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

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

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

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

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

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

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

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

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Responsibilities:

• Lead end-to-end sourcing strategies for technical roles across engineering, data, product, AI, and other specialized functions.
• Conduct market research, competitive intelligence, and talent mapping to inform hiring strategies and pipeline development.
• Proactively identify and engage passive candidates through creative outreach across platforms such as LinkedIn, GitHub, and other talent networks.
• Partner closely with recruiters and hiring managers to align on candidate profiles, calibrate talent, and refine search strategies.
• Build and nurture long-term talent pipelines for critical and hard-to-fill roles, including future-facing skill sets.
• Champion diversity sourcing initiatives to attract underrepresented technical talent.
• Track, analyze, and report on sourcing metrics to continuously optimize outreach effectiveness and pipeline health.
• Maintain accurate candidate data and activity tracking within recruiting systems and dashboards.
• Contribute to process improvements, sourcing best practices, and knowledge sharing within the recruiting team.

Requirements:

• 3+ years of experience sourcing for technical roles in a fast-paced, high-growth environment.
• Demonstrated expertise in advanced sourcing techniques, Boolean search, talent mapping, and market research.
• Strong understanding of technical skill sets, engineering org structures, and emerging technology trends.
• Proven ability to engage and convert passive candidates through thoughtful, personalized outreach.
• Excellent communication and stakeholder management skills, with the ability to influence and build trust with technical leaders.
• Data-driven mindset with experience using sourcing metrics to refine strategy and improve results.
• Ability to manage multiple high-priority searches simultaneously while maintaining quality and attention to detail.

Bonus points:

• Experience sourcing for AI/ML, agentic AI, or other emerging technical domains.
• Experience recruiting or sourcing across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with tools such as Gem, Greenhouse, or other modern sourcing and CRM platforms.
• Experience contributing to employer branding, talent marketing, or community-building initiatives.

Compensation: The expected salary range for this role is $108,819-$158,200.

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Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities:

• Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs
• Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities
• Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency
• Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are:

We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory , you've built things that changed how real work gets done. You can build in real time alongside the people you support.
• You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Stripe.
• You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements:

• 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)
• Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you've helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting ~20 marketers at varying stages of their AI journey)

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You will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud.

Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing. This is not a purely reactive enablement role. The Partner SA is expected to help shape and execute repeatable partner plays that create revenue.

That includes enabling partner sellers and architects, supporting account mapping and seller-to-seller engagement, helping define joint value propositions, supporting partner-led pipeline generation, and influencing product and field strategy based on what is learned in-market.

Internal operating docs show this motion consistently includes enablement sessions, QBR sponsorships, account planning, workshops, field events, and targeted campaigns designed to produce sourced and influenced pipeline.

You'll be part of a team helping dbt scale its ecosystem through better partner capability, tighter field alignment, and more repeatable pipeline generation. The role is especially important as dbt continues investing in structured partner motions and deeper engagement with major cloud and data platform partners.

What you'll do:

• Partner closely with Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.

• Build trusted technical relationships with partner architects, sellers, and practice leaders

• Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness

• Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline

• Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption

• Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, lunch-and-learns, hands-on labs, and local field events

• Equip partner teams with the technical messaging, demo narratives, architectures, and customer use cases needed to position dbt effectively

• Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts

• Act as a technical bridge between partners and dbt Product / Engineering by surfacing integration gaps, field feedback, competitive insights, and roadmap opportunities

• Serve as an internal subject matter expert on dbt’s major technology partner ecosystem, especially Snowflake, Databricks, and Google Cloud

• Contribute to the scale motion by helping build collateral, playbooks, enablement assets, and best practices that raise the bar across the broader Partner SA function

• Travel approximately 30-40% to support partner planning, enablement, executive meetings, and field events across Japan

This scope reflects how the Partner SA team is already operating: enabling partner field teams, building account-level alignment, supporting QBRs and regional events, and translating those activities into sourced and engaged pipeline.

What you'll need:

• 5+ years of experience in solutions architecture, sales engineering, consulting, partner engineering, or another customer-facing technical role in data and analytics

• Strong hands-on background in SQL, data modeling, analytics engineering, and modern data platforms

• Ability to clearly explain modern data stack architectures and how dbt fits across warehouses, lakehouses, semantic layers, and AI-oriented workflows

• Experience translating technical capabilities into clear business value for both technical and non-technical audiences

• Comfort operating in highly cross-functional environments across Sales, Partnerships, Product, and Marketing

• Strong presentation, workshop, and facilitation skills, including external enablement and customer-facing sessions

• Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders

• Experience supporting complex enterprise buying motions, proof-of-value work, or partner-influenced sales cycles

• Strong written communication skills for building collateral, technical narratives, and partner-facing content

• A collaborative mindset and a desire to help scale best practices across a growing team

What will make you stand out:

