Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support.

Product Engineers in the AI Group will:

• Build the systems that power Intercom's flagship AI products.
• Work alongside our ML Scientists to bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

We're looking for experienced product engineers who take an analytical approach to development and have some hands-on experience with ML systems. A deep knowledge of a high-level programming language and strong technical fundamentals are essential.

Bonus skills and attributes include previous experience in data analytics or statistical roles.

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Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focussed team. We work in partnership with Product and Design functions of teams we support.

Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.

We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you!

Product Engineers in the AI Group will:

• Build the systems that power Intercom's flagship AI products.
• Work alongside our ML Scientists to bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

These are meant to be indicative, not hard requirements:

• 5+ years of experience shipping high-quality products.
• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!
• Strong willingness to fight for good outcomes - Bias towards progress over perfection - BSc in Computer Science, Maths or Statistics or related discipline

Bonus skills & attributes:

• Previous experience in data analytics, or statistical role

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Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support.

Product Engineers in the AI Group will:

• Build the systems that power Intercom's flagship AI products.
• Work alongside our ML Scientists to bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

We're looking for experienced product engineers who take an analytical approach to development and have some hands-on experience with ML systems.

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Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support.

As a Product Engineer in the AI Group, you will:

• Build the systems that power Intercom's flagship AI products.
• Work alongside our ML Scientists to bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

We're looking for experienced product engineers who take an analytical approach to development and have some hands-on experience with ML systems. You should have:

• 10+ years of experience shipping high-quality products.
• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn't need to be a language that we use here!
• Strong willingness to fight for good outcomes - Bias towards progress over perfection - BSc in Computer Science, Maths or Statistics or related discipline

Bonus skills & attributes:

• Previous experience in data analytics, or statistical role

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Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support.

Product Engineers in the AI Group:

• Build the systems that power Intercom's flagship AI products.
• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

We are looking for experienced product engineers who take an analytical approach to development and have some hands-on experience with ML systems.

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The wider AI group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. AI infrastructure is building a platform to move extremely quickly, adapting to new AI advancements in a matter of days, but providing the safety shield to other engineers so our customers always get a good service.

We often provide services at the core of AI systems, and write framework-level code that other engineers and scientists in the AI group use daily. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.

We test and measure the real customer impact of each model and change we deploy. If you are an experienced backend engineer who takes an analytical approach to development and has some hands-on experience with ML systems and platforms, we'd love to hear from you!

Key Responsibilities

• Build the systems that power Intercom's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.
• Work alongside our ML engineers and ML Scientists to bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with ML engineers and ML scientists to build the underlying platform that helps them shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Requirements

• 5+ years of experience shipping high-quality products, preferably backend.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Python, Ruby etc.)
• Strong willingness to fight for good outcomes
• Ability to deep dive into any part of the tech stack.
• Bias towards progress over perfection.
• Excited about progress in the AI space.

Bonus Skills & Attributes

• 1+ year of experience building ML-powered products. You’ll be supported by, and learn from teammates with deep ML experience.
• Built or used ML platforms before.
• Deep understanding of some distributed systems (e.g. database, caches, queues, streams).
• Statistics fundamentals.

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Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support.

Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.

Product Engineers in the AI Group will:

• Build the systems that power Intercom's flagship AI products.
• Work alongside our ML Scientists to bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

We're looking for experienced product engineers who take an analytical approach to development and have some hands-on experience with ML systems. If you are an experienced product engineer who is passionate about applying machine learning technology, we'd love to hear from you!

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This role offers excellent opportunities for personal growth in a rapidly growing unit. Your focus will be on achieving excellent customer results through thought leadership, strategic advice, and your ability to drive value creation in IT and business areas and implement technology-driven change.

In addition to project work, you will be recognised for your contribution to thought leadership and the development of our advisory services. You are entrepreneurial, enthusiastic about operational excellence, analytical, sovereign, and team-oriented.

As a Technology Transformation Manager at Infosys Consulting Germany, you will support our customers in mastering complex changes by designing and implementing modern, forward-looking technology transformations.

You are part of the Technology Transformation Practice - and specifically the Execution & Value Realization Team - and combine strategic thinking with practical implementation competence to generate measurable results in large enterprise programs.

You will work in an international, highly cooperative environment with significant technical complexity. From vision to implementation, you will accompany customers through the entire transformation journey and ensure that genuine business value is achieved.

This role is ideal for consultants who are successful in dynamic environments and want to shape organisations in the digital age.

Key competences and responsibilities:

• Steering and coordinating extensive IT transformation programs in complex, international structures
• Ensuring operational excellence within the Execution & Value Realization Team with clearly measurable results
• Technical leadership in one or more areas: Cloud & Infrastructure, Cyber Security & Resilience, Digital Operations, ITSM, SIAM, ServiceNow, Data & Analytics
• Developing and implementing IT operating models, governance structures, and cross-functional delivery frameworks
• Identifying automation and optimisation potential and transferring it into robust IT business cases with clear ROI
• Thought leadership along the entire strategy-to-delivery process, including stakeholder management and roadmap development
• Evaluating value potential, cost drivers, and performance indicators; developing KPIs, value frameworks, and benefit-realisation plans
• Collaborating with offshore and nearshore teams to ensure efficiency, high delivery quality, and clean knowledge transfer
• Close cooperation with platform teams (ServiceNow, Adobe, Salesforce, SAP) to realise end-to-end-oriented change programmes
• Building a trusted advisory relationship with leading customer representatives throughout the transformation

Required qualifications:

• At least 7 years of experience in IT consulting with proven success in technology transformation projects
• In-depth understanding of enterprise technology landscapes and architecture models
• Practical experience with Agile and/or Scaled-Agile methods
• Experience in developing IT operating models and governance structures
• Strong analytical skills for evaluating automation and optimisation potential and creating robust business cases
• Knowledge of integrating KI scenarios for optimising business and IT processes (using ML, GenAI, and LLMs)
• Experience with distributed delivery models (onsite, offshore, nearshore)
• Strong leadership and communication skills
• Very good German and English language skills in writing and speaking
• Bachelor's degree in Computer Science, Business Informatics, Engineering, Business Administration, or a related field

Preferred qualifications:

• Experience with central enterprise platforms such as ServiceNow, Adobe Experience Cloud, Salesforce, or SAP from a transformation or integration perspective
• Experience in merger acquisition or carve-out scenarios
• Knowledge of developing value-realisation frameworks, cost models, or medium- to long-term technology investment strategies
• Certifications in Agile, SAFe, ITIL, or cloud/security technologies
• Experience in defining and steering KPIs and SLAs
• Project experience in advising senior executives and C-level decision-makers
• Experience in designing and steering large-scale, multi-year transformation programmes
• Background in hybrid delivery models (onsite/offshore/nearshore)

About your team:

In the Technology Transformation Practice, you will work in an integrated competence network consisting of seven capability areas - from Enterprise Strategy & Architecture to Execution & Value Realisation.

This framework ensures that platforms, data, cloud, and security function as a seamless system, making even complex digital transformations reliably realisable.

You will work closely with specialists from areas such as Cyber & Resilience, Cloud & Infrastructure, or Data & Analytics to create powerful technological foundations that generate sustainable business value.

Whether through modernising legacy landscapes in Digital Operations or standardising processes over ServiceNow, you will make a significant contribution to speed, stability, and measurable success for our customers.

About Infosys Consulting:

Join a globally renowned management consulting firm that is at the forefront of industry disruption. We are a mid-sized player with a supportive, entrepreneurial spirit that works with a market-leading brand in every sector, while our parent organisation Infosys is a top-5 powerhouse IT brand that is outperforming the market and experiencing rapid growth.

Our consulting business is annually recognised as one of the top consultancies in the world by reputable publications such as Financial Times, Forbes, and Management Consulting Magazine.

We offer attractive remuneration, excellent training opportunities, and clear career paths.

If you're interested in learning more, we look forward to receiving your application!

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You will bring expertise in the area of AI, ML, and engineering. You will also lead efforts related to life cycle management, progression, in-game economies, and player experience, specifically, within the Battlefield franchise.

Key responsibilities include:

• Working directly with Battlefield game team/partners to understand their offerings/domain and create data science products and solutions to solve for their use cases.

• Applying problem-driven, AI/ML approaches to improve player experience, engagement, retention, and monetization systems.

• Developing plans to generalize products across the franchise with our engineering partners.

• Establishing rigorous experimental design standards (A/B testing, causal inference, system experimentation) to produce actionable insights.

• Collaborating with engineering partners to productionize models within live environments and gameplay systems.

• Designing and enhancing data pipelines that process petabyte-scale telemetry data using technologies such as AWS, S3, Kubernetes, GCP, Python, Apache Kafka, and Hive.

• Developing algorithms and statistical models for forecasting, player state prediction, churn analysis, progression balancing, and economic system tuning.

• Communicating complex analytical concepts to technical and non-technical partners, influencing strategic decisions.

• Mentoring other data scientists and contributing to shared best practices across the D&I organization.

