This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. You'll help customers understand Claude's security architecture, data handling practices, and deployment options, and partner with them to design solutions that meet their specific regulatory and organisational requirements.

You'll bring significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer at a cloud or security vendor, what matters is that you understand how large institutions evaluate and adopt technology, especially in financial services, and can speak credibly to their security and compliance concerns.

We are looking for someone excited to help define how enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you.

Responsibilities:

Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models.

Partner with CISOs, security architects, and compliance teams at financial services and insurance companies to understand their security requirements and design solutions that meet regulatory standards (SOC 2, SOX, PCI-DSS, GDPR, state insurance regulations, etc.).

Lead technical deep-dives on network architecture, data residency, API security, authentication/authorisation, audit logging, and integration patterns for regulated environments.

Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance.

Collaborate with Sales and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment.

Partner closely with Anthropic’s product and engineering teams to deeply understand Claude's security capabilities, provide real-time customer feedback on feature gaps and priorities, help assess technical feasibility of customer-specific security requirements, and influence roadmap priorities.

Develop and maintain security-focused collateral, reference architectures, and best practices documentation for regulated industries.

Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings.

You may be a good fit if you have:

8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (financial services, insurance, healthcare).

Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements.

Experience navigating compliance frameworks relevant to financial services and insurance (SOC 2, SOX, PCI-DSS, GDPR, CCPA, state insurance regulations, banking regulators' guidance on AI/ML).

A track record of engaging with CISOs, security teams, and compliance officers at large enterprises.

Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity.

Excellent communication skills, including the ability to explain complex security topics clearly to both technical and non-technical audiences.

The ability to navigate ambiguity and move fast in a rapidly evolving market.

A collaborative mindset: sales at Anthropic is a team sport.

Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly.

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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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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. Drive 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 delivery assets. Build 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. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You:

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.

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

• Have experience in a specialised vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).

• 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.

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: $200,000-$345,000 USD

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Required experience includes 10+ years of software engineering experience, 5+ years managing engineering managers, and leading engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business. You should also have scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality, and be technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces.

Nice-to-have experience includes healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes, experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design), experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows), and experience rethinking team structure or hiring profiles in response to AI productivity gains.

Our stack includes Python (Django/FastAPI), TypeScript/React, Elasticsearch, PostgreSQL, Redis, dbt, Snowflake, Temporal, and custom ML models. Everything runs on AWS.

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Key Responsibilities:

• Develop and execute proactive communications strategies that advance Google DeepMind’s corporate reputation and policy goals.
• Translate complex technical concepts into accessible language for policymakers, civic society, academics and industry experts.
• Lead communication campaigns that help ready governments and key opinion formers around the world for AI and AGI advancements, as well as highlight how our technologies are being used for public benefit in areas including science, education, safety and security.

Media Relations & Stakeholder Engagement:

• Build and maintain deep relationships with top-tier policy and tech journalists primarily in the UK and US.
• Collaborate closely with Google Communications teams around the world, sharing plans and consulting with central / local comms teams to develop media engagement plans that serve Google and GDM’s objectives. Ensure a unified voice on global AI policy matters.
• Act as a trusted advisor to senior executives and policy specialists, prepare them for high-stakes interviews across broadcast and digital, speaking opportunities including high profile industry events, as well as government testimonies.
• Manage reactive communications and crisis response for sensitive policy issues, working quickly to correct misinformation and articulate the company’s principles.

Cross-Functional Collaboration:

• Partner closely with the Public Policy, Public Engagement, Education, Legal, Safety & Responsibility and Executive Communications teams to align external messaging with internal priorities, progress and corporate strategy.
• Collaborate with Google GCPA teams.
• Draft high-quality written materials, including op-eds, blog posts, press releases, briefing documents and social media material.

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Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai.

You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products.

You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.

Teams

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs.

• API Core: You'll build and scale the foundation of the Claude API,the systems that deliver Claude's intelligence to every developer, from startups to enterprise.
• API Capabilities: You'll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use.
• API Knowledge: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time.
• Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease.
• API Agents: You'll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API.
• Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team,the team that makes Claude enterprise-ready at scale.

Requirements

• Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent.
• Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations , and can reach into the frontend when needed to ship an effective solution.
• Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer-facing products.
• Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems.
• Take a product-focused approach to your work and care about building solutions that are robust, scalable, and easy to use.
• Care deeply about investing in the mentorship and growth of your peers.
• Have experience with distributed systems, API design, and cloud infrastructure at scale.
• Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward.

Preferred Qualifications

• Served as a technical lead or architect on a product or API platform, owning both the technical vision and execution end-to-end.
• Experience designing and scaling APIs with a focus on developer experience, consistency, and reliability , including API design review processes.
• Deep experience building enterprise SaaS platforms, including permissions infrastructure, billing and pricing systems, or compliance frameworks for regulated industries (SO2, HIPAA).
• Background in a specific industry vertical , financial services, healthcare, or legal technology , with a track record of building products that handle sensitive, domain-specific data.
• Experience partnering with ML/AI research teams to productize model capabilities or identify and address model failure modes in production.
• Experience building agentic systems, orchestration frameworks, or developer tools , including CLI tools, IDE integrations, or AI-assisted coding environments.
• Experience building products where adoption and activation are core challenges , instrumenting funnels, diagnosing drop-off, and shipping the product changes that close gaps.
• Experience designing operational processes (incident response, on-call rotations, postmortem review) for production systems serving large-scale developer or enterprise audiences.

