We're building the foundation models that power the next wave of visual intelligence, and pretraining is where that work begins. This role sits at the center of our research effort, shaping training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models.

Responsibilities

• Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies)
• Develop and evaluate novel ideas across architecture, optimizers, and training algorithms
• Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design
• Lead focused research projects independently and drive larger cross-team initiatives

Requirements

• You've led or co-owned pretraining for a foundation model (image, video, LLM, or multimodal) that shipped to production or a major release
• Own architectural calls that move the model: attention patterns, modulation schemes, loss formulations, tokenization strategies
• Deep experience with large-scale distributed training: FSDP/TP/PP, multi-node runs at 500+ GPUs, debugging loss spikes, NaNs, throughput regressions, and silent correctness issues at scale
• Strong intuition for architecture and objective design , you've made calls on attention patterns, modulation schemes, or loss formulations that moved a real model
• Track record of shipping: top-venue publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) paired with production impact, or unambiguous production wins at a frontier lab
• Deep Python and PyTorch proficiency; comfortable reading and modifying low-level training code
• Familiarity with visual generative models is a must

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

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The Medical Director, Small Cell Lung Cancer is a pivotal role within the US Oncology Medical Affairs organization. Reporting directly to the Medical Head, this position is accountable for driving medical plans for specific or multiple indications within a designated disease area.

Key responsibilities include:

• Driving Medical Plan Development: Coordinate development of the integrated Medical Affairs Plan (iMAP), complete key projects, and track budget spend
• Leading Launch Readiness: Support Launch Readiness Reviews (LRR) by coordinating and supervising pre-launch activities, ensuring timely execution of endorsed LRR plans
• Shaping Field Engagement Strategy: Synthesize field insights into practical tactics, connect with business collaborators, and modify plans as necessary
• Implementing MALT Directives: Complete all Medical Affairs Leadership Team (MALT) initiatives as requested

Cross-functional collaboration includes:

• Facilitating Quarterly Reviews: Support quarterly iMAP reviews at the Core Medical Team (CMT) in collaboration with the Medical Lead
• Reviewing Promotional Materials: Support the Promotional Materials Review Team (PMRT) by reviewing derivative content for scientific accuracy and compliance
• Providing Cross-Functional Coverage: Support the Medical Lead on the CMT

External engagement and stakeholder management involves:

• Driving Key External Expert (KEE) Engagement: Implement and supervise KEE engagement plans with follow-up to improve engagement and impact
• Implementing Advisory Boards: Independently set meeting objectives, develop discussion guides, and lead communications with vendors to execute effective Advisory Boards
• Leading Congress Activities: Plan congress activities, gather insights, handle communications, and partner with Field leadership to ensure effective pull-through at events

Evidence and medical education includes:

• Overseeing Evidence Reviews: Conduct evidence publication reviews and participate in Medical Education Grants Office (MEGO) selection processes
• Implementing Medical Projects: Complete Medical projects while staying within scope and budget

Patient-centricity involves:

• Building Patient Insight Capability: Work closely with Medical Affairs colleagues on research alliance initiatives, capability development programs, and tools/technology initiatives

Compliance and ethics require:

• Maintaining Compliance Standards: Adhere to all ethical and compliance standards as determined by the organization and/or market regulations

Essential requirements include:

• Advanced Medical/Scientific Degree (Masters minimum; advanced degree strongly preferred in a scientific background)
• 3+ years of Medical Affairs experience in the pharmaceutical industry (including at least 1 year of headquarter experience)
• Headquarters Medical Affairs Experience: Prior experience in pharmaceutical industry headquarters Medical Affairs functions
• Stakeholder Management Expertise: Validated experience in relationship and collaborator management with the 3 P's (Payers, Providers, and Patients)
• Project Management Skills: Demonstrated project and relationship management experience
• Clinical Research Knowledge: Experience with evidence generation and clinical trial methodology
• Business Acumen: Foundation knowledge in business operations and strategy
• Financial Management: Foundation knowledge in financial management and budget tracking
• Matrix Team Functionality: Specialist-level experience working effectively in matrix organizations

Preferred requirements include:

• PharmD, MD, PhD
• Technical & Regulatory Expertise: Understanding of technical, regulatory, policy, and real-world evidence generation dimensions
• Budget Management: Direct experience leading departmental or project budgets
• Strategic Planning: Experience developing and delivering country-level medical affairs plans

The annual base pay for this position ranges from $193K to $289K.

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We currently have 700 open roles

Innovation Starts Here

Job Summary

We are seeking a highly skilled Principal AI Engineer to lead the architecture and hands-on development of enterprise agentic AI platforms across core business domains. As a key member of our cross-functional engineering team, you will build and deploy AI copilots and multi-agent workflows for business teams, embed AI directly into enterprise workflows, and ensure seamless integration with ERP and CRM systems.

Key Responsibilities

• Lead the architecture and hands-on development of enterprise agentic AI platforms across core business domains
• Build and deploy AI copilots and multi-agent workflows for business teams (Legal, Finance, Sales, HR, Operations) using Microsoft AI Copilot, SAP BTP, Salesforce, and other platforms
• Embed AI directly into enterprise workflows, ensuring seamless integration with ERP and CRM systems
• Design, implement, and govern secure AI solutions utilizing MCP (Model Context Protocol) and A2A (Agent-to-Agent) orchestration standards
• Develop scalable APIs and microservices in Python and C#, supporting robust, production-ready AI deployments
• Ensure production readiness through best practices in CI/CD, observability, reliability, and continuous evaluation
• Mentor engineers, lead architectural discussions, and collaborate with cross-functional business and technical stakeholders

The Impact You Will Have

• Drive the adoption of agentic AI across Synopsys' core business systems, setting standards for enterprise AI integration and governance
• Deliver high-visibility, high-impact AI solutions that transform business processes and decision-making for teams company-wide
• Shape the architecture and best practices for scalable, secure, and reliable AI across hybrid and multi-vendor environments
• Empower business teams to leverage AI copilots and intelligent workflows for increased productivity and innovation
• Mentor and upskill engineering teams, fostering a culture of excellence, collaboration, and forward-thinking AI adoption
• Ensure AI solutions meet enterprise standards for security, compliance, reliability, and operational excellence

What You’ll Need

• 10–15 years of software engineering experience, with a focus on enterprise systems
• Expert-level proficiency in both Python and C#
• Hands-on experience building and operating production AI/GenAI systems integrated with ERP and CRM platforms
• Deep understanding of agentic AI, RAG, multi-step workflows, and enterprise-grade AI architecture
• Proven experience with Microsoft AI Copilot, Copilot Studio, Microsoft AI Foundry, SAP BTP, and Salesforce AI (including Einstein and agentic capabilities)
• Expertise in microservices, API development, CI/CD pipelines, and cloud deployments
• Experience with SQL, NoSQL, and vector databases
• Preferred: Familiarity with LangChain, LangGraph, LlamaIndex, MCP, A2A, and prior support for business functions such as Legal, Finance, Sales, or HR

Who You Are

• Enterprise-minded engineer with a strong platform and architecture focus
• Hands-on leader who enjoys mentoring and collaborating across business and technical teams
• Pragmatic, delivery-oriented, and able to translate business needs into robust AI solutions
• Adaptable and comfortable working in fast-changing, multi-vendor, and hybrid environments
• Excellent communicator, able to articulate complex technical concepts to diverse audiences
• Committed to continuous learning and keeping pace with the latest in AI and enterprise technology

The Team You’ll Be A Part Of

You will join a cross-functional, forward-thinking engineering team responsible for embedding trustworthy, scalable AI into Synopsys’ most critical business systems. Our team partners closely with business stakeholders and platform owners to deliver agentic AI workflows that create measurable business value. We are passionate about innovation, operational excellence, and setting the standard for enterprise AI adoption.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Key responsibilities include:

• Effectively lead the field-based regional MSL team
• Ensure scientific excellence and proficiencies that are key to execution of compliant scientific exchange and KOL engagement aligned with the strategic medical plan
• Translate medical strategic priorities and goals into clear field medical goals, objectives and initiatives with clear key performance indicators (KPIs) that reflect the impact of field medical
• Oversee key opinion leader (KOL) identification and lead the development and implementation of HCP engagement plans aligned with overall medical strategy
• Coach and develop each MSL on the team in line with the science based partnering model to ensure their high-level of scientific acumen, soft skills, performance and knowledge drive the clinical application of science
• Ensure MSL team members maintain adequate communication and interaction with their field colleagues when appropriate and according to compliance and regulatory guidelines
• Provide consistent and timely feedback to MSLs regarding their individual performance and progress, including annual performance reviews, growth and succession planning, and real time field reports based upon regular field travel
• Serve as a role model to direct reports on aspects of collegiality, leadership, conflict mitigation, and overall excellence consistent with AstraZeneca Values and behaviours
• Maintain business acumen and clinical knowledge of designated therapeutic area, including current treatment strategies, current and pending competitors, and new therapeutic developments. Continually educate self on global market issues / trends and product knowledge as it pertains to US Medical Affairs priorities.

Stakeholder Interactions:

• Interacts with USMA colleagues (Executive Directors / Field Directors, Medical Directors, Medical Excellence) and Commercial Leadership (US marketing, Sales, TLLs) to discuss development and implementation of comprehensive functional and TA strategies. Ensures alignment across cross functional stakeholders and actively identifies collaborative opportunities.
• Serves as subject matter expert in cross-functional initiatives addressing activities and resources relevant to field medical at internal and external meetings.
• Represents MSL leadership in the cross-functional field leadership.
• Partners with relevant teams to lead implementation of strategic and tactical framework to optimize US medical readiness for scientific engagement in established indications and any new product/indication launches.
• Collaborates with medical director(s) on resource planning for current and pipeline products/indications and the development of strategic and tactical plan.

Requirements:

• Must have a MD, PhD or PharmD level degree or equivalent
• Significant (at least 5 years) experience in field medical affairs in the US or other relevant industry functions
• Experience managing MSL team(s) or relevant field team(s) strongly preferred
• Experience in designated therapeutic area or related fields considered a plus
• Proficient in Medical Governance, with solid knowledge of the regulatory and compliance regulations in the USA
• Excellent communication skills both written and verbal
• Strong leadership skills and ability to manage complex projects in a highly matrixed environment
• Team player with ability to lead and motivate others
• Excellent interpersonal skills with demonstrated track record and ability to drive results as an effective team member and project leader
• Proven ability to manage budget and resources
• Strong scientific, clinical, and business acumen
• Ability to build partnerships between and across functions and geographies
• Flexibility and ability to adapt to a changing environment
• Excellent problem solving, organisational, and negotiating skills
• Ability to be an agent of change with demonstrated agility to lead through rapid change & uncertainty
• Must demonstrate an energy and enthusiasm which brings a positive approach to all challenges
• Strong sense of ethics and integrity
• Travel required up to 40% (mainly domestic)
• Demonstrates a deep understanding of the Field Medical Ways of Working and embody a continuous growth mindset with the ability to lead others toward change
• The duties of this role are generally conducted in a field environment. As is typical of a field-based role, employees must be able, with or without an accommodation, to travel by public transportation, automobile, train, or plane; work comfortably in a clinical setting; use a computer; engage in communications via phone, video, and electronic messaging; problem solve; engage in complex and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours
• At AstraZeneca, we are taking bold action on climate because we recognise the connection between healthy people and a healthy planet. As part of our flagship Ambition Zero Carbon programme, we have committed to a fully electric vehicle (EV) fleet by the end of 2025, which means that all of our drivers will be assigned an EV. Ability to travel within territory on a regular basis which will include frequent overnight and weekend travel. Valid driver’s licence and clean driving record required
• All activities should be conducted per Alexion, AstraZeneca Rare Disease policies.

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Key Responsibilities:

Configure and customize Dynamics 365 Customer Engagement modules. Implement and support Customer Service, Case Management, Queues, SLAs, Routing Rules, and Workflows. Build UI customizations, business rules, forms, and entities based on business requirements.

Configure Omnichannel capabilities, including: Live chat Voice channel SMS & WhatsApp (if applicable) Social channels Agent experience profiles Workstreams and conversation flows Set up agent scripts, macros, smart assist, and session templates.

Configure Unified Routing for automatic work item assignment. Set up routing rules, classification models, queues, and capacity profiles. Enable and optimize work distribution models across channels.

Work with telephony integration platforms such as: Azure Communication Services Webchat/Voice channels CTI tool integrations Support the implementation of intelligent call routing and agent desktop features.

Gather requirements and translate business needs into CRM functional solutions. Prepare solution documentation, configuration guides, and user documentation. Participate in design reviews, impact analysis, and architectural discussions.

Create and execute unit tests, integration tests, and UAT support. Assist in deployment activities across multiple environments. Ensure solution stability, performance, and adherence to best practices.

Requirements:

Required Experience: 6–12 years of experience in MS Dynamics CRM / Dynamics 365 CE. Strong experience in Omnichannel for Customer Service, Contact Center, or Unified Routing

Good to have: Hands-on experience with Power Platform (Power Automate, Power Apps). Knowledge of Chatbots / Virtual Agents (Power Virtual Agents). Exposure to Azure components: Functions, ACS, Event Hub, etc

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The Medical Director, Clinical Development may lead the clinical sub-team or support the clinical sub-team and the global program team to build global clinical development plans and contributes to the development of asset level and therapeutic area strategies.

Responsible for overseeing the clinical development strategy development and execution for 1 program, leading the clinical subteam to the GPT and represents clinical development on the GPT, contributing to the development of regulatory strategy, and representing the clinical program at regulatory meetings, as assigned by manager.

Key Responsibilities:

• Lead or support the clinical subteam and oversee the design and execution of multiple clinical studies or clinical programs.
• Represent Clinical Development on the Global Program Team (GPT) and in presentations at management and review committees.
• Functionally, supervise and develop medical monitors and/or clinical development scientists (CDS), if any and as assigned by the manager.
• Lead one or more clinical study teams in the preparation of clinical study related documents including protocols, charters, statistical summary reports, meeting presentations, publications, and clinical sections of regulatory documents, as assigned by manager.
• Development of medical content for regulatory document, and responses (including but not limited to NDAs/BLAs, sNDAs/SBLAs, briefing packages and common technical documents.
• Determine appropriate external experts for advisory boards, steering committees, adjudication committees, and/or data monitoring committees, and lead the team in preparation for meetings.
• Critically evaluate available information about diseases of interest to the therapeutic area and the competitive landscape and synthesize information succinctly to support dissemination and incorporation into clinical development programs, asset plans, and therapeutic area strategy.
• Serve as the Medical input to the Global Development Team/Subteam and the Medical Expert for clinical study team.
• Conduct medical monitoring activities during periods of vacations, team restructuring, team departures or in other situations, as assigned by manager.
• Lead the presentation of clinical trial related information/data to senior management, as assigned by manager.
• Liaise internally with other members of the clinical development team to drive overall program strategy and development plans. Represent Clinical Development at the Global Program Team.
• Maintain awareness of internal and external developments (scientific, clinical, competitive, and regulatory) that could impact the development plan, including attendance at major scientific conferences, participation in competitive intelligence activities, and periodic literature review.
• Support business development activities, such as due diligence and research collaborations, as assigned by manager.
• May serve as the Translational Science lead for one or more programs, as assigned by manager.
• Working as part of a cross-functional team with colleagues representing biostatistics, data management, clinical pharmacology, commercial, regulatory, safety, quality, and project management, or others, as assigned by manager.

Requirements:

• Physician with MD or foreign equivalent.
• 3-5 years of clinical development experience preferably within industry.
• 3-5 years minimum experience as a medical monitor for clinical trials required.
• Regulatory experience preferred.
• Track record of publication in peer-reviewed journals, preferably first-authored publications.
• Excellent written/oral communication skills.
• Attention to detail and ability to think strategically.
• Willingness to take on new responsibilities.
• Interest and ability to learn about new therapeutic areas.