• Experience working directly in partner, alliance, or ecosystem roles

• Experience with Snowflake, Databricks, BigQuery / Google Cloud, AWS, or Microsoft Fabric in a GTM or solutions context

• Experience enabling systems integrators, consulting firms, or technology partner field teams

• Familiarity with cloud marketplace motions, co-sell programs, and partner-sourced pipeline generation

• Prior experience with dbt, analytics engineering workflows, or adjacent tooling in transformation, orchestration, governance, or metadata

• Strong instincts for identifying repeatable plays that connect enablement activity to measurable pipeline outcomes

• Ability to influence both strategy and execution, from partner messaging and field enablement to product feedback and GTM refinement

• A track record of building credibility quickly with partner sellers, partner architects, and internal field teams

What to expect in the interview process (all video interviews unless accommodations are needed):

• Interview with Talent Acquisition Partner

• Interview with Hiring Manager

• Team Interviews

• Demo Round

#LI-LA1

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Responsibilities:

• Work directly with technical leaders to deeply understand the hiring requirements for their team
• Own full-cycle recruiting for technical roles, including sourcing, assessment, closing, and candidate experience
• Build deep understanding of candidate motivations, decision drivers, and long-term goals to effectively guide and close top talent
• Maintain a strong sense of urgency while preserving quality and judgement
• Continuously improve recruiting processes to increase signal, speed, and candidate quality
• Leverage data to: increase candidate ROI, increase candidate conversion rates, build more efficient processes, keep stakeholders informed of hiring trends, and monitor hiring pace
• Proactively source candidates through creative research, networks, and direct outreach
• Ensure an exceptional candidate experience every step of the candidate journey

Basic Qualifications:

• 5+ years of experience recruiting for technical roles at fast-paced, hyper-growth environments, whether it be agency or in-house
• Strong understanding of the technical talent landscape and how top talent evaluates opportunities
• Demonstrated success sourcing and closing highly competitive technical candidates
• Outcome-oriented recruiter with strong analytical skills and a proven track record of data-driven decision-making with the ability to thrive in ambiguity
• Highly thoughtful communicator who considers message, context, and candidate’s perspective

Preferred Skills and Experience:

• Exceptional judgement and intellectual curiosity
• Strong sense of ownership and accountability for outcomes
• Genuine alignment with xAI’s mission and a strong desire to contribute to it
• Experience working with Greenhouse ATS
• Experience supporting hiring events and driving various actions post event to understand ROI

Compensation and Benefits:

$130,000 - $210,000 USD

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

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

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The ideal candidate will have 7+ years of experience in competitive intelligence, product marketing, product strategy, GTM strategy, or a technical role within cloud/infra/AI. They will have strong technical and economic fluency, demonstrated ability to produce crisp POVs that influence senior decision-making, and experience creating enablement assets that drive adoption.

As a key member of the team, the Senior Product Marketing Manager will partner closely with Product, Engineering, Sales/GTM, Analytics, and AR to turn competitive movement into clear implications for what we reinforce, counter, or ignore. They will provide inputs to messaging, launches, and campaigns, including claim risk checks and differentiation guidance.

The base salary range for this role is $161,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

We offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid Life Insurance, Voluntary supplemental life insurance, Short and long-term disability insurance, Flexible Spending Account, Health Savings Account, Tuition Reimbursement, Ability to Participate in Employee Stock Purchase Program (ESPP), Mental Wellness Benefits through Spring Health, Family-Forming support provided by Carrot, Paid Parental Leave, Flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, Flexible PTO, Catered lunch each day in our office and data center locations, A casual work environment, A work culture focused on innovative disruption.

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This role requires creativity, persistence, and strong business acumen to engage passive candidates and position Brex as an employer of choice. You'll also play a key role in strengthening our diversity sourcing strategies and continuously improving sourcing processes and tools.

Responsibilities:

• Lead end-to-end sourcing strategies for technical roles across engineering, data, product, AI, and other specialized functions.
• Conduct market research, competitive intelligence, and talent mapping to inform hiring strategies and pipeline development.
• Proactively identify and engage passive candidates through creative outreach across platforms such as LinkedIn, GitHub, and other talent networks.
• Partner closely with recruiters and hiring managers to align on candidate profiles, calibrate talent, and refine search strategies.
• Build and nurture long-term talent pipelines for critical and hard-to-fill roles, including future-facing skill sets.
• Champion diversity sourcing initiatives to attract underrepresented technical talent.
• Track, analyze, and report on sourcing metrics to continuously optimize outreach effectiveness and pipeline health.
• Maintain accurate candidate data and activity tracking within recruiting systems and dashboards.
• Contribute to process improvements, sourcing best practices, and knowledge sharing within the recruiting team.

