Responsibilities:

• Lead Strategic ML/AI Platform Programs: Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform.
• Operate with an AI-First Execution Mindset: Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows, and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows: Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction, including dashboards, data analysis, process helpers, and internal tooling.
• Apply Safety-by-Design AI Governance: Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams: Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions.
• Translate Strategy into Execution: Convert strategic platform priorities into structured, milestone-driven execution plans, operating at both breadth (big picture vision) and depth (driving granular details with engineering teams).
• Shape Planning & Influence Roadmaps: Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles, influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices: Define, institutionalize, and continuously improve program management processes, frameworks, and tooling, elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
• Drive Cross-Functional Alignment & Communication: Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal, ensuring stakeholders at all levels have timely, accurate visibility into priorities, status, risks, and decisions.
• Own Program Outcomes End-to-End: Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through.

Requirements:

• Experienced Technical Program Manager: 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent.
• AI-First Execution Mindset: Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication.
• Workflow Design & AI Fluency: Experience turning repeatable program work into durable, low-toil mechanisms, including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
• Safety-by-Design AI Governance: Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability.
• ML/AI & Systems Domain Knowledge: Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles.
• Strategic Vision & Entrepreneurial Leadership: Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs.
• Executive Influence & Thought Leadership: Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions.
• Analytical Problem-Solving & Risk Mitigation: Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
• Operational Excellence at Scale: Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility.
• Exceptional Communication & Collaboration: Outstanding written, verbal, and interpersonal communication skills, able to distill nuanced, technical concepts for diverse audiences.

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You'll lead deep technical engagements, partnering directly with startup engineering teams to help them develop their products on top of Claude,advising on implementation, agent design, and working alongside them to build at the frontier of AI.

Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide startups through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.

Responsibilities:

• Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI

• Work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development

• Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable startups to build and scale with Claude

• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements

• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team

• Create technical content for startup audiences including documentation, tutorials, and sample code

• Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events

• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have:

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder

• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Experience with startups or high-growth companies

• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases

• Builder credibility that earns trust with technical founders and engineering teams,you've shipped products and can speak from experience

• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans

• Experience facilitating technical workshops, hackathons, or developer-focused events

• Passion for making powerful technology safe and beneficial

The annual compensation range for this role is $200,000-$320,000 USD.

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Location: Remote - USA

Description:

Airbnb is seeking a highly experienced Staff Software Engineer to join its Authorization Infrastructure team. The successful candidate will be responsible for designing, developing, and evolving Airbnb's authorization platform, shaping the roadmap, architecture, and delivery while ensuring high reliability, performance, and operational excellence at scale.

The Authorization Infrastructure team builds and operates Himeji, the authorization system powering over 8 million authorization checks per second that underpins every access to data and resources at Airbnb. Our mission is to make authorization reliable, secure, and correct by default, removing the burden from every team to solve access from first principles.

As a Staff Software Engineer on Authorization Infrastructure, you will own the long-term technical strategy and architectural direction of the authorization platform, defining how it evolves to support AI-era patterns including natural language policies, contextual access decisions, and multi-principal agentic workflows.

Success in this role means advancing Himeji's core architecture northstar, securing cross-team alignment on AI agent authorization, and establishing Airbnb-wide engineering standards for what 'paved path authorization' looks like at every product surface.

Responsibilities:

• Lead the design, development, and evolution of Airbnb's authorization platform, shaping roadmap, architecture, and delivery while ensuring high reliability, performance, and operational excellence at scale.

• Help drive the next generation of authorization for AI and agentic workflows, defining clear access models for agents and building systems that enforce correctness, least-privilege access, and end-to-end auditability.

• Partner with InfoSec, AI/ML Infra, Product, Privacy, and Data teams to align on authorization standards and drive adoption across the platform.

• Lead design and execution of high-impact, high-risk authorization initiatives across multiple teams and systems.

• Set and uphold engineering standards through design reviews, technical leadership, and mentorship of senior engineers.

Requirements:

• 10+ years of software engineering experience, with significant time designing and operating large-scale, high-reliability distributed systems.

• Deep expertise in authorization, access control, or identity systems, including policy models, permission frameworks, or trust infrastructure at production scale.

• Demonstrated track record of owning complex, cross-organizational technical strategy: authoring foundational RFCs, building alignment across teams with competing priorities, and making high-stakes architectural commitments.

• Experience influencing engineering standards beyond your immediate team, at the engineering council, org-wide, or across platform and product organizations.

• Strong communication and technical leadership skills, with the ability to engage effectively across engineering, security, product leadership, and external partners.

• Familiarity with AI agent architectures and the security and authorization challenges they introduce is a strong plus.

Benefits:

• Competitive salary range: $212,000-$265,000 USD

• Bonus, equity, benefits, and Employee Travel Credits

• Opportunity to work with a highly experienced team and contribute to the growth and success of Airbnb

• Flexible remote work arrangement

• Access to professional development opportunities and training programs

• Collaborative and dynamic work environment

• Opportunities for growth and advancement within the company

Note: The salary range is based on the provided information and may vary based on individual circumstances.