Compensation

The annual compensation range for this role is $405,000-$485,000 USD.

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This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.

Key responsibilities include:

• Building and maintaining trusted-advisor relationships with C-level executives in large US-based and global accounts, especially in highly regulated industries.
• Cultivating a strong social and professional network across customer executives, boards, key industry bodies, and partners.
• Shaping executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.
• Leading C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.
• Serving as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.
• Generalizing patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and sharing them through blogs, webinars, whitepapers, and conference keynotes.
• Orchestrating the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.
• Partnering with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.
• Providing structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.
• Mentoring senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.

Requirements include:

• 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.
• Significant time spent inside a large enterprise software or cloud company in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.
• Experience in or with regulated industries, with familiarity with regulatory and compliance considerations affecting data and AI platforms.
• A background that blends hands-on technology and architecture work on data platforms and analytics, organizational and operating model change, executive consulting or advisory, and proven ability to operate as a highly credible peer to C-level executives.
• Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.
• Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.

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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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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Responsibilities

• Define, establish, and lead the infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and technologies.
• Single-threaded ownership of all infrastructure component(s) of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure system architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated systems meet Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client and client-facing technologies and services.
• Provide clear, concise, and opinionated technical guidance, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in integration efforts.

Requirements

• Minimum of 12 years of progressive experience in Systems Engineering, Network Engineering, and/or IT Infrastructure roles with a focus on complex, enterprise-scale environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, architecture, and hands-on engineering capacities.
• Demonstrated expertise in defining and building engineering practices and repeatable processes.
• Proven ability to operate across the entire engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud architectures (AWS, Azure, GCP), hybrid cloud solutions, and on-premises infrastructure.
• Extensive experience with enterprise networking technologies, including routing, switching, firewalls, VPNs, and load balancing.
• Strong knowledge of server virtualization, containerization technologies (e.g., Docker, Kubernetes), and operating systems (Linux, Windows).
• Experience with identity and access management (IAM) solutions, single sign-on (SSO), and multi-factor authentication (MFA).
• Proficiency in scripting and automation for infrastructure deployment and management (e.g., Python, Ansible, Terraform).
• Strong understanding of security principles, best practices, and common vulnerabilities within systems and networks.
• Familiarity with client engineering principles and technologies.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to travel for remote deployments and assessments as required.

Preferred Qualifications

• Experience with infrastructure-as-code (IaC) principles and tools.
• Familiarity with CI/CD pipelines and DevOps methodologies.
• Experience with data center design and operations.
• Experience in the defense technology or highly regulated industries.

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

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

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

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

Responsibilities:

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

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

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

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

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

• Design and implement ABM campaigns for top strategic accounts

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

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

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

You may be a good fit if you:

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

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

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

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

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

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

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

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

Strong candidates may also have:

• Experience marketing AI or machine learning products to regulated industries

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

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

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

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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $255,000-$320,000 USD

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the Role

We are seeking an experienced Staff Program Manager to lead and support a strategic initiative focused on expanding our operations into highly regulated federal environments. This critical role will serve as the primary driver for ensuring program success while navigating complex compliance requirements and maintaining strong relationships with federal stakeholders.

Key Responsibilities

• Lead and manage program execution for initiatives entering highly regulated federal environments, ensuring adherence to compliance frameworks and regulatory requirements
• Serve as primary liaison between functional and technical teams, federal partners and sponsors, and internal stakeholders to ensure alignment on program objectives, deliverables, and timelines
• Develop and maintain comprehensive program plans, including risk management strategies, resource allocation, and milestone tracking
• Create and deliver executive-level status reports, briefings, and presentations for senior leadership
• Coordinate cross-functional teams to ensure seamless integration of compliance requirements into all program workstreams
• Identify and mitigate program risks while proactively developing contingency plans
• Manage stakeholder expectations and communications across all levels of the organisation and with relevant federal partners as needed
• Collaborate and align with Okta leaders, customer stakeholders, regulators to ensure Okta is meeting and/or exceeding expectations and providing mission impact

Required Qualifications

• Minimum 8 years of program or project management experience in federal regulated industries
• Active TS/SCI clearance (required at time of hire)
• Demonstrated experience understanding compliance requirements as part of major projects or programs in regulated environments
• Experience with federal compliance frameworks (CMMC, ) and Federal authorisations (FedRamp High, IL4/5/6/7)
• Experience in bringing commercial software into air-gapped highly regulated Cloud Environments, including AWS.
• Proven track record of successful interaction and relationship management with federal government customers and partners
• Strong experience developing executive-level status reports, briefings, and communications for C-suite and senior government officials
• Must be located within commuting distance of Washington, DC

Preferred Qualifications

• Active Project Management Professional (PMP) certification or equivalent (PMI-ACP, PRINCE2, etc.)
• Background in software/technology programs serving federal agencies
• Previous experience with DoD, Intelligence Community, or civilian federal agencies

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This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. You'll help customers understand Claude's security architecture, data handling practices, and deployment options, and partner with them to design solutions that meet their specific regulatory and organisational requirements.

You'll bring significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer at a cloud or security vendor, what matters is that you understand how large institutions evaluate and adopt technology, especially in financial services, and can speak credibly to their security and compliance concerns.

We are looking for someone excited to help define how enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you.

Responsibilities:

Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models.

