Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As part of the SaaS Manager https://1password.com/product/saas-manager team, you'll be building the platform that IT and Security teams rely on to discover, govern, and optimize their AI and SaaS ecosystems (work that just earned 1Password recognition as a Leader in the 2026 Gartner® Magic Quadrant™ for SaaS Management Platforms). You'll work on real problems: uncontrolled AI spend, shadow IT, SaaS sprawl, and the complex access lifecycles that come with it. Following 1Password's acquisition of Trelica in early 2025 https://blog.1password.com/1password-acquires-trelica/, you'll join a collaborative team with a startup mindset backed by the resources and mission of one of the most trusted names in security. As we scale the platform to meet our enterprise-scale ambitions, you'll help shape not just what we build, but how we build it.
We are looking for an Intermediate Developer who is energized by doing meaningful work, growing fast, and building great software alongside great humans. This is a role for someone with a solid technical foundation who knows how they learn, takes real ownership of their work, and is ready to make an impact from day one.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- You have 2–4 years of professional software development experience with some knowledge of .NET/C# and exposure to MongoDB or a comparable document database
- You know how you learn, and you learn quickly: you're comfortable picking up new concepts, technologies, and codebases, and you don't need everything handed to you before you can get started
- You take real ownership of your assigned work: you follow through, flag problems early, and hold a high bar for what "done" means
- You write clean, well-tested, well-documented code and you understand why those things matter in a production environment
- You're a strong collaborator: you communicate clearly, ask good questions, and work well with teammates across engineering, product, and design
- You're curious about how agentic AI tools fit into your own development workflow and you use them thoughtfully
- You're proactive by nature: you look for opportunities to improve the codebase or the team's processes and you surface them, even when you haven't been asked
Bonus points for:
- Comfort across a wide range of technical stacks (.NET/C#, MongoDB, Go, Rust, TypeScript, React, and others); you evaluate technology on its merits for the problem at hand, not personal preference, and you pick up new languages quickly
What you can expect:
- Deliver features and improvements on the SaaS Manager platform
- Take end-to-end ownership of well-defined features from initial development through production
- Participate actively in code reviews, giving and receiving thoughtful feedback, and use both as opportunities to grow your technical judgment
- Write meaningful tests and clear documentation as part of your regular workflow, not as an afterthought
- Collaborate with product managers and designers to understand the customer problems behind your work and advocate for good outcomes within your scope
- Surface blockers and open questions early, keeping yourself and your teammates unblocked and the work moving forward
USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: San Francisco, CA; San Jose, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.
As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.
The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities.
RESPONSIBILITIES
Build in Production with Customers
- Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary.
- Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress.
- Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling.
- Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it.
Make AI Adoption Safe and Governable
- Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production.
- Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience.
- Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds
- Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control.
Partner with Solutions Architecture and the Field
- Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary.
- Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns.
- Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption.
Close the Loop with Product and Engineering
- As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services.
- Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t.
- Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap.
Shape the Practice
- Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners.
- Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team.
- Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services.
- Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns.
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS
Required
- 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience.
- Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence.
- Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews.
- Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals.
- Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior.
- Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD.
- Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP).
- Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality.
- Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority.
- Proven track record of technical mentorship and of raising the bar for the engineers around you.
- High agency and comfort operating autonomously in distributed, remote-first teams.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Travel to customer sites to build in person with customer teams, estimated at up to 50%.
Bonus
- Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner.
- Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings.
- Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors.
- Contributions to open source projects in the container, Kubernetes, or MCP ecosystems.
- Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $198K – $319K + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: London
Workplace: Hybrid
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
The difference you’ll make:
You’ll sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues.
Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes.
The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively.
Your day-to-day:
- Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management.
- Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems.
- Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations.
- Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues.
- Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations.
- Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices.
Your skillset:
- SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support.
- Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable.
- API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems.
- Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices.