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The Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows , searching, analysing, and creating across the tools and documents knowledge workers use every day.

As that work scales, the systems behind it need to be as rigorous as the research itself. We are looking for a Research Engineer to own the reliability, observability, and infrastructure foundation that the team's research depends on.

You will be responsible for ensuring our training and evaluation runs remain stable, well-instrumented, and high-quality as they grow in scale and complexity. A core part of this role is shifting reliability work from reactive to proactive: hardening systems, stress-testing at realistic scale, and building the observability and tooling that surface problems early , so researchers can stay focused on research rather than incident response.

You will be the team's stable, context-rich owner for environment health and evaluation integrity, and the primary point of contact for partner teams when issues arise.

While you'll work closely with researchers building new training environments, the priority for this role is the reliability those environments depend on. It's best suited to an engineer who finds real ownership and impact in making critical systems dependable, and in being the person behind trustworthy evaluation results the entire organisation relies on.

Key Responsibilities:

• Serve as the dedicated reliability owner for the Knowledge Work training environments, providing continuity of context and reducing the operational overhead of rotating ownership
• Own a clean, canonical set of evaluation tools and processes for Knowledge Work capabilities, including the process used for model releases
• Build and automate observability, dashboards, and operational tooling for our training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation
• Proactively harden environments and evaluation systems through load testing, fault injection, and stress testing at realistic scale, so failures surface early rather than during critical training work
• Act as the primary point of contact for partner training and infrastructure teams when issues in our environments arise, and drive incidents to resolution
• Reduce the operational burden on researchers so they can stay focused on research

Minimum Qualifications:

• Highly experienced Python engineer who ships reliable, well-instrumented code that teammates trust in production
• Demonstrated experience operating ML or distributed systems at scale, including significant on-call and incident-response experience
• Strong SRE or production-engineering mindset , reaching for SLOs, load tests, and failure injection before reaching for more dashboards
• Foundational ML knowledge sufficient to understand what a training environment or evaluation is actually measuring, and recognise when an evaluation has become stale or gameable
• Able to read research code and reason evaluation integrity

Preferred Qualifications:

• 5+ years of experience operating ML or distributed systems at scale
• Experience building or operating RL environments, agent harnesses, or LLM evaluation frameworks
• Familiarity with reward modelling, evaluation design, or detecting and mitigating reward hacking
• Experience with observability stacks (metrics, tracing, structured logging) and operational dashboard tooling
• Background in chaos engineering, fault injection, or large-scale load testing
• Experience with data quality pipelines, drift detection, or evaluation-set curation and versioning
• Familiarity with large-scale training or inference infrastructure (schedulers, multi-agent orchestration, sandboxed execution)
• Prior experience as a dedicated reliability or operations owner embedded within a research team

Logistics

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

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, including a comprehensive health insurance package, 401(k) matching, and generous paid time off.

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In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to keep our sites on budget, drive operating costs down, and de-risk our largest infrastructure exposures. You will own the near-term forecast for datacenter spend, run budget-vs-actual on projects, and serve as the primary finance counterpart to our datacenter operating partners.

Key responsibilities:

Datacenter Financial Planning & Analysis

• Own FP&A for all live-site datacenter operating costs including lease/rent, power, hardware ops, facility/DC ops, physical security, warehousing, and operator fees

• Build and maintain per-site cost forecasts; refresh on a cadence that supports monthly reviews and board reporting

• Run budget-vs-actual on datacenter developer spend and site build budgets, tracking expected eventual spend against approved commitments

• Own the in-year power cost model across pass-through and direct costs

• Reconcile operating partner invoices to forecast and lead the finance operating cadence with datacenter partners

• Partner with Accounting on contract operationalization, lease accounting, and close

Strategic Projects

• Lead financial analysis for site-level optimization initiatives and operating model decisions

• Handle operational finance asks tied to datacenter partners and live sites

• Partner with the Datacenter Expansion lead on deal-to-operations handoffs, ensuring budgets set at signing are operationalized at commissioning

Minimum qualifications

• Experience in strategic finance, infrastructure investment, FP&A, private equity, consulting, or investment banking, preferably with datacenter, energy, real estate, telco, or managed-services infrastructure experience

• Owned an infrastructure operating P&L and driven cost-out programs against it

• Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models

• Comfort being the finance person in the partner/vendor room and partnering with technical operating teams

• Bias towards action, strong work ethic, and experience driving operational outcomes under tight timelines

• Strong relationship building, business judgment, process management, and communication skills

• Passion for Anthropic's mission to build safe, transformative AI systems

Preferred qualifications

• 7+ years of experience in strategic finance, infrastructure investment, FP&A, private equity, consulting, or investment banking

• Direct experience with datacenter, colocation, or power (PPA / energy procurement) economics and contract structures

• Experience managing finance cadence with a third-party operator or managed-services provider

• Background in AI, ML, or high-performance, large-scale computing infrastructure

• Proficiency with financial modeling tools and languages (SQL, Python, Excel)

• MBA or other advanced degree in finance, economics, or business

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:$190,000-$235,000 USD

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This is a player-coach role: you will contribute directly to system design and implementation while leading a small team. You will focus on applying agentic systems to infrastructure workflows such as deployment orchestration, system bring-up, issue triage, debugging, and capacity management.

This role is not focused on building general-purpose agent platforms. Instead, it is centered on applying agentic systems to solve concrete infrastructure problems, working closely with hardware, networking, and cluster teams.

Key Responsibilities

• Design and build agent-based systems to support infrastructure deployment and operations

• Identify high-impact opportunities to apply agents across workflows such as:

• cluster bring-up and deployment readiness

• incident triage and root cause analysis

• system validation and health monitoring

• capacity management and operational decision-making

• Lead a small team while contributing directly as an IC across system design, development, and integration

• Partner with infrastructure, hardware, and networking teams to integrate agentic systems into production workflows

• Develop systems that leverage telemetry, logs, and system signals to enable closed-loop automation

• Define evaluation frameworks to measure system effectiveness, reliability, and operational impact

• Drive iteration from prototype to production, ensuring robustness and scalability

Qualifications

• Strong software engineering background in distributed systems, infrastructure, or platform engineering

• Experience building production automation systems or data-driven operational tooling

• Experience applying AI, ML, or agent-based approaches to real-world systems or workflows

• Ability to operate as a hands-on IC while leading a small team

• Experience working cross-functionally with infrastructure, hardware, or systems teams

• Strong problem-solving skills in complex, ambiguous environments

Preferred Skills

• Experience with LLM-based systems, agents, or autonomous workflows

• Background in infrastructure operations, SRE, or large-scale system deployment

• Experience working on cluster bring-up, debugging, or data center infrastructure systems

• Familiarity with telemetry, monitoring systems, and observability pipelines

• Experience building internal tools or platforms for engineering productivity and operations

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• Zone A$251K – $335K • 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.

About the Team

The AI Deployment Engineering team works at the intersection of cutting-edge AI research and real-world application. We partner directly with OpenAI’s most strategic customers to design, implement, and scale production deployments of generative AI systems. Our work ensures that organizations can safely and effectively integrate AI into critical workflows.

Within this team, the Health & Life Sciences (HLS) segment focuses on enabling pharmaceutical manufacturers, biotechnology companies, medical device organizations, contract research organizations (CROs), and health systems to adopt AI responsibly in regulated environments. We work across clinical, scientific, regulatory, and operational functions to unlock meaningful impact while maintaining the highest standards of safety, privacy, and compliance.

About the Role

We are seeking a Manager, AI Deployment Engineering to lead our Healthcare & Life Sciences deployment efforts. In this role, you will build and mentor a high-performing team of deployment engineers dedicated to helping HLS organizations move from experimentation to production with OpenAI technologies.

You will operate at both strategic and technical levels , partnering with executive stakeholders, technical leaders, and cross-functional internal teams to deliver secure, compliant, and high-impact AI deployments. This role requires a strong technical foundation, people leadership experience, and a deep appreciation for the complexity of regulated healthcare and life sciences environments.

This role is based in San Francisco or Seattle. We use a hybrid work model of 3 days in the office per week.

Responsibilities

• Own the strategy and operating model of the HLS AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.

