production issues, take corrective action as well as implement standards/specifications/processes cross-functionally with Quality Teams.

Required qualifications include experience with calibrated equipment, reading and interpreting engineering drawings, geometric dimensioning and tolerancing knowledge, and experience with inspection of machined parts and mechanical assemblies.

Preferred qualifications include technical or associates degree in a related quality/mechanical/aerospace engineering field, 3+ years experience in a quality assurance or inspection role in a manufacturing/production setting, and IPC-A-610 or IPC-A-620 certification.

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CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

About the Role

Production Engineering ensures CoreWeave’s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success.

In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments.

This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.

What You’ll Do

• Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.

• Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.

• Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.

• Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.

• Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.

• Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.

• Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.

• Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.

• Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.

What You’ve Worked On (Minimum Qualifications)

• 7+ years of engineering experience building and operating distributed systems or cloud platforms.

• Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.

• Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.

• Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.

• Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.

• A track record of successfully delivering hands-on reliability improvements through engineering execution.

Preferred Qualifications

• Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.

• Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.

• Background operating or building large-scale AI or GPU-accelerated infrastructure.

• Experience maintaining multi-year ownership of foundational production systems.

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

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

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

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

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

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

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

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

California Consumer Privacy Act - California applicants only

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Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.

We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.

About the role:

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning
• Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)

Preferred:

• Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX
• Background in building internal developer platforms or self-service infrastructure

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match.

Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love building highly reliable systems that operate at scale
• You’re curious about how to continuously improve system resilience, security, and operations
• You’re an expert in diagnosing and solving complex distributed systems problems

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

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

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.

New hires will be invited to attend onboarding at one of our hubs within their first month.

Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.

All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.

To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without restrictions, or (C) otherwise exempt from the export regulations.

If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.

Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce's Export Administration Regulations (EAR) and the U.S. Department of State's International Traffic in Arms Regulations (ITAR).

By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.

If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.

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The ideal candidate will have a strong background in supply chain or production, with experience in a fast-paced manufacturing environment dealing with complex assemblies. They will also have technical expertise, including the ability to read technical documentation and understand hardware manufacturing processes. Additional preferred qualifications include experience with ERP systems, SQL databases, and data analysis and reporting tools.

This is a full-time role that requires the ability to travel up to 10% of the time. The salary range for this role is $98,000-$130,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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You'll partner with a small, senior Rust-first team to ship reliable graph capabilities and make them easy for other teams and agents to use. The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features.

In this role, you'll own core parts of the system end to end: shaping the architecture, hardening multi-tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities. In your first year, you'll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.

Key responsibilities include:

• Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.

• Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.

• Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. This includes multi-hop traversals, aggregations, and multi-tenant isolation. Document trade-offs so the broader team can move quickly and stay aligned.

• Defining and improving operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.

• Collaborating asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform-level dependencies, and land features in a way that is safe for customers and sustainable for the team.

• Applying AI-assisted development workflows responsibly (for example, using MCP-aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.

• Mentoring and supporting other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.

• Contributing across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.

This role requires significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms. Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase are essential. Additionally, strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs, are necessary.

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Key Responsibilities: Assess Training Needs: Partner with manufacturing, quality, and operations leaders to identify skill gaps, define learning priorities, and align training to site and business objectives. Design and Develop Training: Create or adapt technician and leadership training content, materials, and hands-on learning experiences to meet site-specific needs. Scope & Manage Learning Projects: Own training project plans end-to-end , from needs analysis and design through delivery, resource planning, and post-training evaluation. Deliver & Facilitate Training: Facilitate technician and leadership development programs; coach team trainers to deliver engaging and effective sessions. Manage Manufacturing Onboarding: Ensure the Technician Training team delivers consistent, high-quality onboarding for all new manufacturing hires at the Ohio site. Plan & Schedule Training: Maintain a site-wide training calendar, coordinate resources, and align delivery timelines with production schedules. Track Outcomes & Drive Continuous Improvement: Measure training effectiveness through pre- and post-training metrics; use data and feedback to continuously improve content and delivery. Collaborate & Communicate: Act as a key liaison between production leaders, L&D, safety, and quality to ensure alignment and seamless rollout of new training initiatives. Lead and develop the Tech Training Team: Provide direction and support to technician trainer(s), ensuring excellence in facilitation, documentation, and execution. Enable internal training capability: Develop and facilitate train the trainer programs, and provide resources that enable teams to deliver their own effective training. Partner and expand impact: Engage with vendors and external partners to develop specialized training solutions and strengthen local talent pipeline