Requirements:

• 3+ years of experience sourcing for technical roles (e.g., software engineering, infrastructure, data, product, AI) in a fast-paced, high-growth environment.
• Demonstrated expertise in advanced sourcing techniques, Boolean search, talent mapping, and market research.
• Strong understanding of technical skill sets, engineering org structures, and emerging technology trends.
• Proven ability to engage and convert passive candidates through thoughtful, personalized outreach.
• Excellent communication and stakeholder management skills, with the ability to influence and build trust with technical leaders.
• Data-driven mindset with experience using sourcing metrics to refine strategy and improve results.
• Ability to manage multiple high-priority searches simultaneously while maintaining quality and attention to detail.

Bonus points:

• Experience sourcing for AI/ML, agentic AI, or other emerging technical domains.
• Experience recruiting or sourcing across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with tools such as Gem, Greenhouse, or other modern sourcing and CRM platforms.
• Experience contributing to employer branding, talent marketing, or community-building initiatives.

Compensation: The expected salary range for this role is CA$96,300–$140,000.

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This role requires creativity, persistence, and strong business acumen to engage passive candidates and position Brex as an employer of choice. You'll also play a key role in strengthening our diversity sourcing strategies and continuously improving sourcing processes and tools.

As a Senior Technical Sourcer, you will lead end-to-end sourcing strategies for technical roles across engineering, data, product, AI, and other specialized functions. You'll conduct market research, competitive intelligence, and talent mapping to inform hiring strategies and pipeline development. You'll proactively identify and engage passive candidates through creative outreach across platforms such as LinkedIn, GitHub, and other talent networks.

You'll partner closely with recruiters and hiring managers to align on candidate profiles, calibrate talent, and refine search strategies. You'll build and nurture long-term talent pipelines for critical and hard-to-fill roles, including future-facing skill sets. You'll champion diversity sourcing initiatives to attract underrepresented technical talent.

You'll track, analyze, and report on sourcing metrics to continuously optimize outreach effectiveness and pipeline health. You'll maintain accurate candidate data and activity tracking within recruiting systems and dashboards. You'll contribute to process improvements, sourcing best practices, and knowledge sharing within the recruiting team.

Requirements:

• 3+ years of experience sourcing for technical roles (e.g., software engineering, infrastructure, data, product, AI) in a fast-paced, high-growth environment.
• Demonstrated expertise in advanced sourcing techniques, Boolean search, talent mapping, and market research.
• Strong understanding of technical skill sets, engineering org structures, and emerging technology trends.
• Proven ability to engage and convert passive candidates through thoughtful, personalized outreach.
• Excellent communication and stakeholder management skills, with the ability to influence and build trust with technical leaders.
• Data-driven mindset with experience using sourcing metrics to refine strategy and improve results.
• Ability to manage multiple high-priority searches simultaneously while maintaining quality and attention to detail.

Bonus points:

• Experience sourcing for AI/ML, agentic AI, or other emerging technical domains.
• Experience recruiting or sourcing across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with tools such as Gem, Greenhouse, or other modern sourcing and CRM platforms.
• Experience contributing to employer branding, talent marketing, or community-building initiatives.

Compensation: The expected salary range for this role is $108,819-$158,200. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Your responsibilities will include:

• Community Listening & Trend Response: Dedicate time to actively monitoring developer conversations on platforms like Twitter/X, Reddit, and Hacker News. You will identify emerging trends in identity/security and mentions of Auth0, converting these insights into immediate opportunities.
• Own Auth0's Developer Presence on X and Beyond: Be the primary voice representing Auth0 in real-time developer conversations on X, as well as Reddit, Hacker News, Bluesky, and other platforms where developers gather. Post regularly, engage authentically, and build a consistent presence that developers actually want to follow.
• Turn Social Into a Feedback Channel: Systematically capture developer pain points, feature requests, praise, and criticism from public conversations and route them to Product, Engineering, and Marketing with context.
• Create Fast-Cycle, High-Signal Content: Write threads, short posts, quick takes, and lightweight explainers that ride the moment. When a topic is trending, you should be able to ship something valuable within hours, not weeks.
• Collaborate With Internal Teams: Work closely with Product, Engineering, Developer Relations, and Marketing to ensure that what you're seeing externally informs what we build and how we talk about it.

To succeed in this role, you will need:

• Experience: 4+ years in developer advocacy, developer relations, or a community-facing technical role, with clear evidence of sustained public engagement with developer audiences.
• Established Social Presence: You have an active, authentic presence on X (and ideally other developer platforms). You don't need to be famous, but you should have a track record of engaging meaningfully in technical conversations and a following that reflects that.
• Technical Credibility: You can hold your own in a conversation about JavaScript/TypeScript frameworks, authentication flows, API design, or web architecture. You don't need to be a senior engineer, but developers should never feel like they're talking to a marketer.
• Speed and Editorial Judgment: You can assess whether something is worth responding to, draft something sharp, and ship it; all within a short window.
• Communication: Exceptional written English with a voice that feels natural on social platforms, clear, opinionated when appropriate, technically honest, and never corporate.