• Hire, mentor, and develop a high-impact team of AI Deployment Engineers focused on HLS production deployments

• Establish operating mechanisms, delivery standards, and best practices tailored to regulated environments

• Foster a culture of technical excellence, customer empathy, and responsible AI deployment

• Drive Successful Enterprise Deployments and oversee end-to-end implementation of generative AI applications in production across healthcare and life sciences organizations

• Guide customers through complex integration efforts spanning R&D, clinical development, regulatory affairs, medical affairs, and IT

• Develop scalable frameworks for secure, compliant AI adoption in environments governed by HIPAA, GxP, FDA, EMA, and related regulatory standards

• Ensure measurable impact through activation, adoption, and workflow transformation (e.g., drug discovery acceleration, clinical documentation support, regulatory submission drafting)

• Collaborate closely with Sales, Account Directors, Solutions Architects, Product, Security, and Legal teams

• Serve as a trusted technical advisor to executive and senior technical stakeholders at enterprise HLS customers

• Provide structured product feedback informed by real-world deployment challenges and industry requirements

Requirements

• Have 8+ years of experience in technical delivery, solutions engineering, or deployment roles, including people management experience

• Have led enterprise-scale implementations of AI, ML, or platform technologies

• Bring experience in healthcare or life sciences environments, including familiarity with clinical research, drug development, regulatory operations, or health system infrastructure

• Understand compliance frameworks such as HIPAA, GxP, and global regulatory considerations

• Are comfortable engaging with executive stakeholders while maintaining technical depth

• Enjoy operating in ambiguous, fast-moving environments and building structure where it does not yet exist

• Care deeply about responsible AI and its application in high-stakes domains

About OpenAI

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

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

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

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to sensitive and confidential information, including but not limited to, customer data, financial information, and proprietary technology.

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As a Strategic Finance Lead, you will be a key partner to Corporate FP&A, Accounting, and Finance Systems, ensuring our compute financials integrate cleanly into the company plan, our models reconcile across pillars, and our leadership and board materials reflect a single, defensible source of truth.

Key responsibilities include:

Consolidation & Reporting

• Own consolidation and workback of the financial review cadences across all compute finance pillars into a single narrative for finance and compute leadership

• Manage the compute finance contribution to board materials and executive reviews

• Own and maintain team dashboards, recurring content, and reporting infrastructure , keeping them live, accurate, and reconciled

• Drive integration of financial models across the compute finance team into a coherent, full three-statement view

Operating Rhythm & Systems

• Own the calendar and cadence between Compute Finance and Corporate FP&A , close, forecast, budget, and long-range plan handoffs

• Run team operating rhythm: meeting agendas, sprint cadence, recurring deliverable tracking, and cross-pillar coordination

• Own compute finance's planning-system footprint , datasets, sources of truth, and pipeline into corporate systems

• Drive model hygiene, version control, and central organization of team financial models

Minimum qualifications include:

• Experience in FP&A, strategic finance, finance operations, consulting, or investment banking, preferably in a multi-business-unit or infrastructure-heavy environment

• Built or run a consolidation, allocation, or planning process across multiple finance owners

• Exceptional analytical skills and the ability to reconcile complex models into a single defensible view

• Strong process design and operating-cadence instincts

• Excellent written communication; comfortable producing board- and executive-level materials

• Comfort working cross-functionally and communicating complex financial information to non-finance audiences

• Bias towards action, strong work ethic, and experience driving outcomes under tight timelines

• Passion for Anthropic's mission to build safe, transformative AI systems

Preferred qualifications include:

• 7+ years of experience in FP&A, strategic finance, finance operations, consulting, or investment banking

• Experience with cost allocation / chargeback methodologies in a cloud or infrastructure context

• Background in AI, ML, cloud service provider economics, or large-scale computing infrastructure

• Proficiency with SQL, Python, and Excel

• Prior chief-of-staff, BizOps, or finance-systems experience in a high-growth environment

The annual compensation range for this role is $190,000-$235,000 USD.

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The Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows , searching, analysing, and creating across the tools and documents knowledge workers use every day.

As that work scales, the systems behind it need to be as rigorous as the research itself. We are looking for a Research Engineer to own the reliability, observability, and infrastructure foundation that the team's research depends on.

You will be responsible for ensuring our training and evaluation runs remain stable, well-instrumented, and high-quality as they grow in scale and complexity.

A core part of this role is shifting reliability work from reactive to proactive: hardening systems, stress-testing at realistic scale, and building the observability and tooling that surface problems early , so researchers can stay focused on research rather than incident response.

You will be the team's stable, context-rich owner for environment health and evaluation integrity, and the primary point of contact for partner teams when issues arise.

Key Responsibilities:

• Serve as the dedicated reliability owner for the Knowledge Work training environments, providing continuity of context and reducing the operational overhead of rotating ownership
• Own a clean, canonical set of evaluation tools and processes for Knowledge Work capabilities, including the process used for model releases
• Build and automate observability, dashboards, and operational tooling for our training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation
• Proactively harden environments and evaluation systems through load testing, fault injection, and stress testing at realistic scale, so failures surface early rather than during critical training work
• Act as the primary point of contact for partner training and infrastructure teams when issues in our environments arise, and drive incidents to resolution
• Reduce the operational burden on researchers so they can stay focused on research

Minimum Qualifications:

• Highly experienced Python engineer who ships reliable, well-instrumented code that teammates trust in production
• Demonstrated experience operating ML or distributed systems at scale, including significant on-call and incident-response experience
• Strong SRE or production-engineering mindset , reaching for SLOs, load tests, and failure injection before reaching for more dashboards
• Foundational ML knowledge sufficient to understand what a training environment or evaluation is actually measuring, and recognise when an evaluation has become stale or gameable
• Able to read research code and reason evaluation integrity

Preferred Qualifications:

• 5+ years of experience operating ML or distributed systems at scale
• Experience building or operating RL environments, agent harnesses, or LLM evaluation frameworks
• Familiarity with reward modelling, evaluation design, or detecting and mitigating reward hacking
• Experience with observability stacks (metrics, tracing, structured logging) and operational dashboard tooling
• Background in chaos engineering, fault injection, or large-scale load testing
• Experience with data quality pipelines, drift detection, or evaluation-set curation and versioning
• Familiarity with large-scale training or inference infrastructure (schedulers, multi-agent orchestration, sandboxed execution)
• Prior experience as a dedicated reliability or operations owner embedded within a research team

Logistics

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

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits.

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We are seeking experienced Member of Technical Staff – Copilot AI Evaluation Engineering Manager to lead building our LLM evaluation solutions for Copilot. You’ll work in a deeply iterative, collaborative, fast-paced environment to improve our technology for millions of users around the world. You will lead a team of talented software engineers and applied AI engineers to deliver world-class evaluation solutions that are secure, reliable, and scalable, while collaborating closely with cross-functional teams including Product and Research.

Responsibilities:

• Hire, manage, and lead a team of software engineers, AI engineers, and machine learning engineers responsible for delivering world-class LLM evaluation solutions.
• Collaborate with Eng and Product leadership to prioritize features and improve our world-class AI companion to the world.
• Design and build evaluation platforms, novel evaluation techniques, and agentic solutions for measuring and improving copilot quality.
• Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.

Qualifications:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• 3+ years people management experience.
• Hands on experience with ML and/or AI evaluation OR equivalent experience.
• Experience leading engineering teams to deliver large-scale software systems, preferably in AI, machine learning, graphics or related fields.
• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
• Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
• Have strong opinions about best investments to make in establishing the most delightful and performant AI companion engineering system.

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In this role, you will use qualitative (customer feedbacks, user research, academic research) and quantitative data analysis to drive immediate and long-term improvements (data, relevance, UX, measurement) to both existing experience and identify opportunities for the future.

You will closely work with designers, engineers, scientists, user research and broader cross-org teams across Windows, Edge and Microsoft to build a plan and roadmap to evolve the experience and support our partners.

You will also rely on your experience in enhancing existing UX & platform solutions at scale to be adopted by multiple products and teams across Microsoft.

The Search organization includes the product, engineering, and growth teams responsible for Microsoft Bing worldwide.

Our mission is to delight users everywhere with the best search experience. We are focused on creating competitive and differentiated search quality experiences, which we do by applying highly advanced ML technologies such as large-scale deep learning models and by investing in more modern search experiences.

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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Your tasks will include:

• Designing scalable KI architectures: developing high-performance architectures and integrating ML and GenAI models into customer environments (e.g., SAP, CRM, Microservices)
• Implementing pipelines and workflows: building scalable data and AI architectures, integrating them into existing pipelines, and developing XOps solutions
• Backend services and system integration: developing high-performance services to integrate models into productive workflows and ensuring smooth transitions between training, deployment, and application
• Deployment, monitoring, and optimization: implementing prototypes and MVPs in cloud environments, optimizing performance, and ensuring scalability and security
• Identifying use cases: analyzing business processes, recognizing potential for GenAI, and deriving technical solutions
• Project and stakeholder management: moderating workshops, closely coordinating with interdisciplinary teams, international project partners, and customers

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

• Completed studies in computer science, software engineering, data science, or a comparable field with at least 4 years of professional experience, ideally in consulting and (Gen)AI
• Passion for AI and Generative AI, scalable systems, cloud technologies, and building high-performance AI infrastructure
• Expertise in Python, ML, LLMs, RAG, cloud environments (Azure, AWS, GCP), Docker, Kubernetes, REST APIs, CI/CD
• Knowledge in software architecture, cloud-native design, MLOps, and AI security
• Your work style is characterized by self-responsibility, goal orientation, teamwork, and hands-on mentality

Before departure:

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

At MHP, you grow continuously in an innovative and supportive environment. This makes us the perfect sparring partner for your career. For both professional input and networking. We offer you:

• Appreciation. We support and appreciate colleagues as they are and celebrate our successes together
• We are always happy about creativity and new impulses
• Flexibility. Time-wise and location-wise - according to the project at home, in the office, or at the customer
• You have the opportunity to grow with us in tasks, knowledge, and responsibility

To apply, please submit your application as soon as possible. Simply online through our Job Locator. There, you can send your application documents, such as resume, certificates, and possibly project lists, in just a few clicks to us. A cover letter is not required.