Preferred Qualifications:

• Clinical specialty certification from US or foreign equivalent.
• Advanced knowledge of the assigned therapy area is desired, with the capability to interpret, discuss, and represent trial or program level data.
• 3+ years of industry experience in clinical development is preferred.
• Experience for medical responsibilities on a cross-functional team preferred.
• Formal training (certificate or graduate degree) in epidemiology, clinical trials, clinical research, biostatistics is strongly preferred.
• Broad experience in the principles of clinical trial methodology, statistics, data analysis, and interpretation.
• Understanding of general (and specific) therapeutic principles.
• Experience designing and executing industry-sponsored clinical trials.
• Expert in scientific literature searches and weighing of quality peer-reviewed data.
• Experience authoring study essential documents, Clinical Study Reports, and regulatory documents.
• Strong relevant therapeutic area experience.
• Ability to clearly communicate to internal and external stakeholders orally and in writing.
• Experience interacting with varying levels of internal/external management and/or academicians and/or clinicians and/or scientists, etc.
• Strong business acumen: including in-depth knowledge of the multidisciplinary functions involved in a company's drug development process, e.g., clinical operations, biostatistics, regulatory, commercial operations, etc. and can proactively integrate multiple perspectives into the clinical development process for best end-results.
• Ability to prioritize multiple tasks and goals to ensure completion in a timely manner within budget.
• Ability to think both strategically and tactically.
• Advanced knowledge of the assigned therapy area is desired, with the capability to interpret, discuss, and represent trial or program level data.

Working at Alexion:

We're inspired to think differently, to create better outcomes. By creating an unparalleled employee experience, our organization is equipped to adapt and enrich employees with a productive, engaging, and enjoyable work experience, while accelerating world-class leadership and innovation capabilities that can deliver on our mission.

Each of us is accountable for delivering innovative medicines and supportive technology with integrity so we can truly understand and better the lives of people affected by rare diseases. Together, we can transform lives every day.

The Highest Standards:

By operating with the highest standards of ethics and integrity, we aspire to live up to the expectations of patients, physicians, and ourselves, and to earn trust in our communities.

Diversity:

We encourage diversity of backgrounds and ideas. We genuinely care for and respect each other, working together as a high-performing team to deliver extraordinary results while embracing different perspectives.

Dedication:

The dedication and passion of our employees enable us to stay focused on what matters most. We push ourselves to achieve the highest level of medical innovation, and to redefine what it means to live with a rare disease.

In-Office Hybrid:

This role has an expectation of working in the office a minimum of 3 days a week. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working

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The Data Analyst will be responsible for assembling data from multiple sources, conducting analyses, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences. You will be responsible for building metrics reporting systems and for tracking process improvements across the organization. You will excel in a fast-paced environment, managing multiple responsibilities and deadlines in an internationally based team.

Your key responsibilities will include:

Assembling data from multiple sources, conducting analyses, performing research, designing, documenting, and implementing analytical solutions. Presenting analysis conclusions to the internal customer in a clear, understandable, and valuable way. Communicating with team members and business stakeholders. Presenting high-quality reports and findings in Power BI or as presentations. Building metrics reporting systems and tracking process improvements across the team. Conducting analysis using statistical software, databases, spreadsheets, and reporting tools. Designing, evaluating, and monitoring key metrics, understanding root causes of changes in metrics. Developing and maintaining scripts and queries to import, manipulate, clean, transform data from different sources. Building and sharing live dashboards and reports complete with user documentation. Building and training statistical models for hypothesis testing. Performing quality assurance on generated results to ensure accuracy and consistency. Presenting conclusions in a clear and concise way.

The ideal candidate will have: Relevant experience in a past analytical role. Expert data visualization techniques for charts and reports - good knowledge of Microsoft Power BI and/or Tableau. Unstructured Data handling - Know best practices on how to stage unstructured data and properly model it to solve the problem at hand. Must have very good database and SQL knowledge, NoSQL and elastic search - a strong bonus. Data Analysis - good knowledge of R language, MS Excel mastery, including VBA, PivotTables, and array functions - or other similar tools used for discovering data patterns and correlations through statistical methods. Good math and analytical skills including statistics, simulation, and optimization.

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Key responsibilities include:

• Full-stack CS: triaging customer issues, helping maintain industry-leading Time To Resolution metrics, expanding customer contracts, and assisting with technical implementation.

• Enhance our CS ops stack: managing customer support in Slack and using Pylon as our infrastructure.

• Build out CS processes/playbook: defining our CS processes and building a team underneath you.

• Ramp on compliance expertise: helping customers deal with cross-border compliance, a technical subject requiring expertise.

• Your first 90 days will revolve around stabilizing inbound, protecting engineering time, and implementing repeatable systems that scale.

We're looking for someone with proven experience building out CS processes, teams, and playbooks, preferably in early-stage startups. You should be comfortable navigating admin tools, reading API documentation, and handling basic data validation to resolve issues quickly.

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Your primary responsibilities will include:

• Participating in and/or leading the development of requirements, features, user stories, use cases, and test cases.
• Authoring process, technical design, and support documents.
• Collaborating with the broader FPI Telematics team on solution designs, development, and deployment.
• Participating and/or leading incident, problem, change, and service request-related activities, including root cause analysis (RCA).

You will work on delivering products that include Spring/Cloud services that support processing and storing telematics information while providing a secure set of APIs accessible to customers.

As a Software Engineer, you will have the opportunity to work on a wide range of projects and contribute to the growth and success of the FPI Telematics team.

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$380K – $445K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Future of Computing Research team is an applied research team within the Consumer Devices group focused on developing new methods, models, and evaluation frameworks that support our vision for the future of computing. We work at the frontier of multimodal AI, helping turn emerging model capabilities into product experiences that are useful, delightful, and worthy of long-term trust.

Our work explores a new class of AI systems that can learn over time, adapt to individuals, and support people in the flow of daily life. This includes long-term memory, user modeling, and personalization systems that are aligned not just with immediate satisfaction, but with a person’s broader goals, values, and well-being.

We work closely across research, engineering, design, product, and safety to define what it means to build AI systems that know you over time, act at the right moment, and help in ways that are context-aware, respectful, and demonstrably beneficial.

About the Role

We are looking for a Research Engineer / Scientist to join the Future of Computing Research team to work on RLHF and post-training for personalized, multimodal AI systems.

This role will focus on building the learning and evaluation foundations that help models become more context-aware, adaptive, and useful over time. You will work on problems such as reward modeling, preference learning, long-horizon evaluation, and policy improvement for systems that must make high-quality behavioral decisions in realistic user settings. The work is deeply product-grounded: success is not just higher benchmark performance, but better model behavior in real-world use.

The ideal candidate is excited about pushing beyond one-turn assistant behavior toward systems that improve through feedback, learn from richer signals, and are trained against meaningful notions of user value. Internally, that maps closely to the need for careful reward design, feedback loops, and evaluation frameworks that test whether interventions are actually beneficial over longer horizons.

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

In this role, you will:

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• Develop RLHF and post-training methods for multimodal models.

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• Build reward models and preference-learning pipelines for adaptive, personalized model behavior.

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• Design datasets, rubrics, and evaluation frameworks that capture user preferences, contextual appropriateness, and long-term value in realistic tasks.

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• Run experiments on policy improvement using explicit feedback, implicit signals, and model-based grading.

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• Work on long-horizon evaluation problems, where model quality depends not just on a single response but on whether behavior improves outcomes over time.

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• Collaborate closely with safety researchers to ensure that adaptation and personalization remain aligned, interpretable, and bounded by clear constraints.

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• Prototype and iterate quickly on training recipes, reward formulations, data pipelines, and evaluation suites for product-relevant behaviors.

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• Help define how OpenAI measures success for personalized AI systems including trust, appropriateness, and long-term user benefit.

You might thrive in this role if you:

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• Have a strong background in machine learning research, with experience in RLHF, reward modeling, preference optimization, or post-training for large models.

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• Have worked on one or more of: reinforcement learning, ranking, recommender systems, personalization, memory, or human-in-the-loop evaluation.

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• Care about rigorous empirical work and know how to design clean experiments, reliable evals, and decision-useful metrics.

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• Are excited by the challenge of training models against nuanced behavioral objectives.

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• Have experience building datasets or eval pipelines grounded in human preferences, rubrics, or real-world product behavior.

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• Are comfortable working across the stack, from data generation and labeling strategy to training runs, reward functions, and analysis.

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• Are interested in multimodal AI and in how models can learn from richer interaction signals over time.

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• Want to work on product-shaping research with unusually high stakes for trust, alignment, and long-term user value.

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• Enjoy close collaboration with engineers, designers, and safety researchers to turn frontier research into real systems.

About OpenAI

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

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

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

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history has a direct and adverse relationship with your current or prospective employment. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider the nature and severity of the offense, as well as the time elapsed since the offense occurred, in making our decision.

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Responsibilities:

• Lead a high-performing team of Portfolio Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Strategically prioritize and manage team workloads, ensuring effective task allocation and resource capacity to support team goals.
• Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
• Act as the Chief Data Technical Anchor for the PLMA domain, resolving critical incidents through Root Cause Analysis (RCA) and implementing permanent, resilient architectural fixes.
• Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
• Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for best practice adoption and standardization.
• Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
• Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
• Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
• Maintain awareness of industry trends and emerging technologies to inform technical decisions.
• Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
• Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
• Lead technical decisions that drive data innovation and resilience.
• Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
• Engage in agile planning, including scope, work breakdown structure, as well as roadblock resolution.
• Design solutions for cost and consumption optimization, scalability, and performance.
• Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
• Drive engineering excellence by establishing and monitoring SWE-centric quality metrics (including DORA metrics and P99 latency targets).

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field.
• 8+ years of experience in complex data environments, demonstrating increased responsibilities and achievements with:

+ Expertise in programming languages such as Python or Scala, and strong SQL skills. + Experience with ETL/ELT processes, data warehousing, and data modeling. + Experience with CI/CD pipelines, Docker, Git/Gerrit, and experience designing resilient deployment strategies and sophisticated release management. + Familiarity of data governance, privacy, quality, and monitoring.

• Proven experience in implementing sophisticated testing strategies, driving quality tool adoption, establishing comprehensive code review processes, and setting observability standards with advanced monitoring and proactive alerting.
• 5+ years of experience within the automotive industry or related product development environments and product lifecycle management.
• 5+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
• 5+ years of experience in Big Data environments or expertise with Big Data tools, including:

+ Data processing frameworks and data modeling. + In-depth knowledge and practical experience with Google Cloud Platform services. + Proven experience in monitoring and optimizing costs and compute resources in hyperscaler platforms.

• Significant experience leveraging Generative AI and LLMs to optimize data engineering workflows (e.g., automated code generation, documentation, or metadata management).

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Expertise in GCP based data engineering services like BQ, Dataflow, Airflow, Dataform, Datastream, Apache Beam, Cloud Run, Cloud Functions
• Familiarity with automotive Product Development processes, including program planning, design validation, and cross-functional collaboration across engineering, manufacturing, and supplier teams to deliver data-driven insights at each lifecycle stage
• Experience in managing and scaling serverless applications and clusters, focusing on resource optimization and robust monitoring and logging strategies.
• Proficiency in unstructured data ingestion, including experience with data modeling and preparation techniques to support AI and machine learning workloads.
• Experience with AI architecture and AI enabling tech (graph database, vector database, etc)
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Working knowledge of ontology, semantic modeling, and related technologies

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In this position, you will interact with feature owners and software development teams to scope and define robust systems interface and software requirements, with a strong emphasis on proactive Design Failure Mode Effects and Analysis (DFMEA). This includes the process of deriving functional level requirements from feature level requirements, and utilizing a model-based systems engineering approach in conjunction with Behavior Driven Development methodology to define individual functions, use cases, sequence diagrams, and test cases, ensuring design for reliability and early identification and mitigation of potential failure modes across the In-Vehicle Infotainment and Connectivity sub-system and software levels.

Responsibilities:

• Executing functional partitioning of features, focusing on identifying and isolating potential failure points and ensuring fault tolerance.
• Developing robust and fault-tolerant interfaces between allocable classes, considering potential failure propagation and implementing safeguards.
• Specifying comprehensive system-level and ECU software requirements, explicitly defining expected behavior, error handling, and failure recovery mechanisms based on DFMEA principles.
• Adopting model-based systems engineering (MBSE) methodologies for specification development, leveraging modeling and simulation for early failure mode identification and mitigation.
• Using Requirement Management tools for requirement authoring, change management, and specification generation, ensuring traceability to DFMEA activities and reliability targets.
• Using Behavior Driven Development (BDD) with Gherkin syntax to develop scenarios and associated test cases, incorporating negative test cases and failure scenarios derived from DFMEA analyses.
• Leading and performing comprehensive Design Failure Mode Effects and Analysis (DFMEA) activities throughout the product lifecycle to ensure the thoroughness, robustness, and reliability of software and system designs, proactively identifying and addressing potential failure modes.
• Managing cross-functional working level meetings with Feature/Function Owners, module owners, HMI teams, and the IVI Platform team to develop functional integration strategies that incorporate reliability and failure avoidance considerations.
• Performing rigorous system compatibility analysis and impact assessment for IVI feature deployment, specifically evaluating and mitigating potential failure modes introduced by new architectures, programs, or market variations.
• Proactively identifying, analyzing, and resolving complex technical issues at the system and interface level impacting the In-Vehicle Infotainment system, applying systematic root cause analysis and implementing design changes to prevent recurrence and enhance reliability.

Qualifications:

• Minimum of a Bachelor of Science Degree in Computer/Software/Electrical Engineering or equivalent.
• 5+ years of experience with electrical architecture, electrical systems, and automotive network topologies, with a strong background in Systems Engineering and reliability principles.
• 5+ years of experience in robust requirement development, verification, and validation, with a focus on designing for reliability and testability, and experience in component/vehicle level testing for failure modes.
• Proven experience in systematically analyzing and resolving complex systems issues, employing root cause analysis, corrective action methodologies, and implementing design solutions for failure avoidance.
• In-depth knowledge of CAN, LIN, and Ethernet-based In-Vehicle Network protocols and processes, including understanding of potential failure modes and diagnostic strategies.
• Knowledge of Service Oriented Architecture (SOA) based API design, with an understanding of fault tolerance and error handling in distributed systems.
• Knowledge of Human Factors and Human-Machine Interfaces (HMI), including considerations for usability, error prevention, and graceful degradation in failure scenarios.
• Strong knowledge of Requirements Engineering (INCOSE, EARS, BDD/Gherkin), with an ability to translate reliability and safety requirements into actionable specifications.
• Demonstrated in-depth knowledge and practical application of Design Failure Mode Avoidance (DFMA), Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and other reliability engineering techniques.
• Knowledge of Unified Modeling Language (UML) or System Modeling Language (SysML) for modeling system behavior, structure, and potential failure modes.
• Knowledge of Computer Programming Competencies (C++, Python, Java) for developing robust and fault-tolerant software.
• Familiarity with Automotive Infotainment Systems or other Automotive Domains, including a deep understanding of interfaces, communication protocols, features/functions, architecture, and common failure mechanisms.

Preferred qualifications include knowledge of Network tools (VehicleSpy, CANalyzer, CANoe, ValueCAN, Ethernet tools), requirement authoring tools (VSEM System Engineering, DOORS, JAMA, Polarion, etc), UML/SysML tools (IBM Rational Rhapsody, MagicDraw), Software Version Control Systems and cloud storage (Git, GitHub), VSCode, Technical Writing, Agile Methodologies (Scrum, Kanban), and MS Office Suite.

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As an Analytics Scientist, you will bridge the gap between analytical model development and production deployment, using SAS, Vendor tools on OnPrem and Cloud based applications. You will also be a key contributor in modernizing legacy mainframe-based batch testing processes through automation, dataset comparison frameworks, and summarization/reporting of the data.

Responsibilities:

Implement, validate, test, and Productionalize the predictive models and risk strategies across global platforms. Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production. Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets. Develop reusable and repeatable automation for comparing and summarizing data between legacy and modernized systems for multiple business functions. Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run, and Pub/Sub to build scalable workflows that support analytics delivery. Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results. Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop the Proof-of-Concepts to enhance delivery processes through automation. Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs.