Partner with CISOs, security architects, and compliance teams at financial services and insurance companies to understand their security requirements and design solutions that meet regulatory standards (SOC 2, SOX, PCI-DSS, GDPR, state insurance regulations, etc.).

Lead technical deep-dives on network architecture, data residency, API security, authentication/authorisation, audit logging, and integration patterns for regulated environments.

Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance.

Collaborate with Sales and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment.

Partner closely with Anthropic’s product and engineering teams to deeply understand Claude's security capabilities, provide real-time customer feedback on feature gaps and priorities, help assess technical feasibility of customer-specific security requirements, and influence roadmap priorities.

Develop and maintain security-focused collateral, reference architectures, and best practices documentation for regulated industries.

Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings.

You may be a good fit if you have:

8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (financial services, insurance, healthcare).

Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements.

Experience navigating compliance frameworks relevant to financial services and insurance (SOC 2, SOX, PCI-DSS, GDPR, CCPA, state insurance regulations, banking regulators' guidance on AI/ML).

A track record of engaging with CISOs, security teams, and compliance officers at large enterprises.

Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity.

Excellent communication skills, including the ability to explain complex security topics clearly to both technical and non-technical audiences.

The ability to navigate ambiguity and move fast in a rapidly evolving market.

A collaborative mindset: sales at Anthropic is a team sport.

Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly.

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You'll be responsible for leading and growing the DACH Applied AI Architect team, establishing processes and best practices for your segment's pre-sales engagements based on your depth of experience and knowledge of the market, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important partnerships.

In collaboration with Sales, Product, and Engineering teams, you'll help large enterprise customers incorporate leading-edge AI systems into both internal business transformation initiatives and customer-facing products. You will also help build technical GTM plays for Anthropic’s products and define high-value industry solutions.

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 organization 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 (ideally from 0 to 30+)
• 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 DACH language
• Demonstrated experience in defining and delivering enterprise AI use cases in regulated industries: e.g Banking, Insurance, Healthcare and Life sciences
• Track record 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 DACH AI 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.

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In this role, you will sit at the critical intersection of technology, media, and public policy. Your job is to translate our technical breakthroughs, national partnerships, policy positions and corporate initiatives into clear, compelling narratives that drive trust in Google DeepMind amongst key opinion formers.

Key responsibilities:

Strategic Narrative & Advocacy

• Develop and execute proactive communications strategies that advance Google DeepMind’s corporate reputation and policy goals.
• Translate complex technical concepts into accessible language for policymakers, civic society, academics and industry experts.
• Lead communication campaigns that help ready governments and key opinion formers around the world for AI and AGI advancements, as well as highlight how our technologies are being used for public benefit in areas including science, education, safety and security.

Media Relations & Stakeholder Engagement

• Build and maintain deep relationships with top-tier policy and tech journalists primarily in the UK and US.
• Collaborate closely with Google Communications teams around the world, sharing plans and consulting with central / local comms teams to develop media engagement plans that serve Google and GDM’s objectives. Ensure a unified voice on global AI policy matters.
• Act as a trusted advisor to senior executives and policy specialists, prepare them for high-stakes interviews across broadcast and digital, speaking opportunities including high profile industry events, as well as government testimonies.
• Manage reactive communications and crisis response for sensitive policy issues, working quickly to correct misinformation and articulate the company’s principles.

Cross-Functional Collaboration

• Partner closely with the Public Policy, Public Engagement, Education, Legal, Safety & Responsibility and Executive Communications teams to align external messaging with internal priorities, progress and corporate strategy.
• Collaborate with Google GCPA teams.
• Draft high-quality written materials, including op-eds, blog posts, press releases, briefing documents and social media material.

About You

In order to set you up for success at Google DeepMind, we look for the following skills and experience:

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8+ years of experience in corporate communications, public affairs, or media relations, with a specific focus on AI, broader technology policy, or regulated industries.
• Proven track record of managing high-profile media relations and crisis communications in a fast-paced environment.
• Demonstrable experience translating dense technical or regulatory information into clear, persuasive narratives.

Preferred Qualifications

• Experience working in-house at a leading technology company, AI research lab, or within a government/regulatory body.
• Deep understanding of the current global AI policy landscape (e.g., EU AI Act, AI Safety Summit Series, US Executive Orders).
• Existing network of relationships with key policy and tech reporters in London, and/or Washington D.C.

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This role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount.

You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.

Responsibilities:

• Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes.

• Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.

• Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth.

Operational Intelligence & Scalability:

• Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations.

• Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.

Data & Model Optimization:

• Lead fine-tuning and contextual optimization of AI models using Yuno's proprietary data.

• Continuously refine performance through structured feedback loops, observability metrics, and user interaction data.

• Ensure adherence to privacy, compliance, and ethical AI principles in all model development.

Cross-Functional Collaboration & Innovation:

• Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno.

• Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.

• Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.

The skills you need:

• 5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.

• Strong engineering and product mindset, capable of balancing technical depth with strategic impact.

• Exceptional communication and collaboration skills to work across product, engineering, and data functions.

• Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation.

• Willing to work from the Hyderabad office.

Minimum Qualifications:

• LLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.

• AI Agents & Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.

• Fine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.

• Programming & Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX.

• AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.

• Observability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.

• API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.

Preferred Qualifications:

• Experience using LlamaIndex, Hugging Face, or similar open-source frameworks.

• Strong understanding of context optimization, embedding strategies, and knowledge retrieval.

• Familiarity with MLOps, CI/CD pipelines, and production deployment best practices.