By the way: If your application reaches us, our recruiting team checks across departments whether there is a suitable position for you. Irrespective of current job postings, we try to find the right job for you at MHP.

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This role is responsible for designing and running the enterprise GTM architecture across RevOps, sales performance, and cross-functional execution, ensuring Scale's largest and most strategic accounts are engaged with rigor, consistency, and impact.

The GTM Architect will bring a strong point of view on how Scale engages enterprise accounts, how performance is measured, and how teams operate day-to-day to drive predictable growth. Over time, this role will have the opportunity to build and lead a GTM / RevOps team.

Responsibilities:

• Own and evolve Scale's enterprise GTM operating model, including account engagement strategy, funnel design, and sales execution standards

• Design and manage the enterprise RevOps systems stack (e.g., CRM, forecasting, reporting, planning tools) to support scalable growth

• Define, track, and operationalize core enterprise GTM metrics across pipeline health, deal velocity, forecast accuracy, and rep productivity

• Establish and run sales operating cadences including pipeline reviews, forecast calls, QBRs, and performance reviews

• Partner with Sales Leadership and Finance to design, implement, and maintain enterprise sales compensation plans, including quota governance and attainment reporting

• Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility

• Serve as a strategic thought partner to Enterprise Sales leaders, bringing a strong opinion on how accounts should be covered, prioritized, and engaged

• Act as the connective tissue across Sales, Marketing, Finance, Product, and Solutions Engineering for enterprise GTM planning and execution

• Support annual and quarterly planning efforts including territory design, capacity modeling, headcount planning, and quota setting

• Ensure data integrity, process clarity, and operational discipline across all enterprise GTM motions

Ideally, You Will Have:

• 8–12+ years of experience in RevOps, Sales Ops, or GTM Strategy roles, with deep exposure to enterprise sales environments

• Experience supporting complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies

• Proven ownership of sales systems, forecasting, and performance measurement at scale

• Hands-on experience designing and managing enterprise sales compensation plans and reporting

• Strong understanding of enterprise GTM metrics, planning cycles, and operating cadences

• A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale

• Comfort influencing senior sales leaders and executives without direct authority

• Excellent written and verbal communication skills, including experience building executive-level materials and dashboards

• Strong command of GTM systems and tools (e.g., Salesforce, Clari, planning and reporting tools)

• High attention to detail paired with the ability to operate at a strategic altitude

• Demonstrated ability to operate as a senior IC with the ambition and capability to build and lead a team over time

• Technical curiosity or experience working alongside technical products and teams; familiarity with AI, ML, or data platforms is 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.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $176,000-$220,000 USD

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Our approach is to empower our engineers to take ownership of their work and make decisions that drive results. We believe in a fast-paced, high-ownership environment where you'll have the opportunity to build and iterate on complex systems that scale to millions of tasks per week.

In this role, you'll help shape the engineering culture, values, and best practices of a fast-growing team. You'll work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

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.

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.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000-$225,000 USD

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You:

• Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

Strong Candidates May Also Have:

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals.

By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.

The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakebase product-line requires the following core technical competencies:

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)

Impact

Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.

Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.

Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams

Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

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Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis.

You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.

The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills.

We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes.

If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.

Responsibilities:

• Design and execute research experiments
• Build and evaluate frontier LLM datasets
• Develop training and testing material for frontier pipelines
• Improve quality of existing and new products

Ideally you’d have:

• Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated
• Strong writing and verbal communication skills
• An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
• Analytical, planning, and process improvement capability
• Experience working in a fast-paced, entrepreneurial environment
• Technical skills including familiarity with Python, GPU, AWS, API, LLM, ML, and SQL

Pay: $60-80/hr

Commitment: This is a fully remote, US-based part-time (10-20 hours per week), on-going contract position staffed via HireArt.

HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas, including CPT/OPT or employ corp-to-corp.

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You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.

You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.

You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to represent Anthropic to high-level executives in high-stakes environments.

Responsibilities:

• Manage the technical delivery plan for each engagement.
• Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
• Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
• Supervise technical discovery: map customer workflows, identify constraints, define the MVP, and shape the solution architecture for custom agent deployments.
• Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
• Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Manage the кури relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic to high-level commercial and technical executives in terms of technical credibility.
• Measure value and ROI: define impact hypotheses, establish baselines and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
• Codify reusable solution patterns, evaluation frameworks, and technical manuals.
• Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.
• Navigate enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.
• Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, as needed.
• Manage delivery operations: sprint ceremonies, review milestones, and progress reports.
• Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).

Requirements:

• More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, in startups/founders, technical profiles, professional services, consulting, or enterprise software.
• Have deployed AI agent-based solutions using AI, ML, or LLM. You understand applicable models, integration approaches, and real-world realities.
• Be able to hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical engagement direction alongside Forward Deployed Engineers.
• Have experience delivering complex, high-stakes technical projects for enterprise customers, where results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
• Have an assertive personality: be comfortable, credible, and able to represent Anthropic to high-level executives in high-stakes environments. Overcome ambiguous contexts and bring structure where there isn't.
• Have a builder mindset: here to create a function, not occupy it.

Additional assets:

• Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
• Experience in a deployed engineering firm or professional services and consulting firms.
• Exceptional understanding of LLM capabilities and limitations.
• Experience with regulated industries and compliance requirements.
• Experience managing delivery teams with integrated engineers on customer sites.
• Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.

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Key responsibilities include:

• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online

The ideal candidate will have a strong understanding of computer science fundamentals, experience applying LLM to search relevance, and contributions to well-used open-source projects.

At Databricks, you'll have the opportunity to shape the future of AI-driven products, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

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Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support.

Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.

We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you!

Product Engineers in the AI Group will:

• Build the systems that power Intercom's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.
• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

We're looking for experienced product engineers who take an analytical approach to development and have some hands-on experience with ML systems. You should have:

• 10+ years of experience shipping high-quality products.
• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn't need to be a language that we use here!
• Strong willingness to fight for good outcomes - Bias towards progress over perfection - BSc in Computer Science, Maths or Statistics or related discipline

Bonus skills & attributes:

• Previous experience in data analytics, or statistical role

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The media landscape for developer tools doesn't look like it did five years ago. We need someone who understands both traditional press and the channels where developers form opinions. You might have come up through an in-house comms team, or you might have run launches inside product marketing, handled press from a DevRel role, or found your way to this work from somewhere adjacent.

You should be a Claude Code user yourself and know the product well.

Responsibilities:

• Own communications for Claude Code, from the big launches to the steady rhythm of updates, community moments, and everything in between
• Build and maintain strong relationships with journalists, newsletter writers, podcasters, and creators covering dev tools and the AI ecosystem
• Lead cross-functional product launch communications, coordinating messaging across comms, marketing, developer relations, and product
• Advise leadership and DevRel when things move fast or catch fire, whether it’s an incident or a community thread
• Translate complex technical work into stories that land with developers and still make sense to broader audiences
• Develop messaging frameworks and content strategies that work across technical and non-technical audiences
• Prepare Claude Code engineers and product leads for external moments: podcasts, talks, press, etc.
• Think across channels (press, social, community, owned) and know which lever to pull for each moment
• Pay attention to what's actually working and build the program from there

You may be a good fit if you:

• Have 8–12 years of experience in communications, PR, or developer marketing, with meaningful time focused on technical products or developer audiences
• Use Claude Code heavily and can talk specifically about how you use it in your day-to-day
• Are high-agency and low-ego, with a bias to action
• Write clearly and concisely, whether it's a launch post or a cross-functional update, a lot of context moves through this role and people need to be able to follow it
• Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage
• Are very online, follow the right people, know what's moving through Hacker News and developer social chatter, and catch things early
• Have real fluency in developer culture and know how trust gets earned there

Strong candidates may also

• Have experience at developer tools companies, infrastructure products, or open source projects
• Have an existing network in developer media, technical journalism, or the creator space
• Have experience managing communications for AI or ML products

The annual compensation range for this role is $185,000-$255,000 USD.

Logistics

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

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

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

How we're different

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

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

Come work with us!

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

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You will be responsible for full-cycle enterprise sales - from prospecting and deal strategy through close, renewal, and expansion - while serving as the quarterback across internal teams including Solutions Engineering, Product, Research, and Operations. This role requires strong ownership, executive presence, and the ability to navigate multi-stakeholder enterprise buying processes in a fast-paced environment.