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Responsibilities:

• Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more
• Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development
• Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP's, and Agent Skills
• Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research
• Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service
• Help shape team processes and culture as we scale from 1 to N
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

You might be a good fit if you have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Builder credibility that earns trust with technical founders and engineering teams,you've shipped products and can speak from experience
• Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints
• A love of teaching, mentoring, and helping others succeed
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

The annual compensation range for this role is $280,000-$300,000 USD.

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Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude.

Responsibilities:

• Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI

• Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development

• Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable customers to build and scale with Claude

• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements

• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team

• Create technical content for developer audiences including documentation, tutorials, and sample code

• Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events

• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder

• Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions

• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Experience working with high-growth, tech-forward companies

• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases

• Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience

• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans

• Experience facilitating technical workshops, hackathons, or developer-focused events

• Passion for making powerful technology safe and beneficial

The annual compensation range for this role is £225,000-£240,000 GBP.

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You'll lead deep technical engagements, partnering directly with startup engineering teams to help them develop their products on top of Claude,advising on implementation, agent design, and working alongside them to build at the frontier of AI.

Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide startups through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.

Responsibilities:

• Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI

• Work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development

• Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable startups to build and scale with Claude

• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements

• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team

• Create technical content for startup audiences including documentation, tutorials, and sample code

• Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events

• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have:

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder

• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Experience with startups or high-growth companies

• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases

• Builder credibility that earns trust with technical founders and engineering teams,you've shipped products and can speak from experience

• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans

• Experience facilitating technical workshops, hackathons, or developer-focused events

• Passion for making powerful technology safe and beneficial

The annual compensation range for this role is $200,000-$320,000 USD.

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You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside , you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community.

Responsibilities:

Partner deeply with flagship life sciences research institutions , understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.

Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.

Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.

Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You might be a good fit if you have:

4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder , with production experience shipping systems that real users depend on.

Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.

Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.

Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.

A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

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Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain: charting entirely new territory.

Nansen is a special company. We're building the single best product for onchain investing, allowing A New Way To Trade that's agentic, onchain, and fully integrated.

If you're looking for an adventure, you've come to the right place.

Our mission:

Surface the signal and create winners.

What you'll do at Nansen

You'll build the intelligence layer that powers that mission. That means working with 500M+ labeled blockchain addresses, training models on data no one else has, and shipping AI/ML systems that help real investors make better decisions and grow their portfolios.

• Design and build AI/ML models on top of the richest onchain dataset in the world , then make them fast, scalable, and production-ready
• Work shoulder-to-shoulder with engineers and product to ship models that actually reach users
• Stay ahead of the curve in both AI/ML and blockchain , this space moves fast, and we need someone who moves faster
• Level up the team: mentor junior engineers, raise the bar on what good looks like
• Own your work end-to-end; from data pipeline to deployed feature

What we're looking for

• You've shipped AI/ML at production scale , you have the scars and the portfolio to prove it
• Deep fluency in frameworks around Python, Generative AI and agents
• Deep expertise in LLMs, agent architectures, prompt engineering, and context engineering , across OpenAI, Anthropic, and beyond
• You can work the full data stack: feature engineering, pipelines, model serving. Data engineering experience is a genuine edge
• You don't just use AI as a tool. You think with it. AI-first isn't a checkbox, it's how you work
• Bonus: you know onchain, you care about crypto, and you have opinions about where this is going

What we offer our crew

• Competitive salary. Meaningful equity. Real ownership in what you build
• Fully remote with two no-meeting days a week , because deep work doesn't happen in a Google Meet
• Annual company retreat and team off-sites in one of our offices: Singapore, Bangkok, London, and Oslo , flights and accommodation covered
• Unlimited AI tokens: Claude, OpenAI, whatever helps you move fast
• Your own OpenClaw for work
• Nansen Pro account: giving you full access to the most detailed onchain data in the market
• A team that started as data engineers and data scientists. Your craft is respected here.
• Speed, ownership, curiosity, courage. These aren't values on a wall , they're how we run.
• A front-row seat (and a hand in building) the next chapter of finance

Work visa sponsorship is not provided for this role.

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

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.

About the Role

We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You'll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.

Responsibilities

• Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more
• Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development
• Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP's, and Agent Skills
• Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research
• Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service
• Help shape team processes and culture as we scale from 1 to N
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

You Might Be a Good Fit If You Have

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience
• Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints
• A love of teaching, mentoring, and helping others succeed
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this

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

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

How we're different

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

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal

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Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide startups through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.

You will serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI. You will work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development.

You will develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable startups to build and scale with Claude. You will collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements.

You will identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team. You will create technical content for startup audiences including documentation, tutorials, and sample code. You will foster community engagement through hackathons, webinars, technical office hours, and startup-focused events.

You will travel to customer sites for workshops, implementation support, and relationship building. You will be a builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience.

You will have strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans. You will have experience facilitating technical workshops, hackathons, or developer-focused events. You will have passion for making powerful technology safe and beneficial.

The annual compensation range for this role is £225,000 - £240,000GBP.

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We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude.

You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community.

Responsibilities:

• Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
• Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
• Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.
• Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You Might Be a Good Fit If You Have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.
• Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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