• Prior experience in fintech, payments, or other data-intensive and regulated industries.

• Analytical rigor and ability to translate business objectives into measurable AI outcomes.

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Wonderschool is a category-defining platform at the intersection of marketplace, SaaS, and public sector systems. We empower small business owners,childcare providers,to launch and grow programs through software, coaching, and support, while partnering with governments to modernize childcare infrastructure.

This role helps childcare providers successfully launch, operate, and grow their businesses using Wonderschool's platform. The Provider Growth & Success Manager owns the provider journey from early onboarding through long-term success,combining coaching, business support, and product enablement to drive meaningful outcomes.

Responsibilities:

• Drive Provider Success & Growth: Support providers across their full lifecycle,from onboarding and launch to ongoing growth and expansion. Build strong, trust-based relationships through field visits, virtual coaching, and proactive outreach. Help providers achieve key outcomes including enrollment growth, operational efficiency, and revenue stability. Serve as a trusted advisor, guiding providers through challenges and opportunities.

• Coaching & Business Enablement: Coach providers on small business fundamentals, including pricing, budgeting, and financial planning. Support providers in building sustainable operations, including staffing and long-term growth strategies. Help providers develop strong program positioning, parent communication, and community engagement. Guide providers in setting and achieving measurable business goals.

• Licensing & Compliance Support: Guide providers through state licensing requirements and regulatory processes. Support preparation for inspections and ongoing compliance. Assist with business setup tasks such as documentation, registration, and operational readiness. Ensure providers meet required standards to successfully launch and operate.

• Product Adoption & Technical Onboarding: Lead onboarding and training for Wonderschool's platform and tools. Help providers adopt key features that improve efficiency, enrollment, and revenue. Deliver live trainings, walkthroughs, and ongoing support for non-technical users. Identify gaps in adoption and proactively drive deeper product usage.

• Marketing & Enrollment Growth: Support providers in building and managing enrollment pipelines. Guide branding, local visibility, and digital presence (including marketplace listings and reviews). Coach providers on converting inquiries into enrollments and improving parent engagement. Help providers execute local marketing strategies and community outreach.

• Field Engagement & Community Building: Conduct regular in-person visits and host trainings across the region. Facilitate group sessions, workshops, and Wonderschool Academy programs. Represent Wonderschool in the field at events and community engagements. Travel regularly to support provider success and relationship-building.

• Cross-Functional Collaboration: Maintain accurate provider records and insights in internal systems. Partner with Sales, Support, Product, and Engineering to improve provider experience. Surface trends, challenges, and opportunities from the field to inform product and process improvements.

Required Qualifications:

• 3+ years of experience in customer success, onboarding, account management, business consulting, or similar roles.
• Experience working with small business owners or entrepreneurs.
• Strong understanding of business fundamentals (pricing, budgeting, operations).
• Experience training or supporting non-technical users on software platforms.
• Excellent communication and relationship-building skills.
• Strong organizational skills and ability to manage multiple providers simultaneously.
• Willingness and ability to travel regularly within the region.

Preferred Qualifications:

• Experience working in regulated industries (childcare, education, healthcare, or similar).
• Familiarity with licensing or compliance processes.
• Experience with SaaS onboarding or implementation.
• Experience using CRM tools (e.g., HubSpot).
• Experience coaching or mentoring business owners.

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Wonderschool is a company that empowers small business owners to launch and grow childcare programs through software, coaching, and support. We are looking for a Head of Implementation & Customer Success to join our team.

As a Head of Implementation & Customer Success, you will be responsible for ensuring that our platform and partnerships translate into real outcomes for customers. This includes successful deployments, strong adoption, and long-term retention.

Responsibilities:

• Own end-to-end delivery of government and enterprise implementations, from kickoff through go-live and post-launch success

• Ensure customers achieve defined outcomes, including successful deployment, adoption, and ongoing usage

• Manage complex, multi-stakeholder implementations involving integrations, data migration, and system configuration

• Establish clear success metrics across adoption, retention, and expansion

• Build a Scalable Customer Success Engine

• Design and implement repeatable playbooks for onboarding, implementation, and long-term customer success

• Develop systems to monitor customer health, identify risks, and drive proactive engagement

• Build frameworks that improve time-to-value and increase net revenue retention

• Identify opportunities for expansion and deeper customer partnerships

• Lead and Scale the Team

• Build and lead a high-performing implementation and customer success organization

• Define roles, hiring plans, and operating structure as the company scales

• Coach and develop team members while maintaining high standards of execution

• Establish clear performance expectations tied to customer and business outcomes

• Drive Cross-Functional Execution

• Partner closely with Product, Engineering, and Sales to ensure successful deployments and product alignment

• Translate customer feedback into product improvements and roadmap priorities

• Ensure alignment between sales commitments and delivery capabilities

• Advocate for scalable solutions over one-off implementations

• Manage Executive Stakeholders

• Build strong relationships with customer leadership and executive stakeholders

• Lead high-stakes conversations during implementations and critical phases

• Navigate complex challenges while maintaining trust and alignment

• Communicate clearly across internal and external stakeholders

Required Qualifications:

• 8–12+ years of experience in B2B SaaS post-sales roles (implementation, professional services, or customer success)
• Proven experience leading complex enterprise or government implementations with multiple stakeholders
• Experience building and scaling implementation or customer success teams in high-growth environments
• Strong program management and operational leadership capabilities
• Experience managing long implementation cycles with contractual deliverables and deadlines
• Excellent communication skills, including experience engaging executive stakeholders
• Ability to operate with high ownership in fast-paced, ambiguous environments