Qualifications:

Bachelor’s degree in computer science, Data Science, Information Systems, Engineering, or related field. 4–5 years of programming experience in object-oriented and procedural paradigms (Example: Java, SQL, and Python),  with experience preferably in Statistical Analysis System software (like"SAS RealTime Decision Manager"). Experience with Relational Database Management Systems (like DB2) 1–2 years hands-on experience with Google Cloud Platform (GCP) including BigQuery, PostgreSQL, Cloud Storage, Cloud Functions, etc. Familiarity with Waterfall, Agile, and PDO methodologies. Experience working with IT testing environments, regression testing, and automated validation. Strong understanding of modern automation frameworks and AI-powered tooling like Agentic AI.

Even better you’ll have:

Master’s degree. Experience integrating or automating processes involving mainframe legacy systems. Gen AI tooling - Agentic AI, Workflows & Cloud integration.

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We’re hiring a Senior Software Engineer to own backend services handling millions of API requests per day, drive a major Azure Kubernetes migration, and deliver full-stack features that our users depend on daily.

What you’ll work on:

• Designing and building backend services in C#/.NET on Azure (AKS, Functions, Cosmos DB, SQL).
• Driving a large-scale infrastructure migrations.
• Full-stack feature delivery across APIs and frontends , UIs, APIs, and tools for business-critical workflows.
• Live-site engineering , owning production health, incident response, and observability.
• Building new applications from scratch as the platform expands into new areas.
• Opportunities to work on AI-powered product features including Copilot experiences and LLM integrations as the platform evolves.

Who we’re looking for:

• You use AI-powered development workflows (Copilot, LLM-assisted coding, agentic tools) as a daily force multiplier , not as a novelty, but as a core part of how you ship software faster and better.
• You’re always experimenting with new tools to raise your own bar and help your teammates do the same.

Why this team:

• A tenured, tight-knit team of 9 engineers where retention speaks for itself , people stay because the work matters and the team is genuinely great.
• High-impact, high-autonomy work: you own features end-to-end from design through production.
• Clear path to Principal and beyond , significant opportunities for technical ownership and scope growth.
• The platform is evolving fast , you’ll shape what it becomes, not just maintain what exists.

About the role:

Improves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.

Responsibilities:

• AI-Native Development: Improves artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC).
• Proactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same.
• Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets.
• Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI.
• Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.
• Coding: Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications.
• Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs.
• Identifies best practices and coding patterns and provides deep expertise in the coding and validation strategy.
• Creates and applies metrics to drive code quality and stability.
• Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies to address them.
• Leads efforts on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions while developing code before issues occur across products in production.
• Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations.
• Leads incident retrospectives to identify root causes of problems, the implementation of repair actions, and the identification of mechanisms to prevent incident recurrence.
• Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.
• Design: Owns and leads efforts and discussions for the architecture of aspects of complex products/solutions.
• Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best.
• Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions.
• Leads the development of design documents that support user stories and other product requirements.
• Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems.
• Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, and cost requirements.

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: Not stated Salary Min: 0 Salary Max: 0 Salary Currency: USD Salary Period: year Required Skills: C#, .NET, Azure, AKS, Functions, Cosmos DB, SQL, AI, machine learning, software development lifecycle, architecture, design, coding, debugging, testing, logging, telemetry, incident management, root cause analysis, problem-solving, communication, collaboration, leadership Preferred Skills: AI-powered development workflows, Copilot, LLM-assisted coding, agentic tools, experimentation, innovation, technical ownership, scope growth, platform evolution

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Responsibilities include: Overseeing major projects within the Engineering department. Evaluating manufacturing processes by designing and conducting research, applying knowledge of product design, fabrication and materials as well as soliciting observations from technicians. Developing manufacturing processes by studying product requirements while researching, designing, modifying and testing manufacturing methods. Improving manufacturing efficiency by analyzing and planning workflow, space requirements, and equipment layout. Assuring product and process quality by designing and evaluating testing methods, testing finished product and process capabilities. Providing manufacturing decision-making information by calculating production, labor and material costs and estimating future requirements. Reviewing and evaluating new process procedures and documentation. Aiding in the qualification of new equipment and procedures. Preparing product and process reports by collecting, analyzing, and summarizing information and trends. Coordinating with the quality department to implement new products and procedures. Performing PFD’s (Process Flow Diagrams) and P&ID’s (Piping and Instrumentation Diagrams) for required equipment. Aiding in batch costing operations. Maintaining an efficient and safe working environment for all employees. Ensuring compliance to all state and federal regulations and design/implement effective preventative maintenance programs to reduce all downtime, including the auditing of safety systems. Preparing reports as needed to ensure compliance to all state and federal laws. Collaborating with various departments to maintain mechanical integrity of all plant programs. Analyzing all equipment requirements and assisting in requisition of all tools and equipment Resolving all maintenance issues and recommending improvements to same if required. Reviewing and recommending improvements to SOP procedures and perform troubleshoot on all plant activities and resolve all issues and operations manager to implement all changes. Providing an efficient interface with all automation and validation processes and provide training to all engineers and mechanics. Recommending and implementing capital projects designed to improve the reliability and productivity of the facility Providing an efficient interface with engineering department to evaluate all upcoming capital projects and analyze all new and existing equipment and layouts. Coordinating and directing the activities of all 3rd party contractors performing work at the Huntington site

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Your duties will involve ensuring the accurate functioning of testing equipment, crafting customized scenarios to fulfill specific requirements, and upholding the maintenance of all testing apparatus. Our array of robots and dummies serves as vital components in assessing the efficiency of ADAS features.

Key responsibilities include:

• Joining the AV testing team to handle end-to-end software testing for autonomous driving, collaborating with team members across the NVIDIA Automotive platform.
• Operating and maintaining vehicle and NCAP testing equipment, including ABD robotic platforms, OxTS GT instrumentation, and more.
• Developing test cases based on requirements to ensure detailed testing of NVIDIA ADAS Software features like AEB, LSS, BSM, etc.
• Using testing equipment to support development, validation, certification, and rating of autonomous driving functionality and active safety features.
• Preparing and operating testing technologies in coordination with engineering teams, readying equipment and vehicles for testing.
• Reviewing product requirements, developing test matrices, and establishing critical metrics.
• Identifying and resolving issues, collaborating with engineers to address root causes, and improving QA process improvements.

Requirements include:

• A bachelor's degree in computer science, electrical engineering, computer engineering, or a technical degree.
• 5+ years of work experience.
• Proven work record of NCAP testing for Active Safety features/functions and operating and maintaining NCAP equipment.
• Demonstrated New Car Assessment Program and ADAS knowledge with excellent test process/flow with software debugging skills in Linux/QNX environments.
• Self-motivated to learn new things and a passion for adopting technology.
• Strong leadership & interpersonal skills are indispensable.
• Ability to develop positive relationships with 3rd party proving grounds, engineering and test teams, and external governing agencies.

Benefits include eligibility for equity and benefits.

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Copilot Security and Privacy is responsible for building these defenses directly into Copilot. Our work focuses on new security primitives for agentic AI, including runtime misuse detection, adaptive guardrails, containment and isolation mechanisms, and feedback-driven control systems informed by offensive security research.

We are hiring a Principal Technical Program Manager (TPM) to own the end-to-end delivery of these capabilities. This is a deeply technical execution role for someone who can operate at the boundary of security engineering, AI research, and platform systems,turning ambiguous threat models into shippable, operable defenses deployed in a globally scaled AI product.

This role is not about process, governance, or coordination. The TPM is accountable for making complex systems land in production, under real-world adversarial pressure. Most security roles protect systems after they exist. This role helps define how agentic AI systems defend themselves while they operate.

You will shape how Copilot detects misuse, enforces boundaries, and recovers safely in real time,working directly on the mechanisms that make autonomy deployable at global scale. The impact is immediate, technical, and measurable in production behavior.

If you want to operate where AI systems, security engineering, and execution reality intersect, this role offers that surface area,without turning you into a policy owner or process layer.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Own Delivery of In-Product AI Threat Defenses

Lead execution of runtime threat defense capabilities embedded directly into Copilot execution paths, not layered on externally.

Drive delivery of detection, prevention, and containment mechanisms that operate synchronously and adaptively as agents reason and act.

Ensure defenses are designed as control systems with clear signals, enforcement points, and feedback loops.

Translate Threat Models into Executable Systems

Take emerging and ambiguous agentic AI threat models,including misuse, escalation, and information-flow risks,and convert them into concrete engineering plans.

Partner with security engineers and researchers to translate offensive security insights and red-team findings into production features.

Make judgment calls about enforcement boundaries, degradation strategies, and isolation guarantees.

Drive Cross-Cutting Technical Execution

Coordinate delivery across security engineering, AI research, platform/runtime teams, and Copilot product surfaces.

Own dependency management, sequencing, and delivery risk for systems that are tightly coupled and cannot be built independently.

Resolve technical and organizational tradeoffs where ownership boundaries are unclear and failure modes are novel.

Ensure Operability at Runtime

Define what “working” means for threat defenses: detection quality, false-positive tolerance, performance impact, and blast-radius containment.

Ensure defenses are measurable, testable, and observable in production.

Lead learning loops from live incidents, near-misses, and adversarial testing back into system design.

Qualifications:

Required Qualifications:

Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.

3+ years of experience managing cross-functional and/or cross-team projects.

Preferred Qualifications:

Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.

Proven ability to lead execution in high-ambiguity environments where requirements, threats, and system behavior evolve rapidly.

Solid systems thinking: ability to reason about execution paths, failure modes, and adversarial behavior.

Track record of making sound technical tradeoffs and shipping durable solutions without relying on heavy process.

Background in security engineering, distributed systems, applied research, or ML systems prior to or alongside TPM work.

Experience delivering runtime detection, abuse prevention, or adaptive enforcement systems.

Familiarity with agentic AI systems, LLM-based products, or non-deterministic execution environments.

Experience partnering closely with offensive security or red-team functions.

Demonstrated ability to translate research, prototypes, or threat models into production-grade systems.

Solid analytical skills, including working with telemetry, signals, and feedback loops.

#MicrosoftAI #MAIDPS

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Responsibilities:

Model Development & Training: Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based). Implement and adapt techniques from research papers into working production systems. Design and run experiments to improve image quality, diversity, and controllability. Curate, clean, and manage large-scale image-text training datasets.

Evaluation, Hillclimbing & Quality Systems: Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality. Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance. Analyze failure modes, design mitigations, and drive systematic improvements across the stack.

LLM Tooling & Internal Infrastructure: Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines. Create reusable frameworks that accelerate the entire AI org’s ability to ship high-quality assistant features.

Applied ML & Product Integration: Integrate LLMs with product surfaces, APIs, and backend systems. Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence. Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.

High-Velocity Teamwork: Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity. Work closely with researchers, engineers, and product leaders in a fast-moving AI team where ideas ship quickly and impact is immediate. Contribute to a culture of experimentation, clarity, and high-quality execution. Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency. Prototype new capabilities rapidly and iterate based on user signals and evaluation data.

Production & Infrastructure: Optimise models for inference latency, throughput, and cost (quantization, distillation, batching). Build and maintain serving pipelines for real-time and batch image generation. Develop APIs and SDKs that expose image generation capabilities to downstream teams/products. Monitor model performance in production; debug quality regressions.

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Copilot Security and Privacy is responsible for building these defenses directly into Copilot. Our work focuses on new security primitives for agentic AI, including runtime misuse detection, adaptive guardrails, containment and isolation mechanisms, and feedback-driven control systems informed by offensive security research.

We are hiring a Principal Technical Program Manager (TPM) to own the end-to-end delivery of these capabilities. This is a deeply technical execution role for someone who can operate at the boundary of security engineering, AI research, and platform systems,turning ambiguous threat models into shippable, operable defenses deployed in a globally scaled AI product.

This role is not about process, governance, or coordination. The TPM is accountable for making complex systems land in production, under real-world adversarial pressure. Most security roles protect systems after they exist. This role helps define how agentic AI systems defend themselves while they operate.

You will shape how Copilot detects misuse, enforces boundaries, and recovers safely in real time,working directly on the mechanisms that make autonomy deployable at global scale. The impact is immediate, technical, and measurable in production behavior.

If you want to operate where AI systems, security engineering, and execution reality intersect, this role offers that surface area,without turning you into a policy owner or process layer.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Own Delivery of In-Product AI Threat Defenses

Lead execution of runtime threat defense capabilities embedded directly into Copilot execution paths, not layered on externally.

Drive delivery of detection, prevention, and containment mechanisms that operate synchronously and adaptively as agents reason and act.

Ensure defenses are designed as control systems with clear signals, enforcement points, and feedback loops.

Translate Threat Models into Executable Systems

Take emerging and ambiguous agentic AI threat models,including misuse, escalation, and information-flow risks,and convert them into concrete engineering plans.

Partner with security engineers and researchers to translate offensive security insights and red-team findings into production features.

Make judgment calls about enforcement boundaries, degradation strategies, and isolation guarantees.

Drive Cross-Cutting Technical Execution

Coordinate delivery across security engineering, AI research, platform/runtime teams, and Copilot product surfaces.

Own dependency management, sequencing, and delivery risk for systems that are tightly coupled and cannot be built independently.

Resolve technical and organizational tradeoffs where ownership boundaries are unclear and failure modes are novel.

Ensure Operability at Runtime

Define what “working” means for threat defenses: detection quality, false-positive tolerance, performance impact, and blast-radius containment.

Ensure defenses are measurable, testable, and observable in production.

Lead learning loops from live incidents, near-misses, and adversarial testing back into system design.

Qualifications:

Required Qualifications:

Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.

3+ years of experience managing cross-functional and/or cross-team projects.

Preferred Qualifications:

Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.

Proven ability to lead execution in high-ambiguity environments where requirements, threats, and system behavior evolve rapidly.

Solid systems thinking: ability to reason about execution paths, failure modes, and adversarial behavior.

Track record of making sound technical tradeoffs and shipping durable solutions without relying on heavy process.

Background in security engineering, distributed systems, applied research, or ML systems prior to or alongside TPM work.

Experience delivering runtime detection, abuse prevention, or adaptive enforcement systems.

Familiarity with agentic AI systems, LLM-based products, or non-deterministic execution environments.

Experience partnering closely with offensive security or red-team functions.

Demonstrated ability to translate research, prototypes, or threat models into production-grade systems.

Solid analytical skills, including working with telemetry, signals, and feedback loops.

#MicrosoftAI #MAIDPS

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Copilot Security and Privacy is responsible for building these defenses directly into Copilot. Our work focuses on new security primitives for agentic AI, including runtime misuse detection, adaptive guardrails, containment and isolation mechanisms, and feedback-driven control systems informed by offensive security research.

We are hiring a Principal Technical Program Manager (TPM) to own the end-to-end delivery of these capabilities. This is a deeply technical execution role for someone who can operate at the boundary of security engineering, AI research, and platform systems,turning ambiguous threat models into shippable, operable defenses deployed in a globally scaled AI product.

This role is not about process, governance, or coordination. The TPM is accountable for making complex systems land in production, under real-world adversarial pressure. Most security roles protect systems after they exist. This role helps define how agentic AI systems defend themselves while they operate.

You will shape how Copilot detects misuse, enforces boundaries, and recovers safely in real time,working directly on the mechanisms that make autonomy deployable at global scale. The impact is immediate, technical, and measurable in production behavior.

If you want to operate where AI systems, security engineering, and execution reality intersect, this role offers that surface area,without turning you into a policy owner or process layer.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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At Cloudflare, we're 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 Senior Solutions Architect, you'll be a trusted advisor to Cloudflare's most strategic enterprise customers. You'll guide digital transformation by aligning business outcomes with Cloudflare's technology platform,including our network, application, security, and developer services.

Responsibilities

Serve as a strategic technical advisor for Cloudflare's top enterprise customers and prospects.

Engage at C-level (CIO, CTO, CISO) to influence technology roadmaps and position Cloudflare as a digital transformation partner.

Facilitate architectural visioning and roadmap workshops that connect business value to Cloudflare's platform capabilities,including emerging use cases in edge compute and serverless development.