Responsibilities:

• Own and drive relationships with Scale's largest and most complex Fortune 500 prospects and customers
• Build trusted relationships with executive, technical, and operational stakeholders across multiple business units
• Develop and execute comprehensive account strategies to drive net-new revenue, expansion, and long-term partnerships
• Lead strategic deal planning and mutual close plans across new business, renewals, and expansions
• Partner closely with Solutions Engineering and Product teams to deliver compelling, technically credible value propositions
• Act as the voice of the customer internally, influencing product roadmap, research priorities, and delivery execution
• Maintain deep understanding of customer business goals, AI maturity, and industry trends to proactively identify opportunities
• Consistently communicate account health, pipeline, and forecast accuracy using Salesforce, Clari, and related tools

Ideally, You Will Have:

• 8+ years of enterprise sales or account management experience, including 2+ years selling deeply technical solutions to both business and technical audiences
• A proven track record of closing and expanding large, complex enterprise deals
• Demonstrated success consistently achieving or exceeding quota in enterprise sales roles
• Experience building and executing long-term account strategies to drive sustained revenue growth
• Strong ability to lead enterprise renewal processes from strategy through close
• Excellent written and verbal communication skills, with comfort presenting to executive audiences
• Strong command of enterprise sales processes and systems (Salesforce, Clari, Outreach, Slack)
• A consultative, customer-first mindset with the ability to influence cross-functional internal teams
• Experience developing executive-level materials and business cases
• Strong project management, organisational skills, and attention to detail
• Technical background or strong technical curiosity highly valued, especially familiarity with AI, ML, or data platforms

Sales Commission:

This role is eligible to earn commissions. 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.

Benefits:

Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Additional benefits may include a commuter stipend.

Salary Range:

$207,200 - $259,000 USD

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marimo is a reinvention of the Python notebook , it feels like a next-gen reactive Python notebook, but is stored as pure Python that can be versioned with Git, deployed as a data app, run as a script, and reused as a module.

As a senior developer relations engineer on marimo's growth team, you will:

Work smart (and hard) to find high-leverage, scalable, and measurable ways to grow usage, ranging from growth-related software engineering to content creation

Serving as a technical bridge between Marimo and our users, maintaining relationships with key champions and community members

Organize and regularly attend events in the SF Bay Area (and around the US when needed)

Build and nurture relationships with partner open-source projects and DevRel teams to co-create content, integrations, and joint community initiatives

This role is only open for candidates in San Francisco.

Who You Are:

2+ years of experience in software engineering

2+ years of experience in developer relations and growth

Proficiency in Python, with strong fundamentals that are language agnostic

Technical background in AI, ML, and data science

Strong communication skills, written and verbal, with a proven track record

Preferred:

Experience with AI coding models

Experience with growing open-source communities

Experience with Python notebooks

Experience with developer tools

A relentless focus on data-driven methods and efficiency

The base salary range for this role is $165,000 to $242,000.

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Responsibilities:

• Team Leadership – Build, manage, and develop a team of high-performing engineers, providing mentorship and career development while fostering a collaborative and inclusive culture.
• Cross-Functional Collaboration – Partner with product, design, and technical writing teams to define the roadmap and drive execution.
• End-to-End Execution – Oversee the entire software development lifecycle, from capacity planning and roadmapping to prototyping and production deployment.
• Technical Leadership – Contribute to technical discussions and architectural decisions within your product area.
• Quality & Operational Excellence – Establish and uphold best practices to maintain a high-quality bar for all deliverables, ensuring reliability, scalability, and usability.
• Innovation & AI Integration – Leverage modern AI tools to improve team productivity and enhance product capabilities.

About You:

• Experience – 5+ years of engineering management experience, with a track record of building and leading high-performing teams.
• AI & Data Expertise – Strong background in AI, ML, and data-driven products, with experience building and scaling intelligent applications.
• Startup Mentality – Comfortable operating in a fast-paced startup environment, navigating ambiguity, and driving impactful results.
• Technical Proficiency – Deep knowledge of modern technology stacks, including cloud infrastructure, container orchestration systems, TypeScript, React, and related tools.
• SaaS & Enterprise Experience – Proven ability to deliver SaaS-based enterprise software solutions at scale.
• Process & Productivity – Experience implementing SDLC, and leveraging modern productivity software (Jira, Confluence, Figma, etc.).
• AI-Driven Development – Passion for integrating modern AI tools to optimise development workflows.

Compensation: The base salary range for this role is $280,000 to $300,000 + bonus, equity, and benefits.

Benefits:

• Flexible PTO: Because life is better when you actually live it!
• Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
• 401(k) with Matching: We’ve got your back for a secure future.
• Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
• Therapy Sessions Covered: Mental health matters, 10 free sessions through Samata Health.
• Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
• Lunch on Us: Enjoy a lunch credit when you’re in the office.

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You:

• Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

Strong Candidates May Also Have:

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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Our Product Marketing team's mission is to generate customer insights that inform Stripe's product strategy, and lead go-to-market for our suite of products.

Responsibilities

• Develop go-to-market strategies to drive growth of Stripe Tax and Data products. Deeply understand the market, target segments, customer needs - and use this knowledge to develop high-impact marketing strategies to drive growth across the self-serve and sold funnels.
• Lead a small but mighty high performing team. Develop go-to-market strategies to drive growth of Stripe Tax and Data products. Deeply understand the market, target segments, customer needs - and use this knowledge to develop high-impact marketing strategies to drive growth across the self-serve and sold funnels.
• Partner closely with Product Management, Sales, and Corporate Marketing to shape the product roadmap, messaging, and positioning for Revenue products.
• Create compelling and differentiated product narratives, core messaging, and customer-facing content (e.g., website copy, sales decks, case studies).
• Lead a small but mighty high performing team.

What you'll do

• Be a storyteller. You have deep empathy for users and are able to adapt how you communicate to best reach and engage your audience and differentiate Stripe.
• Lead with data. You like working with data and insights and pair that with your passion for users to generate balanced and thoughtful points of view for how to take our products to market.
• Keep things organized. You are able to manage highly interdependent, complex projects and keep various workstreams on track.
• Have a passion for technology. You are keen to learn about how things work and are able to explain technical concepts in ways that everyday people can understand.
• Be Ambitious. You are eager to make an impact at Stripe.
• Lead and Mentor. You are an experienced, empathetic, and hands-on leader with a track record of developing and mentoring high-caliber talent.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.

• 10+ years of product marketing experience, with 3+ years as a people manager
• Exceptional cross-functional leadership and ability to influence across all levels and functions, from senior leadership to project teams.
• High comfort toggling between big-picture strategy and detailed execution, with a strong bias to action
• Excellent communication and presentation abilities, with a proven track record explaining technical concepts in ways that technical and non-technical audiences can understand
• Proven ability to partner with Sales

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Key responsibilities include:

• Developing and deploying ML-based search and discovery relevance models and systems integrated with Databricks' products and services.
• Designing and implementing automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.
• Collaborating with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.
• Contributing to building a robust framework for evaluating search ranking improvements - both offline and online.

Requirements include:

• A Bachelor's degree in Computer Science or a related field, with a Master's or PhD preferred.
• 5+ years of experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance.
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects.

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In this role, you'll develop and execute communications strategies across our research portfolio, including interpretability, alignment, model welfare, and model training, turning dense technical work into stories that resonate with distinct audiences. You'll lead launch moments for major research publications, papers, and milestones, owning the narrative, media strategy, and cross-functional rollout.

You'll create thought leadership opportunities for research executives to build their profiles as leading voices in AI safety through speaking engagements, bylines, conferences, and media. You'll build and maintain relationships with key science and technology journalists, research-focused outlets, and influencers in the AI and ML space.

As a trusted comms partner to research leads and senior stakeholders, you'll serve as a liaison between technical teams and external audiences, ensuring that complex research is communicated effectively and accurately.

To succeed in this role, you'll need 8+ years of experience working in communications, ideally with significant time spent on science, research, or deep-tech storytelling. You'll excel at translating complex technical concepts into compelling messaging and have a strong record of building proactive communications campaigns around technical or scientific work that resonated with a diverse range of audiences.

You'll be excellent at media relations, including with reporters who cover tech, science, and research rather than just business or product news. You'll have experience working directly with researchers, scientists, or engineers on a variety of topics and be comfortable operating in areas of genuine uncertainty , where the science is evolving, the stakes are high, and there may not be a right answer yet.

If you're a results-oriented individual with a bias toward flexibility and impact, who wants to be part of a fast-paced, small, experienced, and impactful team, we'd love to hear from you!

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As the Product Strategy Principal, you will lead the development of a compelling multi-year product strategy to support the overall strategic goals of CoreWeave. You will develop deep insight about customer needs and the market and translate these insights into a compelling product strategy and roadmap.

In this role, you will collaborate closely with product and engineering teams to guide the portfolio strategy and align different product areas to a common strategy. You will maintain a balance between cutting-edge technology, user-friendliness, and market viability.

The ideal candidate will have proven experience in product strategy, product management, or product operations, preferably with a focus on AI, ML, Cloud, and SaaS technologies. They will have a good understanding of the AI and ML technology landscape, including current trends and potential future directions.