Preferred Qualifications:

• Experience working with government or public sector customers
• Background in enterprise SaaS, professional services, or consulting
• Experience owning or influencing net revenue retention (NRR)
• Familiarity with regulated industries (education, healthcare, public sector)
• Experience building systems that improve operational efficiency and scalability

Compensation & Benefits:

• Compensation Range (California): The base salary range for this role is $180,000 – $220,000, depending on experience, skills, and location.
• This role may also be eligible for equity and other forms of compensation.
• Wonderschool offers a competitive benefits package, including:
• Health benefits with up to 100% coverage for employee premiums and up to 80% for dependents
• Wifi and employee wellness stipends
• Flexible PTO, paid holidays, and mental wellness days
• Competitive parental leave (eligible after 6 months of employment)
• A highly collaborative, mission-driven workplace environment

Location / Travel Expectations:

• This role is based in San Francisco (hybrid, approximately three days per week in office).
• Regular travel is required to support customer implementations, key partnerships, and critical deployment phases.

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This is a hands-on recruiting role focused on building pipelines for specialized technical positions in a competitive market. You will proactively source candidates, assess qualifications, and drive hiring processes from initial outreach through offer acceptance.

Responsibilities:

• Manage the full recruiting lifecycle from role kickoff through offer acceptance

• Partner with hiring managers to define role requirements, candidate profiles, and hiring strategies

• Coordinate and manage interview processes, including scheduling, feedback collection, and candidate communication

• Drive timely hiring decisions and ensure a positive candidate experience

• Sourcing & Talent Pipeline Development

• Proactively source candidates using LinkedIn, job boards, referrals, and direct outreach

• Build and maintain pipelines for engineering, manufacturing, and technical roles

• Identify and engage passive candidates with relevant experience in industrial and regulated environments

• Develop targeted sourcing strategies for hard-to-fill roles

• Candidate Evaluation & Screening

• Conduct initial candidate screenings to assess technical alignment, experience, and cultural fit

• Evaluate resumes and candidate backgrounds against role requirements

• Partner with hiring managers to refine candidate selection criteria

• Offer Management & Closing

• Support development and delivery of competitive offers in coordination with leadership

• Manage candidate expectations throughout the hiring process

• Drive offer acceptance through clear communication and engagement

• Process Improvement & Reporting

• Track recruiting metrics including pipeline health, time-to-fill, and candidate conversion rates

• Identify opportunities to improve recruiting processes, efficiency, and candidate quality

• Support development of structured interview processes and hiring best practices

• Employer Branding & Candidate Experience

• Represent Standard Nuclear to candidates in a professional and accurate manner

• Communicate company mission, work environment, and growth opportunities clearly

• Ensure a consistent and positive candidate experience throughout the hiring process

Requirements:

• 1-3 years of experience in technical recruiting, preferably supporting engineering, manufacturing, or industrial roles
• Experience recruiting for hardware, manufacturing, or regulated industries (nuclear, aerospace, defense, energy, or similar)
• Strong sourcing skills and experience engaging passive candidates
• Ability to understand and communicate technical role requirements
• Experience managing multiple roles in a fast-paced environment
• Strong organizational and communication skills
• Experience with applicant tracking systems (ATS) and recruiting tools (LinkedIn Recruiter, etc.)
• Ability to work closely with hiring managers and influence hiring decisions

Benefits:

• Health, Dental & Vision Insurance
• Health Savings Account
• Disability and Life Insurance
• 401K Plan
• Paid Time Off, Holidays

Work Environment:

This role is based in Oak Ridge, TN and involves a combination of office-based work and close collaboration with hiring managers across engineering, manufacturing, and operations teams.

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As a core member of the Strategy & Operations team, you'll apply structured problem-solving, financial rigor, and operational discipline to turn strategic priorities into actionable, measurable outcomes. The role combines high-performance expectations with a strong learning and development environment , ideal for early-career professionals seeking to grow into future strategy, operations, or general management leaders.

Enterprise Strategy Development:

• Support the multi-year strategic planning and annual operating strategy cycles.
• Evaluate portfolio tradeoffs across platforms, software, hardware, and emerging growth vectors.
• Conduct market sizing, competitive analysis, and scenario modeling across U.S. and allied defense markets.

Capital Allocation & Business Case Rigor:

• Build financial models and analytic frameworks for investment decisions (new platforms, manufacturing, international expansion).
• Assess TAM, margin structure, capital intensity, payback, and risk-adjusted returns.
• Contribute to the development of enterprise-wide capital allocation frameworks and governance processes.

Operationalization of Strategy:

• Translate strategic priorities into cross-functional execution plans with defined KPIs and milestones.
• Track and report on progress through structured operating cadences (monthly and quarterly performance reviews).
• Identify bottlenecks, analyze root causes, and recommend actionable solutions to sustain execution velocity.

Required qualifications:

• Min 12+ years of experience with Bachelors, 8+ with Masters, and 5+ with PhD
• Min 4+ years' experience in a strategy consulting, corporate strategy or other high-rigor roles
• Strong analytical and conceptual problem-solving abilities.
• Demonstrated ability to structure ambiguous problems and drive insight through analysis.
• Financial modeling and analytical capability (unit economics, forecasting, scenario analysis).
• Experience or strong interest in complex, technical, or regulated industries (aerospace, defense, AI, or advanced manufacturing preferred).
• Ability to work collaboratively across teams and influence senior stakeholders.
• U.S. citizenship required (ability to obtain and maintain a security clearance).