Requirements: 8+ years of experience in Learning & Development, Technical Training, or similar roles People leadership experience Proven ability to design, manage, and deliver training programs from concept to completion Strong facilitation skills , able to engage and train both technicians and leaders Excellent organizational skills and ability to manage multiple concurrent projects Experience in a manufacturing or production environment strongly preferred Strong collaborator and communicator who can partner effectively with cross-functional teams Data-driven mindset with a focus on training impact and measurable outcomes Eligible to obtain and maintain an active U.S. Secret security clearance

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Lead and mentor a team of quality inspectors, ensuring the consistent delivery of quality performance for various product lines. Train team members on work instructions, procedures, and hands-on inspection techniques, maintaining accurate training records. Develop and maintain quality control standards, ensuring their consistent application through effective staff training. Author and update standard operating procedures (SOPs) related to inspection and quality control processes. Drive through ambiguities and uncertainties in inspection methods, inspection order execution, and planning to provide inspectors with tactical guidance and direction for execution. Collect and statistically analyse data to inform decision-making and identify areas for improvement. Manage and align resources to support various inspection operations, including Incoming/Receiving Material Inspection, In-process inspection, End-of-line Inspection, material containment/ad-hoc inspections. Continuously monitor processes to identify opportunities for enhancement and efficiency gains. Collaborate with cross-functional leaders and departments to ensure timely product delivery while maintaining quality standards. Ensure all inspection areas adhere to established processes, best practices, and utilise appropriate work instructions, procedures, and tools. Partner with Quality Engineering to contribute to Quality roadmap initiatives. Provide readiness for internal auditing and compliance reviews.

Required Qualifications:

• 5+ years of progressive Quality and/or Regulatory experience within the Aerospace, Defence, or Automotive industries.
• 3+ years of experience in a Management or supervisory role.
• Strong understanding of Quality Management Systems & AS9100 requirements.
• Prior exposure to the manufacture of electronic components for Aerospace applications.
• Strong attention to detail, observation, organisational, and leadership skills.
• In-depth knowledge of Quality Improvement and Lean Manufacturing methodologies.
• Excellent organisational, problem-solving, and analytical skills.
• Excellent communication and interpersonal skills.
• Strong leadership and decision-making abilities in a production environment.
• U.S. Person Status is required as this position needs to access controlled data.

Preferred Qualifications:

• Technical degree in a related quality/mechanical/aerospace engineering field.
• ASQ Certified Quality Engineer, Quality Improvement Associate, or equivalent.
• IPC-A-610 or IPC-A-620 Certification.
• Knowledge of 6 Sigma, TQM, TPS, Lean, and Low Rate Production methodologies.
• Experience with inspection of Electrical and Electronic Components (Power Supplies, PCBs, wire-harnesses).
• Experience with data systems, QMS software, automated data collection tools, and generating reports, data visualisation, and data queries.
• Experience in drafting and revising standard operating procedures and quality troubleshooting guides for inspection and quality control processes.
• Experience with Manufacturing processes and their related systems (Jira, MES, ERP, Teamcenter, CAD).
• Experience with auditing processes and procedures in a manufacturing environment.
• Experience with validation and testing sub-assemblies and components.
• Experience with selecting, buying, qualifying, and implementing inspection equipment.
• Experience working with suppliers along with Sourcing and Supplier Quality Engineering teams.
• Detail-oriented self-starter with the ability to work with minimal oversight and communicate effectively with cross-functional teams.
• Proficiency with computer-aided design (CAD) software and inspection data management software.

Travel:

• 50% travel required to local manufacturing sites and HQ in Orange County
• 5% travel to other Anduril sites out of state.

Physical Demands and Working Conditions:

• Ability to lift up to 35 pounds
• Work in clean room environments
• Use of precision optical tools and equipment
• Visual acuity and colour discrimination required for inspection
• Adherence to laser safety and contamination control protocols

Salary Range: $86,000-$114,000 USD

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We are seeking a Manufacturing Engineer with a Mechanical/Mechatronic Engineering background to join our team in Sydney, Australia.

As a Manufacturing Engineer, you will leverage deep technical expertise to solve complex manufacturing challenges, drive technology insertion, and ensure the manufacturability of next-generation products from the earliest stages of design.

Key Responsibilities:

• Provide expert Design for Manufacturability (DFM) and Design for Assembly (DFA) feedback, influencing designs to ensure they are compatible with capable and cost-effective manufacturing processes.

• Analyze engineering drawings, material selections, and tolerance stacks to identify and mitigate manufacturing risks early in the product lifecycle.

• Investigate and resolve production line-down situations, assembly problems, process deviations, and tooling issues to minimize downtime and maintain schedule.