The interview journey:
- Intro with a member of the Talent Acquisition team - 30 mins
- 1st stage video interview with Lead Applied AI Engineer - 1 hour
- Applied AI and SaaS administration task
- Final stage with Director of Applied AI and senior stakeholders - 1 hour
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
Our commitment to inclusion:
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Colorado Springs, Colorado, United States
About the Role
iCapital is seeking an Application Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems.
Responsibilities
Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company.
Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform.
Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions.
Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability.
Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture.
Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance.
Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency.
Participate in production support rotations and provide timely resolution of production issues impacting customers.
Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives.
Collaborate with distributed engineering teams across North America and India to ensure architectural consistency and delivery alignment.
Mentor engineers in .NET, Azure, DevOps, cloud-native design patterns, and software architecture principles.
Identify opportunities to improve platform observability, performance, security, reliability, and development efficiency.
Qualifications
7+ years of experience in software engineering, application architecture, or solution architecture roles
Bachelor's degree in computer science, software engineering, or a related technical discipline
Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies
Strong experience architecting cloud-native solutions within Microsoft Azure environments
Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures
Strong understanding of software design patterns, architecture frameworks, and engineering best practices
Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions
Proven ability to develop technical roadmaps and lead large-scale modernization efforts
Experience participating in production support and incident management processes
Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices
Strong communication and stakeholder management skills with the ability to influence technical and business leaders
Experience working in Agile software development environments and supporting Scrum teams
Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms
Experience supporting customer-facing enterprise SaaS products
Azure certifications or demonstrated expertise in Azure architecture and cloud engineering
Experience leading geographically distributed engineering organizations
Benefits
The base salary range for this role is $ to $. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Salt Lake City, Utah, United States
About the Role
iCapital is seeking a .NET Application/Solutions Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems.
Responsibilities
Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company.
Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform.
Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions.
Champion AI-first development across the engineering org using Copilot, Claude, Cursor and other tools
Drive and build agentic customer facing applications providing real-time recommendations, decision support, and interactive help, using Azure Foundry, Open AI and other agentic development platforms. You are familiar with orchestration, RAG, retrieval grounding, MCP server design, etc.
Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability.
Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture.
Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance.
Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency.
Participate in production support rotations and provide timely resolution of production issues impacting customers.
Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives.
Qualifications
7+ years of experience in software engineering, application architecture, or solution architecture roles
Bachelor's degree in computer science, software engineering, or a related technical discipline
Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies
Strong experience architecting cloud-native solutions within Microsoft Azure environments
Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures
Strong understanding of software design patterns, architecture frameworks, and engineering best practices
Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions
Proven ability to develop technical roadmaps and lead large-scale modernization efforts
Experience participating in production support and incident management processes
Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices
Strong communication and stakeholder management skills with the ability to influence technical and business leaders
Experience working in Agile software development environments and supporting Scrum teams
Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms
Experience supporting customer-facing enterprise SaaS products
Azure certifications or demonstrated expertise in Azure architecture and cloud engineering
Experience leading geographically distributed engineering organizations
Benefits
The base salary range for this role is $110,000 to $130,000 USD, or $100,000 to $120,000 CAD. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion.
You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads.
EXAMPLE INITIATIVES
Recent and upcoming work in this area:
- Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies
- Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials
- Agent credentials that grant an agent exactly the access it needs for the given task and nothing more
- Enterprise identity lifecycle including single sign-on, SCIM provisioning, and per-organization session expiry policies
- Admin controls for centralized visibility, auditability, and governance over credentials, roles, and access
RESPONSIBILITIES
- Lead identity and authorization projects from problem definition and technical design through implementation, launch, and iteration.
- Design authorization and credential models that support critical user workflows today and can be safely extended as the platform evolves.
- Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions.
- Establish engineering practices for quality, security, observability, and operational ownership.
- Provide technical leadership and mentorship as the team grows.
REQUIREMENTS
- 4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions, relationship-based access control, a policy engine, or a fine-grained authorization system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar.