Preferred qualifications include domain knowledge of Identity protocols (OAuth 2.0, OIDC, SAML) and web security best practices, content versatility in producing short-form video for social distribution, and network in the ecosystem with existing relationships or mutual recognition with developers, advocates, or creators in the JavaScript, full-stack, or security communities.

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We're looking for a highly skilled Member of Technical Staff to join our team at xAI. As a key member of our team, you will design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments.

Responsibilities:

• Design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments
• Develop secure, scalable solutions for use cases such as policy analysis, edtech, scientific research support, public health modeling, regulatory workflows, and citizen-facing services across diverse global contexts
• Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for international government and enterprise developers
• Partner with international agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback, including during on-site assignments
• Contribute to safe deployment practices, including red-teaming, bias evaluation, output filtering, and explainability features for high-stakes non-classified applications in varied regulatory landscapes
• Fine-tune and adapt xAI models for specific international government use cases, incorporating custom guardrails and evaluation frameworks to ensure alignment with mission objectives and ethical guidelines
• Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact

Basic Qualifications:

• 4+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency required; other languages a plus)
• Experience fine-tuning AI models for government or mission-critical use cases, including building evaluations and ensuring safety and performance
• Experience deploying complex AI and data systems in sovereign environments, ensuring compliance with international regulations for technology and AI in government or public sector settings
• Willingness and ability to undertake travel and international assignments to regions such as the Americas, Asia, and the Middle East and potentially more.
• Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions
• Demonstrated ability to write clean, maintainable, high-performance code under tight timelines
• Exceptional problem-solving skills and intellectual curiosity,you thrive on hard, ambiguous challenges
• Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely

Preferred Skills and Experience:

• Prior work on AI safety, governance, red-teaming, or responsible AI deployment
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration
• Background in policy-adjacent technical roles, civic tech, or public-interest technology with an international focus
• Contributions to open-source AI projects or developer tools

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About the Role:

As the manager of the Industries Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go-to-market organisation. Our Industries customers include Fortune 500 companies within verticals like financial services, healthcare life sciences, and retail.

Responsibilities:

• Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.
• Set goals for your team in collaboration with sales and other parts of the organisation that establish baseline expectations for performance.
• Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution.
• Partner closely with Industries sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.
• Work with cross-functional teams like product and engineering to ensure Anthropic prioritises customer feedback or resolves blockers to adoption.
• Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.
• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products.
• Contribute to thought leadership through conference presentations, webinars, and technical content creation.
• Stay current with emerging AI/ML trends and the competitive landscape.

Requirements:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.
• 3+ years of technical pre-sales management experience.
• Have sold complex technical products to Fortune 500 companies, especially in verticals like financial services, healthcare life sciences, and retail.
• Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments.
• Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments.
• Have excellent communication, collaboration, and coaching abilities.
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at Fortune 500 companies.
• Have at least a high level familiarity with the architecture and operation of LLMs.
• Have a passion for making powerful technology safe and societally beneficial.
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.

Preferred Qualifications:

• Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments.
• AI Technical Depth + Executive Engagement: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles.
• Multi-Segment GTM Experience: Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100).

Salary: The annual compensation range for this role is $270,000-$345,000 USD.

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Head of Solutions Architects, Applied AI (Korea)

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organisations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities

• Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Korean enterprise customers
• Contribute to thought leadership through conference presentations, webinars, and technical content creation
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes
• Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
• Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector

Requirements

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Native or business-level fluency in Korean and professional proficiency in English
• Experience working with Korean enterprise customers and understanding local business culture and decision-making processes
• Experience with the unique technical requirements and technical procurement process of enterprise tech companies
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment
• Have excellent communication, collaboration, and coaching abilities
• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Make ambiguous problems clear and identify core principles that can translate across scenarios
• Have a passion for making powerful technology safe and societally beneficial
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

Benefits

• Competitive salary and benefits package
• Opportunity to work with a talented and diverse team
• Professional development and growth opportunities
• Flexible work arrangements

How to Apply

If you're interested in this opportunity, please submit your resume and a cover letter explaining why you're a great fit for this role. We can't wait to hear from you!

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You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities:

• Hire, manage and mentor a team of Applied AI Architects for Northern Europe, providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products
• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with and selling to large enterprise customers across multiple verticals
• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)
• A proven knowledge of the Northern European market and its local specificities (regulatory, cultural, technical…)
• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and/or scoping large enterprise adoption programs
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments
• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment
• Excellent communication, collaboration, and coaching abilities
• Comfort dealing with highly uncertain, ambiguous, and fast-moving environments
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• High-level familiarity with the architecture and operation of LLM and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios
• A passion for making powerful technology safe and societally beneficial
• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks
• A track record of staying current with emerging AI research and industry trends or similar.