$150,000 - $230,000 a year

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We're looking for a Sr. Program Manager to serve as the operational backbone of this effort, working directly alongside the Bank Management Team.

This is a high-visibility, high-impact role for someone who combines rigor and high-quality execution with the speed and scrappiness of a startup. You'll own the day-to-day operating rhythm of Mercury's charter pursuit, build the systems that give leadership visibility into how the program is actually operating, and drive execution across every cross-functional workstream. You'll be a true thought partner to the team not just executing on their priorities, but helping shape them.

If you're a problem seeker who thrives in ambiguity, creates structure where none exists, and holds a relentlessly high quality bar, this role is for you.

Program Management & Execution

• Own day-to-day program management for Mercury's bank charter initiative: set roadmaps, track milestones, sequence work, and drive accountability across a broad set of cross-functional stakeholders
• Build and run the operating rhythm of the charter program – ensuring teams move at high velocity with clarity on priorities, owners, and timelines
• Drive execution across cross-functional workstreams, translating strategy into action and ensuring follow-through on key decisions
• Surface risks early and clear blockers quickly – you'll always know where things stand, what's at risk, and what needs to escalate
• Scope and run special projects within the broader charter effort – from readiness workstreams to operational build-outs

Reporting, Metrics & Visibility

• Build and maintain systems for performance tracking, metrics reporting, and ongoing visibility into how the charter program is operating
• Prepare executive status updates, board materials, and investor-grade presentations
• Drive disciplined reporting cadences – ensure clarity, alignment, and transparency across all charter workstreams without introducing bureaucracy

Leadership Support & Stakeholder Management

• Act as a thought partner to the bank management team
• Run leadership meetings: prepare agendas, capture decisions and action items, and drive follow-through
• Liaise with external consultants and outside counsel to ensure subject matter expertise is brought in at the right time and integrated effectively

Culture & Team Operations

• Own cultural programs and initiatives that support the Charter team's cohesion and momentum: onsites, company meeting content, pulse surveys
• Be a driver of Mercury's overall bank readiness – ensuring the organization is prepared across people, process, and technology
• Design AI-enabled workflows and internal systems that support scale and reduce manual/operational work

What We're Looking For

• 7-10+ years of experience in strategy, consulting, chief of staff type role, program/project management, with exposure to regulated industries (ideally banking or fintech)
• Strong cross-functional partnership skills with a proven ability to influence without authority. You create accountability with people who don't report to you and drive alignment across teams
• Success managing complex, multi-stakeholder initiatives in fast-paced, ambiguous environments. You're a bridge builder who connects strategy to execution
• A problem seeker comfortable with ambiguity and skilled at creating structure where none exists
• A 'get things done' mentality: you dissect complex problems, identify solutions, and drive them to completion with a high degree of autonomy
• Exceptional written and verbal communication: exec-ready memos, board-quality decks, investor updates, and the ability to lead a room of senior stakeholders
• Extreme attention to detail with a high regard for precision
• AI fluency: you actively design AI-enabled workflows to increase your leverage, automate operational work, and support scale

Bonus

• Experience working directly with C-suite and board
• Familiarity with bank charter applications, regulatory processes, or financial institution operations
• Experience building operating rhythms, OKR/goal-setting frameworks, or metrics infrastructure from scratch
• Experience with cultural programs, team operations, or internal communications at a high-growth company

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $163,000 - 203,800
• US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $146,700 - 183,400
• Canadian employees (any location): CAD 154,100 - 192,600

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This role sits at the intersection of growth marketing, UX design, product merchandising, experimentation, and marketing technology infrastructure. You will drive measurable revenue growth by improving how financial products are presented, how users move through our conversion funnels, and how marketing performance is tracked and optimized.

Key responsibilities include:

• Developing and leading the full-funnel Conversion Rate Optimization (CRO) roadmap aligned to both registration and device purchase growth targets
• Designing and executing A/B and multivariate testing strategies across marketing pages, signup flows, onboarding, and upsell experiences
• Building a structured experimentation backlog informed by analytics, user behavior insights, and growth hypotheses
• Prioritizing tests using impact/effort/confidence frameworks
• Documenting experiment learnings to inform product, marketing, and lifecycle strategy

You will own critical MarTech enablement, ensuring marketing teams have the correct tracking, tagging, QA processes, and experimentation frameworks to operate with speed and accuracy.

This role reports to the Director, Growth Marketing.