Partner with Enterprise Architects and Engineering teams to co-design secure, scalable architectures that leverage Cloudflare's global network.

Translate industry trends (Zero Trust, Digital Sovereignty, AI workloads) into actionable architectural strategies for customers.

Guide clients across the engagement lifecycle: initial strategy, technical design, proof of concept, value realization, and ongoing success planning.

Identify product gaps and provide structured feedback to Product and Engineering teams; participate in roadmap reviews.

Inspire thought leadership through industry events, internal enablement, and technical storytelling.

What Success Looks Like

In your first 6 months:

You've built trusted executive relationships across 3–5 strategic accounts.

You've led 2–3 vision-setting or architecture workshops resulting in multi-year roadmap alignment.

You've shaped at least one key customer engagement involving i.e Cloudflare Developer Platform,demonstrating how edge-native services can accelerate innovation or reduce complexity.

What We're Looking For

15+ years of experience in technical presales, enterprise architecture, or IT leadership (e.g., Chief Architect, CTO, CISO).

Fluent in both business and technology strategy: able to make ROI-driven business cases while diving deep into technical design.

Familiarity with transformation levers such as Zero Trust, cloud migration, developer productivity, and edge compute.

Strong experience working with modern application architectures (e.g., microservices, APIs, event-driven systems, CI/CD).

Exposure to developer-first platforms, serverless models, or edge computing frameworks (Cloudflare Workers, AWS Lambda, GCP Cloud Functions, etc.).

Comfortable engaging a range of personas,from infrastructure teams to app developers to the C-suite.

Confident in public speaking, customer workshops, and evangelizing new ideas internally and externally.

Bonus: Familiarity with frameworks like TOGAF, NIST SP 800-207, and cyber risk management principles.

Preferred Qualifications

Bachelor's or Master’s degree in Computer Science, Engineering, Information Security, or related field.

Experience in regulated industries (FSI, Government, Telco) or complex multi-cloud/hybrid environments.

Hands-on technical curiosity and the ability to learn continuously,especially across networking, application performance, security, and developer services.

What Makes Cloudflare Special?

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

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

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

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

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

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

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Key Responsibilities:

• Lead the productization of automotive test-related products, focusing on intelligent test solutions
• Define product positioning, value propositions, and functional requirements
• Conduct market and user research to deeply understand the pain points of the testing domain and the needs of technical teams
• Collaborate with engineering, sales, finance, strategy, and customer teams to promote the landing testing solution product
• Manage product costs, pricing strategies, and profit goals
• Optimize the cost structure and balance product competitiveness and profitability
• Establish and improve product standards and operation processes
• Ensure product stability and scalability
• Drive product promotion and publicity initiatives
• Collaborate with marketing and sales teams to develop promotion strategies
• Build product branding in the automotive testing industry
• Track industry trends and technological advancements
• Continuously optimize product functions and user experience

Requirements:

• Bachelor's degree or above in electrical engineering, mechatronics, vehicle engineering, computer science, robotics, or a related field
• In-depth understanding of the automotive testing industry, familiar with ADAS, Infotainment, Connected Car, vehicle integration domains, and proficiency in the core logic of CLCD, automation, AI toolchain, test & data platforms, or robot automation
• Proven experience in productizing technical services or solutions into scalable and commercial products
• Strong strategic thinking and business acumen, able to accurately grasp the market demand and value of testing products
• Excellent communication and coordination skills, able to drive cross-departmental collaboration
• Proficient in product planning, requirement analysis, and roadmap formulation, with the ability to promote product iteration and landing with Agile/Scrum methodologies
• Familiar with productization logic of technical services, able to translate technical capabilities into marketable products
• Strong self-driven to work efficiently and lead project team for issue solving and continuous improvement
• Engineering mindset with critical thinking and hands-on capability
• Proficiency in English (written and spoken) is mandatory, German is a plus
• Willingness to travel

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

How to Apply: If you are a motivated and experienced product manager looking for a new challenge, please submit your application, including your resume and cover letter, to [jobs@porsche-engineering.cn](mailto:jobs@porsche-engineering.cn).

Please note that only applications submitted through the official Porsche Engineering website will be considered.

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You will manage cross-series AC/DC charging issues, covering the full chain from backend/head unit communication to the vehicle side. You will analyze vehicle logs, backend services, and interface data to identify and document charging-related problems. You will process and prioritize internal and external error reports using Cluu, KPM, and Jira. You will facilitate cross-team collaboration between quality teams, backend teams, and BTVs to ensure smooth issue resolution. You will support weekly reporting and contribute to the weekly error review meeting. You will work in close partnership with BTVs and occasionally conduct business trips to reproduce and verify issues on the vehicle. You will prepare clear reports, findings, and recommendations for stakeholders.

We are looking for a highly motivated and experienced Charging System Developer to join our team. You should have a Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering or an equivalent education. You should have previous experience in automotive development, focusing on cross-sectional functions. You should have experience in issue management for charging systems within the automotive field. You should have experience with ticketing systems (e.g., Jira, KPM, CLUU). You should have the willingness to understand the development processes at Porsche and to work with different specific tools for trace analyses. You should have good knowledge of MS Office tools with a focus on Excel. You should speak German and English fluently. You should have a confident appearance, excellent communication and persuasive skills, along with strong social skills and political awareness.

At Porsche Engineering Romania, we offer a dynamic and challenging work environment, with opportunities for professional growth and development. We are committed to providing our employees with the necessary resources and support to excel in their roles. We believe in the importance of teamwork and collaboration, and we strive to create a positive and inclusive work culture.

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Together with your team, you will help our customers transform complex business requirements into transparent planning models, meaningful analyses, and decision-relevant dashboards - with measurable added value.

Your tasks will include:

• Leading and co-designing complex customer projects for the conception and implementation of integrated planning processes
• Independently taking on, analyzing, and structuring complex business requirements and deriving conceptual solutions
• Planning and implementing complex planning and analytics functions
• Preparing, validating, and analyzing extensive datasets to create analytical dashboards with a focus on user-friendliness and clear business benefit
• Using SQL, advanced formulas, JavaScript in SAC stories, and predictive functions to create well-founded analyses

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

• Completed studies and at least 3 years of professional experience in consulting or in-house consulting, with a focus on enterprise planning and in-depth knowledge of SAP Analytics Cloud Planning
• Passion for analyzing business processes, KPIs, stakeholder management, and the role of a trusted advisor for customers
• Expertise in conceiving and implementing solutions in SAP Analytics Cloud Planning, with a basic understanding of KPIs from business processes (finance, logistics, HR) and ideally experience with SAP Datasphere and AI technologies (e.g., Databricks)
• Your work style is characterized by analytical and structured approach and strong communication skills

Important information before departure:

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

As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading provider of IT and technology expertise, with a global presence and a team of over 3,000 experts.

At MHP, you will find a dynamic and supportive environment that encourages growth and development. We offer a range of benefits, including flexible working hours, a comprehensive training program, and opportunities for professional development. Our team is passionate about delivering exceptional results and making a positive impact on our customers' businesses.

If you are looking for a challenging and rewarding career opportunity, we encourage you to apply for this position. Please submit your application, including your resume, cover letter, and any relevant certificates or project lists, through our online application portal. We look forward to hearing from you!

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Your key responsibilities will include:

• Developing Advanced Driver Assist Systems (ADAS) control software functions and tuning vehicle control systems
• Developing functional software requirements related to CAN interface, Self-Diagnostic, Failsafe Detection for each vehicle development
• Performing project management activities, overseeing the testing of related vehicle systems, negotiating hardware and software interfaces to integrate the system into the vehicle, instrumenting and troubleshooting vehicles for testing, analysing test data, recommending solutions for test failures, and determining root cause(s)

To succeed in this role, you'll need:

• A Bachelor's or equivalent academic degree in Computer Science, Electrical/Electronics Engineering, Mechanical Engineering, Automotive Engineering, or Controls Engineering
• A minimum 3 years of relevant work experience in the industry
• Comprehensive understanding of vehicle dynamics, steering control functions, and experience for tuning vehicle control systems
• Comprehensive understanding of requirements management, function validation, diagnostics, and CAN structures
• Hands-on mechanical ability alongside good understanding of vehicle systems
• Analytical skills to prepare prototype vehicles for testing
• Ability to troubleshoot system issues and propose solutions to those issues
• PC Skills (Excel, Word, PowerPoint, CANalyzer, CANape, and other technical software)
• Excellent communication skills coupled with the willingness to pro-actively seek out information from others and convert concepts into specific requirements

This is an onsite job, based at the Honda Auto Development Centre (ADC), in Raymond, OH. One remote workday a week may be possible with prior departmental approval.

As a Senior ADAS Test Engineer at Honda, you'll enjoy a competitive base salary, paid overtime, regional bonus, industry-leading benefit plans, paid time off, company-paid short-term and long-term disability, 401K plan with company match, and relocation assistance (if eligible).

Advancement opportunities, career mobility, education reimbursement for continued learning, training and development programs, tuition assistance & student loan repayment, lifestyle account, childcare reimbursement account, elder care support, wellbeing program, community service and engagement programs, and product programs are also available.

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This individual will lead product development and execution across various systems, workflows, analytics that support margin analytics, cash consumption, liquidity risk, etc. The Cross Asset Quant & Technology Modeling team designs, builds, and maintains the applications and models that support portfolio managers, risk managers, and treasury professionals across the company.

The ideal candidate will bring a strong product mindset, solid technical fluency, and experience working across quantitative workflows, data platforms, and front-to-back capital markets infrastructure.

Responsibilities:

• Partner closely with Treasury, Risk, Quants, Operations, and Engineering to define and deliver products that support cash and collateral management, liquidity forecasting, funding optimization, and margin analytics.
• Own the product roadmap for Treasury-related applications, data products, and workflows, ensuring priorities are aligned with business goals and delivered effectively.
• Translate business needs into clear product requirements, functional designs, and technical specifications
• Work with engineering and quantitative teams to build and enhance tools that improve visibility into liquidity, collateral usage, margin requirements, funding exposures, and treasury risk.
• Serve as a key point of contact for senior stakeholders with Treasury providing clear updates and helping drive alignment and decision-making.
• Coordinate cross-functional teams across product, engineering, quantitative modeling, and business functions to keep delivery on track, remove blockers, and resolve issues quickly.
• Gather and document business requirements, perform gap analysis, and ensure solutions meet business objectives and fit into the broader Treasury and risk platform ecosystem.
• Identify project and product risks early, develop mitigation plans, and escalate issues as needed to support successful delivery.
• Track progress against timelines, objectives, and quality standards, and use feedback, metrics, and outcomes to improve product delivery over time.

Qualifications:

• 12+ years of experience in technical product management, quant management, or a similar role, with a strong track record of delivering complex technology solutions in financial services.
• Strong understanding of capital markets and Treasury-related functions, including cash and collateral management, prime brokerage (PB), margining, repo, securities lending, liquidity, and funding.
• Demonstrated ability to manage complex, cross-functional initiatives with multiple stakeholders and tight timelines.
• Strong business analysis skills, including requirements gathering, gap analysis, process mapping, and translating business needs into practical technical solutions.
• Strong leadership, communication, and interpersonal skills, with the ability to work effectively across both business and technical teams
• Strong analytical and problem-solving abilities, with comfort working with data, metrics, and financial concepts to support prioritization and decision-making.
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities and keep workstreams moving in a fast-paced environment.

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. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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As a Compliance Analyst on our team, you will have the opportunity to provide both high-level analysis and day-to-day support in connection with the Firm's compliance programme. The role demands an ability to multi-task, work within a team as well as independently, and communicate effectively with business groups. It requires an individual who understands the necessity for confidentiality and professionalism at all times.

Responsibilities:

Assist in the Firm's global compliance programme, records, and systems, which include regulatory filings, examinations, investigations, regulatory inquiries, audits, and inspections Manage the Firm's code of ethics/personal trading policies utilising compliance software Liaise with employees to ensure all necessary personal trading information is provided to the Firm to enable trade monitoring in accordance with regulatory requirements Work on the personal trading programme including personal trade disclosures, pre-approval requests and reconciliation Coordinate the Firm's compliance certification programme Help with preparation, delivery, and tracking of relevant compliance trainings Facilitate the development of controls and system enhancements to improve the Firm's compliance programme Aid with the internal compliance projects, such as preparing metrics of department projects and trend analysis Undertake ad-hoc compliance-related projects, as assigned

Qualifications:

1+ years' experience in financial services control functions, ideally Hedge Fund and Private Equity regulatory compliance experience or accounting, investor services, policy, audit or similar process-driven and detail-oriented experience in financial services Bachelor's degree from an accredited university or college with a strong academic record Strong attention to detail and organisation skills, possess the ability to spot issues, and respond timely Outstanding verbal and written communication skills, with poise and confidence to interact with internal clients at all levels Ability to prioritise in a fast-paced, high-pressure, constantly evolving environment with high urgency and ownership Ability to learn and develop ownership of systems

The estimated base salary range for this position is $70,000 to $160,000, 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. When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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As a critical member of the US Medical Affairs team, you will be responsible for providing scientific leadership, external engagement, and cross-functional influence to advance evidence generation, medical education, and development of medical affairs strategy to support commercialization strategic plans of the portfolio.

Key responsibilities include:

• Overseeing US medical affairs strategy and contributions into the Bayer pipeline portfolio in collaboration with medical directors and in alignment with the VP of Specialty and Pipeline TA.
• Providing input, appropriate to the Phase of development of a product to ensure US perspective and needs are incorporated into development strategy.
• Active participation and effective collaboration with global teams to assure the efficient and expedient conduct of clinical development programs, aligning them with strategic priorities that support appropriate US direction of the Life Cycle Management strategy.
• Working collaboratively with US New Product Commercialization, Market Access and US regulatory teams to provide expert medical input into strategic plans.
• Serving as a member of Product Team and/or Clinical Strategy Team leadership of multiple assets in different therapeutic areas.
• Supporting development and execution of the US medical strategy, offering critical inputs during design and throughout the end-to-end execution of programs, in alignment with senior medical leadership.
• Collaborating cross-functionally with Global Evidence Generation, Clinical Development, Regulatory, Commercial and other medical affairs partners to develop and implement the Integrated Evidence Plans to improve the value proposition for the portfolio.
• Contributing to publication planning, data interpretation, and scientific dissemination in the US.
• Providing medical scientific input for brand and program documents, including integrated disease area plans, medical information documents, drug safety reporting documents, etc, while ensuring design and execution of all medical activities are according to internal and external compliance guidelines.
• Monitoring and understanding implications of evolving competitor landscape to inform medical strategy.
• Supporting completion of annual New Drug Application (NDA) reports for respective brands through evaluation of clinical data and literature and provide US Medical Affairs input in the preparation of key medical documents for INDs and NDAs.

Additionally, you will:

• Develop and guide local Thought Leader (TL) engagement strategy, together with cross-functional partners.
• Serve as the US medical expert engaging thought leaders, academic institutions, medical societies, and patient advocacy groups to advance scientific leadership and collaboration.
• Lead and support advisory boards, including agenda development, faculty engagement and synthesis of insights to help inform medical strategy.
• Represent US Medical Affairs at major congresses, symposia and scientific forums.

To be successful in this role, you will need:

• An M.D. or D.O. degree.
• Agility and ability to flex into different therapeutic areas.
• Clinically relevant work experience or independent research experience or equivalent or experience in a pharmaceutical related industry.
• Experience working in or deep understanding of in-hospital consideration in US healthcare delivery.
• Deep understanding of clinical trial design, analysis and interpretation as well as the principles of observational studies and health economics/ outcomes research.
• Robust understanding of regulatory and market access considerations and triangulating those to implications on clinical trial design and clinical care delivery.
• Proven ability for strategic planning along with operations skill and experience related to clinical research involving both single and multiple centers.
• Strong ability to quickly build meaningful and trusting relationships, both internally and externally to the organization.
• Understanding of the drug development process over different stages.
• Strong ability to connect and collaborate across different functions and background, both internally and externally to the organization.
• Innate ability to lead others without formal authority, with demonstrated experience guiding teams from design to implementation of strategic initiatives.
• Excellent communication skills, both verbal and in written.
• Willingness and ability to travel as business dictates, both for internal and external functions.