Strong candidates may also have:

• 10+ years technical experience
• 5+ years managing AI technical teams in hypergrowth (ideally from 10 to 50+)
• Previous experience leading solutions architect or pre-sales teams through rapid growth
• Proven experience and understanding across all key non-tech industry verticals, in particular the regulated industries: Financial Services, Insurance, Healthcare, Life Sciences, Telco, Retail, Consumer Goods, Manufacturing, Oil & Gas, etc.
• In addition to English, native or fluency in a Northern European language
• Demonstrated experience in defining and delivering enterprise AI use cases in regulated industries: e.g, Banking, Insurance, Healthcare and Life sciences
• Track record of building technical playbooks and assets that scale across diverse customer segments
• Understanding of both digital-native technical requirements (API integration, developer experience) and traditional enterprise needs (security, compliance, change management)
• Background at enterprise AI software or API-first companies serving large enterprise customers
• Proven experience building a Northern European AI team

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You will serve as the primary bridge between international government stakeholders and xAI's engineering, research, and product teams,driving adoption of AI for civilian and public-sector use cases such as policy analysis, public health modelling, education, scientific research support, regulatory workflows, disaster response, and citizen services.

Responsibilities:

• Lead problem discovery, requirements gathering, and product scoping with key South American government customers and organisations, often on-site during international assignments and travel.
• Support the full lifecycle of engagements: from initial outreach and proposal development through solution design, prototyping, deployment, integration, and ongoing optimisation.
• Meet customers on-site to deploy xAI models/products in their environments, integrate with existing systems, or enable cloud-based access,working closely alongside applied engineers and technical teams.
• Identify customer pain points, translate mission needs into technical specifications, and collaborate with xAI teams to customise or build LLM-powered solutions tailored to regional priorities.
• Ensure solutions comply with relevant international and regional regulations (e.g., data protection, sovereignty, and ethical AI guidelines).
• Analyse system performance (logs, prompts, outputs) to drive reliability, effectiveness, and continuous improvement.
• Build and maintain strong relationships with government stakeholders, multilateral organisations, and partners across South America.
• Contribute to new business development, including preparing proposals, demos, and strategic roadmaps aligned with xAI's capabilities

Basic Qualifications:

• Proven experience partnering with international government agencies, regional/local administrations, multilateral organisations, or public-sector entities on AI, software, data, or technology initiatives (experience in South America or Latin American markets strongly preferred).
• 5+ years in government relations, public sector consulting, solution engineering, product management, or customer-facing technical roles,ideally involving complex deployments or enterprise-scale AI/software projects.
• Strong understanding of AI applications in public sector contexts (e.g., policy, healthcare, education, environment, or emergency management).
• Excellent communication and presentation skills; ability to translate technical concepts for non-technical government audiences and vice versa.
• Willingness and ability to travel internationally (primarily South America, up to 30-50% as needed).
• Bachelor's degree or equivalent experience in a relevant field (e.g., international relations, computer science, public policy, engineering)

Preferred Skills and Experience:

• Direct experience working with South American governments or organisations (e.g., Argentina, Chile, Colombia, Peru, Honduras or multilateral bodies like OAS/IDB).
• Familiarity with regional data protection regulations, sovereignty requirements, or ethical AI frameworks in Latin America.
• Technical background (e.g., experience with LLMs, APIs, cloud deployments, or data analysis) or proven ability to work closely with engineering teams.
• Fluency in Spanish and/or Portuguese (in addition to English) is highly desirable.
• Track record of delivering high-impact projects under tight timelines in dynamic or resource-constrained environments

Compensation and Benefits: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks

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Key responsibilities include:

• Providing technical focus and leadership on a particular R&D topic, such as gate calibration, qubit relaxation and/or dephasing, piloting new research ideas in small processors, integration of new ideas into large processors, or implementation of quantum error correction.

• Collaborating across diverse teams of expert engineers to turn experimental concepts into robust technologies that work at large QPU scales.

• Staying current with cutting-edge research, synthesizing results from the literature, and implementing state-of-the-art calibration, error diagnostic, and system optimization techniques to enhance device performance.

Required qualifications include:

• PhD in Physics or similar applied scientific field, or Masters' in Physics with 2+ years relevant industry experience.

• Demonstrated abilities in experimental problem solving and experimental research.

• Expertise in the practical implementation of coherent quantum effects and control.

• Proficiency using Python in a scientific context.

• Ability to thrive in a strongly collaborative environment, with a team-first mindset.

Nice to have qualifications include:

• Experience calibrating and characterizing single- and two-qubit quantum gates in superconducting quantum devices.

• Experience utilizing quantum simulation frameworks, such as QuTip.

• Proven capability to execute and effectively communicate outcomes from innovative research and development initiatives.

• Software development experience in a collaborative industry setting.

• Previous technical role in an industrial or startup setting.

Additional information:

• As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers.

• Applications from women, minorities, and other under-represented groups are encouraged.

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The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid's products and internal platforms.

Responsibilities

• Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.
• Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.
• Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.
• Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.
• Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.
• Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.
• Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.
• Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.