What you’ll bring to the team:

• 5 to 8 years in Conversion Rate Optimization (CRO), growth marketing, product growth or performance UX roles
• Experience in fintech, financial services, or regulated industries preferred
• Proven track record increasing conversion rates through experimentation and UX optimizations
• Hands-on experience managing MarTech stacks and marketing tracking implementations
• Experience collaborating with marketing, product, engineering, analytics and lifecycle teams

Preferred experience:

• Proven ownership of marketing tracking architecture to ensure accurate measurement across acquisition and conversion funnels
• Hands-on experience implementing and managing tagging frameworks using tools like GTM, Segment, or similar platforms
• Strong collaboration with analytics and engineering teams to define and maintain event tracking standards
• Track record of ensuring clean, reliable data collection across landing page interactions, plan selection, registration start, activation events, and downstream handoffs
• Led QA processes for marketing tracking implementations, validating tag performance across devices and environments
• Maintained clear documentation for event schemas, tracking plans, and tagging governance
• Supported campaign launches through tracking validation, troubleshooting, and debugging

Work perks at Greenlight:

• Medical, dental, vision, and HSA match
• Paid life insurance, AD&D, and disability benefits
• Traditional 401k with company match
• Unlimited PTO
• Paid company holidays and pop-up bonus holidays
• Professional development stipends
• Mental health resources
• 1:1 financial planners
• Fertility healthcare
• 100% paid parental and caregiving leave, plus cleaning service and meals during your leave
• Flexible WFH, both remote and in-office opportunities
• Fully stocked kitchen, catered lunches, and occasional in-office happy hours
• Employee resource groups

Additional Information:

Our stance on salaries: Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more.

Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.

The estimated base pay range for this position in (NY, CA, WA): $105,000- 145,000

The estimated base pay range for this position in (CO): $105,000- 135,000

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This is a highly strategic and technical leadership role that sits at the center of our architecture, enabling scale, compliance, and innovation across multiple products serving the U.S. consumer market.

You will own and evolve a portfolio of mission-critical platforms that are reused across multiple product lines and directly impact customer experience, regulatory adherence, monetization, and operational efficiency.

Key responsibilities include defining and driving the long-term strategy and roadmap for core platform capabilities, ensuring platform services are scalable, secure, compliant, extensible, and reusable across the organization, and balancing immediate product team needs with long-term architectural integrity.

Additional responsibilities include identifying and driving opportunities to leverage AI both in product execution as well as within platform capabilities, proven experience owning and scaling complex, distributed systems, and experience in fintech, financial services, SaaS, or other regulated industries.

The ideal candidate will have 10+ years of product management experience, with at least 5+ years in platform product management, 3+ years of people management experience leading product managers, and experience with identity systems, billing/subscription systems, or compliance platforms.

Domain ownership includes identity & access management, accounts platform, pricing & plans, billing platform, notifications platform, and risk & compliance systems.

Why this role matters: Platform is the backbone of our product ecosystem. This leader will directly influence how we scale new products and features, how we manage risk and regulatory compliance, how we monetize effectively, and how we deliver secure, seamless customer experiences.

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You'll own critical systems like Google Workspace, Kandji MDM, and the integrations that connect them, ensuring our infrastructure is secure, scalable, and reliable. This isn't a role where you only work on green-field projects. You'll balance strategic systems work with hands-on support during high-volume periods or when the team needs coverage, bringing a pragmatic approach to both infrastructure improvements and day-to-day operations.

Overview of responsibilities, ownership, and expertise:

Technical Skills:

• Drive configuration, optimization, and security hardening of enterprise systems including Google Workspace, Kandji MDM, and critical SaaS integrations
• Build automated provisioning workflows using SCIM, API integrations, and identity management platforms to streamline user lifecycle processes

Complexity and Impact of Work:

• Lead technical design and implementation of enterprise system integrations, ensuring scalability, security, and compliance with organizational standards
• Manage device management infrastructure including MDM policies, hardware provisioning workflows, and endpoint security configurations

Organizational Knowledge:

• Collaborate with Security and the broader Enterprise Technology teams on system audits, compliance requirements, and infrastructure improvements
• Deliver reliable systems administration and provide escalated technical support during high-volume periods or when IT Support coverage is needed

Communication and Influence:

• Listen to stakeholder needs and translate them into technical solutions that balance security, usability, and operational efficiency
• Contribute technical documentation, system architecture guidance, and knowledge sharing to elevate the team's capabilities

You may be a fit for this role if you have:

• 4+ years managing enterprise identity and systems platforms (Google Workspace, Okta, Azure AD, or similar) with deep hands-on configuration experience
• Strong expertise with MDM platforms (Kandji, Jamf, Intune) including policy management, device provisioning, Chrome OS management, and security configurations
• Proven experience implementing SSO integrations (SAML, OIDC) and SCIM provisioning across multiple SaaS applications
• Track record of building automations and integrations that reduce manual administration work, whether through APIs, scripting, or platform-native tools

Although not a requirement, bonus points if:

• Scripting or programming experience (Python, JavaScript, Bash) for custom integrations and automation
• Experience with Google Workspace API, Okta API, or other enterprise platform APIs for advanced automation
• Previous experience in fintech, crypto, or highly regulated industries

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

As a diverse team of more than 600 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy.

Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work,regardless of who you are or where you come from.

We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

Anchorage Digital is an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

Anchorage Digital considers qualified applicants regardless of criminal histories, consistent with other legal requirements.

“Anchorage Digital” refers to services that are offered either through Anchorage Digital Bank National Association, an OCC-chartered national trust bank, or Anchorage Lending CA, LLC a finance lender licensed by the California Department of Financial Protection and Innovation, License No. 60DBO-11976, or Anchorage Digital Singapore Pte Ltd, a Singapore private limited company, all wholly-owned subsidiaries of Anchor Labs, Inc., a Delaware corporation.

Protecting your privacy rights is important to Anchorage Digital, and we work to maintain the trust and confidence of our clients when handling personal or financial information. Please see our privacy policy notices here.

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This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud native AI platforms in a highly regulated environment.