- Demonstrated end-to-end ownership: you've taken a system from first design through implementation, production rollout, and iteration with users.
- Experience developing and operating multi-tenant systems at scale, where authorization checks sit in the request path and latency and consistency matter.
- Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure.
NICE TO HAVE
- Experience with Python and Go.
- Experience running an OpenFGA, SpiceDB, or similar deployment in production, beyond a proof of concept.
- Working knowledge of OAuth, OIDC, and SCIM at the protocol level.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior CMF Designer to own colour, materials, and finish across our robot programmes.
As the Industrial robot moves from Beta into Gamma production, CMF definition becomes a dedicated, full-time responsibility.
Your primary focus will be the Industrial wheeled robot, covering tooling-ready specification, supplier management, and production sample governance. You will also contribute early CMF thinking to our other robot platforms as they develop at the early stages.
You will be the first dedicated CMF hire at Humanoid, working within a multi-discipline Design Team across multiple robot platforms.
What You’ll Do
- Own CMF direction across all robot programmes, from early concept through to production-ready specification.
- Develop CMF strategy as an integrated part of the team's overall design direction; working with design leads to ensure material and finish decisions reflect and reinforce the product's broader design intent.
- Develop and maintain material libraries, finish standards, and sample archives relevant to robotics manufacturing contexts.
- Define and document CMF specifications with the precision required for engineering handoff, colour, texture, durability, finish codes specifications etc…
- Work closely with Industrial Designers, Fashion Designers and UX Designers to ensure material decisions reinforce, not contradict, the product's form language and functional context.
- Collaborate with manufacturing partners and suppliers to validate material feasibility within programme timelines and cost envelopes.
- Lead CMF reviews, presenting direction clearly to design leads and senior stakeholders.
- Contribute to garment/soft goods material decisions where CMF and wearable design intersect.
- Build the CMF process from the ground up ; standards, workflows, review cadences & governance.
We’re Looking For
- A designer who treats material choice as a communication decision.
- 7+ years of CMF experience, ideally with complex manufactured products: robotics, automotive, consumer electronics, medical devices, or industrial equipment.
- Deep knowledge of materials, surface finishes, coatings, and manufacturing processes relevant to high-spec electromechanical products.
- Experience producing CMF specifications for engineering teams, not just mood boards for stakeholders.
- The confidence to defend a material direction and the rigour to back it up with process, technical trade offs and physical evidence.
- Comfort operating in ambiguity as you'll be defining the function as much as executing within it.
- Familiarity with soft goods or wearable materials is a plus, not a prerequisite.
- Based in London, 5 days a week.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Ecosystem Operations Manager at GitLab, you'll own the technology, processes, and operational infrastructure behind our channel, distribution, original equipment manufacturer (OEM), global systems integrator (GSI), and managed service provider (MSP) partnerships. You'll shape how our partners go to market, serving as the primary process owner for deal registration, partner programs, partner quote-to-cash, and partner attribution. You'll combine operational strategy with hands-on execution, using artificial intelligence (AI) to automate workflows and help ecosystem operations scale.
What you'll do
Design and govern end-to-end partner processes, including deal and referral registration, service attach, two-tier distribution, rules of engagement, and quote-to-cash. Partner with Deal Desk and Billing on resale, distribution, OEM, GSI, and MSP transaction workflows, and resolve complex registration, quoting, and billing escalations.
Own operational execution of partner tiering, onboarding, certification compliance, not-for-resale (NFR) licenses, rebates, and incentives, including eligibility tracking, approval routing, and payments.
Own and administer the partner technology ecosystem, including Impartner partner relationship management (PRM), Salesforce customer relationship management (CRM) partner objects, deal registration, and partner portals. Maintain system health and data integrity, and co-manage vendor roadmaps, renewals, and service-level accountability.
Partner with Revenue Technologies and Systems to maintain integrations across partner platforms, Salesforce, enterprise resource planning (ERP), quoting, billing, and financial systems, including partner attribution and compensation data flows. Lead prioritization and user acceptance testing (UAT) for implementations, migrations, and platform enhancements with IT and Enterprise Applications.