Requirements

• 6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.
• Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.
• Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services,enough to engage credibly with engineers on design, tradeoffs, and cost drivers.
• Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.
• Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.
• Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.
• Demonstrated success driving adoption and behavior change,embedding cost awareness into day-to-day engineering workflows, not just producing reports.
• Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.
• Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).
• Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.

Nice to Haves

• Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).
• Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.
• Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.
• Experience improving data models or pipelines that support analytics, reporting, or financial attribution.
• Familiarity with BI tools such as Mode, Tableau, Looker, or similar,and a strong eye for dashboard usability and design.
• Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.
• Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system.

We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

Responsibilities

• Design and develop custom finance systems and data pipelines from scratch.
• Integrate with existing internal and external systems (banking, accounting, trading, HRIS).
• Automate finance workflows: FP&A models, management accounts, payments, invoice recognition (AI-powered), and reporting.
• Rapidly prototype and deploy tools that solve complex operational challenges.
• Collaborate with software engineers and finance team members to implement scalable, secure, and reliable systems.
• Own end-to-end delivery of technical finance products that materially improve performance and control.
• Lead continuous improvement of our internal finance stack as Fuse expands across markets and products.

Requirements

• STEM background (Computer Science, Engineering, Maths, or similar).
• 2–5 years of experience in a technical role in a startup, fintech, or finance-driven business.
• Strong coding and data skills. Comfortable designing systems, building APIs, and automating workflows.
• Strong understanding of data pipelines, system integrations, and finance workflows.
• Comfortable designing from zero, iterating quickly, and delivering production-ready tools.
• High intellectual curiosity and desire to deeply understand how a business operates.
• Exceptional problem-solving ability and bias toward action.
• Extremely high work ethic. This is an intense, hands-on role in a fast-moving environment.

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

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

You Are:

You are a skilled and passionate engineer with expertise in system design, embedded firmware, digital design, and verification with over 8+ years of experience. You are a skilled engineer with technical leadership, strategic thinking, and ability to model, architect, and validate mixed-signal SoC development, seeking to make a tangible impact in the semiconductor industry. You value collaboration and mentorship, welcoming opportunities to both learn from and share knowledge with your peers. Your experience with memory interface protocols such as DDR, LPDDR and HBM enables you to quickly contribute to our next-generation solutions.

Technical knowledge in latest DDR, LPDDR, MRDIMM and DFI protocols, with a proven track record in working successfully in IP product developments while focused on verification. You thrive in a matrixed, international, and team-oriented environment with multiple stakeholders. Work hands-on, having a collaborative mindset, thinking clearly and concisely when capturing requirements, and maintaining a proactive attitude to achieve results. You are passionate about right first-time development, ensuring traceability of all verification requirements and covering the whole ecosystem of Controller and PHY.

You bring knowledge of system, digital, firmware design, high-speed memory interface skills. Your experience includes delivering "best-in-class" solutions for protocols like DDR, LPDDR, and HBM. You are highly proficient in creating and using robust verification environments using UVM methodology and System Verilog, and you leverage system level modeling using advanced tools such as MATLAB and scripting languages, Perl, Python, and C++ to automate design and validation flows.

What You’ll Be Doing:

• Developing and optimizing embedded firmware for advanced DDR/LPDDR/HBM memory interface PHYs
• Contributing and collaborating with hardware teams to analyze and debug embedded firmware
• Optimizing and developing new PHY training algorithms using system level modeling tools
• Collaborating closely with analog, digital, and hardware teams to ensure overall system integrity
• Bridging the gap between pre- and post-silicon verification to ensure best-in-class customer support
• Developing and deploying tests on silicon as part of bring up plan with extensive knowledge of the design internals
• Reproducing silicon failures on FPGA/Emulation to identify root causes
• Fostering technical excellence and knowledge sharing across the organization.

The Impact You Will Have:

• Enhancing cross-functional collaboration to improve product quality and end customer satisfaction.
• Evolving/adopting and integrating best-in-class methodologies within the organization for fast silicon bring-up
• Standardizing and optimizing workflows to increase efficiency and compliance.
• Accelerating product innovation and time-to-market by establishing best practices to bridge the gap between architecture and physical implementation using system modeling, functional simulation emulation, and system integration.
• Directly impact customer success by providing guidance, technical support, and innovative solutions.
• Champion diversity and inclusion, ensuring a respectful and opportunity-rich workplace for all team members.