Key Responsibilities

• Design, build, and operate AI-focused infrastructure platforms supporting model development, training, evaluation, and inference.
• Engineer scalable, reliable, and secure cloud-native services to support AI workloads across AWS, Azure, and hybrid environments.
• Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems.
• Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards.
• Implement and maintain infrastructure as code and automation to ensure repeatable, auditable platform provisioning.
• Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency.
• Collaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructure.
• Contribute to architectural decisions and technical standards for AI platforms across Aladdin.
• Participate in on-call rotations and operational support as required for critical platforms.
• Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock’s enterprise context.

Qualifications

• Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.
• 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.
• Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster Recovery
• Experience supporting LLMs, generative AI platforms, or model serving infrastructure.
• Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and fine-tuning, experimentation over large datasets, and end-to-end MLOps pipeline flow including data ingestion, training, validation, and deployment.
• Proficiency with Infrastructure as Code tools (e.g., Terraform, ARM/Bicep, CloudFormation).
• Strong programming or scripting skills (e.g., Python, Bash, or similar).
• Experience building and operating containerized and Kubernetes-based platforms.
• Solid understanding of reliability, scalability, observability, and operational best practices.
• Ability to work effectively in cross-functional teams and communicate complex technical concepts clearly.

Our Benefits

To help you stay energized, engaged, and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our Hybrid Work Model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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Location

Singapore

Employment Type

Full time

Location Type

Hybrid

Department

Marketing

About the Role

We are seeking an experienced and versatile APAC B2B Marketing Lead to drive OpenAI’s enterprise and B2B marketing strategy across the Asia-Pacific region. This is a critical leadership role for a full-stack B2B marketer with strong regional judgment—someone who can operate across diverse markets, build foundational capabilities, and deliver high-impact programs that support revenue growth and long-term trust.

This role will be responsible for shaping and executing integrated B2B marketing initiatives that support enterprise adoption, partner-led growth, and developer-adjacent business audiences across APAC. The ideal candidate brings deep experience working with sales-led GTM teams, navigating complex stakeholder environments, and translating global strategy into locally effective execution across multiple APAC markets.

Key Responsibilities

• Lead the development and execution of APAC B2B marketing strategy, aligned with global priorities and regional GTM objectives.
• Drive full-funnel B2B marketing programs across field, content, customer marketing, events, and partner marketing.
• Partner closely with GTM, Partnerships, Product Marketing, Comms, and Global Affairs to deliver integrated programs that support enterprise adoption and pipeline growth.
• Translate global B2B narratives and launches into regionally relevant, market-specific execution across priority APAC markets (e.g., India, Korea, Japan, ANZ, Southeast Asia).
• Establish strong regional marketing operating rhythms, including planning cycles, agency management, budget oversight, performance measurement, and reporting.
• Act as the regional voice for APAC B2B marketing, bringing market insight, customer perspective, and local nuance into global strategy discussions.
• Build and scale foundational B2B marketing capabilities in-region, with an eye toward future team growth and specialization.

Qualifications

• 10+ years of experience in B2B or integrated marketing, ideally within technology, platforms, or high-growth environments.
• Proven track record of building and executing B2B marketing programs that support enterprise or partner-led GTM motions across multiple markets or regions.
• Strong understanding of APAC enterprise buying dynamics, including the role of trust, regulation, partners, and local proof points.
• Demonstrated ability to operate at both strategic and executional levels in fast-moving, ambiguous environments.
• Experience working closely with Sales, GTM, Partnerships, Product Marketing, and Comms teams in a matrixed organization.
• Excellent communicator and collaborator, with strong stakeholder management and influence skills across cultures and geographies.
• Experience managing teams, agencies, vendors, and regional partners across APAC preferred.

Nice to Have

• Experience marketing AI, developer, or highly technical products.
• Familiarity with regulated industries or trust-sensitive enterprise environments.
• Prior experience leading regional or global marketing scopes.

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

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Location

San Francisco; New York City; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $232K – $350K • Offers Equity • Mult

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

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

As an Account Director focused on Healthcare & Life Sciences, you will own executive-level relationships with leading healthcare and life sciences organizations, including global pharmaceutical manufacturers, medical device companies, and contract research organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to transform R&D productivity, automate documentation, enhance regulatory workflows, and personalize patient and provider engagement.

This role blends scientific literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments.

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

In this role, you’ll:

• Manage a focused portfolio of healthcare, large pharmaceutical and life sciences accounts, developing long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles spanning R&D, medical, regulatory, and commercial functions

• Partner with solutions and research engineering to design pilots that demonstrate measurable business and scientific impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends (FDA, EMA, etc.) to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., HLTH, JPM)

• Partner cross-functionally with marketing, partnerships, and communications to build the HLS go-to-market motion

We’re seeking someone with experience including:

• 14+ years selling complex enterprise software or platform-as-a-service solutions to healthcare or life sciences customers

• Proven success achieving annual revenue targets >$2M+ in regulated industries

• Experience managing C-suite relationships across R&D, IT, medical, and commercial teams

• Strong understanding of healthcare and life sciences workflows (e.g., drug discovery, clinical trials, regulatory submissions, market access)

• Familiarity with data privacy, compliance (HIPAA, GxP), and security considerations in healthcare

• Demonstrated ability to design and execute complex deal and partnership strategies

You might thrive in this role if you:

• Are customer-centric and can translate complex scientific and business needs into transformative AI solutions

• Are passionate about advancing human health through the safe and ethical use of AI

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is made up of scientists, engineers, and business professionals working together to accomplish this long-term undertaking.

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