Own the ecosystem data model and work toward one standard partner attribution record across the customer lifecycle. Serve as a resource for Ecosystem Sales, partners, and internal teams on attribution, territory, and compensation-impacting data, and maintain reporting and dashboards as a single source of truth for partner pipeline, registration activity, and program performance.
Lead ecosystem month-end close with Deal Desk, Compensation, Accounts Receivable, and Finance, covering opportunity corrections, partner splits, territory review, and reconciliation.
Identify, build, and deploy AI agents to automate workflows such as deal registration routing, NFR provisioning, partner data quality checks, and reporting. Evaluate processes for opportunities to reduce manual effort, improve consistency, and shorten cycle times.
Maintain the authoritative ecosystem process map, runbooks, and training materials. Support tool configuration, testing, and end-user training. Own channel price files and partner quoting for product launches and stock keeping unit (SKU) changes. Coordinate improvements with operational peers, IT, Finance, Product, and Legal through GitLab Work Items.
What you'll bring
Experience in business-to-business software-as-a-service channel or partner operations, with direct ownership of ecosystem workflows and the ability to work independently in a remote environment.
Hands-on experience with Impartner or an equivalent PRM platform, including deal registration and partner portal administration.
Strong working knowledge of Salesforce CRM, including partner objects, opportunity management, Flow, validation rules, reports, and dashboards.
Deep familiarity with resale, two-tier distribution, deal registration, rules of engagement, partner discounting, and partner quote-to-cash, plus an understanding of OEM, GSI, and MSP transaction structures and operational requirements.
Direct experience operating partner programs, including tiering, certification compliance, rebates, and incentives, with responsibility for execution and compliance.
Experience designing and documenting complex operational processes for distributed teams, translating business needs into detailed system requirements and configuration, and leading user acceptance testing through release.
Hands-on experience using AI tools and building agents to automate operational workflows, from evaluating opportunities to delivering working solutions.
Experience resolving ambiguous operational escalations across systems, teams, and partner relationships, and aligning Deal Desk, IT, Finance, Compensation, Legal, and Sales around operational changes.
About the team
Our Ecosystem Operations team works closely with Systems, Revenue Technologies, Deal Desk, Ecosystem Programs, Enablement, Finance, Compensation, and Legal. We enable consistent execution across Ecosystem Operations Specialists and cross-functional partners. You'll also partner with the Senior Hyperscaler Operations Manager, who owns Amazon Web Services and Google Cloud operations, on shared systems, the ecosystem data model, and month-end close.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$104,800
—
$176,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA; Sunnyvale, CA
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
THE OPPORTUNITY
As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world.
This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap.
WHAT YOU WILL DO
- Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats).
- Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team.
- System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines.
- Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system.
- Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.
- Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.
- Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences.
WHAT WE ARE LOOKING FOR
- Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain).
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
- Core Technical Skills: Strong proficiency in Python and/or C/C++.
- Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML.
- Full SW lifecycle experience: Demonstrated experience in taking research into production at scale.
- Technical Leadership Experience: Previous experience tech leading computer vision projects.
COMPENSATION & BENEFITS
The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
LOCATION & WORK MODEL
This role is based in our San Francisco or Sunnyvale office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Задачи:
— проектирование и масштабирование корпоративного хранилища данных
— интеграция источников и консолидация данных из учётных систем (в том числе SAP HCM/SAP BW)
— проектирование витрин данных на основе требований бизнеса и топ‑менеджмента
— внедрение процессов Data Quality и Data Governance для обеспечения качества данных
Требования:
— опыт в области DWH, ETL или Data Engineering от 3 лет
— практический опыт проектирования и развития хранилищ данных
— уверенное владение PostgreSQL, MS SQL, Python (для обработки данных, интеграций и автоматизации), Apache Airflow, Kafka, Git
— приверженность подходу Data Governance
— умение самостоятельно принимать, документировать и внедрять решения в промышленную эксплуатацию
— будет преимуществом понимание принципов хранения данных в SAP HCM/SAP BW, требований BI‑систем к структуре и качеству данных, а также основных метрик HR‑отчётности.