The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

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You will partner closely with Field Engineering (FE),who leads technical success,while you lead the commercial motions including renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement.

This role requires comfort engaging highly technical personas (ML engineers, researchers, PhDs) and operating with autonomy in a rapidly evolving AI ecosystem; it is not a playbook-driven role.

Key responsibilities include:

• Owning renewals, upsells, and cross-sells across your assigned accounts.
• Building and maintaining detailed account plans including account maps, whitespace, usage trends, risks, and growth opportunities.
• Generating growth pipeline by identifying new use cases, teams, and product opportunities within existing accounts.

To be successful in this role, you will need to have a strong, genuine interest in AI/ML and the evolving machine learning ecosystem. You should also have high technical and product curiosity, be comfortable speaking with developers, ML engineers, and researchers, and have proven ability to drive growth motions (upsells, cross-sells) and manage retention in technical accounts.

Preferred qualifications include experience working with ML, MLOps, DevOps, or data infrastructure teams, familiarity with Git, Jupyter, Python, PyTorch, or cloud platforms (AWS, GCP, Azure), and exposure to AI-native companies, model builders, or generative AI workflows.

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xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Our team is small and highly motivated, focused on engineering excellence. We operate with a flat organisational structure, where all employees are expected to be hands-on and contribute directly to the company's mission.

Responsibilities

We're looking for a Member of Technical Staff to join our team. Key responsibilities include:

Scaling synthetic coding data to trillions of tokens with large-scale Docker verification. Distilling the intelligence of flagship models into flash models through synthetic data generation. Optimising mid-training data mixtures to boost the ceiling for RL. Engineering long-context data recipes. Developing robust and diverse evaluation for mid-training checkpoints.

Basic Qualifications

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

Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. Strong ability to design ML experiments. Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities. Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing.

Compensation and Benefits

The base salary for this role is $180,000 - $440,000 USD. Our total rewards package includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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This role is located in the US (Northeast Preferred) and reports to the Global Leader of Value Acceleration.

Key responsibilities include:

• Drive significant financial impact across Financial Services sector customers in the Americas
• Identify root causes of challenges in our value selling process and implement scalable solutions
• Work with Leadership ensuring that sales-led customer engagements are centered around value creation and measurement
• Be instrumental in pursuits of key accounts, building win narratives and account strategy
• Help win sales opportunities, directly engaging with sales teams and customers to build the business case and document the impact realized from using Databricks
• Teach the tenets of Business Value Consulting to field Sales and Customer Success teams
• Work with Marketing to promote the measurable impact of Databricks inside and outside our company through presentations, blogs, webinars, and whitepapers
• Build reusable financial benefit analysis models for BVC practitioners and field teams
• Partner with GTM leaders to advance industry and broader go-to-market objectives
• Leverage Databricks' unique differentiators to address customer challenges and accelerate growth

This high-impact role places you at the intersection of cutting-edge enterprise data & AI innovation and business transformation. As part of our well-connected Value team, you'll have:

• Access to industry-leading experts and thought leaders
• Autonomy to select problems that align with your passion and critical business needs
• Opportunity to drive meaningful change across the organization
• Clear path for career progression based on impact
• Work with a team that has a reputation for driving meaningful change throughout Databricks

We are looking for a highly experienced Business Value Consultant with a strong understanding of data challenges faced by individual contributors and leaders in FINS. You should have:

• 9+ years experience as part of an enterprise software sales or consulting team or working in IT
• 5+ years experience as a Business Value Consultant
• Experience applying data-driven problem solving to business challenges
• Strong understanding of data challenges faced by individual contributors and leaders in FINS
• Ability to quickly become conversant in Databricks' differentiators (within 6 months)
• Experience with how big data, analytics, ML and AI support the business
• Consultative approach working externally with customers and internally as well
• Outstanding communication and presentation skills; articulate and professional
• Excellent business case creation and analysis skills
• Financial and business acumen
• A truth-seeking problem solver
• Industry domain expertise in Financial Services
• Experience expanding existing customer relationships
• Winning as part of a team

Travel requirements: Travel within the US depending on customer need, frequency varies.

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As a research engineer, you'll partner with the product org to ensure that the vision improvements you deliver impact Claude's performance on real-world tasks. You'll also work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning.

Strong candidates may also have experience with large-scale pretraining, SL, and RL on language models, deep learning research on images, video, or other modalities, developing complex agentic systems using LLMs, high-performance ML systems (GPUs, TPUs, JAX, PyTorch), and large-scale ETL and data pipeline development.

The annual compensation range for this role is $350,000-$850,000 USD.

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This role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You are joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.

Key Responsibilities:

• Design Technical Enablement Programs: Architect comprehensive enablement programs such as Advanced Technical Academies, Delivery Specializations, and technical onboarding to drive partner technical proficiency. In collaboration with Subject Matter Experts, you will define end-to-end learning paths, encompassing curriculum, assessments, and success metrics

• Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives.

• Technical Roadmap Leadership: Own the roadmap for technical programs, including large-scale learning events, global workshop schedules, and GTM strategies for enablement.

• Performance Accountability: Drive results for your partner portfolio, maintaining full ownership of key metrics such as training completion and certification targets.

• Data-Driven Insights: Monitor and analyze KPIs (Certification rates, ROI, and program impact) to continuously optimize enablement effectiveness.

• Quality Assurance & Coaching: Oversee the technical integrity of programs launched across the team. Evaluate and coach cross-functional training resources to ensure 'best-in-class' delivery.

Minimum Qualifications:

• Education: Bachelor's degree in a technical discipline or equivalent practical experience.

• Experience: 7+ years of experience developing and scaling technical learning programs within a global enterprise tech ecosystem.

• Technical Depth: Deep understanding of Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI); ideally holds at least one industry certification in these areas.

• Consulting Background: Proven experience as part of a technical delivery team, successfully implementing Data & AI projects for external clients.

• Ecosystem Knowledge: Strong understanding of the System Integrator (SI) business model and how technical partners successfully go to market.

• Program Management: Proven track record of managing technical competency models and learning journeys for large, geographically dispersed teams.

• Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders.

Preferred Qualifications:

• Strong background in the Generative AI landscape.

• Experience scaling technical enablement within 'Hyperscaler' environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems.

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The media landscape for developer tools doesn't look like it did five years ago. We need someone who understands both traditional press and the channels where developers form opinions. You might have come up through an in-house comms team, or you might have run launches inside product marketing, handled press from a DevRel role, or found your way to this work from somewhere adjacent.

You should be a Claude Code user yourself and know the product well.

Responsibilities:

• Own communications for Claude Code, from the big launches to the steady rhythm of updates, community moments, and everything in between
• Build and maintain strong relationships with journalists, newsletter writers, podcasters, and creators covering dev tools and the AI ecosystem
• Lead cross-functional product launch communications, coordinating messaging across comms, marketing, developer relations, and product
• Advise leadership and DevRel when things move fast or catch fire, whether it’s an incident or a community thread
• Translate complex technical work into stories that land with developers and still make sense to broader audiences
• Develop messaging frameworks and content strategies that work across technical and non-technical audiences
• Prepare Claude Code engineers and product leads for external moments: podcasts, talks, press, etc.
• Think across channels (press, social, community, owned) and know which lever to pull for each moment
• Pay attention to what's actually working and build the program from there

You may be a good fit if you:

• Have 8–12 years of experience in communications, PR, or developer marketing, with meaningful time focused on technical products or developer audiences
• Use Claude Code heavily and can talk specifically about how you use it in your day-to-day
• Are high-agency and low-ego, with a bias to action
• Write clearly and concisely, whether it's a launch post or a cross-functional update, a lot of context moves through this role and people need to be able to follow it
• Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage
• Are very online, follow the right people, know what's moving through Hacker News and developer social chatter, and catch things early
• Have real fluency in developer culture and know how trust gets earned there

Strong candidates may also

• Have experience at developer tools companies, infrastructure products, or open source projects
• Have an existing network in developer media, technical journalism, or the creator space
• Have experience managing communications for AI or ML products

The annual compensation range for this role is $185,000-$255,000 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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Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property manager alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.

As a Staff Engineer, you will help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents.

This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences. Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service.

Delightful, trustworthy, and deeply effective. Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.

You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

You'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.

As our first US-based engineer, you'll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.

You'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.

Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.