Preferred qualifications include:

• Board certification or board eligibility in cardiovascular, neurology, critical care medicine.
• 7 years work experience in the pharmaceutical sector in Medical Affairs, Clinical Development or related positions.
• Experience in the field of medical support of a product portfolio across multiple therapeutic areas.
• Experience in leading and participating in teams across cultures and geographies, prior experience in global medical launch planning activities.

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As a Staff Security Engineer, you will design and implement scalable triage, prioritization, and remediation-tracking systems across application, infrastructure, and hardware domains. You will set technical standards, drive high-impact initiatives, and mentor engineers through technical leadership, while partnering with leadership on priorities and execution risks.

Key Responsibilities:

• Lead high-complexity VM technical initiatives and deliver architecture decisions for assigned program areas
• Design and build scalable triage automation, including integrations, decision logic, and production hardening
• Implement end-to-end workflow components from assessment and detection to ticket routing and remediation tracking
• Provide deep technical leadership on hardware-adjacent vulnerabilities (GPU firmware, DPU firmware/BlueField, and BMC surfaces)
• Act as senior technical responder for embargoed disclosures and zero-day events, coordinating with owner teams that deploy fixes
• Improve prioritization logic, severity models, and exception workflows through code, design reviews, and technical proposals
• Produce actionable technical metrics and risk insights for leadership consumption
• Lead root-cause analysis for high-impact vulnerability incidents and implement durable technical improvements
• Mentor IC3/IC4/IC5 engineers through design guidance, code review, and incident coaching
• Partner with security, engineering, and operational stakeholders to improve workflow reliability and accelerate remediation outcomes

Requirements:

• 9+ years of relevant experience with demonstrated strategic impact in vulnerability management, application security, platform security, or cloud security engineering
• Proven track record building and scaling security automation (SOAR workflows, AI/ML systems, detection pipelines) in production environments
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, threat intelligence integration, and risk-based prioritization frameworks
• Excellent development background with strong coding skills in Python, Go, or similar languages for building scalable, production-grade security systems
• Significant experience with modern vulnerability management tooling (for example Wiz, Semgrep, Rapid7, Tenable, or equivalent)
• Experience with specialized infrastructure: GPU/DPU environments, firmware security, hardware vulnerabilities, or high-performance computing
• Demonstrated track record mentoring engineers across levels and driving cross-functional technical initiatives at organizational scale
• Strong business acumen and understanding of how security decisions impact engineering velocity, customer trust, and business outcomes

Preferred Qualifications:

• Practical experience building AI/ML-powered security systems (LLM integration, automated decision-making, human-in-the-loop validation) in production
• Experience managing hardware vendor security partnerships (embargoed disclosures and pre-release collaboration)
• Production experience with security automation platforms such as TINES and serverless frameworks (AWS Lambda, GCP Cloud Functions)
• Strong DevOps, DevSecOps, or SRE background with deep experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of Kubernetes security (container scanning, admission controllers, supply chain security, runtime protection)
• Experience leading security programs through rapid hypergrowth (10x+ infrastructure scaling) in startup or cloud-native environments
• Practical experience managing vulnerabilities within a FedRAMP-certified environment or similar regulatory frameworks

Salary and Benefits: The base salary range for this role is $188,000 to $275,000. 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).

Work Environment:

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.

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You will also provide support for the Board of Directors and executive leadership team on governance- and shareholder-related matters, including preparation and review of agenda and materials for meetings of the Board and its committees. Additionally, you will support corporate transactions, including drafting and negotiation of NDAs, letters of intent, definitive agreements, and other ancillary documents in mergers and acquisitions and financial transactions.

To be successful in this role, you will need to have a Juris Doctor (J.D.) from an ABA accredited institution, a current, active license to practice law in the United States, and prior relevant experience in corporate governance and securities law. You should also have excellent judgment, attention to detail, communication (verbal and written), organizational and interpersonal skills, and the ability to work collaboratively across multiple groups and functions.

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The ideal candidate thrives in a high-growth start-up, is detail-oriented, and has excellent interpersonal and communication skills. Additionally, the candidate has demonstrated the ability to build scalable cross-functional relationships through systems and process implementation.

Responsibilities:

• Prepare journal entries and day-to-day corporate accounting activities, support the month-end close process, and provide timely and accurate month-end close financials that are U.S. GAAP compliant
• Build or enhance balance sheet account reconciliation workpaper including reviewing and performing some clean-up of historical reconciliations and related balances
• Collaborate within Accounting and Finance teams on metrics, flux analysis, forecast, and projections and support preparation of the monthly reporting package
• Prepare documents supporting internal and external audits and ensure the successful completion of those audits
• Support the implementation of new systems, tools, and processes to streamline close and build scalable solutions to support the growth of the Company
• Identify and drive process improvements to gain efficiencies and reduce close timeline
• Develop, maintain and improve internal controls which relate to assigned areas

Ideally You Have:

• Bachelor’s degree in Accounting; CPA or in the process of working towards one
• 3+ years of relevant accounting experience; Combination of public accounting (Big 4 strongly preferred) and industry experience (start-up through to becoming a public Company experience a plus)
• Strong knowledge of U.S. GAAP and SOX
• Experience with general ledger functions and the month-end/year-end close process is strongly preferred
• Experience with financial audit preparation is strongly preferred
• Proven proficiency of Microsoft Office Suite (Word, PowerPoint, etc); must be highly proficient in Excel
• Excellent writing, oral communication, analytical, organizational, and interpersonal skills with a high attention to detail
• Excellent problem-solving skills; project management experience a plus, ability to work in a fast-paced environment

Nice to Haves:

• Direct accounting experience for any/all of the following areas: accruals, investment, internally used software, ASC 842 leases, cloud computing arrangement, stock-based compensation and/or consolidation and Fx.
• Proficiency in SQL, NetSuite, FloQast, Coupa, and Jira considered a plus

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

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

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

We're seeking a Senior Staff Software Engineer to serve as Coinbase's Solana Staking Protocol CTO , the definitive technical authority on all things Solana staking across the company.

This is not a typical engineering role. You will combine deep Solana protocol mastery with strategic technical leadership to shape Coinbase's Solana staking trajectory for years to come.

You will own the technical strategy across validator operations, staking integrations, and protocol evolution , partnering directly with engineering leadership, product teams, and external ecosystem players including the Solana Foundation.

You will represent Coinbase on the world stage as a recognized Solana expert, speaking at conferences, engaging with the validator community, and influencing protocol direction.

Internally, you will be the go-to expert for any Solana staking technical decision, from runtime-level optimizations to cross-product integration strategy.

Responsibilities

Define Solana Staking Strategy

Own and drive Coinbase's multi-year technical strategy for Solana staking across validator performance, protocol participation, and product integration.

Connect engineering decisions to business outcomes including yield optimization, cost efficiency, and customer growth.

Maximize Validator Performance

Lead the engineering effort to achieve industry-leading APY through validator optimization , including vote accuracy, block production, MEV strategies, commission tuning, and stake distribution.

Build systems and tooling that give Coinbase a durable performance edge.

Own Protocol Expertise

Serve as Coinbase's foremost authority on the Solana runtime, consensus mechanism, staking economics, and validator client landscape (Agave, Firedancer, etc.).

Evaluate protocol upgrades (e.g., SIMD proposals), assess risks, and proactively position Coinbase for changes before they land.

Drive Cross-Product Integration

Partner with Retail Staking and Institutional Staking product and engineering teams to architect scalable staking integrations across Coinbase's product surface area.

Ensure Solana staking is deeply embedded and differentiated in every Coinbase staking product.

Build External Presence & Influence

Represent Coinbase in the Solana ecosystem.

Maintain deep relationships with the Solana Foundation, core development teams, other major validators, and ecosystem partners.

Speak at major conferences (Breakpoint, etc.) and contribute to protocol governance.

Be Coinbase's voice on Solana staking.

Lead Technical Execution

Write production code.

Design and build critical infrastructure for validator operations, monitoring, automation, and reliability.

Set the technical bar for the team , code reviews, architecture decisions, incident response.

Expand Beyond Staking

Serve as a technical advisor on non-staking Solana initiatives where deep protocol knowledge is required (e.g., Solana tax infrastructure, token programs, new Solana-based products).

Mentor and Scale the Team

Elevate a team of strong engineers (IC4-IC5) through mentorship, architectural guidance, and raising the bar on Solana-specific domain expertise.

Define what great Solana engineering looks like at Coinbase.

Requirements

Deep Solana Protocol Expertise

You have extensive, hands-on experience with Solana's architecture , Eg: the runtime, validator mechanics, staking economics, consensus (Tower BFT), turbine, Gulf Stream, and the validator client ecosystem.

You understand Solana at the source-code level, not just the API level.

Technical Authority & Execution

You are a strong IC7-caliber engineer.

You design and build complex distributed systems.

You write production code in Rust and/or Go.

You have deep experience with infrastructure at scale , bare metal, cloud, networking, observability.

Strategic Vision

You can define year-long technical strategies and connect them to business goals.

You break down ambiguous, large-scope problems into executable plans with measurable milestones.

You think in terms of competitive advantage, not just engineering correctness.

Ecosystem Presence & Influence

You are a known figure in the Solana ecosystem.

You have existing relationships with the Solana Foundation, core contributor teams, and major validators.

You have a track record of public speaking, community engagement, or protocol governance participation.

Cross-Functional Leadership

You partner effectively with product, business, and executive stakeholders.

You translate complex protocol dynamics into business-relevant terms for non-technical audiences.

You drive alignment across multiple teams and functions.

Passion for Solana

This isn't a role for a generalist who happens to know some Solana.

You are genuinely passionate about the Solana ecosystem, follow protocol developments closely, and have a strong thesis on where Solana staking is headed.

Ability to Responsibly Use Generative AI Tools

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

Nice to Have

Core Contributor to Solana Validator Clients

Core contributor to Solana validator clients (Agave, Firedancer) or significant Solana ecosystem projects.

Experience Operating in Highly Regulated Industries

Experience operating in highly regulated industries or security-first cultures.

Background in Financial Services

Background in financial services, fintech, or crypto custody.

Track Record of Publishing Technical Content

Track record of publishing technical content (blog posts, research, conference talks) on Solana or Blockchain in general.

Experience with Solana's Evolving Staking Landscape

Experience with Solana's evolving staking landscape , liquid staking, stake pools, restaking protocols.

Familiarity with Other PoS Protocol Staking Operations

Familiarity with other PoS protocol staking operations (Ethereum, Cosmos ecosystem) for comparative perspective.

Pay Transparency Notice

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

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

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

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

As an Institutional Account Manager, you’ll join a dynamic, collaborative team of professionals whose performance is critical to Coinbase achieving its mission.

You will serve as a subject matter expert for Coinbase’s institutional suite of products, providing world-class service and support to our most valued institutional clients.

Diligent, customer-focused, and with a bias towards action, you will play a crucial role in the success of the Sales, Trading and Prime organization as we help build the crypto economy.

Responsibilities:

• As an Account Manager, you will be responsible for supporting some of Coinbase Institutional’s highest priority clients and working on initiatives to deliver an excellent client experience.

• You will partner with Senior Account Managers and Management to help support large and complex relationships across client segments including asset managers, banks, corporates and more.

• Understand complex, multi-product client workflows and strategies to ensure that our institutional clients are integrated appropriately and use our product suite efficiently with a focus on Coinbase Prime.

• This role will involve you working closely with cross-functional partners including Sales, Trading, Legal, Compliance and Operations to onboard clients and ensure they are supported across our full institutional product suite.

• You’ll provide a best-in-class experience for our clients through effective stakeholder management, conclusive prioritization, and efficient execution across initiatives.

• Effectively triage, manage, and prioritize incoming client requests. Handle requests through to resolution with limited support, including delegating across teams of subject matter specialists.

• Facilitate product demo calls, serving as subject matter specialist on product features in partnership with Sales.

• Distill client feedback to internal teams including Operations, Engineering, and Product when surfacing feature requests and manage client expectations.

• Manage client-related and team projects diligently and efficiently driving towards results that deliver on the client experience and efficiency.

What we look for in you:

• 4+ years of experience in the institutional client relationship space.

• Exceptional verbal and written communication skills with a focus on influencing outcomes.

• Ability to foster trusted and lasting relationships with clients and internal stakeholders to deliver results.

• Understanding of risks across key functions and workflow to identify issues and concerns.

• Organized and independent working style to enable you to manage your book of clients effectively.

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

Nice to have:

• Digital Assets experience & knowledge.

• Prior Prime Brokerage experience.

• Professional fluency in Mandarin is desired.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

$178,700-$178,700 SGD

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

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

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

We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

This is a hands-on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python.

You'll work end-to-end , from discovery and scoping through prototyping, launch, and iteration , using the latest agentic frameworks, tool-calling patterns, and responsible AI practices.

What you'll do:

• Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities.
• Map and improve business processes: document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance).
• Design end-to-end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users.
• Build and ship production-quality software: Write clean, maintainable code and tests.
• Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage.
• Champion for responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data.
• Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams.
• Accelerate Workflows with Generative AI and Automation: Leverage AI to accelerate execution (e.g., draft, prototype, outline), explore alternative solutions using AI (iterate, compare approaches), synthesize information with AI (summarize, distill key themes), automate repeatable work (documentation, reporting, QA checks)

What we're looking for:

We're looking for mid-level engineers who have already shipped something real with AI , and who can work as a peer with non-technical business partners, not just as an order-taker.

Specifically, you bring:

• Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems , backend services, internal tools, integrations, or data applications.
• Hands-on AI and automation delivery. You've shipped AI-powered or automation-driven solutions in a real environment.
• Agentic AI literacy. You understand how modern agentic systems are constructed , the difference between local and remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how A2A (Agent-to-Agent) coordination is structured.
• System design and architecture thinking. You can sketch a data flow, reason about integration points, evaluate trade-offs between approaches, and design for failure , including fallbacks, retry logic, timeouts, and human escalation paths.
• Data and security judgment. You understand data access controls, the risks of giving AI broad access to sensitive information, PII minimization, audit logging, and what responsible data handling looks like in an enterprise environment.
• Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations , understanding their workflows, KPIs, and constraints well enough to scope solutions that fit their real needs.
• Clear, collaborative communication. You can explain architecture trade-offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon.

Preferred Qualifications:

• Experience working embedded with or alongside corporate / G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar).
• Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling.
• Familiarity with MCP server design , including building, deploying, and securing MCP-compliant tool servers.
• Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human-in-the-loop review queues, or A/B testing of AI-powered features.
• Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII-sensitive / regulated domains.
• Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or enterprise search integrations.
• Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM-powered features.

Relocation Statement:

This position is not eligible for relocation assistance.

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

In-Office Requirement Statement:

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE #LI-KBF

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Responsibilities:

• Design and implement foundational patterns and libraries for Python applications, across a range of technologies from API services to event processing
• Utilize Infrastructure as Code (IaC) tools to ensure reproducible and scalable environment setups
• Design and implement infrastructure for applications hosted on AWS, supporting event-driven systems, containerized services on Kubernetes, and serverless functions
• Develop and maintain robust CI/CD pipelines using tools such as Jenkins, ArgoCD
• Have experience automating the lifecycle management of code from development through production, including code promotion and configuration management
• Instrument observability through tools such as CloudWatch and DataDog to monitor and optimize application performance across multiple environments
• Scale infrastructure to meet increasing demand while managing cost effectively
• Have experience defining, instrumenting and measuring standards for quality, security, scalability, and availability with a focus on delivering business value
• Have passion for delivering turn-key developer experience for local development
• Keen interest in developing talent through mentorship
• Strong written and verbal communication, tailored to a variety of audiences
• A strategic thinker with a product-first approach and customer obsession

Requirements:

• At least 6 years of professional experience in a platform engineering team within a product-centric company
• Experience working with an RPC architecture
• Experience working at or having worked at a technology startup and familiar with the challenges of evolving platform maturity
• First-hand experience navigating multiple distributed architecture patterns

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

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Key Responsibilities:

• Own a significant portion of direct project delivery for client engagements, with support from team members as needed.
• Serve as the primary point of contact for clients throughout the AI engagement lifecycle, from initial scoping and pilot design through execution and final delivery.
• Lead strategic advisory conversations with senior client stakeholders, translating Komodo's AI capabilities into actionable solutions for their business needs.
• Manage 3-5 concurrent AI engagements, balancing timelines, deliverables, and client expectations across accounts.
• Support presales and renewal conversations by bringing credible AI and life sciences expertise to the table.
• Proactively identify risks and opportunities within client engagements, escalating or acting as appropriate.
• Contribute to the development of the AI engagement practice by documenting learnings and refining delivery processes over time.