Location: London
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
Location: Europe remote or London hybrid
THE ROLE:
Synthesia is used by over 90% of the Fortune 100. The largest deployments now run thousands of creators across dozens of markets, languages, and compliance regimes. What decides whether those accounts expand or stall is not another avatar - it's whether admins, legal teams, and programme owners can actually stay in control.
We're looking for a Staff (L6) Product Designer to own that layer end-to-end: workspace setup and governance, the content lifecycle, and the analytics and integrations that close the loop. This is the work that turns a proof of concept into a seven-figure renewal, and right now it is wide open.
You'll operate as a senior IC: setting direction, influencing roadmap decisions (not just contributing), shaping bets with Product and Engineering leaders, and raising the bar on how we think about enterprise design problems.
WHAT YOU'LL BE DOING:
- Own the Enterprise surface end-to-end, from problem framing to shipped outcomes and iteration - often dealing with ambiguity. You'll reach out to the right stakeholders, get the right eyes in the room, and make decisions independently.
- Design complex governance and compliance systems that give admins, legal teams, and compliance officers genuine control and transparency. Examples include:
- Permission models and role hierarchies that scale across thousands of creators without collapsing into chaos.
- Audit log experiences that make compliance auditable - not just for the system, but for the humans who need to understand what happened.
- Workspace setup and identity workflows that integrate with real enterprise infrastructure (SSO, SCIM, MCP).
- License and billing models that admins can actually understand and manage at scale.
- Analytics and reporting that tell admins whether their deployment is working as intended.
- Work with technical constraints and possibilities. You'll develop fluency in APIs, widget architectures, developer hub patterns, and how backend systems shape what's actually achievable in the UX. You're not designing in isolation from engineering - you're designing in partnership with it.
- Drive pragmatic iteration. You'll scope ruthlessly, build POCs to get signal early, and iterate based on what you learn from enterprise customers.
- Set a design vision for our Enterprise surface and influence adjacent product areas to stay coherent. As things scale across SSO, compliance, analytics, and billing, you're keeping the mental model consistent.
YOU SHOULD APPLY IF YOU BRING:
- Significant experience designing complex, large-scale product surfaces - ideally admin dashboards, governance layers, analytics platforms, or other domains where system thinking matters.
- Technical fluency. You understand APIs, integrations, how services communicate, how widgets and developer hubs work. You can read a technical architecture doc and understand the constraints it creates for design. You don't need to be an engineer, but you think like one.
- Systems thinking: not just about interaction flows, but about enterprise systems. You understand how identity systems, compliance regimes, and scale constraints shape what's actually possible in the UX. You think in mental models and multi-step workflows, not single screens.
- Comfort operating in ambiguity: you can turn unclear and fast-moving problem spaces into crisp direction, and you do not wait for perfect clarity.
- Excellent communication in design reviews and cross-functional decision-making contexts.
- Experience designing workflows where trust, transparency, and user control are central - helping users feel confident in AI-driven outputs rather than confused or excluded.
- The ability to leverage feedback from users and customers to ensure the product continues to meet real needs - including enterprise users with high stakes around quality, compliance, and scale.
AT SYNTHESIA WE EXPECT EVERYONE TO:
- Put the Customer First
- Own it & Go Direct
- Be Fast & Experimental
- Make the Journey Fun
You can read more about this in this public Notion page: https://synthesia.notion.site/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2
BENEFITS
- A flexible, remote friendly role based out of Europe or one of our hubs in London, Copenhagen, Munich, or Zurich.
- 25 days of annual leave + public holidays in the country where you are based.
- A generous referral scheme.
- Work from home set up.