What You’ll Need:

• 8+ years of experience in Firmware, ASIC design, verification, system validation, and technical roles.
• Be results driven
• Proven leadership in developing, optimizing, and verifying SW/HW using UVM-based co-verification environment.
• Advanced scripting proficiency in Shell, Perl, Python, and C++ for workflow automation and process improvement.
• In-depth knowledge of system-level validation for high-speed interface PHY
• Proven track record of working cross-functionally and driving issues to closure
• Knowledge of mixed-signal design
• Experience in working in cross-functional collaborations
• Be an excellent communicator and a beacon for change

Rewards and Benefits:

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

Inclusion and Diversity:

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

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As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organisations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities:

• Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Korean enterprise customers

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

• Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Native or business-level fluency in Korean and professional proficiency in English

• Experience working with Korean enterprise customers and understanding local business culture and decision-making processes

• Experience with the unique technical requirements and technical procurement process of enterprise tech companies

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

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

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry

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

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

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

• Make ambiguous problems clear and identify core principles that can translate across scenarios

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

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

• Stay up-to-date and informed by taking an active interest in emerging research and industry trends

• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

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You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic's products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements.

You will hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. You will set goals for your team in collaboration with sales and other parts of the organisation that establish baseline expectations for performance.

You will act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. You will partner closely with Industries sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.

You will work with cross-functional teams like product and engineering to ensure Anthropic prioritises customer feedback or resolves blockers to adoption. You will travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.

You will establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. You will contribute to thought leadership through conference presentations, webinars, and technical content creation. You will stay current with emerging AI/ML trends and the competitive landscape.

You may be a good fit if you have 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. You will have 3+ years of technical pre-sales management experience. You will have sold complex technical products to Fortune 500 companies, especially in verticals like financial services, healthcare life sciences, and retail.

You will have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. You will thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. You will have excellent communication, collaboration, and coaching abilities.

You will have strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at Fortune 500 companies. You will have at least a high level familiarity with the architecture and operation of LLMs. You will have a passion for making powerful technology safe and societally beneficial.

You will stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.

Strong candidates may have experience in enterprise pre-sales leadership at scale, AI technical depth, and executive engagement. They may have multi-segment GTM experience and a proven track record adapting technical approaches across customer segments.

The annual compensation range for this role is $270,000 - $345,000 USD.

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As the Manager of the Applied AI Architect team for Northern European Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across our Industries accounts: large enterprises across all non-tech verticals in the UK, Ireland and the Nordics.

You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities

• Hire, manage and mentor a team of Applied AI Architects for Northern Europe, providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products
• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with and selling to large enterprise customers across multiple verticals
• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)
• A proven knowledge of the Northern European market and its local specificities (regulatory, cultural, technical…)
• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and/or scoping large enterprise adoption programs
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments
• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment
• Excellent communication, collaboration, and coaching abilities
• Comfort dealing with highly uncertain, ambiguous, and fast-moving environments
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• High-level familiarity with the architecture and operation of LLM and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios
• A passion for making powerful technology safe and societally beneficial
• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks
• A track record of staying current with emerging AI research and industry trends or similar.

Strong candidates may also have:

• 10+ years technical experience
• 5+ years managing AI technic

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As the Manager of the Applied AI Architect team for DACH Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across our Industries accounts: large enterprises across all non-tech verticals in Germany, Switzerland and Austria.

You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities

• Hire, manage and mentor a team of Applied AI Architects for DACH, providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products

• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

• Travel to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Stay current with emerging AI/ML trends and competitive landscape across all major Industries verticals

You may be a good fit if you have:

• 7+ years of experience as an Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Experience working with and selling to large enterprise customers across multiple verticals

• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)

• A proven knowledge of the DACH market and its local specificities (regulatory, cultural, technical…)

• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and or scoping large enterprise adoption programs

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

• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments

• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment

• Excellent communication, collaboration, and coaching abilities

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

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

• High-level familiarity with the architecture and operation of LLM and/or ML in general

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

• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios

• A passion for making powerful technology safe and societally beneficial

• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks

• A track record of staying current with emerging AI research and industry trends

Strong candidates may also have:

• 10+ years technical experience

• 5+ years managing AI technical teams in hypergrowth

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Manager, AI Success Engineers - NYC

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $266K – $295K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The AI Success Engineering team turns breakthrough AI products into enterprise-scale impact. We partner closely with customers to move from experimentation to real-world transformation, owning adoption, technical readiness, and long-term value realization. The team accelerates delivery in production and shapes how OpenAI’s products drive measurable business outcomes. We work cross-functionally with Sales, Solutions Architecture, Technical Success, and Product to bring frontier AI safely and successfully to market.

About the Role

We are seeking a senior technical leader to manage and scale a high-performing team of AI Success Engineers. This team owns post-sale technical success for ChatGPT Enterprise, driving customer onboarding, activation, and adoption through structured programs, enablement, and change-management playbooks.

AI Success Engineers are deeply technical and hands-on, supporting customers with advanced capabilities including connectors, Codex, custom GPTs, and other frontier features as they are released. They partner closely with customer stakeholders to ensure solutions are deployed effectively, adopted broadly, and delivering real business impact.

In this role, you will set team strategy, ensure strong execution and technical rigor, and build mechanisms that enable scale, consistency, and operational excellence—while staying close to customers and the field.