Why This Could Be Your Dream Role

• You'll work directly with cutting-edge LLM technology in a real-world application
• You want to work at a company where customers feel your impact every day
• You'll architect AI-powered systems that are transforming the real estate industry
• You'll have autonomy to design and implement innovative technical solutions
• Your work will directly impact thousands of apartment communities and millions of renters
• You'll receive significant equity in a venture-backed company with strong traction

Why You Might Want to Think Twice

• This is a demanding role that will often require extended hours and deep commitment
• As a founding team member, you'll need to wear multiple hats and step outside your comfort zone
• You'll need to make thoughtful tradeoffs between innovation and immediate needs
• You'll interact directly with customers to understand their needs and occasionally travel to their offices
• We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs
• If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you

Responsibilities

• Working closely with our product team to translate customer needs into technical solutions
• Creating intelligent configuration interfaces that allow our AI to adapt to customer needs
• Designing and implementing integration frameworks connecting our AI with customer systems
• Establishing modern engineering practices and infrastructure for an AI-first product
• Implementing robust analytics to measure and improve our AI's effectiveness
• Leading the development of innovative features that push the boundaries of AI in real estate
• Mentoring engineers and elevating the team's capabilities with LLM technologies

Your Experience Looks Like

• Strong people leadership experience and bias for action
• Must have hands-on experience in architecting, designing and implementing agentic AI systems
• Very strong experience in architecting and implementing scalable agentic systems
• Hands-on experience using at least one agentic framework and familiarity with other agentic frameworks
• Hands-on experience using cutting edge LLM, fine-tuning LLM and integrating them in production grade software used by real users
• Proven track record in fast-paced startup environments and collaborating with global teams
• Must have expertise in React and Python or Node.js
• Knowledge of ML, AI, LLMs

Guiding Principles

• Customer‑First Outcomes
• Bias for Simplicity
• Quality Is a Gate, Not an After‑Thought
• Data‑Driven Choices
• Transparency & Written Culture

Other Benefits

• Great health insurance, dental, and vision
• Gym and workspace stipends
• Computer and workspace enhancements
• Unlimited PTO
• Company off-sites with the team
• Opportunity to play a critical role in building the foundations of the company and Engineering culture

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This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.

Responsibilities:

• Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability
• Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields
• Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems
• Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals
• Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy
• Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication
• Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions
• Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably

Key Qualifications:

• 3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains
• Demonstrated ability to build and maintain highly organized recruiting systems and processes
• Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions
• Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams
• Experience sourcing passive, highly competitive candidates
• Excellent written and verbal communication skills
• Ability to operate effectively in fast-moving, ambiguous environments

Preferred Qualifications:

• Experience in one or more of the following is a strong plus:

  • Recruiting or sourcing for research-heavy organizations or frontier AI labs
  • Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)
  • Experience hiring PhD-level researchers or highly specialized engineers
  • Background in startup environments or early-stage team building
  • Experience with advanced sourcing tools, automation, or custom workflows

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

Equal Opportunity & Pay Transparency

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

In accordance with California law, we disclose the following:

• Pay Range: $180,000-$225,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)
• Total Compensation: Base salary plus equity awards and annual performance bonus
• Salary History: We do not request or consider prior compensation in making offers

Compliance:

• Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA)
• Accommodations & inquiries: talent@worldlabs.ai

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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 are seeking an Account Executive – AI for Citizens to lead our engagement with governments across Europe. You will be responsible for building strategic relationships with ministries, agencies, and senior government officials, defining multi-year roadmaps, and ensuring the successful deployment of AI solutions aligned with national priorities such as digital sovereignty, transformation, and public service modernization.

Responsibilities

Strategic Public Sector Engagement

• Serve as the primary point of contact for government leaders and public institutions across priority regions.

• Develop multi-year strategic roadmaps aligned with national AI strategies and digital transformation agendas.

• Build long-term relationships with senior public sector executives, including Ministers, CIOs, and policy leaders.

• Coordinate with internal teams to ensure deployment alignment with public procurement and compliance frameworks.

Relationship & Ecosystem Leadership

• Act as the voice of the client within Mistral, ensuring AI deployments meet national priorities and regulations.

• Lead Quarterly Business Reviews with government clients, ensuring alignment and progress transparency.

• Navigate political and institutional complexity, anticipating challenges and aligning interests across diverse stakeholders.

Growth, Expansion & Impact

• Identify new use cases, pilots, and large-scale AI adoption programs in the public sector.

• Collaborate with technical and product teams to deliver customized solutions that address sovereignty, security, and operational needs.

• Negotiate upsell and cross-sell opportunities across ministries and agencies.

• Support expansion into adjacent government institutions and cross-border opportunities.

About you

• Experienced in managing strategic public sector or large enterprise accounts, with direct exposure to government bodies.

• Proven track record in multi-million-euro, multi-agency projects in politically complex environments.

• Experience working with deep tech solutions (AI, ML, cloud, large-scale data infrastructure), able to confidently engage CIOs, CDOs, CTOs, and technical leaders.

• Strong political acumen with the ability to navigate complex stakeholder networks, resolve tensions, and align divergent interests.

• Skilled at aligning technical product roadmaps with policy objectives, regulatory frameworks, and public procurement processes.

• Strong interpersonal skills , diplomatic, pragmatic, and trusted by senior stakeholders.

• Fluent in English (written & spoken); French or another EU language is a strong plus due to the regional scope.

• Prior experience with European governments, EU institutions, or regulated public sector bodies is a significant asset.

Benefits

• Competitive cash salary and equity

• Food: Monthly meal allowance

• Sport: Monthly contribution to a Gympass subscription

• Transportation: Monthly contribution to your mobility (parking charges or public transport)

• Parental: Generous parental leave policy

• Visa sponsorship

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This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organisational planning strategies.

While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.

Responsibilities:

• Develop, analyse, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement.
• Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers).
• Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions.
• Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations.
• Design, build, and maintain scalable and automated dashboards.
• Establish consistent KPI definitions and reporting standards.
• Improve data visualisation practices to ensure clarity, usability, and impact.
• Replace manual reporting processes with automated, real-time reporting solutions.
• Ensure high levels of data accuracy, integrity, and trust.
• Serve as primary People data and HRIS reporting expert.
• Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows.
• Manage data governance standards to ensure compliance and data privacy best practices.
• Identify process improvements that enhance efficiency, data structure and accessibility.
• Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems.
• Champion system education to drive employee and manager self-service adoption and data and systems utilisation.
• Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.

Requirements:

• Bachelor's degree in Statistics, Data Science, Business Analytics, HR, Economics, or related field.
• 5–7 years of experience in People Analytics, Workforce Analytics, HRIS Analytics, or related analytical roles.
• Prior experience modifying, improving and/or implementing People systems (Greenhouse, Paylocity a bonus).
• Advanced proficiency in data visualisation tools (Tableau, Power BI, Looker, or similar).
• Strong experience building executive dashboards from the ground up.
• Knowledge of data, statistical, and predictive analysis.
• Advanced Excel/Google Sheets skills.
• Experience working with large, complex datasets.
• Demonstrated ability to translate data into clear business insights and recommendations.
• Strong understanding of core People processes (recruiting, compensation, performance, engagement, workforce planning).
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving skills.
• Passion for driving continuous improvement simplifying workflows, implementing automation, and driving self-service.
• Demonstrated interest in leveraging AI to enhance systems and analytics.

Nice to haves:

• Experience in a high-growth biotech or startup environment, with exposure to IPO preparation, public company reporting requirements, or SOX-compliant processes.
• Familiarity with Greenhouse, Paylocity, or other HRIS/ATS platforms.
• Exposure to predictive analytics or basic modelling techniques.
• SHRM-CP or SHRM-SCP certification.

Benefits and additional information:

The US target range of our base salary for new hires is $120,275 - $170,100. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.

Family & Medical Leave Act (FMLA)

Equal Employment Opportunity (EEO)

Employee Polygraph Protection Act (EPPA)

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We’re looking for a Group Product Manager to join Core Experience, leading a group of product managers responsible for key parts of Spotify’s end-to-end mobile experience on iOS and Android. This includes features that millions of users interact with every day, for example Your Library, as well as the shared UI and interaction patterns that underpin Spotify’s mobile product.

Responsibilities

• Lead and develop a group of Product Managers, building strong product leadership, clear ownership, and healthy team dynamics.
• Define and drive product vision, strategy, and success metrics for initiatives within Core Experience, aligning teams around shared goals and priorities.
• Own and evolve a multi-team product roadmap, balancing new opportunities, platform investments, technical health, and ongoing experience improvements.
• Partner closely with Design, Engineering, Data Science, and User Research to identify user needs, validate hypotheses, and deliver cohesive end-to-end experiences.
• Collaborate with peers and senior partners across Spotify, communicating plans, progress, and tradeoffs while aligning with broader company objectives.
• Enable adjacent teams and product areas by building Core Experience capabilities and patterns that scale across the organization.
• Champion experimentation and learning, supporting teams in modern A/B testing, data-informed decision-making and iterative delivery.
• Stay close to the work, maintaining a hands-on approach while operating at a strategic, multi-team level.

Who You Are

• An expert product leader with prior people-management experience, including leading Product Managers across multiple teams.
• Proven in building and scaling consumer-facing products, with strong instincts for high-quality user experiences.
• Comfortable driving product strategy across several teams, navigating interdependencies and tradeoffs.
• Highly collaborative, with deep experience partnering with Design, Engineering, Data, and Insights.
• Broadly technically proficient, with familiarity in AI- and ML-enabled experiences, experimentation, and modern product development practices.
• Data-informed and driven by results, using insights and metrics to guide prioritization and strategy.
• A clear and compelling communicator, able to influence team members across functions and levels.
• Thoughtful and resilient when working through ambiguity, balancing strong product intuition with critical thinking

Where You’ll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).
• This team operates within the Central European and GMT time zone for collaboration.