- At Synthesia, you can work from anywhere (within reason) in the world for up to 60 days per year!
- A huge opportunity for career growth as you’ll help shape a market-defining product.
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role
We're looking for an Engineer to lead the design and development of Vercel's Financial Data Platform, the foundational system that powers revenue reporting, consumption-based billing, financial forecasting, and compliance across the business. This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business.
Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for Vercel's financial data ecosystem, partner closely with Finance, Accounting, and Revenue leadership to translate business and compliance requirements into scalable systems, and build reliable, auditable pipelines using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.
You'll lead from the front, writing production-grade code, setting the bar for data accuracy and governance in a domain where correctness isn't optional, and mentoring a team of engineers as the function grows. If you're excited by the challenge of building financial-grade data systems that the business trusts for reporting, forecasting, and audit, we'd love to hear from you.
What You Will Do
Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts.
Work directly with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, translating them into technical architecture and ensuring data availability and accuracy align with financial reporting deadlines, audit cycles, and board-level reporting needs.
Define and maintain guidelines for financial data ingestion, transformation, and storage, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting.
Develop end-to-end solutions across the finance data stack, setting the example for engineering excellence in a high-accountability domain, and mentor engineers on both technical craft and the added rigor required when data feeds directly into financial statements.
Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response.
Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements of financial systems, and evaluate build-vs-buy tradeoffs across financial and billing tooling (e.g., ERP, billing, and revenue platforms).
Build the data infrastructure that translates raw usage into revenue, supporting the forecasting models Finance and GTM rely on for target-setting and reporting, and collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling at scale.
Act as a key decision-maker for evaluating and selecting data architectures and technologies critical to Vercel's financial operations, and establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness.
About You
8+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end.
Proven track record designing and operating large-scale data infrastructures in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
Prior experience building data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing models, with familiarity with financial/ERP systems (e.g., NetSuite, Workday) or billing platforms considered a strong plus.
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
Strong background in data governance, security, and compliance, including direct experience supporting audit, SOX, or SOC 2 requirements, and a rigorous approach to data lineage and accuracy.
Outstanding communication and collaboration skills, with the ability to translate financial and accounting requirements into technical architecture and influence both technical and non-technical stakeholders, including Finance and Audit leadership.
A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments.
Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco, CA
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for an Account Executive, Federal - State & Local to drive new business and expand Figma’s presence across State & Local government agencies. As the first dedicated State & Local Account Executive at Figma, you will help define Figma’s initial go-to-market approach for State & Local government, establishing the strategies, process, and best practices that will guide future sales hires.
This role requires proactive pipeline generation, strategic account management, and the ability to navigate complex State & Local buying processes. You will work closely with Design, Product, Engineering, and IT leaders to understand their priorities, demonstrate Figma’s value, and grow adoption across their organizations. This is an opportunity to help shape Figma’s State & Local sales strategy, learn from leading sellers, and build a strong network of cross-functional partners.
This is a full-time role that can be held from our San Francisco hub or remotely within the Pacific US time zone.