This role is based in New York or San Francisco and follows a hybrid schedule of three days per week in office. Regional travel is expected.

In This Role, You Will

• Own the strategy and operating model for the AI Success Engineering team, ensuring alignment with OpenAI’s objectives and customer needs

• Hire, lead, mentor, and develop a high-performing team of AI Success Engineers with strong technical foundations and customer impact

• Oversee successful post-sale adoption of OpenAI products across enterprises, digital-native companies, and high-growth organizations

• Ensure technical readiness and adoption of advanced OpenAI capabilities, partnering closely with customers on real-world use cases

• Represent the voice of the customer to inform product development and commercial strategy

• Establish operating rhythms (e.g., leadership rollups, knowledge-sharing forums, best-practice exchanges) to drive consistency and scalability

• Build scalable programs, playbooks, and operating mechanisms that support long-term customer success

• Partner cross-functionally with Sales, Solutions Architecture, Solutions Engineering, and Product to deliver a unified customer experience

You’ll Thrive in This Role If You

• Have 8+ years of experience leading technical teams, including 3+ years managing post-sales technical roles such as customer engineering, solutions engineering, deployment, or professional services in enterprise SaaS or AI environments

• Have a proven track record scaling technical teams and operating models in high-growth environments

• Have experience designing or owning coverage models, staffing strategies, and engagement frameworks for post-sales technical teams

• Can engage and influence executive stakeholders within complex, global organizations

• Are a strong communicator who can bridge technical depth and business outcomes

• Have experience with Generative AI (preferred) or adjacent SaaS platforms

• Operate with humility, ownership, and a bias toward action to ensure customer and team success

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 are committed to researching and developing AI in a responsible way.

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Manager, AI Success Engineers - San Francisco

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $266K – $295K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The AI Success Engineering team turns breakthrough AI products into enterprise-scale impact. We partner closely with customers to move from experimentation to real-world transformation, owning adoption, technical readiness, and long-term value realization. The team accelerates delivery in production and shapes how OpenAI’s products drive measurable business outcomes. We work cross-functionally with Sales, Solutions Architecture, Technical Success, and Product to bring frontier AI safely and successfully to market.

About the Role

We are seeking a senior technical leader to manage and scale a high-performing team of AI Success Engineers. This team owns post-sale technical success for ChatGPT Enterprise, driving customer onboarding, activation, and adoption through structured programs, enablement, and change-management playbooks.

AI Success Engineers are deeply technical and hands-on, supporting customers with advanced capabilities including connectors, Codex, custom GPTs, and other frontier features as they are released. They partner closely with customer stakeholders to ensure solutions are deployed effectively, adopted broadly, and delivering real business impact.

In this role, you will set team strategy, ensure strong execution and technical rigor, and build mechanisms that enable scale, consistency, and operational excellence—while staying close to customers and the field.

This role is based in New York or San Francisco and follows a hybrid schedule of three days per week in office. Regional travel is expected.

In This Role, You Will

• Own the strategy and operating model for the AI Success Engineering team, ensuring alignment with OpenAI’s objectives and customer needs

• Hire, lead, mentor, and develop a high-performing team of AI Success Engineers with strong technical foundations and customer impact

• Oversee successful post-sale adoption of OpenAI products across enterprises, digital-native companies, and high-growth organizations

• Ensure technical readiness and adoption of advanced OpenAI capabilities, partnering closely with customers on real-world use cases

• Represent the voice of the customer to inform product development and commercial strategy

• Establish operating rhythms (e.g., leadership rollups, knowledge-sharing forums, best-practice exchanges) to drive consistency and scalability

• Build scalable programs, playbooks, and operating mechanisms that support long-term customer success

• Partner cross-functionally with Sales, Solutions Architecture, Solutions Engineering, and Product to deliver a unified customer experience

You’ll Thrive in This Role If You

• Have 8+ years of experience leading technical teams, including 3+ years managing post-sales technical roles such as customer engineering, solutions engineering, deployment, or professional services in enterprise SaaS or AI environments

• Have a proven track record scaling technical teams and operating models in high-growth environments

• Have experience designing or owning coverage models, staffing strategies, and engagement frameworks for post-sales technical teams

• Can engage and influence executive stakeholders within complex, global organizations

• Are a strong communicator who can bridge technical depth and business outcomes

• Have experience with Generative AI (preferred) or adjacent SaaS platforms

• Operate with humility, ownership, and a bias toward action to ensure customer and team success

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 ensure that our products are developed and used responsibly.

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What you'll do

• Leading PHY protocol assessment work, translating standard requirements into PHY block level specifications and verification methodologies.
• Collaborating closely with design teams to conduct rapid studies, evaluate solutions, and assess tradeoffs for design issues.

What you need

• Master’s degree in Electronic Engineering or related field.
• Minimum 8 years of experience in SerDes design, communications protocols, or related technical roles.

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