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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 are a global company with teams distributed between France, USA, UK, Germany, and Singapore. We are committed to driving innovation and making a meaningful impact.

Role Summary

As part of our rapid growth, Mistral is expanding its footprint in the public sector. We are seeking an Account Executive – AI for Citizens to lead our engagement with governments across Europe.

Responsibilities

• Serve as the primary point of contact for government leaders and public institutions across priority regions.

• Develop multi-year strategic roadmaps aligned with national AI strategies and digital transformation agendas.

• Build long-term relationships with senior public sector executives, including Ministers, CIOs, and policy leaders.

• Coordinate with internal teams to ensure deployment alignment with public procurement and compliance frameworks.

Relationship & Ecosystem Leadership

• Act as the voice of the client within Mistral, ensuring AI deployments meet national priorities and regulations.

• Lead Quarterly Business Reviews with government clients, ensuring alignment and progress transparency.

• Navigate political and institutional complexity, anticipating challenges and aligning interests across diverse stakeholders.

Growth, Expansion & Impact

• Identify new use cases, pilots, and large-scale AI adoption programs in the public sector.

• Collaborate with technical and product teams to deliver customized solutions that address sovereignty, security, and operational needs.

• Negotiate upsell and cross-sell opportunities across ministries and agencies.

• Support expansion into adjacent government institutions and cross-border opportunities.

About you

• Experienced in managing strategic public sector or large enterprise accounts, with direct exposure to government bodies.

• Proven track record in multi-million-euro, multi-agency projects in politically complex environments.

• Experience working with deep tech solutions (AI, ML, cloud, large-scale data infrastructure), able to confidently engage CIOs, CDOs, CTOs, and technical leaders.

• Strong political acumen with the ability to navigate complex stakeholder networks, resolve tensions, and align divergent interests.

• Skilled at aligning technical product roadmaps with policy objectives, regulatory frameworks, and public procurement processes.

• Strong interpersonal skills — diplomatic, pragmatic, and trusted by senior stakeholders.

• Fluent in English (written & spoken); French or another EU language is a strong plus due to the regional scope.

Benefits

• Competitive cash salary and equity

• Food: Monthly meal allowance

• Sport: Monthly contribution to a Gympass subscription

• Transportation: Monthly contribution to your mobility (parking charges or public transport)

• Parental: Generous parental leave policy

• Visa sponsorship

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We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making.

Responsibilities:

• Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials

• Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives

• Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives

• Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations

• Establish and implement reporting dashboards and scorecards to track key operational and financial metrics

You may be a good fit if you have:

• 10+ years in experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking

• Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models

• Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges

• Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences

• Excitement about working in a fast-paced, dynamic environment and adapt well to change

• Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines

• Strong relationship building, business judgment, process management, and communication skills

• Are passionate about Anthropic's mission to build safe, transformative AI systems

Strong candidates may also have:

• GTM Finance Business Partnership experience

• A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking

• Experience with consumption-based and/or complex business models

• High knowledge of and interest in effective go-to-market strategies including deal-desk management

• Background in AI, ML, or related technologies

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 and workshops.

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We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making.

Responsibilities:

• Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
• Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives
• Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
• Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations
• Establish and implement reporting dashboards and scorecards to track key operational and financial metrics

You may be a good fit if you have:

• 10+ years in experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
• Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models
• Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
• Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
• Excitement about working in a fast-paced, dynamic environment and adapt well to change
• Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
• Strong relationship building, business judgment, process management, and communication skills
• Are passionate about Anthropic's mission to build safe, transformative AI systems

Strong candidates may also have:

• GTM Finance Business Partnership experience
• A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking
• Experience with consumption-based and/or complex business models
• High knowledge of and interest in effective go-to-market strategies including deal-desk management
• Background in AI, ML, or related technologies

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.

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Cursor is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective.

About the role

We’re looking for Research Engineers to build the training, inference, and data systems behind our frontier coding models. You’ll work directly with researchers to make progress repeatable and iteration fast.

What you’ll do

• Build our distributed training, inference, and RL infrastructure
• Write libraries to simplify how researchers do large-scale data jobs
• Architect the systems that turn Cursor user data into effective training data

You may be a fit if

• You have a strong infrastructure/distributed systems background
• You are able to architect and ship end-to-end with high ownership
• You have strong intuitions about how language models work
• You’re excited to learn more about ML

Name Email ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Will you now or in the future require visa sponsorship to work in the country where this position is located? * Has someone at Cursor referred you for this role? If so, please include their email here

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Cursor is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective.

About the role

We’re looking for Research Scientists who can drive effective RL or mid-training research in a small-team setting. You’ll own ambiguous, hard research problems end-to-end: forming hypotheses, designing experiments, building the training/eval/data needed to test them, and pushing results into the next model. You should expect significantly more scope and autonomy than in other research labs.

What you’ll do

• Improve our understanding of RL, what it takes to handle longer horizon tasks, and train with less compute

• Train graders to improve performance on coding tasks with non-verbal reward

• Improve the quality and difficulty of datapoints we use for training our models

• Realtime RL for coding agents

You may be a fit if

• You have a deep background in RL and strong machine learning fundamentals

• You’re an excellent programmer and software engineer

• You can handle ambiguous research tasks with little guidance

• You care a lot about data quality, and can dive into the data when appropriate

• You are truth-seeking, aiming to learn more about the science than proving your ideas are correct.

Name Email ↥ Upload file LinkedIn URL GitHub Profile

Please write a short note on a project you're proud of:

Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

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About the role

As a Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses.

Responsibilities

• Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues).
• Develop methods for streaming infinitely long video sequences at real-time rates.
• Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextual reactions.
• Improve lip-sync accuracy, motion realism, and overall visual quality in video diffusion models.
• Build robust evaluation frameworks and test suites to enable continuous quality tracking.
• Collaborate closely with our data team to define data needs and ensure high-quality datasets.
• Stay up to date with research in world models, interactive human/agent modeling, diffusion models, and related areas.

What we're looking for:

• Comfortable owning and executing on the responsibilities listed above.
• Strong ML (e.g., diffusion, GANs, VAEs) and computer vision background with relevant industry experience.
• Hands-on experience with diffusion models (ideally avatar-centric or video-focused) and up to date with recent advances.
• Proficient in PyTorch and familiar with modern ML frameworks and tooling.
• Strong Python engineering skills, confident with git and version control, and a commitment to clean, maintainable research code.
• Outcome-driven, detail-oriented, and motivated to push state-of-the-art research into real product impact.
• Clear communicator of hypotheses, experiments, and results.

What will make you stand out:

• Experience with audio-conditioned video diffusion models and deep knowledge of recent video DiT architectures.
• Demonstrated ability to own the full model development pipeline end to end, from data preparation to model design, training, and evaluation.
• A strong publication record in areas such as world models, interactive agents, or video diffusion models.

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.

The good stuff...

• Competitive compensation (salary + stock options + bonus)
• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
• 25 days of annual leave + public holidays
• Great company culture with the option to join regular planning and socials at our hubs
• \+ other benefits depending on your location

You can see more about Who we are and How we work here: https://www.synthesia.io/careers

LI-MD1

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Microsoft AI are looking for a talented Member of Technical Staff - Copilot AI Evaluation Engineering Manager at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Copilot AI Evaluation Engineering Manager, you will lead building our LLM evaluation solutions for Copilot. You'll work in a deeply iterative, collaborative, fast-paced environment to improve our technology for millions of users around the world. You will lead a team of talented software engineers and applied AI engineers to deliver world-class evaluation solutions that are secure, reliable, and scalable, while collaborating closely with cross-functional teams including Product and Research.

Accountabilities

• Hire, manage, and lead a team of software engineers, AI engineers, and machine learning engineers responsible for delivering world-class LLM evaluation solutions.
• Collaborate with Eng and Product leadership to prioritize features and improve our world-class AI companion to the world.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Hands on experience with ML and/or AI evaluation.

Personal attributes:

• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.

Benefits

• Software Engineering M5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation.

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What you'll do

• Develop AI-based foundations and services that allow the Frostbite community to benefit from agentic developer workflows.
• Provide secure and scalable solutions for all stages of the software development lifecycle, including spec-driven coding, validation and releasing.
• Pilot new AI capabilities to assess their impact on developer efficiency and quality.

What you need

• 4+ years of job experience in a hands-on coding role using languages like Python, C# or C++.
• 1+ years of experience using generative AI software engineering solutions such as GitHub CoPilot.
• Proficiency in good development practices (version control, code reviews) and validation (static code analysis, unit testing, CI/CD pipelines).

Why this matters

This role is a key part of Electronic Arts' efforts to transform software engineering and quality processes with the power of generative AI, agents and context engineering. By contributing to this work, you will have a direct impact on the quality and efficiency of game development at Electronic Arts.

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