What you’ll do at Figma:
Own a named book of State & Local accounts, driving acquisition, expansion, and retention to exceed quarterly and annual sales targets
Build pipeline through outbound prospecting, territory planning, account mapping, partner collaboration, and public sector engagement
Develop strategic account plans aligned with agency priorities, funding sources, budget cycles, and purchasing timelines
Lead multi-stakeholder sales cycles, building executive sponsorship and internal champions while navigating security, accessibility, and SLED procurement requirements
Partner with Solutions Engineering, Customer Success, Marketing, and channel teams to demonstrate value, advance opportunities, and drive adoption
Win foundational government customers, establishing reference accounts and success stories that define Figma’s value across State & Local government
Own RFP strategy and proposal execution, mobilizing internal stakeholders under tight deadlines to win competitive government bids
Make accessible citizen experiences central to the value story, showing how Figma helps agencies modernize digital service delivery and better serve their communities
We'd love to hear from you if you have:
8+ years of enterprise sales experience, including significant SaaS experience selling into State & Local government agencies
Consistent success acquiring new accounts, expanding existing relationships, and exceeding sales targets, supported by proactive outbound prospecting and strategic territory development
Experience managing complex sales cycles of six months or longer, with an understanding of SL budget cycles, procurement requirements, and reseller and channel partner ecosystems
Demonstrated ability to build trust with executives, technical teams, and agency or institutional leaders, aligning solutions to organizational priorities through effective discovery, qualification, and value-selling
Strong communication, negotiation, and account planning skills, with a structured sales methodology and the ability to manage competing priorities across a territory
While it’s not required, it’s an added plus if you also have:
Established relationships within the assigned SL territory and experience co-selling with resellers, systems integrators, or other public sector partners
Understanding of public sector requirements for data privacy, accessibility, and security
Demonstrated success in a changing environment or building an emerging sales motion, with certification or formal training in deal qualification and prospect discovery
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$165,000
—
$190,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Greenwich, Connecticut, United States
About the Role
iCapital is looking to hire a Compliance Officer to support the relevant investment advisers serving the Exchange-Traded Funds (ETF), Alternative Investments Fund-of-Funds, and 1940 Act Registered Funds businesses. This individual will assist with the implementation and administration of compliance programs for the firm’s SEC-registered investment advisers, registered investment companies, NFA- and CFTC-registered commodity pools, and other compliance-related activities involving these products or entities.
Responsibilities
Maintain working knowledge of regulations applicable to ETFs and 1940 Act Registered Funds and their investment advisers, including the Investment Advisers Act of 1940, the Investment Company Act of 1940, and Rule 6c‑11.
Support the administration of the funds’ compliance and governance framework.
Assist in monitoring compliance with fund governing documents.
Monitor regulatory developments affecting ETFs, including derivatives, valuation, liquidity, and related rulemaking, and assist in assessing their impact.
Support ETF and Registered Funds initiatives by identifying regulatory risks, escalating issues, and helping develop practical solutions.
Review fund marketing materials for consistency with fund disclosures, governing documents, regulatory requirements, and internal policies, and coordinate approvals with relevant stakeholders.
Conduct post-trade compliance monitoring, portfolio guideline testing, and issue resolution.
Support trading oversight frameworks, including best execution governance and related compliance practices.
Perform compliance testing, reporting, and remediation tracking to support timely resolution of issues.
Assist with compliance reviews of third-party service providers, including administrators, custodians, legal counsel, and auditors.
Qualifications
Bachelor’s degree is required
6+ years of compliance experience in the financial services industry, including experience with exchange-traded funds, derivatives, alternative investments, and the applicable regulatory landscape
Experience supporting investment company, investment adviser, and NFA or CFTC compliance programs and requirements
Experience supporting regulatory examinations, investigations, or other interactions with the SEC, FINRA, or NFA
Experience evaluating risk and mapping risks and controls across business practices
Able to collaborate with and provide guidance to colleagues across functions and levels
Able to operate effectively in a fast-paced environment
Detail-oriented, with the ability to assess and prioritize multiple projects
Benefits
The base salary range for this role is $110,000 to $145,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
УдалённоSan Francisco, CA; San Jose, CA; Seattle, WA
ГибридLondon
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ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ОфисseniorUK, London
УдалённоseniorRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
ГибридseniorSan Francisco, CA; Sunnyvale, CA
ГибридLondon
География найма не уточнена
San Francisco, CA; This is a full-time role that can be held from our San Francisco hub or remotely within the Pacific US time zone
Work closely with teammates across time zones (primarily US/Canada, with close collaboration across EU and India-based colleagues on adjacent squads); Strong communication skills: ability to write clear technical documents, work autonomously, and collaborate across teams and time zones
Greenwich, Connecticut, United States
Все вакансии в одном месте - страница 18 · Job Hunters