Requirements:

• Willingness to travel approximately 50% of the time to support client engagements.
• Experience in management consulting with a focus on strategic advisory work, preferably at a top-tier or life sciences-focused firm.
• Direct experience working with pharmaceutical, biotech, or broader life sciences clients.
• Hands-on experience scoping, managing, or delivering AI or digital transformation pilots in a client-facing context.
• Strong executive presence with the ability to lead complex conversations with senior stakeholders.
• Excellent project management skills , comfortable managing multiple engagements simultaneously in a fast-moving environment.
• Familiarity with healthcare data, commercial life sciences functions, or real-world evidence.
• Ability to operate with autonomy and adapt quickly in a high-growth, ambiguous environment.

Expectations of AI Use in this role:

• Apply AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.
• Use AI to accelerate feedback loops, test ideas, and make informed decisions faster.
• Apply both judgment and creativity when working with AI and understand its limitations.
• Demonstrate curiosity and initiative in exploring new AI tools and workflows relevant to their role.
• Have developed or shared AI-enhanced workflows, automations, or prompts with others.
• Bring a reflexive AI mindset and use AI as a natural part of their process to iterate, research, and deliver better work.
• Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.
• Regularly leverage AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot to improve speed, clarity, or creative output.

Salary Range: $142,000-$220,000 USD depending on location.

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You will be tasked with stabilizing, optimizing, and making them exceptionally robust. Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

The successful candidate will have 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3. They will have proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems, including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.

Key responsibilities will include stabilizing and optimizing existing Oracle Fusion ERP integrations, architecting and building new enterprise integrations using Oracle Integration Cloud, owning the integration lifecycle, ensuring data integrity, collaborating and influencing with cross-functional teams, and leveraging modern Oracle Cloud tools.

The ideal candidate will have excellent SQL skills, a strong command of XSLT, XPath, and complex data mapping, demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services, and experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.

A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems, the successful candidate will be highly motivated, with a passion for delivering high-quality solutions and a commitment to continuous learning and improvement.

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Financial services and insurance organisations are among the earliest adopters of enterprise AI, and this role sits at the intersection of deep industry expertise and Anthropic's mission to build safe, reliable AI systems that deliver real business value.

You'll be responsible for developing and executing industry campaigns, ABM, and targeted marketing programs that drive awareness, pipeline, and adoption of Claude and Anthropic's API among financial institutions, insurers, and related firms.

This means deeply understanding the unique challenges, regulatory landscape, and decision-making dynamics of this segment , and translating that understanding into campaigns, content, and experiences that resonate with technical and business stakeholders alike.

This is an ideal opportunity for someone who thrives at the intersection of strategic thinking and hands-on execution, and who is energised by the challenge of bringing frontier AI technology to an industry where trust, compliance, and reliability are non-negotiable.

Responsibilities:

• Develop and own the marketing strategy for the Financial Services & Insurance segment, including positioning, messaging, campaign planning, and go-to-market coordination in close partnership with Sales

• Create and execute integrated marketing programs , spanning digital, content, events, and partner channels , designed to generate pipeline and accelerate the sales cycle for enterprise prospects in this vertical

• Build a deep understanding of the competitive landscape, buyer personas, and AI adoption patterns specific to financial services and insurance, and translate those insights into actionable marketing strategies

• Develop segment-specific content including case studies, solution guides, thought leadership pieces, and enablement materials that speak to the priorities and pain points of this industry

• Collaborate cross-functionally with product, sales, communications, design, and research teams to ensure marketing efforts are aligned with product capabilities and business objectives

• Design and implement ABM campaigns for top strategic accounts

• Manage relationships with industry analysts, event organisers, and strategic partners to expand Anthropic's reach and credibility within the segment

• Define and track key performance metrics for segment marketing programs, using data to continuously optimise campaigns and report on impact to leadership

• Stay current with regulatory developments, industry trends, and evolving AI adoption dynamics in financial services to inform marketing positioning and content strategy

You may be a good fit if you:

• Have 7+ years of experience in B2B marketing, with a focus on enterprise technology or SaaS, and demonstrated expertise in one or more verticals within financial services or insurance

• Have a strong track record of developing and executing integrated marketing programs that have measurably driven pipeline and revenue in complex, enterprise sales cycles

• Understand the decision-making dynamics, regulatory considerations, and technology evaluation processes that are common in financial services organisations

• Are skilled at translating complex technical capabilities into compelling, audience-specific narratives , particularly for both technical and business stakeholders

• Have experience collaborating closely with enterprise sales teams to align marketing strategy with deal-stage needs and pipeline goals

• Are comfortable with ambiguity and can balance long-term strategic planning with rapid, tactical execution in a fast-moving environment

• Are a strong communicator who can present clearly to leadership, cross-functional partners, and external audiences

• Care about ensuring that AI systems are developed safely and responsibly, and are excited about communicating that story to a sophisticated audience

Strong candidates may also have:

• Experience marketing AI or machine learning products to regulated industries

• Familiarity with the specific compliance and risk management frameworks relevant to financial services (e.g., SOC 2, SOX, banking regulations)

• Background in analyst relations or thought leadership programmes within the financial services technology space

• Experience working at a high-growth technology company navigating rapid expansion into new verticals

• A track record of building segment marketing functions from the ground up or scaling them in fast-moving organisations

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: $255,000-$320,000 USD

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Reporting to the Director, Product Operations, you will lead key projects, orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, establish coding, data management, and documentation standards and best practices, and act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.

Key Responsibilities:

• Build reports and dashboards for monthly, quarterly, and executive-level reporting
• Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
• Establish coding, data management, and documentation standards and best practices
• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.

• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.

• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.

• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For:

• 5+ years of experience in data and analytics, ideally at a SaaS company or large tech company
• Comfort navigating large datasets using SQL-based tools and delivering dashboards and BI visualizations
• Ability to translate complex data into actionable insights, the communicate and action those insights
• Proven track record driving cross-functional initiatives and collaborating across different organizations such as Product, Engineering, Data Science, GTM, and Support teams
• Excellent communication and stakeholder management skills, with an ability to influence without authority
• Strong process-orientation and systems thinker with bias for action
• Data-driven decision-making
• Experience working in a high-growth, fast-paced environment and managing multiple priorities

Nice to Have:

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

Pay Range Transparency

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

For more information regarding which range your location is in visit our page here.

Local Pay Range $130,400-$182,600 USD

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You will lead the regional renewals strategy and help build a consistent, scalable approach to renewals that supports customer outcomes and business goals. Working closely with Sales, Customer Success, channel partners, Revenue Operations, and Legal, you will guide the end-to-end renewals motion, improve forecast visibility, and help teams respond early to risk and opportunity.

In this role, you will also contribute to how GitLab evolves its renewals processes, systems, and operating rhythm in a fast-moving environment. This is an opportunity to lead a high-impact function at a company that values transparency, iteration, and results while serving customers across a diverse EMEA market.

Some examples of our projects:

• Building and improving regional renewals programs that increase predictability, support customer retention, and create clear operating processes

• Partnering with Sales, Customer Success, channel partners, Revenue Operations, and Legal to manage complex renewal workflows and improve forecast accuracy

Responsibilities:

• Lead customer retention across EMEA through proactive planning, management, and execution of renewals with customers and internal stakeholders.

• Develop and communicate the regional renewals strategy, helping prioritize team efforts, initiatives, and goals in support of business outcomes.

• Own and drive the renewals process in collaboration with Sales, Customer Success, channel partners, Revenue Operations, and Legal.

• Hire, coach, and support a high-performing renewals team, with a focus on accountability, development, and delivery against key performance indicators.

• Continuously improve renewals processes, policies, and playbooks to increase predictability, efficiency, and customer satisfaction.

• Identify and manage renewal risk and expansion opportunity across the region while maintaining visibility into the renewals forecast.

• Drive improvements in systems, data quality, and automation to support more effective renewals execution and stronger operational insight.

• Negotiate and execute renewal agreements in alignment with customer goals and internal policies while helping the organization meet retention-focused metrics.

Requirements:

• Experience leading renewals, retention, sales, or related customer-facing functions in a SaaS or subscription business.

• Demonstrated ability to deliver against revenue-related goals and operate effectively in a fast-paced, evolving environment.

• Experience developing, leading, and growing teams, with a people-first approach to coaching and performance management.

• Strong ability to work across functions and influence stakeholders with different priorities, including Sales, Customer Success, channel teams, Revenue Operations, and Legal.

• Data-informed decision-making skills, including experience using systems, reporting, and process improvements to increase operational effectiveness.

• Understanding of both direct and channel go-to-market motions and how they affect the renewals lifecycle.

• A values-aligned leadership style with the ability to model collaboration, transparency, and accountability in a remote environment.

• Ability to use GitLab.

About the team:

The Renewals team at GitLab is responsible for helping customers continue their journey with GitLab by managing a renewal process that is clear, timely, and aligned with customer needs. We work across regions and functions to support retention, reduce risk, and create a better customer experience at important moments in the subscription lifecycle.

Our work requires strong coordination, sound judgment, and a steady focus on process quality, forecasting, and partnership. As part of a distributed organization, we operate with a high degree of ownership and asynchronous collaboration while staying closely connected to broader go-to-market priorities across GitLab.

If you enjoy building structure, improving operations, and helping others do their best work, you will thrive with us.

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As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities:

• Design, build, and operate distributed backend systems that power secure sandboxed execution environments
• Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
• Implement and maintain serverless architectures and container orchestration systems
• Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
• Develop monitoring, alerting, and observability systems to ensure operational excellence
• Participate in on-call rotations and incident response to maintain system reliability
• Contribute to infrastructure automation and tooling that improves developer productivity
• Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees

You may be a good fit if you:

• Have 5+ years of experience building and operating backend infrastructure at scale
• Have deep expertise in distributed systems design and implementation
• Have strong operational experience, including debugging complex production issues
• Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
• Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
• Are comfortable working with infrastructure as code and modern DevOps practices
• Have strong programming skills in languages such as Python, Go, or Rust
• Are results-oriented with a bias towards flexibility and impact
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have experience with:

• Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
• Designing and implementing secure multi-tenant systems
• High-performance computing environments or ML infrastructure
• Linux systems internals, including namespaces, cgroups, and seccomp
• Network security and isolation techniques
• Building systems that support research workflows and rapid iteration

The annual compensation range for this role is $300,000-$405,000 USD.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

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The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.

You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice, although we also have some components written in NodeJS.

The team is responsible for deploying, maintaining, and operating its pipelines and services. Our Zus engineering teams are all US-based, and we hire only in the US.

In Data Acquisition, we work across a collection of US timezones and also collaborate with our development partners in Central European Time.

Zus supports both remote work and hybrid work in the Boston area with an office near South Station, and our teams are a mix of both styles of work.

We actively work to make sure all voices are heard and information is shared regardless of your work location.

You're a good fit because you...

• Are scrappy and you move fast
• Have experience with operationally stable and cost efficient data pipelines
• Enjoy owning your work and seeing it deploy safely in production
• Have experience building backend software in any language (we use mostly Go with a bit of Node)
• Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation, Chef)
• Are excited to ~ finally! ~ enable a true digital revolution in healthcare
• Thrive amid the changing landscape of a growing and evolving startup
• Enjoy collaboration and solving unique problems
• Are comfortable working remotely (EST/CST preferred as that is where our team is located) and are willing to travel for in person collaboration occasionally

It would be awesome if you were...

• Experienced in building and running large-scale systems in the cloud
• Experienced in building services and APIs used by third-party developers
• Knowledgeable about application security
• Experienced in working with healthcare data and APIs
• Familiar with the FHIR and/or TEFCA standards

Additional Information

This role can be hybrid in Boston or mostly remote. We’re flexible, because we trust our people to do great work wherever they’re most productive. We’re proudly remote-first, but not strangers by any means. We get together a few times a year to build real rapport, align on strategy, and connect as people.

We believe strong culture is built on trust, transparency, and showing up online or or in person. So yes, work from where you thrive… and plan on the occasional gathering where the strategy is sharp, the conversations are candid, and the snacks are usually excellent.

We will offer you…

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

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You'll partner with our tech & business hiring managers to find world-changing talent for Mistral. You'll be charged with finding unique candidates who bring an entrepreneurial spirit, strong commitment and passion for success. You will be responsible for guiding candidates through our hiring process and introducing them to the magic of working at Mistral.

An early joiner of Mistral, you will contribute to shaping the recruitment process and our TA machinery. Your scope will be as follows:

Hire

• Obsessed by bringing top talents
• Successfully fulfill complex positions in multi-geography environment
• Identify, attract, and ensure high-touch candidate experience to continuously deliver high-quality candidates and meet hiring goals.

Improve processes and candidate experience

• Dive deep into data and root cause issues.
• Proactively identify and solve problems.
• Help improve our process, documentation, tooling and talent market intelligence.
• Contribute to continuous improvement and innovation in the efficiency and effectiveness of our systems, services, and processes.

About you

• 6+ years of experience in recruiting and at least 2 years of experience operating in a startup or growth stage company.
• A self-starter who is result-oriented, resourceful, innovative, intellectually curious, and who takes initiative and risks.
• You have an expertise with least two of these functions: Enterprise GTM roles; Corporate functions; Product Engineering/ Infrastructure or Science/Research Engineers
• Experience in complex recruiting and autonomous hiring in outbound contexts
• Experience working to recruit in highly competitive talent markets
• Strong written and verbal communication
• No ego and highly committed to deliver.
• Able and keen to jump from strategic topics to very hands-on work
• Open learning mindset and fast learner, demonstrated capacity to quickly grasp new complex topics
• Capability, credibility, and consultative skills to influence senior colleagues and stakeholders without authority.
• Organized, disciplined and strong at project management
• Comfortable working within the ambiguity of a small, growing startup with a strong desire to turn that ambiguity into a well-defined machine.
• Target driven, detail oriented and approachable with the ability to prioritize and work well in an environment with competing demands.
• Ideally, proficiency with Lever, LinkedIn Recruiter, and Modernloop
• Ideally, you have a track record of recruiting both in business & tech roles

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This position requires a deep understanding of cryptocurrencies, blockchain technology, financial operations, and risk management. You will leverage deep understanding of traditional financial services, products and strategies as required to provide thought leadership and strategic support to Anchorage Digital clients and the goals they have to implement their own strategies.

Key Responsibilities:

• Efficiently manage all Counterparty and Client settlement requests within agreed SLAs.
• Monitor progress towards meeting established KPIs for trade operations.
• Support day-to-day spot, lending, and derivatives operations, ensuring all relevant processing and maintenance functions are completed accurately, within prescribed time-frames, and in accordance with established procedures.
• Utilize blockchain explorers, trading platforms, and other relevant software and tools to reconcile and monitor the activity of different digital assets across both internal ledgers and external systems (banks, custodians, etc.).
• Perform cash positioning and inventory management for various product flows to ensure that we have the right assets at the right place at the right time to optimize the firm’s treasury management, mitigate risks, and streamline client settlements.
• Work with engineering and product teams to streamline trading, settlement, and risk operations workflows
• Collaborate with the Accounting and Finance teams to ensure timely provision of accurate trade and settlement data and assist in the resolution of breaks.
• Develop and implement process improvement initiatives to ensure optimal operational efficiency

Requirements:

• 3+ years experience supporting the settlement activities of institutional clients in both traditional asset classes and crypto assets.
• Have experience with and understanding of crypto-native institutions.
• Demonstrated problem-solving skills and agility, to identify emerging risks quickly, brainstorm solutions, and pivot when goals change.