• Provide clear and concise interpretation of engineering drawings, specifications, and work instructions to the production team.

• Develop, maintain, and continuously improve detailed manufacturing work instructions, assembly guides, and Standard Operating Procedures (SOPs) to ensure clarity, repeatability, and quality.

• Manage these requirements within Anduril’s MES.

• Serve as the technical lead for investigating complex or systemic production issues, conducting deep-dive Root Cause Analysis (RCA) to identify fundamental process flaws.

• Develop novel tooling solutions for fabrication and assembly of structural parts.

• Assess the process impact of Engineering Change Notices (ECNs) and define the necessary requalification and validation activities.

• Provide support to Supply Chain in the technical qualification and development of critical suppliers, assessing their process capabilities to meet demanding engineering requirements.

• Collaborate on the design and optimization of workstation and production line layouts to enhance ergonomics, safety, and efficiency.

• Foster a collaborative environment that encourages knowledge sharing and team engagement.

Requirements:

• 5+ years of hands-on experience in a manufacturing environment (e.g., aerospace, defense, medical device, complex electronics).

• Bachelor’s degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or a related technical field.

• Proven ability to troubleshoot technical manufacturing issues and lead root cause analysis.

• Experience with Lean Manufacturing and continuous improvement methodologies.

• Demonstrated experience reading and interpreting complex engineering drawings, schematics, and specifications, including a strong understanding of GD&T (Geometric Dimensioning and Tolerancing).

• Excellent communication and interpersonal skills, with the ability to work effectively with operators, technicians, and senior management.

• Prior knowledge and interaction with a Manufacturing Execution System (MES) for production operations

• Prior knowledge of Oracle (ERP), Teamcenter (PLM) or similar systems.

• Ability to obtain and maintain an Australian Government Security Clearance (NV2).

Preferred Qualifications:

• Production line design and set up including Value Stream Mapping, material flow, workstation and tooling design.

• Experience with work instruction authoring and MBOM configuration.

• Experience with CAD software (NX, Solidworks, Siemens/Teamcenter)

Salary Range: 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.

Required Skills:

• Design for Manufacturability (DFM)

• Design for Assembly (DFA)

• Root Cause Analysis (RCA)

• Lean Manufacturing

• Continuous Improvement

• Geometric Dimensioning and Tolerancing (GD&T)

• Manufacturing Execution System (MES)

• Oracle (ERP), Teamcenter (PLM) or similar systems

Preferred Skills:

• Production line design and set up

• Work instruction authoring and MBOM configuration

• CAD software (NX, Solidworks, Siemens/Teamcenter)

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In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:

• Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with.

• Define what success looks like across our agent portfolio and make sure we're tracking against it , not just shipping, but learning.

• Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.

• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.

• Build the instrumentation and observability layer that makes agentic CI trustworthy , trigger volume dashboards, retry rates, cost safeguards , so we can measure what's working, catch what isn't, and iterate with confidence.

• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

You'll shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. You'll design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform. You'll define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate. You'll build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. You'll own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data. You'll write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. You'll lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. You'll share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI.

This role requires advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. You should have strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. You should have hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. You should have practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. You should have a data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. You should have familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. You should have strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. You should have clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.

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Key responsibilities include:

• Working closely with the Design Manager, copywriters, UX designers, and extended teams on conceptual development, design, and execution across key digital creative briefs
• Partnering with other senior designers on the team to elevate work with innovative prototyping (interaction, motion, and visual design)
• Clear understanding of project briefs and ability to craft thoughtful design solutions
• Articulate and present ideas in a clear and concise manner; accept constructive feedback and execute against it efficiently
• Ensure the consistency of the brand and the highest quality of design across all projects
• Natural curiosity and passion to learn about and share insights on design and industry trends

Requirements include:

• BA or BFA in Art/Design or related field
• Extraordinary design skills
• World-class portfolio of work
• Strong communication presentation skills; proven ability to present to executives/leaders
• Highly organized and able to work collaboratively across multiple projects
• 5+ years experience designing in a digital creative agency or client-side group; B2B / tech experience is a plus
• Expert knowledge of Figma
• Expert knowledge of modern prototyping tools like Framer, Figma sites, etc.
• Experience with high-fidelity prototyping
• Motion design skills for web
• Familiar with the creative process, partnering with UX designers, copywriters, web production, and development teams
• Experience working in AEM and AI tools a plus
• Working knowledge of HTML and CSS, a big plus for JavaScript or other frameworks

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The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products
• Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

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.

Local Pay Range $166,000-$225,000 USD

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