Preferred Qualifications:

• Experience in Python, SQL, low-code platforms is a plus.
• A passion for building early-stage startups.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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This role is designed for engineers with several years of experience building and supporting production software who are excited to grow their technical scope and domain impact. Depending on experience and demonstrated impact, this role may be leveled as Software Engineer I (SWE I) or Software Engineer II (SWE II).

Key Responsibilities:

• Design, implement, test, and maintain features in BigHat's internally developed, cloud-based LIMS+ platform.
• Work independently on well-scoped features and improvements, following work through implementation, testing, and release.
• Collaborate closely with cross-functional partners (scientists, product owners, and other engineers) to translate real-world lab workflows into reliable software.
• Participate actively in engineering ceremonies, technical discussions, and code reviews.
• Own the quality and outcomes of your work, including debugging, test failures, and production issues.

This role reports to the Lab Systems Lead and works closely with the Lab Systems Product Owner, with responsibilities that impact teams across BigHat.

About You:

• You have experience contributing to and owning work in a production software environment.
• You are comfortable working independently on small to medium features and improvements.
• You communicate clearly about progress, risks, and tradeoffs, and collaborate effectively with peers and partners.
• You take ownership of your work and follow issues through to resolution.
• You are curious and motivated by building software that supports real users doing complex work.

Experience:

• 3–5 years of professional software engineering experience building production systems OR 2+ years of professional software engineering experience with prior experience in biotech, life sciences, laboratory environments, or scientific software, where domain knowledge meaningfully accelerates impact.

Relevant Tech / Skills:

• Experience with some (not necessarily all) of the following: TypeScript, React, Material-UI, Vega, Python 3, SQLAlchemy, RESTful API design, AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena), relational databases (e.g., PostgreSQL), Pandas, PyTorch or other ML frameworks (nice to have, not required).

Benefits:

• The salary estimated for this position is $135,000 - $175,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
• Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
• Dental, and vision coverage through Guardian
• Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
• 401(k) with company match
• DTO, two weeks of company-wide shutdown, and 12 company holidays
• Paid parental leave

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You will collaborate with IT and engineering teams to establish and track patching and remediation priorities, focusing on CMMC scoring impact. You will maintain ownership of all Plans of Action and Milestones (POA&Ms), validating remediation closure evidence, and ensuring alignment with DoD and CMMC requirements. You will also support continuous control monitoring activities for ongoing compliance between assessments.

As a Cyber Security Engineer, you will communicate compliance posture, risks, and remediation status to both technical and non-technical audiences, and support user and stakeholder education. You will also escalate unresolved compliance or remediation risks to cybersecurity and audit leadership as appropriate.

This is an exciting opportunity to join a driven and collaborative Cybersecurity team at Synopsys, working alongside experts in IT, Engineering, and Business Operations. You will report to the Executive Director of Cybersecurity and play a central role in audit readiness, evidence management, and cross-functional collaboration.

To be successful in this role, you will need:

• Security+ (SEC+) or equivalent industry-recognized cybersecurity certification
• 4+ years of experience performing Information Assurance, ISSO, ISSE, or equivalent cybersecurity assurance functions
• 2+ years supporting cybersecurity operations in a DoD or defense-adjacent enterprise environment
• Experience supporting NIST SP 800-171, RMF-aligned, or CMMC-related compliance activities
• Ability to obtain and maintain a U.S. DoD, FBI, or DHS security clearance
• Strong technical understanding of modern hardware, software, and enterprise infrastructure environments
• Familiarity with vulnerability management platforms, compliance evidence repositories, and security monitoring outputs
• Excellent organizational, prioritization, and time-management skills
• Strong analytical and problem-solving abilities with attention to detail
• Ability to work effectively across technical and non-technical teams to resolve complex compliance issues
• Strong written and verbal communication skills, including the ability to present information to leadership and stakeholder groups
• Demonstrated ability to manage multiple competing priorities in a high-assurance environment

If you are a collaborative team player who thrives in cross-functional environments, detail-oriented and diligent, proactive and resourceful, clear communicator who can translate technical concepts to non-technical audiences, analytical thinker with strong problem-solving skills, adaptable and resilient, and ethical and trustworthy, committed to maintaining high standards of integrity and confidentiality, then we encourage you to apply for this exciting opportunity.

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Key Responsibilities:

• Perform daily safeguarding calculations and reconciliations between customer liabilities and safeguarding accounts (wallets) / permitted safeguarding instruments.
• Ensure reconciliations are complete, accurate, and performed within defined timelines, with appropriate sign-offs.
• Identify breaks and anomalies, investigate root causes, coordinate fixes with Operations, Engineering, Finance, and banking partners, and document outcomes.
• Maintain a structured log of exceptions, root causes, and remediation actions.
• Maintain safeguarding policies, procedures, runbooks, and evidence packs; ensure processes are inspection-ready at all times.
• Support internal and external audits and respond to information requests related to safeguarding and reconciliations.
• Work with banking partners and custodians (as applicable) to ensure statement availability, cut-off alignment, and operational robustness.
• Support contingency procedures for operational disruptions affecting safeguarding processes.
• Drive automation and improvement initiatives to reduce manual effort and operational risk in reconciliation workflows.
• Develop operational KPIs and dashboards to monitor safeguarding performance and exceptions.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs.

Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.

We are a team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact.

Role Summary

As an early member of the US recruiting team, you will play a pivotal role in helping our build and scale various organizations from the ground up.

Responsibilities

• Partner with our tech & business hiring managers to find world-changing talent for Mistral

• You'll be charged with finding unique candidates who bring an entrepreneurial spirit, strong commitment and passion for success

• You will be responsible for guiding candidates through our hiring process and introducing them to the magic of working at Mistral

• An early joiner of Mistral, you will contribute to shaping the recruitment process and our TA machinery.

Your scope will be as follows:

Hire

• Obsessed by bringing top talents

• Successfully fulfill complex positions in multi-geography environment

• Identify, attract, and ensure high-touch candidate experience to continuously deliver high-quality candidates and meet hiring goals.

Improve processes and candidate experience

• Dive deep into data and root cause issues.

• Proactively identify and solve problems.

• Help improve our process, documentation, tooling and talent market intelligence.

• Contribute to continuous improvement and innovation in the efficiency and effectiveness of our systems, services, and processes.

About you

• 6+ years of experience in recruiting and at least 2 years of experience operating in a startup or growth stage company.

• A self-starter who is result-oriented, resourceful, innovative, intellectually curious, and who takes initiative and risks.

• You have an expertise with least two of these functions: Enterprise GTM roles; Corporate functions; Product Engineering/ Infrastructure or Science/Research Engineers

• Experience in complex recruiting and autonomous hiring in outbound contexts

• Experience working to recruit in highly competitive talent markets

• Strong written and verbal communication

• No ego and highly committed to deliver.

• Able and keen to jump from strategic topics to very hands-on work

• Open learning mindset and fast learner, demonstrated capacity to quickly grasp new complex topics

• Capability, credibility, and consultative skills to influence senior colleagues and stakeholders without authority.

• Organized, disciplined and strong at project management

• Comfortable working within the ambiguity of a small, growing startup with a strong desire to turn that ambiguity into a well-defined machine.

• Target driven, detail oriented and approachable with the ability to prioritize and work well in an environment with competing demands.

• Ideally, proficiency with Lever, LinkedIn Recruiter, and Modernloop

• Ideally, you have a track record of recruiting both in business & tech roles

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What we're all about.

Our DATA values—Determination, Ambition, Teamwork, Accountability—aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.

As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world's most strategic technology and consulting landscapes.

Make Every Decision Count with Context

The opportunity.

Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.

This role will include:

• Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem
• Technical leadership of partner architecture
• Management of Partner Solution Architects as Player Coach i.e. Lead by example
• Execution of joint solution engineering with hyperscalers, industry ISV’s & GSIs
• Executive engagement and business impact through ecosystem consumption & marketplace ARR

What you'll be doing.

• Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations.
• Lead co-innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks.
• Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions.
• Create enterprise-grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk.
• Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation
• Lead, mentor, and scale a global team of Partner Solution Architects focused on:

• Joint solution architecture
• Partner-led PoCs/PoVs
• Demo and sandbox platforms
• Deployment acceleration
• Technical certifications and readiness

• Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry.
• Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs.
• Establish performance-driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR.
• Partner with Field Alliances, Field Engineering and RVP’s to enable and ensure Ecosystem attribution
• Own hyperscaler and ISV technical partnership co-innovation roadmaps, ensuring:

• Marketplace-ready joint solutions
• Consumption and integration patterns tied to incentives
• Field delivery kits for PSA + partner sellers
• Hardened reference designs for repeatable pursuits

• Drive GSI partnerships into factory-style delivery motions, launching industry solutions and field-ready plays with global systems integrators.
• Govern multi-party architecture risk, security, deployment patterns, rapid time-to-value, and executive sponsor checkpoints.
• Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co-developed offerings and new pursuits
• Working closely with Product, define our ecosystem’s technical differentiation narrative—anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth—against point solutions and platform incumbents.
• Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally.

Requirements

What you'll bring.

• Proven executive leadership building partner engineering teams within enterprise software ecosystems
• Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures.
• Experience launching production-hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes.
• Ability to translate platform capability into partner-owned architectures that scale across customer estates.
• Practitioner’s mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs
• Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large-scale enterprise software or SaaS companies.
• Excellent experience of managing architect/engineering-focused partner teams, PSAs, and global technical enablement functions.
• Demonstrated success driving multi-cloud partner consumption ARR, joint solution launches, and co-sell acceleration.
• Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders.
• Comfort operating across legal, sales, product, security, presales, and partner delivery functions.
• Willingness to travel globally (>40%).

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

Competitive salary Company bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team's Social Budget & Company-wide Summer & Winter Parties Tech & Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

15231

Remote Eligible

No

Date Posted

02/15/2026

We Are:

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

You Are:

• An experienced and passionate Analog and Mixed-Signal (A&MS) Senior Circuit Design Expert with a strong background in PLL , data converters and SERDES design.

• You have a deep understanding of mixed-signal techniques for dynamic and static power reduction, performance enhancement, and area reduction.

• Your expertise includes circuit architectures simulation, circuit layout, and knowledge of bipolar, CMOS, passive network and interconnect parasitic impact in advanced finfet technology nodes.

• You excel in developing Analog Full custom circuit macros, such as PLLs, Clock Path Functions, clocking solutions, TX/RX datapaths, and power management and regulation for High Speed PHY IP, in both planar and fin-fet CMOS technology.

• You thrive in collaborative environments, working closely with silicon test and debug experts to advance quality through Sim2Sil correlation.

• You are also passionate about building and nurturing key analog design talent to grow business impact through successful project execution.

What You’ll Be Doing:

• Leading NRZ/PAM4 Serdes analog design transceiver solutions.

• Developing Analog Full custom circuit macros for High Speed PHY IP in advanced technology nodes.

• Collaborating with silicon test and debug experts for Sim2Sil correlation.

• Analyzing various mixed signal techniques for power reduction, performance enhancement, and area reduction.

The Impact You Will Have:

• Driving innovation in mixed-signal advanced analog serdes design.

• Enhancing the performance and efficiency of high-speed physical interfaces.

• Contributing to the development of cutting-edge technology in High Speed PHY IP.

• Improving quality and robustness of design through collaboration and Sim2Sil correlation.

What You’ll Need:

• BE 15+ years of relevant experience or MTech 12+ years of relevant experience in mixed signal analog, clock, and datapath circuit design.

• Experience in designing Charge-pump-based PLLs, Fractional-N PLLs, Digital PLLs, XTAL oscillators, and LO generation circuits.

• Knowledge in Equalizers , CDR architectures , high-speed digital circuit design , timing/phase noise analysis, signal integrity .

• Knowledge of RF architecture and blocks such as transceivers front-end , VCOs, LNA, and up/down converters

Who You Are:

• Strong fundamentals of CMOS, device physics, and sub-micron design methodologies.

• Experience with PLL designs and high-speed digital circuit design.

• Knowledge of control systems, band gaps, bias, op-amps, LDOs, and feedback techniques.

• Familiarity with digitally assisted analog circuit techniques.

• Capable to drive technical decision and tradeoff with customer focus

The Team You’ll Be A Part Of:

Join our High-Performance Computing (HPC) Enterprise analog/mixed-signal Serdes team involved in cutting-edge High Speed PHYSICAL Interface Development.

You will work with experienced teams locally and with colleagues from various sites across the globe, fostering a collaborative and innovative environment.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

Get an idea of what your daily routine around the office can be like

\ Explore Noida

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This role will be responsible for building out the Product Marketing practice at Constructor - owning Constructor’s product positioning, messaging architecture, launch strategy, and competitive intelligence.

Reporting to the Chief Marketing Officer, you’ll partner closely with sales, product, customer success, growth marketing, and executive leadership to help ecommerce retailers understand the advantages to using Constructor.

Constructor is an incredibly powerful and broad platform with a high velocity of feature and product releases designed for different types of users across ecommerce.

We're looking for someone who can bring clarity and precision to that complexity: someone who can define and articulate what makes each product or capability truly differentiated, and help ensure customers and prospects alike understand the full value of each element.

This position is equal parts strategist and builder - setting direction, developing people, and rolling up your sleeves to build the many artifacts that form a robust product marketing org.

You will work closely with our product leaders to launch new products, add-ons and features, with our content marketing team to create thought leadership, with growth marketing to drive pipeline and product content and with sales to ensure the GTM functions are enabled on key launches and competitors.

Any feature or product launch, with the product team, will include a bill of materials focused on value proposition, personas, objection handling, competition and more.

Responsibilities

Product Positioning and messaging

• Define and evolve clear, differentiated positioning across our platform, products, and key features

• Translate complex product capabilities into customer-facing language that emphasizes outcomes and value

• Build and maintain messaging frameworks that scale across marketing, sales, and customer teams

• Create educational content in the form of thought leadership content, blog posts, tutorials, videos etc. that support initiatives

• Collaborate with the content and growth marketing team on customer story and case study creation

• Equip Sales with the narratives, tools, and content to win

Go-to-market leadership

• Lead and orchestrate product launches from strategy through execution that are crisp, focused, and actually land with customers

• Partner with Product on roadmap communication and prioritization

• Identify gaps in capabilities and proactively build the function to address them

Customer & market insight

• Be the voice of the customer and the market internally

• Drive deep understanding of buyer personas, ICP, industry knowledge, use cases, and buying triggers

• Own competitive intelligence and positioning

Team leadership

• Build, mentor, and lead a high-performing product marketing team

• Partner closely with Product, Demand, and Sales leaders

• Leverage AI and modern tools to gain insights, streamline processes, and improve efficiency

Requirements

• 10+ years in B2B SaaS marketing, with significant product marketing leadership experience

• Background in ecommerce and/or retail tech is a plus

• Experience at high-growth startups where agility, resourcefulness, and a strong sense of ownership are vital

• Proven success owning positioning, messaging, and GTM for complex, technical products

• Experience managing and scaling PMM teams

Skills

• Exceptional storyteller — written, verbal, and visual - who brings creativity to every element

• Deep comfort with technical or complex products and familiarity with AI/ML fundamentals

• Strong cross-functional leader who can influence without authority

• Analytical mindset with the ability to support strategic decisions with market research and performance data; skilled in ROI analysis and experimentation.

• Excellent project management and attention to detail, able to manage complex initiatives from concept to execution.

• A growth mindset with creativity, ambition, and a proactive approach to problem-solving and innovation.

Mindset

• Customer-obsessed and market-driven

• Strategic thinker who still enjoys being hands-on

• Comfortable with ambiguity and rapid change

• Creative mind who brings fresh perspectives

• High standards, low ego

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year

• A competitive compensation package including stock options

• Fully remote team - choose where you live

• Work from home stipend! We want you to have the resources you need to set up your home office

• Apple laptops provided for new employees

• Training and development budget for every employee, refreshed each year

• Maternity & Paternity leave for qualified employees

• Work with smart people who will help you grow and make a meaningful impact

• Diversity, Equity, and Inclusion at Constructor

At Constructor we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

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Responsibilities:

• Develop Infrastructure-as-Code using Terraform, CDK, or Pulumi
• Develop CI/CD pipelines for Cloud Deployments
• Develop custom automation using Lambda Functions or Azure functions
• Manage code repositories and perform peer code reviews
• Maintain code hygiene and write test cases for solutions
• Mentor and train junior engineers in your pod
• Work side-by-side with customers to design, diagram, and document complex integrations
• Establish partnerships and strategic relationships with contacts at our biggest brands
• Analyse and audit existing Helpshift implementations to make improvements
• Become an expert at using Helpshift's administrative tools
• Work collaboratively with Account Managers, Customer Success Managers, and Sales teams
• Continually optimise the overall development process

Requirements:

• 3 years of SaaS experience in a specialization such as consulting services, technical pre-sales, or solution engineering
• Proven experience translating ambiguous customer requirements into actionable technical solutions
• Proficiency with Python, Go, C#, Node.js, or Powershell
• Proficiency with deploying cloud solutions on AWS or Azure
• Familiarity with technical SaaS concepts such as SDKs, APIs, and cloud computing
• Exceptional organisational skills and a project management mindset
• Understanding of Object-Oriented Programming concepts
• Excellent communication skills and ability to lead meetings with customer executives and analysts
• Proficiency in G-Suite and ability to perform data analysis tasks
• Curiosity about complex systems and natural problem-solving skills

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in Pune

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Responsibilities:

• Understand no code automation concepts and CI/CD pipelines for Cloud Deployments
• Develop no code automation / Logic Apps (Lambda Functions/ Azure functions)
• Understand programming languages such as Python, JavaScript, bash, powershell, C#
• Managing code repositories and performing peer code reviews
• Ability to maintain the code hygiene and writing test cases for the solutions
• Assist with proof of concepts for strategic and enterprise customers
• Work side-by-side with our technical account managers to design, build, and deploy complex integrations for our customers
• Establish partnerships and strategic relationships with contacts at our biggest brands
• Time management is critical and should be able to manage multiple tasks/projects simultaneously
• Analyze and audit existing Helpshift implementations for the purpose of making improvements
• Become an expert at using Helpshift’s administrative tools which include a suite of AI products, bots, and other mission-critical support functions
• Work collaboratively with Account Managers, Technical Account Managers, Customer Success Managers, and Sales to ensure customers’ overall success with the product
• Collaborate with project managers to ensure sprint planning is completed on time and project deliverables are trackable in JIRA
• Continually optimize the overall implementation processes with improvements to documentation, trainings, demos and other customer-facing content

Requirements:

• You have a minimum of 4 years of SaaS experience in a specialization such as consulting services, technical pre-sales or technical project management
• You are proficient with any of: Python, Go, C#, Node.js, Powershell
• You are proficient with deploying cloud solutions on AWS or Azure (preferred)
• You are familiar with technical SaaS concepts such as SDKs, APIs and cloud computing
• You are exceptionally organized and a project manager at heart
• You value performing tasks as efficiently as possible and you dislike seeing mistakes repeated
• You have excellent communication skills and are comfortable leading meetings with customer executives and analysts alike
• You are proficient in the entire G-Suite and can perform data analysis tasks including generating pivot tables and writing complex formulas in Sheets/Excel
• You are curious about complex systems and a natural problem solver
• Bonus points for previous experience in a support role or call centre Benefits:
• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in Pune Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status

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

About the role

Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organisation. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.

As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities

• Design, build, and operate distributed backend systems that power secure sandboxed execution environments
• Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
• Implement and maintain serverless architectures and container orchestration systems
• Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
• Develop monitoring, alerting, and observability systems to ensure operational excellence
• Participate in on-call rotations and incident response to maintain system reliability
• Contribute to infrastructure automation and tooling that improves developer productivity
• Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees

You may be a good fit if you

• Have 5+ years of experience building and operating backend infrastructure at scale
• Have deep expertise in distributed systems design and implementation
• Have strong operational experience, including debugging complex production issues
• Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
• Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
• Are comfortable working with infrastructure as code and modern DevOps practices
• Have strong programming skills in languages such as Python, Go, or Rust
• Are results-oriented with a bias towards flexibility and impact
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have experience with

• Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
• Designing and implementing secure multi-tenant systems
• High-performance computing environments or ML infrastructure
• Linux systems internals, including namespaces, cgroups, and seccomp
• Network security and isolation techniques
• Building systems that support research workflows and rapid iteration

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

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

Your safety matters to us.

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

How we're different

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

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Researcher, Pretraining Safety

Location

San Francisco

Employment Type

Full time

Department

Safety Systems

Compensation

• $295K – $445K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

The Pretraining Safety team’s goal is to build safer, more capable base models and enable earlier, more reliable safety evaluation during training. We aim to:

1. Develop upstream safety evaluations that to monitor how and when unsafe behaviors and goals emerge;

1. Create safer priors through targeted pretraining and mid-training interventions that make downstream alignment more effective and efficient

1. Design safe-by-design architectures that allow for more controllability of model capabilities

In addition, we will conduct the foundational research necessary for understanding how behaviors emerge, generalize, and can be reliably measured throughout training.

About the Role

The Pretraining Safety team is pioneering how safety is built into models before they reach post-training and deployment. In this role, you will work throughout the full stack of model development with a focus on pre-training:

• Identify safety-relevant behaviors as they first emerge in base models

• Evaluate and reduce risk without waiting for full-scale training runs

• Design architectures and training setups that make safer behavior the default

• Strengthen models by incorporating richer, earlier safety signals

We collaborate across OpenAI’s safety ecosystem—from Safety Systems to Training—to ensure that safety foundations are robust, scalable, and grounded in real-world risks.

In this role, you will:

• Develop new techniques to predict, measure, and evaluate unsafe behavior in early-stage models

• Design data curation strategies that improve pretraining priors and reduce downstream risk

• Explore safe-by-design architectures and training configurations that improve controllability

• Introduce novel safety-oriented loss functions, metrics, and evals into the pretraining stack

• Work closely with cross-functional safety teams to unify pre- and post-training risk reduction

You might thrive in this role if you:

• Have experience developing or scaling pretraining architectures (LLMs, diffusion models, multimodal models, etc.)

• Are comfortable working with training infrastructure, data pipelines, and evaluation frameworks (e.g., Python, PyTorch/JAX, Apache Beam)

• Enjoy hands-on research — designing, implementing, and iterating on experiments

• Enjoy collaborating with diverse technical and cross-functional partners (e.g., policy, legal, training)

• Are data-driven with strong statistical reasoning and rigor in experimental design

• Value building clean, scalable research workflows and streamlining processes for yourself and others

About OpenAI

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

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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $185K – $205K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Procurement organization enables our mission by ensuring every dollar is spent responsibly, compliantly, and efficiently. As a key part of this function, the Procurement HelpDesk connects thousands of incoming requests to the right process, stakeholder, or system—delivering a fast, consistent, and compliant experience across Source-to-Contract (S2C), Procure-to-Pay (P2P), Employee Workflows (EWF), and Travel & Expense (T&E). This team is essential to OpenAI’s ability to scale without compromising on compliance or service quality.

About the Role

We’re looking for a Senior Manager, Procurement HelpDesk to lead the intake and resolution engine for the Procurement function. You’ll own the full lifecycle of request management—from triage logic and intake routing to SLA adherence, stakeholder escalations, and system optimization.

This is a high-impact, execution-focused role that combines operational rigor with program design. You’ll manage centralized intake workflows, resolve or route inbound issues, enforce response SLAs, and maintain intake-to-resolution metrics. You’ll also partner cross-functionally (Legal, Tax, StratFin, Accounting, Security) to ensure escalations are handled quickly and compliantly—and collaborate with engineering to prepare systems for AI-driven support.

What we’re looking for:

A systems-oriented operator who can run a high-volume intake engine with precision, clarity, and speed — while continuously improving how requests flow across the organization.

You likely bring:

• Experience leading centralized intake or HelpDesk functions You’ve owned triage logic, routing rules, SLAs, queue health, and escalation frameworks in a complex, cross-functional environment. You understand how to build a front door that scales.

• Strong operational judgment under pressure You can quickly distinguish low-risk issues from compliance-sensitive or high-impact matters and route them appropriately. You’re calm in high-volume environments and decisive when urgency matters.

• Deep understanding of the procurement lifecycle You understand how S2C, P2P, T&E, and employee workflows connect — and where risk triggers, approval thresholds, and compliance breakpoints typically live.

• Metrics-driven program management You track intake-to-resolution cycle times, SLA adherence, backlog trends, and escalation volume — and use data to improve throughput and reduce friction.

• Process design and workflow optimization skills You know how to design clean intake forms, minimize handoffs, eliminate ambiguity in routing logic, and reduce rework at the source.

• Cross-functional influence You partner effectively with Legal, Accounting, Tax, Security, StratFin, and Engineering to resolve issues quickly and improve upstream clarity.

• Systems fluency Experience with tools like Zip, Jira, Oracle, Navan, or similar intake and approval systems. You understand structured data capture and are comfortable preparing workflows for AI-driven triage.

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

In this role, you will:

• Own end-to-end issue resolution across Procurement, spanning S2C, P2P, EWF, and T&E domains.

• Manage and optimize the centralized intake system—ensuring clean data capture, clear routing logic, and minimal handoffs.

• Review requests for completeness and urgency; directly resolve low-risk issues and escalate high-risk or complex matters to the appropriate partner.

• Enforce and improve SLAs and cycle time metrics, with regular reporting to stakeholders and leadership.

• Partner with internal stakeholders and suppliers to proactively identify pain points and close feedback loops.

• Continuously refine backend triage rules, intake forms, and system optimization strategies to improve efficiency and effectiveness.

• Collaborate with engineering to prepare systems for AI-driven support and ensure seamless integration with existing tools and processes.

• Develop and maintain relationships with key stakeholders, including Legal, Tax, StratFin, Accounting, Security, and Engineering.

• Provide guidance and support to team members to ensure they have the necessary skills and knowledge to perform their roles effectively.

• Stay up-to-date with industry trends and best practices in procurement and help desk management.

• Participate in process improvement initiatives and contribute to the development of new processes and procedures.

• Collaborate with other teams to identify and implement opportunities for cost savings and process improvements.

• Develop and maintain metrics and reporting to track key performance indicators (KPIs) and provide insights to stakeholders.

• Ensure compliance with all relevant laws, regulations, and company policies.

• Perform other duties as assigned.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways—especially for youth and families.

We work across OpenAI’s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility.

This work is core to OpenAI’s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth.

About the Role

We’re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You’ll help define how teens and guardians engage with OpenAI products—ensuring those experiences are safe, compliant, and empowering.

You’ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You’ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts.

This is a high-impact, 0→1 opportunity to set the standard for how families interact with generative AI.

In this role, you will:

• Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT.

• Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs.

• Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale.

• Help define safety and well-being metrics, and continuously improve user trust through technical interventions.

You might thrive in this role if you:

• Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology.

• Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale.

• Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities.

Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions.

• Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical.

About OpenAI

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

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This role will involve the entire royalty payment process from the onboarding of developers/publishers, ongoing support, reconciling monthly earnings, loading and reconciling payments in the bank as well as working with game teams / developers / business colleagues on projects and initiatives to support the full process.

Responsibilities

• Manage the full outbound royalty payments cycle from the onboarding of partners to payment of royalties.
• Reconcile and load royalty payments into the bank for partners and contributors on Steam
• Completion of various monthly reconciliations and resolve reconciling items
• Perform necessary checks before payments are released – reconciliations, OFAC checks, etc.
• Track failed payments and process on accounts as appropriate
• Produce monthly status reporting for the Steam Business team
• Support the business team in a financial capacity when they are working with publishers / developers
• Annual 1099 and 1042 reporting – generation of files and review of forms from tax vendor
• Support of new and existing partners for issues with banking, tax and KYC related procedures
• Reconciliations of accounts related to the outgoing royalty payments process
• Address ad hoc needs as they arise
• Continue to streamline processes to increase efficiency and effectiveness
• Assist in department planning, as needed / tasks evolve
• Cross-train with other team members

Requirements

• Degree in Accounting
• Public accounting experience preferred
• CPA preferred
• 7+ years of experience in accounting/finance functions
• Intermediate skills in Excel, accounting software and online banking systems
• High level of attention to detail and accuracy
• Ability to identify issues, research and escalate when necessary
• Ability to see “forest” in addition to the “trees”
• Flexibility, passion and drive in making functions/processes better
• Curiosity and willingness to take on new tasks/projects
• Self-starter, ability to work independently (ability to manage own time and tasks without oversight) and be collaborative in working with others (focus on succeeding as a team / company, not an individual)
• Strong communication and problem solving skills

Salary Range

$150K - $200K, depending on experience

What We Offer

• An organization where 100% of time is dedicated as groups see fit
• The opportunity to collaborate with experts across a range of disciplines
• A work environment and flexible schedule in support of families and domestic partnerships
• A culture eager to become stronger through diversity of all forms
• Exceptional health insurance coverage
• Unrivaled employer match for our 401(k) retirement plan
• Generous vacation and family leave
• On-site amenities in support of health and efficiency
• Fertility and adoption assistance
• Reimbursement for child care during interviews

Diversity and Inclusion

Valve strives to improve the diversity of our teams to better serve our diverse global audience. We welcome and encourage individuals from all backgrounds to apply. Candidates will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, family status, veteran status or disability status. Valve is committed to creating an inclusive work environment and does not tolerate discrimination or harassment in the workplace.

How to Apply

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

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What you'll do

• Perform scheduled and unscheduled repairs/troubleshooting to mechanical and some electrical equipment.
• Performing preventative/predictive maintenance and lubricator tasks.
• Assist with various maintenance projects.
• Participate in general housekeeping and maintenance organization.

What you need

• High school education or equivalent; Vocational School or Certification desired.
• 5+ years‘ industrial mechanical maintenance experience.
• Be able to read and complete basic mathematical functions.

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We are looking for an ERP Solution Architect to join the team to lead in overseeing the deployment, configuration, customisation, and ongoing maintenance of new capabilities within the ERP Finance and Operations ecosystem at Atlassian Williams Racing.

The ERP Solution Architect will achieve this by utilising their significant understanding of Microsoft Dynamics 365 F&SCM, particularly Operations/Supply Chain and some level of downstream integration to systems such as MES. Experience around D365 Finance is also preferable.

Working within our Enterprise Systems team, you will be responsible for aligning the organisation’s processes, transformation, and requirements with the capabilities of the ERP software; collaborating closely with stakeholders and project teams; and designing and implementing capabilities and architecture that meets the business's specific needs.

Main responsibilities will include:

• Business Understanding & Alignment
• Technical Leadership
• Solution Design
• Solution Implementation
• Solution Administration

What you need

Previous, proven experience in a similar role.

Previous, proven experience in D365 F&SCM with a preference to Operations/Supply Chain capabilities.

Strong experience in Supply Chain management functions including planning, manufacturing, warehousing and logistics.

Proficiency in Financial processes including procure to pay, record to report and inventory cost control.

Experience with integrations into and out from D365.

Understanding of a design-driven discrete manufacturing operation and how ERP interacts with PLM.

Hands on experience with MES and its integration with ERP.

Experience with Power Platform and Dual Write connections to D365 F&SCM.

Collaborative and curious approach to technical problem-solving.

Excellent communication skills with the ability to convey concept technical concepts to non-technical stakeholders.

Ability to work with a wide range of groups and disciplines seamlessly.

Ability to adapt to rapidly evolving requirements.

Why this matters

This role keeps a world-championship-winning F1 team running. When equipment fails, races can be lost, so your work directly impacts performance. You'll develop deep expertise in high-spec facilities and have clear progression into senior facilities management roles. The F1 environment means you'll work with cutting-edge building systems and learn from the best in the industry.

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